http://popups.lib.uliege.be/1373-5411/index.php?id=1491 Publications of Auteurs Shusaku Nomura fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=3041 Two contrasting approaches toward an epidemic study were illustrated in this study; one is the regression analysis which is rather conventional methodology used in the past/present epidemic studies, and the other is the classifier analysis which is in the soft computing toolbox. The dataset analysed is a part of a cohort study which principally focused on a fatigue syndrome of the elementary and junior high school educatees. In the classifier analysis we employed a major supervised machine-learning algorithm, K-nearest Neighbour (K-NN), coupled with Principal Component Analysis (PCA). As a result, the performance that was found by the classifier analysis provides rather better results than that of the regression analysis. Finally we discussed the availability of both analyses with referring to the technical and conceptual limitation of both approaches. Fri, 06 Sep 2024 16:04:21 +0200 Tue, 08 Oct 2024 17:29:16 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3041 http://popups.lib.uliege.be/1373-5411/index.php?id=2354 Random-dot Stereogram (RDS) has been used for the research on neurophysiological mechanism of binocular vision and characteristic brain waves (VEP) evoked by three-dimensional perception were reported. However, in previous studies, because the RDS was presented to a subject rather passively with the aid of supportive devices, the VEP has been recorded at a short period by which the subject's perception of RDS and cognition of the embedded figure was not distinguishable. By contrast, we designed an experiment in which a subject was required to find out the embedded figure so that the moment of the perception of RDS appearance and the cognition of the embedded figure is distinguishable. We then estimated the moment of the cognition by EOG profiles and observed characteristic brain potentials by referring to that estimated moment. Thu, 01 Aug 2024 15:26:38 +0200 Tue, 08 Oct 2024 13:34:13 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2354 http://popups.lib.uliege.be/1373-5411/index.php?id=1487 We studied the chemo-tactical behavior of an amoeboid multinuclear cell, Physarum polycephalum plasmodium, and observed a local deviation within the organism played the key role to escape from a severe environmental condition. The organism has been studied as coupled nonlinear oscillators system, which is one of the famous self-organizing system for the study of morphogenesis. Such a model frequently concentrated on cohesive force that makes the non-differential organism maintain as a single individual avoiding from separation. Deviation from cohesion is frequently regarded as extrinsic perturbation. However, the drastic change of development of the organism shown in our experiments cannot explain by the external stochastic perturbation. From experimental facts, we, by contrast, focused on the duality of cohesive and deviational force. We have constructed a new model introducing such a duality by an interface of a self-similar transition map, which is temporally constructed by neighbors'states. Because of such a non-differentiable transition map, even if an initial state of one element would be close to another one, the state transition of them is not always similar each other. Such a duality thus implies the idea of incomplete identification for an element that has just the limited information. We tested our model and showed the possibility that such an incomplete identification, by contrast, could drive the global coordinating featuring the plasticity as a single system. Fri, 12 Jul 2024 15:15:39 +0200 Tue, 08 Oct 2024 13:48:55 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1487