8,270 research outputs found

    Deuteron production and elliptic flow in relativistic heavy ion collisions

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    The hadronic transport model \textsc{art} is extended to include the production and annihilation of deuterons via the reactions BB↔dMBB \leftrightarrow dM, where BB and MM stand for baryons and mesons, respectively, as well as their elastic scattering with mesons and baryons in the hadronic matter. This new hadronic transport model is then used to study the transverse momentum spectrum and elliptic flow of deuterons in relativistic heavy ion collisions, with the initial hadron distributions after hadronization of produced quark-gluon plasma taken from a blast wave model. The results are compared with those measured by the PHENIX and STAR Collaborations for Au+Au collisions at sNN=200\sqrt{s_{NN}^{}} = 200 GeV, and also with those obtained from the coalescence model based on freeze-out nucleons in the transport model.Comment: 9 pages, 10 figures, REVTeX, version to be published in Phys. Rev.

    Financial Computational Intelligence

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    Artificial intelligence decision support system is always a popular topic in providing the human with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is to compare different methods of artificial intelligence decision support systems in the investment domain – the goal of investment decision-making is to select an optimal portfolio that satisfies the investor’s objective, or, in other words, to maximize the investment returns under the constraints given by investors. In this study we apply several artificial intelligence systems like Influence Diagram (a special type of Bayesian network), Decision Tree and Neural Network to get experimental comparison analysis to help users to intelligently select the best portfoliArtificial intelligence, neural network, decision tree, bayesian network

    Watermarking FPGA Bitfile for Intellectual Property Protection

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    Intellectual property protection (IPP) of hardware designs is the most important requirement for many Field Programmable Gate Array (FPGA) intellectual property (IP) vendors. Digital watermarking has become an innovative technology for IPP in recent years. Existing watermarking techniques have successfully embedded watermark into IP cores. However, many of these techniques share two specific weaknesses: 1) They have extra overhead, and are likely to degrade performance of design; 2) vulnerability to removing attacks. We propose a novel watermarking technique to watermark FPGA bitfile for addressing these weaknesses. Experimental results and analysis show that the proposed technique incurs zero overhead and it is robust against removing attacks

    Stock Options and Chief Executive Compensation

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    Although stock options are commonly observed in chief executive officer (CEO) com- pensation contracts, there is theoretical controversy about whether stock options are part of the optimal contract. Using a sample of Fortune 500 companies, we solve an agency model calibrated to the company-specifc data and we find that stock options are almost always part of the optimal contract. This result is robust to alternative assumptions about the level of CEO risk-aversion and the disutility associated with their effort. In a supplementary analysis, we solve for the optimal contract when there are no restrictions on the contract space. We find that the optimal contract (which is characterized as a state-contingent payoff to the CEO) typically has option-like features over the most probable range of outcomes.Stock Options, Incentives, Agency Model

    The development of quality indicators for Taiwanese institutional dementia care

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    This study is a mixed-method study that seeks to develop a set of institutional dementia care indicators to evaluate quality of care and inform the improvement of quality of life (QOL) for Taiwanese people with dementia living in care homes. It also uses comparative analysis to compare the different features of policy and its delivery in dementia care between Scotland and Taiwan, a comparison designed to aid the development of dementia care policy, and the establishment of quality indicators for institutional dementia care, in Taiwan. This study employed the person-centred care approach at the micro perspective, and the total quality management (TQM) approach at the macro perspective, in order to inform a seamless care model for people with dementia living in care homes. Data were collected in two stages: comments from experts in dementia care were recorded in an exercise using “Delphi” methodology; subsequently the opinions of service receivers were recorded in a fieldwork exercise. The Delphi exercise (stage one) acted as the pre-test, involving 24 experts in dementia care in Scotland and Taiwan in evaluating the usefulness and applicability of proposed quality indicators for institutional dementia care. Quantitative and qualitative data from the Delphi panel were analyzed. The fieldwork (stage two) collected 237 questionnaires (from 122 residents with dementia and 115 family members) in 14 Taiwanese care homes for people with dementia (including special care units within care homes). The field test data were analyzed using reliability and item analysis, confirmatory factor analysis (CFA), and descriptive and inferential statistics. Initially, 43 proposed quality indicators for institutional dementia care were identified through literature review. However, after two Delphi rounds, only six key dimensions (41 quality indicators) were identified by consensus as the important items for use in measurement of quality of care for people with dementia living in Taiwanese care homes. Through reliability and item analysis, and CFA, this research developed a model which is a three-factor structure (social care, health and personal care, and environment) with 18 quality indicators. The 18 quality indicators have high reliability, validity, and credibility and load onto a second order factor which represents quality of care for people with dementia living in care homes. Further analysis was then conducted to explore how relative ratings on these three factors differed according to measured characteristics of the residents and their family members. In general, only a few strong patterns of difference emerged and multiple linear regression analysis suggested that differences in ratings could not be attributed to influences of socio-economic and socio-demographic differences between respondents. The study concludes that the Delphi method could be used as a methodology for health services research to integrate the opinions of multidisciplinary dementia experts and that CFA is an effective technique to study the empirical factor structure. The findings suggest that the 18 quality indicators could be suitable criteria for people with dementia and their family members to evaluate care quality and select an appropriate care home. The indicators also have important policy implications for the Taiwanese Government and regulations intended to ensure that care homes meet the requirements of service receivers
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