A5017744532- Healthcare and Venom Research
- Diverse Approaches in Healthcare and Education Studies
- Traditional Chinese Medicine Studies
- Health and Wellbeing Research
- Food Quality and Safety Studies
- Education, Safety, and Science Studies
- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Engineering Applied Research
- Educational Research and Pedagogy
- Osteoarthritis Treatment and Mechanisms
- AI in Service Interactions
- Time Series Analysis and Forecasting
- Technology Use by Older Adults
- Air Traffic Management and Optimization
- Peripheral Nerve Disorders
- Cardiovascular Disease and Adiposity
- Machine Learning in Materials Science
- Information Architecture and Usability
- Aviation Industry Analysis and Trends
- Mobile Health and mHealth Applications
- Caching and Content Delivery
- Nutrition, Health and Food Behavior
- Scoliosis diagnosis and treatment
- Pain Mechanisms and Treatments
Yonsei University
2004-2023
Kyung Hee University
2022
Inha University Hospital
2015
Daejeon University
2007
Collaborative filtering is one of the most fundamental topics for recommender systems. Various methods have been proposed collaborative filtering, ranging from matrix factorization to graph convolutional methods. Being inspired by recent successes filtering-based and score-based generative models (SGMs), we present a novel concept blurring-sharpening process model (BSPM). SGMs BSPMs share same processing philosophy that new information can be discovered (e.g., images are generated in case...
Abstract With the rapid development of Internet, many types websites have been developed. This variety makes it necessary to adopt systemized evaluation criteria with a strong theoretical basis. study proposes set derived from an architectural perspective which has used for over 1000 years in buildings. The six are internal reliability and external security structural robustness, useful content usable navigation functional utility, system interface communication aesthetic appeal. impacts on...
Objectives : This study was conducted to classify the TA(traffic accident) patients who admissed in Oriental Medical Hospital. Methods We divided TA Hospital by age, sex, visited period after onset, impact region, disease, and chief complaint according a patient classification table, analyzed their characteristics. Results Conclusion The within 1 week numbered most(65.4%) period. Most region neck(80%). of were suffered treated cervical(80%) lumbar(56.9%) sprain.
Graph neural networks (GNNs) are one of the most popular research topics for deep learning. GNN methods typically have been designed on top graph signal processing theory. In particular, diffusion equations widely used designing core layer GNNs, and therefore they inevitably vulnerable to notorious oversmoothing problem. Recently, a couple papers paid attention reaction in conjunctions with equations. However, all consider limited forms To this end, we present reaction-diffusion...
Objectives : The purpose of this report is to examine the effects direct moxibustion on Low back pain and Lowerlimb radiating pain. Methods patients were hospitalized in Daejeon Univ. Oriental Hospital treated with acupuncture treatment, physical treatment moxibustion. After treatments, we measured Results & Conclusions VAS(Visual Analogue Scale) PRS(Pain Rating Scale). scores improved 3 cases So it suggested that moxibution have possibility treat sciatica.
Introduction: Left atrial (LA) structure and function are associated with future cardiovascular (CV) events risk factors. Studying the longitudinal change of LA age may provide important insights into natural history remodeling. Hypothesis: The aim this study is to evaluate associations between gender changes in remodeling a large multi-ethnic cohort free clinical CV disease at baseline. Methods: Cardiac magnetic resonance (CMR) was used identify 2882 MESA participants who underwent baseline...
This paper proposes a novel assist system for customer service representatives based on natural language processing (NLP). In the proposed system, an NLP model calculates relationships between question from and all questions in given FAQ list. Based model’s calculation, will recommend several FAQs that are more similar to customer’s than others list then representative responses, whether recommended actually or not. Since these responses become data next training, accuracy can be...
Recommender systems are a long-standing research problem in data mining and machine learning. They incremental nature, as new user-item interaction logs arrive. In real-world applications, we need to periodically train collaborative filtering algorithm extract user/item embedding vectors therefore, time-series of can be naturally defined. We present forecasting-based upgrade kit (TimeKit), which works the following way: it i) first decides base algorithm, ii) extracts with from...
Collaborative filtering is one of the most fundamental topics for recommender systems. Various methods have been proposed collaborative filtering, ranging from matrix factorization to graph convolutional methods. Being inspired by recent successes filtering-based and score-based generative models (SGMs), we present a novel concept blurring-sharpening process model (BSPM). SGMs BSPMs share same processing philosophy that new information can be discovered (e.g., images are generated in case...
본 연구는 자신이 어떤 존재이고 삶에 가치를 어디에 두며 상황과 환경을 어떻게 인식·해석·판단할 것인지 결정하는 세계관(Sire, 2004/2007)에 기초해 부모가 자녀를 양육하는 본질적 의미가 무엇인지 고찰하는 데 목적을 둔다. 이를 위해 무신론과 상대성을 추구하는 인본주의적 세계관에 기초한 ‘자기중심적인 자녀 양육’과 유일신과 절대성을 인정하는 성경적 ‘하나님 중심적인 양육’의 의미와 특성, 부모의 양육에 미치는 영향이 각각 살펴보고 비교·분석하였다. 그 결과, 절대자의 불변하는 말씀을 기준으로 삼는다는 대명제 아래 하나님의 형상대로 지음 받은 피조물(창1:27)로서 존재론적 정체성을 형성하고 개인의 성장과 성숙, 이웃과 사회공동체의 유익을 전인격적 역량을 함양·실천하도록 이끄는 세계관(정희영, 2004)에 양육이 의미를 담아내는데 더 적합하다는 것을 알 수 있었다. 연구를 시작으로 부모들이 실로 양육해야 할지 심도 깊게 고민하고 나아가 근본적으로 세계관의 전환까지...