Dynamic Two-sided Matching Group Decision-making Model With Multi-form Preference Information for Configuring Tasks and Resources in Cloud Manufacturing

Enterprises have been faced with the problem of how to optimize resource allocation in an uncertain environment by the expanding of manufacturing informatization. In the process of cloud manufacturing matching, group decision making organizations may provide uncertain preference information. However, preference information at various points have led to differing impacts of the final matching decision. it is necessary to study the dynamic two-sided matching. In this paper, the dynamic two-sided matching problem under the multi-form preference information was studied. Primarily, the problem of two-sided matching is described, then through group decision-making and uncertain preference information, an ordinal vector matrix is constructed. Afterwards, the comprehensive satisfaction matrix is calculated by using dynamic time-series weight and matching competition degree. Further, by introducing stable matching constraints, a multi-objective optimization model considering the satisfaction, fairness and stability of matching is constructed. Then the optimal matching result is obtained by solving the model. In addition, the presented method was verified through a case of cloud manufacturing. At the end, advantages of the presented model were demonstrated by comparison. Research results of this paper enrich the theoretical research of two-sided matching and provide an effective solution for cloud manufacturing matching in uncertain environments.

Dynamic Two-sided Matching Group Decision-making Model with Multi-form Preference Information for Configuring Tasks and Resources in Cloud Manufacturing

Enterprises have been faced with the problem of how to optimize resource allocation in an uncertain environment by the expanding of manufacturing informatization. In the process of cloud manufacturing matching, group decision making organizations may provide uncertain preference information. However, preference information at various points have led to differing impacts of the final matching decision. it is necessary to study the dynamic two-sided matching. In this paper, the dynamic two-sided matching problem under the multi-form preference information was studied. Primarily, the problem of two-sided matching is described, then through group decision-making and uncertain preference information, an ordinal vector matrix is constructed. Afterwards, the comprehensive satisfaction matrix is calculated by using dynamic time-series weight and matching competition degree. Further, by introducing stable matching constraints, a multi-objective optimization model considering the satisfaction, fairness and stability of matching is constructed. Then the optimal matching result is obtained by solving the model. In addition, the presented method was verified through a case of cloud manufacturing. At the end, advantages of the presented model were demonstrated by comparison. Research results of this paper enrich the theoretical research of two-sided matching and provide an effective solution for cloud manufacturing matching in uncertain environments.

Predictors of pharmacophobia

Recent studies estimate that between 30% to 50% of the population does not adhere to their prescribed therapies, and one of the reasons is pharmacophobia. Pharmacophobia is a fear of medication and a negative attitude toward drugs in general. The aim of this study was to determine predictors of pharmacophobia. 700 participants participated in the study, of which 80.9% were female. The age of the participants ranged from 19 to 62 years (M=26.5, SD=7.41). The instrument consisted of several questionnaires measuring attitudes toward drugs, beliefs about medicine, emotional disgust, medication form preference, tendency for alternative medical habits and the likelihood of believing in conspiracy theories. Also, the demographic data was collected. The research was conducted through an online survey. The results showed that out of the total number of participants, 20.3% evaluated themselves as pharmacophobic, and 79.7% as pharmacophilics. Given the goal of the study, the results obtained suggest that one of the predictors of pharmacophobia is the tendency to believe in conspiracy theories, where the higher inclination to believe in conspiracy theories leads to greater pharmacophobia. Furthermore, the preference for solid drug forms and drugs that are intended for usage through the body cavity also contribute to an explanation of pharmacophobia in a way that pharmacophobic persons do not have a preference toward said medication forms. The predictor that contributes the most in the explanation of pharmacophobia is a negative belief in drugs, suggesting that a person with an expressed negative attitude to medication will probably not adhere to prescribed therapies by doctors.

Modern psychodynamic psychotherapy of somatoform disorders: technology, effectiveness

At the present stage psychodynamic (psychoanalytic) psychotherapy is one of the most commonly used methods of psychological treatment and somatoform disorders (SFR), second only to cognitive-behavioral psychotherapy. The trends of the method technology are the following: focusing interventions on the most important pathogenetic mechanisms of SFR, short-form preference, distant treatment via the Internet, combining the basic technique with nonanalytical methods (in particular, hypnosis). The studies highlighted in the review provide reliable information about the effectiveness of the psychodynamic psychotherapy of SFR, however currently the evidence database on this issue is not sufficient and needs to be replenished.

Theorizing Informal Organizations

This chapter presents the central theory the book explores. After a brief review of prevailing functionalist and power-based approaches, it argues that to understand when informal organizations will be established one must explain, first, how states form preference as to the legal designs of international organizations, and second, whose preferences are likely to hold sway when states join each other at the negotiating table. The theory of preference formation emphasizes the importance of domestic institutional structures, levels of domestic constraints, and levels of politicization. The account of preference aggregation processes, or bargaining, emphasizes the structure of the bargaining scenario and the distribution of power. The final part of the chapter outlines the more dynamic theory of informality that is offered. This account explains how domestic shifts within powerful states—especially growing polarization and the rise of the regulatory state—have projected outward and reshaped the global system.