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The spread of COVID-19 prediction is one of the very important tasks in determining quarantine policies in terms of a pandemic. With the recent development of artificial intelligence, the use of various prediction methods has been proposed. In addition, various data on the spread of COVID-19 are provided by each country. However, despite abundant data availability because of different prevention policies and situations in each country, the use of data available through machine learning to predict COVID-19 situations in certain countries is still limited. To leverage sufficient data for the prediction using deep learning, we attempted to make predictions via regional spread data in a country for weekly predictions of COVID-19 growth over time using long short-term memory (LSTM) methods. In addition, the numbers of confirmed cases, recoveries, and deaths, and the variable population were noted to track the correlation with the accuracy of prediction. The accuracy assessment of the presented model was based on root mean square error, mean absolute percentage error, and graph visualization. We believe that achieving it accurate predictions using biased data, such as a sharp increase in the numbers of confirmed cases because of highly contagious variants, including omicron variants, is not easy. However, LSTM can predict patterns similar to that of actual data using various variables and regional data.
β-sitosteryl oleate was synthesized by transesterification reaction of β-sitosterol with methyl oleate. Total cholesterol values of male rats fed with high cholesterol diet were significantly decreased by administration of β-sitosteryl oleate. It was possible to dissolve β-sitosteryl oleate in oils by formulation with methyl oleate.
Natural clay(sodium-montmorillonite) and commercially available organo-clays were reacted with silane coupling agent (SCA) to improve the hydrophobicity of clays. This reaction was found to be very sensitive to many factors such as reaction temperature, water content and the concentration of SCA in reaction medium. In some cases, siloxane groups(Si-O-Si) were also produced by intermolecular cross-linking among SCAB. Organo-clays modified with SCA were compounded with PP-MA, however, no further intercalation was observed.
자가 재생능력이 있는 중배엽 줄기세포와 조혈모세포는 조골세포와 파골세포로 각각 분화된다. 또한 조골세포는 조혈모세포가 머무르는 장소로 제공되고, 파골세포는 조혈모세포의 자가 재생능력을 조절할 수 있다. 조혈모세포/면역세포/골세포는 골수 내 같은 공간에 존재하고, 분자생물학적 관점에서 면역세포와 골세포의 분화와 활성화에 필요한 공통인자들 사이에서 네트워크를 형성하고 있다. 또한 활발한 면역반응은 류마티스 관절염과 치주질환을 유발하고 궁극적으로 골다공증을 야기하는 것으로 알려져 있다. 면역체계의 적절한 조절은 뼈의 생성과 파괴를 조율할 수 있을 것으로 사료된다. 면역관련 세포의 활성화와 골세포 분화와 활성과의 밀접한 관련성으로 현재 "osteoimmunology (골면역학)" 이란 새로운 학문 분야가 대두되고 있다. Bone is the only solid organ and serves as a mechanical support and a reservoir of minerals. Bone homeostasis is achieved by the balance between bone-forming osteoblasts and bone-resorbing osteoclasts. Osteoblasts, which are derived from mesenchymal stem cells, secrete bone matrix proteins and promote mineralization. Otherwise, osteoclasts are derived from hematopoietic stem cells (HSC) that are capable of differentiating into all immune cells and resorb bone matrix by add decalcification and proteolytic degradation. Osteobalsts and osteoclasts are an important role in the regulation of HSC niche and development, showing that bone remodeling was linked to hematopoietic regulation. Long-lived memory T and B cells and bone cells coexist in the bone marrow reservoir as well as activated T cells that mediate adaptive immune system and osteoclasts that regulate bone turnover share a common molecules that are essential for their development and differentiation. In addition, activated T cell-expressed RANKL directly stimulates osteoclastogenesis. Accumulating evidence indicates that there is the interplay between the immune-related cells and bone remodeling-related cells. This review will discuss the osteoimmunology, an tnterdisciplinary approach to understanding the cross-talk between bone and the immune cells.