WorldWideScience

Sample records for group employed model

  1. 42 CFR 422.2276 - Employer group retiree marketing.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 3 2010-10-01 2010-10-01 false Employer group retiree marketing. 422.2276 Section... SERVICES (CONTINUED) MEDICARE PROGRAM MEDICARE ADVANTAGE PROGRAM Medicare Advantage Marketing Requirements § 422.2276 Employer group retiree marketing. MA organizations may develop marketing materials designed...

  2. 42 CFR 423.2276 - Employer group retiree marketing.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 3 2010-10-01 2010-10-01 false Employer group retiree marketing. 423.2276 Section... SERVICES (CONTINUED) MEDICARE PROGRAM VOLUNTARY MEDICARE PRESCRIPTION DRUG BENEFIT Part D Marketing Requirements § 423.2276 Employer group retiree marketing. Part D sponsors may develop marketing materials...

  3. Group purchasing of workplace health promotion services for small employers.

    Science.gov (United States)

    Harris, Jeffrey R; Hammerback, Kristen R; Hannon, Peggy A; McDowell, Julie; Katzman, Avi; Clegg-Thorp, Catherine; Gallagher, John

    2014-07-01

    Small employers are underserved with workplace health promotion services, so we explored the potential for group purchasing of these services. We conducted semistructured telephone interviews of member organizations serving small employers, as well as workplace health promotion vendors, in Washington State. We interviewed 22 employer organizations (chambers of commerce, trade associations, and an insurance trust) and vendors (of fitness facilities, healthy vending machines, fresh produce delivery, weight management services, and tobacco cessation quitlines). Both cautiously supported the idea of group purchasing but felt that small employers' workplace health promotion demand must increase first. Vendors providing off-site services, for example, quitline, found group purchasing more feasible than vendors providing on-site services, for example, produce delivery. Employer member organizations are well-positioned to group purchase workplace health promotion services; vendors are receptive if there is potential profit.

  4. An employer brand predictive model for talent attraction and retention

    Directory of Open Access Journals (Sweden)

    Annelize Botha

    2011-02-01

    Full Text Available Orientation: In an ever shrinking global talent pool organisations use employer brand to attract and retain talent, however, in the absence of theoretical pointers, many organisations are losing out on a powerful business tool by not developing or maintaining their employer brand correctly. Research purpose: This study explores the current state of knowledge about employer brand and identifies the various employer brand building blocks which are conceptually integrated in a predictive model.Motivation for the study: The need for scientific progress though the accurate representation of a set of employer brand phenomena and propositions, which can be empirically tested, motivated this study.Research design, approach and method: This study was nonempirical in approach and searched for linkages between theoretical concepts by making use of relevant contextual data. Theoretical propositions which explain the identified linkages were developed for purpose of further empirical research.Main findings: Key findings suggested that employer brand is influenced by target group needs, a differentiated Employer Value Proposition (EVP, the people strategy, brand consistency, communication of the employer brand and measurement of Human Resources (HR employer branding efforts.Practical/managerial implications: The predictive model provides corporate leaders and their human resource functionaries a theoretical pointer relative to employer brand which could guide more effective talent attraction and retention decisions.Contribution/value add: This study adds to the small base of research available on employer brand and contributes to both scientific progress as well as an improved practical understanding of factors which influence employer brand.

  5. Markowitz portfolio optimization model employing fuzzy measure

    Science.gov (United States)

    Ramli, Suhailywati; Jaaman, Saiful Hafizah

    2017-04-01

    Markowitz in 1952 introduced the mean-variance methodology for the portfolio selection problems. His pioneering research has shaped the portfolio risk-return model and become one of the most important research fields in modern finance. This paper extends the classical Markowitz's mean-variance portfolio selection model applying the fuzzy measure to determine the risk and return. In this paper, we apply the original mean-variance model as a benchmark, fuzzy mean-variance model with fuzzy return and the model with return are modeled by specific types of fuzzy number for comparison. The model with fuzzy approach gives better performance as compared to the mean-variance approach. The numerical examples are included to illustrate these models by employing Malaysian share market data.

  6. Toward the Employability-Link Model: Current Employment Transition to Future Employment Perspectives

    NARCIS (Netherlands)

    Thijssen, Johannes G.L.; Heijden, van der Beatrice I.J.M.; Rocco, Tonette S.

    2008-01-01

    This article goes into a critical analysis of the concept of employability, its development across historical periods, its components, and different strategic approaches to enhance workers' employability throughout their career. Given the need for a systematic analysis and more empirical research in

  7. 45 CFR 146.150 - Guaranteed availability of coverage for employers in the small group market.

    Science.gov (United States)

    2010-10-01

    ... employers in the small group market in the State consistent with applicable State law and without regard to... 45 Public Welfare 1 2010-10-01 2010-10-01 false Guaranteed availability of coverage for employers... employers in the small group market. (a) Issuance of coverage in the small group market. Subject to...

  8. Motion Model Employment using interacting Motion Model Algorithm

    DEFF Research Database (Denmark)

    Hussain, Dil Muhammad Akbar

    2006-01-01

    model being correct is computed through a likelihood function for each model.  The study presented a simple technique to introduce additional models into the system using deterministic acceleration which basically defines the dynamics of the system.  Therefore, based on this value more motion models can...... be employed to increase the coverage.  Finally, the combined estimate is obtained using posteriori probabilities from different filter models.   The implemented approach provides an adaptive scheme for selecting various number of motion models.  Motion model description is important as it defines the kind...

  9. Motion Model Employment using interacting Motion Model Algorithm

    DEFF Research Database (Denmark)

    Hussain, Dil Muhammad Akbar

    2006-01-01

    The paper presents a simulation study to track a maneuvering target using a selective approach in choosing Interacting Multiple Models (IMM) algorithm to provide a wider coverage to track such targets.  Initially, there are two motion models in the system to track a target.  Probability of each...... model being correct is computed through a likelihood function for each model.  The study presented a simple technique to introduce additional models into the system using deterministic acceleration which basically defines the dynamics of the system.  Therefore, based on this value more motion models can...... be employed to increase the coverage.  Finally, the combined estimate is obtained using posteriori probabilities from different filter models.   The implemented approach provides an adaptive scheme for selecting various number of motion models.  Motion model description is important as it defines the kind...

  10. Effective Employer Engagement: The Year Up Model

    Science.gov (United States)

    Workforce Strategy Center, 2009

    2009-01-01

    It is hard to imagine a more critical time for helping the low-skilled and disenfranchised youth in our communities to become gainfully employed. Even as the nation suffers through its worst economic downturn in decades, America's business and industry leaders are predicting an unprecedented shortage of educated and skilled workers to meet the…

  11. Modelling group dynamic animal movement

    DEFF Research Database (Denmark)

    Langrock, Roland; Hopcraft, J. Grant C.; Blackwell, Paul G.

    2014-01-01

    Group dynamic movement is a fundamental aspect of many species' movements. The need to adequately model individuals' interactions with other group members has been recognised, particularly in order to differentiate the role of social forces in individual movement from environmental factors. However......, to date, practical statistical methods which can include group dynamics in animal movement models have been lacking. We consider a flexible modelling framework that distinguishes a group-level model, describing the movement of the group's centre, and an individual-level model, such that each individual...... makes its movement decisions relative to the group centroid. The basic idea is framed within the flexible class of hidden Markov models, extending previous work on modelling animal movement by means of multi-state random walks. While in simulation experiments parameter estimators exhibit some bias...

  12. Modeling Interactions in Small Groups

    Science.gov (United States)

    Heise, David R.

    2013-01-01

    A new theory of interaction within small groups posits that group members initiate actions when tension mounts between the affective meanings of their situational identities and impressions produced by recent events. Actors choose partners and behaviors so as to reduce the tensions. A computer model based on this theory, incorporating reciprocal…

  13. An Econometric Model for Forecasting Income and Employment in Hawaii.

    Science.gov (United States)

    Chau, Laurence C.

    This report presents the methodology for short-run forecasting of personal income and employment in Hawaii. The econometric model developed in the study is used to make actual forecasts through 1973 of income and employment, with major components forecasted separately. Several sets of forecasts are made, under different assumptions on external…

  14. MODELLING OF ONLINE GROUP DISCOUNTS

    Directory of Open Access Journals (Sweden)

    Karlo Kotarac

    2013-02-01

    Full Text Available Web pages for group discounts have become very popular in the past few years. In this paper we concentrate on the group discounts for the service industry in which a quality of the service plays an important role in retaining customers which in return affects business profitability. We present a model of the group discount offer from a merchant’s point view. A merchant decides about the size of the discount offered, having in mind quality of the service offered which is affected by the number of customers who use the service. Finally, we derive the first order optimality conditions.

  15. Prospecting for customers in the small employer market: the experience of Arizona Health Care Group.

    Science.gov (United States)

    Christianson, J B; Liu, C F; Schroeder, C M

    1994-01-01

    The findings of this study provide an interesting profile of the small employer "prospects" for prepaid health plans, where a prospect is defined as an employer that responds to a mass mailing effort with a request for information and further contact. About 60% of these prospects already have insurance, with 40% having group insurance. Therefore, a substantial portion of prospects are seeking to replace their existing health benefit package with a different one. Of those who do not offer existing insurance, the most common reason is that it is "too expensive" or the employer is "not profitable." A very small proportion do not offer insurance because they do not qualify for it due to medical underwriting considerations. Prospects tend to be larger than non-prospects in terms of sales, but employ lower wage employees, on average. About half of prospects are in service industries, a proportion typical of small employers in general. Somewhat surprisingly, most prospects have been in operation for over five years. They are not new firms attempting to establish their benefit packages. This is consistent with the findings on gross sales, suggesting that some maturity is necessary before an employer considers offering group health insurance as a benefit. The prepaid plans in this study also appeared to target established employers for their marketing efforts. In responding to questions about their attitudes towards health insurance, over one-quarter of prospects indicated that they would be unwilling to offer insurance at rates so low that they would not normally apply to the coverages offered by prepaid plans. Thus, although they were "prospects" by the study's definition, they were unlikely to eventually contract with prepaid plans. Those prospects that had offered insurance previously, but had discontinued it, tended to cite premium increases as the reason. This suggests that prospects among small employers are likely to be very price sensitive, and that further

  16. Employment, Production and Consumption model: Patterns of phase transitions

    Science.gov (United States)

    Lavička, H.; Lin, L.; Novotný, J.

    2010-04-01

    We have simulated the model of Employment, Production and Consumption (EPC) using Monte Carlo. The EPC model is an agent based model that mimics very basic rules of industrial economy. From the perspective of physics, the nature of the interactions in the EPC model represents multi-agent interactions where the relations among agents follow the key laws for circulation of capital and money. Monte Carlo simulations of the stochastic model reveal phase transition in the model economy. The two phases are the phase with full unemployment and the phase with nearly full employment. The economy switches between these two states suddenly as a reaction to a slight variation in the exogenous parameter, thus the system exhibits strong non-linear behavior as a response to the change of the exogenous parameters.

  17. Suzanne F. Delbanco on the Leapfrog Group and employer purchasing power. Interview by Pamela K. Scarrow.

    Science.gov (United States)

    Delbanco, Suzanne F

    2004-01-01

    Suzanne F. Delbanco, PhD MPH, is the first executive director of The Leapfrog Group, founded by the Business Roundtable. The Leapfrog Group's goal is to mobilize employer purchasing power to initiate breakthrough improvements in the safety, quality, and overall value of healthcare for American consumers. The group's growing consortium of more than 155 Fortune 500 companies and other large private and public healthcare purchasers provides health benefits to more than 34 million Americans; these companies spend more than 62 billion dollars on healthcare annually. Dr. Delbanco is a member of the National Committee for Quality Assurance Purchaser Advisory Council and a board member of Bridges to Excellence. Before joining The Leapfrog Group, she was a senior manager at the Pacific Business Group on Health (PBGH), where she worked on the quality team. Prior to joining PBGH, she worked on reproductive health policy and the changing healthcare marketplace initiative at the Henry J. Kaiser Family Foundation. She has also consulted on health insurance coverage in the temporary employment industry and on the first statewide survey in California of MediCal beneficiaries, and worked as a community Liaison for Kaiser Permanente during the establishment of one of California's first County Organized Health Systems. She holds a PhD in public policy from the Goldman School of Public PoLicy and a MPH from the School of Public Health at the University of California, Berkeley.

  18. Social, Personal and Educational Constraints on Access to Employment among Groups at Risk of Social Exclusion: Contributions from an Employment Observatory

    Science.gov (United States)

    Anuncibay, Raquel de la Fuente

    2007-01-01

    One of the challenges raised by proactive employment policies centres on redressing inequalities that are not solely of an economic nature, as others may also be added of a social and ethnic nature as well as personal, cultural and educational aspects. This article analyses the situation in which groups at risk of social exclusion find themselves…

  19. Employment of CB models for non-linear dynamic analysis

    Science.gov (United States)

    Klein, M. R. M.; Deloo, P.; Fournier-Sicre, A.

    1990-01-01

    The non-linear dynamic analysis of large structures is always very time, effort and CPU consuming. Whenever possible the reduction of the size of the mathematical model involved is of main importance to speed up the computational procedures. Such reduction can be performed for the part of the structure which perform linearly. Most of the time, the classical Guyan reduction process is used. For non-linear dynamic process where the non-linearity is present at interfaces between different structures, Craig-Bampton models can provide a very rich information, and allow easy selection of the relevant modes with respect to the phenomenon driving the non-linearity. The paper presents the employment of Craig-Bampton models combined with Newmark direct integration for solving non-linear friction problems appearing at the interface between the Hubble Space Telescope and its solar arrays during in-orbit maneuvers. Theory, implementation in the FEM code ASKA, and practical results are shown.

  20. A review of existing models and methods to estimate employment effects of pollution control policies

    Energy Technology Data Exchange (ETDEWEB)

    Darwin, R.F.; Nesse, R.J.

    1988-02-01

    The purpose of this paper is to provide information about existing models and methods used to estimate coal mining employment impacts of pollution control policies. The EPA is currently assessing the consequences of various alternative policies to reduce air pollution. One important potential consequence of these policies is that coal mining employment may decline or shift from low-sulfur to high-sulfur coal producing regions. The EPA requires models that can estimate the magnitude and cost of these employment changes at the local level. This paper contains descriptions and evaluations of three models and methods currently used to estimate the size and cost of coal mining employment changes. The first model reviewed is the Coal and Electric Utilities Model (CEUM), a well established, general purpose model that has been used by the EPA and other groups to simulate air pollution control policies. The second model reviewed is the Advanced Utility Simulation Model (AUSM), which was developed for the EPA specifically to analyze the impacts of air pollution control policies. Finally, the methodology used by Arthur D. Little, Inc. to estimate the costs of alternative air pollution control policies for the Consolidated Coal Company is discussed. These descriptions and evaluations are based on information obtained from published reports and from draft documentation of the models provided by the EPA. 12 refs., 1 fig.

  1. Effects of cognitive and experiential group therapy on self-efficacy and perceptions of employability of chemically dependent women.

    Science.gov (United States)

    Washington, O

    1999-01-01

    This quasi-experimental study assessed effects of cognitive and experiential group therapy on self-efficacy and perceptions of employability for 52 chemically dependent adult women. The sample was 98% African American. Therapy consisted of six 90-min group sessions held twice weekly. The participants were pre- and posttested with the Self-Efficacy Scale (M. Sherer et al., 1982) and the Ghiselli Self-Description Inventory (E. E. Ghiselli, 1975). After the intervention, the cognitive group had significantly higher levels than the experiential group of social self-efficacy and need for self-actualization, an indicator of aspiration for employment. General self-efficacy and decisiveness, indicators of employability, significantly increased over time for both groups. Interventions to enhance people's belief in their ability to successfully perform tasks and control outcomes, promote personal growth, teach responsibility, and enhance self-awareness could be used to develop employability skills that reduce recidivism.

  2. An Empirical Model of Employed Search, Unemployed Search, and Nonsearch.

    Science.gov (United States)

    Kahn, Lawrence M.; Low, Stuart A.

    1984-01-01

    The 1969-1971 National Longitudinal Surveys data on young men were used to study the employed worker's choice among employed search, unemployed search, and not searching for a new job. The principal results are that current wages, seniority, collective bargaining coverage, employment outside construction, and employment by government are each…

  3. 76 FR 79221 - Android Industries Belvidere, LLC, Including On-Site Leased Workers From QPS Employment Group...

    Science.gov (United States)

    2011-12-21

    ... Employment and Training Administration Android Industries Belvidere, LLC, Including On-Site Leased Workers... Android Industries Belvidere, LLC, including on-site leased workers from QPS Employment Group and Spherion... Android Industries Belvidere, LLC. The Department has determined that these workers were sufficiently...

  4. Unrealized Potential: Differing Employment Outcomes for Individuals with Mental Retardation and Other Disability Groups.

    Science.gov (United States)

    Fesko, Sheila Lynch; Temelini, David; Graham, Audrey

    This brief discusses outcomes of a study that investigated the employment and job search practices used with individuals with mental retardation to those used with individuals with mental illness, sensory impairments, and physical impairments. Survey participants included 568 employment staff and 303 individuals with disabilities from community…

  5. Safeguarding Vulnerable Groups Act 2006: The Implications for Employers in Educational Settings

    Science.gov (United States)

    Oliver, Hazel; White, Laura

    2008-01-01

    Vetting those who work with children and vulnerable adults is an emotive topic and one which can prove a challenging area for employers. The legitimate interest that parents, carers and employers have in screening those charged with the care of others can be in direct conflict with the most fundamental principles of economic freedom and employees'…

  6. Comparing linear probability model coefficients across groups

    DEFF Research Database (Denmark)

    Holm, Anders; Ejrnæs, Mette; Karlson, Kristian Bernt

    2015-01-01

    This article offers a formal identification analysis of the problem in comparing coefficients from linear probability models between groups. We show that differences in coefficients from these models can result not only from genuine differences in effects, but also from differences in one or more...... these limitations, and we suggest a restricted approach to using linear probability model coefficients in group comparisons....

  7. Storage Capacity Modeling of Reservoir Systems Employing Performance Measures

    Directory of Open Access Journals (Sweden)

    Issa Saket Oskoui

    2014-12-01

    Full Text Available Developing a prediction relationship for total (i.e. within-year plus over-year storage capacity of reservoir systems is beneficial because it can be used as an alternative to the analysis of reservoirs during designing stage and gives an opportunity to planner to examine and compare different cases in a fraction of time required for complete analysis where detailed analysis is not necessary. Existing relationships for storage capacity are mostly capable of estimating over-year storage capacity and total storage capacity can be obtained through relationships for adjusting over-year capacity and there is no independent relationship to estimate total storage capacity. Moreover these relationships do not involve vulnerability performance criterion and are not verified for Malaysia Rivers. In this study two different reservoirs in Southern part of Peninsular Malaysia, Melaka and Muar, are analyzed through a Monte Carlo simulation approach involving performance metrics. Subsequently the storage capacity results of the simulation are compared with those of the well-known existing equations. It is observed that existing models may not predict total capacity appropriately for Malaysian reservoirs. Consequently, applying the simulation results, two separate regression equations are developed to model total storage capacity of study reservoirs employing time based reliability and vulnerability performance measures.

  8. Employer Cooperation in Group Insurance Coverage for Public-School Personnel, 1964-65.

    Science.gov (United States)

    National Education Association, Washington, DC.

    This study presents data on group insurance coverage for public school personnel during the 1964-65 academic year, collected from 646 school systems of all sizes throughout the United States. Areas covered include (1) group life insurance, (2) group hospitalization insurance, (3) group medical-surgical insurance, (4) group major medical insurance,…

  9. Phylogenetic invariants for group-based models

    CERN Document Server

    Donten-Bury, Maria

    2010-01-01

    In this paper we investigate properties of algebraic varieties representing group-based phylogenetic models. We give the (first) example of a nonnormal general group-based model for an abelian group. Following Kaie Kubjas we also determine some invariants of group-based models showing that the associated varieties do not have to be deformation equivalent. We propose a method of generating many phylogenetic invariants and in particular we show that our approach gives the whole ideal of the claw tree for 3-Kimura model under the assumption of the conjecture of Sturmfels and Sullivant. This, combined with the results of Sturmfels and Sullivant, would enable to determine all phylogenetic invariants for any tree for 3-Kimura model and possibly for other group-based models.

  10. Evolutionary models of in-group favoritism.

    Science.gov (United States)

    Masuda, Naoki; Fu, Feng

    2015-01-01

    In-group favoritism is the tendency for individuals to cooperate with in-group members more strongly than with out-group members. Similar concepts have been described across different domains, including in-group bias, tag-based cooperation, parochial altruism, and ethnocentrism. Both humans and other animals show this behavior. Here, we review evolutionary mechanisms for explaining this phenomenon by covering recently developed mathematical models. In fact, in-group favoritism is not easily realized on its own in theory, although it can evolve under some conditions. We also discuss the implications of these modeling results in future empirical and theoretical research.

  11. Comparing linear probability model coefficients across groups

    DEFF Research Database (Denmark)

    Holm, Anders; Ejrnæs, Mette; Karlson, Kristian Bernt

    2015-01-01

    This article offers a formal identification analysis of the problem in comparing coefficients from linear probability models between groups. We show that differences in coefficients from these models can result not only from genuine differences in effects, but also from differences in one or more...... of the following three components: outcome truncation, scale parameters and distributional shape of the predictor variable. These results point to limitations in using linear probability model coefficients for group comparisons. We also provide Monte Carlo simulations and real examples to illustrate...... these limitations, and we suggest a restricted approach to using linear probability model coefficients in group comparisons....

  12. Frequency of satisfaction and dissatisfaction with practice among rural-based, group-employed physicians and non-physician practitioners.

    Science.gov (United States)

    Waddimba, Anthony C; Scribani, Melissa; Krupa, Nicole; May, John J; Jenkins, Paul

    2016-10-22

    being in the lowest quintile of dissatisfaction; heavier workload and greater intolerance of uncertainty reduced that likelihood. Practitioner demographics and most practice unit characteristics did not manifest any independent effect. Mutable factors, such as workload, work meaningfulness, relational needs, uncertainty/ambiguity tolerance, and risk-taking attitudes displayed the strongest association with practitioner satisfaction/dissatisfaction, independent of demographics and practice unit characteristics. Organizational efforts should be dedicated to a redesign of group-employment models, including more equitable division of clinical labor, building supportive peer networks, and uncertainty/risk tolerance coaching, to improve the quality of work life among rural practitioners.

  13. Spin Foam Models with Finite Groups

    Directory of Open Access Journals (Sweden)

    Benjamin Bahr

    2013-01-01

    Full Text Available Spin foam models, loop quantum gravity, and group field theory are discussed as quantum gravity candidate theories and usually involve a continuous Lie group. We advocate here to consider quantum gravity-inspired models with finite groups, firstly as a test bed for the full theory and secondly as a class of new lattice theories possibly featuring an analogue diffeomorphism symmetry. To make these notes accessible to readers outside the quantum gravity community, we provide an introduction to some essential concepts in the loop quantum gravity, spin foam, and group field theory approach and point out the many connections to the lattice field theory and the condensed-matter systems.

  14. Spin foam models with finite groups

    CERN Document Server

    Bahr, Benjamin; Ryan, James P

    2011-01-01

    Spin foam models, loop quantum gravity and group field theory are discussed as quantum gravity candidate theories and usually involve a continuous Lie group. We advocate here to consider quantum gravity inspired models with finite groups, firstly as a test bed for the full theory and secondly as a class of new lattice theories possibly featuring an analogue diffeomorphism symmetry. To make these notes accessible to readers outside the quantum gravity community we provide an introduction to some essential concepts in the loop quantum gravity, spin foam and group field theory approach and point out the many connections to lattice field theory and condensed matter systems.

  15. A Mathematical Model on Employment versus Several Factors in Macedonia

    Directory of Open Access Journals (Sweden)

    Shpresa Syla

    2013-08-01

    Full Text Available In this study is made an attempt to analyze the conjunction of several indicators on the employment of citizens in the Republic of Macedonia. In this regard the logistic regression and odds ratios were used in order to see how certain factors such as gender, age, ethnicity, education, area of residence and the number of family members affect employment at citizens. This study is based on data from a survey organized by the Center for Economic Analyses in December 2011, by 400 citizens of the Republic of Macedonia. Results show that young males of Macedonian nationality, those with higher education, ones that live on urban areas and the families that have greater number of members are more likely to be employed. For data processing is used software Med Calc.

  16. A Mathematical Model on Employment versus Several Factors in Macedonia

    OpenAIRE

    Shpresa Syla; Sadri Alija

    2013-01-01

    In this study is made an attempt to analyze the conjunction of several indicators on the employment of citizens in the Republic of Macedonia. In this regard the logistic regression and odds ratios were used in order to see how certain factors such as gender, age, ethnicity, education, area of residence and the number of family members affect employment at citizens. This study is based on data from a survey organized by the Center for Economic Analyses in December 2011, by 400 citizens of the ...

  17. Employer-driven consumerism: integrating health into the business model.

    Science.gov (United States)

    Thompson, Michael; Checkley, Joseph

    2006-01-01

    Consumer-driven health care is a misnomer. Notwithstanding the enormous role the individual consumer has to play in reshaping the U.S. health care delivery system, this article will focus on the employer as the key driver of change and innovation in the consumerism revolution. American Standard provides a case study of how one major employer has evaluated health care in the context of its business and aggressively integrated consumerism and health into the core of its business. Other companies will appropriately execute consumerism strategies in a fashion consistent with their own needs, culture, resources and populations. However, the principles supporting those strategies will be very much consistent.

  18. Full employment and competition in the Aspen economic model: implications for modeling acts of terrorism.

    Energy Technology Data Exchange (ETDEWEB)

    Sprigg, James A.; Ehlen, Mark Andrew

    2004-11-01

    Acts of terrorism could have a range of broad impacts on an economy, including changes in consumer (or demand) confidence and the ability of productive sectors to respond to changes. As a first step toward a model of terrorism-based impacts, we develop here a model of production and employment that characterizes dynamics in ways useful toward understanding how terrorism-based shocks could propagate through the economy; subsequent models will introduce the role of savings and investment into the economy. We use Aspen, a powerful economic modeling tool developed at Sandia, to demonstrate for validation purposes that a single-firm economy converges to the known monopoly equilibrium price, output, and employment levels, while multiple-firm economies converge toward the competitive equilibria typified by lower prices and higher output and employment. However, we find that competition also leads to churn by consumers seeking lower prices, making it difficult for firms to optimize with respect to wages, prices, and employment levels. Thus, competitive firms generate market ''noise'' in the steady state as they search for prices and employment levels that will maximize profits. In the context of this model, not only could terrorism depress overall consumer confidence and economic activity but terrorist acts could also cause normal short-run dynamics to be misinterpreted by consumers as a faltering economy.

  19. An experiential group model for psychotherapy supervision.

    Science.gov (United States)

    Altfeld, D A

    1999-04-01

    This article presents an experiential group model of supervision constructed for both group and individual therapy presentations, emphasizing concepts from object relations theory and group-as-a-whole dynamics. It focuses on intrapsychic, interpersonal, and systems processes, and stresses the group aspect of the supervisory process. Its central thesis is that material presented in a group supervisory setting stimulates conscious and unconscious parallel processes in group members. Through here-and-now responses, associations, and interactions among the supervisory members, countertransference issues that have eluded the presenter can make themselves known and be worked through on emotional as well as cognitive levels. Selected excerpts from supervisory sessions demonstrate various attributes and strengths of the model.

  20. Model of trust in work groups

    Directory of Open Access Journals (Sweden)

    Sidorenkov, Andrey V.

    2013-09-01

    Full Text Available A multi-dimensional model of trust in a small group has been developed and approved. This model includes two dimensions: trust levels (interpersonal trust, micro-group trust, group trust, trust between subgroups, trust between subgroups and group and types of trust (activity-coping, information-influential and confidentially-protective trust. Each level of trust is manifested in three types, so there are fifteen varieties of trust. Two corresponding questionnaires were developed for the study. 347 persons from 32 work groups participated in the research. It was determined that in a small group there is an asymmetry of trust levels within the group. In particular, micro-group trust is demonstrated the most in comparison with other trust levels. There is also an asymmetry in the manifestation of interpersonal trust in a group structure. This is demonstrated by the fact that in informal subgroups, in comparison with a group as a whole, interpersonal confidential and performance trust is the most manifested. In a small group and in informal subgroups there are relationships between trust levels which have certain regularities.

  1. Employing Cognitive Chunking Techniques to Enhance Sight-Reading Performance of Undergraduate Group-Piano Students

    Science.gov (United States)

    Pike, Pamela D.; Carter, Rebecca

    2010-01-01

    The purpose of this study was to compare the effect of cognitive chunking techniques among first-semester group-piano music majors. The ability to group discrete pieces of information into larger, more meaningful chunks is essential for efficient cognitive processing. Since reading keyboard music and playing the piano is a cognitively complex…

  2. Employing Cognitive Chunking Techniques to Enhance Sight-Reading Performance of Undergraduate Group-Piano Students

    Science.gov (United States)

    Pike, Pamela D.; Carter, Rebecca

    2010-01-01

    The purpose of this study was to compare the effect of cognitive chunking techniques among first-semester group-piano music majors. The ability to group discrete pieces of information into larger, more meaningful chunks is essential for efficient cognitive processing. Since reading keyboard music and playing the piano is a cognitively complex…

  3. Supported Employment: Report of a Successful Enclave Model: Research Note.

    Science.gov (United States)

    Warth, Sue

    1990-01-01

    Three men and three women with moderate intellectual handicaps but no work experience outside sheltered workshops were employed by the Royal Australian Mint in the first enclave project in the Australian Capital Territory. Significant worker wages and improved independence and self-esteem were noted, and social security savings of over $7000…

  4. Point groups in the Vibron model

    Energy Technology Data Exchange (ETDEWEB)

    Leviatan, A.

    1989-08-01

    The question of incorporating the notion of point groups in the algebraic Vibron model for molecular rotation--vibration spectra is addressed. Boson transformations which act on intrinsic states are identified as the algebraic analog of the discrete point group transformations. A prescription for assigning point group labels to states of the Vibron model is obtained. In case of nonlinear triatomic molecules the Jacobi coordinates are found to be a convenient possible choice for the geometric counterparts of the algebraic shape parameters. The work focuses on rigid diatomic and triatomic molecules (linear and bent).

  5. Surface developmental dyslexia is as prevalent as phonological dyslexia when appropriate control groups are employed.

    Science.gov (United States)

    Wybrow, Dean P; Hanley, J Richard

    2015-01-01

    Previous investigations of the incidence of developmental surface and phonological dyslexia using reading-age-matched control groups have identified many more phonological dyslexics (poor nonword reading relative to irregular-word reading) than surface dyslexics (poor irregular-word reading relative to nonword reading). However, because the measures that have been used to estimate reading age include irregular-word reading ability, they appear inappropriate for assessing the incidence of surface dyslexia. The current study used a novel method for generating control groups whose reading ability was matched to that of the dyslexic sample. The incidence of surface dyslexia was assessed by comparing dyslexic performance with that of a control group who were matched with the dyslexics on a test of nonword reading. The incidence of phonological dyslexia was assessed with reference to a control group who were matched with the dyslexics at irregular-word reading. These control groups led to the identification of an approximately equal number of children with surface and phonological dyslexia. It appeared that selecting control participants who were matched with dyslexics for reading age led to the recruitment of individuals with relatively high nonword reading scores relative to their irregular-word reading scores compared with other types of control group. The theoretical implications of these findings are discussed.

  6. Intelligent negotiation model for ubiquitous group decision scenarios

    Institute of Scientific and Technical Information of China (English)

    Joo CARNEIRO; Diogo MARTINHO; Goreti MARREIROS; Paulo NOVAIS

    2016-01-01

    Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process specifically designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments, complex algorithms, and agents’ modeling in a negotiation model. It uses a social networking logic due to the type of communication employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process, which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look into this problem by considering and defining strategies to deal with important points such as the type of attributes in the multi- criterion problems, agents’ reasoning, and intelligent dialogues.

  7. The role of political affiliation in employment decisions: A model and research agenda.

    Science.gov (United States)

    Roth, Philip L; Goldberg, Caren B; Thatcher, Jason B

    2017-09-01

    Organizational researchers have studied how individuals identify with groups and organizations and how this affiliation influences behavior for decades (e.g., Tajfel, 1982). Interestingly, investigation into political affiliation and political affiliation similarity in the organizational sciences is extremely rare. This is striking, given the deep political divides that exist between groups of individuals described in the political science literature. We draw from theories based on similarity, organizational identification, and person-environment fit, as well as theoretical notions related to individuating information, to develop a model, the political affiliation model (PAM), which describes the implications of political affiliation and political similarity for employment decisions. We set forth a number of propositions based on PAM, to spur future research in the organizational sciences for a timely topic which has received little attention. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  8. Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks

    Directory of Open Access Journals (Sweden)

    Momchil Nenov

    2015-04-01

    Full Text Available Mathematical modeling is used to explore and understand complex systems ranging from weather patterns to social networks to gene-expression regulatory mechanisms. There is an upper limit to the amount of details that can be reflected in a model imposed by finite computational resources. Thus, there are methods to reduce the complexity of the modeled system to its most significant parameters. We discuss the suitability of clustering techniques, in particular Power Graph Analysis as an intermediate step of modeling.

  9. Group Buying Schemes : A Sustainable Business Model?

    OpenAIRE

    Köpp, Sebastian; Mukhachou, Aliaksei; Schwaninger, Markus

    2013-01-01

    Die Autoren gehen der Frage nach, ob "Group Buying Schemes" wie beispielsweise von den Unternehmen Groupon und Dein Deal angeboten, ein nachhaltiges Geschäftsmodell sind. Anhand der Fallstudie Groupon wird mit einem System Dynamics Modell festgestellt, dass das Geschäftsmodell geändert werden muss, wenn die Unternehmung auf Dauer lebensfähig sein soll. The authors examine if group buying schemes are a sustainable business model. By means of the Groupon case study and using a System Dynami...

  10. An integrative model for measuring graduates’ employability skills—A study in China

    Directory of Open Access Journals (Sweden)

    Wenping Su

    2015-12-01

    Full Text Available Employability is a key issue in graduates’ job-hunting, but little research has been done on that of the graduates in Chinese universities. These universities have been experiencing a decline in their graduate employment since the past decade. This paper attempts to tackle this issue. It reviews the relevant research on employability and develops a research-based theoretical framework to evaluate and analyze the graduates’ employability in China. It adopts multiple approaches to establish the skills that will enhance university students’ employability. Investigating around 100 employers and 200 undergraduates from the universities in Beijing, the paper explores the characteristics of and factors influencing the graduates’ employability. Subsequently, it proposes a qualitative model to measure graduates’ employability. Based on the findings, it discusses the theoretical and practical implications and provides advice for Chinese graduates to improve their employability.

  11. Affine Poisson Groups and WZW Model

    Directory of Open Access Journals (Sweden)

    Ctirad Klimcík

    2008-01-01

    Full Text Available We give a detailed description of a dynamical system which enjoys a Poisson-Lie symmetry with two non-isomorphic dual groups. The system is obtained by taking the q → ∞ limit of the q-deformed WZW model and the understanding of its symmetry structure results in uncovering an interesting duality of its exchange relations.

  12. Students' perceptions of being graded as a group in the college classroom: relations among students' age, employment, and perceived group satisfaction.

    Science.gov (United States)

    Barfield, Rufus L

    2002-12-01

    This investigation compared and measured for different age groups of students, hours of employment, and previous grading experiences of one student cohort in relation to their perceived overall satisfaction with being graded as a group. A cohort of 230 students from a large southern metropolitan university enrolled in sections of two undergraduate classes. Group Interaction and Decision Making and Conflict Management, participated. Analysis indicated that (a) older students (28-47 years) were more likely to be dissatisfied with a group grade experience than middle (23-27 years) and younger (18-22 years) students. (b) Older students working part time were significantly more dissatisfied with the overall group experience than the younger part-time working students. (c) Older part-time working students were significantly more dissatisfied with the overall experience of working and being graded as a group than the middle part-time and middle full-time working students. Differences were noted between the older and younger students, which supported older students' overall dissatisfaction with their experience of being graded as a group. Common complaints by older students were that younger students were immature, irresponsible, lacked "real-life" experience, and had misplaced priorities. Common complaints by younger students were that older students were too serious and rigid. It is recommended that this work be extended to include other comparison groups, graduate students, and other disciplines.

  13. VLES Modelling with the Renormalization Group

    Institute of Scientific and Technical Information of China (English)

    Chris De Langhe; Bart Merci; Koen Lodefier; Erik Dick

    2003-01-01

    In a Very-Large-Eddy Simulation (VLES), the filterwidth-wavenumber can be outside the inertial range, and simple subgrid models have to be replaced by more complicated ('RANS-like') models which can describe the transport of the biggest eddies. One could approach this by using a RANS model in these regions, and modify the lengthscale in the model for the LES-regions[1~3]. The problem with these approaches is that these models are specifically calibrated for RANS computations, and therefore not suitable to describe inertial range quantities. We investigated the construction of subgrid viscosity and transport equations without any calibrated constants, but these are calculated directly form the Navier-Stokes equation by means of a Renormalization Group (RG)procedure. This leads to filterwidth dependent transport equations and effective viscosity with the right limiting behaviour (DNS and RANS limits).

  14. Interagency Coordination and Effectiveness: Employing the JIATF Model

    Science.gov (United States)

    2011-06-01

    34Nangarhar Inc." 27 Ibid. 41 interagency has the opportunity to establish early stages of critical infrastructure’ to attract investors. The interagency...entail frightful risks" .4 Applying the JIA TF Model JIA TF -South senior representatives can routinely meet to revise mission sets, review strategy

  15. 75 FR 16840 - Proposed Extension of Information Collection Request Submitted for Public Comment; Model Employer...

    Science.gov (United States)

    2010-04-02

    ... Comment; Model Employer CHIP Notice AGENCY: Employee Benefits Security Administration, Department of Labor... ] Administration is soliciting comments on the Model CHIP Employer Notice. A copy of the information collection...(f)(3)(B)(i)(I), and section 9801(f)(3)(B)(i)(I) of the Internal Revenue Code, as added by CHIPRA,...

  16. A Simple Forecasting Model Linking Macroeconomic Policy to Industrial Employment Demand.

    Science.gov (United States)

    Malley, James R.; Hady, Thomas F.

    A study detailed further a model linking monetary and fiscal policy to industrial employment in metropolitan and nonmetropolitan areas of four United States regions. The model was used to simulate the impacts on area and regional employment of three events in the economy: changing real gross national product (GNP) via monetary policy, holding the…

  17. An Evaluation of High School Curricula Employing Using the Element-Based Curriculum Development Model

    Science.gov (United States)

    Aslan, Dolgun; Günay, Rafet

    2016-01-01

    This study was conducted with the aim of evaluating the curricula that constitute the basis of education provision at high schools in Turkey from the perspective of the teachers involved. A descriptive survey model, a quantitative research method was employed in this study. An item-based curriculum evaluation model was employed as part of the…

  18. Exploring precarious employment and women's health within the context of U.S. microenterprise using focus groups.

    Science.gov (United States)

    Salt, Rebekah; Lee, Jongwon

    2014-01-01

    Nursing has been a leader in exploring social determinants of health within the context of U.S. microenterprise and women's health. The purpose of this study was to explore precarious employment within the context of microenterprise and women's health using focus groups with clientele from New Mexico (NM). The specific aims were to identify (1) the health concerns of low-income women who utilized resources from Women's Economic Self-Sufficiency Team (WESST), and (2) the meaning of precarious employment in low-income women's lives. Fourteen women, ranging in age from 21-65 years, who were affiliated with regional WESST sites around NM participated in focus groups and completed a demographic questionnaire. Focus group data were analyzed using content analysis. The degree of interrater agreement was determined by calculating the Cohen's kappa, percentage agreement, and prevalence-adjusted and bias-adjusted kappa (PABAK). Two broad themes emerged from these data: (1) Working for Yourself and (2) Strategies. Although the women identified concerns about participation in microenterprise, flexibility, freedom, and feeling purposeful were motivators to pursue a small business. The kappa statistics on the five transcripts revealed poor inter-rater agreement, yet PABAK, which is a more sophisticated inter-rater reliability index, indicated that inter-rater agreement between the two raters was satisfactory. Despite the challenges associated with microenterprise in the US, women found value in working for themselves. © 2014 Wiley Periodicals, Inc.

  19. Chemical Evolution models of Local Group galaxies

    CERN Document Server

    Tosi, M P

    2003-01-01

    Status quo and perspectives of standard chemical evolution models of Local Group galaxies are summarized, discussing what we have learnt from them, what we know we have not learnt yet, and what I think we will learn in the near future. It is described how Galactic chemical evolution models have helped showing that: i) stringent constraints on primordial nucleosynthesis can be derived from the observed Galactic abundances of the light elements, ii) the Milky Way has been accreting external gas from early epochs to the present time, iii) the vast majority of Galactic halo stars have formed quite rapidly at early epochs. Chemical evolution models for the closest dwarf galaxies, although still uncertain so far, are expected to become extremely reliable in the nearest future, thanks to the quality of new generation photometric and spectroscopic data which are currently being acquired.

  20. Computational social dynamic modeling of group recruitment.

    Energy Technology Data Exchange (ETDEWEB)

    Berry, Nina M.; Lee, Marinna; Pickett, Marc; Turnley, Jessica Glicken (Sandia National Laboratories, Albuquerque, NM); Smrcka, Julianne D. (Sandia National Laboratories, Albuquerque, NM); Ko, Teresa H.; Moy, Timothy David (Sandia National Laboratories, Albuquerque, NM); Wu, Benjamin C.

    2004-01-01

    The Seldon software toolkit combines concepts from agent-based modeling and social science to create a computationally social dynamic model for group recruitment. The underlying recruitment model is based on a unique three-level hybrid agent-based architecture that contains simple agents (level one), abstract agents (level two), and cognitive agents (level three). This uniqueness of this architecture begins with abstract agents that permit the model to include social concepts (gang) or institutional concepts (school) into a typical software simulation environment. The future addition of cognitive agents to the recruitment model will provide a unique entity that does not exist in any agent-based modeling toolkits to date. We use social networks to provide an integrated mesh within and between the different levels. This Java based toolkit is used to analyze different social concepts based on initialization input from the user. The input alters a set of parameters used to influence the values associated with the simple agents, abstract agents, and the interactions (simple agent-simple agent or simple agent-abstract agent) between these entities. The results of phase-1 Seldon toolkit provide insight into how certain social concepts apply to different scenario development for inner city gang recruitment.

  1. A Model-Based Systems Engineering Methodology for Employing Architecture In System Analysis: Developing Simulation Models Using Systems Modeling Language Products to Link Architecture and Analysis

    Science.gov (United States)

    2016-06-01

    ENGINEERING METHODOLOGY FOR EMPLOYING ARCHITECTURE IN SYSTEM ANALYSIS: DEVELOPING SIMULATION MODELS USING SYSTEMS MODELING LANGUAGE PRODUCTS TO LINK... ENGINEERING METHODOLOGY FOR EMPLOYING ARCHITECTURE IN SYSTEM ANALYSIS: DEVELOPING SIMULATION MODELS USING SYSTEMS MODELING LANGUAGE PRODUCTS TO LINK...to model-based systems engineering (MBSE) by formally defining an MBSE methodology for employing architecture in system analysis (MEASA) that presents

  2. Developing a Sustainable Practical Model of Graduate Employability for Higher Education

    Directory of Open Access Journals (Sweden)

    Ahmed Umar Rufai

    2015-01-01

    Full Text Available The purpose of this paper is to evolve a sustainable practical model of employability skills that is sure to capture relevant learning aspects of a particular occupational discipline to be used as framework for Undergraduate students to develop their employability potentials. The study was conducted in three Universities and Polytechnics each with three multi-national companies. Data were collected using semi-structured interviews. Using purposeful sampling 18 academic staff and 3 professionals representing company employers were selected as the study participants. The study evolved a model that is work-based, explicit in its outcome, fully articulated and realistic in terms of employability skill experiences. The proposed model can be used to establish a common higher education programme or curricula that is work-based and skill experience oriented, that can encourage students in higher education to think about work place learning more explicitly and reflectively, that will in turn help them to develop a broad range of knowledge, skills, attitudes, and values, each of which ultimately contribute in some manner to graduate employability.  The paper is considered a contribution to the evolution and growth of knowledge on the linkage between higher education and workplace, through which the ‘skill gap’ occurring between the demand of employment and the level of educational preparation of graduates can be bridged. Keywords: Employability, Higher Education, Graduates, Model/Framework,   academic staff, Employers/Professionals

  3. Role Modeling and Role Playing: A Manual for Vocational Development and Employment Agencies.

    Science.gov (United States)

    Bertcher, Harvey; And Others

    This project investigated two major areas: (1) ways in which social science research and employment agency experience could be melded so as to make practical knowledge available to these agencies, and (2) ways of convincing employment agencies to use this knowledge. The manual resulting from the investigation focuses on role modeling and role…

  4. Developing a Sustainable Practical Model of Graduate Employability for Higher Education

    Science.gov (United States)

    Rufai, Ahmed Umar; Bakar, Ab Rahim Bin; Rashi, Abdullah Bin Mat

    2015-01-01

    The purpose of this paper is to evolve a sustainable practical model of employability skills that is sure to capture relevant learning aspects of a particular occupational discipline to be used as framework for Undergraduate students to develop their employability potentials. The study was conducted in three Universities and Polytechnics each with…

  5. Testing a Model of Undergraduate Competence in Employability Skills and Its Implications for Stakeholders

    Science.gov (United States)

    Jackson, Denise

    2014-01-01

    Despite the development of employability skills being firmly entrenched in higher education's strategic agenda worldwide; recent graduates' standards in certain skills are not meeting industry expectations. This paper presents and tests a model of undergraduate competence in employability skills. It highlights those factors which impact on…

  6. Testing a Model of Undergraduate Competence in Employability Skills and Its Implications for Stakeholders

    Science.gov (United States)

    Jackson, Denise

    2014-01-01

    Despite the development of employability skills being firmly entrenched in higher education's strategic agenda worldwide; recent graduates' standards in certain skills are not meeting industry expectations. This paper presents and tests a model of undergraduate competence in employability skills. It highlights those factors which impact…

  7. Modeling of Internet Influence on Group Emotion

    Science.gov (United States)

    Czaplicka, Agnieszka; Hołyst, Janusz A.

    Long-range interactions are introduced to a two-dimensional model of agents with time-dependent internal variables ei = 0, ±1 corresponding to valencies of agent emotions. Effects of spontaneous emotion emergence and emotional relaxation processes are taken into account. The valence of agent i depends on valencies of its four nearest neighbors but it is also influenced by long-range interactions corresponding to social relations developed for example by Internet contacts to a randomly chosen community. Two types of such interactions are considered. In the first model the community emotional influence depends only on the sign of its temporary emotion. When the coupling parameter approaches a critical value a phase transition takes place and as result for larger coupling constants the mean group emotion of all agents is nonzero over long time periods. In the second model the community influence is proportional to magnitude of community average emotion. The ordered emotional phase was here observed for a narrow set of system parameters.

  8. Establishment of Comprehensive Evaluation Model of the New Generation Migrant Workers' Employability

    OpenAIRE

    GAO, Jianli; ZHANG, Tongquan

    2013-01-01

    Through literature research and expert interviews, we extract 10 variables influencing the new generation migrant workers' employability, and establish the comprehensive evaluation model of the new generation migrant workers' employability. Using factor analysis, we derive that the model includes three factors: skill literacy, relationship literacy and basic literacy. The weights of each factor are 0.580, 0.244 and 0.174 8, respectively. Skill literacy is affected by skill level, learning abi...

  9. MODEL AUTHENTIC SELF-ASSESSMENT DALAM PENGEMBANGAN EMPLOYABILITY SKILLS MAHASISWA PENDIDIKAN TINGGI VOKASI

    OpenAIRE

    I Made Suarta; Nyoman Sentosa Hardika; I Gusti Ngurah Sanjaya; I Wayan Basi Arjana

    2015-01-01

    Tujuan penelitian ini adalah mengembangkan perangkat penilaian guna mengevaluasi capaian employability skills yang diintegrasikan dalam pembelajaran aplikasi basis data. Model penilaian yang dikembangkan merupakan kombinasi dari penilaian diri sendiri dan penilaian otentik, diusulkan dengan sebutan model authentic self-assessment. Langkah-langkah pengembangan model authentic self-assessment meliputi penentuan standar, penentuan tugas otentik, pembuatan kriteria, dan pembuatan rubrik. Hasil pe...

  10. A Multi-Objective Model for Planning Equal Employment Opportunities. Research Report No. 23. Revised Edition.

    Science.gov (United States)

    Charnes, A.; And Others

    The document suggests some new modeling approcaches for equal employment opportunity (EEO) planning. Previous manpower planning models of the Office of Civilian Manpower Management have utilized multi-period Markoff processes embedded in goal programing (multiple objective) models. These are here extended to EEO plans directed to changing the mix…

  11. EnviroAtlas - Percentage of Working Age Population Who Are Employed by Block Group for the Conterminous United States

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset shows the employment rate, or the percent of the population aged 16-64 who have worked in the past 12 months. The employment rate is a...

  12. A review method for UML requirements analysis model employing system-side prototyping.

    Science.gov (United States)

    Ogata, Shinpei; Matsuura, Saeko

    2013-12-01

    User interface prototyping is an effective method for users to validate the requirements defined by analysts at an early stage of a software development. However, a user interface prototype system offers weak support for the analysts to verify the consistency of the specifications about internal aspects of a system such as business logic. As the result, the inconsistency causes a lot of rework costs because the inconsistency often makes the developers impossible to actualize the system based on the specifications. For verifying such consistency, functional prototyping is an effective method for the analysts, but it needs a lot of costs and more detailed specifications. In this paper, we propose a review method so that analysts can verify the consistency among several different kinds of diagrams in UML efficiently by employing system-side prototyping without the detailed model. The system-side prototype system does not have any functions to achieve business logic, but visualizes the results of the integration among the diagrams in UML as Web pages. The usefulness of our proposal was evaluated by applying our proposal into a development of Library Management System (LMS) for a laboratory. This development was conducted by a group. As the result, our proposal was useful for discovering the serious inconsistency caused by the misunderstanding among the members of the group.

  13. Measuring attitudes in the self-employment intention model: methodological considerations

    Directory of Open Access Journals (Sweden)

    Josipa Mijoč

    2016-12-01

    Full Text Available The paper is based on a statistical model, the construction of which requires determining the independent variables. To determine the predictive ability of different approaches to measuring independent variables, the paper provides an overview of theoretical and research approaches to the research problem. The purpose of the study is to analyze the predictive power of instruments measuring attitudes toward self-employment as one of the most significant predictors of a career choice according to the theory of planned behavior. The paper juxtaposes two various measurement approaches in assessing attitudes toward self-employment. The first approach is based on behavioral beliefs that produce favorable or unfavorable attitudes toward a self-employed career and considers two opposing options: pursuing a self-employed career or accepting a job position (working for an employer. In this context, developing a measurement construct is a multistep process that requires testing psychometric characteristics of proposed measures based on predefined theoretical and empirical dimensions. The second approach incorporates aggregate measures of attitude toward self-employment in which the predictor variable is assessed from only one perspective, without taking into account other career options. Through the means of multiple regression analysis, the paper details a comparison of both measurement approaches and their performance in explaining the dependent variable (self-employment intention. The predictive power of the model is defined as a criterion for selecting a measurement approach that can serve as a methodological framework for prospective studies focused on investigating attitudes toward certain behavior.

  14. Corn Heterotic Group and Model in Heilongjiang of China

    Institute of Scientific and Technical Information of China (English)

    JIN Yi; DONG Ling; YU Tianjiang; LI Yan; GUO Ran

    2009-01-01

    The concept and research achievements of the heterotic group and model in corn were introduced briefly. The results showed that the domestic corn germplasm could be divided into three main heterotic groups and two main heterotic models. The research on corn germplasm in Heilongjiang Province could be concluded as three main heterotic groups and three main heterotic models. Some new opinions about corn heterotic group and heterotic model in Heilongjiang Province were proposed such as Northeast group and NortheastxLancaster model.

  15. 75 FR 5808 - Publication of Model Notice for Employers to Use Regarding Eligibility for Premium Assistance...

    Science.gov (United States)

    2010-02-04

    ... Insurance Program (CHIP). The Department of Labor (Department) is required to provide the model notice to... Benefits Security Administration Publication of Model Notice for Employers to Use Regarding Eligibility for Premium Assistance Under Medicaid or the Children's Health Insurance Program, Notice AGENCY:...

