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In vitro fertilization using sex-sorted boar sperm mediated by magnetic nanoparticles
Hakjae Chung,Sunyoung Baek,Soojin Sa,Youngshin Kim,Joonki Hong,Eunseok Cho,Jihwan Lee,Seungmin Ha,Jungho Son,Seunghwan Lee,Inchul Choi,Kyungwoon Kim 충남대학교 농업과학연구소 2020 Korean Journal of Agricultural Science Vol.47 No.4
Design Approach for Additive Manufacturing of a Dynamically Functioning System: Lifeboat Hook
Ulanbek Auyeskhan,Namhun Kim,Chung-Soo Kim,Tran Van Loi,Jihwan Choi,Dong-Hyun Kim 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.5
The design freedom provided by Additive Manufacturing (AM) enables the part consolidation (PC) of sophisticated mechanical assemblies. However, PC has been mainly performed for static components in assemblies with nonmoving parts. In this regard, a new approach to assembly-level Design for Additive Manufacturing (A-DfAM) considering an industrial lifeboat hook assembly with a functionally dynamic system is proposed. The methodology comprises steps starting from inputting the Computer-Aided Design (CAD) fi les for the 3D printing of the final assembly and evaluation. Throughout the design stages, opportunistic and restrictive natures of DfAM within our methodology direct engineers and designers to manufacture optimized products. In addition, a comparative assessment of the original and fi nal assemblies is also illustrated. Consequently, a significant part-count reduction after PC was achieved, and the prototype of the lifeboat hook components was printed via laser-powder bed fusion (L-PBF). This shows that by incorporating the suggested A-DfAM framework, it can serve as a potential guide to whoever intends to manufacture dynamic assemblies.
( Sun Young Yim ),( Chung Gyo Seo ),( Yoo Jin Lee ),( Jihwan Lim ),( Tae Hyung Kim ),( Young Sun Lee ),( Na Yeon Han ),( Yeon Seok Seo ),( Ji Hoon Kim ),( Hyung Joon Yim ),( Young Dong Yu ),( Dong Sik 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1
Aims: The American Joint Committee on Cancer (AJCC) 8th edition staging manual introduced several significant changes to the staging system for hepatocellular carcinoma (HCC). However, the revised staging system still does not consider tumor gross morphology when staging, which is considered to be an important predictive factor of survival in HCC patients as previously reported. Firstly, we aimed to compare the diagnostic efficacy of 8th edition of AJCC staging system to 7th edition. Secondly we evaluated the impact of infiltrative type HCC and propose new staging system to improve the diagnostic efficacy of current staging system. Methods: We retrospectively reviewed database of 992 patients with pathologically confirmed HCC between year 2004 and 2016 from three institutes. The infiltrative type HCC was defined as a mass with foci varying in size which fuse to form a larger foci without a distinct margin or a mass with a permeative appearance which blends into the background of the cirrhotic liver with an indistinct margin. Overall survival analysis (OS) were performed using Kaplan-Meier method and compared using log-rank tests. The Harrell concordance index (c index) and Akaike information criterion (AIC) were calculated to compare prognostic powers. Results: A total of 774 patients who had undergone hepatic resection were available for the analysis. The cohort was comprised of T1 (55.6%), T2 (32.8%), T3a (5%), T3b (4.7%) and T4 (1.9%) stages according to AJCC 7<sup>th</sup> staging system while T1a (21.4%), T1b (37%), T2 (30%), T3 (5%) T4 (6.6%) stages according to AJCC 8<sup>th</sup> staging system (Fig. 1). The OS did not differ between the advanced stages (T3a vs T3b; T3b vs T4 in AJCC 7<sup>th</sup> edition similarly between T2 vs T3; T3 vs T4 in 8<sup>th</sup> edition). Among all patients, 56 patients had infiltrative type HCC and OS analysis was performed after reclassifying the infiltrative type HCC separately. The OS of the patients with infiltrative type HCC was similar to OS of T4. After excluding infiltrative type HCC, sub-analysis was performed according to tumor sizes (≤2cm, >2-4cm, >4cm) for single and multiple tumors respectively as survival rate did not differ between the stages as shown above. Since the OS rate differed significantly among tumors with different sizes, we modified the T-stages as shown in Table 1. The modified AJCC T-staging system efficiently stratified patients according to survival as shown in Fig.1. Furthermore, modified staging system showed highest diagnostic performance followed by AJCC 8<sup>th</sup> edition and AJCC 7<sup>th</sup> edition (AIC 3074.4 vs 3087.8 vs 3103.4 and C-index 0.701 vs 0.67 vs 0.65, all P<0.01). Conclusions: The AJCC 8<sup>th</sup> T-staging system showed improved prognostic efficacy compared to 7<sup>th</sup> edition. However, modified AJCC staging system presented finer stratification of patients compared to previous staging systems by reclassifying sizes within single or multiple tumors and reassigning infiltrative type HCC to T4. The AJCC staging system requires surgical specimen for analysis and this study includes a large number of patients who undergone hepatectomy which is believed to have clinical impact with further validation in other cohorts.
