To determine the effect of Korean medicine treatment of avascular necrosis of the femoral head (ANFH) this study reviewed both single ingredients and bioactive compounds in the treatment of ANFH in a rat model. Literature was retrieved from PubMed and Google Scholar using the keywords “femur head necrosis,” “natural extract,” and “rat.” The data from studies analyzed included: rats’ characteristics, development methods of ANFH, natural extracts administration, observation methods, and outcome indicators. Two independent researchers screened all articles retrieved and 26 studies were chosen. The most used rat species was the Sprague Dawley rat (76.9%). To induce ANFH, steroid injections (46.2%), and oral gavage (53.8%) were typically used. Studies focused mainly on factors affecting bone formation (65.3%), and apoptosis (53.8%). Research on ANFH focused on using traditional natural substances mentioned in classical literature to confirm its effectiveness against anti-inflammation, osteogenesis, and cell death. ANFH has a diverse etiology, therefore research models such as genetic analysis of human-derived samples from ANFH patients may shed more light on the condition. Moreover, research into herbal medicines and pharmacoacupuncture treatment of ANFH should precede.
Evolution is a central concept that unifies all areas of life sciences. Despite longstanding scientific efforts in science education, the public's scientific awareness of evolution still needs to improve. Furthermore, teaching evolution is subject to recurring controversy. This study aimed to investigate the gap between public understanding of evolution seen through online spaces and contents in a school curriculum and explore its reasons. A content analysis was conducted using data mining on a major online portal in Korea. It examined the characteristics of creating and consuming content on evolution through the online portal service based on analyzing the number of posts related to biological evolution and active participants. It also discussed the feasibility of automatic document classification to distinguish between scientific understanding and non-scientific beliefs on the evolution and related online circulating contents. The results show that there are tactics for public exposure and dissemination of creationism through online discussions. Keywords: automated classification, machine learning, network analysis, public understanding of evolution
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