  16. A model of competition between employed, short-term and long-term unemployed job searchers

    NARCIS (Netherlands)

    Broersma, Lourens

    1995-01-01

    This paper presents a model in which not only employed job search is endogenized, but also the phenomenon that long-term unemployed may becomediscouraged and stop searching for a job. When this model is applied to Dutch flow data, we find that this discouragement particularly took place in the early

  17. Diversity Competent Group Work Supervision: An Application of the Supervision of Group Work Model (SGW)

    Science.gov (United States)

    Okech, Jane E. Atieno; Rubel, Deborah

    2007-01-01

    This article emphasizes the need for concrete descriptions of supervision to promote diversity-competent group work and presents an application of the supervision of group work model (SGW) to this end. The SGW, a supervision model adapted from the discrimination model, is uniquely suited for promoting diversity competence in group work, since it…

  18. Diversity Competent Group Work Supervision: An Application of the Supervision of Group Work Model (SGW)

    Science.gov (United States)

    Okech, Jane E. Atieno; Rubel, Deborah

    2007-01-01

    This article emphasizes the need for concrete descriptions of supervision to promote diversity-competent group work and presents an application of the supervision of group work model (SGW) to this end. The SGW, a supervision model adapted from the discrimination model, is uniquely suited for promoting diversity competence in group work, since it…

  19. Modeling Group Rapports through Tourist School Activities

    OpenAIRE

    Elena Moldovan; Răzvan Sandu ENOIU; Adriana LEIBOVICI

    2012-01-01

    The objective of the research was the evaluation of the developing social climate by determining group cohesion and affective and sympathetic inter personal relationships between the components of the experimental group bent to the tourist program done by the researcher and between the ones of the witness group that has done extracurricular tourist activities after the traditional program, in its free time and during holidays.

  20. Modeling Group Rapports through Tourist School Activities

    Directory of Open Access Journals (Sweden)

    Elena Moldovan

    2012-12-01

    Full Text Available The objective of the research was the evaluation of the developing social climate by determining group cohesion and affective and sympathetic inter personal relationships between the components of the experimental group bent to the tourist program done by the researcher and between the ones of the witness group that has done extracurricular tourist activities after the traditional program, in its free time and during holidays.

  1. Holland's Vocational Models: A Study of Work Groups and Need Satisfaction

    Science.gov (United States)

    Lacey, David W.

    1971-01-01

    This study investigated: (1) the concurrent validity of Holland's theory for employed men; and (2) the pattern of needs associated with occupations exemplifying each of Holland's models. Five vocational scales distributed eight work groups, representative of each of Holland's vocational models, in a comparable fashion according to their interests.…

  2. Industry Employment

    Science.gov (United States)

    Occupational Outlook Quarterly, 2012

    2012-01-01

    This article illustrates projected employment change by industry and industry sector over 2010-20 decade. Workers are grouped into an industry according to the type of good produced or service provided by the establishment for which they work. Industry employment projections are shown in terms of numeric change (growth or decline in the total…

  3. Applying the nominal group technique in an employment relations conflict situation: A case study of a university maintenance section in South Africa

    Directory of Open Access Journals (Sweden)

    Cornelis (Kees S. van der Waal

    2009-04-01

    Full Text Available After a breakdown in employment relations in the maintenance section of a higher education institution, the authors were asked to intervene in order to try and solve the employment relations conflict situation. It was decided to employ the Nominal Group Technique (NGT as a tool in problem identification during conflict in the workplace. An initial investigation of documentation and interviews with prominent individuals in the organisation was carried out. The NGT was then used in four focus group discussions to determine the important issues as seen by staff members. The NGT facilitates the determination of shared perceptions and the ranking of ideas. The NGT was used in diverse groups, necessitating adaptations to the technique. The perceived causes of the conflict were established. The NGT can be used in a conflict situation in the workplace in order to establish the perceived causes of employment relations conflict.

  4. Establishment of Comprehensive Evaluation Model of the New Generation Migrant Workers’ Employability

    Institute of Scientific and Technical Information of China (English)

    Jianli; GAO; Tongquan; ZHANG

    2013-01-01

    Through literature research and expert interviews,we extract 10 variables influencing the new generation migrant workers’ employability,and establish the comprehensive evaluation model of the new generation migrant workers’ employability. Using factor analysis,we derive that the model includes three factors: skill literacy,relationship literacy and basic literacy. The weights of each factor are 0. 580,0. 244 and 0. 174 8,respectively. Skill literacy is affected by skill level,learning ability,career aspiration,ability to analyze problems,physical health status and other factors. Relationship literacy is affected by the sense of teamwork,interpersonal skills,social support and other factors. Basic literacy is affected by educational level,hardworking spirit and other factors. According to the results,we put forth the following recommendations to improve the new generation migrant workers’ employability: strengthening the vocational skill training; coordinating the vocational education resources.

  5. The Definition of Category of Disadvantaged Employment Groups in Universities and Solutions of Employment of the Disadvantaged Employment Groups%新形势下高校就业弱势群体的范畴界定及对策分析

    Institute of Scientific and Technical Information of China (English)

    肖华

    2013-01-01

    This paper classifies the disadvantaged employment groups in universities into disadvantaged groups in abilities , skills, personal uncontrollable variables and backgrounds and puts forward helping strategy from the point of view of individuals , u-niversities and enterprises .%通过对高校就业弱势群体进行范畴界定:能力弱势群体、技能弱势群体、个人不可变因素弱势群体及背景弱势群体,并从个体、高校和社会及企业等角度提出了帮扶对策。

  6. Video Self-Modeling: A Job Skills Intervention with Individuals with Intellectual Disability in Employment Settings

    Science.gov (United States)

    Goh, Ailsa E.; Bambara, Linda M.

    2013-01-01

    The purpose of this study was to explore the effectiveness of video self-modeling (VSM) to teach chained job tasks to individuals with intellectual disability in community-based employment settings. Initial empirical evaluations have demonstrated that VSM when used in combination with other instructional strategies, are effective methods to teach…

  7. Toward an Integrated Competence-based System Supporting Lifelong Learning and Employability: Concepts, Model, and Challenges

    NARCIS (Netherlands)

    Miao, Yongwu; Van der Klink, Marcel; Boon, Jo; Sloep, Peter; Koper, Rob

    2009-01-01

    Miao, Y., Van der Klink, M., Boon, J., Sloep, P. B., & Koper, R. (2009). Toward an Integrated Competence-based System Supporting Lifelong Learning and Employability: Concepts, Model, and Challenges. In M. Spaniol, Q. Li, R. Klamma & R. W. H. Lau (Eds.), Proceedings of the 8th International Conferenc

  8. Group Centric Information Sharing Using Hierarchical Models

    Science.gov (United States)

    2011-01-01

    Baltimore, MD, USA (June 2010 – Aug 2010). Programmer Analyst, Cognizant Technology Solutions, Chennai , India (Nov 2008 – July 2009...CollaborateCom), Crystal City , Virginia, November 11-14, 2009, pages 1-10. [3] Ravi Sandhu, Ram Krishnan, Jianwei Niu and William Winsborough, Group

  9. Group Modeling in Social Learning Environments

    Science.gov (United States)

    Stankov, Slavomir; Glavinic, Vlado; Krpan, Divna

    2012-01-01

    Students' collaboration while learning could provide better learning environments. Collaboration assumes social interactions which occur in student groups. Social theories emphasize positive influence of such interactions on learning. In order to create an appropriate learning environment that enables social interactions, it is important to…

  10. Renormalization group flow of scalar models in gravity

    Energy Technology Data Exchange (ETDEWEB)

    Guarnieri, Filippo

    2014-04-08

    In this Ph.D. thesis we study the issue of renormalizability of gravitation in the context of the renormalization group (RG), employing both perturbative and non-perturbative techniques. In particular, we focus on different gravitational models and approximations in which a central role is played by a scalar degree of freedom, since their RG flow is easier to analyze. We restrict our interest in particular to two quantum gravity approaches that have gained a lot of attention recently, namely the asymptotic safety scenario for gravity and the Horava-Lifshitz quantum gravity. In the so-called asymptotic safety conjecture the high energy regime of gravity is controlled by a non-Gaussian fixed point which ensures non-perturbative renormalizability and finiteness of the correlation functions. We then investigate the existence of such a non trivial fixed point using the functional renormalization group, a continuum version of the non-perturbative Wilson's renormalization group. In particular we quantize the sole conformal degree of freedom, which is an approximation that has been shown to lead to a qualitatively correct picture. The question of the existence of a non-Gaussian fixed point in an infinite-dimensional parameter space, that is for a generic f(R) theory, cannot however be studied using such a conformally reduced model. Hence we study it by quantizing a dynamically equivalent scalar-tensor theory, i.e. a generic Brans-Dicke theory with ω=0 in the local potential approximation. Finally, we investigate, using a perturbative RG scheme, the asymptotic freedom of the Horava-Lifshitz gravity, that is an approach based on the emergence of an anisotropy between space and time which lifts the Newton's constant to a marginal coupling and explicitly preserves unitarity. In particular we evaluate the one-loop correction in 2+1 dimensions quantizing only the conformal degree of freedom.

  11. Beyond the Standard Model: Working group report

    Indian Academy of Sciences (India)

    Gautam Bhattacharyya; Amitava Raychaudhuri

    2000-07-01

    This report summarises the work done in the ‘Beyond the Standard Model’ working group of the Sixth Workshop on High Energy Physics Phenomenology (WHEPP-6) held at the Institute of Mathematical Sciences, Chennai, Jan 3–15, 2000. The participants in this working group were: R Adhikari, B Ananthanarayan, K P S Balaji, Gour Bhattacharya, Gautam Bhattacharyya, Chao-Hsi Chang (Zhang), D Choudhury, Amitava Datta, Anindya Datta, Asesh K Datta, A Dighe, N Gaur, D Ghosh, A Goyal, K Kar, S F King, Anirban Kundu, U Mahanta, R N Mohapatra, B Mukhopadhyaya, S Pakvasa, P N Pandita, M K Parida, P Poulose, G Raffelt, G Rajasekaran, S Rakshit, Asim K Ray, A Raychaudhuri, S Raychaudhuri, D P Roy, P Roy, S Roy, K Sridhar and S Vempati.

  12. Modelling the Dynamics of the Work-Employment System by Predator-Prey Interactions

    CERN Document Server

    Serpa, Nilo

    2011-01-01

    The broad application range of the predator-prey modelling enabled us to apply it to represent the dynamics of the work-employment system. For the adopted period, we conclude that this dynamics is chaotic in the beginning of the time series and tends to less perturbed states, as time goes by, due to public policies and hidden intrinsic system features. Basic Lotka-Volterra approach was revised and adapted to the reality of the study. The final aim is to provide managers with generalized theoretical elements that allow to a more accurate understanding of the behavior of the work-employment system.

  13. Recursive renormalization group theory based subgrid modeling

    Science.gov (United States)

    Zhou, YE

    1991-01-01

    Advancing the knowledge and understanding of turbulence theory is addressed. Specific problems to be addressed will include studies of subgrid models to understand the effects of unresolved small scale dynamics on the large scale motion which, if successful, might substantially reduce the number of degrees of freedom that need to be computed in turbulence simulation.

  14. A partnership-based model for embedding employability in urban planning education

    Directory of Open Access Journals (Sweden)

    Neale Blair

    2016-01-01

    Full Text Available This paper proposes a partnership-based model for embedding employability in urban planning education. The model is based on the author’s experiences of implementing an international project which supported the development of employability skills in urban and regional planning education in Malawi. Since independence, urban planners have typically trained outside the country, attending university in the UK and other Commonwealth countries. More recently, the paradigm has shifted towards in-country education delivered by academic staff cognisant with the opportunities and challenges of development in Malawi. There remains, though, a gap between graduate knowledge of the subject and the skills necessary to pursue a professional career in the sector. Although there is no consensus yet on the meaning of employability in the literature, lessons from the project indicate that academic–public–private collaboration helps incorporate in curriculum skills that employers anticipate. Applicability of these principles is however context dependent, particularly in the emerging economy context where institutional capacity may be less developed compared to elsewhere.

  15. Group Contribution Based Process Flowsheet Synthesis, Design and Modelling

    DEFF Research Database (Denmark)

    Gani, Rafiqul; d'Anterroches, Loïc

    2004-01-01

    This paper presents a process-group-contribution Method to model. simulate and synthesize a flowsheet. The process-group based representation of a flowsheet together with a process "property" model are presented. The process-group based synthesis method is developed on the basis of the computer...

  16. A Selective Review of Group Selection in High Dimensional Models

    CERN Document Server

    Huang, Jian; Ma, Shuangge

    2012-01-01

    Grouping structures arise naturally in many statistical modeling problems. Several methods have been proposed for variable selection that respect grouping structure in variables. Examples include the group LASSO and several concave group selection methods. In this article, we give a selective review of group selection concerning methodological developments, theoretical properties, and computational algorithms. We pay particular attention to group selection methods involving concave penalties. We address both group selection and bi-level selection methods. We describe several applications of these methods in nonparametric additive models, semiparametric regression, seemingly unrelated regressions, genomic data analysis and genome wide association studies. We also highlight some issues that require further study.

  17. Employing Taylor and Heisenberg subfilter viscosities to simulate turbulent statistics in LES models

    Science.gov (United States)

    Degrazia, G. A.; Rizza, U.; Puhales, F. S.; Welter, G. S.; Acevedo, O. C.; Maldaner, S.

    2012-02-01

    A turbulent subfilter viscosity for Large Eddy Simulation (LES) based on the Taylor statistical diffusion theory is proposed. This viscosity is described in terms of a velocity variance and a time scale, both associated to the inertial subrange. This new subfilter viscosity contains a cutoff wavenumber kc, presenting an identical form (differing by a constant) to the Heisenberg subfilter viscosity. Therefore, both subfilter viscosities are described in terms of a sharp division between large and small wavenumbers of a turbulent flow and, henceforth, Taylor and Heisenberg subfilter viscosities are in agreement with the sharp Fourier filtering operation, frequently employed in LES models. Turbulent statistics of different orders, generated from atmospheric boundary layer simulations employing both Taylor and Heisenberg subfilter viscosities have been compared with observations and results provided by other simulations. The comparison shows that the LES model utilizing the approaches of Taylor and Heisenberg reproduces these turbulent statistics correctly in different vertical regions of a planetary convective boundary layer (CBL).

  18. Symmetries of preon interactions modeled as a finite group

    Science.gov (United States)

    Bellinger, James N.

    1997-07-01

    I model preon interactions as a finite group. Treating the elements of the group as the bases of a vector space, I examine those linear mappings under which the transformed bases may be treated as members of a group isomorphic to the original. In some cases these mappings are continuous Lie groups.

  19. Symmetries of preon interactions modeled as a finite group

    Energy Technology Data Exchange (ETDEWEB)

    Bellinger, J.N. [University of Wisconsin at Madison, Madison, Wisconsin 53706 (United States)

    1997-07-01

    I model preon interactions as a finite group. Treating the elements of the group as the bases of a vector space, I examine those linear mappings under which the transformed bases may be treated as members of a group isomorphic to the original. In some cases these mappings are continuous Lie groups. {copyright} {ital 1997 American Institute of Physics.}

  20. Predictive models for the assessment of occupational exposure to chemicals: A new challenge for employers

    OpenAIRE

    Jan Piotr Gromiec; Małgorzata Kupczewska-Dobecka; Agnieszka Jankowska; Sławomir Czerczak

    2013-01-01

    Employers are obliged to carry out and document the risk associated with the use of chemical substances. The best but the most expensive method is to measure workplace concentrations of chemicals. At present no "measureless" method for risk assessment is available in Poland, but predictive models for such assessments have been developed in some countries. The purpose of this work is to review and evaluate the applicability of selected predictive methods for assessing occupational inhalation e...

  1. Predictive Models to Determine Imagery Strategies Employed by Children to Judge Hand Laterality

    OpenAIRE

    Steffie Spruijt; Marijtje L A Jongsma; John van der Kamp; Bert Steenbergen

    2015-01-01

    A commonly used paradigm to study motor imagery is the hand laterality judgment task. The present study aimed to determine which strategies young children employ to successfully perform this task. Children of 5 to 8 years old (N = 92) judged laterality of back and palm view hand pictures in different rotation angles. Response accuracy and response duration were registered. Response durations of the trials with a correct judgment were fitted to a-priori defined predictive sinusoid models, repr...

  2. Modeling Employment on Regional Labor Markets(Through the Example of the Khabarovsk Territory of Russia

    Directory of Open Access Journals (Sweden)

    Irina Valerievna Zikunova

    2016-04-01

    Full Text Available The disbalance of demand and supply on the labor market acquires special sense for remote and underpopulated settled lands. The lack of perspective estimations of the regional labor markets development leads to the outflow of human capital assets from regions, and their high concentration in central regions of the country. It results in the loss of competition effects on the labor market, aggravation of the mismatch of the demand and supply for labor resources according to the types of economic activity. Ultimately, the inertia policy in the area of planning regional employment can lead to the loss of skilled personnel and loss of effects related to regional specialization. The aim of this article is to substantiate the model to predict the number of the employed in the region. Firstly, the article generalizes regional and national tendencies of the labor market development. Secondly, based on the analysis of demographic and economic characteristics of the region, the model related to predicting the employment in the region is offered. Its quality is proved by subsequent approbation on the basis of real statistic data. The article displays the perspectives of applying such models in other regional economic systems taking into account their industry specialization.

  3. Comparing Multiple-Group Multinomial Log-Linear Models for Multidimensional Skill Distributions in the General Diagnostic Model. Research Report. ETS RR-08-35

    Science.gov (United States)

    Xu, Xueli; von Davier, Matthias

    2008-01-01

    The general diagnostic model (GDM) utilizes located latent classes for modeling a multidimensional proficiency variable. In this paper, the GDM is extended by employing a log-linear model for multiple populations that assumes constraints on parameters across multiple groups. This constrained model is compared to log-linear models that assume…

  4. Sexuality and the Elderly: A Group Counseling Model.

    Science.gov (United States)

    Capuzzi, Dave; Gossman, Larry

    1982-01-01

    Describes a 10-session group counseling model to facilitate awareness of sexuality and the legitimacy of its expression for older adults. Considers member selection, session length and setting, and group leadership. (Author/MCF)

  5. The psychological contract: is the UK National Health Service a model employer?

    Science.gov (United States)

    Fielden, Sandra; Whiting, Fiona

    2007-05-01

    The UK National Health Service (NHS) is facing recruitment challenges that mean it will need to become an 'employer of choice' if it is to continue to attract high-quality employees. This paper reports the findings from a study focusing on allied health professional staff (n = 67), aimed at establishing the expectations of the NHS inherent in their current psychological contract and to consider whether the government's drive to make the NHS a model employer meets those expectations. The findings show that the most important aspects of the psychological contract were relational and based on the investment made in the employment relationship by both parties. The employment relationship was one of high involvement but also one where transactional contract items, such as pay, were still of some importance. Although the degree of employee satisfaction with the relational content of the psychological contract was relatively positive, there was, nevertheless, a mismatch between levels of importance placed on such aspects of the contract and levels of satisfaction, with employees increasingly placing greater emphasis on those items the NHS is having the greatest difficulty providing. Despite this apparent disparity between employee expectation and the fulfilment of those expectations, the overall health of the psychological contract was still high.

  6. A Case Study of Employing A Single Server Nonpreemptive Priority Queuing Model at ATM Machine

    OpenAIRE

    Abdullah Furquan; Abdullah Imran

    2015-01-01

    This paper discusses a case study of employing a single server nonpreemptivepriorityqueuing model [1]at ATM machine which originally operates on M/M/1 model. In this study we have taken two priority classes of people in following order:- .Priority class 1- woman .Priority class 2- man Sometimea long queue is formed at ATMmachine (single server)but the bank management don’t have enough money to invest on installing new ATM machine.In this situation we want to apply single ser...

  7. Multiple Group Analysis in Multilevel Structural Equation Model Across Level 1 Groups.

    Science.gov (United States)

    Ryu, Ehri

    2015-01-01

    This article introduces and evaluates a procedure for conducting multiple group analysis in multilevel structural equation model across Level 1 groups (MG1-MSEM; Ryu, 2014). When group membership is at Level 1, multiple group analysis raises two issues that cannot be solved by a simple extension of the standard multiple group analysis in single-level structural equation model. First, the Level 2 data are not independent between Level 1 groups. Second, the standard procedure fails to take into account the dependency between members of different Level 1 groups within the same cluster. The MG1-MSEM approach provides solutions to these problems. In MG1-MSEM, the Level 1 mean structure is necessary to represent the differences between Level 1 groups within clusters. The Level 2 model is the same regardless of Level 1 group membership. A simulation study examined the performance of MUML (Muthén's maximum likelihood) estimation in MG1-MSEM. The MG1-MSEM approach is illustrated for both a multilevel path model and a multilevel factor model using empirical data sets.

  8. Modelling and simulations of macroscopic multi-group pedestrian flow

    CERN Document Server

    Mahato, Naveen K; Tiwari, Sudarshan

    2016-01-01

    We consider a multi-group microscopic model for pedestrian flow describing the behaviour of large groups. It is based on an interacting particle system coupled to an eikonal equation. Hydrodynamic multi-group models are derived from the underlying particle system as well as scalar multi-group models. The eikonal equation is used to compute optimal paths for the pedestrians. Particle methods are used to solve the macroscopic equations. Numerical test cases are investigated and the models and, in particular, the resulting evacuation times are compared for a wide range of different parameters.

  9. WORK GROUP DEVELOPMENT MODELS – THE EVOLUTION FROM SIMPLE GROUP TO EFFECTIVE TEAM

    Directory of Open Access Journals (Sweden)

    Raluca ZOLTAN

    2016-02-01

    Full Text Available Currently, work teams are increasingly studied by virtue of the advantages they have compared to the work groups. But a true team does not appear overnight but must complete several steps to overcome the initial stage of its existence as a group. The question that arises is at what point a simple group is turning into an effective team. Even though the development process of group into a team is not a linear process, the models found in the literature provides a rich framework for analyzing and identifying the features which group acquires over time till it become a team in the true sense of word. Thus, in this article we propose an analysis of the main models of group development in order to point out, even in a relative manner, the stage when the simple work group becomes an effective work team.

  10. Group impressions as dynamic configurations: the tensor product model of group impression formation and change.

    Science.gov (United States)

    Kashima, Y; Woolcock, J; Kashima, E S

    2000-10-01

    Group impressions are dynamic configurations. The tensor product model (TPM), a connectionist model of memory and learning, is used to describe the process of group impression formation and change, emphasizing the structured and contextualized nature of group impressions and the dynamic evolution of group impressions over time. TPM is first shown to be consistent with algebraic models of social judgment (the weighted averaging model; N. Anderson, 1981) and exemplar-based social category learning (the context model; E. R. Smith & M. A. Zárate, 1992), providing a theoretical reduction of the algebraic models to the present connectionist framework. TPM is then shown to describe a common process that underlies both formation and change of group impressions despite the often-made assumption that they constitute different psychological processes. In particular, various time-dependent properties of both group impression formation (e.g., time variability, response dependency, and order effects in impression judgments) and change (e.g., stereotype change and group accentuation) are explained, demonstrating a hidden unity beneath the diverse array of empirical findings. Implications of the model for conceptualizing stereotype formation and change are discussed.

  11. 试论对大学生就业困难群体的指导%On the Guidance for Disadvantaged Graduate Group in Employment in Universities

    Institute of Scientific and Technical Information of China (English)

    魏玲玲; 史冬辉

    2011-01-01

    The employment situation of graduates in universities has been relatively stable, but disadvantaged group in employment still has difficult problems. The article puts forward the definition and type of the group, reasons of this phenomenon as well as countermeasures and suggestions to provide guidance and assistance for this group.%高校毕业生就业形势已较为稳定,但高校毕业生就业困难群体就业难的问题依然凸显。文章围绕高校毕业生就业困难群体的界定和类型,产生的原因以及对其提供指导和帮助的对策和建议三大方面来阐述。

  12. Intelligence and Personal Influence in Groups: Four Nonlinear Models.

    Science.gov (United States)

    Simonton, Dean Keith

    1985-01-01

    Four models are developed to provide a conceptual basis for a curvilinear relation between intelligence and an individual's influence over group members. The models deal with influence and percentile placement in intelligence, comprehension by potential followers, vulnerability to rival intellects, and correlation between mean group IQ and the…

  13. The LGBTQ Responsive Model for Supervision of Group Work

    Science.gov (United States)

    Goodrich, Kristopher M.; Luke, Melissa

    2011-01-01

    Although supervision of group work has been linked to the development of multicultural and social justice competencies, there are no models for supervision of group work specifically designed to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons. This manuscript presents the LGBTQ Responsive Model for…

  14. The LGBTQ Responsive Model for Supervision of Group Work

    Science.gov (United States)

    Goodrich, Kristopher M.; Luke, Melissa

    2011-01-01

    Although supervision of group work has been linked to the development of multicultural and social justice competencies, there are no models for supervision of group work specifically designed to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons. This manuscript presents the LGBTQ Responsive Model for…

  15. The Punctuated-Tuckman: Towards a New Group Development Model

    Science.gov (United States)

    Hurt, Andrew C.; Trombley, Sarah M.

    2007-01-01

    Two commonly accepted theories of group development are the Tuckman model (Tuckman & Jensen, 1977) and the Punctuated-Equilibrium model (Gersick, 1988). Critiques of both are that they assume linear development and that they fail to account for outside influences. In contrast, Tubbs (2004) suggests that group development should be viewed from a…

  16. Working group report: Flavor physics and model building

    Indian Academy of Sciences (India)

    M K Parida; Nita Sinha; B Adhikary; B Allanach; A Alok; K S Babu; B Brahmachari; D Choudhury; E J Chun; P K Das; A Ghosal; D Hitlin; W S Hou; S Kumar; H N Li; E Ma; S K Majee; G Majumdar; B Mishra; G Mohanty; S Nandi; H Pas; M K Parida; S D Rindani; J P Saha; N Sahu; Y Sakai; S Sen; C Sharma; C D Sharma; S Shalgar; N N Singh; S Uma Sankar; N Sinha; R Sinha; F Simonetto; R Srikanth; R Vaidya

    2006-11-01

    This is the report of flavor physics and model building working group at WHEPP-9. While activities in flavor physics have been mainly focused on -physics, those in model building have been primarily devoted to neutrino physics. We present summary of working group discussions carried out during the workshop in the above fields, and also briefly review the progress made in some projects subsequently

  17. Symptom Effects on Employment in a Structural Model of Mental Illness and Treatment: Analysis of Patients with Schizophrenia.

    Science.gov (United States)

    Slade, Eric; Salkever, David

    2001-03-01

    BACKGROUND: There is a long tradition in the health and mental health economics literatures of estimating the impacts of disorders on employment and earnings. Several analyses have associated mental illness with poorer labor market outcomes, often using indicators of disorders to measure mental illness, but it is unclear to what extent unobserved medical treatment biases the estimated impacts of disorders on labor market outcomes. In this study we argue that in order to judge the true employment costs of mental illness and the potential benefits of treatment it is necessary to account for the structural relationship between treatment, symptoms, and employment outcomes. AIMS OF THE STUDY: The study proposes a structural model for understanding mental illness impacts on employment and empirically estimates one element of this structural model that links symptoms of schizophrenia to patients' employment status. In addition, we use our empirical estimates to simulate employment consequences of more effective treatment and reductions in symptom levels. EMPIRICAL METHODS: Our empirical analyses use a sample of 1,643 adults with a schizophrenia diagnosis. We predict the likelihood of three outcomes - not employed, employed in a sheltered or supported job, and employed in a non-supported job. Analyses include measures of demographic characteristics, illness history, location differences, and detailed symptom measures. RESULTS: We find that negative symptoms have a substantial adverse impact on participation in both non-supported jobs and in sheltered or supported jobs. The impacts on employment of other symptoms of schizophrenia are not as large, but significant effects are also found for symptoms of depression. Simulations suggest, however, that only one-third of consumers would be employed in any type of job even given a large reduction in symptom levels. DISCUSSION: Negative symptoms are particularly important for role functioning and employment. The marginal effect on

  18. Investigating Facebook Groups through a Random Graph Model

    OpenAIRE

    Dinithi Pallegedara; Lei Pan

    2014-01-01

    Facebook disseminates messages for billions of users everyday. Though there are log files stored on central servers, law enforcement agencies outside of the U.S. cannot easily acquire server log files from Facebook. This work models Facebook user groups by using a random graph model. Our aim is to facilitate detectives quickly estimating the size of a Facebook group with which a suspect is involved. We estimate this group size according to the number of immediate friends and the number of ext...

  19. Dynamics of two-group conflicts: A statistical physics model

    Science.gov (United States)

    Diep, H. T.; Kaufman, Miron; Kaufman, Sanda

    2017-03-01

    We propose a "social physics" model for two-group conflict. We consider two disputing groups. Each individual i in each of the two groups has a preference si regarding the way in which the conflict should be resolved. The individual preferences span a range between + M (prone to protracted conflict) and - M (prone to settle the conflict). The noise in this system is quantified by a "social temperature". Individuals interact within their group and with individuals of the other group. A pair of individuals (i , j) within a group contributes -si ∗sj to the energy. The inter-group energy of individual i is taken to be proportional to the product between si and the mean value of the preferences from the other group's members. We consider an equivalent-neighbor Renyi-Erdos network where everyone interacts with everyone. We present some examples of conflicts that may be described with this model.

  20. Group size, grooming and fission in primates: a modeling approach based on group structure.

    Science.gov (United States)

    Sueur, Cédric; Deneubourg, Jean-Louis; Petit, Odile; Couzin, Iain D

    2011-03-21

    In social animals, fission is a common mode of group proliferation and dispersion and may be affected by genetic or other social factors. Sociality implies preserving relationships between group members. An increase in group size and/or in competition for food within the group can result in decrease certain social interactions between members, and the group may split irreversibly as a consequence. One individual may try to maintain bonds with a maximum of group members in order to keep group cohesion, i.e. proximity and stable relationships. However, this strategy needs time and time is often limited. In addition, previous studies have shown that whatever the group size, an individual interacts only with certain grooming partners. There, we develop a computational model to assess how dynamics of group cohesion are related to group size and to the structure of grooming relationships. Groups' sizes after simulated fission are compared to observed sizes of 40 groups of primates. Results showed that the relationship between grooming time and group size is dependent on how each individual attributes grooming time to its social partners, i.e. grooming a few number of preferred partners or grooming equally or not all partners. The number of partners seemed to be more important for the group cohesion than the grooming time itself. This structural constraint has important consequences on group sociality, as it gives the possibility of competition for grooming partners, attraction for high-ranking individuals as found in primates' groups. It could, however, also have implications when considering the cognitive capacities of primates.

  1. How the group affects the mind : A cognitive model of idea generation in groups

    NARCIS (Netherlands)

    Nijstad, Bernard A.; Stroebe, Wolfgang

    2006-01-01

    A model called search for ideas in associative memory (SIAM) is proposed to account for various research findings in the area of group idea generation. The model assumes that idea generation is a repeated search for ideas in associative memory, which proceeds in 2 stages (knowledge activation and id

  2. Modelling regional labour market dynamics: Participation, employment and migration decisions in a spatial CGE model for the EU

    Directory of Open Access Journals (Sweden)

    Damiaan Persyn

    2014-10-01

    Full Text Available This paper outlines how regional labour market adjustments to macroeconomic and policy shocks are modelled in RHOMOLO through participation, employment and migration decisions of workers. RHOMOLO, being a multisectoral, inter-regional general equilibrium model, is complex both in terms of its dimensionality and the modelling of spatial interactions through trade flows and factor mobility. The modelling of the labour market is therefore constrained by the tractability and computational solvability of the model. The labour market module consists of individual labour participation decisions, including the extensive margin (to participate or not and the intensive margin (hours of work. Unemployment is determined through a wage curve and inter-regional labour migration decisions are modelled in a discrete-choice framework, with backward-looking expectations.

  3. Architecture Models and Data Flows in Local and Group Datawarehouses

    Science.gov (United States)

    Bogza, R. M.; Zaharie, Dorin; Avasilcai, Silvia; Bacali, Laura

    Architecture models and possible data flows for local and group datawarehouses are presented, together with some data processing models. The architecture models consists of several layers and the data flow between them. The choosen architecture of a datawarehouse depends on the data type and volumes from the source data, and inflences the analysis, data mining and reports done upon the data from DWH.

  4. Therapeutic Enactment: Integrating Individual and Group Counseling Models for Change

    Science.gov (United States)

    Westwood, Marvin J.; Keats, Patrice A.; Wilensky, Patricia

    2003-01-01

    The purpose of this article is to introduce the reader to a group-based therapy model known as therapeutic enactment. A description of this multimodal change model is provided by outlining the relevant background information, key concepts related to specific change processes, and the differences in this model compared to earlier psychodrama…

  5. Dynamics of group knowledge production in facilitated modelling workshops

    DEFF Research Database (Denmark)

    Tavella, Elena; Franco, L. Alberto

    2015-01-01

    The term ‘facilitated modelling’ is used in the literature to characterise an approach to structuring problems, developing options and evaluating decisions by groups working in a model-supported workshop environment, and assisted by a facilitator. The approach involves an interactive process...... by which models are jointly developed with group members interacting face-to-face, with or without computer support. The models produced are used to inform negotiations about the nature of the issues faced by the group, and how to address them. While the facilitated modelling literature is impressive...... the form of three distinct group knowledge production patterns: generative, collaborative and assertive. Further, each pattern is characterised by a particular mix of communicative behaviours and model-supported interactions that has implications for the creation of new knowledge within the workshop. Our...

  6. Two Models for Semi-Supervised Terrorist Group Detection

    Science.gov (United States)

    Ozgul, Fatih; Erdem, Zeki; Bowerman, Chris

    Since discovery of organization structure of offender groups leads the investigation to terrorist cells or organized crime groups, detecting covert networks from crime data are important to crime investigation. Two models, GDM and OGDM, which are based on another representation model - OGRM are developed and tested on nine terrorist groups. GDM, which is basically depending on police arrest data and “caught together” information and OGDM, which uses a feature matching on year-wise offender components from arrest and demographics data, performed well on terrorist groups, but OGDM produced high precision with low recall values. OGDM uses a terror crime modus operandi ontology which enabled matching of similar crimes.

  7. A Multifactorial Personnel Distribution Model in the Human Resources Employment for the District Police Departments

    Directory of Open Access Journals (Sweden)

    Cihangir Baycan

    2014-09-01

    Full Text Available Human resources employment is a very essential management process for effectiveness and efficiency of organizations. Determining the optimal number of staff represents a very essential management and decision-making process to provide effective and efficient policing services. In this study, the personnel allocation of Turkish National Police (TNP to 256 districts in respect to their organizational structure, special situations, and risk factors was simulated with developed Multifactorial Personnel Distribution Model. A combination of qualitative and quantitative methods was used in this study. In Multifactorial Personnel Distribution Model, basically four elements were found to be useful for the planning. Those are; (1 minimum number of staff for units, (2 the number of staff based on population and other risk factors, (3 the number of staff based on special situation of province, and (4 benchmarking with other units that have similar characteristics.

  8. Internal Physical Features of a Land Surface Model Employing a Tangent Linear Model

    Science.gov (United States)

    Yang, Runhua; Cohn, Stephen E.; daSilva, Arlindo; Joiner, Joanna; Houser, Paul R.

    1997-01-01

    The Earth's land surface, including its biomass, is an integral part of the Earth's weather and climate system. Land surface heterogeneity, such as the type and amount of vegetative covering., has a profound effect on local weather variability and therefore on regional variations of the global climate. Surface conditions affect local weather and climate through a number of mechanisms. First, they determine the re-distribution of the net radiative energy received at the surface, through the atmosphere, from the sun. A certain fraction of this energy increases the surface ground temperature, another warms the near-surface atmosphere, and the rest evaporates surface water, which in turn creates clouds and causes precipitation. Second, they determine how much rainfall and snowmelt can be stored in the soil and how much instead runs off into waterways. Finally, surface conditions influence the near-surface concentration and distribution of greenhouse gases such as carbon dioxide. The processes through which these mechanisms interact with the atmosphere can be modeled mathematically, to within some degree of uncertainty, on the basis of underlying physical principles. Such a land surface model provides predictive capability for surface variables including ground temperature, surface humidity, and soil moisture and temperature. This information is important for agriculture and industry, as well as for addressing fundamental scientific questions concerning global and local climate change. In this study we apply a methodology known as tangent linear modeling to help us understand more deeply, the behavior of the Mosaic land surface model, a model that has been developed over the past several years at NASA/GSFC. This methodology allows us to examine, directly and quantitatively, the dependence of prediction errors in land surface variables upon different vegetation conditions. The work also highlights the importance of accurate soil moisture information. Although surface

  9. Where do inmmigrants fare worse? Modeling workplace wage gap variation with longitudinal employer-employee data.

    Science.gov (United States)

    Tomaskovic-Devey, Donald; Hällsten, Martin; Avent-Holt, Dustin

    2015-01-01

    The authors propose a strategy for observing and explaining workplace variance in categorically linked inequalities. Using Swedish economy-wide linked employer-employee panel data, the authors examine variation in workplace wage inequalities between native Swedes and non-Western immigrants. Consistent with relational inequality theory, the authors' findings are that immigrant-native wage gaps vary dramatically across workplaces, even net of strong human capital controls. The authors also find that, net of observed and fixed-effect controls for individual traits, workplace immigrant-native wage gaps decline with increased workplace immigrant employment and managerial representation and increase when job segregation rises. These results are stronger in high-inequality workplaces and for white-collar employees: contexts in which one expects status-based claims on organizational resources, the central causal mechanism identified by relational inequality theory, to be stronger. The authors conclude that workplace variation in the non-Western immigrant-native wage gaps is contingent on organizational variationin the relative power of groups and the institutional context in which that power is exercised.

  10. Assessment of training effects on employability within the institutional Spanish training model

    Directory of Open Access Journals (Sweden)

    Ramírez-del-Río, Antonio

    2011-12-01

    Full Text Available The association between quantity of training and employability was analysed through a non experimental research with two non equivalent groups. The operationalization of training quantity is considered to provide an indicator of training effort. Thus, training effort (number of courses was analysed as the independent variable and employability as dependent variable (occupation indicators, activity enhancement and job performance. The results show that training is related to activity enhancement, specially when workers belong to a small/medium enterprise (SME and/or to technical or qualified positions. A positive association between training and performance also appeared in the case of SMEs. Se analiza la asociación entre cantidad de formación y empleabilidad mediante una investigación no experimental con dos grupos no equivalentes. Se considera que la operativización de la cantidad de formación proporciona un indicador próximo al esfuerzo formativo realizado. Así, se estudió la variable independiente esfuerzo formativo (número de cursos y la dependiente, empleabilidad (indicadores de ocupación, enriquecimiento de actividad y desempeño. Los resultados muestran que la formación está asociada al enriquecimiento de la actividad, sobre todo si los trabajadores pertenecen a una PYME y/o a puestos técnicos o cualificados. También hay una asociación positiva entre formación y desempeño en PYMES.

  11. A Study of Youth Groups Employment Pressure Problem of Inner Mongolia%内蒙古自治区青年群体就业压力研究

    Institute of Scientific and Technical Information of China (English)

    盛红升

    2012-01-01

    At present, youth's employment problem has become a focus and problem of Chinese labor force market. This paper analyzes the reasons for present excessive employment pressure, finds out various factors that affected employment after a study of the present situation of Inner Mongolia youth group employment, sets up an index system that affects employment, carries out an empirical analysis of the main affected factors collected from stepwise regression. In addition, starting from the influence of three industries on employment, this paper attempts to search for solution and puts forward suggestion on how to solve this problem.%当前,青年就业问题已成为我国劳动力市场的重点和难点问题,本文分析了当前就业压力过大的成因,在研究内蒙古自治区青年群体就业的现状后,找出了影响就业的各种因素,建立了影响就业的指标体系,并运用逐步回归法从中提取主要的影响因素进行实证分析。另外从三大产业对就业的影响入手,从而寻求解决问题的突破口,提出相关的解决内蒙古青年就业的一些建议。

  12. Developments in convective heat transfer models featuring seamless and selected detail surfaces, employing electroless plating

    Science.gov (United States)

    Stalmach, C. J., Jr.

    1975-01-01

    Several model/instrument concepts employing electroless metallic skin were considered for improvement of surface condition, accuracy, and cost of contoured-geometry convective heat transfer models. A plated semi-infinite slab approach was chosen for development and evaluation in a hypersonic wind tunnel. The plated slab model consists of an epoxy casting containing fine constantan wires accurately placed at specified surface locations. An electroless alloy was deposited on the plastic surface that provides a hard, uniformly thick, seamless skin. The chosen alloy forms a high-output thermocouple junction with each exposed constantan wire, providing means of determining heat transfer during tunnel testing of the model. A selective electroless plating procedure was used to deposit scaled heatshield tiles on the lower surface of a 0.0175-scale shuttle orbiter model. Twenty-five percent of the tiles were randomly selected and plated to a height of 0.001-inch. The purpose was to assess the heating effects of surface roughness simulating misalignment of tiles that may occur during manufacture of the spacecraft.

  13. Dynamical real space renormalization group applied to sandpile models.

    Science.gov (United States)

    Ivashkevich, E V; Povolotsky, A M; Vespignani, A; Zapperi, S

    1999-08-01

    A general framework for the renormalization group analysis of self-organized critical sandpile models is formulated. The usual real space renormalization scheme for lattice models when applied to nonequilibrium dynamical models must be supplemented by feedback relations coming from the stationarity conditions. On the basis of these ideas the dynamically driven renormalization group is applied to describe the boundary and bulk critical behavior of sandpile models. A detailed description of the branching nature of sandpile avalanches is given in terms of the generating functions of the underlying branching process.

  14. Nonlinear Reynolds stress models and the renormalization group

    Science.gov (United States)

    Rubinstein, Robert; Barton, J. Michael

    1990-01-01

    The renormalization group is applied to derive a nonlinear algebraic Reynolds stress model of anisotropic turbulence in which the Reynolds stresses are quadratic functions of the mean velocity gradients. The model results from a perturbation expansion that is truncated systematically at second order with subsequent terms contributing no further information. The resulting turbulence model applied to both low and high Reynolds number flows without requiring wall functions or ad hoc modifications of the equations. All constants are derived from the renormalization group procedure; no adjustable constants arise. The model permits inequality of the Reynolds normal stresses, a necessary condition for calculating turbulence-driven secondary flows in noncircular ducts.

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

    Science.gov (United States)

    Yimyam, Susanha; Hanpa, Wasana

    2014-06-01

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

  16. Getting unemployed job seekers back to work: the development of a process model of employment counseling behavior

    NARCIS (Netherlands)

    Noordzij, G.; van Hooft, E.A.J.; van Mierlo, H.; van Dam, A.; Born, M.Ph.

    2013-01-01

    The aim of this study was to propose a tentative model of employment counseling based on 31 critical incident interviews with supervisors, employment counselors, and unemployed job seekers. The incidents (N= 599) mentioned in the interviews were inductively used to develop a category framework

  17. Abacus models for parabolic quotients of affine Weyl groups

    CERN Document Server

    Hanusa, Christopher R H

    2011-01-01

    We introduce abacus diagrams that describe minimal length coset representatives in affine Weyl groups of types B, C, and D. These abacus diagrams use a realization of the affine Weyl group of type C due to Eriksson to generalize a construction of James for the symmetric group. We also describe several combinatorial models for these parabolic quotients that generalize classical results in affine type A related to core partitions.

  18. Beyond standard model report of working group II

    CERN Document Server

    Joshipura, A S; Joshipura, Anjan S; Roy, Probir

    1995-01-01

    Working group II at WHEPP3 concentrated on issues related to the supersymmetric standard model as well as SUSY GUTS and neutrino properties. The projects identified by various working groups as well as progress made in them since WHEPP3 are briefly reviewed.

  19. Re-engineering pre-employment check-up systems: a model for improving health services.

    Science.gov (United States)

    Rateb, Said Abdel Hakim; El Nouman, Azza Abdel Razek; Rateb, Moshira Abdel Hakim; Asar, Mohamed Naguib; El Amin, Ayman Mohammed; Gad, Saad abdel Aziz; Mohamed, Mohamed Salah Eldin

    2011-01-01

    The purpose of this paper is to develop a model for improving health services provided by the pre-employment medical fitness check-up system affiliated to Egypt's Health Insurance Organization (HIO). Operations research, notably system re-engineering, is used in six randomly selected centers and findings before and after re-engineering are compared. The re-engineering model follows a systems approach, focusing on three areas: structure, process and outcome. The model is based on six main components: electronic booking, standardized check-up processes, protected medical documents, advanced archiving through an electronic content management (ECM) system, infrastructure development, and capacity building. The model originates mainly from customer needs and expectations. The centers' monthly customer flow increased significantly after re-engineering. The mean time spent per customer cycle improved after re-engineering--18.3 +/- 5.5 minutes as compared to 48.8 +/- 14.5 minutes before. Appointment delay was also significantly decreased from an average 18 to 6.2 days. Both beneficiaries and service providers were significantly more satisfied with the services after re-engineering. The model proves that re-engineering program costs are exceeded by increased revenue. Re-engineering in this study involved multiple structure and process elements. The literature review did not reveal similar re-engineering healthcare packages. Therefore, each element was compared separately. This model is highly recommended for improving service effectiveness and efficiency. This research is the first in Egypt to apply the re-engineering approach to public health systems. Developing user-friendly models for service improvement is an added value.

  20. [Predictive models for the assessment of occupational exposure to chemicals: a new challenge for employers].

    Science.gov (United States)

    Gromiec, Jan Piotr; Kupczewska-Dobecka, Małgorzata; Jankowska, Agnieszka; Czerczak, Sławomir

    2013-01-01

    Employers are obliged to carry out and document the risk associated with the use of chemical substances. The best but the most expensive method is to measure workplace concentrations of chemicals. At present no "measureless" method for risk assessment is available in Poland, but predictive models for such assessments have been developed in some countries. The purpose of this work is to review and evaluate the applicability of selected predictive methods for assessing occupational inhalation exposure and related risk to check the compliance with Occupational Exposure Limits (OELs), as well as the compliance with REACH obligations. Based on the literature data HSE COSHH Essentials, EASE, ECETOC TRA, Stoffenmanager, and EMKG-Expo-Tool were evaluated. The data on validation of predictive models were also examined. It seems that predictive models may be used as a useful method for Tier 1 assessment of occupational exposure by inhalation. Since the levels of exposure are frequently overestimated, they should be considered as "rational worst cases" for selection of proper control measures. Bearing in mind that the number of available exposure scenarios and PROC categories is limited, further validation by field surveys is highly recommended. Predictive models may serve as a good tool for preliminary risk assessment and selection of the most appropriate risk control measures in Polish small and medium size enterprises (SMEs) providing that they are available in the Polish language. This also requires an extensive training of their future users.

  1. Predictive models for the assessment of occupational exposure to chemicals: A new challenge for employers

    Directory of Open Access Journals (Sweden)

    Jan Piotr Gromiec

    2013-10-01

    Full Text Available Employers are obliged to carry out and document the risk associated with the use of chemical substances. The best but the most expensive method is to measure workplace concentrations of chemicals. At present no "measureless" method for risk assessment is available in Poland, but predictive models for such assessments have been developed in some countries. The purpose of this work is to review and evaluate the applicability of selected predictive methods for assessing occupational inhalation exposure and related risk to check the compliance with Occupational Exposure Limits (OELs, as well as the compliance with REACH obligations. Based on the literature data HSE COSHH Essentials, EASE, ECETOC TRA, Stoffenmanager, and EMKG-Expo-Tool were evaluated. The data on validation of predictive models were also examined. It seems that predictive models may be used as a useful method for Tier 1 assessment of occupational exposure by inhalation. Since the levels of exposure are frequently overestimated, they should be considered as "rational worst cases" for selection of proper control measures. Bearing in mind that the number of available exposure scenarios and PROC categories is limited, further validation by field surveys is highly recommended. Predictive models may serve as a good tool for preliminary risk assessment and selection of the most appropriate risk control measures in Polish small and medium size enterprises (SMEs providing that they are available in the Polish language. This also requires an extensive training of their future users. Med Pr 2013;64(5:699–716

  2. Influence of aquifer heterogeneity on karst hydraulics and catchment delineation employing distributive modeling approaches

    Directory of Open Access Journals (Sweden)

    S. Oehlmann

    2013-07-01

    Full Text Available Due to their heterogeneous nature, karst aquifers pose a major challenge for hydrogeological investigations. Important procedures like the delineation of catchment areas for springs are hindered by the unknown locations and hydraulic properties of highly conductive karstic zones. In this work numerical modeling was employed as a tool in delineating catchment areas of several springs within a karst area in southwestern Germany. For this purpose, different distributive modeling approaches were implemented in the Finite Element simulation software Comsol Multiphysics®. The investigation focuses on the question to which degree the effect of karstification has to be taken into account for accurately simulating the hydraulic head distribution and the observed spring discharges. The results reveal that the representation of heterogeneities has a large influence on the delineation of the catchment areas. Not only the location of highly conductive elements but also their geometries play a major role for the resulting hydraulic head distribution and thus for catchment area delineation. The size distribution of the karst conduits derived from the numerical models agrees with knowledge from karst genesis. It was thus shown that numerical modeling is a useful tool for catchment delineation in karst aquifers based on results from different field observations.

  3. A background error covariance model of significant wave height employing Monte Carlo simulation

    Institute of Scientific and Technical Information of China (English)

    GUO Yanyou; HOU Yijun; ZHANG Chunmei; YANG Jie

    2012-01-01

    The quality of background error statistics is one of the key components for successful assimilation of observations in a numerical model.The background error covariance(BEC)of ocean waves is generally estimated under an assumption that it is stationary over a period of time and uniform over a domain.However,error statistics are in fact functions of the physical processes governing the meteorological situation and vary with the wave condition.In this paper,we simulated the BEC of the significant wave height(SWH)employing Monte Carlo methods.An interesting result is that the BEC varies consistently with the mean wave direction(MWD).In the model domain,the BEC of the SWH decreases significantly when the MWD changes abruptly.A new BEC model of the SWH based on the correlation between the BEC and MWD was then developed.A case study of regional data assimilation was performed,where the SWH observations of buoy 22001 were used to assess the SWH hindcast.The results show that the new BEC model benefits wave prediction and allows reasonable approximations of anisotropy and inhomogeneous errors.

  4. A Case Study of Employing A Single Server Nonpreemptive Priority Queuing Model at ATM Machine

    Directory of Open Access Journals (Sweden)

    Abdullah Furquan

    2015-08-01

    Full Text Available This paper discusses a case study of employing a single server nonpreemptivepriorityqueuing model [1]at ATM machine which originally operates on M/M/1 model. In this study we have taken two priority classes of people in following order:- .Priority class 1- woman .Priority class 2- man Sometimea long queue is formed at ATMmachine (single serverbut the bank management don’t have enough money to invest on installing new ATM machine.In this situation we want to apply single server nonpreemptive priority queuing model.The security guard at the ATM will divide the customers in two category and arrange the customers in the above said priority order Thuspriority class 1 people willreceive theatm service ahead of priority class 2 people.This will reduce the waiting time of priority class 1 people. Of course by doing this the waiting time of priority class 2will increase. This is ok as long as the increment in waiting time of priority class2 people is reasonable and within the tolerable limitof priority class 2people.This will be true when percentage of priority class 1 people is relatively less as compared to priority class 2 people To know the attitude and tolerable limit of priority class 2 people towards the single server non preemtive priority model a sample survey has been done on the incomingpriority class 2 population at the atm machine.Against this background, the queuing process is employed with emphasis to Poisson distribution to assess the waiting time. The data for this study was collected from primary source and is limited to ATM service point of state bank of India located at Ramesh chowk, Aurangabad, bihar, India.. The assistance of three colleague was sought in collecting the data. The Interarrival time and service time data was collected during busy working hours (i.e. 10.30am to 4:00pm during the first 60 days. A sample survey was done to know the attitude and tolerable limit of priority class 2people towards the single server

  5. Automorphisms and Generalized Involution Models of Finite Complex Reflection Groups

    CERN Document Server

    Marberg, Eric

    2010-01-01

    We prove that a finite complex reflection group has a generalized involution model, as defined by Bump and Ginzburg, if and only if each of its irreducible factors is either $G(r,p,n)$ with $\\gcd(p,n)=1$; $G(r,p,2)$ with $r/p$ odd; or $G_{23}$, the Coxeter group of type $H_3$. We additionally provide explicit formulas for all automorphisms of $G(r,p,n)$, and construct new Gelfand models for the groups $G(r,p,n)$ with $\\gcd(p,n)=1$.

