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( Inha Lee ),( Young Bin Won ),( Heeyon Kim ),( Jae Hoon Lee ),( Bo Hyon Yun ),( Seok Kyo Seo ),( Sihyun Cho ),( Byung Seok Lee ),( Young Sik Choi ) 대한산부인과학회 2019 대한산부인과학회 학술대회 Vol.105 No.-
Objective: Emerging evidence suggests that several cytokines support embryonic development, protecting blastomeres from cell stress and apoptosis, promoting implantation. Therefore, possible correlations between embryo quality and the concentrations of specific cytokines in the culture medium of human embryos have been explored for many years. The aim of this study was to assess the levels of variety of cytokines in culture medium of preimplantation embryos and to investigate their relationship with embryo quality and in vitro fertilization (IVF) outcomes. Methods: A total of 75 samples were obtained from 31 infertile couples undergoing either IVF or ICSI treatment between August 2018 and May 2019. Each embryo was cultured separately, and embryo culture media was collected 72 hours after fertilization. The cytokine concentrations of each culture media were analyzed for 23 selected cytokines using Multiplex cytokine/chemokine panel II (Merck Millipore®). Prior to day 3 embryo transfer, morphological evaluation of each embryo was performed and categorized into two groups (top quality and non-top). Results: The median age of 31 patients was 34 years old (range:25-39). Thirteen cytokines resulted in out of range data due to small sample volume; therefore, 10 out of 23 cytokines were quantified and compared between top quality embryo group and non-top quality embryo group. Among 10 cytokines, Chemokine ligand (CCL)-8, CCL-13, CCL-15, CCL-27, and CXCL-12 were significantly elevated in top embryo group. Conclusion: Our results suggest that specific cytokines that are measured from human embryo culture medium can serve as a potential tool for predicting embryo quality and IVF outcomes.
InHae Choi,Chun Gun Park,Kyeong Eun Lee 한국데이터정보과학회 2018 한국데이터정보과학회지 Vol.29 No.3
This paper studies an efficient procedure for the outlier detection and variable selection problem in linear regression. The effect of outliers is added in linear regression as a mean shift parameter, nonzero or zero constant. To t this mean shift model, most penalized regressions have used some adaptive penalties on the parameters to shrink most of the parameters to zero. Such penalized models do select the true variables well, but do not detect the outliers correctly. To overcome this problem, we first determine a group of possibly suspected outliers using difference-based regression model (DBRM) and add the group to the linear model as the parameters of the effect of each suspected outlier. Then, we perform outlier detection and variable selection simultaneously using Lasso regression or Elastic net regression for the linear regression with the effect term of each suspected outlier added. The proposed method is more efficient than the previous penalized regression. We compare the proposed procedure with other methods using a simulation study and apply this procedure to the real data.
Development of Stiffness Analysis Program for Automotive Wheel Bearing
Inha Lee(이인하),Younggeol Cho(조영걸),Jungho An(안정호),Youngmin Cho(조영민),Munsung Kim(김문성),Cheonsoo Jang(장천수),Younghwan Lee(이영환),Seungpyo Lee(이승표) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
Automotive wheel bearing is an essential component of the vehicle and transmits engine power into wheels and supports vehicle weight. As comfortable ride has recently been the common interest, the stiffness of bearing which affects the steering performance becomes significant. In this study, the program BSAP was developed to carry out the stiffness analysis by designer easily and quickly. BSAP has three templates; CATIA template, AFC template, and Report template. In CATIA template, 3D analysis model was generated from the CAD model by eliminating useless fillets and holes and assigning heat treatment parts. Material property, boundary conditions and loadings were applied and analysis was performed in AFC template. Finally, analysis results were reported automatically in Report template. Bearing stiffness analysis was performed by using the BSAP. To verify the reliability of BSAP, the analysis results were compared with experiment results. They showed good agreement with the experiment results.
A case of generalized argyria presenting with muscle weakness
Inha Jung,Eun-Jeong Joo,Byung seong Suh,Cheol-Bae Ham,Ji-Min Han,You-Gyung Kim,Joon-Sup Yeom,Ju-Yeon Choi,Ji-Hye Park 대한직업환경의학회 2017 대한직업환경의학회지 Vol.29 No.-
Background: Argyria is a rare irreversible cutaneous pigmentation disorder caused by prolonged exposure to silver. Herein, we report a case of generalized argyria that developed after chronic ingestion of soluble silver-nano particles and presented with muscle weakness. Case presentation: A 74-year-old woman visited our emergency room, complaining of fever and mental deterioration. She was diagnosed with acute pyelonephritis and recovered after antibiotic therapy. At presentation, diffuse slate graybluish pigmented patches were noticed on her face and nails. Two months prior to visiting our hospital, she was diagnosed with inflammatory myopathy and given steroid therapy at another hospital. We performed a nerve conduction study that revealed polyneuropathy. In skin biopsies from pigmented areas of the forehead and nose, the histopathologic results showed brown-black granules in basement membranes of sweat gland epithelia, which are diagnostic findings of argyria. We reviewed pathology slides obtained from the left thigh muscles and found markedly degenerated myofibers with disorganization of myofibrils without inflammatory reactions, consistent with unspecified myopathy, rather than inflammatory myopathy. The patient was diagnosed with generalized argyria with polyneuropathy and myopathy and transferred to a rehabilitation institution after being tapered off of steroids. Conclusions: Clinicians should be aware of clinical manifestations of argyria and consider it in differential diagnosis when they examine patients who present with skin pigmentation and muscle weakness.