Jewish-Arab Relations in Iraq: From the British Occupation to the Mass Exodus (1917–51)

From the establishment of the Iraqi polity under King Faisal I in 1921 the Jews were anxious to integrate into Muslim Arab society and become an integral part of it. However, with the end of the British Mandate in 1932 the Jews' relations with Arab society took a turn for the worst, reaching its climax in the 1941 pogrom. The struggle to determine the fate of Palestine and later the establishment of the state of Israel created an unbearable situation, which ultimately pushed the Jews out of Iraq, during the early 1950s. This study analyzes Jewish–Arab relations during that period, focused mainly on the circumstances which led to this change – from an attempt to integrate to Arab policy of controlled oppression.     

Beyond Condorcet: optimal aggregation rules using voting records

In certain judgmental situations where a “correct” decision is presumed to exist, optimal decision making requires evaluation of the decision-makers’ capabilities and the selection of the appropriate aggregation rule. The major and so far unresolved difficulty is the former necessity. This article presents the optimal aggregation rule that simultaneously satisfies these two interdependent necessary requirements. In our setting, some record of the voters’ past decisions is available, but the correct decisions are not known. We observe that any arbitrary evaluation of the decision-makers’ capabilities as probabilities yields some optimal aggregation rule that, in turn, yields a maximum-likelihood estimation of decisional skills. Thus, a skill-evaluation equilibrium can be defined as an evaluation of decisional skills that yields itself as a maximum-likelihood estimation of decisional skills. We show that such equilibrium exists and offer a procedure for finding one. The obtained equilibrium is locally optimal and is shown empirically to generally be globally optimal in terms of the correctness of the resulting collective decisions. Interestingly, under minimally competent (almost symmetric) skill distributions that allow unskilled decision makers, the optimal rule considerably outperforms the common simple majority rule (SMR). Furthermore, a sufficient record of past decisions ensures that the collective probability of making a correct decision converges to 1, as opposed to accuracy of about 0.7 under SMR. Our proposed optimal voting procedure relaxes the fundamental (and sometimes unrealistic) assumptions in Condorcet’s celebrated theorem and its extensions, such as sufficiently high decision-making quality, skill homogeneity or existence of a sufficiently large group of decision makers.     

Evaluating estimators using stochastic dominance rules:the variance of a normal distribution

The paper presents an application of stochastic dominance approach to estimator evaluation. This new approach is general and applicable when a monetary loss function is defined over the deviation of a sample estimate from the appropriate parameter. The paper applies this approach to the evaluation of alternative estimators of the normal distribution variance     

Climbing the Family Tree: Working with Genograms

The genogram is a practical and widely adopted tool for mapping families in therapy. Its use can be easily learnt and is recommended for beginners in family therapy. The genogram promotes thinking In system and transactional terms, and shifts emphasis away from individual problems to relational issues. A family system can be given a visual focus, and this often reveals patterns and connections previously unnoticed. A set of conventions for constructing genograms is suggested, with ways of elaborating on this basic frame. The applications of the genogram in joining families, in planning interventions, as a clinical communication medium, and in learning family therapy are discussed. Other types of network diagrams are briefly listed, and a clinical example of a genogram is given. Finally, limits and cautions on the use of genograms are discussed.     

中国国有企业和中外合资企业中的领导风格及异化:比较与启示

本文是一项对中国国有企业与中外合资企业的比较研究,我们用组织行为学和人力资源管理中的两个重要指标——领导风格和异化来比较两类企业的管理和社会效益。对相关企业员工所回答的问卷的统计分析显示出国有企业和中外合资企业不同的领导风格和员工异化状态,文章讨论了差别的原因及其对于国有企业管理变革的启示。     

School Refusal An Empirical Study and System Analysis

The empirical, clinical and theoretical literature on School Refusal is reviewed. A study is reported in which a comprehensive group of forty severe school refusers was compared with a matched control group. They differed on a wide range of variables. The school refusing children were more depressed, anxious, introverted, neurotic, over protected and less intelligent. Their parents' educational attainment and levels of intelligence were lower; they were older and had larger families; father's occupational status was lower and he was often absent from home. The results are discussed. A three level system theory interpretation is presented:

• (i) child;
• (ii) family;
• (iii) beyond the family.

Some therapeutic implications are offered.     

Generalized Steiner Problems and Other Variants

In this paper, we examine combinatorial optimization problems by considering the case where the set N (the ground set of elements) is expressed as a union of a finite number of m nonempty distinct subsets N ₁,...,N _m. The term we use is the generalized Steiner problems coined after the Generalized Traveling Salesman Problem. We have collected a short list of classical combinatorial optimization problems and we have recast each of these problems in this broader framework in an attempt to identify a linkage between these “generalized” problems. In the literature one finds generalized problems such as the Generalized Minimum Spanning Tree (GMST), Generalized Traveling Salesman Problem (GTSP) and Subset Bin-packing (SBP). Casting these problems into the new problem setting has important implications in terms of the time effort required to compute an optimal solution or a “good” solution to a problem. We examine questions like “is the GTSP “harder” than the TSP?” for a number of paradigmatic problems starting with “easy” problems such as the Minimal Spanning Tree, Assignment Problem, Chinese Postman, Two-machine Flow Shop, and followed by “hard” problems such as the Bin-packing, and the TSP.     

Using partially observed Markov processes to select optimal termination time of TV shows

This paper presents a method for optimal control of a running television show. The problem is formulated as a partially observed Markov decision process (POMDP). A show can be in a “good” state, i.e., it should be continued, or it can be in a “bad” state and therefore it should be changed. The ratings of a show are modeled as a stochastic process that depends on the show's state. An optimal rule for a continue/change decision, which maximizes the expected present value of profits from selling advertising time, is expressed in terms of the prior probability of the show being in the good state. The optimal rule depends on the size of the investment in changing a show, the difference in revenues between a “good” and a “bad” show and the number of time periods remaining until the end of the planning horizon. The application of the method is illustrated with simulated ratings as well as real data.