  6. Deciphering the Crowd: Modeling and Identification of Pedestrian Group Motion

    Directory of Open Access Journals (Sweden)

    Norihiro Hagita

    2013-01-01

    Full Text Available Associating attributes to pedestrians in a crowd is relevant for various areas like surveillance, customer profiling and service providing. The attributes of interest greatly depend on the application domain and might involve such social relations as friends or family as well as the hierarchy of the group including the leader or subordinates. Nevertheless, the complex social setting inherently complicates this task. We attack this problem by exploiting the small group structures in the crowd. The relations among individuals and their peers within a social group are reliable indicators of social attributes. To that end, this paper identifies social groups based on explicit motion models integrated through a hypothesis testing scheme. We develop two models relating positional and directional relations. A pair of pedestrians is identified as belonging to the same group or not by utilizing the two models in parallel, which defines a compound hypothesis testing scheme. By testing the proposed approach on three datasets with different environmental properties and group characteristics, it is demonstrated that we achieve an identification accuracy of 87% to 99%. The contribution of this study lies in its definition of positional and directional relation models, its description of compound evaluations, and the resolution of ambiguities with our proposed uncertainty measure based on the local and global indicators of group relation.

  7. Investigating the LGBTQ Responsive Model for Supervision of Group Work

    Science.gov (United States)

    Luke, Melissa; Goodrich, Kristopher M.

    2013-01-01

    This article reports an investigation of the LGBTQ Responsive Model for Supervision of Group Work, a trans-theoretical supervisory framework to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons (Goodrich & Luke, 2011). Findings partially supported applicability of the LGBTQ Responsive Model for Supervision…

  8. Investigating the LGBTQ Responsive Model for Supervision of Group Work

    Science.gov (United States)

    Luke, Melissa; Goodrich, Kristopher M.

    2013-01-01

    This article reports an investigation of the LGBTQ Responsive Model for Supervision of Group Work, a trans-theoretical supervisory framework to address the needs of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) persons (Goodrich & Luke, 2011). Findings partially supported applicability of the LGBTQ Responsive Model for Supervision…

  9. Explaining Cooperation in Groups: Testing Models of Reciprocity and Learning

    Science.gov (United States)

    Biele, Guido; Rieskamp, Jorg; Czienskowski, Uwe

    2008-01-01

    What are the cognitive processes underlying cooperation in groups? This question is addressed by examining how well a reciprocity model, two learning models, and social value orientation can predict cooperation in two iterated n-person social dilemmas with continuous contributions. In the first of these dilemmas, the public goods game,…

  10. A Creative Therapies Model for the Group Supervision of Counsellors.

    Science.gov (United States)

    Wilkins, Paul

    1995-01-01

    Sets forth a model of group supervision, drawing on a creative therapies approach which provides an effective way of delivering process issues, conceptualization issues, and personalization issues. The model makes particular use of techniques drawn from art therapy and from psychodrama, and should be applicable to therapists of many orientations.…

  11. Functional renormalization group approach to the Kraichnan model.

    Science.gov (United States)

    Pagani, Carlo

    2015-09-01

    We study the anomalous scaling of the structure functions of a scalar field advected by a random Gaussian velocity field, the Kraichnan model, by means of functional renormalization group techniques. We analyze the symmetries of the model and derive the leading correction to the structure functions considering the renormalization of composite operators and applying the operator product expansion.

  12. ALTRUISM, EGOISM AND GROUP COHESION IN A LOCAL INTERACTION MODEL

    OpenAIRE

    José A. García Martínez

    2004-01-01

    In this paper we have introduced and parameterized the concept of ?group cohesion? in a model of local interaction with a population divided into groups. This allows us to control the level of ?isolation? of these groups: We thus analyze if the degree of group cohesion is relevant to achieve an efficient behaviour and which level would be the best one for this purpose. We are interested in situations where there is a trade off between efficiency and individual incentives. This trade off is st...

  13. Group Lasso for high dimensional sparse quantile regression models

    CERN Document Server

    Kato, Kengo

    2011-01-01

    This paper studies the statistical properties of the group Lasso estimator for high dimensional sparse quantile regression models where the number of explanatory variables (or the number of groups of explanatory variables) is possibly much larger than the sample size while the number of variables in "active" groups is sufficiently small. We establish a non-asymptotic bound on the $\\ell_{2}$-estimation error of the estimator. This bound explains situations under which the group Lasso estimator is potentially superior/inferior to the $\\ell_{1}$-penalized quantile regression estimator in terms of the estimation error. We also propose a data-dependent choice of the tuning parameter to make the method more practical, by extending the original proposal of Belloni and Chernozhukov (2011) for the $\\ell_{1}$-penalized quantile regression estimator. As an application, we analyze high dimensional additive quantile regression models. We show that under a set of primitive regularity conditions, the group Lasso estimator c...

  14. Employing satellite retrieved soil moisture for parameter estimation of the hydrologic model mHM

    Science.gov (United States)

    Zink, Matthias; Mai, Juliane; Rakovec, Oldrich; Schrön, Martin; Kumar, Rohini; Schäfer, David; Samaniego, Luis

    2016-04-01

    function is based on the parameter distance (3). Thus, the temporal correlation and the sum of squared distances from soil moisture anomalies of reference and estimated soil moisture revealed best performances. Employing satellite retrieved SM for calibrating the hydrological model leads to model parameters which are able to catch soil moisture dynamics but deteriorates the skill on streamflow prediction. Discharge estimates are ranging between 0.1-0.3 Nash-Sutcliffe Efficiency, whereas the coefficient of correlation between modeled and satellite retrieved soil moisture exceeds 0.7.

  15. Fuzzy clustering: critical analysis of the contextual mechanisms employed by three neural network models

    Science.gov (United States)

    Baraldi, Andrea; Parmiggiani, Flavio

    1996-06-01

    According to the following definition, taken from the literature, a fuzzy clustering mechanism allows the same input pattern to belong to multiple categories to different degrees. Many clustering neural network (NN) models claim to feature fuzzy properties, but several of them (like the Fuzzy ART model) do not satisfy this definition. Vice versa, we believe that Kohonen's Self-Organizing Map, SOM, satisfies the definition provided above, even though this NN model is well-known to (robustly) perform topologically ordered mapping rather than fuzzy clustering. This may sound as a paradox if we consider that several fuzzy NN models (such as the Fuzzy Learning Vector Quantization, FLVQ, which was first called Fuzzy Kohonen Clustering Network, FKCN) were originally developed to enhance Kohonen's models (such as SOM and the vector quantization model, VQ). The fuzziness of SOM indicates that a network of processing elements (PEs) can verify the fuzzy clustering definition when it exploits local rules which are biologically plausible (such as the Kohonen bubble strategy). This is equivalent to state that the exploitation of the fuzzy set theory in the development of complex systems (e.g., clustering NNs) may provide new mathematical tools (e.g., the definition of membership function) to simulate the behavior of those cooperative/competitive mechanisms already identified by neurophysiological studies. When a biologically plausible cooperative/competitive strategy is pursued effectively, neighboring PEs become mutually coupled to gain sensitivity to contextual effects. PEs which are mutually coupled are affected by vertical (inter-layer) as well as horizontal (intra-layer) connections. To summarize, we suggest to relate the study of fuzzy clustering mechanisms to the multi-disciplinary science of complex systems, with special regard to the investigation of the cooperative/competitive local rules employed by complex systems to gain sensitivity to contextual effects in

  16. SPARC Groups: A Model for Incorporating Spiritual Psychoeducation into Group Work

    Science.gov (United States)

    Christmas, Christopher; Van Horn, Stacy M.

    2012-01-01

    The use of spirituality as a resource for clients within the counseling field is growing; however, the primary focus has been on individual therapy. The purpose of this article is to provide counseling practitioners, administrators, and researchers with an approach for incorporating spiritual psychoeducation into group work. The proposed model can…

  17. Exporting the Buyers Health Care Action Group purchasing model: lessons from other communities.

    Science.gov (United States)

    Christianson, Jon B; Feldman, Roger

    2005-01-01

    When first implemented in Minneapolis and St. Paul, Minnesota, the Buyers Health Care Action Group's (BHCAG) purchasing approach received considerable attention as an employer-managed, consumer-driven health care model embodying many of the principles of managed competition. First BHCAG and, later, a for-profit management company attempted to export this model to other communities. Their efforts were met with resistance from local hospitals and, in many cases, apathy by employers who were expected to be supportive. This experience underscores several difficulties that appear to be inherent in implementing purchasing models based on competing care systems. It also, once again, suggests caution in drawing lessons from community-level experiments in purchasing health care.

  18. A model of interaction between anticorruption authority and corruption groups

    Energy Technology Data Exchange (ETDEWEB)

    Neverova, Elena G.; Malafeyef, Oleg A. [Saint-Petersburg State University, Saint-Petersburg, Russia, 35, Universitetskii prospekt, Petrodvorets, 198504 Email:elenaneverowa@gmail.com, malafeyevoa@mail.ru (Russian Federation)

    2015-03-10

    The paper provides a model of interaction between anticorruption unit and corruption groups. The main policy functions of the anticorruption unit involve reducing corrupt practices in some entities through an optimal approach to resource allocation and effective anticorruption policy. We develop a model based on Markov decision-making process and use Howard’s policy-improvement algorithm for solving an optimal decision strategy. We examine the assumption that corruption groups retaliate against the anticorruption authority to protect themselves. This model was implemented through stochastic game.

  19. Renormalization-group calculation of excitation properties for impurity models

    Science.gov (United States)

    Yoshida, M.; Whitaker, M. A.; Oliveira, L. N.

    1990-05-01

    The renormalization-group method developed by Wilson to calculate thermodynamical properties of dilute magnetic alloys is generalized to allow the calculation of dynamical properties of many-body impurity Hamiltonians. As a simple illustration, the impurity spectral density for the resonant-level model (i.e., the U=0 Anderson model) is computed. As a second illustration, for the same model, the longitudinal relaxation rate for a nuclear spin coupled to the impurity is calculated as a function of temperature.

  20. Bayesian model reduction and empirical Bayes for group (DCM) studies.

    Science.gov (United States)

    Friston, Karl J; Litvak, Vladimir; Oswal, Ashwini; Razi, Adeel; Stephan, Klaas E; van Wijk, Bernadette C M; Ziegler, Gabriel; Zeidman, Peter

    2016-03-01

    This technical note describes some Bayesian procedures for the analysis of group studies that use nonlinear models at the first (within-subject) level - e.g., dynamic causal models - and linear models at subsequent (between-subject) levels. Its focus is on using Bayesian model reduction to finesse the inversion of multiple models of a single dataset or a single (hierarchical or empirical Bayes) model of multiple datasets. These applications of Bayesian model reduction allow one to consider parametric random effects and make inferences about group effects very efficiently (in a few seconds). We provide the relatively straightforward theoretical background to these procedures and illustrate their application using a worked example. This example uses a simulated mismatch negativity study of schizophrenia. We illustrate the robustness of Bayesian model reduction to violations of the (commonly used) Laplace assumption in dynamic causal modelling and show how its recursive application can facilitate both classical and Bayesian inference about group differences. Finally, we consider the application of these empirical Bayesian procedures to classification and prediction.

  1. Solitonic Models Based on Quantum Groups and the Standard Model

    CERN Document Server

    Finkelstein, Robert J

    2010-01-01

    The idea that the elementary particles might have the symmetry of knots has had a long history. In any current formulation of this idea, however, the knot must be quantized. The present review is a summary of a small set of papers that began as an attempt to correlate the properties of quantized knots with the empirical properties of the elementary particles. As the ideas behind these papers have developed over a number of years the model has evolved, and this review is intended to present the model in its current form. The original picture of an elementary fermion as a solitonic knot of field, described by the trefoil representation of SUq(2), has expanded into its current form in which a knotted field is complementary to a composite structure composed of three or more preons that in turn are described by the fundamental representation of SLq(2). These complementary descriptions may be interpreted as describing single composite particles composed of three or more preons bound by a knotted field.

  2. New Pathways between Group Theory and Model Theory

    CERN Document Server

    Fuchs, László; Goldsmith, Brendan; Strüngmann, Lutz

    2017-01-01

    This volume focuses on group theory and model theory with a particular emphasis on the interplay of the two areas. The survey papers provide an overview of the developments across group, module, and model theory while the research papers present the most recent study in those same areas. With introductory sections that make the topics easily accessible to students, the papers in this volume will appeal to beginning graduate students and experienced researchers alike. As a whole, this book offers a cross-section view of the areas in group, module, and model theory, covering topics such as DP-minimal groups, Abelian groups, countable 1-transitive trees, and module approximations. The papers in this book are the proceedings of the conference “New Pathways between Group Theory and Model Theory,” which took place February 1-4, 2016, in Mülheim an der Ruhr, Germany, in honor of the editors’ colleague Rüdiger Göbel. This publication is dedicated to Professor Göbel, who passed away in 2014. He was one of th...

  3. Fuzzy classification of phantom parent groups in an animal model

    Directory of Open Access Journals (Sweden)

    Fikse Freddy

    2009-09-01

    Full Text Available Abstract Background Genetic evaluation models often include genetic groups to account for unequal genetic level of animals with unknown parentage. The definition of phantom parent groups usually includes a time component (e.g. years. Combining several time periods to ensure sufficiently large groups may create problems since all phantom parents in a group are considered contemporaries. Methods To avoid the downside of such distinct classification, a fuzzy logic approach is suggested. A phantom parent can be assigned to several genetic groups, with proportions between zero and one that sum to one. Rules were presented for assigning coefficients to the inverse of the relationship matrix for fuzzy-classified genetic groups. This approach was illustrated with simulated data from ten generations of mass selection. Observations and pedigree records were randomly deleted. Phantom parent groups were defined on the basis of gender and generation number. In one scenario, uncertainty about generation of birth was simulated for some animals with unknown parents. In the distinct classification, one of the two possible generations of birth was randomly chosen to assign phantom parents to genetic groups for animals with simulated uncertainty, whereas the phantom parents were assigned to both possible genetic groups in the fuzzy classification. Results The empirical prediction error variance (PEV was somewhat lower for fuzzy-classified genetic groups. The ranking of animals with unknown parents was more correct and less variable across replicates in comparison with distinct genetic groups. In another scenario, each phantom parent was assigned to three groups, one pertaining to its gender, and two pertaining to the first and last generation, with proportion depending on the (true generation of birth. Due to the lower number of groups, the empirical PEV of breeding values was smaller when genetic groups were fuzzy-classified. Conclusion Fuzzy

  4. Structural equation models of memory performance across noise conditions and age groups.

    Science.gov (United States)

    Enmarker, Ingela; Boman, Eva; Hygge, Staffan

    2006-12-01

    Competing models of declarative memory were tested with structural equation models to analyze whether a second-order latent variable structure for episodic and semantic memory was invariant across age groups and across noise exposure conditions. Data were taken from three previous experimental noise studies that were performed with the same design, procedure, and dependent measures, and with participants from four age groups (13-14, 18-20, 35-45, and 55-65 years). Two noise conditions, road traffic noise and meaningful irrelevant speech, were compared to a quiet control group. The structural models put to the test were taken from Nyberg et al. (2003), which employed several memory tests that were the same as ours and studied age-groups that partly overlapped with our groups. In addition we also varied noise exposure conditions. Our analyses replicated and supported the second-order semantic-episodic memory models in Nyberg et al. (2003). The latent variable structures were invariant across age groups, with the exception of our youngest group, which by itself showed a less clear latent structure. The obtained structures were also invariant across noise exposure conditions. We also noted that our text memory items, which did not have a counterpart in the study by Nyberg et al. (2003), tend to form a separate latent variable loading on episodic memory.

  5. Group Offending in Mass Atrocities: Proposing a Group Violence Strategies Model for International Crimes

    Directory of Open Access Journals (Sweden)

    Regina Elisabeth Rauxloh

    2016-12-01

    Full Text Available Most research in mass atrocities, especially genocide, is conducted at the macro level exploring how mass violence is instigated, planned and orchestrated at the level of the state. This paper on the other hand suggests that more research of the individual perpetrator is needed to complement the understanding of mass atrocities. The author develops therefore a new model, the group violence strategies model. This model combines various traditional criminological models of group offending and proposes a three stage analysis, looking at the individual aggressor, the actions within the offender group and the actions between offender group and victim group to understand better the phenomenon that ordinary people commit unspeakable crimes. La mayor parte de las investigaciones sobre atrocidades en masa, especialmente genocidio, se desarrollan a nivel macro, analizando cómo se instiga, planea y orquestra la violencia de masas a nivel de estado. Este artículo, sin embargo, sugiere que es necesaria una mayor investigación del criminal individual, para complementar la comprensión de las atrocidades en masa. Así, se desarrolla un nuevo modelo, el modelo de estrategias de violencia en grupo. Este modelo combina diversos modelos criminológicos tradicionales de violencia en grupo y propone tres etapas de análisis, mirando al agresor individual, las acciones dentro del grupo criminal y las acciones entre el grupo criminal y el grupo de víctimas, para entender mejor este fenómeno por el que personas corrientes cometen crímenes atroces. DOWNLOAD THIS PAPER FROM SSRN: https://ssrn.com/abstract=2875712

  6. Group Elevator Peak Scheduling Based on Robust Optimization Model

    Directory of Open Access Journals (Sweden)

    ZHANG, J.

    2013-08-01

    Full Text Available Scheduling of Elevator Group Control System (EGCS is a typical combinatorial optimization problem. Uncertain group scheduling under peak traffic flows has become a research focus and difficulty recently. RO (Robust Optimization method is a novel and effective way to deal with uncertain scheduling problem. In this paper, a peak scheduling method based on RO model for multi-elevator system is proposed. The method is immune to the uncertainty of peak traffic flows, optimal scheduling is realized without getting exact numbers of each calling floor's waiting passengers. Specifically, energy-saving oriented multi-objective scheduling price is proposed, RO uncertain peak scheduling model is built to minimize the price. Because RO uncertain model could not be solved directly, RO uncertain model is transformed to RO certain model by elevator scheduling robust counterparts. Because solution space of elevator scheduling is enormous, to solve RO certain model in short time, ant colony solving algorithm for elevator scheduling is proposed. Based on the algorithm, optimal scheduling solutions are found quickly, and group elevators are scheduled according to the solutions. Simulation results show the method could improve scheduling performances effectively in peak pattern. Group elevators' efficient operation is realized by the RO scheduling method.

  7. Extended Group Contribution Model for Polyfunctional Phase Equilibria

    DEFF Research Database (Denmark)

    Abildskov, Jens

    -liquid equilibria from data on binary mixtures, composed of structurally simple molecules with a single functional group. More complex is the situation with mixtures composed of structurally more complicated molecules or molecules with more than one functional group. The UNIFAC method is extended to handle...... polyfunctional group situations, based on additional information on molecular structure. The extension involves the addition of second-order correction terms to the existing equation. In this way the current first-order formulation is retained. The second-order concept is developed for mixture properties based....... In chapter 4 parameters are estimated for the first-order UNIFAC model, based on which parameters are estimated for one of the second-order models described in chapter 3. The parameter estimation is based on measured binary data on around 4000 systems, covering 11 C-, H- and O-containing functional groups...

  8. A New Method for Grey Forecasting Model Group

    Institute of Scientific and Technical Information of China (English)

    李峰; 王仲东; 宋中民

    2002-01-01

    In order to describe the characteristics of some systems, such as the process of economic and product forecasting, a lot of discrete data may be used. Although they are discrete, the inside law can be-founded by some methods. For a series that the discrete degree is large and the integrated tendency is ascending, a new method for grey forecasting model group is given by the grey system theory. The method is that it firstly transforms original data, chooses some clique values and divides original data into groups by different clique values; then, it establishes non-equigap GM(1, 1) model for different groups and searches forecasting area of original data by the solution of model. At the end of the paper, the result of reliability of forecasting value is obtained. It is shown that the method is feasible.

  9. Discrete time duration models with group-level heterogeneity

    DEFF Research Database (Denmark)

    Frederiksen, Anders; Honoré, Bo; Hu, Loujia

    2007-01-01

    Dynamic discrete choice panel data models have received a great deal of attention. In those models, the dynamics is usually handled by including the lagged outcome as an explanatory variable. In this paper we consider an alternative model in which the dynamics is handled by using the duration...... in the current state as a covariate. We propose estimators that allow for group-specific effect in parametric and semiparametric versions of the model. The proposed method is illustrated by an empirical analysis of job durations allowing for firm-level effects....

  10. Tensor renormalization group analysis of CP(N-1) model

    CERN Document Server

    Kawauchi, Hikaru

    2016-01-01

    We apply the higher order tensor renormalization group to lattice CP($N-1$) model in two dimensions. A tensor network representation of the CP($N-1$) model in the presence of the $\\theta$-term is derived. We confirm that the numerical results of the CP(1) model without the $\\theta$-term using this method are consistent with that of the O(3) model which is analyzed by the same method in the region $\\beta \\gg 1$ and that obtained by Monte Carlo simulation in a wider range of $\\beta$. The numerical computation including the $\\theta$-term is left for future challenges.

  11. Tensor renormalization group analysis of CP (N -1 ) model

    Science.gov (United States)

    Kawauchi, Hikaru; Takeda, Shinji

    2016-06-01

    We apply the higher-order tensor renormalization group to the lattice CP (N -1 ) model in two dimensions. A tensor network representation of the CP (N -1 ) model in the presence of the θ term is derived. We confirm that the numerical results of the CP(1) model without the θ term using this method are consistent with that of the O(3) model which is analyzed by the same method in the region β ≫1 and that obtained by the Monte Carlo simulation in a wider range of β . The numerical computation including the θ term is left for future challenges.

  12. LDA-Based Unified Topic Modeling for Similar TV User Grouping and TV Program Recommendation.

    Science.gov (United States)

    Pyo, Shinjee; Kim, Eunhui; Kim, Munchurl

    2015-08-01

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

  13. Appreciative Socialization Group. A Model of Personal Development

    Directory of Open Access Journals (Sweden)

    Simona PONEA

    2010-12-01

    Full Text Available In this article we want to present o new of form of group, which we consider as being important for the process of personal development. Groups are a form of gathering more people united by a common purpose. We believe that through their group, members can develop new skills and also can obtain the change in the direction they want. Socialization is the processthat we “share” along with others, by communicating and also by having close views towards different things in life. Appreciative socialization involves placing emphasis on those elements that have value to us, which are positive. We consider appreciative group socialization as a model of good practice that aims the development among group members and increasesempowerment process.

  14. St. Louis Model for Macroeconomic Policy Determination in Relation to Employment Generation in a Developing Economy: Some Simulation Results

    Directory of Open Access Journals (Sweden)

    David Umoru

    2017-09-01

    Full Text Available This study uses St. Louis model to econometrically answer the question of whether the Keynesian policy or the Monetarist’s policy was more efficacious on employment generation in Nigerian with quarterly data for sample period of 1992 to 2016. The empirical finding is that cumulative effects of Keynesian of increasing aggregate government spending on the growth rate of employment in Nigeria is dominant in contrast to Monetarist’s policy. The policy simulation results reported negative dynamic multiplier of -0.01 of monetary policy on employment; fiscal policy gave a dynamic employment multiplier of 0.12 respectively. The study thus bears out fiscal policy as more effectual in inducing employment in Nigeria by imposing positive feedbacks. The study remarks on feasible implementation of empirical finding.

  15. Binary choices in small and large groups: A unified model

    Science.gov (United States)

    Bischi, Gian-Italo; Merlone, Ugo

    2010-02-01

    Two different ways to model the diffusion of alternative choices within a population of individuals in the presence of social externalities are known in the literature. While Galam’s model of rumors spreading considers a majority rule for interactions in several groups, Schelling considers individuals interacting in one large group, with payoff functions that describe how collective choices influence individual preferences. We incorporate these two approaches into a unified general discrete-time dynamic model for studying individual interactions in variously sized groups. We first illustrate how the two original models can be obtained as particular cases of the more general model we propose, then we show how several other situations can be analyzed. The model we propose goes beyond a theoretical exercise as it allows modeling situations which are relevant in economic and social systems. We consider also other aspects such as the propensity to switch choices and the behavioral momentum, and show how they may affect the dynamics of the whole population.

  16. Diffraction and reflection of irregular waves in a harbor employing a spectral model

    Directory of Open Access Journals (Sweden)

    Nelson Violante-Carvalho

    2009-12-01

    Full Text Available The SWAN wave model is widely used in coastal waters and the main focus of this work is on its application in a harbor. Its last released version - SWAN 40.51 - includes an approximation to compute diffraction, however, so far there are few published works that discuss this matter. The performance of the model is therefore investigated in a harbor where reflection and diffraction play a relevant role. To assess its estimates, a phase-resolving Boussinesq wave model is employed as well, together with measurements carried out at a small-scale model of the area behind the breakwater. For irregular, short-crested waves with broad directional spreading, the importance of diffraction is relatively small. On the other hand, reflection of the incident waves is significant, increasing the energy inside the harbor. Nevertheless, the SWAN model does not achieve convergence when it is set to compute diffraction and reflection simultaneously. It is concluded that, for situations typically encountered in harbors, with irregular waves near reflective obstacles, the model should be set without the diffraction option.O modelo de ondas SWAN é amplamente empregado em simulações na região costeira e o presente trabalho investiga sua aplicação dentro de um porto. A última versão disponibilizada para a comunidade - SWAN 40.51 - inclui uma aproximação para computar a difração, embora, até o momento, poucos trabalhos abordando este tema foram publicados. O desempenho do modelo é estudado em um porto onde os fenômenos de reflexão e difração são importantes. Para avaliar suas estimativas, um modelo do tipo Boussinesq também é empregado, juntamente com medições realizadas em um modelo em escala reduzida da área atrás do quebramar. Para ondas irregulares, com cristas curtas e espalhamento direcional mais amplo, a importância da difração é relativamente menor. Contudo, o modelo SWAN não alcança convergência quando programado para estimar

  17. Novel web service selection model based on discrete group search.

    Science.gov (United States)

    Zhai, Jie; Shao, Zhiqing; Guo, Yi; Zhang, Haiteng

    2014-01-01

    In our earlier work, we present a novel formal method for the semiautomatic verification of specifications and for describing web service composition components by using abstract concepts. After verification, the instantiations of components were selected to satisfy the complex service performance constraints. However, selecting an optimal instantiation, which comprises different candidate services for each generic service, from a large number of instantiations is difficult. Therefore, we present a new evolutionary approach on the basis of the discrete group search service (D-GSS) model. With regard to obtaining the optimal multiconstraint instantiation of the complex component, the D-GSS model has competitive performance compared with other service selection models in terms of accuracy, efficiency, and ability to solve high-dimensional service composition component problems. We propose the cost function and the discrete group search optimizer (D-GSO) algorithm and study the convergence of the D-GSS model through verification and test cases.

  18. Dimensional reduction of Markov state models from renormalization group theory

    Science.gov (United States)

    Orioli, S.; Faccioli, P.

    2016-09-01

    Renormalization Group (RG) theory provides the theoretical framework to define rigorous effective theories, i.e., systematic low-resolution approximations of arbitrary microscopic models. Markov state models are shown to be rigorous effective theories for Molecular Dynamics (MD). Based on this fact, we use real space RG to vary the resolution of the stochastic model and define an algorithm for clustering microstates into macrostates. The result is a lower dimensional stochastic model which, by construction, provides the optimal coarse-grained Markovian representation of the system's relaxation kinetics. To illustrate and validate our theory, we analyze a number of test systems of increasing complexity, ranging from synthetic toy models to two realistic applications, built form all-atom MD simulations. The computational cost of computing the low-dimensional model remains affordable on a desktop computer even for thousands of microstates.

  19. Dimensional reduction of Markov state models from renormalization group theory.

    Science.gov (United States)

    Orioli, S; Faccioli, P

    2016-09-28

    Renormalization Group (RG) theory provides the theoretical framework to define rigorous effective theories, i.e., systematic low-resolution approximations of arbitrary microscopic models. Markov state models are shown to be rigorous effective theories for Molecular Dynamics (MD). Based on this fact, we use real space RG to vary the resolution of the stochastic model and define an algorithm for clustering microstates into macrostates. The result is a lower dimensional stochastic model which, by construction, provides the optimal coarse-grained Markovian representation of the system's relaxation kinetics. To illustrate and validate our theory, we analyze a number of test systems of increasing complexity, ranging from synthetic toy models to two realistic applications, built form all-atom MD simulations. The computational cost of computing the low-dimensional model remains affordable on a desktop computer even for thousands of microstates.

  20. Modelling animal group fission using social network dynamics.

    Science.gov (United States)

    Sueur, Cédric; Maire, Anaïs

    2014-01-01

    Group life involves both advantages and disadvantages, meaning that individuals have to compromise between their nutritional needs and their social links. When a compromise is impossible, the group splits in order to reduce conflict of interests and favour positive social interactions between its members. In this study we built a dynamic model of social networks to represent a succession of temporary fissions involving a change in social relations that could potentially lead to irreversible group fission (i.e. no more group fusion). This is the first study that assesses how a social network changes according to group fission-fusion dynamics. We built a model that was based on different parameters: the group size, the influence of nutritional needs compared to social needs, and the changes in the social network after a temporary fission. The results obtained from this theoretical data indicate how the percentage of social relation transfer, the number of individuals and the relative importance of nutritional requirements and social links influence the average number of days before irreversible fission occurs. The greater the nutritional needs and the higher the transfer of social relations during temporary fission, the fewer days will be observed before an irreversible fission. It is crucial to bridge the gap between the individual and the population level if we hope to understand how simple, local interactions may drive ecological systems.

  1. Hidden Markov Models for the Activity Profile of Terrorist Groups

    CERN Document Server

    Raghavan, Vasanthan; Tartakovsky, Alexander G

    2012-01-01

    The main focus of this work is on developing models for the activity profile of a terrorist group, detecting sudden spurts and downfalls in this profile, and in general, tracking it over a period of time. Toward this goal, a d-state hidden Markov model (HMM) that captures the latent states underlying the dynamics of the group and thus its activity profile is developed. The simplest setting of d = 2 corresponds to the case where the dynamics are coarsely quantized as Active and Inactive, respectively. Two strategies for spurt detection and tracking are developed here: a model-independent strategy that uses the exponential weighted moving-average (EWMA) filter to track the strength of the group as measured by the number of attacks perpetrated by it, and a state estimation strategy that exploits the underlying HMM structure. The EWMA strategy is robust to modeling uncertainties and errors, and tracks persistent changes (changes that last for a sufficiently long duration) in the strength of the group. On the othe...

  2. Affine group formulation of the Standard Model coupled to gravity

    CERN Document Server

    Chou, Ching-Yi; Soo, Chopin

    2013-01-01

    Using the affine group formalism, we perform a nonperturbative quantization leading to the construction of elements of a physical Hilbert space for full, Lorentzian quantum gravity coupled to the Standard Model in four spacetime dimensions. This paper constitutes a first step toward understanding the phenomenology of quantum gravitational effects stemming from a consistent treatment of minimal couplings to matter.

  3. Wave groups in uni-directional surface-wave models

    NARCIS (Netherlands)

    Groesen, van E.

    1998-01-01

    Uni-directional wave models are used to study wave groups that appear in wave tanks of hydrodynamic laboratories; characteristic for waves in such tanks is that the wave length is rather small, comparable to the depth of the layer. In second-order theory, the resulting Nonlinear Schrödinger (NLS) eq

  4. On the renormalization group transformation for scalar hierarchical models

    Energy Technology Data Exchange (ETDEWEB)

    Koch, H. (Texas Univ., Austin (USA). Dept. of Mathematics); Wittwer, P. (Geneva Univ. (Switzerland). Dept. de Physique Theorique)

    1991-06-01

    We give a new proof for the existence of a non-Gaussian hierarchical renormalization group fixed point, using what could be called a beta-function for this problem. We also discuss the asymptotic behavior of this fixed point, and the connection between the hierarchical models of Dyson and Gallavotti. (orig.).

  5. Research on Effectiveness Modeling of the Online Chat Group

    Directory of Open Access Journals (Sweden)

    Hua-Fei Zhang

    2013-01-01

    Full Text Available The online chat group is a small-scale multiuser social networking platform, in which users participate in the discussions and send and receive information. Online chat group service providers are concerned about the number of active members because more active members means more advertising revenues. For the group owners and members, efficiency of information acquisition is the concern. So it is of great value to model these two indicators’ impacting factors. This paper deduces the mathematical models of the number of active members and efficiency of information acquisition and then conducts numerical experiment. The experimental results provide evidences about how to improve the number of active members and efficiency of information acquisition.

  6. The Cognitive Complexity in Modelling the Group Decision Process

    Directory of Open Access Journals (Sweden)

    Barna Iantovics

    2010-06-01

    Full Text Available The paper investigates for some basic contextual factors (such
    us the problem complexity, the users' creativity and the problem space complexity the cognitive complexity associated with modelling the group decision processes (GDP in e-meetings. The analysis is done by conducting a socio-simulation experiment for an envisioned collaborative software tool that acts as a stigmergic environment for modelling the GDP. The simulation results revels some interesting design guidelines for engineering some contextual functionalities that minimize the cognitive complexity associated with modelling the GDP.

  7. A tree-based model for homogeneous groupings of multinomials.

    Science.gov (United States)

    Yang, Tae Young

    2005-11-30

    The motivation of this paper is to provide a tree-based method for grouping multinomial data according to their classification probability vectors. We produce an initial tree by binary recursive partitioning whereby multinomials are successively split into two subsets and the splits are determined by maximizing the likelihood function. If the number of multinomials k is too large, we propose to order the multinomials, and then build the initial tree based on a dramatically smaller number k-1 of possible splits. The tree is then pruned from the bottom up. The pruning process involves a sequence of hypothesis tests of a single homogeneous group against the alternative that there are two distinct, internally homogeneous groups. As pruning criteria, the Bayesian information criterion and the Wilcoxon rank-sum test are proposed. The tree-based model is illustrated on genetic sequence data. Homogeneous groupings of genetic sequences present new opportunities to understand and align these sequences.

  8. Introduction to the IWA task group on biofilm modeling.

    Science.gov (United States)

    Noguera, D R; Morgenroth, E

    2004-01-01

    An International Water Association (IWA) Task Group on Biofilm Modeling was created with the purpose of comparatively evaluating different biofilm modeling approaches. The task group developed three benchmark problems for this comparison, and used a diversity of modeling techniques that included analytical, pseudo-analytical, and numerical solutions to the biofilm problems. Models in one, two, and three dimensional domains were also compared. The first benchmark problem (BM1) described a monospecies biofilm growing in a completely mixed reactor environment and had the purpose of comparing the ability of the models to predict substrate fluxes and concentrations for a biofilm system of fixed total biomass and fixed biomass density. The second problem (BM2) represented a situation in which substrate mass transport by convection was influenced by the hydrodynamic conditions of the liquid in contact with the biofilm. The third problem (BM3) was designed to compare the ability of the models to simulate multispecies and multisubstrate biofilms. These three benchmark problems allowed identification of the specific advantages and disadvantages of each modeling approach. A detailed presentation of the comparative analyses for each problem is provided elsewhere in these proceedings.

  9. Real space renormalization group theory of disordered models of glasses.

    Science.gov (United States)

    Angelini, Maria Chiara; Biroli, Giulio

    2017-03-28

    We develop a real space renormalization group analysis of disordered models of glasses, in particular of the spin models at the origin of the random first-order transition theory. We find three fixed points, respectively, associated with the liquid state, with the critical behavior, and with the glass state. The latter two are zero-temperature ones; this provides a natural explanation of the growth of effective activation energy scale and the concomitant huge increase of relaxation time approaching the glass transition. The lower critical dimension depends on the nature of the interacting degrees of freedom and is higher than three for all models. This does not prevent 3D systems from being glassy. Indeed, we find that their renormalization group flow is affected by the fixed points existing in higher dimension and in consequence is nontrivial. Within our theoretical framework, the glass transition results in an avoided phase transition.

  10. Renormalisation group improved leptogenesis in family symmetry models

    Energy Technology Data Exchange (ETDEWEB)

    Cooper, Iain K., E-mail: ikc1g08@soton.ac.uk [School of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ (United Kingdom); King, Stephen F., E-mail: king@soton.ac.uk [School of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ (United Kingdom); Luhn, Christoph, E-mail: christoph.luhn@durham.ac.uk [School of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ (United Kingdom); Institute for Particle Physics Phenomenology, University of Durham, Durham, DH1 3LE (United Kingdom)

    2012-06-11

    We study renormalisation group (RG) corrections relevant for leptogenesis in the case of family symmetry models such as the Altarelli-Feruglio A{sub 4} model of tri-bimaximal lepton mixing or its extension to tri-maximal mixing. Such corrections are particularly relevant since in large classes of family symmetry models, to leading order, the CP violating parameters of leptogenesis would be identically zero at the family symmetry breaking scale, due to the form dominance property. We find that RG corrections violate form dominance and enable such models to yield viable leptogenesis at the scale of right-handed neutrino masses. More generally, the results of this paper show that RG corrections to leptogenesis cannot be ignored for any family symmetry model involving sizeable neutrino and {tau} Yukawa couplings.

  11. Work group diversity and group performance: an integrative model and research agenda.

    Science.gov (United States)

    van Knippenberg, Daan; De Dreu, Carsten K W; Homan, Astrid C

    2004-12-01

    Research on the relationship between work group diversity and performance has yielded inconsistent results. To address this problem, the authors propose the categorization-elaboration model (CEM), which reconceptualizes and integrates information/decision making and social categorization perspectives on work-group diversity and performance. The CEM incorporates mediator and moderator variables that typically have been ignored in diversity research and incorporates the view that information/decision making and social categorization processes interact such that intergroup biases flowing from social categorization disrupt the elaboration (in-depth processing) of task-relevant information and perspectives. In addition, the authors propose that attempts to link the positive and negative effects of diversity to specific types of diversity should be abandoned in favor of the assumption that all dimensions of diversity may have positive as well as negative effects. The ways in which these propositions may set the agenda for future research in diversity are discussed.

  12. Morphodynamic modeling of an embayed beach under wave group forcing

    Science.gov (United States)

    Reniers, A. J. H. M.; Roelvink, J. A.; Thornton, E. B.

    2004-01-01

    The morphodynamic response of the nearshore zone of an embayed beach induced by wave groups is examined with a numerical model. The model utilizes the nonlinear shallow water equations to phase resolve the mean and infragravity motions in combination with an advection-diffusion equation for the sediment transport. The sediment transport associated with the short-wave asymmetry is accounted for by means of a time-integrated contribution of the wave nonlinearity using stream function theory. The two-dimensional (2-D) computations consider wave group energy made up of directionally spread, short waves with a zero mean approach angle with respect to the shore normal, incident on an initially alongshore uniform barred beach. Prior to the 2-D computations, the model is calibrated with prototype flume measurements of waves, currents, and bed level changes during erosive and accretive conditions. The most prominent feature of the 2-D model computations is the development of an alongshore quasi-periodic bathymetry of shoals cut by rip channels. Without directional spreading, the smallest alongshore separation of the rip channels is obtained, and the beach response is self-organizing in nature. Introducing a small amount of directional spreading (less than 2°) results in a strong increase in the alongshore length scales as the beach response changes from self-organizing to being quasi-forced. A further increase in directional spreading leads again to smaller length scales. The hypothesized correlation between the observed rip spacing and wave group forced edge waves over the initially alongshore uniform bathymetry is not found. However, there is a correlation between the alongshore length scales of the wave group-induced quasi-steady flow circulations and the eventual alongshore spacing of the rip channels. This suggests that the scouring associated with the quasi-steady flow induced by the initial wave groups triggers the development of rip channels via a positive feedback

  13. Graphs of groups on surfaces interactions and models

    CERN Document Server

    White, AT

    2001-01-01

    The book, suitable as both an introductory reference and as a text book in the rapidly growing field of topological graph theory, models both maps (as in map-coloring problems) and groups by means of graph imbeddings on sufaces. Automorphism groups of both graphs and maps are studied. In addition connections are made to other areas of mathematics, such as hypergraphs, block designs, finite geometries, and finite fields. There are chapters on the emerging subfields of enumerative topological graph theory and random topological graph theory, as well as a chapter on the composition of English

  14. Learning at the workplace and sustainable employability: A multi-source model moderated by age

    NARCIS (Netherlands)

    Heijden, B.I.J.M. van der; Gorgievski, M.J.; Lange, A.H. de

    2016-01-01

    This study, among 330 pairs of employees and their supervisors, tested whether self- versus supervisor ratings of five employability dimensions (occupational expertise, corporate sense, personal flexibility, anticipation and optimization, and balance) are associated with different learning

  15. Learning at the workplace and sustainable employability: a multi-source model moderated by age

    NARCIS (Netherlands)

    van der Heijden, Beatrice; Gorgievski, Marjan J.; de Lange, Annet H.

    2015-01-01

    This study, among 330 pairs of employees and their supervisors, tested whether self- versus supervisor ratings of five employability dimensions (occupational expertise, corporate sense, personal flexibility, anticipation and optimization, and balance) are associated with different learning

  16. Learning at the workplace and sustainable employability: a multi-source model moderated by age

    NARCIS (Netherlands)

    Heijden, Beatrice van der; Gorgievski, Marjan; Lange, Annet de

    2015-01-01

    This study, among 330 pairs of employees and their supervisors, tested whether self- versus supervisor ratings of five employability dimensions (occupational expertise, corporate sense, personal flexibility, anticipation and optimization, and balance) are associated with different learning character

  17. Learning at the workplace and sustainable employability: A multi-source model moderated by age

    NARCIS (Netherlands)

    Heijden, B.I.J.M. van der; Gorgievski, M.J.; Lange, A.H. de

    2016-01-01

    This study, among 330 pairs of employees and their supervisors, tested whether self- versus supervisor ratings of five employability dimensions (occupational expertise, corporate sense, personal flexibility, anticipation and optimization, and balance) are associated with different learning character

  18. Learning at the workspace and sustainable employability: a multi source model moderated by age

    NARCIS (Netherlands)

    Heijden, Beatrice van der; Gorgievski, Marjan; Lange, Annet de

    2015-01-01

    This study, among 330 pairs of employees and their supervisors, tested whether self- versus supervisor ratings of five employability dimensions (occupational expertise, corporate sense, personal flexibility, anticipation and optimization, and balance) are associated with different learning character

  19. Employer Role in Integrative Workplace Health Management: A New Model in Progress

    OpenAIRE

    Cordia Chu; Sophie Dwyer

    2002-01-01

    The health of the international workforce has been an increasing area of concern for the last two decades. Globalization of the world economy and rapid technological changes continue to change the nature of work and employment practices, exposing employees to new and serious health risks. These challenges are inescapable in any workplace, therefore it is important that employers examine how they can best fulfill their legal and leadership roles to protect and promote the health and well-being...

  20. [Bridge employment and retirees' personal well-being. A structural equation model with a European probabilistic sample].

    Science.gov (United States)

    Topa Cantisano, Gabriela; Depolo, Marco; Moriano León, Juan A; Morales Domínguez, José F

    2009-05-01

    The aim of this paper is twofold: first, to examine the relationships between antecedents and consequences of bridge employment activity; second, to analyze the mediator role both of quality and quantity of bridge employment activities in the relationship between antecedents and consequences. First wave panel data from the SHARE (Survey of Health, Ageing and Retirement in Europe) were obtained from 1190 men and women in Europe, using structured interviews and questionnaires. Structural equation modeling analyses, including the sample without missing values (N=650), showed that both quantity and quality of bridge employment participation are predictors of job satisfaction, life satisfaction, and quality of life in retirement. These results validate and expand the previous research on bridge employment activities and partial retirement.

  1. In-vehicle group activity modeling and simulation in sensor-based virtual environment

    Science.gov (United States)

    Shirkhodaie, Amir; Telagamsetti, Durga; Poshtyar, Azin; Chan, Alex; Hu, Shuowen

    2016-05-01

    Human group activity recognition is a very complex and challenging task, especially for Partially Observable Group Activities (POGA) that occur in confined spaces with limited visual observability and often under severe occultation. In this paper, we present IRIS Virtual Environment Simulation Model (VESM) for the modeling and simulation of dynamic POGA. More specifically, we address sensor-based modeling and simulation of a specific category of POGA, called In-Vehicle Group Activities (IVGA). In VESM, human-alike animated characters, called humanoids, are employed to simulate complex in-vehicle group activities within the confined space of a modeled vehicle. Each articulated humanoid is kinematically modeled with comparable physical attributes and appearances that are linkable to its human counterpart. Each humanoid exhibits harmonious full-body motion - simulating human-like gestures and postures, facial impressions, and hands motions for coordinated dexterity. VESM facilitates the creation of interactive scenarios consisting of multiple humanoids with different personalities and intentions, which are capable of performing complicated human activities within the confined space inside a typical vehicle. In this paper, we demonstrate the efficiency and effectiveness of VESM in terms of its capabilities to seamlessly generate time-synchronized, multi-source, and correlated imagery datasets of IVGA, which are useful for the training and testing of multi-source full-motion video processing and annotation. Furthermore, we demonstrate full-motion video processing of such simulated scenarios under different operational contextual constraints.

  2. Tensor renormalization group methods for spin and gauge models

    Science.gov (United States)

    Zou, Haiyuan

    The analysis of the error of perturbative series by comparing it to the exact solution is an important tool to understand the non-perturbative physics of statistical models. For some toy models, a new method can be used to calculate higher order weak coupling expansion and modified perturbation theory can be constructed. However, it is nontrivial to generalize the new method to understand the critical behavior of high dimensional spin and gauge models. Actually, it is a big challenge in both high energy physics and condensed matter physics to develop accurate and efficient numerical algorithms to solve these problems. In this thesis, one systematic way named tensor renormalization group method is discussed. The applications of the method to several spin and gauge models on a lattice are investigated. theoretically, the new method allows one to write an exact representation of the partition function of models with local interactions. E.g. O(N) models, Z2 gauge models and U(1) gauge models. Practically, by using controllable approximations, results in both finite volume and the thermodynamic limit can be obtained. Another advantage of the new method is that it is insensitive to sign problems for models with complex coupling and chemical potential. Through the new approach, the Fisher's zeros of the 2D O(2) model in the complex coupling plane can be calculated and the finite size scaling of the results agrees well with the Kosterlitz-Thouless assumption. Applying the method to the O(2) model with a chemical potential, new phase diagram of the models can be obtained. The structure of the tensor language may provide a new tool to understand phase transition properties in general.

  3. Real-space renormalization group approach to the Anderson model

    Science.gov (United States)

    Campbell, Eamonn

    Many of the most interesting electronic behaviours currently being studied are associated with strong correlations. In addition, many of these materials are disordered either intrinsically or due to doping. Solving interacting systems exactly is extremely computationally expensive, and approximate techniques developed for strongly correlated systems are not easily adapted to include disorder. As a non-interacting disordered model, it makes sense to consider the Anderson model as a first step in developing an approximate method of solution to the interacting and disordered Anderson-Hubbard model. Our renormalization group (RG) approach is modeled on that proposed by Johri and Bhatt [23]. We found an error in their work which we have corrected in our procedure. After testing the execution of the RG, we benchmarked the density of states and inverse participation ratio results against exact diagonalization. Our approach is significantly faster than exact diagonalization and is most accurate in the limit of strong disorder.

  4. A model for the multiplex dynamics of two-mode and one-mode networks, with an application to employment preference, friendship, and advice.

    Science.gov (United States)

    Snijders, Tom A B; Lomi, Alessandro; Torló, Vanina Jasmine

    2013-05-01

    We propose a new stochastic actor-oriented model for the co-evolution of two-mode and one-mode networks. The model posits that activities of a set of actors, represented in the two-mode network, co-evolve with exchanges and interactions between the actors, as represented in the one-mode network. The model assumes that the actors, not the activities, have agency. The empirical value of the model is demonstrated by examining how employment preferences co-evolve with friendship and advice relations in a group of seventy-five MBA students. The analysis shows that activity in the two-mode network, as expressed by number of employment preferences, is related to activity in the friendship network, as expressed by outdegrees. Further, advice ties between students lead to agreement with respect to employment preferences. In addition, considering the multiplexity of advice and friendship ties yields a better understanding of the dynamics of the advice relation: tendencies to reciprocation and homophily in advice relations are mediated to an important extent by friendship relations. The discussion pays attention to the implications of this study in the broader context of current efforts to model the co-evolutionary dynamics of social networks and individual behavior.

  5. Stochastic group selection model for the evolution of altruism

    CERN Document Server

    Silva, A T C; Silva, Ana T. C.

    1999-01-01

    We study numerically and analytically a stochastic group selection model in which a population of asexually reproducing individuals, each of which can be either altruist or non-altruist, is subdivided into $M$ reproductively isolated groups (demes) of size $N$. The cost associated with being altruistic is modelled by assigning the fitness $1- \\tau$, with $\\tau \\in [0,1]$, to the altruists and the fitness 1 to the non-altruists. In the case that the altruistic disadvantage $\\tau$ is not too large, we show that the finite $M$ fluctuations are small and practically do not alter the deterministic results obtained for $M \\to \\infty$. However, for large $\\tau$ these fluctuations greatly increase the instability of the altruistic demes to mutations. These results may be relevant to the dynamics of parasite-host systems and, in particular, to explain the importance of mutation in the evolution of parasite virulence.

  6. Ensemble renormalization group for the random-field hierarchical model.

    Science.gov (United States)

    Decelle, Aurélien; Parisi, Giorgio; Rocchi, Jacopo

    2014-03-01

    The renormalization group (RG) methods are still far from being completely understood in quenched disordered systems. In order to gain insight into the nature of the phase transition of these systems, it is common to investigate simple models. In this work we study a real-space RG transformation on the Dyson hierarchical lattice with a random field, which leads to a reconstruction of the RG flow and to an evaluation of the critical exponents of the model at T=0. We show that this method gives very accurate estimations of the critical exponents by comparing our results with those obtained by some of us using an independent method.

  7. Quasi hope algebras, group cohomology and orbifold models

    Science.gov (United States)

    Dijkgraaf, R.; Pasquier, V.; Roche, P.

    1991-01-01

    We construct non trivial quasi Hopf algebras associated to any finite group G and any element of H3( G, U(1)). We analyze in details the set of representations of these algebras and show that we recover the main interesting datas attached to particular orbifolds of Rational Conformal Field Theory or equivalently to the topological field theories studied by R. Dijkgraaf and E. Witten. This leads us to the construction of the R-matrix structure in non abelian RCFT orbifold models.

  8. Applying OWA operator to model group behaviors in uncertain QFD

    OpenAIRE

    2013-01-01

    It is a crucial step to derive the priority order of design requirements (DRs) from customer requirements (CRs) in quality function deployment (QFD). However, it is not straightforward to prioritize DRs due to two types of uncertainties: human subjective perception and user variability. This paper proposes an OWA based group decision-making approach to uncertain QFD with an application to a flexible manufacturing system design. The proposed model performs computations solely based on the orde...

  9. Model parameters for representative wetland plant functional groups

    Science.gov (United States)

    Williams, Amber S.; Kiniry, James R.; Mushet, David M.; Smith, Loren M.; McMurry, Scott T.; Attebury, Kelly; Lang, Megan; McCarty, Gregory W.; Shaffer, Jill A.; Effland, William R.; Johnson, Mari-Vaughn V.

    2017-01-01

    Wetlands provide a wide variety of ecosystem services including water quality remediation, biodiversity refugia, groundwater recharge, and floodwater storage. Realistic estimation of ecosystem service benefits associated with wetlands requires reasonable simulation of the hydrology of each site and realistic simulation of the upland and wetland plant growth cycles. Objectives of this study were to quantify leaf area index (LAI), light extinction coefficient (k), and plant nitrogen (N), phosphorus (P), and potassium (K) concentrations in natural stands of representative plant species for some major plant functional groups in the United States. Functional groups in this study were based on these parameters and plant growth types to enable process-based modeling. We collected data at four locations representing some of the main wetland regions of the United States. At each site, we collected on-the-ground measurements of fraction of light intercepted, LAI, and dry matter within the 2013–2015 growing seasons. Maximum LAI and k variables showed noticeable variations among sites and years, while overall averages and functional group averages give useful estimates for multisite simulation modeling. Variation within each species gives an indication of what can be expected in such natural ecosystems. For P and K, the concentrations from highest to lowest were spikerush (Eleocharis macrostachya), reed canary grass (Phalaris arundinacea), smartweed (Polygonum spp.), cattail (Typha spp.), and hardstem bulrush (Schoenoplectus acutus). Spikerush had the highest N concentration, followed by smartweed, bulrush, reed canary grass, and then cattail. These parameters will be useful for the actual wetland species measured and for the wetland plant functional groups they represent. These parameters and the associated process-based models offer promise as valuable tools for evaluating environmental benefits of wetlands and for evaluating impacts of various agronomic practices in

  10. Do Labour Market Programmes Necessarily Crowd out Regular Employment? A Matching Model Analysis

    NARCIS (Netherlands)

    Miller, J.G.

    1996-01-01

    It is often claimed that the usage of labour market programmes will necessarily crowd out regular employment (see, for example, Holmlund & Lindén (1993)). As a result, it could be argued that, despite their probable negative impact on unemployment, the overall benefits of using labour market program

  11. Video Self-Modeling: A Job Skills Intervention with Individuals with Intellectual Disabilities in Employment Settings

    Science.gov (United States)

    Goh, Ailsa E.

