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Jiwoo Lim,Ji Ha Choi,Eun-Mi Park,Youn-Hee Choi 대한생리학회-대한약리학회 2020 The Korean Journal of Physiology & Pharmacology Vol.24 No.3
Promyelocytic leukemia (PML) gene, through alternative splicing of its Cterminal region, generates several PML isoforms that interact with specific partners and perform distinct functions. The PML protein is a tumor suppressor that plays an important role by interacting with various proteins. Herein, we investigated the effect of the PML isoforms on oncostatin M (OSM)-induced signal transducer and activator of transcription-3 (STAT-3) transcriptional activity. PML influenced OSMinduced STAT-3 activity in a cell type-specific manner, which was dependent on the p53 status of the cells but regardless of PML isoform. Interestingly, overexpression of PML exerted opposite effects on OSM-induced STAT-3 activity in p53 wild-type and mutant cells. Specifically, overexpression of PML in the cell lines bearing wild-type p53 (NIH3T3 and U87-MG cells) decreased OSM-induced STAT-3 transcriptional activity, whereas overexpression of PML increased OSM-induced STAT-3 transcriptional activity in mutant p53-bearing cell lines (HEK293T and U251-MG cells). When wild-type p53 cells were co-transfected with PML-IV and R273H-p53 mutant, OSM-mediated STAT-3 transcriptional activity was significantly enhanced, compared to that of cells which were transfected with PML-IV alone; however, when cells bearing mutant p53 were co-transfected with PML-IV and wild-type p53, OSM-induced STAT-3 transcriptional activity was significantly decreased, compared to that of transfected cells with PML-IV alone. In conclusion, PML acts together with wild-type or mutant p53 and influences OSM-mediated STAT-3 activity in a negative or positive manner, resulting in the aberrant activation of STAT-3 in cancer cells bearing mutant p53 probably might occur through the interaction of mutant p53 with PML.
The timely technical consulting for prevention work-related musculoskeletal disorders
Jiwoo Choi,Hyunha Shin,Tongwon Shin,Duckyeon Cho 대한인간공학회 2013 대한인간공학회 학술대회논문집 Vol.2013 No.5
Objective: This study is aimed at introduce the work-related musculoskeletal disorders(WMSDs) prevention activity in KOREA, focused on the timely technical consulting for WMSDs. Method: This activity is fist started from 2012, we visited the company in 2 months that occurred WMSDs. We consulted the preventive measures on the process that occurred WMSDs, and educated the employees about correct posture during work. Also, we visited again if the company recurrenced WMSDs. Results: We consulted 2,074 companies(under 300 workers) last year. The risk factors consisted of 59.3% accidental lumbar pain, 21.8% burdened work, 17.4% non-accidental and occupation related lumbar pain and 1.5% carpal tunnel syndrome and business consisted of service industry(46.2%) and manufacturing industry(41.0%). Examining MSDs in detail indicated that the majority of patients were male(80.4%), have less than 6 month of work experience(30.7%) and have worked for companies with less than 5 workers(28.9%). Only 20 of companies that we visited recurrenced a WMSDs in same year. Conclusion: WMSDs have increased steadily in KOREA and occupied 70% of occupational diseases. The timely technical consulting is very effective activity to prevent WMSDs. And it must to be expanded to actively prevent WMSDs.
