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Evaluation Function (evaluation + function)
Selected AbstractsImpact of substance use on the physical health of patients with bipolar disorderACTA PSYCHIATRICA SCANDINAVICA, Issue 6 2010M. P. Garcia-Portilla Garcia-Portilla MP, Saiz PA, Benabarre A, Florez G, Bascaran MT, Díaz EM, Bousoño M, Bobes J. Impact of substance use on the physical health of patients with bipolar disorder. Objective:, To describe the impact of tobacco, alcohol and cannabis on metabolic profile and cardiovascular risk in bipolar patients. Method:, Naturalistic, cross-sectional, multicenter Spanish study. Current use of tobacco, alcohol and cannabis was determined based on patient self-reports. Metabolic syndrome was defined using the National Health and Nutrition Examination Survey 1999,2000 and the American Heart Association/National Heart, Lung and Blood Institute criteria, and cardiovascular risk using the Framingham and the Systematic Coronary Risk Evaluation functions. Results:, Mean age was 46.6 years, 49% were male. Substance use: 51% tobacco, 13% alcohol and 12.5% cannabis. Patients who reported consuming any substance were significantly younger and a higher proportion was male. After controlling for confounding factors, tobacco was a risk factor for coronary heart disease (CHD) (unstandardized linear regression coefficient 3.47, 95% confidence interval 1.85,5.10). Conclusion:, Substance use, mainly tobacco, was common in bipolar patients. Tobacco use negatively impacted CHD risk. [source] Neural network-based image restoration using scaled residual with space-variant regularizationINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Issue 6 2002E. Salari Abstract Image restoration is aimed to recover the original scene from its degraded version. This paper presents a new method for image restoration. In this technique, an evaluation function which combines a scaled residual with space-variant regularization is established and minimized using a Hopfield network to obtain a restored image from a noise corrupted and blurred image. Simulation results demonstrate that the proposed evaluation function leads to a more efficient restoration process which offers a fast convergence and improved restored image quality. © 2003 Wiley Periodicals, Inc. Int J Imaging Syst Technol 12, 247,253, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10034 [source] A flexible approach to evaluating soft conditions with unequal preferences in fuzzy databasesINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 7 2007Gloria Bordogna A flexible model for evaluating soft query with unequal preferences in fuzzy databases is proposed. We assume that conditions with unequal preferences have an exclusive meaning like in the request "find a holiday accommodation such that big apartments are preferred to high rating hotels." In this case it is assumed that the aggregator of the soft conditions is an implicit OR. Conversely, conditions with unequal importance have an inclusive meaning, like in the query "find a house to rent that is cheap (most important), big (important), new (fairly important)." In this case the implicit aggregator is an AND. What we propose in this article is to model preferences as modifiers of the semantics of the evaluation function of the conditions. Because the soft conditions are aggregated by an OR, the more a soft condition is preferred, the more its evaluation function tolerates a greater undersatisfaction of the soft condition. The proposed approach is formalized by considering two alternative semantics of the evaluation function: the first semantics defines the evaluation function by means of a generalized fuzzy inclusion measure, and the second one as a generalized similarity measure. These functions are parameterized so that their modification is simply achieved by tuning the functions' parameters. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 665,689, 2007. [source] PeckCryst: a program for structure determination from powder diffraction data using a particle swarm optimization algorithmJOURNAL OF APPLIED CRYSTALLOGRAPHY, Issue 6 2009Zhen Jie Feng PeckCryst has been developed for the solution of molecular crystal structures from powder diffraction data using a particle swarm optimization (PSO) algorithm. In order to speed up the calculation process, a modified Bragg R factor is used as the evaluation function for the PSO algorithm. The effectiveness of the program has been tested by solving four known structures from powder diffraction data. A Python script is also provided for convenient repetitive running of PeckCryst. The distributed PeckCryst program is freely available from the authors upon request, and runs on Linux and Windows (32- and 64-bit) platforms. [source] A concept-oriented belief revision approach to domain knowledge recovery from source codeJOURNAL OF SOFTWARE MAINTENANCE AND EVOLUTION: RESEARCH AND PRACTICE, Issue 1 2001Yang Li Abstract Domain knowledge is the soul of software systems. After decades of software development, domain knowledge has reached a certain degree of saturation. The recovery of domain knowledge from source code is beneficial to many software engineering activities, in particular, software evolution. In the real world, the ambiguous appearance of domain knowledge embedded in source code constitutes the biggest barrier to recovering reliable domain knowledge. In this paper, we introduce an innovative approach to recovering domain knowledge with enhanced reliability from source code. In particular, we divide domain knowledge into interconnected knowledge slices and match these knowledge slices against the source code. Each knowledge slice has its own authenticity evaluation function which takes the belief of the evidence it needs as input and the authenticity of the knowledge slice as output. Moreover, the knowledge slices are arranged to exchange beliefs with each other through interconnections, i.e. concepts, so that a better evaluation of the authenticity of these knowledge slices can be obtained. The decision on acknowledging recovered knowledge slices can therefore be made more easily. Our approach, rooted as it is in cognitive science and social psychology, is also widely applicable to other knowledge recovery tasks. Copyright © 2001 John Wiley & Sons, Ltd. [source] Organizational structures that support internal program evaluationNEW DIRECTIONS FOR EVALUATION, Issue 120 2008Michael T. Lambur This chapter explores how the structure of large complex organizations such as Cooperative Extension affects their ability to support internal evaluation of their programs and activities. Following a literature review of organizational structure and its relation to internal evaluation capacity, the chapter presents the results of interviews with 10 selected Extension evaluators. Four structures for evaluation in Extension organizations are identified: (1) a separate evaluation unit, (2) within an administrative unit, (3) within a program area, and (4) within an academic department or school. The interviews addressed the philosophy and approach to program evaluation, what evaluators do, the perceived effects of organizational structure on evaluation, and reflections on the optimal structure for program evaluation in Extension. Several conclusions are presented: the evaluation function should be associated with a high administrative level in the organization, locating the evaluation function in program units appears to be preferred, roles and responsibilities of internal evaluators need to be clearly specified, internal evaluators need to work closely with administration and management to carry out their roles effectively and to incorporate evaluation into organizational decision making, and internal evaluators often assume other roles beyond their primary role as evaluator. © Wiley Periodicals, Inc. [source] | |||||||||||||