    2010-01-01

    A large majority of adults with intellectual disabilities are unemployed. Unemployment of adults with intellectual disabilities is a complex multidimensional issue. Some barriers to employment of individuals with intellectual disabilities are the lack of job experience and skills training. In recent years, video-based interventions, such as video…

  12. A Peer-to-Peer Support Model for Developing Graduate Students' Career and Employability Skills

    Science.gov (United States)

    Jones, Narelle; Torezani, Silvia; Luca, Joseph

    2012-01-01

    Career opportunities for Australian research graduates have expanded in recent years into areas outside academia. However, the employment market is highly competitive, and Australian universities have recognised the need to produce graduates with transferable skills across all sectors, not just academia. The need to provide an infrastructure to…

  13. A Peer-to-Peer Support Model for Developing Graduate Students' Career and Employability Skills

    Science.gov (United States)

    Jones, Narelle; Torezani, Silvia; Luca, Joseph

    2012-01-01

    Career opportunities for Australian research graduates have expanded in recent years into areas outside academia. However, the employment market is highly competitive, and Australian universities have recognised the need to produce graduates with transferable skills across all sectors, not just academia. The need to provide an infrastructure to…

  14. GROUP GUIDANCE SERVICES MANAGEMENT OF BEHAVIORAL TECHNIC HOMEWORK MODEL

    Directory of Open Access Journals (Sweden)

    Juhri A M.

    2013-09-01

    Full Text Available Abstract: This simple paper describes the implementation of management guidance service groups using the model home visits behavioral techniques (behavior technic homework. The ideas outlined in this paper are intended to add insight for counselors in the management of the implementation of counseling services group that carried out effectively. This simple paper is expected to be used as reference studies in theoretical matters relating to the management guidance services group, for counselors to students both need guidance services and those who passively as they face various problems difficulties martial jar and obstacles in the achievement of learning , In general, this study aims to provide insight in particular in the development of social skills for students, especially the ability to communicate with the participants of the service (students more While specifically to encourage the development of feelings, thoughts, perceptions, insights and attitudes that support embodiments behavior Iebih creative and effective in improving communication skills both verbal and non-verbal for students. Keyword: counselor, counseling, group, student

  15. Renormalization group approach to causal bulk viscous cosmological models

    Energy Technology Data Exchange (ETDEWEB)

    Belinchon, J A [Grupo Inter-Universitario de Analisis Dimensional, Dept. Fisica ETS Arquitectura UPM, Av. Juan de Herrera 4, Madrid (Spain); Harko, T [Department of Physics, University of Hong Kong, Pokfulam Road, Hong Kong (China); Mak, M K [Department of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong (China)

    2002-06-07

    The renormalization group method is applied to the study of homogeneous and flat Friedmann-Robertson-Walker type universes, filled with a causal bulk viscous cosmological fluid. The starting point of the study is the consideration of the scaling properties of the gravitational field equations, the causal evolution equation of the bulk viscous pressure and the equations of state. The requirement of scale invariance imposes strong constraints on the temporal evolution of the bulk viscosity coefficient, temperature and relaxation time, thus leading to the possibility of obtaining the bulk viscosity coefficient-energy density dependence. For a cosmological model with bulk viscosity coefficient proportional to the Hubble parameter, we perform the analysis of the renormalization group flow around the scale-invariant fixed point, thereby obtaining the long-time behaviour of the scale factor.

  16. Evaluation of the perceptual grouping parameter in the CTVA model

    Directory of Open Access Journals (Sweden)

    Manuel Cortijo

    2005-01-01

    Full Text Available The CODE Theory of Visual Attention (CTVA is a mathematical model explaining the effects of grouping by proximity and distance upon reaction times and accuracy of response with regard to elements in the visual display. The predictions of the theory agree quite acceptably in one and two dimensions (CTVA-2D with the experimental results (reaction times and accuracy of response. The difference between reaction-times for the compatible and incompatible responses, known as the responsecompatibility effect, is also acceptably predicted, except at small distances and high number of distractors. Further results using the same paradigm at even smaller distances have been now obtained, showing greater discrepancies. Then, we have introduced a method to evaluate the strength of sensory evidence (eta parameter, which takes grouping by similarity into account and minimizes these discrepancies.

  17. Quasi Hopf algebras, group cohomology and orbifold models

    Energy Technology Data Exchange (ETDEWEB)

    Dijkgraaf, R. (Princeton Univ., NJ (USA). Joseph Henry Labs.); Pasquier, V. (CEA Centre d' Etudes Nucleaires de Saclay, 91 - Gif-sur-Yvette (France). Inst. de Recherche Fondamentale (IRF)); Roche, P. (Ecole Polytechnique, 91 - Palaiseau (France). Centre de Physique Theorique)

    1991-01-01

    We construct non trivial quasi Hopf algebras associated to any finite group G and any element of H{sup 3}(G,U)(1). We analyze in details the set of representations of these algebras and show that we recover the main interesting datas attached to particular orbifolds of Rational Conformal Field Theory or equivalently to the topological field theories studied by R. Dijkgraaf and E. Witten. This leads us to the construction of the R-matrix structure in non abelian RCFT orbifold models. (orig.).

  18. Competition and the Racial Wage Gap: Testing Becker's Model of Employer Discrimination

    OpenAIRE

    Hirata, Guilherme; Soares, Rodrigo R.

    2016-01-01

    According to Becker's (1957) theory of taste-based employer discrimination, pure economic rents are necessary for discrimination to be observed in the labor market. Increased competition and reduced rents in the market for final goods should therefore lead to reduced labor market discrimination. We look at the natural experiment represented by the Brazilian trade liberalization from the early 1990s to study the effect of increased competition in the market for final goods on racial discrimina...

  19. The Beyond the Standard Model Working Group Summary Report

    CERN Document Server

    Azuelos, Georges; Hewett, J L; Landsberg, G L; Matchev, K; Paige, Frank E; Rizzo, T; Rurua, L; Abdullin, S; Albert, A; Allanach, Benjamin C; Blazek, T; Cavalli, D; Charles, F; Cheung, K; Dedes, A; Dimopoulos, Savas K; Dreiner, H; Ellwanger, Ulrich; Gorbunov, D S; Heinemeyer, S; Hinchliffe, Ian; Hugonie, C; Moretti, S; Polesello, G; Przysiezniak, H; Richardson, Peter; Vacavant, L; Weiglein, Georg

    2002-01-01

    Report of the "Beyond the Standard Model" working group for the Workshop `Physics at TeV Colliders', Les Houches, France, 21 May - 1 June 2001. It consists of 18 separate parts: 1. Preface; 2. Theoretical Discussion; 3. Numerical Calculation of the mSUGRA and Higgs Spectrum; 4. Theoretical Uncertainties in Sparticle Mass Predictions; 5. High Mass Supersymmetry with High Energy Hadron Colliders; 6. SUSY with Heavy Scalars at LHC; 7. Inclusive Study of MSSM in CMS; 8. Establishing a No-Lose Theorem for NMSSM Higgs Boson Discovery at the LHC; 9. Effects of Supersymmetric Phases on Higgs Production in Association with Squark Pairs in the Minimal Supersymmetric Standard Model; 10. Study of the Lepton Flavour Violating Decays of Charged Fermions in SUSY GUTs; 11. Interactions of the Goldstino Supermultiplet with Standard Model Fields; 12. Attempts at Explaining the NuTeV Observation of Di-Muon Events; 13. Kaluza-Klein States of the Standard Model Gauge Bosons: Constraints From High Energy Experiments; 14. Kaluza-Kl...

  20. One decade of the Data Fusion Information Group (DFIG) model

    Science.gov (United States)

    Blasch, Erik

    2015-05-01

    The revision of the Joint Directors of the Laboratories (JDL) Information Fusion model in 2004 discussed information processing, incorporated the analyst, and was coined the Data Fusion Information Group (DFIG) model. Since that time, developments in information technology (e.g., cloud computing, applications, and multimedia) have altered the role of the analyst. Data production has outpaced the analyst; however the analyst still has the role of data refinement and information reporting. In this paper, we highlight three examples being addressed by the DFIG model. One example is the role of the analyst to provide semantic queries (through an ontology) so that vast amount of data available can be indexed, accessed, retrieved, and processed. The second idea is reporting which requires the analyst to collect the data into a condensed and meaningful form through information management. The last example is the interpretation of the resolved information from data that must include contextual information not inherent in the data itself. Through a literature review, the DFIG developments in the last decade demonstrate the usability of the DFIG model to bring together the user (analyst or operator) and the machine (information fusion or manager) in a systems design.

  1. Renormalization group approach to a p-wave superconducting model

    Energy Technology Data Exchange (ETDEWEB)

    Continentino, Mucio A.; Deus, Fernanda [Centro Brasileiro de Pesquisas Fisicas, Rua Dr. Xavier Sigaud, 150, Urca 22290-180, Rio de Janeiro, RJ (Brazil); Caldas, Heron [Departamento de Ciências Naturais, Universidade Federal de São João Del Rei, 36301-000, São João Del Rei, MG (Brazil)

    2014-04-01

    We present in this work an exact renormalization group (RG) treatment of a one-dimensional p-wave superconductor. The model proposed by Kitaev consists of a chain of spinless fermions with a p-wave gap. It is a paradigmatic model of great actual interest since it presents a weak pairing superconducting phase that has Majorana fermions at the ends of the chain. Those are predicted to be useful for quantum computation. The RG allows to obtain the phase diagram of the model and to study the quantum phase transition from the weak to the strong pairing phase. It yields the attractors of these phases and the critical exponents of the weak to strong pairing transition. We show that the weak pairing phase of the model is governed by a chaotic attractor being non-trivial from both its topological and RG properties. In the strong pairing phase the RG flow is towards a conventional strong coupling fixed point. Finally, we propose an alternative way for obtaining p-wave superconductivity in a one-dimensional system without spin–orbit interaction.

  2. A small group learning model for evidence-based medicine

    Directory of Open Access Journals (Sweden)

    Al Achkar M

    2016-10-01

    Full Text Available Morhaf Al Achkar, M Kelly Davies Department of Family Medicine, Indiana University School of Medicine, Indianapolis, IN, USA Background: Evidence-based medicine (EBM skills are invaluable tools for residents and practicing physicians. The purpose of this study is to evaluate the effectiveness of small-group learning models in teaching fundamental EBM skills. Methods: The intervention consisted of an EBM bootcamp divided into four 2-hour sessions across 4-week rotations. Residents worked in small groups of three to four to explore fundamentals of EBM through interactive dialogue and mock clinical scenario practice. The intervention’s effectiveness was evaluated using pre- and post-assessments. Results: A total of 40 (93.0% residents out of a potential 43 participated in the EBM bootcamps across the 3 years. There was significant improvement of 3.28 points on self-assessed EBM skills from an average of 9.66–12.945 out of a maximum score of 15 (P=0.000. There was significant improvement of 1.68 points on the EBM skills test from an average of 6.02–7.71 out of a maximum score of 9 (P=0.00. All residents (100% agreed or strongly agreed that EBM is important for a physician’s clinical practice. This view did not change after the training. Conclusion: A brief small-group interactive workshop in EBM basic skills at the start of residency was effective in developing fundamental EBM skills. Keywords: evidence-based medicine, resident training, small group

  3. The Way College Counselors Give Precise Employment Guidance and Assistance to the Difficult Group%高校辅导员如何对就业困难群体进行精准就业指导与帮扶

    Institute of Scientific and Technical Information of China (English)

    孟兴林

    2016-01-01

    The employment of the employment difficult group is the key to achieve full employment of college students, and how to carry out precise employment guidance and assistance, is the inevitable requirement to do a good job in the employment of college graduates. This article from the scope of college counselors' ability, and according to the dynamic partition to this group, the network information service, employment easy access, personalized employment guidance, employment tracking and feedback, explore the way college counselors carry out precise employment guidance and assistance.%高校就业困难群体就业是实现大学生充分就业的关键一环,如何对他们进行精准就业指导与帮扶,是做好高校毕业生就业工作的必然要求。本文从高校辅导员的能力范围内,围绕就业困难群体的动态划分,网络信息服务、就业绿色通道、个性化就业指导、就业跟踪和反馈等方面,探索高校辅导员如何对就业困难群体进行精准就业指导与帮扶的措施。

  4. Exploring the Impact of Students' Learning Approach on Collaborative Group Modeling of Blood Circulation

    Science.gov (United States)

    Lee, Shinyoung; Kang, Eunhee; Kim, Heui-Baik

    2015-01-01

    This study aimed to explore the effect on group dynamics of statements associated with deep learning approaches (DLA) and their contribution to cognitive collaboration and model development during group modeling of blood circulation. A group was selected for an in-depth analysis of collaborative group modeling. This group constructed a model in a…

  5. The group-as-a-whole-object relations model of group psychotherapy.

    Science.gov (United States)

    Rosen, D; Stukenberg, K W; Saeks, S

    2001-01-01

    The authors review the theoretical basis of group psychotherapy performed at The Menninger Clinic and demonstrate how the theory has been put into practice on two different types of inpatient units. The fundamental elements of the theory and practice used can be traced to object relations theory as originally proposed by Melanie Klein. Her work with individuals was directly applied to working with groups by Ezriel and Bion, who focused on interpreting group tension. More modern approaches have reintegrated working with individual concerns while also attending to the group-as-a-whole. Historically, these principles have been applied to long-term group treatment. The authors apply the concepts from the group-as-a-whole literature to short- and medium-length inpatient groups with open membership. They offer clinical examples of the application of these principles in short-term inpatient settings in groups with open membership.

  6. A maximum entropy model for opinions in social groups

    Science.gov (United States)

    Davis, Sergio; Navarrete, Yasmín; Gutiérrez, Gonzalo

    2014-04-01

    We study how the opinions of a group of individuals determine their spatial distribution and connectivity, through an agent-based model. The interaction between agents is described by a Hamiltonian in which agents are allowed to move freely without an underlying lattice (the average network topology connecting them is determined from the parameters). This kind of model was derived using maximum entropy statistical inference under fixed expectation values of certain probabilities that (we propose) are relevant to social organization. Control parameters emerge as Lagrange multipliers of the maximum entropy problem, and they can be associated with the level of consequence between the personal beliefs and external opinions, and the tendency to socialize with peers of similar or opposing views. These parameters define a phase diagram for the social system, which we studied using Monte Carlo Metropolis simulations. Our model presents both first and second-order phase transitions, depending on the ratio between the internal consequence and the interaction with others. We have found a critical value for the level of internal consequence, below which the personal beliefs of the agents seem to be irrelevant.

  7. The positive group affect spiral : a dynamic model of the emergence of positive affective similarity in work groups

    NARCIS (Netherlands)

    Walter, F.; Bruch, H.

    2008-01-01

    This conceptual paper seeks to clarify the process of the emergence of positive collective affect. Specifically, it develops a dynamic model of the emergence of positive affective similarity in work groups. It is suggested that positive group affective similarity and within-group relationship qualit

  8. The positive group affect spiral : a dynamic model of the emergence of positive affective similarity in work groups

    NARCIS (Netherlands)

    Walter, F.; Bruch, H.

    This conceptual paper seeks to clarify the process of the emergence of positive collective affect. Specifically, it develops a dynamic model of the emergence of positive affective similarity in work groups. It is suggested that positive group affective similarity and within-group relationship

  9. Modeling regional population-employment dynamics across different sectors of the economy

    NARCIS (Netherlands)

    Graaff, T. de; Oort, F.G. van; Florax, R.

    2012-01-01

    An important subset of the literature on agglomeration externalities hypothesizes that intrasectoral and intersectoral relations are endogenously determined in models of local and regional economic growth. Remarkably, structural adjustment models describing the spatio-temporal dynamics of population

  10. Sensitivity in forward modeled hyperspectral reflectance due to phytoplankton groups

    Science.gov (United States)

    Manzo, Ciro; Bassani, Cristiana; Pinardi, Monica; Giardino, Claudia; Bresciani, Mariano

    2016-04-01

    Phytoplankton is an integral part of the ecosystem, affecting trophic dynamics, nutrient cycling, habitat condition, and fisheries resources. The types of phytoplankton and their concentrations are used to describe the status of water and the processes inside of this. This study investigates bio-optical modeling of phytoplankton functional types (PFT) in terms of pigment composition demonstrating the capability of remote sensing to recognize freshwater phytoplankton. In particular, a sensitivity analysis of simulated hyperspectral water reflectance (with band setting of HICO, APEX, EnMAP, PRISMA and Sentinel-3) of productive eutrophic waters of Mantua lakes (Italy) environment is presented. The bio-optical model adopted for simulating the hyperspectral water reflectance takes into account the reflectance dependency on geometric conditions of light field, on inherent optical properties (backscattering and absorption coefficients) and on concentrations of water quality parameters (WQPs). The model works in the 400-750nm wavelength range, while the model parametrization is based on a comprehensive dataset of WQP concentrations and specific inherent optical properties of the study area, collected in field surveys carried out from May to September of 2011 and 2014. The following phytoplankton groups, with their specific absorption coefficients, a*Φi(λ), were used during the simulation: Chlorophyta, Cyanobacteria with phycocyanin, Cyanobacteria and Cryptophytes with phycoerythrin, Diatoms with carotenoids and mixed phytoplankton. The phytoplankton absorption coefficient aΦ(λ) is modelled by multiplying the weighted sum of the PFTs, Σpia*Φi(λ), with the chlorophyll-a concentration (Chl-a). To highlight the variability of water reflectance due to variation of phytoplankton pigments, the sensitivity analysis was performed by keeping constant the WQPs (i.e., Chl-a=80mg/l, total suspended matter=12.58g/l and yellow substances=0.27m-1). The sensitivity analysis was

  11. Working Group Reports: Working Group 1 - Software Systems Design and Implementation for Environmental Modeling

    Science.gov (United States)

    The purpose of the Interagency Steering Committee on Multimedia Environmental Modeling (ISCMEM) is to foster the exchange of information about environmental modeling tools, modeling frameworks, and environmental monitoring databases that are all in the public domain. It is compos...

  12. A structural econometric model of family valuation and choice of employer-sponsored health insurance in the United States.

    Science.gov (United States)

    Vanness, David J

    2003-09-01

    This paper estimates a fully structural unitary household model of employment and health insurance decisions for dual wage-earner families with children in the United States, using data from the 1987 National Medical Expenditure Survey. Families choose hours of work and the breakdown of compensation between cash wages and health insurance benefits for each wage earner in order to maximize expected utility under uncertain need for medical care. Heterogeneous demand for the employer-sponsored health insurance is thus generated directly from variations in health status and earning potential. The paper concludes by discussing the benefits of using structural models for simulating welfare effects of insurance reform relative to the costly assumptions that must be imposed for identification.

  13. Simulation of Electric Faults in Doubly-Fed Induction Generators Employing Advanced Mathematical Modelling

    DEFF Research Database (Denmark)

    Martens, Sebastian; Mijatovic, Nenad; Holbøll, Joachim

    2015-01-01

    Efficient fault detection in generators often require prior knowledge of fault behavior, which can be obtained from theoretical analysis, often carried out by using discrete models of a given generator. Mathematical models are commonly represented in the DQ0 reference frame, which is convenient...... in many areas of electrical machine analysis. However, for fault investigations, the phase-coordinate representation has been found more suitable. This paper presents a mathematical model in phase coordinates of the DFIG with two parallel windings per rotor phase. The model has been implemented in Matlab...... as undesired spectral components, which can be detected by applying frequency spectrum analysis....

  14. Multicriteria decision group model for the selection of suppliers

    Directory of Open Access Journals (Sweden)

    Luciana Hazin Alencar

    2008-08-01

    Full Text Available Several authors have been studying group decision making over the years, which indicates how relevant it is. This paper presents a multicriteria group decision model based on ELECTRE IV and VIP Analysis methods, to those cases where there is great divergence among the decision makers. This model includes two stages. In the first, the ELECTRE IV method is applied and a collective criteria ranking is obtained. In the second, using criteria ranking, VIP Analysis is applied and the alternatives are selected. To illustrate the model, a numerical application in the context of the selection of suppliers in project management is used. The suppliers that form part of the project team have a crucial role in project management. They are involved in a network of connected activities that can jeopardize the success of the project, if they are not undertaken in an appropriate way. The question tackled is how to select service suppliers for a project on behalf of an enterprise that assists the multiple objectives of the decision-makers.Vários autores têm estudado decisão em grupo nos últimos anos, o que indica a relevância do assunto. Esse artigo apresenta um modelo multicritério de decisão em grupo baseado nos métodos ELECTRE IV e VIP Analysis, adequado aos casos em que se tem uma grande divergência entre os decisores. Esse modelo é composto por dois estágios. No primeiro, o método ELECTRE IV é aplicado e uma ordenação dos critérios é obtida. No próximo estágio, com a ordenação dos critérios, o método VIP Analysis é aplicado e as alternativas são selecionadas. Para ilustrar o modelo, uma aplicação numérica no contexto da seleção de fornecedores em projetos é realizada. Os fornecedores que fazem parte da equipe do projeto têm um papel fundamental no gerenciamento de projetos. Eles estão envolvidos em uma rede de atividades conectadas que, caso não sejam executadas de forma apropriada, podem colocar em risco o sucesso do

  15. On the Charney Conjecture of Data Assimilation Employing Temperature Measurements Alone: The Paradigm of 3D Planetary Geostrophic Model

    CERN Document Server

    Farhat, Aseel; Titi, Edriss S

    2016-01-01

    Analyzing the validity and success of a data assimilation algorithm when some state variable observations are not available is an important problem in meteorology and engineering. We present an improved data assimilation algorithm for recovering the exact full reference solution (i.e. the velocity and temperature) of the 3D Planetary Geostrophic model, at an exponential rate in time, by employing coarse spatial mesh observations of the temperature alone. This provides, in the case of this paradigm, a rigorous justification to an earlier conjecture of Charney which states that temperature history of the atmosphere, for certain simple atmospheric models, determines all other state variables.

  16. Group Contribution Based Process Flowsheet Synthesis, Design and Modelling

    DEFF Research Database (Denmark)

    d'Anterroches, Loïc; Gani, Rafiqul

    2005-01-01

    In a group contribution method for pure component property prediction, a molecule is described as a set of groups linked together to form a molecular structure. In the same way, for flowsheet "property" prediction, a flowsheet can be described as a set of process-groups linked together to represent...... provides a contribution to the "property" of the flowsheet, which can be performance in terms of energy consumption, thereby allowing a flowsheet "property" to be calculated, once it is described by the groups. Another feature of this approach is that the process-group attachments provide automatically...... the flowsheet structure. Just as a functional group is a collection of atoms, a process-group is a collection of operations forming an "unit" operation or a set of "unit" operations. The link between the process-groups are the streams similar to the bonds that are attachments to atoms/groups. Each process-group...

  17. The Beyond the standard model working group: Summary report

    Energy Technology Data Exchange (ETDEWEB)

    G. Azuelos et al.

    2004-03-18

    In this working group we have investigated a number of aspects of searches for new physics beyond the Standard Model (SM) at the running or planned TeV-scale colliders. For the most part, we have considered hadron colliders, as they will define particle physics at the energy frontier for the next ten years at least. The variety of models for Beyond the Standard Model (BSM) physics has grown immensely. It is clear that only future experiments can provide the needed direction to clarify the correct theory. Thus, our focus has been on exploring the extent to which hadron colliders can discover and study BSM physics in various models. We have placed special emphasis on scenarios in which the new signal might be difficult to find or of a very unexpected nature. For example, in the context of supersymmetry (SUSY), we have considered: how to make fully precise predictions for the Higgs bosons as well as the superparticles of the Minimal Supersymmetric Standard Model (MSSM) (parts III and IV); MSSM scenarios in which most or all SUSY particles have rather large masses (parts V and VI); the ability to sort out the many parameters of the MSSM using a variety of signals and study channels (part VII); whether the no-lose theorem for MSSM Higgs discovery can be extended to the next-to-minimal Supersymmetric Standard Model (NMSSM) in which an additional singlet superfield is added to the minimal collection of superfields, potentially providing a natural explanation of the electroweak value of the parameter {micro} (part VIII); sorting out the effects of CP violation using Higgs plus squark associate production (part IX); the impact of lepton flavor violation of various kinds (part X); experimental possibilities for the gravitino and its sgoldstino partner (part XI); what the implications for SUSY would be if the NuTeV signal for di-muon events were interpreted as a sign of R-parity violation (part XII). Our other main focus was on the phenomenological implications of extra

  18. The Beyond the standard model working group: Summary report

    Energy Technology Data Exchange (ETDEWEB)

    G. Azuelos et al.

    2004-03-18

    In this working group we have investigated a number of aspects of searches for new physics beyond the Standard Model (SM) at the running or planned TeV-scale colliders. For the most part, we have considered hadron colliders, as they will define particle physics at the energy frontier for the next ten years at least. The variety of models for Beyond the Standard Model (BSM) physics has grown immensely. It is clear that only future experiments can provide the needed direction to clarify the correct theory. Thus, our focus has been on exploring the extent to which hadron colliders can discover and study BSM physics in various models. We have placed special emphasis on scenarios in which the new signal might be difficult to find or of a very unexpected nature. For example, in the context of supersymmetry (SUSY), we have considered: how to make fully precise predictions for the Higgs bosons as well as the superparticles of the Minimal Supersymmetric Standard Model (MSSM) (parts III and IV); MSSM scenarios in which most or all SUSY particles have rather large masses (parts V and VI); the ability to sort out the many parameters of the MSSM using a variety of signals and study channels (part VII); whether the no-lose theorem for MSSM Higgs discovery can be extended to the next-to-minimal Supersymmetric Standard Model (NMSSM) in which an additional singlet superfield is added to the minimal collection of superfields, potentially providing a natural explanation of the electroweak value of the parameter {micro} (part VIII); sorting out the effects of CP violation using Higgs plus squark associate production (part IX); the impact of lepton flavor violation of various kinds (part X); experimental possibilities for the gravitino and its sgoldstino partner (part XI); what the implications for SUSY would be if the NuTeV signal for di-muon events were interpreted as a sign of R-parity violation (part XII). Our other main focus was on the phenomenological implications of extra

  19. Testing Group Mean Differences of Latent Variables in Multilevel Data Using Multiple-Group Multilevel CFA and Multilevel MIMIC Modeling.

    Science.gov (United States)

    Kim, Eun Sook; Cao, Chunhua

    2015-01-01

    Considering that group comparisons are common in social science, we examined two latent group mean testing methods when groups of interest were either at the between or within level of multilevel data: multiple-group multilevel confirmatory factor analysis (MG ML CFA) and multilevel multiple-indicators multiple-causes modeling (ML MIMIC). The performance of these methods were investigated through three Monte Carlo studies. In Studies 1 and 2, either factor variances or residual variances were manipulated to be heterogeneous between groups. In Study 3, which focused on within-level multiple-group analysis, six different model specifications were considered depending on how to model the intra-class group correlation (i.e., correlation between random effect factors for groups within cluster). The results of simulations generally supported the adequacy of MG ML CFA and ML MIMIC for multiple-group analysis with multilevel data. The two methods did not show any notable difference in the latent group mean testing across three studies. Finally, a demonstration with real data and guidelines in selecting an appropriate approach to multilevel multiple-group analysis are provided.

  20. Handling a Small Dataset Problem in Prediction Model by employ Artificial Data Generation Approach: A Review

    Science.gov (United States)

    Lateh, Masitah Abdul; Kamilah Muda, Azah; Yusof, Zeratul Izzah Mohd; Azilah Muda, Noor; Sanusi Azmi, Mohd

    2017-09-01

    The emerging era of big data for past few years has led to large and complex data which needed faster and better decision making. However, the small dataset problems still arise in a certain area which causes analysis and decision are hard to make. In order to build a prediction model, a large sample is required as a training sample of the model. Small dataset is insufficient to produce an accurate prediction model. This paper will review an artificial data generation approach as one of the solution to solve the small dataset problem.

  1. A model employing integral transform method to simulate pollutant dispersion in atmosphere

    Directory of Open Access Journals (Sweden)

    Davidson Martins Moreira

    2013-12-01

    Full Text Available An updated version of the semi-analytical model for describing the steady-state concentration in the atmospheric boundary layer is presented here. Two inversion methods of the Laplace transform are tested: the Gaussian Quadrature scheme and the Fixed-Talbot method. The model takes into account settling velocity, removal (wet and dry deposition, and first order chemical reactions. The capability of the model to accurately predict the ground-level concentration is demonstrated qualitative and quantitatively. The results are in good agreement with experimental data.

  2. Bayesian latent feature modeling for modeling bipartite networks with overlapping groups

    DEFF Research Database (Denmark)

    Jørgensen, Philip H.; Mørup, Morten; Schmidt, Mikkel Nørgaard;

    2016-01-01

    Bi-partite networks are commonly modelled using latent class or latent feature models. Whereas the existing latent class models admit marginalization of parameters specifying the strength of interaction between groups, existing latent feature models do not admit analytical marginalization...... of the parameters accounting for the interaction strength within the feature representation. We propose a new binary latent feature model that admits analytical marginalization of interaction strengths such that model inference reduces to assigning nodes to latent features. We propose a constraint inspired...... to the infinite relational model and the infinite Bernoulli mixture model. We find that the model provides a new latent feature representation of structure while in link-prediction performing close to existing models. Our current extension of the notion of communities and collapsed inference to binary latent...

  3. Engaging Employers?

    Science.gov (United States)

    Hillier, Yvonne

    2008-01-01

    A key factor in the successful development of workplace learning is employer engagement (Leitch, 2006; DfES, 2007). However, despite numerous approaches by government in the United Kingdom to bring together employers, providers and learners so that economic success is generated by a skilled and flexible workforce, there continue to be challenges…

  4. The Hybrid Counterinsurgency Strategy: System Dynamics Employed to Develop a Behavioral Model of Joint Strategy

    Science.gov (United States)

    2009-03-06

    China and Ernesto “Che” Guevara in Cuba. 10 Mao Tse-tung lead the Chinese revolution in China from 1945 – 1954 and was appointed the first...support conditional Ernesto Guevara 1956 - 1967 Cuba, Congo, Bolivia Military Focus  Popular forces can defeat conventional army  Not all...Group for Preaching and Combat Financial Subsystem” Strategic Insight, 5(8), November 2006. Guevara , Ernesto . Guerilla Warfare. Harmondsworth

  5. Employing incomplete complex modes for model updating and damage detection of damped structures

    Institute of Scientific and Technical Information of China (English)

    LI HuaJun; LIU FuShun; HU Sau-Lon James

    2008-01-01

    In the study of finite element model updating or damage detection, most papers are devoted to undamped systems. Thus, their objective has been exclusively re-stricted to the correction of the mass and stiffness matrices. In contrast, this paper performs the model updating and damage detection for damped structures. A theoretical contribution of this paper is to extend the cross-model cross-mode (CMCM) method to simultaneously update the mass, damping and stiffness matri-ces of a finite element model when only few spatially incomplete, complex-valued modes are available. Numerical studies are conducted for a 30-DOF (degree-of-freedom) cantilever beam with multiple damaged elements, as the measured modes are synthesized from finite element models. The numerical results reveal that ap-plying the CMCM method, together with an iterative Guyan reduction scheme, can yield good damage detection in general. When the measured modes utilized in the CMCM method are corrupted with irregular errors, assessing damage at the loca-tion that possesses larger modal strain energy is less sensitive to the corrupted modes.

  6. Employing incomplete complex modes for model updating and damage detection of damped structures

    Institute of Scientific and Technical Information of China (English)

    HU; Sau-Lon; James

    2008-01-01

    In the study of finite element model updating or damage detection,most papers are devoted to undamped systems.Thus,their objective has been exclusively restricted to the correction of the mass and stiffness matrices.In contrast,this paper performs the model updating and damage detection for damped structures.A theoretical contribution of this paper is to extend the cross-model cross-mode(CMCM) method to simultaneously update the mass,damping and stiffness matrices of a finite element model when only few spatially incomplete,complex-valued modes are available.Numerical studies are conducted for a 30-DOF(degree-of-freedom) cantilever beam with multiple damaged elements,as the measured modes are synthesized from finite element models.The numerical results reveal that applying the CMCM method,together with an iterative Guyan reduction scheme,can yield good damage detection in general.When the measured modes utilized in the CMCM method are corrupted with irregular errors,assessing damage at the location that possesses larger modal strain energy is less sensitive to the corrupted modes.

  7. Frequency regulators for the nonperturbative renormalization group: a general study and the model A as a benchmark

    CERN Document Server

    Duclut, Charlie

    2016-01-01

    We derive the necessary conditions for implementing a regulator that depends on both momentum and frequency in the nonperturbative renormalization group flow equations of out-of-equilibrium statistical systems. We consider model A as a benchmark and compute its dynamical critical exponent $z$. This allows us to show that frequency regulators compatible with causality and the fluctuation-dissipation theorem can be devised. We show that when the Principle of Minimal Sensitivity (PMS) is employed to optimize the critical exponents $\\eta$, $\

  8. Some combinatorial models for reduced expressions in Coxeter groups

    CERN Document Server

    Denoncourt, Hugh

    2011-01-01

    Stanley's formula for the number of reduced expressions of a permutation regarded as a Coxeter group element raises the question of how to enumerate the reduced expressions of an arbitrary Coxeter group element. We provide a framework for answering this question by constructing combinatorial objects that represent the inversion set and the reduced expressions for an arbitrary Coxeter group element. The framework also provides a formula for the length of an element formed by deleting a generator from a Coxeter group element. Fan and Hagiwara, et al$.$ showed that for certain Coxeter groups, the short-braid avoiding elements characterize those elements that give reduced expressions when any generator is deleted from a reduced expression. We provide a characterization that holds in all Coxeter groups. Lastly, we give applications to the freely braided elements introduced by Green and Losonczy, generalizing some of their results that hold in simply-laced Coxeter groups to the arbitrary Coxeter group setting.

  9. Affine group formulation of the Standard Model coupled to gravity

    Energy Technology Data Exchange (ETDEWEB)

    Chou, Ching-Yi, E-mail: l2897107@mail.ncku.edu.tw [Department of Physics, National Cheng Kung University, Taiwan (China); Ita, Eyo, E-mail: ita@usna.edu [Department of Physics, US Naval Academy, Annapolis, MD (United States); Soo, Chopin, E-mail: cpsoo@mail.ncku.edu.tw [Department of Physics, National Cheng Kung University, Taiwan (China)

    2014-04-15

    In this work we apply the affine group formalism for four dimensional gravity of Lorentzian signature, which is based on Klauder’s affine algebraic program, to the formulation of the Hamiltonian constraint of the interaction of matter and all forces, including gravity with non-vanishing cosmological constant Λ, as an affine Lie algebra. We use the hermitian action of fermions coupled to gravitation and Yang–Mills theory to find the density weight one fermionic super-Hamiltonian constraint. This term, combined with the Yang–Mills and Higgs energy densities, are composed with York’s integrated time functional. The result, when combined with the imaginary part of the Chern–Simons functional Q, forms the affine commutation relation with the volume element V(x). Affine algebraic quantization of gravitation and matter on equal footing implies a fundamental uncertainty relation which is predicated upon a non-vanishing cosmological constant. -- Highlights: •Wheeler–DeWitt equation (WDW) quantized as affine algebra, realizing Klauder’s program. •WDW formulated for interaction of matter and all forces, including gravity, as affine algebra. •WDW features Hermitian generators in spite of fermionic content: Standard Model addressed. •Constructed a family of physical states for the full, coupled theory via affine coherent states. •Fundamental uncertainty relation, predicated on non-vanishing cosmological constant.

  10. On Range Searching in the Group Model and Combinatorial Discrepancy

    DEFF Research Database (Denmark)

    Larsen, Kasper Green

    2011-01-01

    In this paper we establish an intimate connection between dynamic range searching in the group model and combinatorial discrepancy. Our result states that, for a broad class of range searching data structures (including all known upper bounds), it must hold that $t_ut_q = Omega(disc^2/lg n)$ where...... $t_u$ is the worst case update time, $t_q$ the worst case query time and $disc$ is the combinatorial discrepancy of the range searching problem in question. This relation immediately implies a whole range of exceptionally high and near-tight lower bounds for all of the basic range searching problems....... We list a few of them in the following:begin{itemize}item For half space range searching in $d$-dimensional space, we get a lower bound of $t_u t_q = Omega(n^{1-1/d}/lg n)$. This comes within a $lg n lg lg n$ factor of the best known upper bound. item For orthogonal range searching in $d...

  11. ON range searching in the group model and combinatorial discrepancy

    DEFF Research Database (Denmark)

    Larsen, Kasper Green

    2014-01-01

    In this paper we establish an intimate connection between dynamic range searching in the group model and combinatorial discrepancy. Our result states that, for a broad class of range searching data structures (including all known upper bounds), it must hold that $t_u t_q=\\Omega(\\mbox{disc}^2......)$, where $t_u$ is the worst case update time, $t_q$ is the worst case query time, and disc is the combinatorial discrepancy of the range searching problem in question. This relation immediately implies a whole range of exceptionally high and near-tight lower bounds for all of the basic range searching...... problems. We list a few of them in the following: (1) For $d$-dimensional halfspace range searching, we get a lower bound of $t_u t_q=\\Omega(n^{1-1/d})$. This comes within an lg lg $n$ factor of the best known upper bound. (2) For orthogonal range searching, we get a lower bound of $t_u t...

  12. Significantly improved HIV inhibitor efficacy prediction employing proteochemometric models generated from antivirogram data.

    Directory of Open Access Journals (Sweden)

    Gerard J P van Westen

    Full Text Available Infection with HIV cannot currently be cured; however it can be controlled by combination treatment with multiple anti-retroviral drugs. Given different viral genotypes for virtually each individual patient, the question now arises which drug combination to use to achieve effective treatment. With the availability of viral genotypic data and clinical phenotypic data, it has become possible to create computational models able to predict an optimal treatment regimen for an individual patient. Current models are based only on sequence data derived from viral genotyping; chemical similarity of drugs is not considered. To explore the added value of chemical similarity inclusion we applied proteochemometric models, combining chemical and protein target properties in a single bioactivity model. Our dataset was a large scale clinical database of genotypic and phenotypic information (in total ca. 300,000 drug-mutant bioactivity data points, 4 (NNRTI, 8 (NRTI or 9 (PI drugs, and 10,700 (NNRTI 10,500 (NRTI or 27,000 (PI mutants. Our models achieved a prediction error below 0.5 Log Fold Change. Moreover, when directly compared with previously published sequence data, derived models PCM performed better in resistance classification and prediction of Log Fold Change (0.76 log units versus 0.91. Furthermore, we were able to successfully confirm both known and identify previously unpublished, resistance-conferring mutations of HIV Reverse Transcriptase (e.g. K102Y, T216M and HIV Protease (e.g. Q18N, N88G from our dataset. Finally, we applied our models prospectively to the public HIV resistance database from Stanford University obtaining a correct resistance prediction rate of 84% on the full set (compared to 80% in previous work on a high quality subset. We conclude that proteochemometric models are able to accurately predict the phenotypic resistance based on genotypic data even for novel mutants and mixtures. Furthermore, we add an applicability domain to

  13. Formal language models for finding groups of experts

    NARCIS (Netherlands)

    S. Liang; M. de Rijke

    2016-01-01

    The task of finding groups or teams has recently received increased attention, as a natural and challenging extension of search tasks aimed at retrieving individual entities. We introduce a new group finding task: given a query topic, we try to find knowledgeable groups that have expertise on that t

  14. A Model Psychoeducational Group for Survivors of Organizational Downsizing.

    Science.gov (United States)

    Foley, Pamela F.; Smith, John E.

    1999-01-01

    Describes a one-day psychoeducational group for survivors of a recent organizational downsizing. Principal goal of the group is to prevent "Layoff Survivor Syndrome" through instruction and group exercises designed to normalize common responses and increase awareness of positive coping strategies. Provides descriptions of group…

  15. GIS modelling for new landfill sites: critical review of employed criteria and methods of selection criteria

    Science.gov (United States)

    Abujayyab, Sohaib K. M.; Ahamad, Mohd Sanusi S.; Shukri Yahya, Ahmad; Bashir, Mohammed J. K.; Aziz, Hamidi Abdul

    2016-06-01

    Policy makers and the public are increasingly concerned with the determination of landfill-siting input criteria (DLSIC) in landfill modelling procedures as an area of research. Thus, its procedures are complicated and decision makers are increasingly pressured. These procedures can be considerably develop in order to reduce the negative effect of landfill locations on the environment, economy, and society. In this review article, literature related to the developments of 64 models and their procedures in the past 18 years (from 1997 to 2014) were comprehensively survey. DLSIC are determined through a conventional method. The frequency of criterion usage reflects the limitation of Conventional method for DLSIC. Moreover, some of these studies utilize unrelated criteria that are time-consuming, costly, arduous, and fruitless. Potential improvement in Geographic information systems GIS modelling parameter for landfill sites via utilizing multivariate analysis (MVA) instead of Conventional method (CM) through for DLSIC (e.g., Input variables, Accuracy, objectivity, reliability of criteria, time consumption, cost and comprehensiveness) were emphasize. It can be conclude that expenses can be reduce by implementing MVA in DLSIC for landfill modelling using geographic information systems (GIS) based on the corresponding significant level. Moreover, the determined criteria can be accurate, satisfying, sufficient, and free of bias from experts and human error.

  16. University-Community Partnership Models: Employing Organizational Management Theories of Paradox and Strategic Contradiction

    Science.gov (United States)

    Bowers, Amanda M.

    2017-01-01

    University-Community (U-C) partnerships have the potential to respond to society's most pressing needs through engaged scholarship. Despite this promise, partnerships face paradoxical tensions and inherent contradictions that are often not fully addressed in U-C partnership models or frameworks, or in practice. This article seeks to explore the…

  17. A Life-Cycle Model of Human Social Groups Produces a U-Shaped Distribution in Group Size.

    Directory of Open Access Journals (Sweden)

    Gul Deniz Salali

    Full Text Available One of the central puzzles in the study of sociocultural evolution is how and why transitions from small-scale human groups to large-scale, hierarchically more complex ones occurred. Here we develop a spatially explicit agent-based model as a first step towards understanding the ecological dynamics of small and large-scale human groups. By analogy with the interactions between single-celled and multicellular organisms, we build a theory of group lifecycles as an emergent property of single cell demographic and expansion behaviours. We find that once the transition from small-scale to large-scale groups occurs, a few large-scale groups continue expanding while small-scale groups gradually become scarcer, and large-scale groups become larger in size and fewer in number over time. Demographic and expansion behaviours of groups are largely influenced by the distribution and availability of resources. Our results conform to a pattern of human political change in which religions and nation states come to be represented by a few large units and many smaller ones. Future enhancements of the model should include decision-making rules and probabilities of fragmentation for large-scale societies. We suggest that the synthesis of population ecology and social evolution will generate increasingly plausible models of human group dynamics.

  18. Agency employment

    OpenAIRE

    Tomčíková, Ilona

    2012-01-01

    - Agency Employment For my thesis topic, I have chosen "Agency Employment". It's a relatively young institute, which was incorporated into our legal system only on October 1st, 2004. I believe that Agency Employment topic can be always considered current and positive, because it allows us to flexibly react to the needs of the job market. Since the topic is very broad, the goal of this paper is not a detailed analysis of all aspects of this institute, but only a few of them that I consider to ...

  19. SAR Computation inside Fetus by RF Coil during MR Imaging Employing Realistic Numerical Pregnant Woman Model

    Science.gov (United States)

    Kikuchi, Satoru; Saito, Kazuyuki; Takahashi, Masaharu; Ito, Koichi; Ikehira, Hiroo

    This paper presents the computational electromagnetic dosimetry inside an anatomically based pregnant woman models exposed to electromagnetic wave during magnetic resonance imaging. The two types of pregnant woman models corresponding to early gestation and 26 weeks gestation were used for this study. The specific absorption rate (SAR) in and around a fetus were calculated by radiated electromagnetic wave from highpass and lowpass birdcage coil. Numerical calculation results showed that high SAR region is observed at the body in the vicinity of gaps of the coil, and is related to concentrated electric field in the gaps of human body such as armpit and thigh. Moreover, it has confirmed that the SAR in the fetus is less than International Electrotechnical Commission limit of 10W/kg, when whole-body average SARs are 2W/kg and 4W/kg, which are the normal operating mode and first level controlled operating mode, respectively.

  20. Control method and system for hydraulic machines employing a dynamic joint motion model

    Science.gov (United States)

    Danko, George

    2011-11-22

    A control method and system for controlling a hydraulically actuated mechanical arm to perform a task, the mechanical arm optionally being a hydraulically actuated excavator arm. The method can include determining a dynamic model of the motion of the hydraulic arm for each hydraulic arm link by relating the input signal vector for each respective link to the output signal vector for the same link. Also the method can include determining an error signal for each link as the weighted sum of the differences between a measured position and a reference position and between the time derivatives of the measured position and the time derivatives of the reference position for each respective link. The weights used in the determination of the error signal can be determined from the constant coefficients of the dynamic model. The error signal can be applied in a closed negative feedback control loop to diminish or eliminate the error signal for each respective link.

  1. Congestion Control in the Internet by Employing a Ratio dependent Plant Herbivore Carnivorous Model

    CERN Document Server

    Jamali, Shahram

    2009-01-01

    The demand for Internet based services has exploded over the last decade. Many organizations use the Internet and particularly the World Wide Web as their primary medium for communication and business. This phenomenal growth has dramatically increased the performance requirements for the Internet. To have a high performance Internet, a good congestion control system is essential for it. The current work proposes that the congestion control in the Internet can be inspired from the population control tactics of the nature. Toward this idea, each flow (W) in the network is viewed as a species whose population size is congestion window size of the flow. By this assumption, congestion control problem is redefined as population control of flow species. This paper defines a three trophic food chain analogy in congestion control area, and gives a ratio dependent model to control population size of W species within this plant herbivore carnivorous food chain. Simulation results show that this model achieves fair bandw...

  2. An older-worker employment model: Japan's Silver Human Resource Centers.

    Science.gov (United States)

    Bass, S A; Oka, M

    1995-10-01

    Over the past 20 years, a unique model of publicly assisted industries has developed in Japan, which contracts for services provided by retirees. Jobs for retirees are part-time and temporary in nature and, for the most part, are designed to assist in expanding community-based services. The program, known as the Silver Human Resource Centers, has expanded nationwide and reflects a novel approach to the productive engagement of retirees in society that may be replicable in other industrialized nations.

  3. Employing New Mathematical Models and Equations to Evaluate Risk-Benefit Criteria of Clinical Therapeutics

    Directory of Open Access Journals (Sweden)

    Da Y. Lu

    2007-01-01

    Full Text Available Current preclinical and clinical evaluation of a drugs or therapy is at first to find out a maximum toxicity tolerance, which is overall fixed. The potential therapeutic dosage will be ranged just lower or within the periphery of these maximum tolerant data. A hidden acceptance among general researchers lies as the toxicity concentration of a drug is always the same and can be referred as a fixed data. However, practical therapeutics is not very strictly following this doctrine. Even using many strict well-formed mathematical models and toxicity evaluating systems, the disputes and lawsuits of some newly-developed drugs are increasing dramatically nowadays. In this work, a mathematical equation and a dynamic parameter  are generated to help improving this situation. This new mathematic model combines and integrates effective, toxicity and no effective data as a whole, which fits to evaluate the risk-benefits of therapeutics in dynamic and changeable states. We need no more to deduce therapeutic dosage from fixed tolerance data regardless different therapeutic modes of action and toxicity of drugs acting on different organs and physiological systems. We hypothesize and equation that risk-benefit ratios are varied with drug dosages. It is a new start to help the understanding of effects and toxicities of therapeutic same time in a single clinical practice and well compliment with previous mathematical models.

  4. D Recording for 2d Delivering - the Employment of 3d Models for Studies and Analyses -

    Science.gov (United States)

    Rizzi, A.; Baratti, G.; Jiménez, B.; Girardi, S.; Remondino, F.

    2011-09-01

    In the last years, thanks to the advances of surveying sensors and techniques, many heritage sites could be accurately replicated in digital form with very detailed and impressive results. The actual limits are mainly related to hardware capabilities, computation time and low performance of personal computer. Often, the produced models are not visible on a normal computer and the only solution to easily visualized them is offline using rendered videos. This kind of 3D representations is useful for digital conservation, divulgation purposes or virtual tourism where people can visit places otherwise closed for preservation or security reasons. But many more potentialities and possible applications are available using a 3D model. The problem is the ability to handle 3D data as without adequate knowledge this information is reduced to standard 2D data. This article presents some surveying and 3D modeling experiences within the APSAT project ("Ambiente e Paesaggi dei Siti d'Altura Trentini", i.e. Environment and Landscapes of Upland Sites in Trentino). APSAT is a multidisciplinary project funded by the Autonomous Province of Trento (Italy) with the aim documenting, surveying, studying, analysing and preserving mountainous and hill-top heritage sites located in the region. The project focuses on theoretical, methodological and technological aspects of the archaeological investigation of mountain landscape, considered as the product of sequences of settlements, parcelling-outs, communication networks, resources, and symbolic places. The mountain environment preserves better than others the traces of hunting and gathering, breeding, agricultural, metallurgical, symbolic activities characterised by different lengths and environmental impacts, from Prehistory to the Modern Period. Therefore the correct surveying and documentation of this heritage sites and material is very important. Within the project, the 3DOM unit of FBK is delivering all the surveying and 3D material to

  5. Towards intelligent diagnostic system employing integration of mathematical and engineering model

    Science.gov (United States)

    Isa, Nor Ashidi Mat

    2015-05-01

    The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

  6. Transport and diffusion using a diagnostic mesoscale model employing mass and total energy conservation constraints

    Energy Technology Data Exchange (ETDEWEB)

    Meyers, R E; Cederwall, R T; Ohmstede, W D; aufm Kampe, W

    1976-01-01

    Several steps are described that have been taken to advance the method of ''interpolation'' associated with meteorological measurements. These newer methods incorporate some physical constraints into the interpolation. It is the intent of this paper to qualitatively describe early fruits of a joint project at Brookhaven National Laboratory and White Sands Missile Range which has as its objective the formulation of a numerical objective methodology for reconstructing the meteorological fields suitable for the exercise of meso/regional scale transport, chemical and radioactive transformation, and diffusion models.

  7. Towards intelligent diagnostic system employing integration of mathematical and engineering model

    Energy Technology Data Exchange (ETDEWEB)

    Isa, Nor Ashidi Mat [Imaging and Intelligent System Research Team (ISRT), School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang (Malaysia)

    2015-05-15

    The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

  8. Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter

    Directory of Open Access Journals (Sweden)

    Yujie Shen

    2016-01-01

    Full Text Available An ideal inerter has been applied to various vibration engineering fields because of its superior vibration isolation performance. This paper proposes a new type of fluid inerter and analyzes the nonlinearities including friction and nonlinear damping force caused by the viscosity of fluid. The nonlinear model of fluid inerter is demonstrated by the experiments analysis. Furthermore, the full-car dynamic model involving the nonlinear fluid inerter is established. It has been detected that the performance of the vehicle suspension may be influenced by the nonlinearities of inerter. So, parameters of the suspension system including the spring stiffness and the damping coefficient are optimized by means of QGA (quantum genetic algorithm, which combines the genetic algorithm and quantum computing. Results indicate that, compared with the original nonlinear suspension system, the RMS (root-mean-square of vertical body acceleration of optimized suspension has decreased by 9.0%, the RMS of pitch angular acceleration has decreased by 19.9%, and the RMS of roll angular acceleration has decreased by 9.6%.

  9. Intermittent heating in the solar corona employing a 3D MHD model

    CERN Document Server

    Bingert, Sven

    2011-01-01

    We investigate the spatial and temporal evolution of the heating of the corona of a cool star such as our Sun in a three-dimensional magneto-hydrodynamic (3D MHD) model. We solve the 3D MHD problem numerically in a box representing part of the (solar) corona. The energy balance includes Spitzer heat conduction along the magnetic field and optically thin radiative losses. The self-consistent heating mechanism is based on the braiding of magnetic field lines rooted in the convective photosphere. Magnetic stress induced by photospheric motions leads to currents in the atmosphere which heat the corona through Ohmic dissipation. While the horizontally averaged quantities, such as heating rate, temperature or density, are relatively constant in time, the simulated corona is highly variable and dynamic, on average reaching temperatures and densities as found in observations. The strongest heating per particle is found in the transition region from the chromosphere to the corona. The heating is concentrated in curren...

  10. Minimal axiom group of similarity-based rough set model

    Institute of Scientific and Technical Information of China (English)

    DAI Jian-hua; PAN Yun-he

    2006-01-01

    Rough set axiomatization is one aspect of rough set study to characterize rough set theory using dependable and minimal axiom groups.Thus,rough set theory can be studied by logic and axiom system methods.The classical rough set theory is based on equivalence relation,but the rough set theory based on similarity relation has wide applications in the real world.To characterize similarity-based rough set theory,an axiom group named S,consisting of 3 axioms,is proposed.The reliability of the axiom group,which shows that characterizing of rough set theory based on similarity relation is rational,is proved.Simultaneously,the minimization of the axiom group,which requests that each axiom is an equation and independent,is proved.The axiom group is helpful to research rough set theory by logic and axiom system methods.

