• BMB Reports
• /
• 제49권6호
• /
• pp.337-343
• /
• 2016

Understanding of trafficking, processing, and degradation mechanisms of amyloid precursor protein (APP) is important because APP can be processed to produce β-amyloid (Aβ), a key pathogenic molecule in Alzheimer's disease (AD). Here, we found that APP contains KFERQ motif at its C-terminus, a consensus sequence for chaperone-mediated autophagy (CMA) or microautophagy which are another types of autophagy for degradation of pathogenic molecules in neurodegenerative diseases. Deletion of KFERQ in APP increased C-terminal fragments (CTFs) and secreted N-terminal fragments of APP and kept it away from lysosomes. KFERQ deletion did not abolish the interaction of APP or its cleaved products with heat shock cognate protein 70 (Hsc70), a protein necessary for CMA or microautophagy. These findings suggest that KFERQ motif is important for normal processing and degradation of APP to preclude the accumulation of APP-CTFs although it may not be important for CMA or microautophagy.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2012년도 추계학술발표대회
• /
• pp.278-279
• /
• 2012

본 논문에선 개방형 모바일 클라우드 서비스를 위한 Home App과 Repository App을 OMC Home App 생성 마법사를 통해 쉽고 효율적이고 사용자 기호에 맞게 개발할 수 있는 Home App Template과 Repository App Template을 제안한다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제27권2호
• /
• pp.1-28
• /
• 2018

Purpose More than 7.6 million mobile apps could be approved on both Apple iTunes Store and Google Play. For managing those existed Apps, Apple Inc. established twenty-four primary categories, as well as Google Play had thirty-three primary categories. However, all of their categorizations have appeared more and more problems in managing and classifying numerous apps, such as app miscategorized, cross-attribution problems, lack of categorization keywords index, etc. The purpose of this study focused on introducing individual information cognitive processing as the classification criteria to update the current categorization on Apple iTunes Store. Meanwhile, we tried to observe the effectiveness of the new criteria from a classification process on Apple iTunes Store. Design/Methodology/Approach A research approach with four research stages were performed and a series of mixed methods was developed to identify the feasibility of adopting individual information cognitive processing as categorization criteria. By using machine-learning techniques with Term Frequency-Inverse Document Frequency and Singular Value Decomposition, keyword lists were extracted. By using the prior research results related to car app's categorization, we developed individual information cognitive processing. Further keywords extracting process from the extracted keyword lists was performed. Findings By TF-IDF and SVD, keyword lists from more than five thousand apps were extracted. Furthermore, we developed individual information cognitive processing that included a categorization teaching process and learning process. Three top three keywords for each category were extracted. By comparing the extracted results with prior studies, the inter-rater reliability for two different methods shows significant reliable, which proved the individual information cognitive processing to be reliable as criteria of categorization on Apple iTunes Store. The updating suggestions for Apple iTunes Store were discussed in this paper and the results of this paper may be useful for app store hosts to improve the current categorizations on app stores as well as increasing the efficiency of app discovering and locating process for both app developers and users.

• Molecules and Cells
• /
• 제42권1호
• /
• pp.36-44
• /
• 2019

Alzheimer's disease (AD) is the most frequent age-related human neurological disorder. The characteristics of AD include senile plaques, neurofibrillary tangles, and loss of synapses and neurons in the brain. ${\beta}-Amyloid$ ($A{\beta}$) peptide is the predominant proteinaceous component of senile plaques. The amyloid hypothesis states that $A{\beta}$ initiates the cascade of events that result in AD. Amyloid precursor protein (APP) processing plays an important role in $A{\beta}$ production, which initiates synaptic and neuronal damage. ${\delta}-Catenin$ is known to be bound to presenilin-1 (PS-1), which is the main component of the ${\gamma}-secretase$ complex that regulates APP cleavage. Because PS-1 interacts with both APP and ${\delta}-catenin$, it is worth studying their interactive mechanism and/or effects on each other. Our immunoprecipitation data showed that there was no physical association between ${\delta}-catenin$ and APP. However, we observed that ${\delta}-catenin$ could reduce the binding between PS-1 and APP, thus decreasing the PS-1 mediated APP processing activity. Furthermore, ${\delta}-catenin$ reduced PS-1-mediated stabilization of APP. The results suggest that ${\delta}-catenin$ can influence the APP processing and its level by interacting with PS-1, which may eventually play a protective role in the degeneration of an Alzheimer's disease patient.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2015년도 추계학술발표대회
• /
• pp.1042-1044
• /
• 2015

나날이 향상되고 있는 디바이스 성능과 기능에 따라 사용자가 활용할 수 있는 App의 수가 증가하고 있다. 이로 인해 사용자 입장에서 유지 및 관리해야 하는 App이 점차 많아지고 있지만 사용자의 편의성을 위해 효율적으로 분류하기 위한 연구는 많지 않다. 본 논문에서는 App을 좀 더 효율적으로 관리하기 위한 분류 방법을 제안한다.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2012년도 춘계학술발표대회
• /
• pp.1223-1225
• /
• 2012

현재 앱과 모바일 콘텐츠 개발이 활발해지고 있으며, 이에 따르는 기술들이 새로이 개발됨에 따라 다양한 도구들도 함께 등장하고 있다. 이러한 가운데 앱을 쉽게 개발할 수 있는 도구로는 Htrnl5, App Inventor, M-Biz Naker 가 있다. 따라서 이와 같은 도구들의 장단점을 살펴봄으로써, 향후 앱 개발 시장에 미칠 영향을 분석해보도록 한다.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2008년도 추계학술발표대회
• /
• pp.288-291
• /
• 2008