스마트 디바이스 기반 유지보수 관리자용 자동화 모델 구축에 관한 연구
박지환,정수완,이서준,송진우,권순욱,Park, Jihwan,Chung, Suwan,Lee, Seojoon,Song, Jinwoo,Kwon, Soonwook 한국건설관리학회 2021 한국건설관리학회 논문집 Vol.22 No.1
지난해 기준 국내 30년이 넘은 노후화 건축물이 37%를 차지하고 있으며, 건물 노후화 수치가 점차적으로 늘어남에 따라, 건물유지보수의 필요성이 대두되고 있다. 건물의 유지보수를 위해서는 많은 작업 주체가 참여하여 업무를 진행한다. 그 중 '유지보수 관리자'의 업무가 가장 큰 비중을 차지한다. 현재 업무를 살펴보면 유지보수 건축물의 이력관리를 도면 혹은 수기로 기록하여 보관하는 방식으로 진행되고 있으며, 해당 자료를 재 열람하기 위해서는 많은 시간이 소모된다. 이에 본 연구에서는 작업자의 유지관리 업무 편의성 향상과 이력관리를 최적화 하기위해 기존 유지보수 프로세스를 파악하고, 분석하여 문제점을 도출하고 스마트 디바이스 기반의 자동화 모델을 구축하였다. 본 연구는 스마트 디바이스 기반의 자동화 모델 구축을 위하여, ① 일반적인 시설물 관리 프로세스 분석 및 관련 문헌 검토, ② 현재 유지보수 프로세스 개선, ③BIM Data, COBie Data, IoT 및 AR 기술을 기반으로 유지보수 관리 자동화 모델 기능 구성도 제작, ④ 스마트 디바이스 기반 유지보수 관리 자동화 모델 구축, ⑤ 사례 현장 적용, 유지보수 관리 진행 및 이력정보 재검토 소요 시간 비교를 통한 시스템 검증을 실시하였다. Based on the previous year's statistics, 37% of buildings in South Korea are aged over 30 years. As the number of the aging buildings increases, so does the need for maintenance. Building maintenance involves a significant number of works; the work of 'maintenance manager' accounting for the largest part. Currently, the maintenance history record is mostly in drawing or handwritten form which makes reviewing the data highly time consuming. Therefore, to improve the convenience of maintenance works and optimize historical data management, the existing maintenance process was analyzed. Problems were derived and a smart device-based automation model was established. In order to establish a smart device-based automation model, ① general flow of facility management process was analyzed and related articles were reviewed, ② current maintenance process was optimized, ③ functional block diagram of BIM Data, COBie Data, IoT, and AR-based automated maintenance management model was created, ④ a smart device-based automated maintenance management model was constructed, ⑤ finally, the above system was verified by testing the aforementioned model in the field site, evaluating the time required for the maintenance process and reviewing maintenance history data against the current one.