  11. A Hybrid Model For Phrase Chunking Employing Artificial Immunity System And Rule Based Methods

    Directory of Open Access Journals (Sweden)

    Bindu.M.S

    2011-11-01

    Full Text Available Natural language Understanding (NLU, an important field of Artificial Intelligence (AI is concerned with the speech and language understanding between human and computer. Understanding language means knowing what concept a word or phrase stands for and how to link them to form meaningful sentence. Identification of phrases or phrase chunking is an important step in natural language understanding (NLU. Chunker identifies and divides sentences into syntactically correlated word groups. Question Answering (QA systems, another important application of Artificial Intelligence (AImostly requires retrieval of nouns or noun phrases as answers to the questions raised by the users. Also Chunking is an important preprocessing step in full parsing. Due to high ambiguity of natural language, exact parsing of text may become very complex. This ambiguity may be partially resolved by using chunking as an intermediate step. To the best of our knowledge no known work or tag set is available for phrase chunking in Malayalam. To separate the chunks in a document it must be labeled with parts-ofspeech (POS tags. POS Tagging is a difficult task in Malayalam as it is a complex and compounding language. In this paper we describe the application of artificial immunity system (AIS for chunking which is implemented and obtained an accurate output with 96% precision and 93% recall. This system istested on corpuses collected from reputed news papers and magazines. These corpuses contained documents from five different domains such as sports, health, agriculture, science and politics and each document contained sentences –simple, compound, complex-of various levels of complexity. POS tag set with 52 tags is developed for preparing the tagged corpus for Malayalam. The phrase tag set contains 20 phrase tags.

  12. Employment of Lithuanian Statistical Data Into Tax-Benefit Micro-Simulation Models

    Directory of Open Access Journals (Sweden)

    Viginta Ivaškaitė-Tamošiūnė

    2012-07-01

    Full Text Available In this study, we aim to assess the “best fit” of the existing Lithuanian micro-datasets for constructing a national micro-simulation model. Specifically, we compare and evaluate the potential of two (state level representative micro-data surveys in terms of their potential to simulate Lithuanian (direct taxes, social contributions and social benefits. Both selected datasets contain rich information on the socio-economic and demographical conditions of the country: the Household Budget Survey (HBS for the years 2004 and 2005 and the European Community Statistics on Income and Living Conditions (EU-SILC in Lithuania for the year 2005. The selected databases offer the most comprehensive range of income and other socio-demographic attributes, needed for simulation of tax and contributions’ payers/amounts and benefits’ recipients/amounts. The evaluation of the dataset capacity to simulate these measures is done by a comparative statistical analysis. Among the comparative categories are definitions (of households, incomes, survey collection modes, level of aggregation of various variables, demographic and incomes variables and corresponding numbers (amounts.The comparative analysis of the HBS and EU-SILC datasets shows, that despite embedded differences and shortages regarding simulation capacities of both surveys, these datasets contain valuable and sufficient information for the purpose of simulation of Lithuanian tax-benefit policies.In general a conclusion could be drawn, that HBS offers higher possibilities of simulating the Lithuanian tax-benefit system. This dataset contains more detailed national income categories (i.e. recipients of maternity/paternity insurance, diverse pensions, etc.— information on which is not available in the EU-SILC. The latter dataset does not contain national policy system specific components, but offer information on income aggregates, such all old-age pensions, social exclusion benefits, etc. Additionally

  13. Quantum groups as generalized gauge symmetries in WZNW models. Part II. The quantized model

    Science.gov (United States)

    Hadjiivanov, L.; Furlan, P.

    2017-07-01

    This is the second part of a paper dealing with the "internal" (gauge) symmetry of the Wess-Zumino-Novikov-Witten (WZNW) model on a compact Lie group G. It contains a systematic exposition, for G = SU( n), of the canonical quantization based on the study of the classical model (performed in the first part) following the quantum group symmetric approach first advocated by L.D. Faddeev and collaborators. The internal symmetry of the quantized model is carried by the chiral WZNW zero modes satisfying quadratic exchange relations and an n-linear determinant condition. For generic values of the deformation parameter the Fock representation of the zero modes' algebra gives rise to a model space of U q ( sl( n)). The relevant root of unity case is studied in detail for n = 2 when a "restricted" (finite dimensional) quotient quantum group is shown to appear in a natural way. The module structure of the zero modes' Fock space provides a specific duality with the solutions of the Knizhnik-Zamolodchikov equation for the four point functions of primary fields suggesting the existence of an extended state space of logarithmic CFT type. Combining left and right zero modes (i.e., returning to the 2 D model), the rational CFT structure shows up in a setting reminiscent to covariant quantization of gauge theories in which the restricted quantum group plays the role of a generalized gauge symmetry.

  14. A Neotropical Miocene Pollen Database Employing Image-Based Search and Semantic Modeling

    Directory of Open Access Journals (Sweden)

    Jing Ginger Han

    2014-08-01

    Full Text Available Premise of the study: Digital microscopic pollen images are being generated with increasing speed and volume, producing opportunities to develop new computational methods that increase the consistency and efficiency of pollen analysis and provide the palynological community a computational framework for information sharing and knowledge transfer. Methods: Mathematical methods were used to assign trait semantics (abstract morphological representations of the images of neotropical Miocene pollen and spores. Advanced database-indexing structures were built to compare and retrieve similar images based on their visual content. A Web-based system was developed to provide novel tools for automatic trait semantic annotation and image retrieval by trait semantics and visual content. Results: Mathematical models that map visual features to trait semantics can be used to annotate images with morphology semantics and to search image databases with improved reliability and productivity. Images can also be searched by visual content, providing users with customized emphases on traits such as color, shape, and texture. Discussion: Content- and semantic-based image searches provide a powerful computational platform for pollen and spore identification. The infrastructure outlined provides a framework for building a community-wide palynological resource, streamlining the process of manual identification, analysis, and species discovery.

  15. A Categorical Model for the Virtual Braid Group

    OpenAIRE

    Kauffman, Louis H.; Lambropoulou, Sofia

    2011-01-01

    This paper gives a new interpretation of the virtual braid group in terms of a strict monoidal category SC that is freely generated by one object and three morphisms, two of the morphisms corresponding to basic pure virtual braids and one morphism corresponding to a transposition in the symmetric group. The key to this approach is to take pure virtual braids as primary. The generators of the pure virtual braid group are abstract solutions to the algebraic Yang-Baxter equation. This point of v...

  16. Employer Branding

    DEFF Research Database (Denmark)

    Frimann, Søren; Mønsted, Bolette Rye

    2012-01-01

    Employer branding er både for den private og den offentlige sektor blevet en måde, de kan imødekomme ændrede arbejdsmarkedsvilkår og organisatoriske udfordringer i en postmoderne og globaliseret verden. Den aktuelle finanskrise har skabt nye udfordringer for organisationer i deres bestræbelser på...... at tiltrække- og fastholde attraktive medarbejdere. Men hvilken betydning har det, når Grundfos siger ”Mennesket er i fokus”, og hvad siger ”mangfoldighed” om Københavns Kommune som arbejdsplads i relation til employer branding? Er der egentlig sammenhæng mellem tankerne bag employer branding og de eksternt...... kommunikerede employer brandprodukter. Eller bliver det unikke ved arbejdspladserne ersattet af buzzwords uden substans og inddragelse af ansatte og interessenter? Artiklen har til formål at vurdere disse spørgsmål på baggrund af analyser af to cases med employer branding....

  17. Employer Branding

    DEFF Research Database (Denmark)

    Frimann, Søren; Mønsted, Bolette Rye

    2012-01-01

    Employer branding er både for den private og den offentlige sektor blevet en måde, de kan imødekomme ændrede arbejdsmarkedsvilkår og organisatoriske udfordringer i en postmoderne og globaliseret verden. Den aktuelle finanskrise har skabt nye udfordringer for organisationer i deres bestræbelser på...... at tiltrække- og fastholde attraktive medarbejdere. Men hvilken betydning har det, når Grundfos siger ”Mennesket er i fokus”, og hvad siger ”mangfoldighed” om Københavns Kommune som arbejdsplads i relation til employer branding? Er der egentlig sammenhæng mellem tankerne bag employer branding og de eksternt...... kommunikerede employer brandprodukter. Eller bliver det unikke ved arbejdspladserne ersattet af buzzwords uden substans og inddragelse af ansatte og interessenter? Artiklen har til formål at vurdere disse spørgsmål på baggrund af analyser af to cases med employer branding....

  18. Employment of Lithuanian Statistical Data Into Tax-Benefit Micro-Simulation Models

    Directory of Open Access Journals (Sweden)

    Viginta Ivaškaitė-Tamošiūnė

    2013-01-01

    Full Text Available In this study, we aim to assess the “best fit” of the existing Lithuanian micro-datasets for constructing a national micro-simulation model. Specifically, we compare and evaluate the potential of two (state level representative micro-data surveys in terms of their potential to simulate Lithuanian (direct taxes, social contributions and social benefits. Both selected datasets contain rich information on the socio-economic and demographical conditions of the country: the Household Budget Survey (HBS for the years 2004 and 2005 and the European Community Statistics on Income and Living Conditions (EU-SILC in Lithuania for the year 2005. The selected databases offer the most comprehensive range of income and other socio-demographic attributes, needed for simulation of tax and contributions’ payers/amounts and benefits’ recipients/amounts. The evaluation of the dataset capacity to simulate these measures is done by a comparative statistical analysis. Among the comparative categories are definitions (of households, incomes, survey collection modes, level of aggregation of various variables, demographic and incomes variables and corresponding numbers (amounts. The comparative analysis of the HBS and EU-SILC datasets shows, that despite embedded differences and shortages regarding simulation capacities of both surveys, these datasets contain valuable and sufficient information for the purpose of simulation of Lithuanian tax-benefit policies. In general a conclusion could be drawn, that HBS offers higher possibilities of simulating the Lithuanian tax-benefit system. This dataset contains more detailed national income categories (i.e. recipients of maternity/paternity insurance, diverse pensions, etc.— information on which is not available in the EU-SILC. The latter dataset does not contain national policy system specific components, but offer information on income aggregates, such all old-age pensions, social exclusion benefits, etc

  19. A Systematic Methodology for Uncertainty Analysis of Group Contribution Based and Atom Connectivity Index Based Models for Estimation of Properties of Pure Components

    DEFF Research Database (Denmark)

    Hukkerikar, Amol; Sarup, Bent; Sin, Gürkan

    One of the most widely employed group contribution method for estimation of properties of pure components is the Marrero and Gani (MG) method. For the given component whose molecular structure is not completely described by any of the available groups, group contribution+ method (combined MG method...... and atomic connectivity index method) has been employed to create the missing groups and predict their contributions through the regressed contributions of connectivity indices. The objective of this work is to develop a systematic methodology to carry out uncertainty analysis of group contribution based...... and atom connectivity index based property prediction models. This includes: (i) parameter estimation using available MG based property prediction models and large training sets to determine improved group and atom contributions; and (ii) uncertainty analysis to establish statistical information...

  20. Prediction of Group Delay Distribution Around Receiving Point Using Modified IRI Model and IGRF Model

    Institute of Scientific and Technical Information of China (English)

    YAN Zhaowen; WANG Gang; LI Weimin; YU Dapeng; Toyobur RAHMAN

    2011-01-01

    The international reference ionosphere (IRI) model is generally accepted standard ionosphere model.It describes the ionosphere environment in quiet state and predicts the ionosphere parameters within a certain precision.In this paper,we have made a breakthrough in the application of the IRI model by modifying the model for regions of China.The main objectives of this modification are to construct the ionosphere parameters foF2 and M (3000) F2 by using the Chinese reference ionosphere (CRI)coefficients,appropriately increase hmE and hmF2 height,reduce the thickness of F layer,validate the parameter by the measured values,and solve the electron concentration distribution with quasi-parabolic segment (QPS).In this paper,3D ray tracing algorithm is constructed based on the modified IRI model and international geomagnetic reference field (IGRF) model.In short-wave propagation,it can be used to predict the electromagnetic parameters of the receiving point,such as the receiving area,maximum useable frequency (MUF) and the distribution of the group delay etc.,which can help to determine the suitability of the communication.As an example,we estimate the group delay distributions around Changchun in the detection from Qingdao to Changchun using the modified IRI model and IGRF model,and provide technical support for the short-wave communication between the two cities.

  1. A Categorical Model for the Virtual Braid Group

    CERN Document Server

    Kauffman, Louis H

    2011-01-01

    This paper gives a new interpretation of the virtual braid group in terms of a tensor category with generating diagrams that are abstract strings or connections between pairs of strands in an identity braid, and elements corresponding to virtual crossings that generate the symmetric group. The point of this categorical formulation of the virtual braid groups is that we see how these groups form a natural extension of the symmetric groups by formal elements that satisfy the algebraic Yang-Baxter equation. The category we desribe is a natural structure for an algebraist interested in exploring formal properties of the algebraic Yang-Baxter equation, and it is directly related to more topological points of view about virtual links and virtual braids. We discuss a generalization of the virtual braiding formalism to braided tensor categories that can be used for obtaining invariants of knots and links via Hopf algebras. The invariants we obtain are invariants of rotational virtual knots and links, where the term r...

  2. Calculating the renormalisation group equations of a SUSY model with Susyno

    CERN Document Server

    Fonseca, Renato M

    2011-01-01

    Susyno is a Mathematica package dedicated to the computation of the 2-loop renormalisation group equations of a supersymmetric model based on any gauge group (the only exception being multiple U(1) groups) and for any field content.

  3. Working Group 1: Software System Design and Implementation for Environmental Modeling

    Science.gov (United States)

    ISCMEM Working Group One Presentation, presentation with the purpose of fostering the exchange of information about environmental modeling tools, modeling frameworks, and environmental monitoring databases.

  4. Hierarchical generalized linear models for multiple groups of rare and common variants: jointly estimating group and individual-variant effects.

    Directory of Open Access Journals (Sweden)

    Nengjun Yi

    2011-12-01

    Full Text Available Complex diseases and traits are likely influenced by many common and rare genetic variants and environmental factors. Detecting disease susceptibility variants is a challenging task, especially when their frequencies are low and/or their effects are small or moderate. We propose here a comprehensive hierarchical generalized linear model framework for simultaneously analyzing multiple groups of rare and common variants and relevant covariates. The proposed hierarchical generalized linear models introduce a group effect and a genetic score (i.e., a linear combination of main-effect predictors for genetic variants for each group of variants, and jointly they estimate the group effects and the weights of the genetic scores. This framework includes various previous methods as special cases, and it can effectively deal with both risk and protective variants in a group and can simultaneously estimate the cumulative contribution of multiple variants and their relative importance. Our computational strategy is based on extending the standard procedure for fitting generalized linear models in the statistical software R to the proposed hierarchical models, leading to the development of stable and flexible tools. The methods are illustrated with sequence data in gene ANGPTL4 from the Dallas Heart Study. The performance of the proposed procedures is further assessed via simulation studies. The methods are implemented in a freely available R package BhGLM (http://www.ssg.uab.edu/bhglm/.

  5. Hierarchical Generalized Linear Models for Multiple Groups of Rare and Common Variants: Jointly Estimating Group and Individual-Variant Effects

    Science.gov (United States)

    Yi, Nengjun; Liu, Nianjun; Zhi, Degui; Li, Jun

    2011-01-01

    Complex diseases and traits are likely influenced by many common and rare genetic variants and environmental factors. Detecting disease susceptibility variants is a challenging task, especially when their frequencies are low and/or their effects are small or moderate. We propose here a comprehensive hierarchical generalized linear model framework for simultaneously analyzing multiple groups of rare and common variants and relevant covariates. The proposed hierarchical generalized linear models introduce a group effect and a genetic score (i.e., a linear combination of main-effect predictors for genetic variants) for each group of variants, and jointly they estimate the group effects and the weights of the genetic scores. This framework includes various previous methods as special cases, and it can effectively deal with both risk and protective variants in a group and can simultaneously estimate the cumulative contribution of multiple variants and their relative importance. Our computational strategy is based on extending the standard procedure for fitting generalized linear models in the statistical software R to the proposed hierarchical models, leading to the development of stable and flexible tools. The methods are illustrated with sequence data in gene ANGPTL4 from the Dallas Heart Study. The performance of the proposed procedures is further assessed via simulation studies. The methods are implemented in a freely available R package BhGLM (http://www.ssg.uab.edu/bhglm/). PMID:22144906

  6. A Review of Models for Dose Assessment Employed by SKB in the Renewed Safety Assessment for SFR 1

    Energy Technology Data Exchange (ETDEWEB)

    Shaw, George [Imperial College of Science Technology and Medicine (United Kingdom)

    2002-09-01

    This document provides a critical review, on behalf of SSI, of the models employed by the Swedish Nuclear Fuel and Waste Management Co (SKB) for dose assessment in the renewed safety assessment for the final repository for radioactive operational waste (SFR 1) in Forsmark, Sweden. The main objective of the review is to examine the models used by SKB for radiological dose assessment in a series of evolving biotopes in the vicinity of the Forsmark repository within a time frame beginning in 3000 AD and extending beyond 7500 AD. Five biosphere models (for coasts, lakes, agriculture, mires and wells) are described in Report TR-01-04. The principal consideration of the review is to determine whether these models are fit for the purpose of dose evaluation over the time frames involved and in the evolving sequence of biotopes specified. As well as providing general observations and comments on the modelling approach taken, six specific questions are addressed, as follows. Are the assumptions underlying the models justifiable? Are all reasonably foreseeable environmental processes considered? Has parameter uncertainty been sufficiently and reasonably addressed? Have sufficient models been used to address all reasonably foreseeable biotopes? Are the transitions between biotopes modelled adequately (specifically, are initial conditions for developing biotopes adequately specified by calculations for subsiding biotopes)? Have all critical radionuclides been identified? It is concluded that, in general, the assumptions underlying most of the models are justifiable. The exceptions are a) the rather simplistic approach taken in the Coastal Model and b) the lack of consideration of wild foods and age-dependence when calculating exposures of humans to radionuclides via dietary pathways. Most foreseeable processes appear to have been accounted for within the constraints of the models used, although it is recommended that attention be paid to future climate states when considering

  7. Employment Trajectories Beyond Retirement.

    Science.gov (United States)

    Burkert, Carola; Hochfellner, Daniela

    2017-01-01

    Within the political and academic debate on working longer, post-retirement employment is discussed as an alternative to maintain older workers in the labor market. Our article enhances this discussion by studying determinants of transitions into post-retirement jobs within differing work environments of birth cohorts 1940-1942. We estimate proportional subhazard models accounting for competing risks using unique German social security data linked to pension accounts. Our findings suggest that individuals' preferences to take up post-retirement jobs are not mutually exclusive. Our study provides evidence that taking up post-retirement jobs is related to seeking financial security, continuity, and work ability, suggesting that public policy has to develop target-oriented support through a public policy mix of different measures aligned to the different peer groups in the labor market.

  8. Modeling the Effects of Person Group Factors on Discrimination

    Science.gov (United States)

    Humphry, Stephen M.

    2010-01-01

    Discrimination has traditionally been parameterized for items but not other empirical factors. Consequently, if person factors affect discrimination they cause misfit. However, by explicitly formulating the relationship between discrimination and the unit of a metric, it is possible to parameterize discrimination for person groups. This article…

  9. Supported Employment in Spain.

    Science.gov (United States)

    Verdugo, Miguel Angel; Borja, F.; de Urries, Jordan; Bellver, Fernando; Martinez, Salvador

    1998-01-01

    Supported employment is growing in Spain, assisted by models from other countries and national legislation. The Spanish Association of Supported Employment is providing a framework for program development. The field must deal with the lack of systematic evaluation and with funding problems. (SK)

  10. Investor Sentiment and Employment

    NARCIS (Netherlands)

    M. Montone (Maurizio); R.C.J. Zwinkels (Remco)

    2015-01-01

    markdownabstract__Abstract__ We find that investor sentiment should affect a firm's employment policy in a world with moral hazard and noise traders. Consistent with the model's predictions, we show that higher sentiment among US investors leads to: (1) higher employment growth worldwide; (2) lower

  11. Maine's Employability Skills Program

    Science.gov (United States)

    McMahon, John M.; Wolffe, Karen E.; Wolfe, Judy; Brooker, Carrie

    2013-01-01

    This Practice Report describes the development and implementation of the "Maine Employability Skills Program," a model employment program developed by the Maine Division for the Blind and Visually Impaired (DBVI). The program was designed to support the efforts of the chronically unemployed or underemployed. These consumers were either…

  12. Appreciative Group Socialization. Model PresentationAppreciative Group Socilaization. Model Presentation [Grupul de socializare apreciativ. Prezentarea modelului

    OpenAIRE

    Simona PONEA; Antonio SANDU

    2010-01-01

    Appreciative group socialization appeared of the active collaboration of specialists from the Bureau of Support and Advice for Disabled People, the Diecesan Centre of Caritas (www.caritas-iasi.ro), active volunteers and service users involved.It added that an important role in the process of analyzing the needs of beneficiaries to participate in group. The analysis was conducted in a pragmatic manner as their experiences of beneficiaries involved as volunteers, other volunteers involved in pr...

  13. STELLA software as a tool for modelling phosphorus removal in a constructed wetland employing dewatered alum sludge as main substrate.

    Science.gov (United States)

    Kumar, J L G; Wang, Z Y; Zhao, Y Q; Babatunde, A O; Zhao, X H; Jørgensen, S E

    2011-01-01

    A dynamic simulation model was developed for the removal of soluble reactive phosphorus (SRP) from the vertical flow constructed wetlands (VFCW) using a dynamic software program called STELLA (structural thinking, experiential learning laboratory with animation) 9.1.3 to aid in simulating the environmental nature and succession of relationship between interdependent components and processes in the VFCW system. In particular, the VFCW employed dewatered alum sludge as its main substrate to enhance phosphorus (P) immobilization. Although computer modelling of P in treatment wetland has been well studied especially in recent years, there is still a need to develop simple and realistic models that can be used for investigating the dynamics of SRP in VFCWs. The state variables included in the model are dissolved phosphorus (DISP), plant phosphorus (PLAP), detritus phosphorus (DETP), plant biomass (PLBI) and adsorbed phosphorus (ADSP). The major P transformation processes considered in this study were adsorption, plant and microbial uptake and decomposition. The forcing functions which were considered in the model are temperature, radiation, volume of wastewater, P concentration, contact time, flow rate and the adsorbent (i.e., alum sludge). The model results revealed that up to 72% of the SRP can be removed through adsorption process whereas the uptake by plants is about 20% and the remaining processes such as microbial P utilization and decomposition, accounted for 7% SRP removal based on the mass balance calculations. The results obtained indicate that the model can be used to simulate outflow SRP concentration, and it can also be used to estimate the amount of P removed by individual processes in the VFCW using alum-sludge as a substrate.

  14. A Renormalization Group Like Model for a Democratic Dictatorship

    Science.gov (United States)

    Galam, Serge

    2015-03-01

    We review a model of sociophysics which deals with democratic voting in bottom up hierarchical systems. The connection to the original physical model and technics are outlined underlining both the similarities and the differences. Emphasis is put on the numerous novel and counterintuitive results obtained with respect to the associated social and political framework. Using this model a real political event was successfully predicted with the victory of the French extreme right party in the 2000 first round of French presidential elections. The perspectives and the challenges to make sociophysics a predictive solid field of science are discussed.

  15. Altered vocal fold kinematics in synthetic self-oscillating models that employ adipose tissue as a lateral boundary condition.

    Science.gov (United States)

    Saidi, Hiba; Erath, Byron D.

    2015-11-01

    The vocal folds play a major role in human communication by initiating voiced sound production. During voiced speech, the vocal folds are set into sustained vibrations. Synthetic self-oscillating vocal fold models are regularly employed to gain insight into flow-structure interactions governing the phonation process. Commonly, a fixed boundary condition is applied to the lateral, anterior, and posterior sides of the synthetic vocal fold models. However, physiological observations reveal the presence of adipose tissue on the lateral surface between the thyroid cartilage and the vocal folds. The goal of this study is to investigate the influence of including this substrate layer of adipose tissue on the dynamics of phonation. For a more realistic representation of the human vocal folds, synthetic multi-layer vocal fold models have been fabricated and tested while including a soft lateral layer representative of adipose tissue. Phonation parameters have been collected and are compared to those of the standard vocal fold models. Results show that vocal fold kinematics are affected by adding the adipose tissue layer as a new boundary condition.

  16. Decision Development in Small Groups I: A Comparison of Two Models.

    Science.gov (United States)

    Poole, Marshall Scott

    1981-01-01

    Studies the sequence of phases in group decision making. Compares the unitary sequence model, which assumes that all groups follow the same sequence of phases, and the multiple sequence model, which assumes that different groups follow different sequences. Results support the latter model and suggest revisions in current decision development. (PD)

  17. A simple model of group selection that cannot be analyzed with inclusive fitness

    NARCIS (Netherlands)

    M. van Veelen; S. Luo; B. Simon

    2014-01-01

    A widespread claim in evolutionary theory is that every group selection model can be recast in terms of inclusive fitness. Although there are interesting classes of group selection models for which this is possible, we show that it is not true in general. With a simple set of group selection models,

  18. Explorations in combining cognitive models of individuals and system dynamics models of groups.

    Energy Technology Data Exchange (ETDEWEB)

    Backus, George A.

    2008-07-01

    This report documents a demonstration model of interacting insurgent leadership, military leadership, government leadership, and societal dynamics under a variety of interventions. The primary focus of the work is the portrayal of a token societal model that responds to leadership activities. The model also includes a linkage between leadership and society that implicitly represents the leadership subordinates as they directly interact with the population. The societal model is meant to demonstrate the efficacy and viability of using System Dynamics (SD) methods to simulate populations and that these can then connect to cognitive models depicting individuals. SD models typically focus on average behavior and thus have limited applicability to describe small groups or individuals. On the other hand, cognitive models readily describe individual behavior but can become cumbersome when used to describe populations. Realistic security situations are invariably a mix of individual and population dynamics. Therefore, the ability to tie SD models to cognitive models provides a critical capability that would be otherwise be unavailable.

  19. The Spanish human papillomavirus vaccine consensus group: a working model.

    Science.gov (United States)

    Cortés-Bordoy, Javier; Martinón-Torres, Federico

    2010-08-01

    Successful implementation of Human Papillomavirus (HPV) vaccine in each country can only be achieved from a complementary and synergistic perspective, integrating all the different points of view of the diverse related professionals. It is this context where the Spanish HPV Vaccine Consensus Group (Grupo Español de Consenso sobre la Vacuna VPH, GEC-VPH) was created. GEC-VPH philosophy, objectives and experience are reported in this article, with particular attention to the management of negative publicity and anti-vaccine groups. Initiatives as GEC-VPH--adapted to each country's particular idiosyncrasies--might help to overcome the existing barriers and to achieve wide and early implementation of HPV vaccination.

  20. A model for group counseling with male pedophiles.

    Science.gov (United States)

    van Zessen, G

    1990-01-01

    Group treatment programs for pedophiles are often designed for populations of convicted men in closed institutions with limited application to other populations. Treatment is usually focused on reducing the "deviant" sexual arousal and/or acquiring heterosocial skills and eventually establishing the ability to engage in adult heterosexual relationships. A six-week, highly structured program is presented to five men in a non-residential setting. In addition to individual psychotherapy, group counseling is offered. Male pedophiles are trained to talk effectively about common problems surrounding man-boy relationships. Counseling is based on the notion that the emotional, erotic and sexual attraction to boys per se does not need to be legitimized or modified. The attraction, however, can be a source of psychological and social problems that can be handled by using a social support system. Social support for pedophile problems can be obtained from and in interaction with other pedophiles.

  1. Experimental studies on model reference adaptive control with integral action employing a rotary encoder and tachometer sensors.

    Science.gov (United States)

    Wu, Guo-Qiang; Wu, Shu-Nan; Bai, Yu-Guang; Liu, Lei

    2013-04-10

    In this paper, an adaptive law with an integral action is designed and implemented on a DC motor by employing a rotary encoder and tachometer sensors. The stability is proved by using the Lyapunov function. The tracking errors asymptotically converge to zero according to the Barbalat lemma. The tracking performance is specified by a reference model, the convergence rate of Lyapunov function is specified by the matrix Q and the control action and the state weighting are restricted by the matrix Γ. The experimental results demonstrate the effectiveness of the proposed control. The maximum errors of the position and velocity with the integral action are reduced from 0.4 V and 1.5 V to 0.2 V and 0.4 V, respectively. The adaptive control with the integral action gives satisfactory performance, even when it suffers from input disturbance.

  2. Homogeneity and prime models in torsion-free hyperbolic groups

    CERN Document Server

    Houcine, Abderezak Ould

    2010-01-01

    We show that any nonabelian free group $F$ of finite rank is homogeneous; that is for any tuples $\\bar a$, $\\bar b \\in F^n$, having the same complete $n$-type, there exists an automorphism of $F$ which sends $\\bar a$ to $\\bar b$. We further study existential types and we show that for any tuples $\\bar a, \\bar b \\in F^n$, if $\\bar a$ and $\\bar b$ have the same existential $n$-type, then either $\\bar a$ has the same existential type as a power of a primitive element, or there exists an existentially closed subgroup $E(\\bar a)$ (resp. $E(\\bar b)$) of $F$ containing $\\bar a$ (resp. $\\bar b$) and an isomorphism $\\sigma : E(\\bar a) \\to E(\\bar b)$ with $\\sigma(\\bar a)=\\bar b$. We will deal with non-free two-generated torsion-free hyperbolic groups and we show that they are $\\exists$-homogeneous and prime. This gives, in particular, concrete examples of finitely generated groups which are prime and not QFA.

  3. Effects of historically portrayed modeling and group treatment on self-observation: A comparison with agoraphobics

    NARCIS (Netherlands)

    Emmelkamp, Paul M.G.; Emmelkamp-Benner, Ank

    1975-01-01

    The effects of historically portrayed modeling and group treatment on self-observation were determined in a factorial design with agoraphobic patients. Group 1 saw a videofilm and was treated individually; group 2 saw the film and received group treatment; group 3 did not see the film and received i

  4. A Demands-Resources Model of Work Pressure in IT Student Task Groups

    Science.gov (United States)

    Wilson, E. Vance; Sheetz, Steven D.

    2010-01-01

    This paper presents an initial test of the group task demands-resources (GTD-R) model of group task performance among IT students. We theorize that demands and resources in group work influence formation of perceived group work pressure (GWP) and that heightened levels of GWP inhibit group task performance. A prior study identified 11 factors…

  5. A Primer of Social Decision Scheme Theory: Models of Group Influence, Competitive Model-Testing, and Prospective Modeling.

    Science.gov (United States)

    Stasser

    1999-10-01

    The basic elements of social decision scheme (SDS) theory are individual preferences, group preference compositions (distinguishable distributions), patterns of group influence (decision schemes, social combination rules), and collective responses (group decisions, judgments, solutions, and the like). The theory provides a framework for addressing two fundamental questions in the study of group performance: How are individual resources combined to yield a group response (the individual-into-group problem)? What are the implications of empirical observations under one set of circumstances for other conditions where data do not exist (the sparse data problem)? Several prescriptions for how to conduct fruitful group research are contained in the SDS tradition: make precise theoretical statements, provide strong and competitive tests of theories, and interpret empirical findings in the context of robust process models. Copyright 1999 Academic Press.

  6. Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

    Directory of Open Access Journals (Sweden)

    Veronika Kopačková

    2017-02-01

    Full Text Available The study tested a data mining engine (PARACUDA® to predict various soil attributes (BC, CEC, BS, pH, Corg, Pb, Hg, As, Zn and Cu using reflectance data acquired for both optical and thermal infrared regions. The engine was designed to utilize large data in parallel and automatic processing to build and process hundreds of diverse models in a unified manner while avoiding bias and deviations caused by the operator(s. The system is able to systematically assess the effect of diverse preprocessing techniques; additionally, it analyses other parameters, such as different spectral resolutions and spectral coverages that affect soil properties. Accordingly, the system was used to extract models across both optical and thermal infrared spectral regions, which holds significant chromophores. In total, 2880 models were evaluated where each model was generated with a different preprocessing scheme of the input spectral data. The models were assessed using statistical parameters such as coefficient of determination (R2, square error of prediction (SEP, relative percentage difference (RPD and by physical explanation (spectral assignments. It was found that the smoothing procedure is the most beneficial preprocessing stage, especially when combined with spectral derivation (1st or 2nd derivatives. Automatically and without the need of an operator, the data mining engine enabled the best prediction models to be found from all the combinations tested. Furthermore, the data mining approach used in this study and its processing scheme proved to be efficient tools for getting a better understanding of the geochemical properties of the samples studied (e.g., mineral associations.

  7. Illegal employment

    Directory of Open Access Journals (Sweden)

    Jana Mervartová

    2013-01-01

    Full Text Available Since 2007 Labour Code contains the definition of dependent work, which can be carried out only in labour-law relations. The Amendment to Labour Code from 2012 makes the definition more precise, when it stipulates essential elements of dependent work and designates the others as conditions, under which dependent work should be carried out. The Amendment to Employment Act changes the definition of illegal work. Illegal work is a performance of dependent work by natural person except for labour-law relation, or if natural person – foreigner carries out work in conflict with issued permission to employment or without this permission. Since 2012 sanctions for illegal work were increased. Labour inspection is entitled to impose sanctions, in case of foreigners it is Customs Office. For control purposes employer is obliged to have copies of documents at the workplace proving the existence of labour-law relation. Goal of controls and high fines is to limit illegal employment of citizens of Czech Republic and foreigners as well. Illegal work has unfavourable economic impact on state budget. It comes to extensive tax evasions and also to evasions within health insurance and social security. If a concluded commercial-law relation meets the attributes of dependent work, then it stands for a concealed legal relationship. Tax Office can subsequently assess an income tax to businessman. Labour-law relationship enjoys a higher legal protection than commercial-law relationship; nonetheless it is not suitable to limit liberty of contract in cases when it is not unambiguously a dependent activity.

  8. Appreciative Group Socialization. Model PresentationAppreciative Group Socilaization. Model Presentation [Grupul de socializare apreciativ. Prezentarea modelului

    Directory of Open Access Journals (Sweden)

    Simona PONEA

    2010-05-01

    Full Text Available Appreciative group socialization appeared of the active collaboration of specialists from the Bureau of Support and Advice for Disabled People, the Diecesan Centre of Caritas (www.caritas-iasi.ro, active volunteers and service users involved.It added that an important role in the process of analyzing the needs of beneficiaries to participate in group. The analysis was conducted in a pragmatic manner as their experiences of beneficiaries involved as volunteers, other volunteers involved in practical and analyzing records of beneficiaries, especially the social surveys. An important role was played by the views of beneficiaries and the desire to involve volunteers.Apprecitive group socialization comprised of a number of elements taken from the literature that treats this subject, and a number of elements of appreciative inquiry, the process of socialization, the process of empowerment and also the partnership process.

  9. Using the Social Enterprise Intervention (SEI) and Individual Placement and Support (IPS) models to improve employment and clinical outcomes of homeless youth with mental illness1

    Science.gov (United States)

    Ferguson, Kristin M.

    2013-01-01

    Prior research reveals high unemployment rates among homeless youth. The literature offers many examples of using evidence-informed and evidence-based supported employment models with vulnerable populations to assist them in obtaining and maintaining employment and concurrently addressing mental health challenges. However, there are few examples to date of these models with homeless youth with mental illness. The purpose of this article was thus to describe a methodology for establishing a university-agency research partnership to design, implement, evaluate, and replicate evidence-informed and evidence-based interventions with homeless youth with mental illness to enhance their employment, mental health, and functional outcomes. Data from two studies are used to illustrate the relationship between vocational skill-building/employment and mental health among homeless youth. The article concludes with a discussion of the implications of conducting community-based participatory employment and clinical intervention research. The author highlights the opportunities and tensions associated with this approach. PMID:24294127

  10. Using the Social Enterprise Intervention (SEI) and Individual Placement and Support (IPS) models to improve employment and clinical outcomes of homeless youth with mental illness.

    Science.gov (United States)

    Ferguson, Kristin M

    2013-09-01

    Prior research reveals high unemployment rates among homeless youth. The literature offers many examples of using evidence-informed and evidence-based supported employment models with vulnerable populations to assist them in obtaining and maintaining employment and concurrently addressing mental health challenges. However, there are few examples to date of these models with homeless youth with mental illness. The purpose of this article was thus to describe a methodology for establishing a university-agency research partnership to design, implement, evaluate, and replicate evidence-informed and evidence-based interventions with homeless youth with mental illness to enhance their employment, mental health, and functional outcomes. Data from two studies are used to illustrate the relationship between vocational skill-building/employment and mental health among homeless youth. The article concludes with a discussion of the implications of conducting community-based participatory employment and clinical intervention research. The author highlights the opportunities and tensions associated with this approach.

  11. Who will have Sustainable Employment After a Back Injury? The Development of a Clinical Prediction Model in a Cohort of Injured Workers.

    Science.gov (United States)

    Shearer, Heather M; Côté, Pierre; Boyle, Eleanor; Hayden, Jill A; Frank, John; Johnson, William G

    2016-11-02

    Purpose Our objective was to develop a clinical prediction model to identify workers with sustainable employment following an episode of work-related low back pain (LBP). Methods We used data from a cohort study of injured workers with incident LBP claims in the USA to predict employment patterns 1 and 6 months following a workers' compensation claim. We developed three sequential models to determine the contribution of three domains of variables: (1) basic demographic/clinical variables; (2) health-related variables; and (3) work-related factors. Multivariable logistic regression was used to develop the predictive models. We constructed receiver operator curves and used the c-index to measure predictive accuracy. Results Seventy-nine percent and 77 % of workers had sustainable employment at 1 and 6 months, respectively. Sustainable employment at 1 month was predicted by initial back pain intensity, mental health-related quality of life, claim litigation and employer type (c-index = 0.77). At 6 months, sustainable employment was predicted by physical and mental health-related quality of life, claim litigation and employer type (c-index = 0.77). Adding health-related and work-related variables to models improved predictive accuracy by 8.5 and 10 % at 1 and 6 months respectively. Conclusion We developed clinically-relevant models to predict sustainable employment in injured workers who made a workers' compensation claim for LBP. Inquiring about back pain intensity, physical and mental health-related quality of life, claim litigation and employer type may be beneficial in developing programs of care. Our models need to be validated in other populations.

  12. Multiple Imputation Strategies for Multiple Group Structural Equation Models

    Science.gov (United States)

    Enders, Craig K.; Gottschall, Amanda C.

    2011-01-01

    Although structural equation modeling software packages use maximum likelihood estimation by default, there are situations where one might prefer to use multiple imputation to handle missing data rather than maximum likelihood estimation (e.g., when incorporating auxiliary variables). The selection of variables is one of the nuances associated…

  13. A Model Psychoeducation Group for Shy College Students.

    Science.gov (United States)

    Martin, Virginia; Thomas, M. Carolyn

    2000-01-01

    Considers the planning, organizing, and conducting of a proposed model for shy college students. Offers several recommendations for educators and counselors on early identification of shy students, the design of educational environments to enhance development, and further research to answer questions about efficacy of treatment modes. (Author/JDM)

  14. Quantum groups as generalized gauge symmetries in WZNW models. Part I. The classical model

    Science.gov (United States)

    Hadjiivanov, L.; Furlan, P.

    2017-07-01

    Wess-Zumino-Novikov-Witten (WZNW) models over compact Lie groups G constitute the best studied class of (two dimensional, 2 D) rational conformal field theories (RCFTs). A WZNW chiral state space is a finite direct sum of integrable representations of the corresponding affine (current) algebra, and the correlation functions of primary fields are monodromy invariant combinations of left times right sector conformal blocks solving the Knizhnik-Zamolodchikov equation. However, even in this very well understood case of 2 D RCFT, the "internal" (gauge) symmetry that governs the ensuing fusion rules remains unclear. On the other hand, the canonical approach to the classical chiral WZNW theory developed by Faddeev, Alekseev, Shatashvili, Gawedzki and Falceto reveals its Poisson-Lie symmetry. After a covariant quantization, the latter gives rise to an associated quantum group symmetry which naturally requires an extension of the state space. This paper contains a review of earlier work on the subject with a special emphasis, in the case G = SU( n), on the emerging chiral "WZNW zero modes" which provide an adequate algebraic description of the internal symmetry structure of the model. Combining further left and right zero modes, one obtains a specific dynamical quantum group, the structure of its Fock representation resembling the axiomatic approach to gauge theories in which a "restricted" quantum group plays the role of a generalized gauge symmetry.

  15. 大学生就业困难群体帮扶工作的实践与思考%Students Work in Helping Disadvantaged Groups Employment Practice and Thinking

    Institute of Scientific and Technical Information of China (English)

    李群如

    2011-01-01

    To improve college students' employment difficult groups supporting work quality and efficiency,is the current college one of the solved urgently difficult problem.This paper wield "Green corridor" employment of constructing exploration and practice,Basing on the multiple platforms,Solving the employment difficulty pertinently of the students' individual,have obtained better supporting effect.%提高大学生就业困难群体帮扶工作的质量和效率,是当前高校急需解决的难点问题之一。本文通过"就业绿色走廊"构建的探索与实践,在多个平台基础上,针对性地解决就业困难学生的个性化问题,取得了较好的帮扶效果。

  16. 典型低收入群体就业状况的调查与分析%An investigation and an analysis:employment of several typical low-income groups

    Institute of Scientific and Technical Information of China (English)

    廖文; 陈成文

    2014-01-01

    It is one of the important goals of the reform of employment system to improve the people’s livelihood of employment of low-income groups. The empirical results are as follows:Firstly, the situation of low-income groups is not good in employment. Secondly, the low-income groups have more job opportunities if they can work away from home. Thirdly, the low-income groups have a strong demand for employment training services, because of lacking of human capital. Fourthly, the low-income groups have stronger entrepreneurial aspirations and a strong demand for loans from bank. This implies that the china’s employment system reform has not meet the basic needs of low-income groups. Therefore, it is imperative to further promote the reform of employment system.%改善低收入群体的就业状况是推进就业体制改革的重要目标。实证研究结果表明:第一,低收入群体的就业状况不容乐观,主要表现在低收入群体就业机会相对较少、就业质量相对较低、就业保障缺乏等方面;第二,到异地就业的低收入群体的就业机会有较大幅度的增加;第三,低收入群体由于人力资本匮乏,在劳动力市场中处于弱势地位,因而他们对就业培训服务有很强烈的需求;第四,低收入群体有较强的创业愿望,但是由于金融资本严重不足,他们对银行贷款有强烈的需求。这就是说,我国就业体制改革尚未达到改善低收入群体就业状况的目的。因此,进一步推进就业体制改革,势在必行。一是要推动农业产业化发展,实现工业从城市向农村转移;二是要健全政府促进就业的保障机制。

  17. A Model of Alcohol Drinking under an Intermittent Access Schedule Using Group-Housed Mice

    Science.gov (United States)

    Smutek, Magdalena; Turbasa, Mateusz; Sikora, Magdalena; Piechota, Marcin; Zajdel, Joanna; Przewlocki, Ryszard; Parkitna, Jan Rodriguez

    2014-01-01

    Here, we describe a new model of voluntary alcohol drinking by group-housed mice. The model employs sensor-equipped cages that track the behaviors of the individual animals via implanted radio chips. After the animals were allowed intermittent access to alcohol (three 24 h intervals every week) for 4 weeks, the proportions of licks directed toward bottles containing alcohol were 50.9% and 39.6% for the male and female mice, respectively. We used three approaches (i.e., quinine adulteration, a progressive ratio schedule and a schedule involving a risk of punishment) to test for symptoms of compulsive alcohol drinking. The addition of 0.01% quinine to the alcohol solution did not significantly affect intake, but 0.03% quinine induced a greater than 5-fold reduction in the number of licks on the alcohol bottles. When the animals were required to perform increasing numbers of instrumental responses to obtain access to the bottle with alcohol (i.e., a progressive ratio schedule), they frequently reached a maximum of 21 responses irrespective of the available reward. Although the mice rarely achieved higher response criteria, the number of attempts was ∼10 times greater in case of alcohol than water. We have developed an approach for mapping social interactions among animals that is based on analysis of the sequences of entries into the cage corners. This approach allowed us to identify the mice that followed other animals in non-random fashions. Approximately half of the mice displayed at least one interaction of this type. We have not yet found a clear correlation between imitative behavior and relative alcohol preference. In conclusion, the model we describe avoids the limitations associated with testing isolated animals and reliably leads to stable alcohol drinking. Therefore, this model may be well suited to screening for the effects of genetic mutations or pharmacological treatments on alcohol-induced behaviors. PMID:24804807

  18. Supported employment: randomised controlled trial*

    Science.gov (United States)

    Howard, Louise M.; Heslin, Margaret; Leese, Morven; McCrone, Paul; Rice, Christopher; Jarrett, Manuela; Spokes, Terry; Huxley, Peter; Thornicroft, Graham

    2010-01-01

    Background There is evidence from North American trials that supported employment using the individual placement and support (IPS) model is effective in helping individuals with severe mental illness gain competitive employment. There have been few trials in other parts of the world. Aims To investigate the effectiveness and cost-effectiveness of IPS in the UK. Method Individuals with severe mental illness in South London were randomised to IPS or local traditional vocational services (treatment as usual) (ISRCTN96677673). Results Two hundred and nineteen participants were randomised, and 90% assessed 1 year later. There were no significant differences between the treatment as usual and intervention groups in obtaining competitive employment (13% in the intervention group and 7% in controls; risk ratio 1.35, 95% CI 0.95–1.93, P = 0.15), nor in secondary outcomes. Conclusions There was no evidence that IPS was of significant benefit in achieving competitive employment for individuals in South London at 1-year follow-up, which may reflect suboptimal implementation. Implementation of IPS can be challenging in the UK context where IPS is not structurally integrated with mental health services, and economic disincentives may lead to lower levels of motivation in individuals with severe mental illness and psychiatric professionals. PMID:20435968

  19. Soldiers’ employment attitude and employability: An exploratory study

    Directory of Open Access Journals (Sweden)

    Peng Gao

    2015-04-01

    Full Text Available Purpose: Nowadays it is very difficult for Chinese retired soldiers to find proper jobs, and the primary reason is the significant gap between job requirements and soldiers owned job skills. Therefore, it is very important to improve the soldiers’ job skills and enhance their understanding of employment.Design/methodology/approach: This paper expands the study scope from the soldiers’ job skills to the employability, initiatively introduces the employment attitude which has obvious impact on the employment of soldiers, and analyses the influence that employment attitude can play on employability. At last, this paper develops statistical method to find the relationship between soldiers’ employment attitude and employability.Findings: The empirical analysis shows that soldiers’ employment attitude has the positive linkage with employability, which makes the employment attitude a measurable variable for the employability rather than an absolute standard.Research limitations/implications: According to the research purpose, more variables should be considered in the model, consequently, there are only three indicators to describe solders’ employment attitude and four indicators to describe solders’ employability.Originality/value: This paper takes research on soldiers’ employability in a new perspective. The soldiers’ employment attitude is served as the entry point, showing the influence that soldiers’ employment attitude has on employability.

  20. Phenomenological Modelling of a Group of Eclipsing Binary Stars

    Science.gov (United States)

    Andronov, Ivan L.; Tkachenko, Mariia G.; Chinarova, Lidia L.

    2016-03-01

    Phenomenological modeling of variable stars allows determination of a set of the parameters, which are needed for classification in the "General Catalogue of Variable Stars" and similar catalogs. We apply a recent method NAV ("New Algol Variable") to eclipsing binary stars of different types. Although all periodic functions may be represented as Fourier series with an infinite number of coefficients, this is impossible for a finite number of the observations. Thus one may use a restricted Fourier series, i.e. a trigonometric polynomial (TP) of order s either for fitting the light curve, or to make a periodogram analysis. However, the number of parameters needed drastically increases with decreasing width of minimum. In the NAV algorithm, the special shape of minimum is used, so the number of parameters is limited to 10 (if the period and initial epoch are fixed) or 12 (not fixed). We illustrate the NAV method by application to a recently discovered Algol-type eclipsing variable 2MASS J11080308-6145589 (in the field of previously known variable star RS Car) and compare results to that obtained using the TP fits. For this system, the statistically optimal number of parameters is 44, but the fit is still worse than that of the NAV fit. Application to the system GSC 3692-00624 argues that the NAV fit is better than the TP one even for the case of EW-type stars with much wider eclipses. Model parameters are listed.

  1. A PATH-DEPENDENT MODEL OF INVESTMENT AND EMPLOYMENT FLOW IN A LARGE ECONOMY IN A PROCESS OF INTEGRATION

    Institute of Scientific and Technical Information of China (English)

    LIU An-guo; YANG Kai-zhong

    2004-01-01

    This paper meant to analyze the spatial evolution of a large country in its process of integration with the world economy in general, and, to look into the possible effect of China's accession into WTO on the future development of its spatial economy in particular. Through an approach of increasing returns, external economy, product differentiation and path-dependence, with foreign trade costs incurred by different regions within the large country discriminated, a model of investment and employment flow is developed as a simulation of a large country's process of integration with the world economy. The modeling indicates that in the process of integration, as there exist differences in foreign trade costs among different regions within the large country, either the spatial economy of the country deviates from its symmetric structure in autarky and falls into a core-periphery relationship, or the effect of industrial agglomeration is reinforced, amplified and locked in, if the agglomeration had been started. The economic gap on either the aggregate or structural basis between different regions within the large country will increase rapidly as the integration proceeds.

  2. Thermodynamic Modeling of Organic-Inorganic Aerosols with the Group-Contribution Model AIOMFAC

    Science.gov (United States)

    Zuend, A.; Marcolli, C.; Luo, B. P.; Peter, T.

    2009-04-01

    Liquid aerosol particles are - from a physicochemical viewpoint - mixtures of inorganic salts, acids, water and a large variety of organic compounds (Rogge et al., 1993; Zhang et al., 2007). Molecular interactions between these aerosol components lead to deviations from ideal thermodynamic behavior. Strong non-ideality between organics and dissolved ions may influence the aerosol phases at equilibrium by means of liquid-liquid phase separations into a mainly polar (aqueous) and a less polar (organic) phase. A number of activity models exists to successfully describe the thermodynamic equilibrium of aqueous electrolyte solutions. However, the large number of different, often multi-functional, organic compounds in mixed organic-inorganic particles is a challenging problem for the development of thermodynamic models. The group-contribution concept as introduced in the UNIFAC model by Fredenslund et al. (1975), is a practical method to handle this difficulty and to add a certain predictability for unknown organic substances. We present the group-contribution model AIOMFAC (Aerosol Inorganic-Organic Mixtures Functional groups Activity Coefficients), which explicitly accounts for molecular interactions between solution constituents, both organic and inorganic, to calculate activities, chemical potentials and the total Gibbs energy of mixed systems (Zuend et al., 2008). This model enables the computation of vapor-liquid (VLE), liquid-liquid (LLE) and solid-liquid (SLE) equilibria within one framework. Focusing on atmospheric applications we considered eight different cations, five anions and a wide range of alcohols/polyols as organic compounds. With AIOMFAC, the activities of the components within an aqueous electrolyte solution are very well represented up to high ionic strength. We show that the semi-empirical middle-range parametrization of direct organic-inorganic interactions in alcohol-water-salt solutions enables accurate computations of vapor-liquid and liquid

  3. 团体咨询在大学生就业心理辅导中的应用%The Application of Group Counseling in the Employment Psychological Counseling of University Students

    Institute of Scientific and Technical Information of China (English)

    陈元鲲

    2014-01-01

    Higher education maintains a rapid growth in recent years, leading to an increasing number of graduates, so the em-ployment competition is increasingly severe, but whether univer-sity students can successfully find jobs relates to social harmony and stability. University students' employment psychology is the inner reason influencing their employment. During university pe-riod, university students mostly take part in group activities, and they pay more attention to their contemporaries' views, which creates their strong willing of interpersonal communication and participation in group activities. Therefore, group counseling has incomparable advantages. Through analyzing the current situation of university students' psychological problems in employment and the status of group counseling application, this paper further ex-plored the application of group counseling in solving university students' psychological problems in employment, which is of im-portant theoretical and practical significance to the perfection of university students' psychological health education, the promotion of their successful and full employment, and the construction of a harmonious society.%近年来,高等教育保持了高速增长,毕业生数量日益增长,就业竞争愈加激烈,大学生能否顺利、充分就业关系到社会和谐稳定。大学生就业心理是影响其就业的重要内在原因。大学生在校期间多以团体为单位活动,更重视同龄人的看法,大学生有较强的人际交往意愿,乐于参与团体。因此,团体咨询具有不可比拟的优点。本文通过分析当前大学生就业心理问题、团体咨询的应用现状,进一步探索团体咨询在解决大学生就业心理问题中的应用,对于完善大学生心理健康教育,促进其顺利、充分就业,对于构建和谐社会具有重要的理论和实践意义。

  4. Modeling platinum group metal complexes in aqueous solution.

    Science.gov (United States)

    Lienke, A; Klatt, G; Robinson, D J; Koch, K R; Naidoo, K J

    2001-05-07

    We construct force fields suited for the study of three platinum group metals (PGM) as chloranions in aqueous solution from quantum chemical computations and report experimental data. Density functional theory (DFT) using the local density approximation (LDA), as well as extended basis sets that incorporate relativistic corrections for the transition metal atoms, has been used to obtain equilibrium geometries, harmonic vibrational frequencies, and atomic charges for the complexes. We found that DFT calculations of [PtCl(6)](2-).3H(2)O, [PdCl(4)](2-).2H(2)O, and [RhCl(6)](3-).3H(2)O water clusters compared well with molecular mechanics (MM) calculations using the specific force field developed here. The force field performed equally well in condensed phase simulations. A 500 ps molecular dynamics (MD) simulation of [PtCl(6)](2-) in water was used to study the structure of the solvation shell around the anion. The resulting data were compared to an experimental radial distribution function derived from X-ray diffraction experiments. We found the calculated pair correlation functions (PCF) for hexachloroplatinate to be in good agreement with experiment and were able to use the simulation results to identify and resolve two water-anion peaks in the experimental spectrum.

