A5100632679- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Advancements in Solid Oxide Fuel Cells
- Medical Imaging and Analysis
- Multilevel Inverters and Converters
- Digital and Cyber Forensics
- Electric Vehicles and Infrastructure
- Advanced battery technologies research
- Spinal Fractures and Fixation Techniques
- Adversarial Robustness in Machine Learning
- Artificial Intelligence in Law
- Plasma Applications and Diagnostics
- Electrohydrodynamics and Fluid Dynamics
- Video Analysis and Summarization
- Plasma Diagnostics and Applications
- Wind Turbine Control Systems
- Music and Audio Processing
- Air Quality and Health Impacts
- Educational Reforms and Innovations
- Civil and Geotechnical Engineering Research
- Wind Energy Research and Development
- Pancreatic function and diabetes
- Lexicography and Language Studies
Hubei University of Medicine
2023-2024
Kansai University
2024
Hubei University of Chinese Medicine
2023-2024
North China University of Water Resources and Electric Power
2023
Tongji University
2013-2023
State Grid Corporation of China (China)
2020-2023
Tongji Hospital
2022
Zhejiang University
2021
Dana-Farber Cancer Institute
2018
University of Cape Town
2018
The development of fuel cell electric vehicles can to a certain extent alleviate worldwide energy and environmental issues. While single management strategy cannot meet the complex road conditions an actual vehicle, this article proposes multi-mode for with range extender based on driving condition recognition technology, which contains patterns recognizer controller. This paper introduces learning vector quantization (LVQ) neural network design according vehicle's information. automatically...
Plasma-activated water (PAW), due to either possessing a sterilization effect or harboring stimulation, activation, and inhibition properties, has been widely used in medicine, biology, food, many other fields. Here, the qualitative quantitative methods for detecting reactive species PAW are reviewed potentials limitations of these discussed. Compared established individual analysis species, unique challenges arise detection quantification cocktail found PAW, particular interference from...
Large Language Models (LLMs) are increasingly being integrated into services such as ChatGPT to provide responses user queries. To mitigate potential harm and prevent misuse, there have been concerted efforts align the LLMs with human values legal compliance by incorporating various techniques, Reinforcement Learning from Human Feedback (RLHF), training of LLMs. However, recent research has exposed that even aligned susceptible adversarial manipulations known Jailbreak Attacks. address this...
Abstract Combination of computed tomography (CT) radiography and deep learning to predict subsequent osteoporotic vertebral compression fracture (OVCF) has not been reported. To do so, we analyzed retrospectively CT images from 103 patients who experienced twice OVCF in Tongji Hospital 2011 2022. Meanwhile, 70 age‐matched without were used as the negative control. Convolutional neural network was for classification Adam optimizer combining momentum exponentially weighted moving average...
Due to the low efficiency and high pollution of conventional internal combustion engine vehicles, fuel cell hybrid electric vehicles are expected play a key role in future clean energy transportation attributed long driving range, short hydrogen refueling time environmental advantages. The development management strategies has an important impact on economy durability, but most ignore aging cells corresponding consumption. In this paper, rule-based fuzzy control strategy is proposed based...
The limited lifetime of proton exchange membrane fuel cell (PEMFC) inhibits the further development industry. Prediction is one most effective means for managing a because it can assist in implementation mitigation actions before vehicular fails by estimating residual lifetime. Therefore, this study aimed to develop PEMFC prediction method online applications. This paper presents developed cell, which utilises data processing with an adaptive extended Kalman filter and formula. formula...
Vertebroplasty is the main minimally invasive operation for osteoporotic vertebral compression fracture (OVCF), which has advantages of rapid pain relief and shorter recovery time. However, new adjacent (AVCF) occurs frequently after vertebroplasty. The purpose this study was to investigate risk factors AVCF establish a clinical prediction model.We retrospectively collected data patients who underwent vertebroplasty in our hospital from June 2018 December 2019. were divided into...