Choi, Jung-Woo,Chung, Won-Hyong,Lee, Kyung-Tai,Cho, Eun-Seok,Lee, Si-Woo,Choi, Bong-Hwan,Lee, Sang-Heon,Lim, Wonjun,Lim, Dajeong,Lee, Yun-Gyeong,Hong, Joon-Ki,Kim, Doo-Wan,Jeon, Hyeon-Jeong,Kim, Jiwoo Oxford University Press 2015 DNA research Vol.22 No.4
<P>Pigs have been one of the most important sources of meat for humans, and their productivity has been substantially improved by recent strong selection. Here, we present whole-genome resequencing analyses of 55 pigs of five breeds representing Korean native pigs, wild boar and three European origin breeds. 1,673.1 Gb of sequence reads were mapped to the Swine reference assembly, covering ∼99.2% of the reference genome, at an average of ∼11.7-fold coverage. We detected 20,123,573 single-nucleotide polymorphisms (SNPs), of which 25.5% were novel. We extracted 35,458 of non-synonymous SNPs in 9,904 genes, which may contribute to traits of interest. The whole SNP sets were further used to access the population structures of the breeds, using multiple methodologies, including phylogenetic, similarity matrix, and population structure analysis. They showed clear population clusters with respect to each breed. Furthermore, we scanned the whole genomes to identify signatures of selection throughout the genome. The result revealed several promising loci that might underlie economically important traits in pigs, such as the <I>CLDN1</I> and <I>TWIST1</I> genes. These discoveries provide useful genomic information for further study of the discrete genetic mechanisms associated with economically important traits in pigs.</P>
최지우(Jiwoo Choi),최상일(Sangil Choi),강태원(Taewon Kang) 한국정보기술학회 2022 한국정보기술학회논문지 Vol.20 No.11
Various studies exist to identify individuals. Personal identification research based on inertial data, that is, acceleration and angular velocity acquired with an inertial sensor, is also one of these efforts. In fact, when learning inertial data with CNN, individuals can be identified with high accuracy. However, the individual identification model using inertial data significantly lowers the identification performance when the shoes worn by the individual change. This paper deals with improving this problem by using gait cycle data extracted from inertia data. First, the CNN model using the gait cycle was implemented, and then the model was evaluated using the representative performance evaluation indicators, such as accuracy, precision, recall, and F1-score. As a result, it was confirmed that the proposed model can identify individuals with more than 90% accuracy even when the shoes worn are different.
조선 초기 관료의 관청이동을 통해 본 주요 통치기구의 위상 - HAVNet 자료를 중심으로 -
최상일 ( Choi Sangil ),백승민 ( Paek Seungmin ),최지우 ( Choi Jiwoo ),예홍진 ( Yeh Hongjin ),이상국 ( Lee Sangkuk ) 수선사학회 2021 史林 Vol.- No.75
This paper is an introductory study to comprehensively grasp the betweenness centrality of government offices in the early Joseon dynasty using HAVNet data. The process of extracting data around the “Annals of the Joseon Dynasty” and designing and building HAVNet as the basis for research was conducted by history and computer science researchers, which were not the usual method in Korean historical research until now. The approach and analysis results carried out in this study are fundamentally different from previous studies related to the government organizations in the early Joseon dynasty. It is unique study in that it was analyzed based on the contents recorded in the Annals of the Joseon dynasty, not on previous research framework of analysis of state administration and government organizations in the early Joseon dynasty. Based on this study, we will conduct an interdisciplinary research that comprehensively analyzes blood ties and relationships among all historical figures of the Joseon dynasty.
최지우(Jiwoo Choi),최상일(Sangil Choi),강태원(Taewon Kang) 한국정보기술학회 2022 한국정보기술학회논문지 Vol.20 No.10
In a society centered on hyper-connectivity, as important as information sharing is that each piece of information must be viewed only by legitimate users. In this study, we propose a smartphone authentication system based on human gait, breaking away from the traditional authentication method. After learning human gait with CNN, it is mounted on a smartphone to determine whether the user is a legitimate user by walking for 7 seconds while carrying the smartphone. Accuracy, precision, recall, F1-score, and EER were applied as evaluation indicators of the model proposed in this study. As a result, accuracy, precision, recall, and F1-score all achieved an average of 95% or more, and the average EER was 0.048. What the system analysis results show is that the system proposed in this study has high reliability and low error rate. As a result, this study showed the possibility that human gait could be used as a new user authentication method.
최지우(Jiwoo Choi),유형진(Hyungjin Yoo),최상일(Sangil Choi),강태원(Taewon Kang) 한국정보기술학회 2021 한국정보기술학회논문지 Vol.19 No.8
In the gait cycle, heel strike (HS) and toe off (TO) of both feet are repeatedly included, and identification of the gait cycle is to find these activities within the cycle. In this paper, we study a method to identify the gait cycle using LSTM, a representative recurrent neural network model. Learning data were collected by performing a gait experiment 20 times each on 50 study participants, 25 males and females each. When performing the experiment, they wear an inertial sensor(acceleration and angular velocity) on their left wrist for collecting gait data. As a result of obtaining the average precision and recall after learning through the LSTM model, the precision was 95.98% and the recall rate was 93.18%. Through this, it can be confirmed that it is an effective method to identify the gait cycle by learning the data obtained from the inertial sensor with the proposed LSTM model.