https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/764 Sat, 04 Apr 2026 01:35:51 GMT 2026-04-04T01:35:51Z https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/28049 Title: Analysis of Near-Fall Detection Method Utilizing Dynamic Motion Images and Transfer Learning Authors: Kim, Jung-Yeon; Mat, Nab; Kim, Chomyong; Khan, Awais; Gil, Hyo-Wook; Lyu, Jiwon; Chung, Euyhyun; Kim, Kwang Seock; Jeon, Seob; Nam, Yunyoung Abstract: This study explores a model for detecting fall, non-fall and near-fall events as frequent experiences of near-falls are closely associated with a heightened risk of falls. Detecting near-falls can lead to more accurate predictions of falls. However, near-falls exhibit certain movement patterns similar to actual falls, making it challenging to distinguish between near-fall events and falls. We investigated the detection of fall-related activities, including falls, near-falls, and non-falls, by utilizing dynamic motion images derived from video clips. There were two primary classification approaches: a vanilla convolutional neural network (CNN) model and a transfer learning approach that utilizes InceptionV3 and DenseNet201 models as feature extractors and train conventional machine learning classifiers, such as support vector machine (SVM), K-nearest neighborhood, decision tree, and random forest, and adaptive boosting models. The vanilla CNN model achieved a high accuracy of 97.89% compared to the transfer learning approach, which reached a maximum accuracy of 95.54% for binary classification of fall and non-fall events. On the other hand, the transfer learning approach, which integrated feature from InceptionV3 and DenseNet201 into machine learning classifiers, achieved an accuracy of up to 90.14% for the three-class classification of fall, non-fall, and near-fall events. The findings of this study underscores the model & Atilde;s robustness in detecting various fall-related activities, highlighting its potential for improving safety in at-risk populations. Mon, 01 Dec 2025 00:00:00 GMT https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/28049 2025-12-01T00:00:00Z https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/28284 Title: Tau reduction impairs nephrocyte function in Drosophila Authors: Lee, Jiyoung; Kim, Dayoung; Cha, Sun Joo; Lee, Jang-Won; Lee, Eun-Young; Kim, Hyung-Jun; Kim, Kiyoung Abstract: Tau, a microtubule-associated protein, is known for its significant involvement in neurodegenerative diseases. While various molecular and immunohistochemical techniques have confirmed the presence of Tau in podocytes, its precise function within these cells remains elusive. In this study, we investigate the role of Tau in kidney podocytes using Drosophila pericardial nephrocytes as a model. We found that knockdown of DrosophilaTau in nephrocytes resulted in apoptotic cell death and the disruption of nephrocyte structure. Furthermore, we observed that decreased Tau levels induced genomic damage and abnormal distribution of gamma-H2Av, altering nuclei architecture in nephrocytes, and affecting the nuclear membrane structure by interfering with lamin with aging. Additionally, Tau knockdown led to a reduction in lipid droplets in Drosophila fat body tissues, suggesting a potential role of Tau in inter-organ communication. These findings underscore the importance of Tau in the nephrocytes of Drosophila, and advocate further research to broaden our understanding of podocyte biology in kidney diseases. [BMB Reports 2025; 58(4): 169-174] Mon, 01 Dec 2025 00:00:00 GMT https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/28284 2025-12-01T00:00:00Z https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/27868 Title: 이청준 소설에 나타난 모성성 연구 Authors: 김영숙; 이정선 Abstract: 본 연구는 이청준 문학에서 탈향과 귀향 모티브의 중심에 자리한 ‘어머니’에 대한 모성성을 집중 조명한 것이다. ‘고향’과 ‘어머니’는 이청준의 삶에서 정신적 근원이었고, 그의 소설에서도 중요한 위치를 차지했다. 아버지를 일찍 여읜 그에게는 어머니가 전부였다. ｢새가 운들｣, ｢눈길｣ 등 여러 작품은 그의 고향과 어머니의 바탕 위에서 탄생한 ‘망향가’이자 ‘사모곡’이다. 이에 각 작품에서 나타나는 모성성의 특징을 가난에서 표출되는 부끄러움과 자존심, 체념에 따른 숙명적 태도로서 무한 기다림, 자기 진술의 도구로 나누어 살폈다. 이청준의 작품에는 대개 부성성이 부재하다는 사실에 비춰볼 때, 모성성에 대한 올바른 이해는 이청준 문학을 접근하는데, 유용한 통로가 될 것이다. Fri, 01 Aug 2025 00:00:00 GMT https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/27868 2025-08-01T00:00:00Z https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/28279 Title: Development of a prediction model for progression of rheumatoid arthritis-associated interstitial lung disease using serologic and clinical factors: The prospective KORAIL cohort Authors: Chang, Sung Hae; Paudel, Misti L.; Mcdermott, Gregory C.; Zhang, Qianru; Fukui, Sho; Kim, Minuk; Ha, You-Jung; Lee, Jeong Seok; Lee, Sung Won; Park, Chan Ho; Kim, Ji-Won; Ha, Jang Woo; Chung, Sang Wan; Ha Kang, Eun; Lee, Yeon-Ah; Park, Yong-Beom; Choe, Jung-Yoon; Lee, Eun Young; Sparks, Jeffrey A. Abstract: Objective: To develop a prediction model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) progression. Methods: We investigated predictors of RA-ILD progression in the Korean RA-ILD (KORAIL) cohort, a prospective study that enrolled patients with RA meeting ACR/EULAR criteria and ILD on chest computed tomography (CT) scans and followed for 3 years. Pulmonary function tests (PFTs) and chest CT scans were conducted annually. RAILD progression was defined as both physiological and radiological worsening, adapted from the 2023 ATS/ERS/ JRS/ALAT definition of progressive pulmonary fibrosis. Baseline factors included clinical factors and biomarkers (autoantibodies, inflammatory markers, and pulmonary damage markers). Results: We analyzed 138 RA-ILD patients (mean age 66.4 years, 30.4 % male, 60.1 % usual interstitial pneumonia [UIP] pattern). During a median follow-up of 2.9 years, 34.8 % (n = 48) had RA-ILD progression. Baseline associations with progression included: UIP pattern, ILD extent >10 %, DLCO %pred., anti-cyclic citrullinated peptide (anti-CCP), Krebs von den Lungen-6 (KL-6), and human surfactant protein D. We developed prediction models using UIP pattern, ILD extent, DLCO % pred., and anti-CCP titer with or without serum KL-6 levels. The models had areas under the curve (AUCs) of 0.73 and 0.75, respectively. The high-risk group had a positive predictive value for progression of 85.7 %, while the low-risk group had a negative predictive value of 94.7 %. Conclusion: In this prospective cohort, UIP pattern, ILD extent, lower DLCO, RA disease activity, anti-CCP levels, and pulmonary damage biomarkers were associated with RA-ILD progression. We developed prediction models that may be clinically useful to risk stratify once externally validated. Fri, 01 Aug 2025 00:00:00 GMT https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/28279 2025-08-01T00:00:00Z