This paper analyzes the necessity and operation of conceptual macromolecule inside Edgar Morin’s school of thought due to the significant connection of his epistemological proposal and the language transformation with which the knowledge of reality is expressed in complex thought. This paper is organized as follows. First, we pointed the essential link between conceptualizer/observer subject and the macro-conceptualization. Second, we interpret the system or complex basic unity expounded in Method I based on complexity principles. Finally, it may be concluded that (...) the linguistic resources used by this paradigm are in accordance with the new ways to understand complexity. (shrink)

Hesitations about accepting whole-heartedly Norris et al.'s suggestion to abandon feedback in speech processing models concern (1) whether accounting for all available data justifies additional layers of complexity in the model and (2) whether characterizing Merge as non- interactive is valid. Spoken word recognition studies support the nature of Merge's lexical level and suggest that phonemes should comprise the prelexical level.

Ainda é controversa a existência de associações entre construtos psicológicos e estados nutricionais. O presente trabalho teve por objetivo verificar as relações entre autoconceito, traços depressivos, satisfação e percepção corporal entre crianças com e sem excesso de peso. Participaram do estudo 4..

Gabriel Marcel, un grand penseur français du XXe siècle, est l'auteur d'un grand nombre d'ouvrages et d'études philosophiques, d'une importante oeuvre théâtrale et de remarquables critiques musicales. La première partie de ce recueil est constituée par des études consacrées à l'oeuvre marcellienne lue selon ses grands thèmes et moments. La seconde partie, de textes bien plus nombreux, traite des rapports et des analogies entre Gabriel Marcel et certains de ses contemporains, notamment N. Berdiaeff, G. Thibon et E. Lévinas.

We investigated the influence of the compatibility between mood and decision strategies on the subjective value of a decision outcome. Several studies have provided evidence for the idea that a sad mood induces people to analyse information carefully, probably fitting well with a deliberative decision strategy. In a happy mood, people tend to act more strongly on their feelings, probably fitting well with an intuitive decision strategy. However, sometimes the situation demands the use of decision strategies that seem incompatible with (...) mood states. We expected that decision makers would value a decision outcome higher in the case of a fit between mood and decision strategy than in the case of a non-fit. After a mood manipulation, participants were instructed to decide either based on their first affective reaction or after deliberation. Results confirmed our expectations: fitting decisions enhanced the subjective value of a decision outcome. (shrink)

Optimization by definition is the action of making most effective or the best use of a resource or situation and that is required almost in every field of engineering. In this work, the optimization of Least Mean square (LMS) algorithm is carried out with the help of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Efforts have been made to find out the advantages and disadvantages of combining gradient based (LMS) algorithm with Swarm Intelligence SI (ACO, PSO). This optimization (...) of LMS algorithm will help us in further extending the uses of adaptive filtering to the system having multi-model error surface that is still a gray area of adaptive filtering. Because the available version of LMS algorithm that plays an important role in adaptive filtering is a gradient based algorithm, that get stuck at the local minima of system with multi-model error surface considering it global minima, resulting in an non-optimized convergence. By virtue of the proposed method we have got a profound solution for the problem associated with system with multimodal error surface. The results depict significant improvements in the performance and displayed fast convergence rate, rather stucking at local minima. Both the SI techniques displayed their own advantage and can be separately combined with LMS algorithm for adaptive filtering. This optimization of LMS algorithm will further help to resolve serious interference and noise issues and holds a very important application in the field of biomedical science. (shrink)