PURPOSES : This study aimed to predict the number of future COVID-19 confirmed cases more accurately using public and transportation big data and suggested priorities for introducing major policies by region. METHODS : Prediction analysis was performed using a long short-term memory (LSTM) model with excellent prediction accuracy for time-series data. Random forest (RF) classification analysis was used to derive regional priorities and major influencing factors. RESULTS : Based on the daily number of COVID-19 confirmed cases from January 26 to December 12, 2020, as well as the daily number of confirmed cases in Gyeonggi Province, which was expected to occur on December 24 and 25, depending on social distancing, the accuracy of the LSTM artificial neural network was approximately 95.8%. In addition, as a result of deriving the major influencing factors of COVID-19 through random forest classification analysis, according to the number of people, social distancing stages, and masks worn, Bucheon, Yongin, and Pyeongtaek were identified as regions expected to be at high risk in the future. CONCLUSIONS : The results of this study can help predict pandemics such as COVID-19.

Dyslipidemia, defined as elevated triglyceride (TG), total- and LDL-C, and/or decreased HDL-C levels, is considered a principal risk factor for cardiovascular disease. The low-density lipoprotein receptor (LDLR) family has been considered a key player in the prevention of dyslipidemia. The LDLR family consists of cytoplasmic membrane proteins and plays an important role not only in ligand–receptor binding and uptake, but also in various cell signaling pathways. Emerging reports state that various functional ingredients dynamically modulate the function of the LDLR family. For instance, oats stimulated the LDLR function in vivo, resulting in decreased body weight and improved serum lipid profiles. The stimulation of LRP6 by functional ingredients in vitro activated the Wnt/β-catenin pathway, subsequently suppressing the intracellular TG via inhibition of SREBP1, PPARγ, and C/EBPα. Furthermore, the extract of Cistanchetubulosa enhanced the expression of the mRNA of VLDLR, followed by a reduction in the serum cholesterol level. In addition, fermented soy milk diminished TG and total cholesterol levels while increasing HDL-C levels via activation of LRP1. To summarize, modulating the function of the LDLR family by diverse functional ingredients may be a potent therapeutic remedy for the treatment of dyslipidemia and cardiovascular diseases.

High fructose corn syrup (HFCS) is a liquid sweetener of glucose-fructose monomer mixture, commonly known as replacement for sucrose (table sugar). HFCS was first applied to food companies in the early 1970s ever since there was a huge increase of its use worldwide, especially in beverage and processed food. While the metabolic and nutritional characteristics of HFCS have been widely studied, only recently has the role of HFCS in metabolic syndrome and other health issues emerged. Studies in many laboratories worldwide have built the evidence that excessive consumption of HFCS plays a crucial role in insulin resistance, dyslipidemia, obesity, hypertension, and kidney disease. This manuscript reviews the history, manufacturing process, and nutritional and metabolic traits of HFCS and describes its involvement in the pathogenesis of metabolic syndromes and obesity.

우리 정부와 해운기업은 해상에서의 인명 및 환경보호를 위해 노력하고 있지만 아직까지 내항선에서의 안전관리가 미흡하여 내항선에 맞는 체계적이고 현실적인 안전관리체제 운영의 내실화 방안이 절실하다. 본 논문은 관련기관 및 해운기업에 설문조사를 하였으며, 실증분석을 통하여 현 내항선안전관리의 문제점을 파악하고 개선하여 우리나라 내항해운에 적합한 안전관리체제의 내실화 방안을 제시하고자 한다.

울돌목 수로에서 요각류 35개 분류군을 포함하여 총 55개 동물플랑크톤이 출현하였다. 연안종은 계절적인 종천이를 보였으며, 난류 외양성 종은 전 조사 시기에서 출현하였다. 분류군 수는 창조 시 저조에서 고조로 갈수록 증가하며 낙조 시 고조에서 저조로 갈수록 감소하였다. 따라서 울돌목 해역은 연중 외해수 영향에 따른 외양종의 유입으로 동물플랑크톤 종조성에 영향을 받는다. 전체 동물플랑크톤 현존량은 104~2,717indiv.m-3의 범위를