Abstract Widespread distribution of porcine epidemic diarrhea virus (PEDV) has led to catastrophic losses the global pig farming industry. As a result, there is an urgent need for rapid, sensitive and accurate tests PEDV enable timely effective interventions. In present study, we develop validate floating gate carbon nanotubes field-effect transistor (FG CNT-FET)-based portable immunosensor rapid identification in manner. To improve affinity, unique spike protein-specific monoclonal antibody...
Abstract With the rapid depletion of fossil reserves, unstable prices commodities and negative effect fuel on environment, demand for clean energy power generation increases. Proton exchange membrane (PEM) cells are a prominent technology in variety applications such as cell vehicles, portable supplies, stationary stations submarines. their high density, low emission, operating temperature, efficiency, noiseless operation simplicity design operation, PEM have number attractive advantages...
Fuel cell air supply system has a delay due to compressor during load-changing process, and cannot the stack quickly, which may lead oxygen starvation. Oxygen starvation not only affects output power of fuel cell, but also leads decrease in catalyst performance durability. This paper proposes an adaptive PID controller strategy based on fuzzy logic control for system. The objective is adjust excess ratio suitable value prevent simulation results show that proposed can quickly stably value.
Large Language Models (LLMs) are increasingly being integrated into services such as ChatGPT to provide responses user queries. To mitigate potential harm and prevent misuse, there have been concerted efforts align the LLMs with human values legal compliance by incorporating various techniques, Reinforcement Learning from Human Feedback (RLHF), training of LLMs. However, recent research has exposed that even aligned susceptible adversarial manipulations known Jailbreak Attacks. address this...
Journal Article Syntactic Positions of Prepositional Phrases in the History Chinese: Using Developing Sheffield Corpus Chinese for Diachronic Linguistic Studies Get access Xiaoling Hu, Hu University Sheffield, UK Search other works by this author on: Oxford Academic Google Scholar Jamie McLaughlin, McLaughlin Nigel Williamson Hallam University, Literary and Computing, Volume 22, Issue 4, November 2007, Pages 419–434, https://doi.org/10.1093/llc/fqm017 Published: 13 September 2007
A parameter sensitivity analysis is an important part of the stability study hydro turbine regulation systems, which helps operators to deepen their understanding characteristics and connections among various parts these systems. Considering that large hydropower stations undertake essential task in power grid, safety operation cannot be ignored. To this end, taking a unit giant station China as example, hydraulic–mechanical–electrical coupling model hydraulic system established....
Multi-level converters have attracted tremendous interest in the power industry and offer an alternate for medium high voltage applications. This paper discusses simplified implementation of two well-known but revised space vector pulse width modulation (SVPWM) techniques a comparison is made based on their performance resource utilization. The are dwell time calculations which assist determining sequencing switches different (αβ gh) stationary reference frames three-level neutral point...
The whole vehicle was divided into eight pieces for establishing the semi-active suspension mode. different fuzzy control strategies were designed according to vertical, heeling and pitching movement of body. comprehensive vibration reduced by controlling output current magneto-rheological damper. Simulation analysis operated with parameters a certain type vehicle, simulation results show that method using strategy can well improve riding comfortableness, its effect is superior optimal control.
<div class="section abstract"><div class="htmlview paragraph">Owing to its advantages of high energy density, quick start-up, and no emissions, the proton exchange membrane fuel cell (PEMFC) is one most promising power sources in transportation has been used for automotive application years. However, shortcomings key performances, such as lifetime efficiency, characterized by state health (SOH), restrict large-scale commercialization electric vehicles (FCEV), raising demands...
Bipolar plates have an important influence on the performance of Proton Exchange Membrane fuel cells (PEMFC). They are medium to ensure that reaction enters cell, and bipolar plate determines weight cell stack a large extent. Because is directly related material cost, plays decisive role in manufacturing cost cells. In current products, quality can be as high 70%, accounts for 30% cell. The enhanced composite has unique electrical mechanical properties. If technical problems such...