The Effects of Coping, Self-Esteem, and Social Support on Stress and Wellbeing

The present study aimed to add to the literature on the internal and external factors that may buffer the negative effects of stress. Specifically, the present study examined the effects of coping styles, self-esteem, and social support on both psychological wellbeing and stress. Participants (N = 198) were administered a measure of coping styles (COPE), self-esteem (Rosenberg\u27s Self-Esteem Scale), social support (SSQ-R), psychological wellbeing (MHI), and stress (ICSRLE). Results showed problem-focused coping and emotion-focused coping were associated with better psychological wellbeing and lower stress. Avoidant coping was associated with lower psychological wellbeing and higher stress. Self-esteem was also related to higher psychological wellbeing and lower stress. Overall social support network size was predictive of psychological wellbeing in the overall sample, but not predictive of stress; however, in the college age group, overall social support was not predictive of wellbeing or stress. Satisfaction with social support was predictive of both wellbeing and stress. In general, the findings of the present study agreed with the findings of previous research. Exceptions and implications are discussed

Jean de Raguse. Son importance pour l'ecclésiologie du XVe siècle

L'auteur présente la personne et l'œuvre de Jean de Raguse (circa 1390 - circa 1443), docteur de l'Université de Paris, chargé à mainte reprise de missions diplomatiques par la cour pontificale, notamment au concile de Bâle (1431). On analyse son principal ouvrage théologique : Tractatus de ecclesia contra Bohemos, jusqu'ici demeuré inédit, et qui constitue un document précieux pour la connaissance de la doctrine hussite et de l'ecclésiologie catholique au XVe siècle.Kubalik J. Jean de Raguse. Son importance pour l'ecclésiologie du XVe siècle. In: Revue des Sciences Religieuses, tome 41, fascicule 2, 1967. pp. 150-167

Uma proposta de reabilitação para o Hospital Miguel Bombarda

Dissertação de Mestrado para obtenção do grau de Mestre em Arquitectura, apresentada na Universidade de Lisboa - Faculdade de Arquitectura

Symbolic regression driven by training data and prior knowledge

In symbolic regression, the search for analytic models is typically driven purely by the prediction error observed on the training data samples. However, when the data samples do not sufficiently cover the input space, the prediction error does not provide sufficient guidance toward desired models. Standard symbolic regression techniques then yield models that are partially incorrect, for instance, in terms of their steady-state characteristics or local behavior. If these properties were considered already during the search process, more accurate and relevant models could be produced. We propose a multi-objective symbolic regression approach that is driven by both the training data and the prior knowledge of the properties the desired model should manifest. The properties given in the form of formal constraints are internally represented by a set of discrete data samples on which candidate models are exactly checked. The proposed approach was experimentally evaluated on three test problems with results clearly demonstrating its capability to evolve realistic models that fit the training data well while complying with the prior knowledge of the desired model characteristics at the same time. It outperforms standard symbolic regression by several orders of magnitude in terms of the mean squared deviation from a reference model.</p

An Efficient Multiple-Parity Generator Design for On-Line Testing on FPGA

We propose a method to efficiently design a “parity generator”, which is a stand-alone block producing multiple parity bits of a given circuit. The parity generator is designed by duplicating the original circuit, by XOR-ing given groups of its outputs and resynthesizing the whole circuit. The resulting circuitry is smaller than the original circuit in most of cases. The major task to be solved is to properly select the groups of outputs to be XORed to obtain multiple parity bits and maximally reduce the generator size. A method based on principles of the FC-Min minimizer is proposed in this paper. The parity generator can be exploited in on-line diagnostics, to design self-checking circuits. In our solution the self-checking circuits are basic blocks of the modified duplex system architecture used for increasing dependability parameters of a reliable design based on FPGAs. The method is tested on standard MCNC benchmark circuits and its efficiency is evaluated

High Level Diagnostics.

Available from STL Prague, CZ / NTK - National Technical LibrarySIGLECZCzech Republi