A5101825361- Sensorless Control of Electric Motors
- Magnetic Bearings and Levitation Dynamics
- Electric Motor Design and Analysis
- Heart Rate Variability and Autonomic Control
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Antiplatelet Therapy and Cardiovascular Diseases
- Pulmonary Hypertension Research and Treatments
- Congenital Heart Disease Studies
- Hydraulic and Pneumatic Systems
- Bioinformatics and Genomic Networks
- Enzyme Production and Characterization
- Brain Tumor Detection and Classification
- Computational Drug Discovery Methods
- Enzyme Catalysis and Immobilization
- Electrospun Nanofibers in Biomedical Applications
- Breast Lesions and Carcinomas
- Insect Resistance and Genetics
- Polymer-Based Agricultural Enhancements
- Venous Thromboembolism Diagnosis and Management
- Piezoelectric Actuators and Control
- Dementia and Cognitive Impairment Research
- Drug Solubulity and Delivery Systems
- Photochromic and Fluorescence Chemistry
- Ferroptosis and cancer prognosis
University of Florida
2025
Shanghai University of Engineering Science
2023-2024
Shandong University
2024
Jiangnan University
2024
Edwards Lifesciences (United States)
2022-2024
Southwest University
2024
Shanghai University
2024
China University of Mining and Technology
2024
Duke-NUS Medical School
2023
National University of Singapore
2023
Due to its own structural characteristics, permanent magnet synchronous linear motors (PMSLMs) have unstable motor parameters during operation due the end effect and inherent magnetic circuit instability. At same time, characteristics of reciprocating switching motion high-speed positioning in industrial applications, thus placing high demands on controller. In order improve performance PMSLM, this paper firstly studies structure, distribution air gap field are obtained, simulation analysis...
Abstract Alzheimer's disease (AD) is a severe neurodegenerative that can cause dementia symptoms. Currently, most research methods for diagnosing AD rely on fusing neuroimaging data of different modalities to exploit their heterogeneity and complementarity. However, effectively using such multi‐modal information construct fusion remains challenging problem. To address this issue, we propose multi‐scale transformer network (MMTFN) computer‐aided diagnosis AD. Our comprises 3D residual block...
The shielding effects of neighboring particles on the flocculation dynamics cohesive sediment in homogeneous isotropic turbulence is investigated using a two-phase particle-unresolved, but turbulence-resolved, Euler-Lagrange simulations. A CFD-DEM coupled framework applied, which discrete element method (DEM) model captures collisional interactions among particles. high-resolution grid used CFD resolves all turbulent scales. primary are substantially smaller than Kolmogorov length scale,...
Abstract Motivation Spatial transcriptomics allows for the measurement of high-throughput gene expression data while preserving spatial structure tissues and histological images. Integrating expression, information, image to learn discriminative low-dimensional representations is critical dissecting tissue heterogeneity analyzing biological functions. However, most existing methods have limitations in effectively utilizing information high-resolution We propose a signal-diffusion-based...
This article presents the design and operation of a deflection type double stator switched reluctance generator (DDSRG) for wind turbine applications. The DDSRG can generate electricity with high efficiency according to different directions. A deflectable SRG model is proposed achieve above requirements, which deflect in space First, this introduces special structure DDSRG. And operating principle explained. At same time, mathematical external built as an example. voltage characteristics...
In order to make the speed adjustment system of permanent magnet synchronous linear motor more stable and convergence performance control better, a regulator based on terminal sliding mode algorithm is proposed. addition, will also be affected by temperature changes during its operation. Aiming enhance adaptability motors parameter changes, idea adaptive identification The Popov stability theory mathematical model are used construct system. flux parameters as update matching realized....
Myocardial ischemia/reperfusion (MI/R) injury is an unresolved clinical challenge. The blockade of binding fibrinogen by glycoprotein IIb/IIIa (GPIIb–IIIa) inhibitors has become a new therapeutic approach against MI/R injury. In this study, we modified the RGD structure to combine with scutellarin and synthesized novel peptide, scutellarin–HomoArg–Gly–Asp–Trp–NH2 (WK001). Herein, reported experimental docking evidence indicates that WK001 provides immediate potent platelet inhibition,...
Foxtail millet (Setaria italica (L.) P. Beauv) is an important food and forage crop that well adapted to nutrient-poor soils. However, little known about how foxtail adapts low nitrogen (LN) at the physiological molecular levels. In present study, two varieties with contrasting tolerance properties were investigated through integrative analyses of featureparameters transcriptomics. The results showed JG20 (high LN) had higher biomass accumulation, content use efficiency compared JG22 (low...
To explore the effects of biogas slurry coordinating chemical fertilizer on growth promotion tomato, we used three kinds typical as concentrated nutrient solution, respectively fermented from raw duck manure, pig cow dung, while urea, monocalcium phosphate and potassium sulphate auxiliary nutrition to balance difference between different dilution ratios slurry. The results showed partially substituting could significantly improve soil fertility, including available nitrogen, phospho-rus,...
Abstract Due to the sensitivity of microorganisms environment, with strong tolerance in early stage coal mining collapse will gradually move a dominant position, and plants can improve soil quality provide important carbon sources for microorganisms. The characteristics response bacteria cracks during 15 ~ 20 days were studied. Compared non-cracked farmland group (C), bulk density cracked (F) increased significantly mining,while porosity was on contrary (p < 0.05). mineral elements...
Group behavior prediction and evolution in social networks aims to accurately predict model trends patterns of group through detailed analysis massive user data, which is great significance the formulation marketing strategies, experience, business strategies. Therefore, experts various fields are actively exploring potential network data develop more accurate models. This article provides an overview these studies explores challenges opportunities faced by networks.
Autonomous agents have demonstrated significant potential in automating complex multistep decision-making tasks. However, even state-of-the-art vision-language models (VLMs), such as GPT-4o, still fall short of human-level performance, particularly intricate web environments and long-horizon planning To address these limitations, we present Reflective Monte Carlo Tree Search (R-MCTS) Exploratory Learning to build o1-like for agentic applications. We first introduce R-MCTS, a novel test-time...
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a positive-stranded single-stranded RNA virus with an envelope frequently altered by unstable genetic material, making it extremely difficult for vaccines, drugs, and diagnostics to work. Understanding SARS-CoV-2 infection mechanisms requires studying gene expression changes. Deep learning methods are often considered large-scale profiling data. Data feature-oriented analysis, however, neglects the biological process nature of...
Medical image segmentation is particularly critical as a prerequisite for relevant quantitative analysis in the treatment of clinical diseases. For example, cervical cancer radiotherapy, after acquiring subabdominal MRI images, fast and accurate organs tumors images can optimize radiotherapy process, whereas traditional approaches use manual annotation by specialist doctors, which time-consuming laborious, therefore, automatic organ valuable research topic.