Subcellular Organelles in Immune Responses of Severe Asthma: The Roles of Mitochondria and Endoplasmic Reticulum

Subcellular organelles including mitochondria and endoplasmic reticulum are now considered as one major target for many therapeutic approaches. In fact, recent evidence has uncovered the roles of mitochondria as a direct inflammatory and immune controller and contributor to the diseases by metabolic dysfunction and/or their abnormal dynamics. In addition, one of the important subcellular organelles, endoplasmic reticulum, also plays as an immune responder in several diseases including bronchial asthma. Recently, we have reported that the endoplasmic reticulum stress and mitochondrial reactive oxygen species (ROS) contribute to the pathogenesis of steroid-resistant severe bronchial asthma through the modulation of immune responses such as production of regulatory cytokines and NLRP3 inflammasome activation. These findings indicate that the subcellular organelles and their complex can be a promising target for the development of novel therapeutic strategies including medicines to cure severe asthma. This chapter is aimed to present the state-of-art information regarding the role of subcellular organelles in severe asthma

Toward An Individualized FL Instruction : Some Practical Appraches in Teaching Methodology

I wish to present In this paper some practical approaches and devices which would ''Contribute to an extensive implementation of the individualized language instruction in the Korean Department DLI, in the near future. I ,am hopeful that ideas and suggestions which are originally meant to be addressed to the future of' the DLI Korean Course would 'become applicable to language programs in other DLI depaartments as well

Simple and convenient method for adipose-derived mesenchymal stem cells serum-free medium development

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AI Machine Vision based Oven White Paper Color Classification and Label Position Real-time Monitoring System to Check Direction

We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning