心理模型及其探查技术的研究

自从1943年Craik首次提出心理模型概念以来,有关心理模型的研究已大量涌现,目前有两条心理模型的研究思路．文章分别沿着这两条思路介绍有关心理模型的研究,并以访谈法和观察法为线索梳理了心理模型的探查技术．最后指出心理模型及其探查技术的研究趋向：两条研究思路的整合和多种探查技术的整合。     

神经外科高新技术应用中的人文问题

文在分析医疗高新技术给神经外科带来发展的同时,阐述了其所带来的一系列人文问题.并对神经外科医务人员如何在临床中合理应用医疗高新技术,把握好医患关系,合理利用医疗资源,表现良好的医德医风提出了要求.     

Making the most of information‐gathering interviews with children

Because child abuse victims are often the only available sources of information about their experiences, extensive efforts have been made to understand how to maximize their informativeness. There is now broad international consensus regarding optimal interview practices, and broad awareness that children's informativeness increases when interviewers conduct developmentally appropriate interviews with children. In this paper, we (1) summarize current understanding of how children remember, retrieve, and communicate information and (2) discuss ways in which children's memory and reporting can be fostered using techniques designed to help children recount past experiences such as the Cognitive Interview, the Narrative Elaboration Technique, and the National Institute of Child Health and Human Development‐Protocol. Communicative success clearly depends on how well children understand their role and how effectively interviewers take advantage of children's competencies and abilities to help them maximize their informativeness. Unfortunately, agreement regarding ways in which interviews should be conducted has not been paralleled by changes in the way interviews are actually conducted in the field and more attention thus needs to be paid to training and implementation. Copyright © 2008 John Wiley & Sons, Ltd.     

Analysis of the creation of 'emptiness', of 'nothingness', in certain types of psychosis

Some psychotic patients manage to create nothingness and emptiness thanks to the amount of work their ego accomplishes. That is the paradox we find in schizophrenic patients, their ego is simultaneously weak and powerful. When we analyse how this nothingness/emptiness is created, we enter into a strange world in which the patient's ego is, in part, defective and fragmented; his or her thinking apparatus, capacity for perceiving and feeling are under attack. Yet this same ego can call on intellectual ability, imagination and tremendous energy in order to create a highly complex structure, thanks to which the psychotic individual manages to create a kind of para-organization of space by splitting 'nothingness' (the space between representations) and 'density' (a compact magma made up of many different highly-condensed representations). Both nothingness and density may give the impression that the patient is 'nowhere to be found' and therefore impossible to analyse. In this paper, I shall describe these mechanisms as they appear in the clinical material of a female psychotic patient.     

The Frequency of Prayer,Meditation and Holistic Interventions in Addictions Treatment: A National Survey

This study examines the prevalence of endorsing the twelve step approach and the use of prayer, meditation, and holistic techniques in a national sample of 139 substance abuse treatment centers. Ninety one percent of the programs endorsed a twelve step orientation. Twenty six percent of the programs actively used prayer and 58% used meditation as a component of treatment. Thirty three percent of the programs used some form of a self-designated holistic technique. There was a divergent range of techniques that were used by programs, falling into four broad categories: (1) nutrition, exercise, relaxation and physical health; (2) recreation and adventure-based activities; (3) religious and spiritual practices; and (4) the use of specific therapy modalities.     

Constructing robust crew schedules with bicriteria optimization

Optimization‐based computer systems are used by many airlines to solve crew planning problems by constructing minimal cost tours of duty. However, today airlines do not only require cost effective solutions, but are also very interested in robust solutions. A more robust solution is understood to be one where disruptions in the schedule (due to delays) are less likely to be propagated into the future, causing delays of subsequent flights. Current scheduling systems based solely on cost do not automatically provide robust solutions. These considerations lead to a multiobjective framework, as the maximization of robustness will be in conflict with the minimization of cost. For example crew changing aircraft within a duty period is discouraged if inadequate ground time is provided. We develop a bicriteria optimization framework to generate Pareto optimal schedules for the domestic airline. A Pareto optimal schedule is one which does not allow an improvement in cost and robustness at the same time. We developed a method to solve the bicriteria problem, implemented it and tested it with actual airline data. Our results show that considerable gain in robustness can be achieved with a small increase in cost. The additional cost is mainly due to an increase in overnights, which allows for a reduction of the number of aircraft changes. Copyright © 2003 John Wiley & Sons, Ltd.     

Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima

Cluster differences scaling is a method for partitioning a set of objects into classes and simultaneously finding a low-dimensional spatial representation ofK cluster points, to model a given square table of dissimilarities amongn stimuli or objects. The least squares loss function of cluster differences scaling, originally defined only on the residuals of pairs of objects that are allocated to different clusters, is extended with a loss component for pairs that are allocated to the same cluster. It is shown that this extension makes the method equivalent to multidimensional scaling with cluster constraints on the coordinates. A decomposition of the sum of squared dissimilarities into contributions from several sources of variation is described, including the appropriate degrees of freedom for each source. After developing a convergent algorithm for fitting the cluster differences model, it is argued that the individual objects and the cluster locations can be jointly displayed in a configuration obtained as a by-product of the optimization. Finally, the paper introduces a fuzzy version of the loss function, which can be used in a successive approximation strategy for avoiding local minima. A simulation study demonstrates that this strategy significantly outperforms two other well-known initialization strategies, and that it has a success rate of 92 out of 100 in attaining the global minimum.     

Human choice in "counterintuitive" situations: fixed- versus progressive-ratio schedules.

College undergraduates were given repeated opportunities to choose between a fixed-ratio and a progressive-ratio schedule of reinforcement. Completions of a progressive-ratio schedule produced points (exchangeable for money) and incremented that response requirement by 20 responses with each consecutive choice. In the reset condition, completion of a fixed ratio produced the same number of points and also reset the progressive ratio back to its initial value. In the no-reset condition, the progressive ratio continued to increase by increments of 20 throughout the session with each successive selection of this schedule, irrespective of fixed-ratio choices. Subjects' schedule choices were sensitive to parametric manipulations of the size of the fixed-ratio schedule and were consistent with predictions made on the basis of minimizing the number of responses emitted per point earned, which is a principle of most optimality theories. Also, the present results suggest that if data from human performances are to be compared with results for other species, humans should be exposed to schedules of reinforcement for long periods of time, as is commonly done with nonhuman subjects.     

新技术革命前沿的神经外科

近年来,由于新技术革命的发展和信息交流的加快神经外取得了突飞猛进的发展,主要表现在ＣＴ、ＭＲＩ、ＤＳＡ、ＰＥＴ、ＩＯＭ、术中导航系统和远程医疗的应用等方面,使神经外科的诊断和治疗水平有了长足的发展。     

Maximizing the coefficient of generalizability under the constraint of limited resources

A procedure for maximizing the coefficient of generalizability under the constraint of limited resources is presented. The procedure uses optimization techniques that offer an investigator or test constructor the possibility of employing practical constraints. The procedure is illustrated for the two-facet random-model crossed design.