Strategic Revenue Management under Uncertainty: A Case Study on Real Estate Projects in India

This paper proposes an approach for strategic revenue management under uncertainty for real estate projects. It integrates three modelling techniques: first, artificial neural network integrated support vector machines for forecasting the profit and loss‐making real estate residential projects; second, analytical network process approach using decision making trials and evaluation laboratory methodology for establishing interrelationships among factors; and third, multiobjective genetic algorithm approach for obtaining optimal numbers and types of apartments in a real estate project. We compare the respective revenues generated with the new number of apartments and price from the suggested revenue maximization model and that of the old practiced one through a case study of India. Copyright © 2015 John Wiley & Sons, Ltd.     

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.     

Likelihood inference on the underlying structure of IRT models

The assumptions underlying item response theory (IRT) models may be expressed as a set of equality and inequality constraints on the parameters of a latent class model. It is well known that the same assumptions imply that the parameters of the manifest distribution have to satisfy a more complicated set of inequality constraints which, however, are necessary but not sufficient. In this paper, we describe how the theory for likelihood-based inference under equality and inequality constraints may be used to test the underlying assumptions of IRT models. It turns out that the analysis based directly on the latent structure is simpler and more flexible. In particular, we indicate how several interesting extensions of the Rasch model may be obtained by partial relaxation of the basic constraints. An application to a data set provided by Educational Testing Service is used to illustrate the approach.We thank Dr. Gorman and Dr. Rogers of the Educational Testing Service for providing the data analyzed in Section 4. We also thank three reviewers for comments and suggestions.This revised article was published online in August 2005 with the PDF paginated correctly.     

Traction-energy balancing adaptive control with slip optimization for wheeled robots on rough terrain

On rough terrain, excessive wheel slippage is easily generated by changes of surface conditions such as soil types and geometries. It induces considerable loss of wheel traction and battery energy. To prevent this, wheeled robots should consistently recognize the current situation generated between wheel and surface. And also wheeled robots are required to optimally control wheel motion in limited wheel traction and battery capacity. Therefore, this paper proposes a novel wheel control algorithm based on slip optimization of traction and energy, which is adaptive to change of surface condition. Proposed wheel control algorithm is called Traction-Energy Balancing Adaptive Control (TEB) in this paper and TEB assigns optimized rotation speed to each wheel by observing wheel slip ratio which is a key parameter of TEB. As functions of TEB, TEB is largely divided into three main parts; (1) slip optimizer (2) slip controller (3) SC-compensator. In the slip optimizer, two optimal slip models were derived as a function of slip ratios regarding maximum traction and tractive efficiency using experimental data about wheel-terrain interaction in three types of soil (grass, gravel and sand). And the optimal slip models were employed in order to determine a desired slip value of wheel with observation of a change in actual robot velocity as control input in the slip controller. For optimal slip control, the proposed slip controller is based on conventional PID controller with compensating disturbance in the controller (SC-compensator) which occurs by change of surface shapes. In the SC-compensator, radial function networks (RBFN) was applied in the slip controller and RBFN was of help to readjust previously set PID gains depending on occurred slip error. Finally, TEB was experimentally verified by controlling a real robot having four wheels on various terrain types.     

Observing behavior and atypically restricted stimulus control

Restricted stimulus control refers to discrimination learning with atypical limitations in the range of controlling stimuli or stimulus features. In the study reported here, 4 normally capable individuals and 10 individuals with intellectual disabilities (ID) performed two-sample delayed matching to sample. Sample-stimulus observing was recorded with an eye-tracking apparatus. High accuracy scores indicated stimulus control by both sample stimuli for the 4 nondisabled participants and 4 participants with ID, and eye tracking data showed reliable observing of all stimuli. Intermediate accuracy scores indicated restricted stimulus control for the remaining 6 participants. Their eye-tracking data showed that errors were related to failures to observe sample stimuli and relatively brief observing durations. Five of these participants were then given interventions designed to improve observing behavior. For 4 participants, the interventions resulted initially in elimination of observing failures, increased observing durations, and increased accuracy. For 2 of these participants, contingencies sufficient to maintain adequate observing were not always sufficient to maintain high accuracy; subsequent procedure modifications restored it, however. For the 5th participant, initial improvements in observing were not accompanied by improved accuracy, an apparent instance of observing without attending; accuracy improved only after an additional intervention that imposed contingencies on observing behavior. Thus, interventions that control observing behavior seem necessary but may not always be sufficient for the remediation of restricted stimulus control.     

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.     

Inclusion

Summary

In a growing number of schools in the United States, it now is possible to walk into elementary, middle, and secondary classrooms and observe students who could be identified as having moderate and severe cognitive, physical, and emotional disabilities successfully receiving their education together with similar-aged classmates who have no identified special education needs (Falvey, 1995; Lipsky & Gartner, 1997; Schrag, 1998; Villa & Thousand, 1995). This practice of welcoming, valuing, and supporting the diverse learning needs of all students in shared general education environments is referred to as inclusive education, inclusive schooling, or inclusion. This article examines inclusive education along a number of dimensions. First, the evolution of the inclusion moment is briefly examined. After the construct of “severe disability” is considered in the context of inclusive education, various rationale for inclusion are examined along with outcome data, legislation, and legal and U.S. Department of Education decisions which forward inclusive policy. Next, eight factors most frequently associated with successful inclusive education are described and discussed. In describing the factors, examples are provided of specific assessment, planning, and communication processes that support the inclusion of students with intensive cognitive, physical, and emotional disabilities. The article ends with a discussion of the implications of inclusive education for a 21st Century democracy.     

工作场所文明行为：从内隐的自我提升到外显的组织优化

工作场所文明行为是一种在组织文化下, 基于社会和组织角色义务的, 传达礼貌和尊重的主动性行为, 是一种向内要求自我控制, 向外主张尊重传达的行为, 它对于个体自身性格的塑造、组织中人际关系的改善以及文明氛围的培养都具有积极意义。在员工-员工、领导-下属、员工-顾客等关系中, 工作场所文明行为发挥着增进同事情谊、促进合作、增强领导力、建立信任、提升绩效等作用。未来的研究应该进一步厘清工作场所文明行为与不文明行为的关系, 运用动态视角研究它们发生、发展和被感知的机制, 以及这两种行为能否相互转化等问题。     

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.