Economic optimization by compromise programming: The joint production model

In a basic microeconomic model (joint production and consumer's utility curves) three key optima appear: the best technological mix, the maximum profit point and the consumer's utility optimum. Compromise analysis can help to clarify their connections. This paper and other recent research attempt to specify the conditions which guarantee that these three optima coincide. Thus compromise programming becomes a valuable surrogate of economic optimization.     

Processing Demands During Movement

Subjects made a speeded stylus movement along a track to a stop and simultaneously performed a simple reaction-time task designed to assess the processing demands of the movement task. Movement task variables were: (a) number of alternative ending positions — either one or two — with the choice executed during movement, and (b) presentation time for the endpoint signals in the two-choice conditions, either prior to movement initiation (immediate) or during movement execution (delay). Processing demands were higher during all movement conditions than in a control condition that did not require movement. Processing demands during execution of the one-and two-choice movement with immediate signals did not differ. However, processing demands during the two-choice movements with delayed signals were higher than demands during the two-choice movement with immediate signals.     

食管癌内镜技术最优化原则的思考

随着消化内镜及其配件的不断更新和内镜医师操作技术的进步,消化内镜在食管癌的应用从诊断为主发展到诊断与治疗并重.回顾历史,医疗需求是医学科学进步的强大动力,科学技术进步推动医学的发展,内镜技术的发展促进了食管癌诊断与治疗水平的最优化.     

诊疗最优化原则的伦理学探析

讨论了诊疗最优化原则的伦理学意义:它充分体现了医学的宗旨、医学职业道德理想和对患者的无私关爱,有利于纠正医疗卫生行业的时弊,昭示着医疗卫生改革发展的方向。针对实践中遇到的阻力和困惑,作者提出了促进最优化原则实施的五点建议。     

慢性鼻窦炎治疗中的适宜技术和高新技术的最优化问题

鉴于对慢性鼻窦炎认识的转变和随之发生的治疗手段的改进,遵循循证医学的原则,灵活选用和组合适宜技术与高新技术十分必要,以期达到慢性鼻窦炎治疗的最优化.     

Optimal Partitioning of Testing Time: Theoretical Properties and Practical Implications

This paper deals with optimal partitioning of limited testing time in order to achieve maximum total test score. Nonlinear optimization theory was used to analyze this problem. A general case using a generic item response model is first presented. A special case that applies a response time model proposed by Wang and Hanson (2005) is also presented. Theoretical properties of the optimal solution are derived. Their practical implications to optimal test-taking strategies are also discussed. The theoretical properties are in general agreement with the conventional advice to the examinees on pacing strategy.     

Minimizing the number of observations: A generalization of the spearman-brown formula

A new method for determining the minimum number of observations per subject needed to achieve a specific generalizability coefficient is presented. This method, which consists of a branch-and-bound algorithm, allows for the employment of constraints specified by the investigator.