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Changes of lysosome by L-serine in rotenone-treated hippocampal neurons
Shin Sumin,Su-Kyeong Hwang,Mun Ji Young 한국현미경학회 2023 Applied microscopy Vol.53 No.1
Oxidative stress destroys cellular organelles and damages DNA, eventually leading to degenerative brain disorders. Persistent mitochondrial damage by oxidative stress eventually causes cells to inhibit the function of lysosomes. Rotenone used in this study inhibits complex 1 of the mitochondrial electron transport chain. Due to this inhibition, the production of free radicals is promoted, and oxidative stress can occur. To test as a role of antioxidant, L-serine was treated before treatment of rotenone to HT22 hippocampal cells. Then, changes in the activity and structure of lysosomes were analyzed. As a result, the oxidative stress caused by rotenone in HT22 cells was protected by L-serine. L-serine reduced free radicals in cells, and the damaged lysosomal structure and lysosome activity were also protected.
Sumin Shin,Pyo Won Park,Woo-Sik Han,Ki Ick Sung,Wook Sung Kim,Young Tak Lee 대한흉부외과학회 2011 Journal of Chest Surgery (J Chest Surg) Vol.44 No.6
Left ventricular (LV) hypertrophy caused by aortic valve stenosis (AS) leads to cardiovascular morbidity and mortality. We sought to determine whether aortic valve replacement (AVR) decreases LV mass and improves LV function. Materials and Methods: Retrospective review for 358 consecutive patients, who underwent aortic valve replacement for degenerative AS between January 1995 and December 2008, was performed. There were 230 men and 128 women, and their age at operation was 63.2±10 years (30∼85 years). Results: There was no in-hospital mortality, and mean follow-up duration after discharge was 48.9 months (2∼167 months). Immediate postoperative echocardiography revealed that LV mass index and mean gradient across the aortic valve decreased significantly (p<0.001), and LV mass continued to decrease during the follow-up period (p<0.001). LV ejection fraction (EF) temporarily decreased postoperatively (p<0.001), but LV function recovered immediately and continued to improve with a significant difference between preoperative and postoperative EF (p<0.001). There were 15 late deaths during the follow-up period, and overall survival at 5 and 10 years were 94% and 90%, respectively. On multivariable analysis, age at operation (p=0.008), concomitant coronary bypass surgery (p<0.003), lower preoperative LVEF (<40%) (p=0.0018), and higher EUROScore (>7) (p=0.045) were risk factors for late death. Conclusion: After AVR for degenerative AS, reduction of left ventricular mass and improvement of left ventricular function continue late after operation.
( Sumin Shin ),( Kwanghee Han ) 서울대학교 인지과학연구소 2024 Journal of Cognitive Science Vol.25 No.1
This study investigated how interactions with artificial intelligence (AI) speakers impact users' expectations and satisfaction, with a particular focus on expectation violation (EV)s. The findings revealed that both changes in expectations and satisfaction are influenced by these violations. Specifically, when expectations were exceeded (positive EV), users experienced increased satisfaction, whereas unmet expectations (negative EV) led to disappointment, consistent with previous studies on Expectancy Violation Theory (EVT). Furthermore, our aim was to explore the role of anthropomorphism in shaping users' expectations and their confirmation of AI speakers' functions. As expected, interactions with AI speakers that surpassed expectations and exhibited more human-like traits resulted in the most positive changes in expectations and satisfaction. Conversely, encounters with AI speakers failing to meet expectations and displaying rigid, machine-like behaviors led to the most negative shifts in both metrics. However, irrespective of anthropomorphism levels, both positive and negative EVs consistently influenced changes in expectations and satisfaction within each group. Therefore, it could be argued that meeting or exceeding user expectations is a critical factor for fostering a positive user experience, regardless of the degree of anthropomorphism.
신수민(Sumin Shin),강수진(Soojin Kang),김기윤(Giyoon Kim),김종성(Jongsung Kim) 한국정보보호학회 2020 정보보호학회논문지 Vol.30 No.4
스마트폰의 대중화로 현대인의 의사소통 수단으로 Social Networking Service(SNS)가 자리 잡았다. 의사소통 수단의 특성상 SNS는 다양한 보관 증거 및 생성 증거를 생성한다. 따라서 디지털 포렌식 수사관점에서 주요 분석대상이다. SNS를 제공하는 애플리케이션은 데이터를 중앙 서버에 저장하거나 사용자의 편의성을 위해 데이터베이스화하여 스마트폰 내부에 저장한다. 이때 일부 애플리케이션은 개인정보 보호를 위해 암호화 기능을 제공하며 이는 디지털 포렌식 수사관점에서 안티 포렌식으로 작용될 수 있다. 따라서 암호화 방안에 관한 연구는 지속적으로 선행돼야 한다. 본 논문에서는 SQLCipher 모듈을 통해 SQLite 기반의 데이터베이스 암호화 기능을 제공하는 두 종류의 애플리케이션을 분석했다. 각 데이터베이스를 복호화했으며 주요 데이터를 식별했다. With the popularization of smartphones, Social Networking Service (SNS) has become the means of communication for modern people. Due to the nature of the means of communication, SNS generates a variety of archive and preservation evidence. Therefore, it is a major analysis target in terms of digital forensic investigation. An application that provides SNS stores data in a central server or database in a smartphone inside for user convenience. Some applications provide encryption for privacy, which can be anti-forensic in terms of digital forensic investigation. Therefore, the study of the encryption method should be continuously preceded. In this paper, we analyzed two applications that provide SQLite-based database encryption through SQLCipher module. Each database was decrypted and key data was identified.
Windows에서의 Wire 크리덴셜 획득 및 아티팩트 분석
신수민(Sumin Shin),김소람(Soram Kim),윤병철(Byungchul Youn),김종성(Jongsung Kim) 한국정보보호학회 2021 정보보호학회논문지 Vol.31 No.1
인스턴트 메신저는 현대인의 의사소통 수단으로 스마트폰과 PC 등에서 이용 가능하며, 개별로 사용하거나 연동해서 사용할 수 있다. 메시지, 통화 및 파일 공유 등의 다양한 기능을 제공하는 메신저는 사용자의 행위정보를 포함하므로 포렌식 수사관점에서 중요한 증거로서의 가치를 지닌다. 하지만 스마트폰 데이터는 데이터 추출의 어려움이나 제작자의 보안기술 적용으로 분석의 어려움이 있다. 그러나 스마트폰과 PC 메신저를 연동해 사용하고 있는 경우 스마트폰 대신 PC에서 대화 내용 및 사용자 데이터 획득이 가능하다. 본 논문에서는 Windows 10 환경에서 Wire메신저의 크리덴셜 정보를 획득했으며, 다른 PC에서 인증 과정 없이 로그인 가능함을 보였다. 또한, 사용자 행위를 기반으로 생성되는 주요 아티팩트 선별하고 정리하였다. Instant messengers are a means of communication for modern people and can be used with smartphones and PCs respectively or connected with each other. Messengers, which provide various functions such as message, call, and file sharing, contain user behavior information regarded as important evidence in forensic investigation. However, it is difficult to analyze as well as acquire smartphone data because of the security of smartphones or apps. However, messenger data can be extracted through PC when the messenger is used on PC. In this paper, we obtained the credential data of Wire messenger in Windows 10, and showed that it is possible to log-in from another PC without authentication. In addition, we identified and classified major artifacts generated based on user behavior.