- Inhalation and Respiratory Drug Delivery
- Advanced battery technologies research
- Advanced Graph Neural Networks
- Aerosol Filtration and Electrostatic Precipitation
- Environmental Impact and Sustainability
- Electrocatalysts for Energy Conversion
- Fuel Cells and Related Materials
- Topic Modeling
- Advanced Battery Materials and Technologies
- Particle Dynamics in Fluid Flows
- Concrete and Cement Materials Research
- Air Quality Monitoring and Forecasting
- Recycled Aggregate Concrete Performance
- Infection Control and Ventilation
- Atomic and Subatomic Physics Research
- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Advanced Materials and Mechanics
- Advancements in Battery Materials
- Lattice Boltzmann Simulation Studies
- Recommender Systems and Techniques
- Natural Language Processing Techniques
- Machine Learning and ELM
- Supercapacitor Materials and Fabrication
- Cellular and Composite Structures
University of Pennsylvania
2025
Dalian Maritime University
2023-2025
Université de Montréal
2023-2024
Shanghai Jiao Tong University
2017-2024
Nanjing Tech University
2023-2024
Geological Exploration Institute of Shandong Zhengyuan
2024
Zhengzhou University of Light Industry
2023-2024
Oklahoma State University
2017-2023
China Three Gorges University
2023
Xinjiang University
2023
Abstract Chemical doping is a powerful method to intrinsically tailor the electrochemical properties of electrode materials. Here, an interstitial boron‐doped tunnel‐type VO 2 (B) constructed via facile hydrothermal method. Various analysis techniques demonstrate that boron resides in site and such can boost zinc storage kinetics structural stability cathode during cycling. Interestingly, we found level has saturation limit peculiarity as proved by quantitative analysis. Notably, at.% shows...
In person re-identification (ReID) task, it is still challenging to learn discriminative representation by deep learning, due limited data. Generally speaking, the model will get better performance when increasing amount of The addition similar classes strengthens ability classifier identify identities, thereby improving discrimination representation. this paper, we propose a Diverse and Compact Transformer (DC-Former) that can achieve effect splitting embedding space into multiple diverse...
Most existing whole lung models neglect the airway deformation kinematics and assume airways are static. However, neglecting effect on pulmonary air-particle flow dynamics significantly limits modeling capability under disease-specific conditions. Therefore, a novel elastic truncated whole-lung (TWL) framework has been developed to simulate simultaneously with using one-way coupled Euler–Lagrange method plus dynamic mesh method. Specifically, of TWL model was calibrated clinical data...
Healing of the cutaneous wound requires macrophage recruitment at sites injury, where chemotactic migration macrophages toward is regulated by local inflammation. Recent studies suggest a positive contribution DNA methyltransferase 1 (Dnmt1) to pro-informatory responses; however, its role in regulating motility remains unknown. In this study, myeloid-specific depletion Dnmt1 mice promoted healing and de-suppressed lipopolysaccharides (LPS)-inhibited motility. inhibition eliminated...
Metamaterials have been a hot topic over the past 2 decades, involving scientific research directions in materials, engineering, and physics. Among them, programmable mechanical metamaterials are an emerging class of that offer intelligent programming control diverse properties, such as stiffness, damping, thermal expansion, shape memory behavior. Meanwhile, it can be rationally designed to specific geometric architectures strategies response different types external stimuli, temperature,...
Aqueous manganese-ion batteries (MIBs) are distinguished as a possible choice for energy storage systems since the Mn anode could offer superior theoretical capacity and low redox potential. However, capacities...
The phenomenon of neglected adolescents is more common than people thought both nationally and internationally. Family environment own ecological system can affect their mental health learning efficiency. Neglected encounter social-emotional challenges, yet prior research often overlooks the factors influencing development. Few studies systematically integrate social, family, school to comprehensively understand outcomes. This systematic literature review assesses on development from an...
Determining the impact of inter-subject variability on airflow pattern and nanoparticle deposition in human respiratory system is necessary to generate population-representative models, useful for several biomedical engineering applications. Thus, overall research objective quantitatively correlate geometric parameters coupled transport characteristics air, vapor, nanoparticles. Focusing identifying morphological that significantly influence field transport, an experimentally validated...
<title>Abstract</title> Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge due to complexity contributing factors, some which can be characterized through interlinked, multi-modality variables such as epidemiological time series data, viral biology, population demographics, and intersection public policy human behavior. Existing forecasting model frameworks struggle with multifaceted nature relevant data robust results translation, hinders their...