２１世紀のグローバル時代に必要な新しい資本主義のかたち。近代日本産業の父・渋沢栄一の叡智に学ぶ国際プロジェクトの成果を紹介。.

水素水、マイナスイオン、デトックス...。その健康法、本当に科学的? 健康で長生きしたいという願望につけ入るニセ科学を一刀両断。.

Microautophagy is originally defined as lysosomal (vacuolar) membrane dynamics to directly enwrap and transport cytosolic components into the lumen of the lytic organelle. Molecular details of microautophagy had remained unknown until genetic studies in yeast identified a set of proteins required for the process. Subsequent studies with other experimental model organisms resulted in a series of discoveries that accompanied an expansion of the definition of microautophagy to also encompass endosomal membrane dynamics. These findings, however, still impose puzzling, non‐integrated images as (...) to the molecular mechanism of microautophagy. By reviewing recent studies on microautophagy in various experimental systems, we propose the classification of microautophagy into three types, as the basis for developing a comprehensive view of the process. (shrink)

Recently, null arguments have been treated as an ellipsis phenomenon, derived by PF-deletion or LF-copy under some kind of identity requirements. Focusing on Japanese null arguments, this paper argues that they are base-generated empty nominals which are interpreted via choice functions. The functional approach is supported by cases involving intermediate scope readings, missing antecedents, and implicational bridging. A less standard case of Japanese null arguments anteceded by QPs is also discussed and shown to be amenable to the choice functional analysis (...) supplemented by a general requirement of structural parallelism. (shrink)

Increasing student involvement in classes has always been a challenge for teachers and school managers. In online learning, some interactivity mechanisms like quizzes are increasingly used to engage students during classes and tasks. However, there is a high demand for tools that evaluate the efficiency of these mechanisms. In order to distinguish between high and low levels of engagement in tasks, it is possible to monitor brain activity through functional near-infrared spectroscopy. The main advantages of this technique are portability, low (...) cost, and a comfortable way for students to concentrate and perform their tasks. This setup provides more natural conditions for the experiments if compared to the other acquisition tools. In this study, we investigated levels of task involvement through the identification of correct and wrong answers of typical quizzes used in virtual environments. We collected data from the prefrontal cortex region of 18 students while watching a video lecture. This data was modeled with supervised learning algorithms. We used random forests and penalized logistic regression to classify correct answers as a function of oxyhemoglobin and deoxyhemoglobin concentration. These models identify which regions best predict student performance. The random forest and penalized logistic regression obtained, respectively, 0.67 and 0.65 area of the ROC curve. Both models indicate that channels F4-F6 and AF3-AFz are the most relevant for the prediction. The statistical significance of these models was confirmed through cross-validation and a permutation test. This methodology can be useful to better understand the teaching and learning processes in a video lecture and also provide improvements in the methodologies used in order to better adapt the presentation content. (shrink)