  5. Try to talk about career guidance in promoting vocational medical professional obtain employment difficult groups the role and importance of employment work%试论职业指导促进高职高专医学专业就业困难群体就业的作用和重要性

    Institute of Scientific and Technical Information of China (English)

    丁丁

    2014-01-01

    The causes of higher vocational college medical professional obtain employment difficult group is a multi-level and multi-dimensional. Graduates should establish scientific,are greatly changing employment idea,strive to improve the overall quality,promote the competitiveness of the employment,at the same time,the school should stick to implement the personalized graduates employment guidance to effectively solve the problem of vocational medical students' employment.%造成高职高专医学专业就业困难群体的原因是多层次、多方面的。毕业生应树立科学就业观,转变就业观念,努力提高综合素质,提升就业竞争力;同时,学校应坚持贯彻毕业生就业个体化指导,才能有效解决高职高专医学专业学生就业难的问题。

  6. Response Grouping in the Psychological Refractory Period (PRP) Paradigm: Models and Contamination Effects

    Science.gov (United States)

    Ulrich, Rolf; Miller, Jeff

    2008-01-01

    Response grouping is a ubiquitous phenomenon in psychological refractory period (PRP) tasks, yet it hampers the analysis of dual-task performance. To account for response grouping, we developed several extended versions of the standard bottleneck model, each of which incorporates a possible grouping mechanism into this model. Computer simulations…

  7. Development of an adolescent inpatient sexual abuse group: application of Lewin's model of change.

    Science.gov (United States)

    Riddle, C R

    1994-01-01

    The development and implementation of an adolescent sexual abuse group on an inpatient psychiatric unit is described. Steps of Kurt Lewin's model of change are used as a framework for this planned change. Specific issues concerning group procedure and process are detailed. Recommendations for this group and broader use of the Lewin model are included.

  8. Coagulation-Fragmentation Model for Animal Group-Size Statistics

    Science.gov (United States)

    Degond, Pierre; Liu, Jian-Guo; Pego, Robert L.

    2017-04-01

    We study coagulation-fragmentation equations inspired by a simple model proposed in fisheries science to explain data for the size distribution of schools of pelagic fish. Although the equations lack detailed balance and admit no H-theorem, we are able to develop a rather complete description of equilibrium profiles and large-time behavior, based on recent developments in complex function theory for Bernstein and Pick functions. In the large-population continuum limit, a scaling-invariant regime is reached in which all equilibria are determined by a single scaling profile. This universal profile exhibits power-law behavior crossing over from exponent -2/3 for small size to -3/2 for large size, with an exponential cutoff.

  9. Coagulation-Fragmentation Model for Animal Group-Size Statistics

    Science.gov (United States)

    Degond, Pierre; Liu, Jian-Guo; Pego, Robert L.

    2016-10-01

    We study coagulation-fragmentation equations inspired by a simple model proposed in fisheries science to explain data for the size distribution of schools of pelagic fish. Although the equations lack detailed balance and admit no H-theorem, we are able to develop a rather complete description of equilibrium profiles and large-time behavior, based on recent developments in complex function theory for Bernstein and Pick functions. In the large-population continuum limit, a scaling-invariant regime is reached in which all equilibria are determined by a single scaling profile. This universal profile exhibits power-law behavior crossing over from exponent -2/3 for small size to -3/2 for large size, with an exponential cutoff.

  10. Modeling epilepsy disparities among ethnic groups in Philadelphia, PA.

    Science.gov (United States)

    Wheeler, David C; Waller, Lance A; Elliott, John O

    2008-09-10

    The Centers for Disease Control and Prevention defined epilepsy as an emerging public health issue in a recent report and emphasized the importance of epilepsy studies in minorities and people of low socioeconomic status. Previous research has suggested that the incidence rate for epilepsy is positively associated with various measures of social and economic disadvantage. In response, we utilize hierarchical Bayesian models to analyze health disparities in epilepsy and seizure risks among multiple ethnicities in the city of Philadelphia, Pennsylvania. The goals of the analysis are to highlight any overall significant disparities in epilepsy risks between the populations of Caucasians, African Americans, and Hispanics in the study area during the years 2002--2004 and to visualize the spatial pattern of epilepsy risks by ethnicity to indicate where certain ethnic populations were most adversely affected by epilepsy within the study area. Results of the Bayesian model indicate that Hispanics have the highest epilepsy risk overall, followed by African Americans, and then Caucasians. There are significant increases in relative risk for both African Americans and Hispanics when compared with Caucasians, as indicated by the posterior mean estimates of 2.09 with a 95 per cent credible interval of (1.67, 2.62) for African Americans and 2.97 with a 95 per cent credible interval of (2.37, 3.71) for Hispanics. Results also demonstrate that using a Bayesian analysis in combination with geographic information system (GIS) technology can reveal spatial patterns in patient data and highlight areas of disparity in epilepsy risk among subgroups of the population.

  11. Frequency regulators for the nonperturbative renormalization group: A general study and the model A as a benchmark.

    Science.gov (United States)

    Duclut, Charlie; Delamotte, Bertrand

    2017-01-01

    We derive the necessary conditions for implementing a regulator that depends on both momentum and frequency in the nonperturbative renormalization-group flow equations of out-of-equilibrium statistical systems. We consider model A as a benchmark and compute its dynamical critical exponent z. This allows us to show that frequency regulators compatible with causality and the fluctuation-dissipation theorem can be devised. We show that when the principle of minimal sensitivity (PMS) is employed to optimize the critical exponents η, ν, and z, the use of frequency regulators becomes necessary to make the PMS a self-consistent criterion.

  12. Employment relations, flexibility and risk

    DEFF Research Database (Denmark)

    Jensen, Carsten Strøby

    Employment relations literature often distinguishes between social democratic/corporatist models of employment relations and liberal models of employment relations as they are seen as opposite or at least different ways of organizing labor markets. They are often characterized as having very...... different risk profiles in terms of relationships between employees, employers, and the state. Low levels of labor market regulation very often characterize the liberal models of employment relations as we know them from, for instance, the USA and the UK. This means that employment conditions are very often...... insecure and that the burden of unemployment risk mostly lies with the employees rather than the employer. Corporatist – or social democratic – employment relations models are, in contrast to the liberal models, often characterized by stricter regulation of the labor market and by high standards...

  13. Phemenological Modelling of a Group of Eclipsing Binary Stars

    CERN Document Server

    Andronov, Ivan L; Chinarova, Lidia L

    2015-01-01

    Phenomenological modeling of variable stars allows determination of a set of the parameters, which are needed for classification in the "General Catalogue of Variable Stars" and similar catalogs. We apply a recent method NAV ("New Algol Variable") to eclipsing binary stars of different types. Although all periodic functions may be represented as Fourier series with an infinite number of coefficients, this is impossible for a finite number of the observations. Thus one may use a restricted Fourier series, i.e. a trigonometric polynomial (TP) of order s either for fitting the light curve, or to make a periodogram analysis. However, the number of parameters needed drastically increases with decreasing width of minimum. In the NAV algorithm, the special shape of minimum is used, so the number of parameters is limited to 10 (if the period and initial epoch are fixed) or 12 (not fixed). We illustrate the NAV method by application to a recently discovered Algol-type eclipsing variable 2MASS J11080308-6145589 (in the...

  14. 高校大学生就业困难群体帮扶机制研究%A Research on the Aid Mechanism in Graduate Disadvantaged Groups for Employment

    Institute of Scientific and Technical Information of China (English)

    郑晓涛

    2013-01-01

    在对大学生就业困难群体进行界定的基础上,着力分析大学生就业困难群体的主要类型、特征和形成原因,提出建构经济帮扶机制、完善就业指导体系、提高就业软实力、加强心理辅导等有效策略,从而促进大学生就业困难群体顺利就业。%Based on the definition of the graduate disadvantaged groups in employment,the paper aims at analyzing the main types,characteristics and causes of the disadvantaged groups.It proposes to construct an economic aid mechanism,to improve career guidance system,to increase employment soft power,to strengthen psychological counseling and hence to promote the successful employment of disadvantaged groups.

  15. Modelling diseases with relapse and nonlinear incidence of infection: a multi-group epidemic model

    Science.gov (United States)

    Wang, Jinliang; Pang, Jingmei; Liu, Xianning

    2014-01-01

    In this paper, we introduce a basic reproduction number for a multi-group SIR model with general relapse distribution and nonlinear incidence rate. We find that basic reproduction number plays the role of a key threshold in establishing the global dynamics of the model. By means of appropriate Lyapunov functionals, a subtle grouping technique in estimating the derivatives of Lyapunov functionals guided by graph-theoretical approach and LaSalle invariance principle, it is proven that if it is less than or equal to one, the disease-free equilibrium is globally stable and the disease dies out; whereas if it is larger than one, some sufficient condition is obtained in ensuring that there is a unique endemic equilibrium which is globally stable and thus the disease persists in the population. Furthermore, our results suggest that general relapse distribution are not the reason of sustained oscillations. Biologically, our model might be realistic for sexually transmitted diseases, such as Herpes, Condyloma acuminatum, etc. PMID:24963980

  16. Modelling diseases with relapse and nonlinear incidence of infection: a multi-group epidemic model.

    Science.gov (United States)

    Wang, Jinliang; Pang, Jingmei; Liu, Xianning

    2014-01-01

    In this paper, we introduce a basic reproduction number for a multi-group SIR model with general relapse distribution and nonlinear incidence rate. We find that basic reproduction number plays the role of a key threshold in establishing the global dynamics of the model. By means of appropriate Lyapunov functionals, a subtle grouping technique in estimating the derivatives of Lyapunov functionals guided by graph-theoretical approach and LaSalle invariance principle, it is proven that if it is less than or equal to one, the disease-free equilibrium is globally stable and the disease dies out; whereas if it is larger than one, some sufficient condition is obtained in ensuring that there is a unique endemic equilibrium which is globally stable and thus the disease persists in the population. Furthermore, our results suggest that general relapse distribution are not the reason of sustained oscillations. Biologically, our model might be realistic for sexually transmitted diseases, such as Herpes, Condyloma acuminatum, etc.

  17. Disability and Supported Employment: Impact on Employment, Income, and Allowances

    Science.gov (United States)

    Germundsson, Per; Gustafsson, Johanna; Lind, Martin; Danermark, Berth

    2012-01-01

    In this article, we examine supported employment and its impact on the level of employment, disposable income, and sum of allowances, targeting a group of individuals with disabilities. We have particularly focused on individuals with psychiatric disabilities. Supported employment is a vocational rehabilitation service with an empowerment approach…

  18. Networking the seceder model: Group formation in social and economic systems

    Science.gov (United States)

    Grönlund, Andreas; Holme, Petter

    2004-09-01

    The seceder model illustrates how the desire to be different from the average can lead to formation of groups in a population. We turn the original, agent based, seceder model into a model of network evolution. We find that the structural characteristics of our model closely match empirical social networks. Statistics for the dynamics of group formation are also given. Extensions of the model to networks of companies are also discussed.

  19. Networking the seceder model: Group formation in social and economic systems

    CERN Document Server

    Grönlund, A

    2004-01-01

    The seceder model illustrates how the desire to be different than the average can lead to formation of groups in a population. We turn the original, agent based, seceder model into a model of network evolution. We find that the structural characteristics our model closely matches empirical social networks. Statistics for the dynamics of group formation are also given. Extensions of the model to networks of companies are also discussed.

  20. Systematic comparison of barriers for heavy-ion fusion calculated on the basis of the double-folding model by employing two versions of nucleon-nucleon interaction

    Science.gov (United States)

    Gontchar, I. I.; Chushnyakova, M. V.

    2016-07-01

    A systematic calculation of barriers for heavy-ion fusion was performed on the basis of the double-folding model by employing two versions of an effective nucleon-nucleon interaction: M3Y interaction and Migdal interaction. The results of calculations by the Hartree-Fockmethod with the SKX coefficients were taken for nuclear densities. The calculations reveal that the fusion barrier is higher in the case of employing theMigdal interaction than in the case of employing the M3Y interaction. In view of this, the use of the Migdal interaction in describing heavy-ion fusion is questionable.

  1. Employment models in social enterprises : does the mission matter for job quality, discrimination, and motivations of workers in low-skilled positions ?

    OpenAIRE

    2015-01-01

    Social enterprises (SEs) represent a consequent number of jobs and are being established in increasingly diverse types of industries. Besides, employers and workers are starting to structure themselves in more visible and identifiable professional organizations. In this context, the existence of a specific employment model in SEs may be discussed, particularly with regards to (low-skilled) job quality. Nowadays, this question is even of upmost importance because such organizations are more an...

  2. Black Women, Work, Stress, and Perceived Discrimination: The Focused Support Group Model as an Intervention for Stress Reduction

    Science.gov (United States)

    MAYS, VICKIE M.

    2013-01-01

    This exploratory study examined the use of two components (small and large groups) of a community-based intervention, the Focused Support Group (FSG) model, to alleviate employment-related stressors in Black women. Participants were assigned to small groups based on occupational status. Groups met for five weekly 3-hr sessions in didactic or small- and large-group formats. Two evaluations following the didactic session and the small and large group sessions elicited information on satisfaction with each of the formats, self-reported change in stress, awareness of interpersonal and sociopolitical issues affecting Black women in the labor force, assessing support networks, and usefulness of specific discussion topics to stress reduction. Results indicated the usefulness of the small- and large-group formats in reduction of self-reported stress and increases in personal and professional sources of support. Discussions on race and sex discrimination in the workplace were effective in overall stress reduction. The study highlights labor force participation as a potential source of stress for Black women, and supports the development of culture- and gender-appropriate community interventions as viable and cost-effective methods for stress reduction. PMID:9225548

  3. Group contribution modelling for the prediction of safety-related and environmental properties

    DEFF Research Database (Denmark)

    Frutiger, Jerome; Abildskov, Jens; Sin, Gürkan

    We present a new set of property prediction models based on group contributions to predict major safety-related and environmental properties for organic compounds. The predicted list of properties includes lower and upper flammability limits, heat of combustion, auto ignition temperature, global...... models like group contribution (GC) models can estimate data. However, the estimation needs to be accurate, reliable and as little time-consuming as possible so that the models can be used on the fly. In this study the Marrero and Gani group contribution (MR GC) method has been used to develop the models...... for safety-related and environmental properties. The method considers the group contribution in three levels: The contributions from a specific functional group (1st order parameters), from poly-functional (2nd order parameters) as well as from structural groups (3rd order parameters). The latter two classes...

  4. Group counseling for nursing students before negative psychological impact on employment%团体心理咨询对实习护生就业前负性心理的影响

    Institute of Scientific and Technical Information of China (English)

    廖红珍; 卢志坚; 黄萍; 杨素芬; 吴国友; 叶颜凤; 张月嫦

    2015-01-01

    Objective To investigate the group counseling on employment in nursing students before negative psy ‐chological effects . Methods Selected of 120 name internship nursing born random is divided into group and con‐trol group ,each 60 name ,group into homes internship hou application groups psychological advisory of method for training ,control group not for groups psychological advisory training ;two group are used depression since assess‐ment volume table (SDS ) ,and anxiety since assessment volume table (SAS ) and self‐confidence volume table (SES) ,on internship nursing born in for groups psychological advisory qian and groups psychological advisory training ended hou each evaluation once ,then for compared analysis . Results Study group after group counseling nursing students SDS and SAS test scores significantly lower than control group ,appeared negative psychological (SDS and SAS) significantly reduced the number of cases compared with the control group ,there was a statistically significant difference(P< 0.05) ;student practical nurses in the experimental group improved self‐confidence evalu‐ation scores than the control group ,there was a statistically significant difference (P< 0.05) . Conclusion Group counseling can effectively mitigate the negative psychology of probationer employment (anxiety and depression) and lack of self‐confidence ,improve the self‐esteem of nursing students for future employment .%目的:探讨团体心理咨询对实习护生就业前负性心理的影响。方法将120名实习护生随机分为观察组和对照组各60名 ,观察组进院实习后应用团体心理咨询的方法进行训练,对照组不进行团体心理咨询训练。两组均采用抑郁自评量表(SDS)、焦虑自评量表(SAS)和自信心量表(SES)对实习护生在心理咨询前与团体心理咨询训练结束后各测评1次,并进行对比分析。结果观察组实习护生进行团体心理咨询后 SDS

  5. Forecast model for the evaluation of economic resources employed in the health care of patients with HIV infection

    Directory of Open Access Journals (Sweden)

    Sacchi P

    2012-05-01

    Full Text Available Paolo Sacchi1, Savino FA Patruno1, Raffaele Bruno1, Serena Maria Benedetta Cima1, Pietro Previtali2, Alessia Franchini2, Luca Nicolini3, Carla Rognoni4, Lucia Sacchi5, Riccardo Bellazzi4, Gaetano Filice11Divisione di Malattie Infettive e Tropicali - Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 2Università degli Studi di Pavia – Facoltà di Economia, Pavia, Italy; 3Controllo di Gestione Fondazione IRCCS Policlinico San Matteo di Pavia, Pavia, Italy; 4Dipartimento di Informatica e Sistemistica, Universita' degli Studi di Pavia, Pavia, Italy; 5Department of Information Systems and Computing, Brunel University, London, UKBackground and aims: The total health care cost for human immunodeficiency virus (HIV patients has constantly grown in recent years. To date, there is no information about how this trend will behave over the next few years. The aim of the present study is to define a pharmacoeconomic model for the forecast of the costs of a group of chronically treated patients followed over the period 2004–2009.Methods: A pharmacoeconomics model was built to describe the probability of transition among different health states and to modify the therapy over time. A Markov model was applied to evaluate the temporal evolution of the average cost. The health care resources exploited during hospitalization were analyzed by using an “activity-based costing” method.Results: The Markov model showed that the mean total cost, after an initial increase, tended to remain stable. A total of 20 clinical records were examined. The average daily cost for each patient was EUR 484.42, with a cost for admission of EUR 6781.88.Conclusion: The treatment of HIV infection in compliance with the guidelines is also effective from the payer perspective, as it allows a good health condition to be maintained and reduces the need and the costs of hospitalizations.Keywords: health care cost, HIV, Markov model, activity-based costing

  6. The Achieving Success Everyday Group Counseling Model: Fostering Resiliency in Middle School Students

    Science.gov (United States)

    Rose, Joy; Steen, Sam

    2015-01-01

    This article discusses a group counseling intervention used to develop and foster resiliency in middle school students by implementing the Achieving Success Everyday (ASE) group counseling model. The authors aimed to discover what impact this group counseling intervention, which focused on resiliency characteristics, would have on students'…

  7. Item Construction Using Reflective, Formative, or Rasch Measurement Models: Implications for Group Work

    Science.gov (United States)

    Peterson, Christina Hamme; Gischlar, Karen L.; Peterson, N. Andrew

    2017-01-01

    Measures that accurately capture the phenomenon are critical to research and practice in group work. The vast majority of group-related measures were developed using the reflective measurement model rooted in classical test theory (CTT). Depending on the construct definition and the measure's purpose, the reflective model may not always be the…

  8. Reviewing the Role of Stakeholders in Operational Research: Opportunities for Group Model Building

    NARCIS (Netherlands)

    Gooyert, V. de; Rouwette, E.A.J.A.; Kranenburg, H.L. van

    2013-01-01

    Stakeholders have always received much attention in system dynamics, especially in the group model building tradition, which emphasizes the deep involvement of a client group in building a system dynamics model. In organizations, stakeholders are gaining more and more attention by managers who try t

  9. The Family FIRO Model: The Integration of Group Theory and Family Theory.

    Science.gov (United States)

    Colangelo, Nicholas; Doherty, William J.

    1988-01-01

    Presents the Family Fundamental Interpersonal Relations Orientation (Family FIRO) Model, an integration of small-group theory and family therapy. The model is offered as a framework for organizing family issues. Discusses three fundamental issues of human relatedness and their applicability to group dynamics. (Author/NB)

  10. The Dimensions of Social Justice Model: Transforming Traditional Group Work into a Socially Just Framework

    Science.gov (United States)

    Ratts, Manivong J.; Anthony, Loni; Santos, KristiAnna Nicole T.

    2010-01-01

    Social justice is a complex and abstract concept that can be difficult to discuss and integrate within group work. To address this concern, this article introduces readers to the Dimensions of Social Justice Model. The model provides group leaders with a conceptual framework for understanding the degree to which social justice is integrated within…

  11. Water based on a molecular model behaves like a hard-sphere solvent for a nonpolar solute when the reference interaction site model and related theories are employed

    Science.gov (United States)

    Hayashi, Tomohiko; Oshima, Hiraku; Harano, Yuichi; Kinoshita, Masahiro

    2016-09-01

    For neutral hard-sphere solutes, we compare the reduced density profile of water around a solute g(r), solvation free energy μ, energy U, and entropy S under the isochoric condition predicted by the two theories: dielectrically consistent reference interaction site model (DRISM) and angle-dependent integral equation (ADIE) theories. A molecular model for water pertinent to each theory is adopted. The hypernetted-chain (HNC) closure is employed in the ADIE theory, and the HNC and Kovalenko-Hirata (K-H) closures are tested in the DRISM theory. We also calculate g(r), U, S, and μ of the same solute in a hard-sphere solvent whose molecular diameter and number density are set at those of water, in which case the radial-symmetric integral equation (RSIE) theory is employed. The dependences of μ, U, and S on the excluded volume and solvent-accessible surface area are analyzed using the morphometric approach (MA). The results from the ADIE theory are in by far better agreement with those from computer simulations available for g(r), U, and μ. For the DRISM theory, g(r) in the vicinity of the solute is quite high and becomes progressively higher as the solute diameter d U increases. By contrast, for the ADIE theory, it is much lower and becomes further lower as d U increases. Due to unphysically positive U and significantly larger |S|, μ from the DRISM theory becomes too high. It is interesting that μ, U, and S from the K-H closure are worse than those from the HNC closure. Overall, the results from the DRISM theory with a molecular model for water are quite similar to those from the RSIE theory with the hard-sphere solvent. Based on the results of the MA analysis, we comparatively discuss the different theoretical methods for cases where they are applied to studies on the solvation of a protein.

  12. Deficiency of employability capacity

    Directory of Open Access Journals (Sweden)

    Pelse I.

    2012-10-01

    Full Text Available Young unemployed people have comprised one of the significantly largest groups of the unemployed people in Latvia in recent years. One of the reasons why young people have difficulty integrating into the labour market is the “expectation gap” that exists in the relations between employers and the new generation of workers. Employers focus on capacity-building for employability such individual factors as strength, patience, self-discipline, self-reliance, self-motivation, etc., which having a nature of habit and are developed in a long-term work socialization process, which begins even before the formal education and will continue throughout the life cycle. However, when the socialization is lost, these habits are depreciated faster than they can be restored. Currently a new generation is entering the labour market, which is missing the succession of work socialization. Factors, such as rising unemployment and poverty in the background over the past twenty years in Latvia have created a very unfavourable employability background of “personal circumstances” and “external factors”, which seriously have impaired formation of the skills and attitudes in a real work environment. The study reveals another paradox – the paradox of poverty. Common sense would want to argue that poverty can be overcome by the job. However, the real state of affairs shows that unfavourable coincidence of the individual, personal circumstances and external factors leads to deficit of employability capacity and possibility of marked social and employment deprivation.

  13. Tensor renormalization group approach to two-dimensional classical lattice models.

    Science.gov (United States)

    Levin, Michael; Nave, Cody P

    2007-09-21

    We describe a simple real space renormalization group technique for two-dimensional classical lattice models. The approach is similar in spirit to block spin methods, but at the same time it is fundamentally based on the theory of quantum entanglement. In this sense, the technique can be thought of as a classical analogue of the density matrix renormalization group method. We demonstrate the method - which we call the tensor renormalization group method - by computing the magnetization of the triangular lattice Ising model.

  14. GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media

    Science.gov (United States)

    Zhang, Chao; Zhang, Keyang; Yuan, Quan; Zhang, Luming; Hanratty, Tim; Han, Jiawei

    2017-01-01

    Understanding human mobility is of great importance to various applications, such as urban planning, traffic scheduling, and location prediction. While there has been fruitful research on modeling human mobility using tracking data (e.g., GPS traces), the recent growth of geo-tagged social media (GeoSM) brings new opportunities to this task because of its sheer size and multi-dimensional nature. Nevertheless, how to obtain quality mobility models from the highly sparse and complex GeoSM data remains a challenge that cannot be readily addressed by existing techniques. We propose GMove, a group-level mobility modeling method using GeoSM data. Our insight is that the GeoSM data usually contains multiple user groups, where the users within the same group share significant movement regularity. Meanwhile, user grouping and mobility modeling are two intertwined tasks: (1) better user grouping offers better within-group data consistency and thus leads to more reliable mobility models; and (2) better mobility models serve as useful guidance that helps infer the group a user belongs to. GMove thus alternates between user grouping and mobility modeling, and generates an ensemble of Hidden Markov Models (HMMs) to characterize group-level movement regularity. Furthermore, to reduce text sparsity of GeoSM data, GMove also features a text augmenter. The augmenter computes keyword correlations by examining their spatiotemporal distributions. With such correlations as auxiliary knowledge, it performs sampling-based augmentation to alleviate text sparsity and produce high-quality HMMs. Our extensive experiments on two real-life data sets demonstrate that GMove can effectively generate meaningful group-level mobility models. Moreover, with context-aware location prediction as an example application, we find that GMove significantly outperforms baseline mobility models in terms of prediction accuracy.

  15. GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media.

    Science.gov (United States)

    Zhang, Chao; Zhang, Keyang; Yuan, Quan; Zhang, Luming; Hanratty, Tim; Han, Jiawei

    2016-08-01

    Understanding human mobility is of great importance to various applications, such as urban planning, traffic scheduling, and location prediction. While there has been fruitful research on modeling human mobility using tracking data (e.g., GPS traces), the recent growth of geo-tagged social media (GeoSM) brings new opportunities to this task because of its sheer size and multi-dimensional nature. Nevertheless, how to obtain quality mobility models from the highly sparse and complex GeoSM data remains a challenge that cannot be readily addressed by existing techniques. We propose GMove, a group-level mobility modeling method using GeoSM data. Our insight is that the GeoSM data usually contains multiple user groups, where the users within the same group share significant movement regularity. Meanwhile, user grouping and mobility modeling are two intertwined tasks: (1) better user grouping offers better within-group data consistency and thus leads to more reliable mobility models; and (2) better mobility models serve as useful guidance that helps infer the group a user belongs to. GMove thus alternates between user grouping and mobility modeling, and generates an ensemble of Hidden Markov Models (HMMs) to characterize group-level movement regularity. Furthermore, to reduce text sparsity of GeoSM data, GMove also features a text augmenter. The augmenter computes keyword correlations by examining their spatiotemporal distributions. With such correlations as auxiliary knowledge, it performs sampling-based augmentation to alleviate text sparsity and produce high-quality HMMs. Our extensive experiments on two real-life data sets demonstrate that GMove can effectively generate meaningful group-level mobility models. Moreover, with context-aware location prediction as an example application, we find that GMove significantly outperforms baseline mobility models in terms of prediction accuracy.

  16. Seeking a Game in which the standard model Group shall Win

    CERN Document Server

    Bennett, Don

    2013-01-01

    It is attempted to construct a group-dependent quantity that could be used to single out the Standard Model group S(U(2) x U(3)) as being the "winner" by this quantity being the biggest possible for just the Standard Model group. The suggested quantity is first of all based on the inverse quadratic Cassimir for the fundamental or better smallest faithful representation in a notation in which the adjoint representation quadratic Cassimir is normalized to unity. Then a further correction is added to help the wanted Standard Model group to win and the rule comes even to involve the Abelian group U(1) to be multiplied into the group to get this correction be allowed. The scheme is suggestively explained to have some physical interpretation(s). By some appropriate proceedure for extending the group dependent quantity to groups that are not simple we find a way to make the Standard Model Group the absolute "winner". Thus we provide an indication for what could be the reason for the Standard Model Group having been ...

  17. Purpurogallin, a Natural Phenol, Attenuates High-Mobility Group Box 1 in Subarachnoid Hemorrhage Induced Vasospasm in a Rat Model

    Directory of Open Access Journals (Sweden)

    Chih-Zen Chang

    2014-01-01

    Full Text Available High-mobility group box 1 (HMGB1 was shown to be an important extracellular mediator involved in vascular inflammation of animals following subarachnoid hemorrhage (SAH. This study is of interest to examine the efficacy of purpurogallin, a natural phenol, on the alternation of cytokines and HMGB1 in a SAH model. A rodent double hemorrhage SAH model was employed. Basilar arteries (BAs were harvested to examine HMGB1 mRNA and protein expression (Western blot. CSF samples were to examine IL-1β, IL-6, IL-8, and TNF-α (rt-PCR. Deformed endothelial wall, tortuous elastic lamina, and necrotic smooth muscle were observed in the vessels of SAH groups but were absent in the purpurogallin group. IL-1β, IL-6, and TNF-α in the SAH only and SAH plus vehicle groups were significantly elevated (P<0.01. Purpurgallin dose-dependently reduced HMGB1 protein expression. Likewise, high dose purpurogallin reduced TNF-α and HMGB1 mRNA levels. In conclusion, purpurogallin exerts its neuroinflammation effect through the dual effect of inhibiting IL-6 and TNF-α mRNA expression and reducing HMGB1 protein and mRNA expression. This study supports purpurogallin could attenuate both proinflammatory cytokines and late-onset inflammasome in SAH induced vasospasm.

  18. The Employment of spatial autoregressive models in predicting demand for natural gas; O Emprego de modelos auto-regressivos espaciais na previsao de demanda para gas natural

    Energy Technology Data Exchange (ETDEWEB)

    Castro, Jorge Henrique de [Petroleo Brasileiro S.A. (PETROBRAS), Rio de Janeiro, RJ (Brazil); Silva, Alexandre Pinto Alves da [Coordenacao dos Programas de Pos-Graduacao de Engenharia (COPPE/UFRJ), RJ (Brazil). Programa de Engenharia Eletrica

    2010-07-01

    Develop the natural gas network is critical success factor for the distribution company. It is a decision that employs the demand given location 'x' and a future time 't' so that the net allows the best conditions for the return of the capital. In this segment, typical network industry, the spatial infra-structure vision associated to the market allows better evaluation of the business because to mitigate costs and risks. In fact, economic models little developed in order to assess the question of the location, due to its little employment by economists. The objective of this article is to analyze the application of spatial perspective in natural gas demand forecasting and to identify the models that can be employed observing issues of dependency and spatial heterogeneity; as well as the capacity of mapping of variables associated with the problem. (author)

  19. Reconstruction of social group networks from friendship networks using a tag-based model

    Science.gov (United States)

    Guan, Yuan-Pan; You, Zhi-Qiang; Han, Xiao-Pu

    2016-12-01

    Social group is a type of mesoscopic structure that connects human individuals in microscopic level and the global structure of society. In this paper, we propose a tag-based model considering that social groups expand along the edge that connects two neighbors with a similar tag of interest. The model runs on a real-world friendship network, and its simulation results show that various properties of simulated group network can well fit the empirical analysis on real-world social groups, indicating that the model catches the major mechanism driving the evolution of social groups and successfully reconstructs the social group network from a friendship network and throws light on digging of relationships between social functional organizations.

  20. A Discrete Heterogeneous-Group Economic Growth Model with Endogenous Leisure Time

    Directory of Open Access Journals (Sweden)

    Wei-Bin Zhang

    2009-01-01

    Full Text Available This paper proposes a one-sector multigroup growth model with endogenous labor supply in discrete time. Proposing an alternative approach to behavior of households, we examine the dynamics of wealth and income distribution in a competitive economy with capital accumulation as the main engine of economic growth. We show how human capital levels, preferences, and labor force of heterogeneous households determine the national economic growth, wealth, and income distribution and time allocation of the groups. By simulation we demonstrate, for instance, that in the three-group economy when the rich group's human capital is improved, all the groups will economically benefit, and the leisure times of all the groups are reduced but when any other group's human capital is improved, the group will economically benefit, the other two groups economically lose, and the leisure times of all the groups are increased.

  1. To eat and not be eaten: modelling resources and safety in multi-species animal groups.

    Directory of Open Access Journals (Sweden)

    Umesh Srinivasan

    Full Text Available Using mixed-species bird flocks as an example, we model the payoffs for two types of species from participating in multi-species animal groups. Salliers feed on mobile prey, are good sentinels and do not affect prey capture rates of gleaners; gleaners feed on prey on substrates and can enhance the prey capture rate of salliers by flushing prey, but are poor sentinels. These functional types are known from various animal taxa that form multi-species associations. We model costs and benefits of joining groups for a wide range of group compositions under varying abundances of two types of prey-prey on substrates and mobile prey. Our model predicts that gleaners and salliers show a conflict of interest in multi-species groups, because gleaners benefit from increasing numbers of salliers in the group, whereas salliers benefit from increasing gleaner numbers. The model also predicts that the limits to size and variability in composition of multi-species groups are driven by the relative abundance of different types of prey, independent of predation pressure. Our model emphasises resources as a primary driver of temporal and spatial group dynamics, rather than reproductive activity or predation per se, which have hitherto been thought to explain patterns of multi-species group formation and cohesion. The qualitative predictions of the model are supported by empirical patterns from both terrestrial and marine multi-species groups, suggesting that similar mechanisms might underlie group dynamics in a range of taxa. The model also makes novel predictions about group dynamics that can be tested using variation across space and time.

  2. Theoretical study of γ-hexachlorocyclohexane and β-hexachlorocyclohexane isomers interaction with surface groups of activated carbon model.

    Science.gov (United States)

    Enriquez-Victorero, Carlos; Hernández-Valdés, Daniel; Montero-Alejo, Ana Lilian; Durimel, Axelle; Gaspard, Sarra; Jáuregui-Haza, Ulises

    2014-06-01

    Activated carbon (AC) is employed in drinking water purification without almost any knowledge about the adsorption mechanism of persistent organic pollutants (POPs) onto it. Hexachlorocyclohexane (HCH) is an organochlorinated contaminant present in water and soils of banana crops production zones of the Caribbean. The most relevant isomers of HCH are γ-HCH and β-HCH, both with great environmental persistence. A theoretical study of the influence of AC surface groups (SGs) on HCH adsorption is done in order to help to understand the process and may lead to improve the AC selection process. A simplified AC model consisting of naphthalene with a functional group was used to assess the influence of SGs over the adsorption process. The Multiple Minima Hypersurface (MMH) methodology was employed to study γ-HCH and β-HCH interactions with different AC SGs (hydroxyl and carboxyl) under different hydration and pH conditions. The results obtained showed that association of HCH with SGs preferentially occurs between the axial protons of HCH and SG's oxygen atom, and the most favorable interactions occurring with charged SGs. An increase in carboxylic SGs content is proposed to enhance HCH adsorption onto AC under neutral pH conditions. Finally, this work presents an inexpensive computer aided methodology for preselecting activated carbon SGs content for the removal of a given compound.

  3. Preparing At-Risk Youth for a Changing World: Revisiting a Person-in-Context Model for Transition to Employment

    Science.gov (United States)

    DeLuca, Christopher; Godden, Lorraine; Hutchinson, Nancy L.; Versnel, Joan

    2015-01-01

    Background: The current global cohort of youth has been called "a generation at-risk", marked by a dramatic rise in youth who are not in employment, education or training programmes. In 2010, youth were three times as likely as adults to be unemployed, with youth unemployment worsening in 2012 and 2013. Accordingly, there is an urgent…

  4. A new group contribution-based model for estimation of lower flammability limit of pure compounds.

    Science.gov (United States)

    Gharagheizi, Farhad

    2009-10-30

    In the present study, a new method is presented for estimation of lower flammability limit (LFL) of pure compounds. This method is based on a combination of a group contribution method and neural networks. The parameters of the model are the occurrences of a new collection of 105 functional groups. Basing on these 105 functional groups, a feed forward neural network is presented to estimate the LFL of pure compounds. The average absolute deviation error obtained over 1057 pure compounds is 4.62%. Therefore, the model is an accurate model and can be used to predict the LFL of a wide range of pure compounds.

  5. Using multiple group modeling to test moderators in meta-analysis.

    Science.gov (United States)

    Schoemann, Alexander M

    2016-12-01

    Meta-analysis is a popular and flexible analysis that can be fit in many modeling frameworks. Two methods of fitting meta-analyses that are growing in popularity are structural equation modeling (SEM) and multilevel modeling (MLM). By using SEM or MLM to fit a meta-analysis researchers have access to powerful techniques associated with SEM and MLM. This paper details how to use one such technique, multiple group analysis, to test categorical moderators in meta-analysis. In a multiple group meta-analysis a model is fit to each level of the moderator simultaneously. By constraining parameters across groups any model parameter can be tested for equality. Using multiple groups to test for moderators is especially relevant in random-effects meta-analysis where both the mean and the between studies variance of the effect size may be compared across groups. A simulation study and the analysis of a real data set are used to illustrate multiple group modeling with both SEM and MLM. Issues related to multiple group meta-analysis and future directions for research are discussed. Copyright © 2016 John Wiley & Sons, Ltd.

  6. A tensorial approach to the inversion of group-based phylogenetic models.

    Science.gov (United States)

    Sumner, Jeremy G; Jarvis, Peter D; Holland, Barbara R

    2014-12-04

    Hadamard conjugation is part of the standard mathematical armoury in the analysis of molecular phylogenetic methods. For group-based models, the approach provides a one-to-one correspondence between the so-called "edge length" and "sequence" spectrum on a phylogenetic tree. The Hadamard conjugation has been used in diverse phylogenetic applications not only for inference but also as an important conceptual tool for thinking about molecular data leading to generalizations beyond strictly tree-like evolutionary modelling. For general group-based models of phylogenetic branching processes, we reformulate the problem of constructing a one-one correspondence between pattern probabilities and edge parameters. This takes a classic result previously shown through use of Fourier analysis and presents it in the language of tensors and group representation theory. This derivation makes it clear why the inversion is possible, because, under their usual definition, group-based models are defined for abelian groups only. We provide an inversion of group-based phylogenetic models that can implemented using matrix multiplication between rectangular matrices indexed by ordered-partitions of varying sizes. Our approach provides additional context for the construction of phylogenetic probability distributions on network structures, and highlights the potential limitations of restricting to group-based models in this setting.

  7. Modeling Mixed Groups of Humans and Robots with Reflexive Game Theory

    Science.gov (United States)

    Tarasenko, Sergey

    The Reflexive Game Theory is based on decision-making principles similar to the ones used by humans. This theory considers groups of subjects and allows to predict which action from the set each subject in the group will choose. It is possible to influence subject's decision in a way that he will make a particular choice. The purpose of this study is to illustrate how robots can refrain humans from risky actions. To determine the risky actions, the Asimov's Three Laws of robotics are employed. By fusing the RGT's power to convince humans on the mental level with Asimov's Laws' safety, we illustrate how robots in the mixed groups of humans and robots can influence on human subjects in order to refrain humans from risky actions. We suggest that this fusion has a potential to device human-like motor behaving and looking robots with the human-like decision-making algorithms.

  8. Ekperimentasi Model Pembelajaran Discovery dan Group Investigation Terhadap Prestasi Belajar Matematika Ditinjau dari Kreativitas Siswa

    Directory of Open Access Journals (Sweden)

    Ira Vahlia

    2014-12-01

    Full Text Available The aim of the research was to determine the effect of  learning models on mathematics achievement viewed from the student creativity. The learning model compared were discovery, group investigation and conventional. The type of the research was a quasi-experimental research. The population was the students of Junior High Schoolin Surakarta city on academic year 2012/2013. The samples of this research were taken by using the stratified cluster random sampling technique. The samples consist of 281 students who were divided into 94 students in the first experiment class, 94 students in the second experiment class, and 93 students in the control class. The results of this research are as follows: (1 the discovery learning model results in better learning achievement than the group investigation and conventional learning model. The group investigation learning model results in an equal learning achievement to the conventional learning model, (2 the students having high level of creativity have better learning achievement than those having medium and low levels of creativity. The students having medium level of creativity have an equal learning achievement to those having low level of creativity, (3 on the discovery learning model, students having high creativity have better learning achievement than those having medium and low levels of creativity and students having medium level of creativity have an equal learning achievement to those having low creativity. On the group investigation model, students in each level of creativity have the same learning achievement, (4 the students who were tought with the discovery learning model have better learning achievement than those taught with the group investigation and conventional learning model in the category of having high level of creativity. The students who were tought group investigation and conventional model results in an equal learning achievement in the category of having high level of

  9. A consensus reaching model for 2-tuple linguistic multiple attribute group decision making with incomplete weight information

    Science.gov (United States)

    Zhang, Wancheng; Xu, Yejun; Wang, Huimin

    2016-01-01

    The aim of this paper is to put forward a consensus reaching method for multi-attribute group decision-making (MAGDM) problems with linguistic information, in which the weight information of experts and attributes is unknown. First, some basic concepts and operational laws of 2-tuple linguistic label are introduced. Then, a grey relational analysis method and a maximising deviation method are proposed to calculate the incomplete weight information of experts and attributes respectively. To eliminate the conflict in the group, a weight-updating model is employed to derive the weights of experts based on their contribution to the consensus reaching process. After conflict elimination, the final group preference can be obtained which will give the ranking of the alternatives. The model can effectively avoid information distortion which is occurred regularly in the linguistic information processing. Finally, an illustrative example is given to illustrate the application of the proposed method and comparative analysis with the existing methods are offered to show the advantages of the proposed method.

  10. Toward a unifying model of identification with groups: integrating theoretical perspectives.

    Science.gov (United States)

    Roccas, Sonia; Sagiv, Lilach; Schwartz, Shalom; Halevy, Nir; Eidelson, Roy

    2008-08-01

    Building on the contributions of diverse theoretical approaches, the authors present a multidimensional model of group identification. Integrating conceptions from the social identity perspective with those from research on individualism-collectivism, nationalism- patriotism, and identification with organizations, we propose four conceptually distinct modes of identification: importance (how much I view the group as part of who I am), commitment (how much I want to benefit the group), superiority (how much I view my group as superior to other groups), and deference (how much I honor, revere, and submit to the group's norms, symbols, and leaders). We present an instrument for assessing the four modes of identification and review initial empirical findings that validate the proposed model and show its utility in understanding antecedents and consequences of identification.

  11. Classification of finite reparametrization symmetry groups in the three-Higgs-doublet model

    CERN Document Server

    Ivanov, I P

    2012-01-01

    Symmetries play a crucial role in electroweak symmetry breaking models with non-minimal Higgs content. Within each class of these models, it is desirable to know which symmetry groups can be implemented via the scalar sector. In N-Higgs-doublet models, this classification problem was solved only for N=2 doublets. Very recently, we suggested a method to classify all realizable finite symmetry groups of Higgs-family transformations in the three-Higgs-doublet model (3HDM). Here, we present this classification in all detail together with an introduction to the theory of solvable groups, which play the key role in our derivation. We also consider generalized-CP symmetries, and discuss the interplay between Higgs-family symmetries and CP-conservation. In particular, we prove that presence of the $Z_4$ symmetry guarantees the explicit CP-conservation of the potential. This work completes classification of finite reparametrization symmetry groups in 3HDM.

  12. Classification of finite reparametrization symmetry groups in the three-Higgs-doublet model

    Energy Technology Data Exchange (ETDEWEB)

    Ivanov, Igor P. [Universite de Liege, IFPA, Liege (Belgium); Sobolev Institute of Mathematics, Novosibirsk (Russian Federation); Vdovin, E. [Sobolev Institute of Mathematics, Novosibirsk (Russian Federation)

    2013-02-15

    Symmetries play a crucial role in electroweak symmetry breaking models with non-minimal Higgs content. Within each class of these models, it is desirable to know which symmetry groups can be implemented via the scalar sector. In N-Higgs-doublet models, this classification problem was solved only for N=2 doublets. Very recently, we suggested a method to classify all realizable finite symmetry groups of Higgs-family transformations in the three-Higgs-doublet model (3HDM). Here, we present this classification in all detail together with an introduction to the theory of solvable groups, which play the key role in our derivation. We also consider generalized-CP symmetries, and discuss the interplay between Higgs-family symmetries and CP-conservation. In particular, we prove that presence of the Z{sub 4} symmetry guarantees the explicit CP-conservation of the potential. This work completes classification of finite reparametrization symmetry groups in 3HDM. (orig.)

  13. Classification of finite reparametrization symmetry groups in the three-Higgs-doublet model

    Science.gov (United States)

    Ivanov, Igor P.; Vdovin, E.

    2013-02-01

    Symmetries play a crucial role in electroweak symmetry breaking models with non-minimal Higgs content. Within each class of these models, it is desirable to know which symmetry groups can be implemented via the scalar sector. In N-Higgs-doublet models, this classification problem was solved only for N=2 doublets. Very recently, we suggested a method to classify all realizable finite symmetry groups of Higgs-family transformations in the three-Higgs-doublet model (3HDM). Here, we present this classification in all detail together with an introduction to the theory of solvable groups, which play the key role in our derivation. We also consider generalized- CP symmetries, and discuss the interplay between Higgs-family symmetries and CP-conservation. In particular, we prove that presence of the ℤ4 symmetry guarantees the explicit CP-conservation of the potential. This work completes classification of finite reparametrization symmetry groups in 3HDM.

  14. Suicide prevention by online support groups: an action theory-based model of emotional first aid.

    Science.gov (United States)

    Gilat, Itzhak; Shahar, Golan

    2009-01-01

    In the last two decades, online support groups have become a valuable source of help for individuals in suicidal crisis. Their attractiveness is attributed to features that enhance help-seeking and self-disclosure such as availability, anonymity, and use of written communication. However, online support groups also suffer from limitations and potential risks as agents of suicide prevention. The Israeli Association for Emotional First Aid (ERAN) has developed a practical model that seeks to maximize the benefits and minimize the risks of online suicide prevention. The model applies the Action Theory concepts whereby individuals shape their own environment. The present paper presents the model, which is based on an online support group combined with personal chat and a telephonic help line. The online support group is moderated by paraprofessionals who function as both process regulators and support providers. The principles and practice of the model are described, the theoretical rationale is presented, and directions for future research are suggested.

  15. Estimation of pyrethroid pesticide intake using regression modeling of food groups based on composite dietary samples

    Science.gov (United States)

    Population-based estimates of pesticide intake are needed to characterize exposure for particular demographic groups based on their dietary behaviors. Regression modeling performed on measurements of selected pesticides in composited duplicate diet samples allowed (1) estimation ...

  16. Simultaneous geologic scenario identification and flow model calibration with group-sparsity formulations

    Science.gov (United States)

    Golmohammadi, Azarang; Jafarpour, Behnam

    2016-06-01

    Adopting representative geologic connectivity scenarios is critical for reliable modeling and prediction of flow and transport processes in subsurface environments. Geologic scenarios are often developed by integrating several sources of information, including knowledge of the depositional environment, qualitative and quantitative data such as outcrop and well logs, and process-based geologic modeling. In general, flow and transport response data are usually not included in constructing geologic scenarios for a basin. Instead, these data are typically matched using a given prior geologic scenario as constraint. Since data limitations, modeling assumptions and subjective interpretations can lead to significant uncertainty in the adopted geologic scenarios, flow and transport data may also be useful for constraining the uncertainty in proposed geologic scenarios. Constraining geologic scenarios with flow-related data opens an interesting and challenging research area, which goes beyond the traditional model calibration formulations where the geologic scenario is assumed given. In this paper, a novel concept, known as group-sparsity regularization, is proposed as an effective formulation to constrain the uncertainty in the prior geologic scenario during subsurface flow model calibration. Given a collection of model realizations from several plausible geologic scenarios, the proposed method first applies the truncated singular value decomposition (TSVD) to compactly represent the models from each geologic scenario. The TSVD basis for representing each scenario forms a distinct group. The proposed approach searches over these groups (i.e., geologic scenarios) to eliminate inconsistent groups that are not supported by the observed flow/pressure data. The group-sparsity regularization minimizes a l1/l2mixed norm, where the l2-norm quantifies the contribution of each group and operates on the coefficients within the groups while the l1-norm, having a selection property, is

  17. Group-ICA model order highlights patterns of functional brain connectivity

    Directory of Open Access Journals (Sweden)

    Ahmed eAbou Elseoud

    2011-06-01

    Full Text Available Resting-state networks (RSNs can be reliably and reproducibly detected using independent component analysis (ICA at both individual subject and group levels. Altering ICA dimensionality (model order estimation can have a significant impact on the spatial characteristics of the RSNs as well as their parcellation into sub-networks. Recent evidence from several neuroimaging studies suggests that the human brain has a modular hierarchical organization which resembles the hierarchy depicted by different ICA model orders. We hypothesized that functional connectivity between-group differences measured with ICA might be affected by model order selection. We investigated differences in functional connectivity using so-called dual-regression as a function of ICA model order in a group of unmedicated seasonal affective disorder (SAD patients compared to normal healthy controls. The results showed that the detected disease-related differences in functional connectivity alter as a function of ICA model order. The volume of between-group differences altered significantly as a function of ICA model order reaching maximum at model order 70 (which seems to be an optimal point that conveys the largest between-group difference then stabilized afterwards. Our results show that fine-grained RSNs enable better detection of detailed disease-related functional connectivity changes. However, high model orders show an increased risk of false positives that needs to be overcome. Our findings suggest that multilevel ICA exploration of functional connectivity enables optimization of sensitivity to brain disorders.

  18. Modeling the Individual Within the Group: an Interdisciplinary Approach to Collaborative Knowledge Construction

    OpenAIRE

    Lund, Kristine

    2016-01-01

    Constructing knowledge with others is fundamental for all human activity, and many disciplines have sought to understand how the individual, other people, and the context, all influence collaborative knowledge construction, be it individual or group knowledge. The goal of this Habilitation à Diriger des Recherches is to present an analytical model of the relations of the individual to the group in situations of collaborative knowledge construction. The model is inspired by the work of Levinso...

  19. Teaching Engineering Statistics with Technology, Group Learning, Contextual Projects, Simulation Models and Student Presentations

    Science.gov (United States)

    Romeu, Jorge Luis

    2008-01-01

    This article discusses our teaching approach in graduate level Engineering Statistics. It is based on the use of modern technology, learning groups, contextual projects, simulation models, and statistical and simulation software to entice student motivation. The use of technology to facilitate group projects and presentations, and to generate,…

  20. Does Model Matter? Examining Change across Time for Youth in Group Homes

    Science.gov (United States)

    Farmer, Elizabeth M. Z.; Seifert, Heather; Wagner, H. Ryan; Burns, Barbara J.; Murray, Maureen

    2017-01-01

    Group homes are a frequently used but controversial treatment setting for youth with mental health problems. Within the relatively sparse literature on group homes, there is some evidence that some models of treatment may be associated with more positive outcomes for youth. This article explores this possibility by examining differences across…

  1. Acting in solidarity : Testing an extended dual pathway model of collective action by bystander group members

    NARCIS (Netherlands)

    Saab, Rim; Tausch, Nicole; Spears, Russell; Cheung, Wing-Yee

    2015-01-01

    We examined predictors of collective action among bystander group members in solidarity with a disadvantaged group by extending the dual pathway model of collective action, which proposes one efficacy-based and one emotion-based path to collective action (Van Zomeren, Spears, Fischer, & Leach, 2004)

  2. Using the Solving Problems Together Psychoeducational Group Counseling Model as an Intervention for Negative Peer Pressure

    Science.gov (United States)

    Hall, Kimberly R.; Rushing, Jeri Lynn; Khurshid, Ayesha

    2011-01-01

    Problem-focused interventions are considered to be one of the most effective group counseling strategies with adolescents. This article describes a problem-focused group counseling model, Solving Problems Together (SPT), that focuses on working with students who struggle with negative peer pressure. Adapted from the teaching philosophy of…

  3. Designing a bone health and soy focus group discussion guide based on the health belief model

    Science.gov (United States)

    Focus groups were used to assess the knowledge and skills of women in order to support curricula development. The Health Belief Model was applied to the discussion guide to enhance focus group findings and applications. Constructs related to perceived susceptibility, severity, benefits, and barriers...

