A5025120215- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Intelligent Tutoring Systems and Adaptive Learning
- Online Learning and Analytics
- Recommender Systems and Techniques
- Topic Modeling
- Smart Grid Energy Management
- Species Distribution and Climate Change
- Venous Thromboembolism Diagnosis and Management
- Electric Power System Optimization
- Electric Vehicles and Infrastructure
- Target Tracking and Data Fusion in Sensor Networks
- Educational Technology and Assessment
- Heparin-Induced Thrombocytopenia and Thrombosis
- Advanced Graph Neural Networks
- Advanced Neural Network Applications
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Advanced Battery Technologies Research
- Blood Coagulation and Thrombosis Mechanisms
- Image Enhancement Techniques
- Underwater Vehicles and Communication Systems
- Underwater Acoustics Research
- Cardiac and Coronary Surgery Techniques
Affiliated Hospital of Jining Medical University
2025
Shaoxing University
2014-2024
Regend Therapeutics (China)
2024
Anhui University
2020-2024
Gansu Meteorological Bureau
2024
Hefei Institutes of Physical Science
2023
First Affiliated Hospital of Xinjiang Medical University
2011-2022
Xinjiang Medical University
2011-2022
Zhejiang University of Technology
2017
State Key Laboratory of Industrial Control Technology
2017
Adaptive learning, also known as adaptive teaching, relies on learning path recommendation, which sequentially recommends personalized items (e.g., lectures, exercises) to satisfy the unique needs of each learner. Although it is well that modeling cognitive structure including knowledge level learners and prerequisite relations) important for existing methods often separately focus either levels or items. To fully exploit multifaceted we propose a Cognitive Structure Enhanced framework...
With the development of online education systems, a growing number research works are focusing on Knowledge Tracing (KT), which aims to assess students' changing knowledge state and help them learn concepts more efficiently. However, only given student learning interactions, most existing KT methods neglect individualization students, i.e., prior rates differ from student. To this end, in paper, we propose novel Convolutional (CKT) method model KT. Specifically, for individualized knowledge,...
The rapid development of the technologies for online learning provides students with extensive resources self-learning and brings new opportunities data-driven research on educational management. An important issue is to diagnose knowledge proficiency (i.e., mastery level a certain concept) each student. Considering that it common case inevitably learn forget from time time, necessary track change their during process. Existing approaches either relied static scenarios or ignored...
Knowledge Tracing (KT) is a fundamental but challenging task in online education that traces learners' evolving knowledge states. Much attention has been drawn to this area and several works such as Bayesian Deep are proposed. Recent have explored the value of relations among concepts proposed introduce structure into KT task. However, propagated influence concepts, which shown be key factor human learning by educational theories, still under-explored. In paper, we propose new framework...
Mobile recommender systems target on recommending the right product or information to mobile users at anytime and anywhere. It is well known that contextual often key for performances of recommendations. Therefore, in this paper, we provide a focused survey recent development context-aware After briefly reviewing state-of-the-art systems, first discuss general notion context how collected. Then, introduce existing approaches exploit modeling Furthermore, summarize several recommendation...
Cognitive diagnosis is the cornerstone of modern educational techniques. One most classic cognitive methods Item Response Theory (IRT), which provides interpretable parameters for analyzing student performance. However, traditional IRT only exploits response results and has difficulties in fully utilizing semantics question texts, significantly restricts its application. To this end, paper, we propose a simple yet surprisingly effective framework to enhance semantic exploiting process,...
Computerized Adaptive Testing (CAT) refers to an efficient and personalized test mode in online education, aiming accurately measure student proficiency level on the required subject/domain. The key component of CAT is "adaptive" question selection algorithm, which automatically selects best suited for based his/her current estimated proficiency, reducing length. Existing algorithms rely some manually designed pre-fixed informativeness/uncertainty metrics selections, labor-intensive not...
Importance Older patients may benefit from the hemodynamic stability of etomidate for general anesthesia. However, it remains uncertain whether potential adrenocortical suppression with increase morbidity. Objective To test primary hypothesis that vs propofol anesthesia does not in-hospital morbidity after abdominal surgery in older patients. Design, Setting, and Participants This multicenter, parallel-group, noninferiority randomized clinical trial (Etomidate Propofol In-hospital...
Objective Acute pancreatitis (AP) is an acute inflammatory disease that can lead to multiple system dysfunction, including kidney injury (AKI). AKI occurs in 10%-42% of AP patients, and studies have shown early (48 hours) associated (AP-AKI) increases the risk death pancreatitis. Anion gap (AG) a common index clinical evaluation acid-base imbalance important critically ill patients. The aim this study was investigate relationship between baseline anion values patients with intensive care...
Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-based optimization (BBO) are proposed. BBO is an original method based on mathematical model organism distribution in biological systems. evolutionary process that achieves information sharing species migration. This paper generalizes equilibrium count biogeography theory, discusses models BBO, and investigates performance through benchmark functions. The study shows most effect scheme for it a promising...
Discovering similar users with respect to their habits plays an important role in a wide range of applications, such as collaborative filtering for recommendation, user segmentation market analysis, etc. Recently, the progressing ability sense contexts smart mobile devices makes it possible discover by mining from devices. However, though some researchers have proposed effective methods behavior pattern mining, how leverage mined results discovering remains less explored. To this end, we...