A5063734570- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Ferroptosis and cancer prognosis
- Topic Modeling
- Chronic Myeloid Leukemia Treatments
- Gastric Cancer Management and Outcomes
- Immune Cell Function and Interaction
- Second Language Acquisition and Learning
- Lung Cancer Treatments and Mutations
- Advanced Image and Video Retrieval Techniques
- EFL/ESL Teaching and Learning
- Online and Blended Learning
- Innovations in Medical Education
- Cancer Treatment and Pharmacology
- Problem and Project Based Learning
- Synthesis of Tetrazole Derivatives
- Quantum Computing Algorithms and Architecture
- Medical Research and Treatments
- SARS-CoV-2 detection and testing
- Dielectric materials and actuators
- Caching and Content Delivery
- Multi-Agent Systems and Negotiation
- Microwave Dielectric Ceramics Synthesis
- Advanced Algorithms and Applications
- Patient Safety and Medication Errors
Army Medical University
2025
The Affiliated Yongchuan Hospital of Chongqing Medical University
2020-2025
Chongqing Medical University
2020-2025
Jinan University
2024
Central People's Hospital of Zhanjiang
2024
Guangdong Medical College
2024
Hubei Cancer Hospital
2024
Huazhong University of Science and Technology
2024
China United Network Communications Group (China)
2022-2024
Stanford University
2024
Top-k recommendation is a fundamental task in systems that generally learned by comparing positive and negative pairs. The contrastive loss (CL) the key learning has recently received more attention, we find it well suited for top-k recommendations. However, CL problematic because treats importance of samples same. On one hand, faces imbalance problem sample many samples. other there are so few items sparser datasets their should be emphasized. Moreover, important issue sparse still not...
The traditional support vector machine (SVM) often has an over-fitting problem when outliers exit in the training data set. Fuzzy (FSVM) provides effective approach to deal with problem. It can reduce effects of by fuzzy membership functions. Choosing a proper is very important. In this paper, new function proposed solving classification problems for FSVM. We define it not only basing on distance between each point and center class, but also affinity among samples which be defined K nearest...
Sequential recommendation mines the user's interaction sequence or time information to get better recommendations and thus is gaining more attention. Existing sequential tend build new models, study of loss function seriously neglected. Despite increasing attention paid contrastive learning recently, we believe that key loss(CL), which also provides a option for recommendation. However, find it works against personalized representation features. First, relative constraint keeps positive...
Processability Theory (PT) believes that L2 learner can not understand and produce those linguistic forms which are beyond the current stage of language processor (Pienemann, 2007). Based on understanding architecture how is acquired under it, teachers only better predict learners' developmental stages, explain acquiring variations, but also indicate some constructive objective guidelines for teaching. So this study adopts hierarchy processing procedures applied to English 1998) as...
Exenatide(EXE) is an anti-hyperglycemic agent approved for treating type 2 diabetes by the Food and Drug Administration(FDA). However, twice-daily injection of exenatide inconvenient most patients.In this study, biotinylated trimethylated chitosan(Bio-TMC) based nanoparticles were proposed to promote oral absorption exenatide. Realizing administration very important alleviate patient suffering improve compliance.Bio-TMC was synthesized, chemical structure characterized Fourier transform...
Abstract Background General practitioners (GPs) in China are playing an increasingly important role geriatric care. In the context of GP training geriatrics, current study sought to explore perception local trainers regarding how can better serve purpose healthy ageing promotion. Methods this convergent mixed-methods design study, a convenience sample senior were enrolled Train-the-Trainer (TTT) course Guangzhou China. A series lectures was conducted and followed by individual surveys via...
1590 Background: In the U.S., locoregional surgery for de novo mBC was common in 1990s and 2000s, but subsequent prospective data did not show a survival advantage. Current guidelines recommend only symptom control. We investigated trends use of (lumpectomy or mastectomy) from 2010 to 2019 using SEER institutional data, aiming identify factors that correlate with variability use. Methods: included all diagnoses SEER-17 2010-2019. The primary outcome receipt surgery, we year diagnosis,...
Chinese poetry has rich cultural connotations and plays a role in moral cultivation education, struggle spirit patriotism education. However, at present, the of values among college students through still faces challenges such as limited dissemination university classrooms, insufficient campus atmosphere, social practice activities, weakening online trends. To cultivate culture, it is necessary to optimize classroom teaching, construct educational carriers, shape "campus culture", enrich...
Objective: To explore the application effect of problem-based learning (PBL) teaching in standardized training, which is designed to train professional degree graduate students hepatobiliary surgery. Methods: A total 60 with degrees admitted our hospital for surgery 2017-2018 were selected as research objects. The trainees randomly divided into group and lecture-based (LBL) group, training effects two groups observed at same time. Results: After completed, compared LBL PBL students’ final...
The top-k recommendation is a fundamental task in systems which generally learned by comparing positive and negative pairs. Contrastive Loss (CL) the key contrastive learning that has received more attention recently we find it well suited for recommendations. However, problem CL treats importance of samples as same. On one hand, faces imbalance sample many samples. other items are so few sparser datasets their should be emphasized. Moreover, important issue sparse still not sufficiently...