전세계 인터넷 사용자 수가 약 12억 6천 만명에 이르며 2012년에는 17억명 이상이 인터넷을 사용할 것이라고 추정되는 가운데 웹 데이터베이스 응용에 대한 수요가 비즈니스를 포함하는 모든 분야에서 급속히 증가되고 있다. [1] 그러나 급증하는 수요에 비해 웹 응용의 생성 및 유지·보수는 대부분 수작업에 의존하기 때문에 많은 시간과 노력이 소요되고 있다. 본 논문에서 소개하는 WebAppGen은 ScriptGen과 InteraceGen으로 구성된 웹 응용 자동 생성기로서 웹 응용을 전자동으로 생성해 생산성을 향상시킨다. ScriptGen은 웹 응용에 필요한 폼들과 이 폼들을 통해 이루어지는 질의에 대해 데이터베이스와 연동하여 처리하는 웹 스크립트들을 자동생성하고 InterfaceGen은 ScriptGen을 통해 생성된 폼들을 엮어 접근하기 쉬운 트리 형태의 인터페이스를 제공한다. 상용 웹 응용 생성기들과 달리, WebAppGen은 웹 응용의 전 과정을 자동화 시킴으로써 생산성을 한 단계 더 향상시키고, 생성된 응용은 직관적인 계층구조를 가지는 트리 형태의 인터페이스를 지원한다. WebAppGen이 생성한 응용에서, 한 개의 폼은 관심의 대상인 엔티티 외에 이 엔티티와 직·간접적으로 연관된 모든 엔티티들에 대한 정보를 표현한다. 또한, WebAppGen은 생성될 응용의 기본 틀인 템플릿을 기반으로 하기 때문에 생성된 응용 및 WebAppGen 자체의 유지·보수를 용이하게 한다.

• The Korean Journal of Physiology and Pharmacology
• /
• 제17권3호
• /
• pp.189-195
• /
• 2013

Amyloid-${\beta}$ peptide ($A{\beta}$), generated by proteolytic cleavage of the amyloid precursor protein (APP), plays a pivotal role in the pathogenesis of Alzheimer's disease (AD). The key step in the generation of $A{\beta}$ is cleavage of APP by beta-site APP-cleaving enzyme 1 (BACE1). Levels of BACE1 are increased in vulnerable regions of the AD brain, but the underlying mechanism is unknown. In the present study, we reported the effects of ferrous ions at subtoxic concentrations on the mRNA levels of BACE1 and a-disintegrin-and-metalloproteinase 10 (ADAM10) in PC12 cells and the cell responses to ferrous ions. The cell survival in PC12 cells significantly decreased with 0 to 0.3 mM $FeCl_2$, with 0.6 mM $FeCl_2$ treatment resulting in significant reductions by about 75%. 4,6-diamidino-2-phenylindole (DAPI) staining showed that the nuclei appeared fragmented in 0.2 and 0.3 mM $FeCl_2$. APP-${\alpha}$-carboxyl terminal fragment (APP-${\alpha}$-CTF) associations with ADAM10 and APP-${\beta}$-CTF with BACE1 were increased. Levels of ADAM10 and BACE1 mRNA increased in response to the concentrations of 0.25 mM, respectively. In addition, p-ERK and p-Bad (S112, S155) expressions were increased, suggesting that APP-CTF formation is related to ADAM10/ BACE1 expression. Levels of Bcl-2 protein were increased, but significant changes were not observed in the expression of Bax. These data suggest that ion-induced enhanced expression of AMDA10/BACE1 could be one of the causes for APP-${\alpha}/{\beta}$-CTF activation.

• 한국IT서비스학회지
• /
• 제13권4호
• /
• pp.397-410
• /
• 2014

For mobile service organizations, it is one of the most important tasks to reflect users' opinions rapidly and accurately. In this study, the process is defined to elicit requirements of software/system improvement for mobile application by extracting and refining from users' opinion in mobile app, and detailed activities procession method in this processing are also proposed. The process consists of 3 activities to get requirements of software/system improvement for mobile app. First activity is to transform mobile app to software structure and define term dictionary. Second activity is to elicit simple sentences based on software from users' opinion and refine them. The last activity is to integrate and adjust refined requirements. To verify the usability and validity of the proposed process and the methods, the outputs of manual processing and semi-automated processing were compared. As a result, efficiency and improvement possibility of the process were confirmed through extraction ratio of requirements, comparison of execution time, and analysis of agreement ratio.

• 한국컴퓨터정보학회논문지
• /
• 제26권6호
• /
• pp.107-113
• /
• 2021

본 논문에서는 안드로이드 앱 설명이 애플리케이션 품질 측정에 충분한 권한 사용을 제공하는 지에 대해 연구하였다. 안드로이드 애플리케이션 설명은 품질측정, 기능추천(functionality recommendation), 말웨어감지와 같은 다양한 목적으로 분석된다. 그러나 많은 앱들이 설명에서 실수 혹은 고의로 권한 사용을 공개하지 않는다. 이전 연구에서는 가장 중요한 것은 애플리케이션 설명에서 권한 사용에 대한 내용이 없거나 부족하면 애플리케이션 설명을 정확하게 분석할 수 없었다. 권한과 앱 설명 간의 일관성을 평가하기 위해 29,270개의 애플리케이션 설명에 대한 안드로이드 권한을 예측하는 방법을 구현했다. 결과로 앱 설명의 25%는 권한에 대한 의미를 포함하지 않았으며 앱 설명의 57%는 권한 사용에 대한 내용을 정확하게 반영 할 수 없다.