A5066147862- Gastric Cancer Management and Outcomes
- Dental Health and Care Utilization
- Dysphagia Assessment and Management
- Gastrointestinal Tumor Research and Treatment
- Dental Implant Techniques and Outcomes
- Metastasis and carcinoma case studies
- Nutrition and Health in Aging
- Dental materials and restorations
- Quantum and electron transport phenomena
- Dental Radiography and Imaging
- Orthodontics and Dentofacial Orthopedics
- Temporomandibular Joint Disorders
- Head and Neck Cancer Studies
- Computational Drug Discovery Methods
- Obstructive Sleep Apnea Research
- Context-Aware Activity Recognition Systems
- Machine Learning in Materials Science
- Spectroscopy and Quantum Chemical Studies
- Laser-Matter Interactions and Applications
- Semiconductor Quantum Structures and Devices
- Food Security and Health in Diverse Populations
- Cold Atom Physics and Bose-Einstein Condensates
- Patient-Provider Communication in Healthcare
- Infectious Diseases and Mycology
- Patient Satisfaction in Healthcare
Kaohsiung Medical University
2011-2024
Kaohsiung Medical University Chung-Ho Memorial Hospital
2007-2024
Kaohsiung Municipal Hsiao-Kang Hospital
2009-2024
Chunghwa Telecom (Taiwan)
2016-2023
National Taiwan University
2007-2023
Taipei Institute of Pathology
2022
National Tsing Hua University
2017-2021
MediaTek (China)
2019
National Yang Ming Chiao Tung University
2007-2018
Cheng Hsin General Hospital
2017
Drug discovery and development is a time-consuming cost-intensive process. Computer-aided drug design can speed up the timeline reduce costs by decreasing number of necessary biochemical experiments. The studies using quantum computing to solve problems in has been increasing recent years. In this review, we briefly introduce main steps how computers help find potential candidates. Recent based on structure target proteins are listed chronologically. They include protein prediction,...
Background Minimally invasive surgery, including laparoscopic and robotic gastrectomy, has become more popular in the treatment of gastric cancer. However, few studies have compared learning curves between gastrectomy for Methods Data were prospectively collected July 2008 Aug 2014. A total 145 patients underwent minimally cancer by a single surgeon, 73 72 gastrectomies. The clinicopathologic characteristics, operative outcomes two groups. Results Compared with group, group was associated...
This paper presents a real-time motion planning and control design of robotic arm for human-robot collaborative safety. A novel collision-free method is proposed not only to keep robot body from colliding with objects but also preserve the execution robot's original task under Cartesian constraint environment. Multiple KinectV2 depth cameras are utilized model track dynamic obstacles (e.g. Humans objects) inside workspace. Depth images applied generate point cloud segmented in K-nearest...
We propose an intuitive and computationally simple algorithm for clustering the probability density functions (pdfs). A data-driven learning mechanism is incorporated in order to determine suitable widths of clusters. The results prove that proposed able automatically group pdfs provide optimal cluster number without any a priori information. performance study also shows more efficient than existing ones. In addition, can serve as intermediate compression tool content-based multimedia...
The impact of poor oral health on older adults' quality life is a public problem. In this study, the mediating effects dental status, occlusal condition, dysphagia, and masticatory performance association between xerostomia health-related (OHRQoL) were assessed in adult population.Stratified cluster sampling was used to recruit 1076 community-dwelling adults aged 65 years from Kaohsiung, Taiwan. Community care centers randomly selected according their geographic classifications (urban,...
We present a smart kitchen that can enhance the traditional meal preparation and cooking process by raising awareness of nutrition facts in food ingredients go into meal. The goal is to promote healthy cooking. Our augmented with sensors detect activities provides digital feedbacks users about nutritional information on used ingredients. have created preliminary prototype for evaluation, result promising.
Lymph node metastasis (LNM) in gastric cancer is associated with higher rate of recurrence and poor prognosis. As a result, reliable biomarker for the prediction LNM important would be valuable clinical practice. MiRNA microarray revealed that ten miRNAs were expressed significantly different among patients or without LNM. A total 46 enrolled divided into two groups (23 each group) according to presence absence RT-PCR these 10 was investigated compared between groups. MiR-1207-5p upregulated...
Abstract Aqueous solubility is the key property driving many chemical and biological phenomena impacts experimental computational attempts to assess those phenomena. Accurate prediction of essential challenging, even with modern algorithms. Fingerprint-based, feature-based molecular graph-based representations have all been used different deep learning methods for aqueous prediction. It has clearly demonstrated that impact model explainability. In this work, we reviewed also focused on using...
The paper discusses a kitchen that intelligently senses cooking activities and provides realtime nutritional information helps facilitate healthy by letting family cooks make informed decisions. It creates opportunities to embed pervasive computing in smart cooking.
Mechanical loading is known to be important for maintaining the formation and resorption rates of bone. To study mechanisms by which mechanical regulates osteogenesis, we investigated role Wnt pathway in C2C12 cells committed osteogenic differentiation response cyclic stretching. Osteoprotegerin (OPG) acts as a decoy receptor RANKL inhibit osteoclastogenesis Our results demonstrate that stretching leads sustained increase OPG expression cells. The marker genes, such osteocalcin alkaline...