A5108147322- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced Sensor and Energy Harvesting Materials
- Conducting polymers and applications
- Extraction and Separation Processes
- Cancer, Hypoxia, and Metabolism
- RNA modifications and cancer
- Irrigation Practices and Water Management
- Mitochondrial Function and Pathology
- Welding Techniques and Residual Stresses
- Greenhouse Technology and Climate Control
- Pancreatic function and diabetes
- Hydraulic Fracturing and Reservoir Analysis
- Supercapacitor Materials and Fabrication
- Research in Cotton Cultivation
- Advanced Battery Technologies Research
- Carbon and Quantum Dots Applications
- Molten salt chemistry and electrochemical processes
- Parvovirus B19 Infection Studies
- Subcritical and Supercritical Water Processes
- Gut microbiota and health
- Generative Adversarial Networks and Image Synthesis
- Sirtuins and Resveratrol in Medicine
Guilin University of Technology
2024-2025
North China Electric Power University
2024-2025
Chinese PLA General Hospital
2025
Janelia Research Campus
2025
Sichuan University
2003-2024
Shaanxi Provincial People's Hospital
2024
Shanxi Medical University
2024
University of Science and Technology Beijing
2023-2024
Chengdu Design & Research Institute of Building Materials Industry (China)
2024
Sun Yat-sen University
2022-2024
Abstract Alloying‐type antimony (Sb) with high theoretical capacity is a promising anode candidate for both lithium‐ion batteries (LIBs) and sodium‐ion (SIBs). Given the larger radius of Na + (1.02 Å) than Li (0.76 Å), it was generally believed that Sb would experience even worse degradation in SIBs due to more substantial volumetric variations during cycling when compared LIBs. However, unexpectedly exhibited better electrochemical structural stability LIBs, mechanistic reasons underlie...
Abstract Micro‐sized bismuth (Bi) is recognized for its high volumetric capacity and suitable working potential, making it a promising anode candidate sodium‐ion batteries (SIBs). However, substantial volume changes slow reaction kinetics during cycling detrimentally affects the SIB performance. Theoretical prediction uncovers previously unexplored favorable attribute that bonding between nitrogen within carbon coating Bi atoms facilitates Na + ingress into bulk, significantly enhancing...
The low ionic conductivities of aprotic electrolytes hinder the development extreme fast charging technologies and applications at temperatures for lithium-ion batteries (LIBs). Herein, we present an electrolyte with LiFSI in acetone (DMK). In DMK electrolytes, solvation number is three, solvent-separated ion pairs (SSIPs) are dominant structure, which largely different from other linear where salts primarily exist as contact (CIPs). With incompact structures due to weak ability Li+,...
Drug-resistant bacterial infections pose a serious threat to human health; thus, there is an increasingly growing demand for nonantibiotic strategies overcome drug resistance in infections. Mild photothermal therapy (PTT), as attractive antibacterial strategy, shows great potential application due its good biocompatibility and ability circumvent resistance. However, efficiency limited by the heat of bacteria. Herein, Cu2O@MoS2, nanocomposite, was constructed situ growth Cu2O nanoparticles...
The overall success rate of circumferential pulmonary vein isolation (CPVI) treatment in patients with paroxysmal atrial fibrillation (AF) remains suboptimal, especially older patients.
Liquid crystal elastomers (LCEs) are a kind of polymer network that combines the entropic elasticity networks and mesogenic unit by means mild cross-linking. LCEs have been extensively investigated in various fields, including artificial muscles, actuators, microrobots. However, characterized poor mechanical properties light polymers themselves. In this study, we propose to prepare carbon nanotube/liquid elastomer (CNT/LCE) composite yarn electrospinning technology two-step cross-linking...
Abstract Our main objective was to use machine learning methods identify significant structural factors associated with pain severity in knee osteoarthritis patients. Additionally, we assessed the potential of various classes imaging data using techniques gauge severity. The semi-quantitative assessments radiographs, magnetic resonance (MRI), and MRI images from 567 individuals Osteoarthritis Initiative (OAI) were utilized train a series models. Models constructed five methods: random...
Hard carbons hold considerable promise as anode materials for sodium-ion batteries. Nevertheless, their inadequate closed pores are detrimental to the filling and extraction of Na+, which leads poor plateau capacity during charging discharging processes hinders progress application high-energy carbon anodes essential accelerating commercialization SIBs. In this work, we proposed a convenient co-carbonization strategy aimed at synthesizing hard–soft composite featuring plenty pores,...
Deep underground rocks exhibit significant layered heterogeneity due to geological evolution and sedimentation. Rock fracture toughness, as one of the important indicators hydraulic crack propagation, also exhibits heterogeneous distribution. In order investigate influence non-uniform toughness on this paper establishes a planar three-dimensional propagation model. The model is numerically solved using 3D displacement discontinuity method (3D-DDM) finite difference method. calculation...
Iridescent cellulose nanocrystal (CNC) films with chiral nematic nanostructures exhibit great potential in optical devices, sensors, painting, and anticounterfeiting applications. CNCs can assemble into a liquid crystal structure by evaporation-assisted self-assembly (EISA) vacuum-assisted (VASA) techniques. However, there is lack of comprehensive examinations their structure–property correlations, which are essential for fabricating materials unique properties. In this work, we gained...
Blood microbiome signatures in patients with type 1 diabetes (T1D) remain unclear. We profile blood using 16S rRNA gene sequencing 77 controls and 64 children new-onset T1D, compared it the gut oral microbiomes. The of T1D is characterized by increased diversity perturbed microbial features, a significant increase potentially pathogenic bacteria controls. Thirty-six representative genera were identified random forest analysis, providing strong discriminatory power for an AUC 0.82. PICRUSt...
Based on two-band time-dependent Ginzburg–Landau theory, we study the electromagnetic properties of mesoscopic type-1.5 superconductors with different defect configurations. We perform numerical simulations finite element method, and give direct evidence for existence a vortex cluster phase in presence nonmagnetic impurity. In addition, also investigate depinning critical current magnetic induced by isotropic or anisotropic structure under external current. Our theoretical results thus...
Convolutional Neural Networks (CNNs) have found widespread applications in artificial intelligence fields such as computer vision and edge computing. However, input data dimensionality convolutional model depth continue to increase, deploying CNNs on embedded devices faces significant challenges, including high computational demands, excessive hardware resource consumption, prolonged computation times. In contrast, the Decomposable Winograd Method (DWM), which decomposes large-size or...