A5044938518- Crystallization and Solubility Studies
- Machine Fault Diagnosis Techniques
- X-ray Diffraction in Crystallography
- Simulation and Modeling Applications
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Advanced Battery Technologies Research
- Remote-Sensing Image Classification
- Gear and Bearing Dynamics Analysis
- Industrial Technology and Control Systems
- Advanced Fiber Laser Technologies
- Photonic Crystal and Fiber Optics
- Advanced Sensor and Control Systems
- Hydraulic and Pneumatic Systems
- Optical Network Technologies
- Engineering Diagnostics and Reliability
- Structural Load-Bearing Analysis
- Laser-Matter Interactions and Applications
- Advanced Computational Techniques and Applications
- Transportation Planning and Optimization
- Structural Behavior of Reinforced Concrete
- Evaluation and Optimization Models
- Power Systems and Technologies
- Advancements in Battery Materials
- Advanced Measurement and Detection Methods
University of Science and Technology Beijing
2011-2025
Third Affiliated Hospital of Guangzhou Medical University
2025
Guangzhou Medical University
2025
Xian Center for Disease Control and Prevention
2025
Qingdao University of Technology
2024
Shanghai Skin Disease Hospital
2024
Tongji University
2007-2024
Guangdong Baiyun University
2024
Tsinghua University
2008-2024
Guangxi University
2024
Lithium-ion batteries (LIBs) are widely used in many fields, such as electric vehicles and energy storage, directly impact the device performance safety. Therefore, state of health (SOH) assessment is critical for LIB usage. However, most existing data-driven SOH modeling methods overlook inherent uncertainty battery prediction, which decreases reliability model. To address this issue, paper proposes a novel model based on deep learning framework. The results derived from quantile...
Type I photosensitizers (PSs) with an aggregation-induced emission (AIE) feature have received sustained attention for their excellent theranostic performance in the treatment of clinical diseases. However, development AIE-active type PSs strong reactive oxygen species (ROS) production capacity remains a challenge due to lack in-depth theoretical studies on aggregate behavior and rational design strategies. Herein, we proposed facile oxidization strategy enhance ROS generation efficiency...
A fast and effective fault diagnosis system is crucial for ensuring complex mechanical equipment's safe reliable operation. Deep learning has shown promising prospects in applications, but existing algorithms have limitations frequency analysis long-time sequence feature encoding, which greatly restricts the practical application of deep models field. This paper proposes a Transformer framework based on Fast Fourier Transform (FFT), called FFT-Trans, to overcome these limitations. FFT-Trans...
Semantic segmentation of urban remote sensing images is a highly challenging task. Due to the complex background, occlusion overlap, and small-scale targets in images, semantic results suffer from deficiencies such as similar target confusion, blurred boundaries, omission. To solve above problems, local-global feature capture boundary information refinement Swin Transformer segmentor (LGBSwin) proposed. First, dual linear attention module (DLAM) utilizes spatial channel mechanisms for...
Depression represents a significant mental health challenge among university students. Previous studies have revealed relationship between benevolent childhood experiences (BCEs) and depression, but the roles of family relationships sleep quality in mediating link BCEs depression remain unclear. This study constructed serial model to examine whether mediated Chinese A total 1830 students from 25 universities three provinces China got recruited this study. The assessment utilized Benevolent...
Numerous clinical studies have investigated the association between schizophrenia and psoriasis, but findings remain inconsistent. We employed Mendelian randomization (MR) methods to evaluate causal relationship psoriasis its subtypes. Inverse variance weighting was used as primary approach for MR analysis, complemented by inverse magnetic resonance analysis sensitivity testing. To identify potential mediators, we applied a two-step approach. Additionally, pathway functional enrichment...
Based on data from Chinese publicly traded companies, this study looks into how the diversity of Top Management Team (TMT) affects long-term performance a company, including its economic benefits and environmental, social, governance performance. Using fixed-effects panel model to do empirical research shows that TMT heterogeneity has big positive impact businesses. Digitalization plays competitive role in passing effect heterogeneity. The moderation analysis level internationalization...
A novel manganese-crosslinking sodium alginate modified biochar and zerovalent iron composite (Mn/SA-BC@nZVI) was prepared for the simultaneous removal of arsenite (As( iii )) cadmium (Cd( ii from contaminated water.
Abstract Extreme wave events or rogue waves (RWs) are both statistically rare and of exceptionally large amplitude. They observed in many complex systems ranging from oceanic optical environments to financial models Bose–Einstein condensates. As they appear nowhere disappear without a trace, their emergence is unpredictable non‐repetitive, which makes them particularly challenging control. Here, the use genetic algorithms (GAs), exclusively designed for searching optimizing stationary...
Due to the complex transfer paths of vibration signals, and a large number excitations, fault diagnosis reciprocating compressors (RCs) has become one most challenging problems in field health monitoring. Focusing on diagnosis, novel method, which will be referred this paper as mode isolation convolutional deep belief network (MI-CDBN), is proposed from perspective path analysis, multimodal data isolation. First, sparse filtering applied compress signals reduce computing cost. Second,...
The simulation software Simulex was adopted to study the emergency evacuation process of island type subway elevated station and determine "bottleneck" positions. effects positions on personnel crowded degree were studied by changing conditions at Results show that staircases connecting platform ticket hall, are identified as during evacuation, where crowd congestion appears easily. Moreover, stair effective width evaluated combination total time stairway level service, obtain more objective...
Current sharing is a major problem for paralleling devices, which can affect the performance and reliability of devices. In this paper, factors leading to current unbalance in silicon carbide (SiC) MOSFETs are analyzed, especially circuit mismatch. A double pulse test based on SiC MOSFET established testing mismatch including common source stray inductance (Ls), switching loop (Ld) gate driver resistance (Rg). The experimental results verify influences caused by