AN ANALYST'S UNCERTAINTY AND FEAR

The motivations for choosing psychoanalysis as a profession are many and differ depending on the psychology of the analyst. However, common to most psychoanalysts is the desire to forge a helpful relationship with the individuals with whom they work therapeutically. This article presents an example of what happens when an analyst is confronted by a patient for whom being in a relationship and being helped are intolerable.     

SCIENTISTS IN THE COSMOS: AN EXISTENTIAL APPROACH TO THE DEBATE BETWEEN SCIENCE AND RELIGION

Walker Percy's use of the terms Umwelt (environment) and Welt (symbol world) as well as his separation of events into dyadic and triadic ones, where the latter involve human beings, is brought to bear on the relationship between science and religion with the upshot being that science (a dyadic enterprise) is not equipped to really understand or explain triadic entities (namely, human beings).     

Crossover of burnout from leaders to followers: a longitudinal study

The primary purpose of this 6-month two-wave longitudinal study among 104 Chinese leader–follower dyads is to investigate whether burnout could cross over from leaders to followers, and if so, whether this crossover process could be mediated by changes of followers’ job and personal resources. As expected, the structural equation modelling results show that after controlling for follower burnout at T1, leader burnout at T1 is negatively related to changes of followers’ job and personal resources over a period of 6 months, which in turn are negatively related to follower burnout at T2. Our longitudinal study has demonstrated that resource loss plays a mediating role in the crossover of burnout from leaders to followers. The implications of these findings for the intervention of burnout in the work context are discussed.     

Divergence Behaviour of the Successive Geometric Mean Method of Pairwise Comparison Matrix Generation for a Multiple Stage,Multiple Objective Optimization Problem

This paper focuses on the divergence behaviour of the successive geometric mean (SGM) method used to generate pairwise comparison matrices while solving a multiple stage, multiple objective (MSMO) optimization problem. The SGM method can be used in the matrix generation phase of our three‐phase methodology to obtain pairwise comparison matrix at each stage of an MSMO optimization problem, which can be subsequently used to obtain the weight vector at the corresponding stage. The weight vectors across the stages can be used to convert an MSMO problem into a multiple stage, single objective (MSSO) problem, which can be solved using dynamic programming‐based approaches. To obtain a practical set of non‐dominated solutions (also referred to as Pareto optimal solutions) to the MSMO optimization problem, it is important to use a solution approach that has the potential to allow for a better exploration of the Pareto optimal solution space. To accomplish a more exhaustive exploration of the Pareto optimal solution space, the weight vectors that are used to scalarize the MSMO optimization problem into its corresponding MSSO optimization problem should vary across the stages. Distinct weight vectors across the stages are tied directly with distinct pairwise comparison matrices across the stages. A pairwise comparison matrix generation method is said to diverge if it can generate distinct pairwise comparison matrices across the stages of an MSMO optimization problem. In this paper, we demonstrate the SGM method's divergence behaviour when the three‐phase methodology is used in conjunction with an augmented high‐dimensional, continuous‐state stochastic dynamic programming method to solve a large‐scale MSMO optimization problem. Copyright © 2013 John Wiley & Sons, Ltd.