  4. Using the Solving Problems Together Psychoeducational Group Counseling Model as an Intervention for Negative Peer Pressure

    Science.gov (United States)

    Hall, Kimberly R.; Rushing, Jeri Lynn; Khurshid, Ayesha

    2011-01-01

    Problem-focused interventions are considered to be one of the most effective group counseling strategies with adolescents. This article describes a problem-focused group counseling model, Solving Problems Together (SPT), that focuses on working with students who struggle with negative peer pressure. Adapted from the teaching philosophy of…

  5. Study on The Development of The Group-Buying:A Secondary Business-Model Innovation Perspective

    Institute of Scientific and Technical Information of China (English)

    Xia; Yiwei

    2011-01-01

    Groupon group-buying business model promotes the development of e-commerce market in China.This group-buying model has obvious advantages.But it can be easily copied.There are thousands of group-buying websites,which are as much popular as Web 2.0and SNS entered China a few years ago.Although group-buying has been domestic only more than a year,it developed fast which has gradually changed the lifestyle of consumers and become a living habit.Therefore,it has great significance to study on the group-buying in the pattern of localization.We try to analyze the phenomena of local group-buying in Chinese market from business model innovation perspective,which has the impact on their competitive performance.We find that local group-buying sites get success through business model innovation.They clearly put forward the appropriate value proposition to attract customersattention with low-cost feature for specific target consumer groups.Moreover,they take advantage of their unique resources,integration of complementary assets to enhance the value of network systems.Thus,these latecomer e-commerce firms seize the opportunity to grow in emerging economies and have won a huge customer base.

  6. Teaching Engineering Statistics with Technology, Group Learning, Contextual Projects, Simulation Models and Student Presentations

    Science.gov (United States)

    Romeu, Jorge Luis

    2008-01-01

    This article discusses our teaching approach in graduate level Engineering Statistics. It is based on the use of modern technology, learning groups, contextual projects, simulation models, and statistical and simulation software to entice student motivation. The use of technology to facilitate group projects and presentations, and to generate,…

  7. Using Molecular Modeling in Teaching Group Theory Analysis of the Infrared Spectra of Organometallic Compounds

    Science.gov (United States)

    Wang, Lihua

    2012-01-01

    A new method is introduced for teaching group theory analysis of the infrared spectra of organometallic compounds using molecular modeling. The main focus of this method is to enhance student understanding of the symmetry properties of vibrational modes and of the group theory analysis of infrared (IR) spectra by using visual aids provided by…

  8. Reflective practice groups for nurses: a consultation liaison psychiatry nursing initiative: part 1--The model.

    Science.gov (United States)

    Dawber, Chris

    2013-04-01

    In the present study, we outline the evolution of a process-focused reflective practice group (RPG) model for nurses working in clinical settings. The groups were initiated at Redcliffe and Caboolture hospitals by the consultation liaison psychiatry nurse and author. An associated article provides an evaluation of these RPG. The literature review identifies the key themes and theories on which the model is based, and the article outlines the process and practicalities of facilitating RPG in critical care, midwifery, and oncology specialties over a 3-year period. The model proposes that the effectiveness and sustainability of RPG arises from adequate preparation and engagement with prospective participants. Group rules, based on principles of confidentially, supportiveness, and diversity, were collaboratively developed for each group. Facilitation utilized a group-as-a-whole approach to manage process and stimulate reflection. While the purpose of RPG was a reflection on interpersonal aspects of nursing, contextual workplace issues were frequently raised in groups. Acknowledgement and containment of such issues were necessary to maintain clinical focus. The literature highlights facilitator credibility and style as crucial factors in the overall success of RPG, and it is proposed that reflective practice as a process-focused model for groups succeeds when nurse facilitators are trained in group process and receive concurrent supervision. © 2012 The Author; International Journal of Mental Health Nursing © 2012 Australian College of Mental Health Nurses Inc.

  9. Using Molecular Modeling in Teaching Group Theory Analysis of the Infrared Spectra of Organometallic Compounds

    Science.gov (United States)

    Wang, Lihua

    2012-01-01

    A new method is introduced for teaching group theory analysis of the infrared spectra of organometallic compounds using molecular modeling. The main focus of this method is to enhance student understanding of the symmetry properties of vibrational modes and of the group theory analysis of infrared (IR) spectra by using visual aids provided by…

  10. A differential-geometric approach to generalized linear models with grouped predictors

    NARCIS (Netherlands)

    Augugliaro, Luigi; Mineo, Angelo M.; Wit, Ernst C.

    2016-01-01

    We propose an extension of the differential-geometric least angle regression method to perform sparse group inference in a generalized linear model. An efficient algorithm is proposed to compute the solution curve. The proposed group differential-geometric least angle regression method has important

  11. Evaluating Employability Skills: Employer and Student Perceptions

    Science.gov (United States)

    Saunders, Venetia; Zuzel, Katherine

    2010-01-01

    Graduate employability is a key issue for Higher Education. In this two-part study student employability skills have been evaluated from the perspective of sandwich students and graduates in biomolecular science, and their employers. A strong correlation was found between employer and sandwich student/graduate perceptions of the relative…

  12. Evaluating Employability Skills: Employer and Student Perceptions

    Science.gov (United States)

    Saunders, Venetia; Zuzel, Katherine

    2010-01-01

    Graduate employability is a key issue for Higher Education. In this two-part study student employability skills have been evaluated from the perspective of sandwich students and graduates in biomolecular science, and their employers. A strong correlation was found between employer and sandwich student/graduate perceptions of the relative…

  13. A model to systematically employ professional judgment in the Bayesian Decision Analysis for a semiconductor industry exposure assessment.

    Science.gov (United States)

    Torres, Craig; Jones, Rachael; Boelter, Fred; Poole, James; Dell, Linda; Harper, Paul

    2014-01-01

    Bayesian Decision Analysis (BDA) uses Bayesian statistics to integrate multiple types of exposure information and classify exposures within the exposure rating categorization scheme promoted in American Industrial Hygiene Association (AIHA) publications. Prior distributions for BDA may be developed from existing monitoring data, mathematical models, or professional judgment. Professional judgments may misclassify exposures. We suggest that a structured qualitative risk assessment (QLRA) method can provide consistency and transparency in professional judgments. In this analysis, we use a structured QLRA method to define prior distributions (priors) for BDA. We applied this approach at three semiconductor facilities in South Korea, and present an evaluation of the performance of structured QLRA for determination of priors, and an evaluation of occupational exposures using BDA. Specifically, the structured QLRA was applied to chemical agents in similar exposure groups to identify provisional risk ratings. Standard priors were developed for each risk rating before review of historical monitoring data. Newly collected monitoring data were used to update priors informed by QLRA or historical monitoring data, and determine the posterior distribution. Exposure ratings were defined by the rating category with the highest probability--i.e., the most likely. We found the most likely exposure rating in the QLRA-informed priors to be consistent with historical and newly collected monitoring data, and the posterior exposure ratings developed with QLRA-informed priors to be equal to or greater than those developed with data-informed priors in 94% of comparisons. Overall, exposures at these facilities are consistent with well-controlled work environments. That is, the 95th percentile of exposure distributions are ≤50% of the occupational exposure limit (OEL) for all chemical-SEG combinations evaluated; and are ≤10% of the limit for 94% of chemical-SEG combinations evaluated.

  14. Development of “Functional Groups in Molecules” Models For Fundamental Science Curriculum

    Directory of Open Access Journals (Sweden)

    Kowit KITTIWUTTHISAKDI

    2007-06-01

    Full Text Available In order to teach quantum concepts to primary school students, new molecular models have been developed to better visualize a few typical molecules. Both computer and physical molecular models particularly those displaying functional groups were created from Atoms in Molecules (AIM theory. The surface of each model was calculated from 0.01 atomic unit (au electron density surface of the molecule. MORPHY was used to calculate an inter-atomic surface (IAS, and several software programs such as Gaussian, VMD, Points2Polys, and Vizx3D were utilized to create three dimensional models. Different functional groups were colored, and connections between the functional groups were shown by IAS. The final physical molecular models were prepared by a rapid prototype machine at Thailand National Metal and Materials Technology Center (MTEC.

  15. Approximate group context tree: applications to dynamic programming and dynamic choice models

    CERN Document Server

    Belloni, Alexandre

    2011-01-01

    The paper considers a variable length Markov chain model associated with a group of stationary processes that share the same context tree but potentially different conditional probabilities. We propose a new model selection and estimation method, develop oracle inequalities and model selection properties for the estimator. These results also provide conditions under which the use of the group structure can lead to improvements in the overall estimation. Our work is also motivated by two methodological applications: discrete stochastic dynamic programming and dynamic discrete choice models. We analyze the uniform estimation of the value function for dynamic programming and the uniform estimation of average dynamic marginal effects for dynamic discrete choice models accounting for possible imperfect model selection. We also derive the typical behavior of our estimator when applied to polynomially $\\beta$-mixing stochastic processes. For parametric models, we derive uniform rate of convergence for the estimation...

  16. A rigorous methodology for development and uncertainty analysis of group contribution based property models

    DEFF Research Database (Denmark)

    Frutiger, Jerome; Abildskov, Jens; Sin, Gürkan

    . The GC model uses the Marrero-Gani (MR) method which considers the group contribution in different levels both functional and structural. The methodology helps improve accuracy and reliability of property modeling and provides a rigorous model quality check and assurance. This is expected to further......Property prediction models are a fundamental tool of process modeling and analysis, especially at the early stage of process development. Furthermore, property prediction models are the fundamental tool for Computer-aided molecular design used for the development of new refrigerants. Group...... contribution (GC) based prediction methods use structurally dependent parameters in order to determine the property of pure components. The aim of the GC parameter estimation is to find the best possible set of model parameters that fits the experimental data. In that sense, there is often a lack of attention...

  17. The effects of tree species grouping in tropical rain forest modelling - simulations with the individual based model FORMIND

    OpenAIRE

    Köhler, Peter; Huth, A.

    1998-01-01

    Due to high biodiversity in tropical rainforests, tree species are aggregatedinto functional groups for modelling purposes. In this article the influencesof two different classifications of tropical tree species into functionalgroups on the output of a rainforest model are analysed. The FORMIND modelis documented. FORMIND simulates the tree growth of tropical rainforests.The model is individual-based and developed from the FORMIX3 model. In themodel, trees compete for light and space in plots...

  18. Group-wise herding behavior in financial markets: an agent-based modeling approach.

    Science.gov (United States)

    Kim, Minsung; Kim, Minki

    2014-01-01

    In this paper, we shed light on the dynamic characteristics of rational group behaviors and the relationship between monetary policy and economic units in the financial market by using an agent-based model (ABM), the Hurst exponent, and the Shannon entropy. First, an agent-based model is used to analyze the characteristics of the group behaviors at different levels of irrationality. Second, the Hurst exponent is applied to analyze the characteristics of the trend-following irrationality group. Third, the Shannon entropy is used to analyze the randomness and unpredictability of group behavior. We show that in a system that focuses on macro-monetary policy, steep fluctuations occur, meaning that the medium-level irrationality group has the highest Hurst exponent and Shannon entropy among all of the groups. However, in a system that focuses on micro-monetary policy, all group behaviors follow a stable trend, and the medium irrationality group thus remains stable, too. Likewise, in a system that focuses on both micro- and macro-monetary policies, all groups tend to be stable. Consequently, we find that group behavior varies across economic units at each irrationality level for micro- and macro-monetary policy in the financial market. Together, these findings offer key insights into monetary policy.

  19. Microstructure and electrical properties of XInZnO (X = Ti, Zr, Hf) films and device performance of their thin film transistors—The effects of employing Group IV-B elements in place of Ga

    Energy Technology Data Exchange (ETDEWEB)

    Moon, Mi Ran [Department of Physics, Institute of Basic Science, Brain Korea 21 Physics Research Division, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Jeon, Haseok; Na, Sekwon; Kim, Sunho [School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Jung, Donggeun [Department of Physics, Institute of Basic Science, Brain Korea 21 Physics Research Division, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Kim, Hyoungsub [School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Lee, Hoo-Jeong, E-mail: hlee@skku.edu [School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of)

    2013-06-25

    Highlights: ► The effects of adding Group IV B elements have been evaluated in this study. ► Adding alloying elements affected the oxygen vacancy and carrier concentrations, and mobility. ► Adding alloying elements enhanced the bias stability in the order of Ti, Zr and Hf. -- Abstract: In this study, we systematically investigated the effects of employing Group IV-B metals (Ti, Zr, and Hf) in place of Ga in GaInZnO films by fabricating XInZnO films (X = Ti, Zr, or Hf) with a various ratio of the Group IV-B elements. Materials characterization using various analytical methods (including transmission electron microscopy and X-ray photoelectron spectroscopy) elucidates that upon the addition of a small amount of the alloying elements, while the microstructure turned into amorphous from nanocrystalline, the oxygen vacancy concentration decreased systematically along with the carrier concentration. The device characteristics (threshold voltage and field-effect mobility) of the transistors fabricated from the films sensitively reflect the changes in the film properties (carrier concentration and bulk mobility). The bias stability enhanced with the increase of the ratio of the alloying elements to an extent that apparently increases in the order of Ti, Zr and Hf, which is reverse to the order of the electronegativity.

  20. Standard model with Higgs as gauge field on fourth homotopy group

    CERN Document Server

    Guo, H; Wu, K; Guo, Hanying; Li, Jianming; Wu, Ke

    1994-01-01

    Based upon a first principle, the generalized gauge principle, we construct a general model with G_L\\times G'_R \\times Z_2 gauge symmetry, where Z_2=\\pi_4(G_L) is the fourth homotopy group of the gauge group G_L, by means of the non-commutative differential geometry and reformulate the Weinberg-Salam model and the standard model with the Higgs field being a gauge field on the fourth homotopy group of their gauge groups. We show that in this approach not only the Higgs field is automatically introduced on the equal footing with ordinary Yang-Mills gauge potentials and there are no extra constraints among the parameters at the tree level but also it most importantly is stable against quantum correlation.

  1. Three "quantum" models of competition and cooperation in interacting biological populations and social groups

    CERN Document Server

    Vol, E D

    2012-01-01

    In present paper we propose the consistent statistical approach which appropriate for a number of models describing both behavior of biological populations and various social groups interacting with each other.The approach proposed based on the ideas of quantum theory of open systems (QTOS) and allows one to account explicitly both discreteness of a system variables and their fluctuations near mean values.Therefore this approach can be applied also for the description of small populations where standard dynamical methods are failed. We study in detail three typical models of interaction between populations and groups: 1) antagonistic struggle between two populations 2) cooperation (or, more precisely, obligatory mutualism) between two species 3) the formation of coalition between two feeble groups in their conflict with third one that is more powerful . The models considered in a sense are mutually complementary and include the most types of interaction between populations and groups. Besides this method can ...

  2. Advances and bottlenecks in modelling the greenhouse climate: summary of a group discussion

    NARCIS (Netherlands)

    Seginer, I.; Bakker, J.C.

    1998-01-01

    This report is a summary of a group discussion at the symposium 'Models in protected cultivation' held in Wageningen, August 1997. The discussion focused on the reasons for the relatively limited acceptance and application of greenhouse climate models, especially in commercial practice. The discussi

  3. A Percentile Regression Model for the Number of Errors in Group Conversation Tests.

    Science.gov (United States)

    Liski, Erkki P.; Puntanen, Simo

    A statistical model is presented for analyzing the results of group conversation tests in English, developed in a Finnish university study from 1977 to 1981. The model is illustrated with the findings from the study. In this study, estimates of percentile curves for the number of errors are of greater interest than the mean regression line. It was…

  4. Testing Measurement Invariance of the Students' Affective Characteristics Model across Gender Sub-Groups

    Science.gov (United States)

    Demir, Ergül

    2017-01-01

    In this study, the aim was to construct a significant structural measurement model comparing students' affective characteristics with their mathematic achievement. According to this model, the aim was to test the measurement invariances between gender sub-groups hierarchically. This study was conducted as basic and descriptive research. Secondary…

  5. Does it work everywhere? Group Model Building as participative method in intercultural perspective

    NARCIS (Netherlands)

    Arensbergen, P. van; Lansu, M.E.M.; Bleijenbergh, I.L.

    2016-01-01

    Group Model Building (GMB) is a type of facilitated modeling, in which the input of the participants to structuring a complex problem is crucial. There is a high level of participant interaction and involvement. The method focuses on open communication between participants to gain insight in complex

  6. Group Approach to the Quantization of Non-Abelian Stueckelberg Models

    Energy Technology Data Exchange (ETDEWEB)

    Aldaya, V; Lopez-Ruiz, F F [Instituto de Astrofisica de AndalucIa (IAA-CSIC), Apartado Postal 3004, 18080 Granada (Spain); Calixto, M, E-mail: valdaya@iaa.es, E-mail: Manuel.Calixto@upct.es, E-mail: flopez@iaa.es [Departamento de Matematica Aplicada y Estadistica, Universidad Politecnica de Cartagena, Paseo Alfonso XIII 56, 30203 Cartagena (Spain)

    2011-03-01

    The quantum field theory of Non-Linear Sigma Models on coadjoint orbits of a semi-simple group G are formulated in the framework of a Group Approach to Quantization. In this scheme, partial-trace Lagrangians are recovered from two-cocycles defined on the infinite-dimensional group of sections of the jet-gauge group J{sup 1} (G). This construction is extended to the entire physical system coupled to Yang-Mills fields, thus constituting an algebraic formulation of the Non-Abelian Stueckelgerg formalism devoid of the unitarity/renormalizability obstruction that this theory finds in the standard Lagrangian formalism under canonical quantization.

  7. Group Signatures with Verifier-Local Revocation and Backward Unlinkability in the Standard Model

    Science.gov (United States)

    Libert, Benoît; Vergnaud, Damien

    Group signatures allow users to anonymously sign messages in the name of a group. Membership revocation has always been a critical issue in such systems. In 2004, Boneh and Shacham formalized the concept of group signatures with verifier-local revocation where revocation messages are only sent to signature verifiers (as opposed to both signers and verifiers). This paper presents an efficient verifier-local revocation group signature (VLR-GS) providing backward unlinkability (i.e. previously issued signatures remain anonymous even after the signer's revocation) with a security proof in the standard model (i.e. without resorting to the random oracle heuristic).

  8. Estimation and Uncertainty Analysis of Flammability Properties of Chemicals using Group-Contribution Property Models

    DEFF Research Database (Denmark)

    Frutiger, Jerome; Abildskov, Jens; Sin, Gürkan

    or time constraints, property prediction models like group contribution (GC) models can estimate flammability data. The estimation needs to be accurate, reliable and as less time consuming as possible. However, GC property prediction methods frequently lack rigorous uncertainty analysis. Hence......, there is no information about the reliability of the data. Furthermore, the global optimality of the GC parameters estimation is often not ensured. In this research project flammability-related property data, like LFL and UFL, are estimated using the Marrero and Gani group contribution method (MG method). In addition...... the group contribution in three levels: The contributions from a specific functional group (1st order parameters), from polyfunctional (2nd order parameters) as well as from structural groups (3rd order parameters). The latter two classes of GC factors provide additional structural information beside...

  9. A Comparative Study of English Audio Typing(EAT) Str-ategies Employed by High-scored Group and Low-scored Group%英语同声打字高分组和低分组学习策略研究

    Institute of Scientific and Technical Information of China (English)

    刘敏

    2014-01-01

    英语同声打字(EAT)策略决定着英语同声打字的结果。本文试图对比高分组和低分组EAT策略使用差异,进而探讨有效的EAT学习方法。%English Audio Typing (EAT)strategies determine the outcome of EAT process. This paper tries to compare the EAT strategies employed by high-scored group and low-scored group, intending to discuss the effective way of learning EAT.

  10. Group-based trajectory modeling to assess adherence to biologics among patients with psoriasis

    Directory of Open Access Journals (Sweden)

    Li Y

    2014-04-01

    Full Text Available Yunfeng Li,1 Huanxue Zhou,2 Beilei Cai,1 Kristijan H Kahler,1 Haijun Tian,1 Susan Gabriel,1 Steve Arcona11Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA; 2KMK Consulting Inc., Florham Park, NJ, USABackground: Proportion of days covered (PDC, a commonly used adherence metric, does not provide information about the longitudinal course of adherence to treatment over time. Group-based trajectory model (GBTM is an alternative method that overcomes this limitation.Methods: The statistical principles of GBTM and PDC were applied to assess adherence during a 12-month follow-up in psoriasis patients starting treatment with a biologic. The optimal GBTM model was determined on the basis of the balance between each model's Bayesian information criterion and the percentage of patients in the smallest group in each model. Variables potentially predictive of adherence were evaluated.Results: In all, 3,249 patients were included in the analysis. Four GBTM adherence groups were suggested by the optimal model, and patients were categorized as demonstrating continuously high adherence, high-then-low adherence, moderate-then-low adherence, or consistently moderate adherence during follow-up. For comparison, four PDC groups were constructed: PDC Group 4 (PDC ≥75%, PDC Group 3 (25%≤ PDC <50%, PDC Group 2 (PDC <25%, and PDC Group 1 (50%≤ PDC <75%. Our findings suggest that the majority of patients (97.9% from PDC Group 2 demonstrated moderate-then-low adherence, whereas 96.4% of patients from PDC Group 4 showed continuously high adherence. The remaining PDC-based categorizations did not capture patients with uniform adherence behavior based on GBTM. In PDC Group 3, 25.3%, 17.2%, and 57.5% of patients exhibited GBTM-defined consistently moderate adherence, moderate-then-low adherence, or high-then-low adherence, respectively. In PDC Group 1, 70.8%, 23.6%, and 5.7% of patients had consistently moderate adherence, high-then-low adherence, and

  11. TOPICAL REVIEW: Group theory and biomolecular conformation: I. Mathematical and computational models

    Science.gov (United States)

    Chirikjian, Gregory S.

    2010-08-01

    Biological macromolecules, and the complexes that they form, can be described in a variety of ways ranging from quantum mechanical and atomic chemical models, to coarser grained models of secondary structure and domains, to continuum models. At each of these levels, group theory can be used to describe both geometric symmetries and conformational motion. In this survey, a detailed account is provided of how group theory has been applied across computational structural biology to analyze the conformational shape and motion of macromolecules and complexes.

  12. Computer-aided polymer design using group contribution plus property models

    DEFF Research Database (Denmark)

    Satyanarayana, Kavitha Chelakara; Abildskov, Jens; Gani, Rafiqul

    2009-01-01

    . Polymer repeat unit property prediction models are required to calculate the properties of the generated repeat units. A systematic framework incorporating recently developed group contribution plus (GC(+)) models and an extended CAMD technique to include design of polymer repeat units is highlighted...... in this paper. The advantage of a GC(+) model in CAMD applications is that a very large number of polymer structures can be considered even though some of the group parameters may not be available. A number of case studies involving different polymer design problems have been solved through the developed...

  13. 9th Annual Conference of the North East Polytechnics Mathematical Modelling & Computer Simulation Group

    CERN Document Server

    Bradley, R

    1987-01-01

    In recent years, mathematical modelling allied to computer simulation has emerged as en effective and invaluable design tool for industry and a discipline in its own right. This has been reflected in the popularity of the growing number of courses and conferences devoted to the area. The North East Polytechnics Mathematical Modelling and Computer Simulation Group has a balanced representation of academics and industrialists and, as a Group, has the objective of promoting a continuing partnership between the Polytechnics in the North East and local industry. Prior to the present conference the Group has organised eight conferences with a variety of themes related to mathematical modelling and computer simulation. The theme chosen for the Polymodel 9 Conference held in Newcastle upon Tyne in May 1986 was Industrial Vibration Modelling, which is particularly approp riate for 'Industry Year' and is an area which continues to present industry and academics with new and challenging problems. The aim of the Conferen...

  14. Asymptotic behavior of stochastic multi-group epidemic models with distributed delays

    Science.gov (United States)

    Liu, Qun; Jiang, Daqing; Shi, Ningzhong; Hayat, Tasawar; Alsaedi, Ahmed

    2017-02-01

    In this paper, we introduce stochasticity into multi-group epidemic models with distributed delays and general kernel functions. The stochasticity in the model is a standard technique in stochastic population modeling. When the perturbations are small, by using the method of stochastic Lyapunov functions, we carry out a detailed analysis on the asymptotic behavior of the stochastic model regarding of the basic reproduction number R0. If R0 ≤ 1, the solution of the stochastic system oscillates around the disease-free equilibrium E0, while if R0 > 1, the solution of the stochastic model fluctuates around the endemic equilibrium E∗. Moreover, we also establish sufficient conditions of these results.

  15. Shear-wave Velocity Model from Rayleigh Wave Group Velocities Centered on the Sacramento/San Joaquin Delta

    Science.gov (United States)

    Fletcher, Jon B.; Erdem, Jemile

    2017-06-01

    Rayleigh wave group velocities obtained from ambient noise tomography are inverted for an upper crustal model of the Central Valley, California, centered on the Sacramento/San Joaquin Delta. Two methods were tried; the first uses SURF96, a least squares routine. It provides a good fit to the data, but convergence is dependent on the starting model. The second uses a genetic algorithm, whose starting model is random. This method was tried at several nodes in the model and compared to the output from SURF96. The genetic code is run five times and the variance of the output of all five models can be used to obtain an estimate of error. SURF96 produces a more regular solution mostly because it is typically run with a smoothing constraint. Models from the genetic code are generally consistent with the SURF96 code sometimes producing lower velocities at depth. The full model, calculated using SURF96, employed a 2-pass strategy, which used a variable damping scheme in the first pass. The resulting model shows low velocities near the surface in the Central Valley with a broad asymmetrical sedimentary basin located close to the western edge of the Central Valley near 122°W longitude. At shallow depths, the Rio Vista Basin is found nestled between the Pittsburgh/Kirby Hills and Midland faults, but a significant basin also seems to exist to the west of the Kirby Hills fault. There are other possible correlations between fast and slow velocities in the Central Valley and geologic features such as the Stockton Arch, oil or gas producing regions and the fault-controlled western boundary of the Central Valley.

  16. Renormalization group approach to power-law modeling of complex metabolic networks.

    Science.gov (United States)

    Hernández-Bermejo, Benito

    2010-08-07

    In the modeling of complex biological systems, and especially in the framework of the description of metabolic pathways, the use of power-law models (such as S-systems and GMA systems) often provides a remarkable accuracy over several orders of magnitude in concentrations, an unusually broad range not fully understood at present. In order to provide additional insight in this sense, this article is devoted to the renormalization group analysis of reactions in fractal or self-similar media. In particular, the renormalization group methodology is applied to the investigation of how rate-laws describing such reactions are transformed when the geometric scale is changed. The precise purpose of such analysis is to investigate whether or not power-law rate-laws present some remarkable features accounting for the successes of power-law modeling. As we shall see, according to the renormalization group point of view the answer is positive, as far as power-laws are the critical solutions of the renormalization group transformation, namely power-law rate-laws are the renormalization group invariant solutions. Moreover, it is shown that these results also imply invariance under the group of concentration scalings, thus accounting for the reported power-law model accuracy over several orders of magnitude in metabolite concentrations. Copyright 2010 Elsevier Ltd. All rights reserved.

  17. Uncertainties in modeling low-energy neutrino induced reactions on iron group nuclei

    CERN Document Server

    Paar, N; Honma, M; Marketin, T; Vretenar, D

    2011-01-01

    Charged-current neutrino-nucleus cross sections for 54,56Fe and 58,60Ni are calculated and compared using frameworks based on relativistic and Skyrme energy density functionals, and the shell model. The current theoretical uncertainties in modeling neutrino-nucleus cross sections are assessed in relation to the predicted Gamow-Teller transition strength and available data, multipole decomposition of the cross sections, and cross sections averaged over the Michel flux and Fermi-Dirac distribution. Employing different microscopic approaches and models, the DAR neutrino-56Fe cross section and its theoretical uncertainty are estimated: _th=(258+-57) 10^{-42} cm^2, in very good agreement with the experimental value: _exp=(256+-108+-43) 10^{-42} cm^2.

  18. A model compound study: the ecotoxicological evaluation of five organic contaminants employing a battery of marine bioassays.

    Science.gov (United States)

    Macken, Ailbhe; Giltrap, Michelle; Foley, Barry; McGovern, Evin; McHugh, Brendan; Davoren, Maria

    2008-06-01

    This paper describes the ecotoxicological evaluation of five organic contaminants frequently detected in marine sediments (tributyltin, triphenyltin, benzo[a]pyrene, fluoranthene, and PCB 153) using three marine species (Vibrio fischeri, Tetraselmis suecica, and Tisbe battagliai). The sensitivity of each species varied for all compounds. The triorganotins were consistently the most toxic to all species. The applicability of each test system to assess the acute toxicity of environmental contaminants and their use in Toxicity Identification Evaluation (TIE) is discussed. Suitability of the Microtox and T. battagliai tests for employment in TIE studies were further assessed through spiking experiments with tributyltin. Results demonstrated that the most effective treatment to remove organotin toxicity from the sample was the C18 resin. The results of this study have important implications for risk assessment in estuarine and coastal waters in Ireland, where, at present the monitoring of sediment and water quality is predominantly reliant on chemical analysis alone.

  19. Employing Second-Order Circular Suprasegmental Hidden Markov Models to Enhance Speaker Identification Performance in Shouted Talking Environments

    OpenAIRE

    Ismail Shahin

    2010-01-01

    Speaker identification performance is almost perfect in neutral talking environments. However, the performance is deteriorated significantly in shouted talking environments. This work is devoted to proposing, implementing, and evaluating new models called Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) to alleviate the deteriorated performance in the shouted talking environments. These proposed models possess the characteristics of both Circular Suprasegmental Hidden Mark...

  20. From Mindless Masses to Small Groups: Conceptualizing Collective Behavior in Crowd Modeling.

    Science.gov (United States)

    Templeton, Anne; Drury, John; Philippides, Andrew

    2015-09-01

    Computer simulations are increasingly used to monitor and predict behavior at large crowd events, such as mass gatherings, festivals and evacuations. We critically examine the crowd modeling literature and call for future simulations of crowd behavior to be based more closely on findings from current social psychological research. A systematic review was conducted on the crowd modeling literature (N = 140 articles) to identify the assumptions about crowd behavior that modelers use in their simulations. Articles were coded according to the way in which crowd structure was modeled. It was found that 2 broad types are used: mass approaches and small group approaches. However, neither the mass nor the small group approaches can accurately simulate the large collective behavior that has been found in extensive empirical research on crowd events. We argue that to model crowd behavior realistically, simulations must use methods which allow crowd members to identify with each other, as suggested by self-categorization theory.

  1. Employment Effects of Renewable Energy Expansion on a Regional Level—First Results of a Model-Based Approach for Germany

    Directory of Open Access Journals (Sweden)

    Ulrike Lehr

    2012-02-01

    Full Text Available National studies have shown that both gross and net effects of the expansion of energy from renewable sources on employment are positive for Germany. These modeling approaches also revealed that this holds true for both present and future perspectives under certain assumptions on the development of exports, fossil fuel prices and national politics. Yet how are employment effects distributed within Germany? What components contribute to growth impacts on a regional level? To answer these questions (new methods of regionalization were explored and developed for the example “wind energy onshore” for Germany’s federal states. The main goal was to develop a methodology which is applicable to all renewable energy technologies in future research. For the quantification and projection, it was necessary to distinguish between jobs generated by domestic investments and exports on the one hand, and jobs for operation and maintenance of existing plants on the other hand. Further, direct and indirect employment is analyzed. The results show, that gross employment is particularly high in the northwestern regions of Germany. However, especially the indirect effects are spread out over the whole country. Regions in the south not only profit from the delivery of specific components, but also from other industry and service inputs.

  2. Body image concerns in professional fashion models: are they really an at-risk group?

    Science.gov (United States)

    Swami, Viren; Szmigielska, Emilia

    2013-05-15

    Although professional models are thought to be a high-risk group for body image concerns, only a handful of studies have empirically investigated this possibility. The present study sought to overcome this dearth of information by comparing professional models and a matched sample on key indices of body image and appeared-related concerns. A group of 52 professional fashion models was compared with a matched sample of 51 non-models from London, England, on indices of weight discrepancy, body appreciation, social physique anxiety, body dissatisfaction, drive for thinness, internalization of sociocultural messages about appearance, and dysfunctional investment in appearance. Results indicated that professional models only evidenced significantly higher drive for thinness and dysfunctional investment in appearance than the control group. Greater duration of engagement as a professional model was associated with more positive body appreciation but also greater drive for thinness. These results indicate that models, who are already underweight, have a strong desire to maintain their low body mass or become thinner. Taken together, the present results suggest that interventions aimed at promoting healthy body image among fashion models may require different strategies than those aimed at the general population. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  3. PENERAPAN MODEL PEMBELAJARAN GROUP INVESTIGATION UNTUK MENINGKATKAN KREATIVITAS SISWA PADA PELAJARAN PRODUKTIF

    Directory of Open Access Journals (Sweden)

    Ade Rustiana

    2012-06-01

    Full Text Available SMK bertujuan menciptakan lulusan yang siap kerja, sehingga siswanya perlu menguasai aspek psikomotorik dalam pembelajaran, salah satunya kreativitas siswa.Akan tetapi pembelajaran yang selama ini dilakukan di kelas X AP 3 SMK Negeri 1 Salatiga menunjukkan bahwa kreativitas siswa belum tampak.Kreativitas siswa dapat ditingkatkan melalui penerapan model pembelajaran ataupun penggunaan media pembelajaran. Untuk itu peneliti menerapkan model group investigation untuk meningkatkan kreativitas siswa dengan menerapkan metode penelitian tindakan kelas yang terdiri atas dua siklus. Hasil penelitian menunjukkan kreativitas siswa pada siklus I sebesar 70% dan meningkat pada siklus II menjadi 85%, sehingga dapat disimpulkan bahwa kreativitas siswa dapat ditingkatkan dengan menerapkan model group investigation. The object of vocational high school is create the graduate to ready to work, so the students must have master the psychomotor aspect in the learning objective, one of them the creativity. But, the learning has been done in class X AP 3 SMK Negeri 1 Salatiga shows if the creativity of students is not appear. Students creativity can increase by applying models or media of learning. So the researcher applying group investigation model to increase students creativity by using class action research method and consists of two circles. The research shows students creativity in the circle I is 70% and increase in the circle II be 85%. So can be conclude if students creativity can increase by applying group investigation models.

  4. A Low-Dimensional Model for the Maximal Amplification Factor of Bichromatic Wave Groups

    Directory of Open Access Journals (Sweden)

    W. N. Tan

    2003-11-01

    Full Text Available We consider a low-dimensional model derived from the nonlinear-Schrödinger equation that describes the evolution of a special class of surface gravity wave groups, namely bichromatic waves. The model takes only two modes into account, namely the primary mode and the third order mode which is known to be most relevant for bichromatic waves with small frequency difference. Given an initial condition, an analytical expression for the maximal amplitude of the evolution of this initial wave group according to the model can be readily obtained. The aim of this investigation is to predict the amplification factor defined as the quotient between the maximal amplitude over all time & space and the initial maximal amplitude. Although this is a problem of general interest, as a case study, initial conditions in the form of a bichromatic wave group are taken. Using the low dimensional model it is found that the least upper bound of the maximal amplification factor for this bichromatic wave group is √2. To validate the analytical results of this model, a numerical simulation on the full model is also performed. As can be expected, good agreement is observed between analytical and numerical solutions for a certain range of parameters; when the initial amplitude is not too large, or when the difference of frequency is not too small. The results are relevant and motivated for the generation of waves in hydrodynamic laboratories.

  5. Modeling and predicting abstract concept or idea introduction and propagation through geopolitical groups

    Science.gov (United States)

    Jaenisch, Holger M.; Handley, James W.; Hicklen, Michael L.

    2007-04-01

    This paper describes a novel capability for modeling known idea propagation transformations and predicting responses to new ideas from geopolitical groups. Ideas are captured using semantic words that are text based and bear cognitive definitions. We demonstrate a unique algorithm for converting these into analytical predictive equations. Using the illustrative idea of "proposing a gasoline price increase of 1 per gallon from 2" and its changing perceived impact throughout 5 demographic groups, we identify 13 cost of living Diplomatic, Information, Military, and Economic (DIME) features common across all 5 demographic groups. This enables the modeling and monitoring of Political, Military, Economic, Social, Information, and Infrastructure (PMESII) effects of each group to this idea and how their "perception" of this proposal changes. Our algorithm and results are summarized in this paper.

  6. Fermat Surface and Group Theory in Symmetry of Rapidity Family in Chiral Potts Model

    CERN Document Server

    Roan, Shi-shyr

    2013-01-01

    The present paper discusses various mathematical aspects about the rapidity symmetry in chiral Potts model (CPM) in the context of algebraic geometry and group theory . We re-analyze the symmetry group of a rapidity curve in $N$-state CPM, explore the universal group structure for all $N$, and further enlarge it to modular symmetries of the complete rapidity family in CPM. As will be shown in the article that all rapidity curves in $N$-state CPM constitute a Fermat hypersurface in $\\PZ^3$ of degree 2N as the natural generalization of the Fermat K3 elliptic surface $(N=2)$, we conduct a thorough algebraic geometry study about the rapidity fibration of Fermat surface and its reduced hyperelliptic fibration via techniques in algebraic surface theory. Symmetries of rapidity family in CPM and hyperelliptic family in $\\tau^{(2)}$-model are exhibited through the geometrical representation of the universal structural group in mathematics.

  7. Rational inattention and employer learning

    OpenAIRE

    Habermalz, Steffen

    2010-01-01

    Research on employer learning has provided important insights into the dynamic process that determines individual wages, especially during the early part of a worker's career. However, the recent evidence on the absence of employer learning for college graduates by Arcidiacono et al. (2008) and results that economic conditions at labor market entry have persistent effects on wages (for example Oreopoulos et al. (2008)) cast doubt on the model's validity. This paper extends the employer learni...

  8. Employing Second-Order Circular Suprasegmental Hidden Markov Models to Enhance Speaker Identification Performance in Shouted Talking Environments

    Directory of Open Access Journals (Sweden)

    Ismail Shahin

    2010-01-01

    Full Text Available Speaker identification performance is almost perfect in neutral talking environments. However, the performance is deteriorated significantly in shouted talking environments. This work is devoted to proposing, implementing, and evaluating new models called Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s to alleviate the deteriorated performance in the shouted talking environments. These proposed models possess the characteristics of both Circular Suprasegmental Hidden Markov Models (CSPHMMs and Second-Order Suprasegmental Hidden Markov Models (SPHMM2s. The results of this work show that CSPHMM2s outperform each of First-Order Left-to-Right Suprasegmental Hidden Markov Models (LTRSPHMM1s, Second-Order Left-to-Right Suprasegmental Hidden Markov Models (LTRSPHMM2s, and First-Order Circular Suprasegmental Hidden Markov Models (CSPHMM1s in the shouted talking environments. In such talking environments and using our collected speech database, average speaker identification performance based on LTRSPHMM1s, LTRSPHMM2s, CSPHMM1s, and CSPHMM2s is 74.6%, 78.4%, 78.7%, and 83.4%, respectively. Speaker identification performance obtained based on CSPHMM2s is close to that obtained based on subjective assessment by human listeners.

  9. Numerical analysis of nitrogen adsorption isotherms on active carbons by an employment of the new LBET class models.

    Science.gov (United States)

    Kwiatkowski, Mirosław

    2007-09-15

    The reported research concerns properties of the new LBET class models designed to describe the heterogeneous adsorption on microporous carbonaceous materials. In particular, the new adsorption models were used for the analysis of the microporous structure of two active carbons on the basis of nitrogen adsorption isotherms. This paper gives more information on the properties of the proposed identification technique.

  10. Exploring example models of cross-sector, sessional employment of pharmacists to improve medication management and pharmacy support in rural hospitals.

    Science.gov (United States)

    Tan, Amy Cw; Emmerton, Lynne M; Hattingh, Laetitia; La Caze, Adam

    2015-01-01

    Many rural hospitals in Australia are not large enough to sustain employment of a full-time pharmacist, or are unable to recruit or retain a full-time pharmacist. The absence of a pharmacist may result in hospital nurses undertaking medication-related roles outside their scope of practice. A potential solution to address rural hospitals' medication management needs is contracted part-time ('sessional') employment of a local pharmacist external to the hospital ('cross-sector'). The aim of this study was to explore the roles and experiences of pharmacists in their provision of sessional services to rural hospitals with no on-site pharmacist and explore how these roles could potentially address shortfalls in medication management in rural hospitals. A qualitative study was conducted to explore models with pharmacists who had provided sessional services to a rural hospital. A semi-structured interview guide was informed by a literature review, preliminary research and stakeholder consultation. Participants were recruited via advertisement and personal contacts. Consenting pharmacists were interviewed between August 2012 and January 2013 via telephone or Skype for 40-55 minutes. Thirteen pharmacists with previous or ongoing hospital sessional contracts in rural communities across Australia and New Zealand participated. Most commonly, the pharmacists provided weekly services to rural hospitals. All believed the sessional model was a practical solution to increase hospital access to pharmacist-mediated support and to address medication management gaps. Roles perceived to promote quality use of medicines were inpatient consultation services, medicines information/education to hospital staff, assistance with accreditation matters and system reviews, and input into pharmaceutical distribution activities. This study is the first to explore the concept of sessional rural hospital employment undertaken by pharmacists in Australia and New Zealand. Insights from participants

  11. Application and evaluation research on group decision-making model in English teaching

    Directory of Open Access Journals (Sweden)

    Dong Wei

    2016-01-01

    Full Text Available This paper researches the issues of English teaching by the use of the group decision-making hierarchical structural assessment model, which aims at clearly resolving the problems in the examination of the current English teaching, and quickly provides effective solutions. The group decision-making hierarchical structural assessment model can ultimately construct a quantitative index assessment system based on the weight analysis and combined with the multi-index quantification mode, thus flexibly and effectively solving fuzzy and complex problems. This paper will build a group decision-making hierarchical structural assessment model for English teaching in China, establish factors affecting level and measures scheme level, make a detailed quantita-tive weight evaluation analysis and find out an educational method that can effectively enhance the practicability of English in China.

  12. Bifactor model of WISC-IV: Applicability and measurement invariance in low and normal IQ groups.

    Science.gov (United States)

    Gomez, Rapson; Vance, Alasdair; Watson, Shaun

    2017-07-01

    This study examined the applicability and measurement invariance of the bifactor model of the 10 Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) core subtests in groups of children and adolescents (age range from 6 to 16 years) with low (IQ ≤79; N = 229; % male = 75.9) and normal (IQ ≥80; N = 816; % male = 75.0) IQ scores. Results supported this model in both groups, and there was good support for measurement invariance for this model across these groups. For all participants together, the omega hierarchical and explained common variance (ECV) values were high for the general factor and low to negligible for the specific factors. Together, the findings favor the use of the Full Scale IQ (FSIQ) scores of the WISC-IV, but not the subscale index scores. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  13. Snapshot Observation for 2D Classical Lattice Models by Corner Transfer Matrix Renormalization Group

    OpenAIRE

    Ueda, K.; Otani, R.; Nishio, Y; Gendiar, A.; Nishino, T

    2004-01-01

    We report a way of obtaining a spin configuration snapshot, which is one of the representative spin configurations in canonical ensemble, in a finite area of infinite size two-dimensional (2D) classical lattice models. The corner transfer matrix renormalization group (CTMRG), a variant of the density matrix renormalization group (DMRG), is used for the numerical calculation. The matrix product structure of the variational state in CTMRG makes it possible to stochastically fix spins each by ea...

  14. Modelling the exposure of wildlife to radiation: key findings and activities of IAEA working groups

    Energy Technology Data Exchange (ETDEWEB)

    Beresford, Nicholas A. [NERC Centre for Ecology and Hydrology, Lancaster Environment Center, Library Av., Bailrigg, Lancaster, LA1 4AP (United Kingdom); School of Environment and Life Sciences, University of Salford, Manchester, M4 4WT (United Kingdom); Vives i Batlle, Jordi; Vandenhove, Hildegarde [Belgian Nuclear Research Centre, Belgian Nuclear Research Centre, Boeretang 200, 2400 Mol (Belgium); Beaugelin-Seiller, Karine [Institut de Radioprotection et de Surete Nucleaire (IRSN), PRP-ENV, SERIS, LM2E, Cadarache (France); Johansen, Mathew P. [ANSTO Australian Nuclear Science and Technology Organisation, New Illawarra Rd, Menai, NSW (Australia); Goulet, Richard [Canadian Nuclear Safety Commission, Environmental Risk Assessment Division, 280 Slater, Ottawa, K1A0H3 (Canada); Wood, Michael D. [School of Environment and Life Sciences, University of Salford, Manchester, M4 4WT (United Kingdom); Ruedig, Elizabeth [Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins (United States); Stark, Karolina; Bradshaw, Clare [Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-10691 (Sweden); Andersson, Pal [Swedish Radiation Safety Authority, SE-171 16, Stockholm (Sweden); Copplestone, David [Biological and Environmental Sciences, University of Stirling, Stirling, FK9 4LA (United Kingdom); Yankovich, Tamara L.; Fesenko, Sergey [International Atomic Energy Agency, Vienna International Centre, 1400, Vienna (Austria)

    2014-07-01

    In total, participants from 14 countries, representing 19 organisations, actively participated in the model application/inter-comparison activities of the IAEA's EMRAS II programme Biota Modelling Group. A range of models/approaches were used by participants (e.g. the ERICA Tool, RESRAD-BIOTA, the ICRP Framework). The agreed objectives of the group were: 'To improve Member State's capabilities for protection of the environment by comparing and validating models being used, or developed, for biota dose assessment (that may be used) as part of the regulatory process of licensing and compliance monitoring of authorised releases of radionuclides.' The activities of the group, the findings of which will be described, included: - An assessment of the predicted unweighted absorbed dose rates for 74 radionuclides estimated by 10 approaches for five of the ICRPs Reference Animal and Plant geometries assuming 1 Bq per unit organism or media. - Modelling the effect of heterogeneous distributions of radionuclides in sediment profiles on the estimated exposure of organisms. - Model prediction - field data comparisons for freshwater ecosystems in a uranium mining area and a number of wetland environments. - An evaluation of the application of available models to a scenario considering radioactive waste buried in shallow trenches. - Estimating the contribution of {sup 235}U to dose rates in freshwater environments. - Evaluation of the factors contributing to variation in modelling results. The work of the group continues within the framework of the IAEA's MODARIA programme, which was initiated in 2012. The work plan of the MODARIA working group has largely been defined by the findings of the previous EMRAS programme. On-going activities of the working group, which will be described, include the development of a database of dynamic parameters for wildlife dose assessment and exercises involving modelling the exposure of organisms in the marine coastal

  15. Tensor renormalization group analysis of ${\\rm CP}(N-1)$ model in two dimensions

    CERN Document Server

    Kawauchi, Hikaru

    2015-01-01

    We apply the higher order tensor renormalization group to lattice CP($N-1$) model in two dimensions. A tensor network representation of CP($N-1$) model is derived. We confirm that the numerical results of the CP(1) model without the $\\theta$-term using this method are consistent with that of the O(3) model which is analyzed by the same method in the region $\\beta \\gg 1$ and that obtained by Monte Carlo simulation in a wider range of $\\beta$.

  16. Mathematical Model and Analysis of Negative Skin Friction of Pile Group in Consolidating Soil

    Directory of Open Access Journals (Sweden)

    Gangqiang Kong

    2013-01-01

    Full Text Available In order to calculate negative skin friction (NSF of pile group embedded in a consolidating soil, the dragload calculating formulas of single pile were established by considering Davis one-dimensional nonlinear consolidation soils settlement and hyperbolic load-transfer of pile-soil interface. Based on effective influence area theory, a simple semiempirical mathematical model of analysis for predicting the group effect of pile group under dragload was described. The accuracy and reliability of mathematical models built in this paper were verified by practical engineering comparative analysis. Case studies were studied, and the prediction values were found to be in good agreement with those of measured values. Then, the influences factors, such as, soil consolidation degree, the initial volume compressibility coefficient, and the stiffness of bearing soil, were analyzed and discussed. The results show that the mathematical models considering nonlinear soil consolidation and group effect can reflect the practical NSF of pile group effectively and accurately. The results of this paper can provide reference for practical pile group embedded in consolidating soil under NSF design and calculation.

  17. Renormalization group running of fermion observables in an extended non-supersymmetric SO(10) model

    Science.gov (United States)

    Meloni, Davide; Ohlsson, Tommy; Riad, Stella

    2017-03-01

    We investigate the renormalization group evolution of fermion masses, mixings and quartic scalar Higgs self-couplings in an extended non-supersymmetric SO(10) model, where the Higgs sector contains the 10 H, 120 H, and 126 H representations. The group SO(10) is spontaneously broken at the GUT scale to the Pati-Salam group and subsequently to the Standard Model (SM) at an intermediate scale M I. We explicitly take into account the effects of the change of gauge groups in the evolution. In particular, we derive the renormalization group equations for the different Yukawa couplings. We find that the computed physical fermion observables can be successfully matched to the experimental measured values at the electroweak scale. Using the same Yukawa couplings at the GUT scale, the measured values of the fermion observables cannot be reproduced with a SM-like evolution, leading to differences in the numerical values up to around 80%. Furthermore, a similar evolution can be performed for a minimal SO(10) model, where the Higgs sector consists of the 10 H and 126 H representations only, showing an equally good potential to describe the low-energy fermion observables. Finally, for both the extended and the minimal SO(10) models, we present predictions for the three Dirac and Majorana CP-violating phases as well as three effective neutrino mass parameters.

  18. Demography-based adaptive network model reproduces the spatial organization of human linguistic groups

    Science.gov (United States)

    Capitán, José A.; Manrubia, Susanna

    2015-12-01

    The distribution of human linguistic groups presents a number of interesting and nontrivial patterns. The distributions of the number of speakers per language and the area each group covers follow log-normal distributions, while population and area fulfill an allometric relationship. The topology of networks of spatial contacts between different linguistic groups has been recently characterized, showing atypical properties of the degree distribution and clustering, among others. Human demography, spatial conflicts, and the construction of networks of contacts between linguistic groups are mutually dependent processes. Here we introduce an adaptive network model that takes all of them into account and successfully reproduces, using only four model parameters, not only those features of linguistic groups already described in the literature, but also correlations between demographic and topological properties uncovered in this work. Besides their relevance when modeling and understanding processes related to human biogeography, our adaptive network model admits a number of generalizations that broaden its scope and make it suitable to represent interactions between agents based on population dynamics and competition for space.

  19. Behavior of pre-stress group anchors--Theory approach and model

    Institute of Scientific and Technical Information of China (English)

    HE Siming; WANG Chenghua; QIAO Jianping

    2003-01-01

    First of all the pre-stress group anchor ropes are resolved into two sub-systems: the stable rock stand lateral resistance load and inner bonding section stand lateral resistance load and pre-stress load. Then, discretization of every sub-system was carried on and it is assumed that different micro-sections possess uniform distribution side resistance. On the basis of Mindlin stress solution, stress overlay principle, modified layered-summation method as well as the load transfer method, we study the anchor group effect and present a theory model which calculates the anchor group effect and establishes the relevant iterate standard.

  20. The respiratory tract deposition model proposed by the ICRP Task Group

    Energy Technology Data Exchange (ETDEWEB)

    James, A.C.; Briant, J.K. (Pacific Northwest Lab., Richland, WA (USA)); Stahlhofen, W.; Rudolf, G. (Gesellschaft fuer Strahlen- und Umweltforschung mbH Muenchen, Frankfurt am Main (Germany, F.R.). Abt. fuer Biophysikalische Strahlenforschung); Egan, M.J.; Nixon, W. (AEA Safety and Reliability, Culcheth (UK)); Gehr, P. (Bern Univ. (Switzerland). Anatomisches Inst.)

    1990-11-01

    The Task Group has developed a new model of the deposition of inhaled aerosols in each anatomical region of the respiratory tract. The model is used to evaluate the fraction of airborne activity that is deposited in respiratory regions having distinct retention characteristics and clearance pathways: the anterior nares, the extrathoracic airways of the naso- and oropharynx and larynx, the bronchi, the bronchioles, and the alveolated airways of the lung. Drawn from experimental data on total and regional deposition in human subjects, the model is based on extrapolation of these data by means of a detailed theoretical model of aerosol transport and deposition within the lung. The Task Group model applies to all practical conditions, and for aerosol particles and vapors from atomic size up to very coarse aerosols with an activity median aerodynamic diameter of 100 {mu}m. The model is designed to predict regional deposition in different subjects, including adults of either sex, children of various ages, and infants, and also to account for anatomical differences among Caucasian and non-Caucasian subjects. The Task Group model represents aerosol inhalability and regional deposition in different subjects by algebraic expressions of aerosol size, breathing rates, standard lung volumes, and scaling factors for airway dimensions. 35 refs., 13 figs., 2 tabs.

  1. The collaborative model of fieldwork education: a blueprint for group supervision of students.

    Science.gov (United States)

    Hanson, Debra J; DeIuliis, Elizabeth D

    2015-04-01

    Historically, occupational therapists have used a traditional one-to-one approach to supervision on fieldwork. Due to the impact of managed care on health-care delivery systems, a dramatic increase in the number of students needing fieldwork placement, and the advantages of group learning, the collaborative supervision model has evolved as a strong alternative to an apprenticeship supervision approach. This article builds on the available research to address barriers to model use, applying theoretical foundations of collaborative supervision to practical considerations for academic fieldwork coordinators and fieldwork educators as they prepare for participation in group supervision of occupational therapy and occupational therapy assistant students on level II fieldwork.

  2. 3D continuum phonon model for group-IV 2D materials

    DEFF Research Database (Denmark)

    Willatzen, Morten; Lew Yan Voon, Lok C.; Gandi, Appala Naidu

    2017-01-01

    . In this paper, we use the model to not only compare the phonon spectra among the group-IV materials but also to study whether these phonons differ from those of a compound material such as molybdenum disulfide. The origin of quadratic modes is clarified. Mode coupling for both graphene and silicene is obtained......, contrary to previous works. Our model allows us to predict the existence of confined optical phonon modes for the group-IV materials but not for molybdenum disulfide. A comparison of the long-wavelength modes to density-functional results is included....

  3. SU(3)simple group model and single top production at the e-γ colliders

    Institute of Scientific and Technical Information of China (English)

    LIU Yao-Bei; WANG Xue-Lei; REN Xiao-Yan; CAO Yong-Hua

    2008-01-01

    In the framework of the SU(3) simple group model,we consider the single top quark production process e-γ→,νebt.We find that the correction effects on the process mainly come from the terms of the tree-level Wqq'couplings.In the reasonable parameter space of the SU(3) simple group model,the deviation of the total production cross section σtot from its SM value is larger than 5%,which might be detected in the future high energy linear e+e- coUider (LC) experiments.

  4. Validation and Use of a Predictive Modeling Tool: Employing Scientific Findings to Improve Responsible Conduct of Research Education.

    Science.gov (United States)

    Mulhearn, Tyler J; Watts, Logan L; Todd, E Michelle; Medeiros, Kelsey E; Connelly, Shane; Mumford, Michael D

    2017-01-01

    Although recent evidence suggests ethics education can be effective, the nature of specific training programs, and their effectiveness, varies considerably. Building on a recent path modeling effort, the present study developed and validated a predictive modeling tool for responsible conduct of research education. The predictive modeling tool allows users to enter ratings in relation to a given ethics training program and receive instantaneous evaluative information for course refinement. Validation work suggests the tool's predicted outcomes correlate strongly (r = 0.46) with objective course outcomes. Implications for training program development and refinement are discussed.

  5. The Process Model of Group-Based Emotion: Integrating Intergroup Emotion and Emotion Regulation Perspectives.

    Science.gov (United States)

    Goldenberg, Amit; Halperin, Eran; van Zomeren, Martijn; Gross, James J

    2016-05-01

    Scholars interested in emotion regulation have documented the different goals and strategies individuals have for regulating their emotions. However, little attention has been paid to the regulation of group-based emotions, which are based on individuals' self-categorization as a group member and occur in response to situations perceived as relevant for that group. We propose a model for examining group-based emotion regulation that integrates intergroup emotions theory and the process model of emotion regulation. This synergy expands intergroup emotion theory by facilitating further investigation of different goals (i.e., hedonic or instrumental) and strategies (e.g., situation selection and modification strategies) used to regulate group-based emotions. It also expands emotion regulation research by emphasizing the role of self-categorization (e.g., as an individual or a group member) in the emotional process. Finally, we discuss the promise of this theoretical synergy and suggest several directions for future research on group-based emotion regulation. © 2015 by the Society for Personality and Social Psychology, Inc.

  6. The development of a competency-based group health teaching performance examination model for BSN graduates.

    Science.gov (United States)

    Tai, Chun-Yi; Chung, Ue-Lin

    2008-12-01

    Under the current nursing education system in Taiwan, a fair and objective evaluation of group health teaching competency has been lacking for a long time. Therefore, the purpose of this study was to establish a competency-based group health teaching performance examination model for baccalaureate graduates. Action research was the main research methodology used in this study. The research consisted of two phases. In the first phase, a development committee was established. Based on routine discussions, literature reviews and realistic cases, a draft examination model with quasi-clinical situation model content and procedure was developed. Examination Facility Preparations, Simulated Scenarios and Client Recruitments, Examination Result Evaluation (evaluated by teachers) and Learning Guidelines were also prepared. This draft was reviewed twice for expert opinion, a pilot test was done and both the draft and pilot testing were reviewed again before the draft was finalized. The second phase involved refining the examination model by actually practicing the completed draft examination model in a simulated group-teaching setting in order to examine the model's reliability and validity. Fifteen people were involved in this experiment: three nursing personnel each having at least two years' clinical and teaching experience; three nursing students who did not have actual clinical experience and had not taken the course of teaching principles; three senior teachers; and six virtual patients. The responses from the nursing personnel, nursing students, teachers, and virtual patients who participated in the testing were gathered and integrated to refine the model. The model has content, expert and discriminative validity. The reliability of the model was proven by the high consistency in administration and scoring of the model by clinical examiners. This examination model is not only applicable for the proof of students' credit point exemption, but also as an alternative

  7. Heritability of longevity in Large White and Landrace sows using continuous time and grouped data models

    Directory of Open Access Journals (Sweden)

    Sölkner Johann

    2010-05-01

    Full Text Available Abstract Background Using conventional measurements of lifetime, it is not possible to differentiate between productive and non-productive days during a sow's lifetime and this can lead to estimated breeding values favoring less productive animals. By rescaling the time axis from continuous to several discrete classes, grouped survival data (discrete survival time models can be used instead. Methods The productive life length of 12319 Large White and 9833 Landrace sows was analyzed with continuous scale and grouped data models. Random effect of herd*year, fixed effects of interaction between parity and relative number of piglets, age at first farrowing and annual herd size change were included in the analysis. The genetic component was estimated from sire, sire-maternal grandsire, sire-dam, sire-maternal grandsire and animal models, and the heritabilities computed for each model type in both breeds. Results If age at first farrowing was under 43 weeks or above 60 weeks, the risk of culling sows increased. An interaction between parity and relative litter size was observed, expressed by limited culling during first parity and severe risk increase of culling sows having small litters later in life. In the Landrace breed, heritabilities ranged between 0.05 and 0.08 (s.e. 0.014-0.020 for the continuous and between 0.07 and 0.11 (s.e. 0.016-0.023 for the grouped data models, and in the Large White breed, they ranged between 0.08 and 0.14 (s.e. 0.012-0.026 for the continuous and between 0.08 and 0.13 (s.e. 0.012-0.025 for the grouped data models. Conclusions Heritabilities for length of productive life were similar with continuous time and grouped data models in both breeds. Based on these results and because grouped data models better reflect the economical needs in meat animals, we conclude that grouped data models are more appropriate in pig.

  8. Euler Technology Assessment - SPLITFLOW Code Applications for Stability and Control Analysis on an Advanced Fighter Model Employing Innovative Control Concepts

    Science.gov (United States)

    Jordan, Keith J.

    1998-01-01

    This report documents results from the NASA-Langley sponsored Euler Technology Assessment Study conducted by Lockheed-Martin Tactical Aircraft Systems (LMTAS). The purpose of the study was to evaluate the ability of the SPLITFLOW code using viscous and inviscid flow models to predict aerodynamic stability and control of an advanced fighter model. The inviscid flow model was found to perform well at incidence angles below approximately 15 deg, but not as well at higher angles of attack. The results using a turbulent, viscous flow model matched the trends of the wind tunnel data, but did not show significant improvement over the Euler solutions. Overall, the predictions were found to be useful for stability and control design purposes.

  9. Reducing Societal Obesity: Establishing a Separate Exercise Model through Studies of Group Behavior

    Directory of Open Access Journals (Sweden)

    J. S. Puterbaugh

    2016-01-01

    Full Text Available The past 50 years has brought attention to high and increasing levels of human obesity in most of the industrialized world. The medical profession has noticed, has evaluated, and has developed models for studying, preventing, and reversing obesity. The current model prescribes activity in specific quantities such as days, minutes, heart rates, and footfalls. Although decreased levels of activity have come from changes revolving around built environments and social networks, the existing medical model to lower body weights by increasing activity remains individually prescriptive. It is not working. The study of societal obesity precludes the individual and must involve group behavioral studies. Such studies necessitate acquiring separate tools and, therefore, require a significant change in the evaluation and treatment of obesity. Finding groups with common activities and lower levels of obesity would allow the development of new models of land use and encourage active lifestyles through shared interests.

  10. Guidelines for a priori grouping of species in hierarchical community models

    Science.gov (United States)

    Pacifici, Krishna; Zipkin, Elise; Collazo, Jaime; Irizarry, Julissa I.; DeWan, Amielle A.

    2014-01-01

    Recent methodological advances permit the estimation of species richness and occurrences for rare species by linking species-level occurrence models at the community level. The value of such methods is underscored by the ability to examine the influence of landscape heterogeneity on species assemblages at large spatial scales. A salient advantage of community-level approaches is that parameter estimates for data-poor species are more precise as the estimation process borrows from data-rich species. However, this analytical benefit raises a question about the degree to which inferences are dependent on the implicit assumption of relatedness among species. Here, we assess the sensitivity of community/group-level metrics, and individual-level species inferences given various classification schemes for grouping species assemblages using multispecies occurrence models. We explore the implications of these groupings on parameter estimates for avian communities in two ecosystems: tropical forests in Puerto Rico and temperate forests in northeastern United States. We report on the classification performance and extent of variability in occurrence probabilities and species richness estimates that can be observed depending on the classification scheme used. We found estimates of species richness to be most precise and to have the best predictive performance when all of the data were grouped at a single community level. Community/group-level parameters appear to be heavily influenced by the grouping criteria, but were not driven strictly by total number of detections for species. We found different grouping schemes can provide an opportunity to identify unique assemblage responses that would not have been found if all of the species were analyzed together. We suggest three guidelines: (1) classification schemes should be determined based on study objectives; (2) model selection should be used to quantitatively compare different classification approaches; and (3) sensitivity

  11. Employer's investments in hospital workers' employability and employment opportunities

    NARCIS (Netherlands)

    van Harten, E.J.; Knies, E.; Leisink, P.L.M.

    2016-01-01

    Purpose – The purpose of this paper is to examine the relationship between employer’s investments (through job characteristics and managerial support) and employees’ employment opportunities, with employability, conceptualized as perceived up-to-date expertise and willingness to change, as a mediati

  12. 基于胜任素质模型的高职学生就业能力培养%Vocational Students' Employability Training Based on Competency Model

    Institute of Scientific and Technical Information of China (English)

    王庚

    2014-01-01

    高职学生的就业能力培养是一项系统工程,依据企业人力资源管理中胜任素质模型,培养符合企业需要的应用型技术人才,对于提高高职教育人才培养质量,提高高职学生的就业能力具有重要的促进作用。%Vocational students' employability training is a systematic project, according to human resource manage-ment competency model, develops applications in line with business needs and technical personnel, to improve the quality of vocational education training personnel, improving the employability of vocational students have important role in promoting.

  13. Critical properties of the classical Heisenberg and XY models : A mean field renormalization group study

    Directory of Open Access Journals (Sweden)

    A. Sadeghi

    2007-03-01

    Full Text Available  Using both mean field renormalization group (MFRG and Surface-Bulk MFRG (SBMFRG, we study the critical behavior of the classical Heisenberg and XY models on a simple cubic lattice. Critical temperatures as well as critical exponents, characteristic the universality classes of these two models were calculated, analytically for1, 2, 3 and 4 spin clusters. The results are in good agreement with higher accurate methods such as Monte Carlo and High- temperature series.

  14. Multiple-membership multiple-classification models for social network and group dependences

    OpenAIRE

    Tranmer, Mark; Steel, David; Browne, William J

    2014-01-01

    The social network literature on network dependences has largely ignored other sources of dependence, such as the school that a student attends, or the area in which an individual lives. The multilevel modelling literature on school and area dependences has, in turn, largely ignored social networks. To bridge this divide, a multiple-membership multiple-classification modelling approach for jointly investigating social network and group dependences is presented. This allows social network and ...

  15. Generalization of Weber's adiabatic bond charge model to amorphous group IV semiconductors

    Science.gov (United States)

    Winer, K.; Wooten, F.

    1984-11-01

    The generalization of Weber's adiabatic bond charge model to amorphous group IV semiconductors is described. Methods of relaxing the coordinates to their equilibrium configuration and of calculating the dynamical matrix for the phonon spectra are given. Particular emphasis is given to the optimization of the Coulomb subroutines required in this model. Estimates of computation time are included for the calculation of equilibrium configuration on a Cray computer.

  16. Transferable tight binding model for strained group IV and III-V heterostructures

    Science.gov (United States)

    Tan, Yaohua; Povolotskyi, Micheal; Kubis, Tillmann; Boykin, Timothy; Klimeck, Gerhard

    Modern semiconductor devices have reached critical device dimensions in the range of several nanometers. For reliable prediction of device performance, it is critical to have a numerical efficient model that are transferable to material interfaces. In this work, we present an empirical tight binding (ETB) model with transferable parameters for strained IV and III-V group semiconductors. The ETB model is numerically highly efficient as it make use of an orthogonal sp3d5s* basis set with nearest neighbor inter-atomic interactions. The ETB parameters are generated from HSE06 hybrid functional calculations. Band structures of strained group IV and III-V materials by ETB model are in good agreement with corresponding HSE06 calculations. Furthermore, the ETB model is applied to strained superlattices which consist of group IV and III-V elements. The ETB model turns out to be transferable to nano-scale hetero-structure. The ETB band structures agree with the corresponding HSE06 results in the whole Brillouin zone. The ETB band gaps of superlattices with common cations or common anions have discrepancies within 0.05eV.

  17. Modeling group size and scalar stress by logistic regression from an archaeological perspective.

    Directory of Open Access Journals (Sweden)

    Gianmarco Alberti

    Full Text Available Johnson's scalar stress theory, describing the mechanics of (and the remedies to the increase in in-group conflictuality that parallels the increase in groups' size, provides scholars with a useful theoretical framework for the understanding of different aspects of the material culture of past communities (i.e., social organization, communal food consumption, ceramic style, architecture and settlement layout. Due to its relevance in archaeology and anthropology, the article aims at proposing a predictive model of critical level of scalar stress on the basis of community size. Drawing upon Johnson's theory and on Dunbar's findings on the cognitive constrains to human group size, a model is built by means of Logistic Regression on the basis of the data on colony fissioning among the Hutterites of North America. On the grounds of the theoretical framework sketched in the first part of the article, the absence or presence of colony fissioning is considered expression of not critical vs. critical level of scalar stress for the sake of the model building. The model, which is also tested against a sample of archaeological and ethnographic cases: a confirms the existence of a significant relationship between critical scalar stress and group size, setting the issue on firmer statistical grounds; b allows calculating the intercept and slope of the logistic regression model, which can be used in any time to estimate the probability that a community experienced a critical level of scalar stress; c allows locating a critical scalar stress threshold at community size 127 (95% CI: 122-132, while the maximum probability of critical scale stress is predicted at size 158 (95% CI: 147-170. The model ultimately provides grounds to assess, for the sake of any further archaeological/anthropological interpretation, the probability that a group reached a hot spot of size development critical for its internal cohesion.

  18. How does group antenatal care function within a caseload midwifery model? A critical ethnographic analysis.

    Science.gov (United States)

    Allen, J; Kildea, S; Stapleton, H

    2015-05-01

    caseload midwifery and CenteringPregnancy™ (a form of group antenatal care) are two models of maternity care that are separately associated with better clinical outcomes, maternal satisfaction scores and positive experiences compared to standard care. One study reported exclusively on younger women׳s experiences of caseload midwifery; none described younger women׳s experiences of group antenatal care. We retrieved no studies on the experiences of women who received a combination of caseload midwifery and group antenatal care. examine younger women׳s experiences of caseload midwifery in a setting that incorporates group antenatal care. a critical, focused ethnographic approach. the study was conducted in an Australian hospital and its associated community venue from 2011 to 2013. purposive sampling of younger (19-22 years) pregnant and postnatal women (n=10) and the caseload midwives (n=4) who provided group antenatal care within one midwifery group practice. separate focus group interviews with women and caseload midwives, observations of the setting and delivery of group antenatal care, and examination of selected documents. Thematic analyses of the women׳s accounts have been given primary significance. Coded segments of the midwives interview data, field notes and documents were used to compare and contrast within these themes. we report on women׳s first encounters with the group, and their interactions with peers and midwives. The group setting minimised the opportunity for the women and midwives to get to know each other. this study challenges the practice of combining group antenatal care with caseload midwifery and recommends further research. Copyright © 2015 Elsevier Ltd. All rights reserved.

  19. Clinical group supervision in yoga therapy: model effects, and lessons learned.

    Science.gov (United States)

    Forbes, Bo; Volpe Horii, Cassandra; Earls, Bethany; Mashek, Stephanie; Akhtar, Fiona

    2012-01-01

    Clinical supervision is an integral component of therapist training and professional development because of its capacity for fostering knowledge, self-awareness, and clinical acumen. Individual supervision is part of many yoga therapy training programs and is referenced in the IAYT Standards as "mentoring." Group supervision is not typically used in the training of yoga therapists. We propose that group supervision effectively supports the growth and development of yoga therapists-in-training. We present a model of group supervision for yoga therapist trainees developed by the New England School of Integrative Yoga Therapeutics™ (The NESIYT Model) that includes the background, structure, format, and development of our inaugural 18-month supervision group. Pre-and post-supervision surveys and analyzed case notes, which captured key didactic and process themes, are discussed. Clinical issues, such as boundaries, performance anxiety, sense of self efficacy, the therapeutic alliance, transference and counter transference, pacing of yoga therapy sessions, evaluation of client progress, and adjunct therapist interaction are reviewed. The timing and sequence of didactic and process themes and benefits for yoga therapist trainees' professional development, are discussed. The NESIYT group supervision model is offered as an effective blueprint for yoga therapy training programs.

  20. Theoretical study of chlordecone and surface groups interaction in an activated carbon model under acidic and neutral conditions.

    Science.gov (United States)

    Gamboa-Carballo, Juan José; Melchor-Rodríguez, Kenia; Hernández-Valdés, Daniel; Enriquez-Victorero, Carlos; Montero-Alejo, Ana Lilian; Gaspard, Sarra; Jáuregui-Haza, Ulises Javier

    2016-04-01

    Activated carbons (ACs) are widely used in the purification of drinking water without almost any knowledge about the adsorption mechanisms of the persistent organic pollutants. Chlordecone (CLD, Kepone) is an organochlorinated synthetic compound that has been used mainly as agricultural insecticide. CLD has been identified and listed as a persistent organic pollutant by the Stockholm Convention. The selection of the best suited AC for this type of contaminants is mainly an empirical and costly process. A theoretical study of the influence of AC surface groups (SGs) on CLD adsorption is done in order to help understanding the process. This may provide a first selection criteria for the preparation of AC with suitable surface properties. A model of AC consisting of a seven membered ring graphene sheet (coronene) with a functional group on the edge was used to evaluate the influence of the SGs over the adsorption. Multiple Minima Hypersurface methodology (MMH) coupled with PM7 semiempirical Hamiltonian was employed in order to study the interactions of the chlordecone with SGs (hydroxyl and carboxyl) at acidic and neutral pH and different hydration conditions. Selected structures were re-optimized using CAM-B3LYP to achieve a well-defined electron density to characterize the interactions by the Quantum Theory of Atoms in Molecules approach. The deprotonated form of surface carboxyl and hydroxyl groups of AC models show the strongest interactions, suggesting a chemical adsorption. An increase in carboxylic SGs content is proposed to enhance CLD adsorption onto AC at neutral pH conditions.

  1. Impact Evaluation of a Cognitive Behavioral Group Therapy Model in Brazilian Sexually Abused Girls

    Science.gov (United States)

    Habigzang, Luisa Fernanda; Damasio, Bruno Figueiredo; Koller, Silvia Helena

    2013-01-01

    This study evaluated the impact of a cognitive behavioral group therapy model in Brazilian girls who had experienced sexual abuse. The effect of the waiting period before treatment and the enduring effectiveness of the treatment after six and 12 months were also evaluated. Forty-nine female sexual abuse victims between the ages of 9 and 16…

  2. Virtual and Printed 3D Models for Teaching Crystal Symmetry and Point Groups

    Science.gov (United States)

    Casas, Lluís; Estop, Euge`nia

    2015-01-01

    Both, virtual and printed 3D crystal models can help students and teachers deal with chemical education topics such as symmetry and point groups. In the present paper, two freely downloadable tools (interactive PDF files and a mobile app) are presented as examples of the application of 3D design to study point-symmetry. The use of 3D printing to…

  3. Correlated lattice models in the local approximation-aspects of a numerical renormalization group treatment

    Energy Technology Data Exchange (ETDEWEB)

    Pruschke, T.; Bulla, R. [Institute fuer Theoretische Physik der Universitaet, Regensburg (Germany)

    1995-05-01

    The numerical renormalization group method is applied to an Anderson impurity with an energy dependent coupling to the conduction band. We describe how the discrete spectra resulting from the numerical calculation can be reliably smoothed using a continued fraction expansion. The investigations are connected with the study of models in infinite spatial dimensions.

  4. An Evaluation of Latent Growth Models for Propensity Score Matched Groups

    Science.gov (United States)

    Leite, Walter L.; Sandbach, Robert; Jin, Rong; MacInnes, Jann W.; Jackman, M. Grace-Anne

    2012-01-01

    Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and…

  5. Variations on a Theme: As Needs Change, New Models of Critical Friends Groups Emerge

    Science.gov (United States)

    Fahey, Kevin; Ippolito, Jacy

    2015-01-01

    The Critical Friends Group, a highly articulated model of professional learning, posits that, in order for teachers to learn together in ways that change their practice, the content and nature of their conversations must change (National School Reform Faculty, 2012). The content needs to change from externally driven agendas that address (in a…

  6. Applying the Codependency Model to a Group for Families of Obsessive-Compulsive People.

    Science.gov (United States)

    Cooper, Marlene

    1995-01-01

    Applies codependency group model to families of obsessive-compulsive people based on view that these families are normal, feeling people who are trying to cope with unremitting stress. Clinical vignettes illustrate how these families are similar to families of alcoholics in their management of emotions and in their dysfunctional behaviors. (JBJ)

  7. Applying the Codependency Model to a Group for Families of Obsessive-Compulsive People.

    Science.gov (United States)

    Cooper, Marlene

    1995-01-01

    Applies codependency group model to families of obsessive-compulsive people based on view that these families are normal, feeling people who are trying to cope with unremitting stress. Clinical vignettes illustrate how these families are similar to families of alcoholics in their management of emotions and in their dysfunctional behaviors. (JBJ)

  8. Interest groups: a survey of empirical models that try to assess their influence

    NARCIS (Netherlands)

    Potters, J.J.M.; Sloof, R.

    1996-01-01

    Substantial political power is often attributed to interest groups. The origin of this power is not quite clear, though, and the mechanisms by which influence is effectuated are not yet fully understood. The last two decades have yielded a vast number of studies which use empirical models to assess

  9. Teaching Play Skills to Children with Autism through Video Modeling: Small Group Arrangement and Observational Learning

    Science.gov (United States)

    Ozen, Arzu; Batu, Sema; Birkan, Binyamin

    2012-01-01

    The purpose of the present study was to examine if video modeling was an effective way of teaching sociodramatic play skills to individuals with autism in a small group arrangement. Besides maintenance, observational learning and social validation data were collected. Three 9 year old boys with autism participated in the study. Multiple probe…

  10. Surprising convergence of the Monte Carlo renormalization group for the three-dimensional Ising model.

    Science.gov (United States)

    Ron, Dorit; Brandt, Achi; Swendsen, Robert H

    2017-05-01

    We present a surprisingly simple approach to high-accuracy calculations of the critical properties of the three-dimensional Ising model. The method uses a modified block-spin transformation with a tunable parameter to improve convergence in the Monte Carlo renormalization group. The block-spin parameter must be tuned differently for different exponents to produce optimal convergence.

  11. An Agent-Based Model of Status Construction in Task Focused Groups

    NARCIS (Netherlands)

    Grow, André; Flache, Andreas; Wittek, Rafael

    2015-01-01

    Status beliefs link social distinctions, such as gender and race, to assumptions about competence and social worth. Recent modeling work in status construction theory suggests that interactions in small, task focused groups can lead to the spontaneous emergence and diffusion of such beliefs in large

  12. Analysis of Feedback Processes in Online Group Interaction: A Methodological Model

    Science.gov (United States)

    Espasa, Anna; Guasch, Teresa; Alvarez, Ibis M.

    2013-01-01

    The aim of this article is to present a methodological model to analyze students' group interaction to improve their essays in online learning environments, based on asynchronous and written communication. In these environments teacher and student scaffolds for discussion are essential to promote interaction. One of these scaffolds can be the…

  13. Plant parameters for plant functional groups of western rangelands to enable process-based simulation modeling

    Science.gov (United States)

    Regional environmental assessments with process-based models require realistic estimates of plant parameters for the primary plant functional groups in the region. “Functional group” in this context is an operational term, based on similarities in plant type and in plant parameter values. Likewise...

  14. Outlier treatment for improving parameter estimation of group contribution based models for upper flammability limit

    DEFF Research Database (Denmark)

    Frutiger, Jerome; Abildskov, Jens; Sin, Gürkan

    2015-01-01

    Flammability data is needed to assess the risk of fire and explosions. This study presents a new group contribution (GC) model to predict the upper flammability limit UFL oforganic chemicals. Furthermore, it provides a systematic method for outlier treatment inorder to improve the parameter...

  15. Supervision of Group Work: A Model to Increase Supervisee Cognitive Complexity

    Science.gov (United States)

    Granello, Darcy Haag; Underfer-Babalis, Jean

    2004-01-01

    This article describes a model for supervisors of group counselors to use to promote cognitive complexity in their supervisees. Counselor cognitive complexity has been linked to many positive counseling skills, including greater flexibility, empathy, confidence, and client conceptualization. Bloom's Taxonomy of Educational Objectives provides a…

  16. Adaptive Grouping Cloud Model Shuffled Frog Leaping Algorithm for Solving Continuous Optimization Problems

    Directory of Open Access Journals (Sweden)

    Haorui Liu

    2016-01-01

    Full Text Available The shuffled frog leaping algorithm (SFLA easily falls into local optimum when it solves multioptimum function optimization problem, which impacts the accuracy and convergence speed. Therefore this paper presents grouped SFLA for solving continuous optimization problems combined with the excellent characteristics of cloud model transformation between qualitative and quantitative research. The algorithm divides the definition domain into several groups and gives each group a set of frogs. Frogs of each region search in their memeplex, and in the search process the algorithm uses the “elite strategy” to update the location information of existing elite frogs through cloud model algorithm. This method narrows the searching space and it can effectively improve the situation of a local optimum; thus convergence speed and accuracy can be significantly improved. The results of computer simulation confirm this conclusion.

  17. Research on group expandable optimization decision-ms,king model for construction programme choice

    Institute of Scientific and Technical Information of China (English)

    Yan Hongyan

    2012-01-01

    Aiming at the decision-making problem of construction programme choice, this paper advanced a new group expandable optimization decision-making model. Various factors were comprehensively considered, and the new multi- attribute evaluation index system was established. Based on the assumption that decision-makers were rational, this pa- per formed a group of rational preferences through extracting the personal preferences pertinently, so the decision-makers position matrix was determined. The decision-makers position matrix integrated values given by group decision-makers to construction programme comprised a matrix, of which the entropy theory for data mining was adopted in this paper to determine the attribute weights. A decision was made by using the extension decision method. Eventually, the feasibility and practicability of the model were verified by the example.

  18. Adaptive Grouping Cloud Model Shuffled Frog Leaping Algorithm for Solving Continuous Optimization Problems.

    Science.gov (United States)

    Liu, Haorui; Yi, Fengyan; Yang, Heli

    2016-01-01

    The shuffled frog leaping algorithm (SFLA) easily falls into local optimum when it solves multioptimum function optimization problem, which impacts the accuracy and convergence speed. Therefore this paper presents grouped SFLA for solving continuous optimization problems combined with the excellent characteristics of cloud model transformation between qualitative and quantitative research. The algorithm divides the definition domain into several groups and gives each group a set of frogs. Frogs of each region search in their memeplex, and in the search process the algorithm uses the "elite strategy" to update the location information of existing elite frogs through cloud model algorithm. This method narrows the searching space and it can effectively improve the situation of a local optimum; thus convergence speed and accuracy can be significantly improved. The results of computer simulation confirm this conclusion.

  19. Effects of intermediate scales on renormalization group running of fermion observables in an SO(10) model

    CERN Document Server

    Meloni, Davide; Riad, Stella

    2014-01-01

    In the context of non-supersymmetric SO(10) models, we analyze the renormalization group equations for the fermions (including neutrinos) from the GUT energy scale down to the electroweak energy scale, explicitly taking into account the effects of an intermediate energy scale induced by a Pati--Salam gauge group. To determine the renormalization group running, we use a numerical minimization procedure based on a nested sampling algorithm that randomly generates the values of 19 model parameters at the GUT scale, evolves them, and finally constructs the values of the physical observables and compares them to the existing experimental data at the electroweak scale. We show that the evolved fermion masses and mixings present sizable deviations from the values obtained without including the effects of the intermediate scale.

  20. Effects of intermediate scales on renormalization group running of fermion observables in an SO(10) model

    Science.gov (United States)

    Meloni, Davide; Ohlsson, Tommy; Riad, Stella

    2014-12-01

    In the context of non-supersymmetric SO(10) models, we analyze the renormalization group equations for the fermions (including neutrinos) from the GUT energy scale down to the electroweak energy scale, explicitly taking into account the effects of an intermediate energy scale induced by a Pati-Salam gauge group. To determine the renormalization group running, we use a numerical minimization procedure based on a nested sampling algorithm that randomly generates the values of 19 model parameters at the GUT scale, evolves them, and finally constructs the values of the physical observables and compares them to the existing experimental data at the electroweak scale. We show that the evolved fermion masses and mixings present sizable deviations from the values obtained without including the effects of the intermediate scale.

  1. Predictive modeling in Clostridium acetobutylicum fermentations employing Raman spectroscopy and multivariate data analysis for real-time culture monitoring

    Science.gov (United States)

    Zu, Theresah N. K.; Liu, Sanchao; Germane, Katherine L.; Servinsky, Matthew D.; Gerlach, Elliot S.; Mackie, David M.; Sund, Christian J.

    2016-05-01

    The coupling of optical fibers with Raman instrumentation has proven to be effective for real-time monitoring of chemical reactions and fermentations when combined with multivariate statistical data analysis. Raman spectroscopy is relatively fast, with little interference from the water peak present in fermentation media. Medical research has explored this technique for analysis of mammalian cultures for potential diagnosis of some cancers. Other organisms studied via this route include Escherichia coli, Saccharomyces cerevisiae, and some Bacillus sp., though very little work has been performed on Clostridium acetobutylicum cultures. C. acetobutylicum is a gram-positive anaerobic bacterium, which is highly sought after due to its ability to use a broad spectrum of substrates and produce useful byproducts through the well-known Acetone-Butanol-Ethanol (ABE) fermentation. In this work, real-time Raman data was acquired from C. acetobutylicum cultures grown on glucose. Samples were collected concurrently for comparative off-line product analysis. Partial-least squares (PLS) models were built both for agitated cultures and for static cultures from both datasets. Media components and metabolites monitored include glucose, butyric acid, acetic acid, and butanol. Models were cross-validated with independent datasets. Experiments with agitation were more favorable for modeling with goodness of fit (QY) values of 0.99 and goodness of prediction (Q2Y) values of 0.98. Static experiments did not model as well as agitated experiments. Raman results showed the static experiments were chaotic, especially during and shortly after manual sampling.

  2. Photocatalytic degradation and reactor modeling of 17α-ethynylestradiol employing titanium dioxide-incorporated foam concrete.

    Science.gov (United States)

    Wang, Yuming; Li, Yi; Zhang, Wenlong; Wang, Qing; Wang, Dawei

    2015-03-01

    Photocatalytic degradation of 17α-ethynylestradiol (EE2) using TiO2 photocatalysts incorporated with foam concrete (TiO2/FC) was investigated for the first time. Scanning electron microscopy (SEM) study of the samples revealed a narrow air void size distribution on the surface of FC cubes on with 5 wt% addition of P25 TiO2, and TiO2 particles were distributed heterogeneously on the surface of TiO2/FC samples. The sorption and photocatalytic degradation of EE2 with UV-light irradiation by TiO2/FC cubes were investigated. Adsorption capacity of EE2 by the TiO2/FC and blank foam concrete (FC) samples were similar, while the degradation rates showed a great difference. More than 50 % of EE2 was removed by TiO2/FC within 3.5 h, compared with 5 % by blank FC. The EE2 removal process was then studied in a photoreactor modified from ultraviolet disinfection pool and constructed with TiO2/FC materials. An integrated model including a plate adsorption-scattering model and a modified flow diffusion model was established to simulate the photocatalytic degradation process with different radiation fields, contaminant load, and flow velocity. A satisfactory agreement was observed between the model simulations and experimental results, showing a potential for the design and scale-up of the modified photocatalytic reactor.

  3. Comparative Antitumor Effect of Preventive versus Therapeutic Vaccines Employing B16 Melanoma Cells Genetically Modified to Express GM-CSF and B7.2 in a Murine Model

    Directory of Open Access Journals (Sweden)

    Salvador F. Aliño

    2012-10-01

    Full Text Available Cancer vaccines have always been a subject of gene therapy research. One of the most successful approaches has been working with genetically modified tumor cells. In this study, we describe our approach to achieving an immune response against a murine melanoma model, employing B16 tumor cells expressing GM-CSF and B7.2. Wild B16 cells were injected in C57BL6 mice to cause the tumor. Irradiated B16 cells transfected with GM-CSF, B7.2, or both, were processed as a preventive and therapeutic vaccination. Tumor volumes were measured and survival curves were obtained. Blood samples were taken from mice, and IgGs of each treatment group were also measured. The regulatory T cells (Treg of selected groups were quantified using counts of images taken by confocal microscopy. Results: one hundred percent survival was achieved by preventive vaccination with the group of cells transfected with p2F_GM-CSF. Therapeutic vaccination achieved initial inhibition of tumor growth but did not secure overall survival of the animals. Classical Treg cells did not vary among the different groups in this therapeutic vaccination model.

  4. Tracing sources of suspended sediment in a Canadian agricultural watershed using a Bayesian model: Testing different groups of fingerprinting properties

    Science.gov (United States)

    Gaspar, Leticia; Owens, Philip; Petticrew, Ellen; Lobb, David; Koiter, Alexander; Reiffarth, Dominic; Barthod, Louise; Liu, Kui; Martinez-Carreras, Nuria

    2015-04-01

    An understanding of sediment redistribution processes and the main sediment sources within a watershed is needed to support catchment management strategies, to control soil erosion processes, and to preserve water quality and ecological status. The fingerprinting technique is increasingly recognised as a method for establishing the source of the sediment transported within a catchment. However, the different behaviour of the various fingerprinting properties has been recognised as a major limitation of the technique, and the uncertainty associated with tracer selection has to be addressed. Do the different properties give similar results? Can we combine different groups of tracers? This study aims to compare and evaluate the differences between fingerprinting predictions provided by a Bayesian mixing model using different groups of tracer properties for use in sediment source identification. We are employing fallout radionuclides (137Cs, 210Pbex) and geochemical elements as conventional fingerprinting properties, and colour parameters and compound-specific stable isotopes (CSSIs) as emerging properties; both alone and in combination. These fingerprinting properties are being used to determine the proportional contributions of fine sediment in the South Tobacco Creek Watershed, an agricultural catchment located in south-central Manitoba in Canada. We present preliminary results to evaluate the use of different statistical procedures to increase the accuracy of fingerprinting outputs and establish protocols for the selection of appropriate fingerprint properties.

  5. Fock model and Segal-Bargmann transform for minimal representations of Hermitian Lie groups

    DEFF Research Database (Denmark)

    Hilgert, Joachim; Kobayashi, Toshiyuki; Möllers, Jan;

    2012-01-01

    For any Hermitian Lie group G of tube type we construct a Fock model of its minimal representation. The Fock space is defined on the minimal nilpotent K_C-orbit X in p_C and the L^2-inner product involves a K-Bessel function as density. Here K is a maximal compact subgroup of G, and g_C=k_C+p_C i...... intertwines the Schroedinger and Fock model. Its kernel involves the same I-Bessel function. Using the Segal--Bargmann transform we also determine the integral kernel of the unitary inversion operator in the Schroedinger model which is given by a J-Bessel function....

  6. Group-level self-definition and self-investment: A hierarchical (multicomponent) model of in-group identification

    NARCIS (Netherlands)

    Leach, C.W.; van Zomeren, M.; Zebel, S.; Vliek, M.L.W.; Pennekamp, S.F.; Doosje, B.; Ouwerkerk, J.W.; Spears, R.

    2008-01-01

    Recent research shows individuals' identification with in-groups to be psychologically important and socially consequential. However, there is little agreement about how identification should be conceptualized or measured. On the basis of previous work, the authors identified 5 specific components

  7. Group-level self-definition and self-investment : A hierarchical (multicomponent) model of in-group identification

    NARCIS (Netherlands)

    Leach, Colin Wayne; van Zomeren, Martijn; Zebel, Sven; Vliek, Michael L. W.; Pennekamp, Sjoerd F.; Doosje, Bertjan; Ouwerkerk, Jaap W.; Spears, Russell

    Recent research shows individuals' identification with in-groups to be psychologically important and socially consequential. However, there is little agreement about how identification should be conceptualized or measured. On the basis of previous work, the authors identified 5 specific components

  8. Group-level self-definition and self-investment : A hierarchical (multicomponent) model of in-group identification

    NARCIS (Netherlands)

    Leach, Colin Wayne; van Zomeren, Martijn; Zebel, Sven; Vliek, Michael L. W.; Pennekamp, Sjoerd F.; Doosje, Bertjan; Ouwerkerk, Jaap W.; Spears, Russell

    2008-01-01

    Recent research shows individuals' identification with in-groups to be psychologically important and socially consequential. However, there is little agreement about how identification should be conceptualized or measured. On the basis of previous work, the authors identified 5 specific components o

  9. Multi-scale inference of interaction rules in animal groups using Bayesian model selection.

    Directory of Open Access Journals (Sweden)

    Richard P Mann

    2012-01-01

    Full Text Available Inference of interaction rules of animals moving in groups usually relies on an analysis of large scale system behaviour. Models are tuned through repeated simulation until they match the observed behaviour. More recent work has used the fine scale motions of animals to validate and fit the rules of interaction of animals in groups. Here, we use a Bayesian methodology to compare a variety of models to the collective motion of glass prawns (Paratya australiensis. We show that these exhibit a stereotypical 'phase transition', whereby an increase in density leads to the onset of collective motion in one direction. We fit models to this data, which range from: a mean-field model where all prawns interact globally; to a spatial Markovian model where prawns are self-propelled particles influenced only by the current positions and directions of their neighbours; up to non-Markovian models where prawns have 'memory' of previous interactions, integrating their experiences over time when deciding to change behaviour. We show that the mean-field model fits the large scale behaviour of the system, but does not capture fine scale rules of interaction, which are primarily mediated by physical contact. Conversely, the Markovian self-propelled particle model captures the fine scale rules of interaction but fails to reproduce global dynamics. The most sophisticated model, the non-Markovian model, provides a good match to the data at both the fine scale and in terms of reproducing global dynamics. We conclude that prawns' movements are influenced by not just the current direction of nearby conspecifics, but also those encountered in the recent past. Given the simplicity of prawns as a study system our research suggests that self-propelled particle models of collective motion should, if they are to be realistic at multiple biological scales, include memory of previous interactions and other non-Markovian effects.

  10. Multi-scale inference of interaction rules in animal groups using Bayesian model selection.

    Science.gov (United States)

    Mann, Richard P; Perna, Andrea; Strömbom, Daniel; Garnett, Roman; Herbert-Read, James E; Sumpter, David J T; Ward, Ashley J W

    2012-01-01

    Inference of interaction rules of animals moving in groups usually relies on an analysis of large scale system behaviour. Models are tuned through repeated simulation until they match the observed behaviour. More recent work has used the fine scale motions of animals to validate and fit the rules of interaction of animals in groups. Here, we use a Bayesian methodology to compare a variety of models to the collective motion of glass prawns (Paratya australiensis). We show that these exhibit a stereotypical 'phase transition', whereby an increase in density leads to the onset of collective motion in one direction. We fit models to this data, which range from: a mean-field model where all prawns interact globally; to a spatial Markovian model where prawns are self-propelled particles influenced only by the current positions and directions of their neighbours; up to non-Markovian models where prawns have 'memory' of previous interactions, integrating their experiences over time when deciding to change behaviour. We show that the mean-field model fits the large scale behaviour of the system, but does not capture fine scale rules of interaction, which are primarily mediated by physical contact. Conversely, the Markovian self-propelled particle model captures the fine scale rules of interaction but fails to reproduce global dynamics. The most sophisticated model, the non-Markovian model, provides a good match to the data at both the fine scale and in terms of reproducing global dynamics. We conclude that prawns' movements are influenced by not just the current direction of nearby conspecifics, but also those encountered in the recent past. Given the simplicity of prawns as a study system our research suggests that self-propelled particle models of collective motion should, if they are to be realistic at multiple biological scales, include memory of previous interactions and other non-Markovian effects.

  11. Anisotropic Heisenberg model on hierarchical lattices with aperiodic interactions: a renormalization-group approach.

    Science.gov (United States)

    Branco, N S; de Sousa, J Ricardo; Ghosh, Angsula

    2008-03-01

    Using a real-space renormalization-group approximation, we study the anisotropic quantum Heisenberg model on hierarchical lattices, with interactions following aperiodic sequences. Three different sequences are considered, with relevant and irrelevant fluctuations, according to the Luck-Harris criterion. The phase diagram is discussed as a function of the anisotropy parameter Delta (such that Delta=0 and 1 correspond to the isotropic Heisenberg and Ising models, respectively). We find three different types of phase diagrams, with general characteristics: the isotropic Heisenberg plane is always an invariant one (as expected by symmetry arguments) and the critical behavior of the anisotropic Heisenberg model is governed by fixed points on the Ising-model plane. Our results for the isotropic Heisenberg model show that the relevance or irrelevance of aperiodic models, when compared to their uniform counterpart, is as predicted by the Harris-Luck criterion. A low-temperature renormalization-group procedure was applied to the classical isotropic Heisenberg model in two-dimensional hierarchical lattices: the relevance criterion is obtained, again in accordance with the Harris-Luck criterion.

  12. General duality for Abelian-group-valued statistical-mechanics models

    Energy Technology Data Exchange (ETDEWEB)

    Caracciolo, Sergio [Dip. di Fisica and INFN, Universita degli Studi di Milano, via Celoria 16, I-20133 Milan (Italy); Sportiello, Andrea [Dip. di Fisica and INFN, Universita degli Studi di Milano, via Celoria 16, I-20133 Milan (Italy)

    2004-07-30

    We introduce a general class of statistical-mechanics models, taking values in an Abelian group, which includes examples of both spin and gauge models, both ordered and disordered. The model is described by a set of 'variables' and a set of 'interactions'. Each interaction is associated with a linear combination of variables; these are summarized in a matrix J. A Gibbs factor is associated with each variable (one-body term) and with each interaction. Then we introduce a duality transformation for systems in this class. The duality exchanges the Abelian group with its dual, the Gibbs factors with their Fourier transforms and the interactions with the variables. High (low) couplings in the interaction terms are mapped into low (high) couplings in the one-body terms. If the matrix J is interpreted as a vector representation of a matroid, duality exchanges the matroid with its dual. We discuss some physical examples. The main idea is to generalize the known models up to eventually include randomness into the pattern of interaction. We introduce and study a random Gaussian model, a random Potts-like model and a random variant of discrete scalar QED. Although the classical procedure as given by Kramers and Wannier does not extend in a natural way to such a wider class of systems, our weaker procedure applies to these models, too. We shortly describe the consequence of duality for each example.

  13. Group size effects in two repeated game models of a global climate agreement

    Energy Technology Data Exchange (ETDEWEB)

    Helland, Leif

    2002-07-01

    What levels of total abatement can one hope for in a global climate agreement. Some potential answers to this question are provided by game theory. This working paper contains a critical discussion of two (prominent) game ,models that answer the question quite pessimistically. Both models take the n-person, infinitely repeated prisoner's dilemma game as their point of departure. The first model is a full information model and utilises the motion of a weakly re negotiation proof equilibrium. This results in the (maybe counterintuitive) prediction that an agreement that can provide high utility to the group will attract less total abatement than an agreement that can only provide low utility to the group. The second model assumes imperfect public information and utilises the notion of a trigger level equilibrium. This results in the (more intuitive) prediction that the level of total abatements will increase with improved verification techniques for a given player set. Still the level of total abatements decrease with an increasing player set for a given verification technique. Empirical implications of the two models are identified and it is argued that one should confront these with experimentally generated data in order to discriminate between the models. One reason for this is that historical data on abatement efforts in a global climate agreement do not exist since no such agreement has entered into force yet. (Author)

  14. Employment of single-diode model to elucidate the variations in photovoltaic parameters under different electrical and thermal conditions

    Science.gov (United States)

    Hameed, Shilan S.; Aziz, Fakhra; Sulaiman, Khaulah; Ahmad, Zubair

    2017-01-01

    In this research work, numerical simulations are performed to correlate the photovoltaic parameters with various internal and external factors influencing the performance of solar cells. Single-diode modeling approach is utilized for this purpose and theoretical investigations are compared with the reported experimental evidences for organic and inorganic solar cells at various electrical and thermal conditions. Electrical parameters include parasitic resistances (Rs and Rp) and ideality factor (n), while thermal parameters can be defined by the cells temperature (T). A comprehensive analysis concerning broad spectral variations in the short circuit current (Isc), open circuit voltage (Voc), fill factor (FF) and efficiency (η) is presented and discussed. It was generally concluded that there exists a good agreement between the simulated results and experimental findings. Nevertheless, the controversial consequence of temperature impact on the performance of organic solar cells necessitates the development of a complementary model which is capable of well simulating the temperature impact on these devices performance. PMID:28793325

  15. Consistency and consensus models for group decision-making with uncertain 2-tuple linguistic preference relations

    Science.gov (United States)

    Zhang, Zhen; Guo, Chonghui

    2016-08-01

    Due to the uncertainty of the decision environment and the lack of knowledge, decision-makers may use uncertain linguistic preference relations to express their preferences over alternatives and criteria. For group decision-making problems with preference relations, it is important to consider the individual consistency and the group consensus before aggregating the preference information. In this paper, consistency and consensus models for group decision-making with uncertain 2-tuple linguistic preference relations (U2TLPRs) are investigated. First of all, a formula which can construct a consistent U2TLPR from the original preference relation is presented. Based on the consistent preference relation, the individual consistency index for a U2TLPR is defined. An iterative algorithm is then developed to improve the individual consistency of a U2TLPR. To help decision-makers reach consensus in group decision-making under uncertain linguistic environment, the individual consensus and group consensus indices for group decision-making with U2TLPRs are defined. Based on the two indices, an algorithm for consensus reaching in group decision-making with U2TLPRs is also developed. Finally, two examples are provided to illustrate the effectiveness of the proposed algorithms.

  16. Compatibility of the large quasar groups with the concordance cosmological model

    Science.gov (United States)

    Marinello, Gabriel E.; Clowes, Roger G.; Campusano, Luis E.; Williger, Gerard M.; Söchting, Ilona K.; Graham, Matthew J.

    2016-09-01

    We study the compatibility of large quasar groups with the concordance cosmological model. Large quasar groups are very large spatial associations of quasars in the cosmic web, with sizes of 50-250 h-1 Mpc. In particular, the largest large quasar group known, named Huge-LQG, has a longest axis of ˜860 h-1 Mpc, larger than the scale of homogeneity (˜260 Mpc), which has been noted as a possible violation of the cosmological principle. Using mock catalogues constructed from the Horizon Run 2 cosmological simulation, we found that large quasar groups size, quasar member number and mean overdensity distributions in the mocks agree with observations. The Huge-LQG is found to be a rare group with a probability of 0.3 per cent of finding a group as large or larger than the observed, but an extreme value analysis shows that it is an expected maximum in the sample volume with a probability of 19 per cent of observing a largest quasar group as large or larger than Huge-LQG. The Huge-LQG is expected to be the largest structure in a volume at least 5.3 ± 1 times larger than the one currently studied.

  17. Compatibility of the Large Quasar Groups with the Concordance Cosmological Model

    CERN Document Server

    Marinello, Gabriel E; Campusano, Luis E; Williger, Gerald M; Söchting, Ilona K; Graham, Matthew J

    2016-01-01

    We study the compatibility of large quasar groups with the concordance cosmological model. Large Quasar Groups are very large spatial associations of quasars in the cosmic web, with sizes of 50-250h^-1 Mpc. In particular, the largest large quasar group known, named Huge-LQG, has a longest axis of ~860h^-1 Mpc, larger than the scale of homogeneity (~260 Mpc), which has been pointed as a possible violation of the cosmological principle. Using mock catalogues constructed from the Horizon Run 2 cosmological simulation, we found that large quasar groups size, quasar member number and mean overdensity distributions in the mocks agree with observations. The Huge-LQG is found to be a rare group with a probability of 0.3 per cent of finding a group as large or larger than the observed, but an extreme value analysis shows that it is an expected maximum in the sample volume with a probability of 19 per cent of observing a largest quasar group as large or larger than Huge-LQG. The Huge-LQG is expected to be the largest s...

  18. Mathematical Modelling of a Hybrid Micro-Cogeneration Group Based on a Four Stroke Diesel Engine

    Directory of Open Access Journals (Sweden)

    Apostol Valentin

    2014-06-01

    Full Text Available The paper presents a part of the work conducted in the first stage of a Research Grant called ”Hybrid micro-cogeneration group of high efficiency equipped with an electronically assisted ORC” acronym GRUCOHYB. The hybrid micro-cogeneration group is equipped with a four stroke Diesel engine having a maximum power of 40 kW. A mathematical model of the internal combustion engine is presented. The mathematical model is developed based on the Laws of Thermodynamics and takes into account the real, irreversible processes. Based on the mathematical model a computation program was developed. The results obtained were compared with those provided by the Diesel engine manufacturer. Results show a very high correlation between the manufacturer’s data and the simulation results for an engine running at 100% load. Future developments could involve using an exergetic analysis to show the ability of the ORC to generate electricity from recovered heat

  19. Social network modeling: a powerful tool for the study of group scale phenomena in primates.

    Science.gov (United States)

    Jacobs, Armand; Petit, Odile

    2011-08-01

    Social Network Analysis is now a valuable tool to study social complexity in many animal species, including primates. However, this framework has rarely been used to implement quantitative data on the social structure of a group within computer models. Such approaches allow the investigation of how social organization constrains other traits and also how these traits can impact the social organization in return. In this commentary, we discuss the powerful potential of social network modeling as a way to study group scale phenomena in primates. We describe the advantages of using such a method and we focus on the specificity of this approach in primates, given the particularities of their social networks compared with those of other taxa. We also give practical considerations and a list of examples as for the choice of parameters that can be used to implement the social layer within the models.

  20. S-Matrices and Quantum Group Symmetry of q-Deformed Sigma Models

    CERN Document Server

    Hollowood, Timothy J; Schmidtt, David M

    2015-01-01

    Recently, several kinds of integrable deformations of the string world sheet theory in the gauge/gravity correspondence have been constructed. One class of these, the q-deformations with q a root of unity, has been shown to be related to a particular discrete deformation of the principal chiral models and (semi-)symmetric space sigma models involving a gauged WZW model. We conjecture a form for the exact S-matrices of the bosonic integrable field theories of this type. The S-matrices imply that the theories have a hidden infinite dimensional affine quantum group symmetry. We provide some evidence, via quantum inverse scattering techniques, that the theories do indeed possess the finite-dimensional part of this quantum group symmetry.