A5070601319- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Effects and risks of endocrine disrupting chemicals
- Fuel Cells and Related Materials
- Membrane-based Ion Separation Techniques
- Wireless Power Transfer Systems
- Microplastics and Plastic Pollution
- Medical Imaging Techniques and Applications
- Energy Harvesting in Wireless Networks
- Advanced Battery Technologies Research
- Advanced battery technologies research
- AI in cancer detection
- Toxic Organic Pollutants Impact
- COVID-19 Clinical Research Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Advanced Malware Detection Techniques
- Natural Language Processing Techniques
- Geophysics and Sensor Technology
- Recycling and Waste Management Techniques
- Viral Infections and Vectors
- Magneto-Optical Properties and Applications
- Chemical Analysis and Environmental Impact
- Cerebrospinal fluid and hydrocephalus
- Software Testing and Debugging Techniques
- Software Engineering Research
Xi’an Jiaotong-Liverpool University
2022-2025
University of Liverpool
2024-2025
Wuhan Polytechnic University
2022-2024
North China Electric Power University
2019-2020
National University of Defense Technology
2019
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with risk fatality 4.03% and highest 13.04% Algeria 12.67% Italy (as 8th April 2020). The onset serious illness may result death as consequence substantial alveolar damage progressive respiratory failure. laboratory testing, e.g., using reverse...
The world is currently experiencing an ongoing pandemic of infectious disease named coronavirus 2019 (i.e., COVID-19), which caused by the severe acute respiratory syndrome 2 (SARS-CoV-2). Computed Tomography (CT) plays important role in assessing severity infection and can also be used to identify those symptomatic asymptomatic COVID-19 carriers. With a surge cumulative number patients, radiologists are increasingly stressed examine CT scans manually. Therefore, automated 3D scan...
Linear cross-linked and star anion exchange membranes (AEMs) are reported in this work, namely, lcQPPO (linear quaternized poly(2,4-dimethyl-1,4-phenylene oxide) (PPO)) scDQPPO (star PPO) . Compared with original quarternized PPO (QPPO), AEMs show a restrained swelling degree. But, due to the hindrance of cross-linking polymer matrix, decreased ionic conductivity. For scDQPPO, its wide connective ion channels beneficial conduction OH–, exhibiting increased Besides, aggregated networks...
Xenoestrogens, classified as endocrine disruptors, can be inhaled through atmospheric particles, leading to adverse health effects such cancer and developmental abnormalities. This research focused on analysing the monthly distribution, seasonal variation, impacts of six target xenoestrogens (dibutyl phthalate (DBP), di(2-ethylhexyl) (DEHP) diisobutyl (DIBP)), bisphenol A (BPA), alkylphenols (nonylphenol (NP) 4-tert-octylphenol (4-t-OP)) in PM2.5 at campus Xi'an Jiaotong-Liverpool University...
As endocrine disruptors, xenoestrogens are prevalent in inland lakes and mainly attributed to atmospheric transportation. There is limited research on the air-water exchange of waters and...
Background and Objective: Ventricle volume is closely related to hydrocephalus, brain atrophy, Alzheimer's, Parkinson's syndrome, other diseases. To accurately measure the of ventricles for elderly patients, we use deep learning establish a systematic comprehensive automated ventricle segmentation framework. Methods: The study participation included 20 normal people, patients with cerebral 64 pressure 51 acquired hydrocephalus. Second, get their imaging data through picture archiving...
The rapid spread of coronavirus 2019 disease (COVID-19) has manifested a global public health crisis, and chest CT been proven to be powerful tool for screening, triage, evaluation prognosis in COVID-19 patients. However, is not only costly but also associated with an increased incidence cancer, particular children. This study will question whether clinical symptoms laboratory results can predict the outcomes pediatric patients positive RT-PCR testing order determine necessity such...
Abstract Plasticizers are commonly utilized as packaging additives in the food service industry. The takeaway sector provides convenience to consumers, but also raises risk of human exposure plasticizers. goal this study is determine amount phthalates and compare migration amounts under various situations. A comprehensive health impact assessment was conducted provide evaluation human's daily phthalates. results revealed that five (di (2‐ethylhexyl) phthalate (DEHP), butyl benzyl (BBP),...
The effect of the inhomogeneous magnetic field on Faraday rotation angle and output light intensity was analyzed using finite element simulation, at different distances between conductor magneto-optical glass. results show that under an field, birefringence due to Cotton-Mouton decreases straight-through optical path. is non-linearly inversely proportional distance. Based these results, which were verified by theoretical model, a reasonable geometric arrangement sensing component current...
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with risk fatality 4.03% and highest 13.04% Algeria 12.67% Italy (as 8th April 2020). The onset serious illness may result death as consequence substantial alveolar damage progressive respiratory failure. laboratory testing, e.g., using reverse...
Aiming to maximize the transmission efficiency of inductively coupled power (ICPT) system with designed output power, a frequency locking method for an ICPT based on LCC/S compensation topology is proposed in this paper. Firstly, relationship between component Lf1 and was deduced by lossless model, initial value obtained. Then, considering loss, were input into program, other parameters dynamically tracked. At same time, calculated, that achieved maximum automatically locked when met...
Environmental context estrogens can disrupt the normal functioning of endocrine systems, and their occurrence in drinking water sources could cause potential health risk. We investigated concentrations four lakes from Taihu Basin, found that BPA EE2 were elevated some sites. However, all environmental below national standards, caused no threat to local population. Rationale The Basin is a critical freshwater ecosystem susceptible contamination various anthropogenic activities. (also known as...
Endocrine disruptors are widely present in the environment and defined as a subset of endocrine due to biological activity environmental estrogens (xenoestrogens). These substances persist trace pollutants contribute material cycle. Atmospheric transportation is regarded main source xenoestrogens inland lakes. However, previous research on air-water exchange ecological freshwaters has been limited, studies have indicated that sex differences may result heterogeneity health effects same air...
As Large Language Models (LLMs) continue to advance in natural language processing (NLP), their ability stably follow instructions long-context inputs has become crucial for real-world applications. While existing benchmarks assess various LLM capabilities, they rarely focus on instruction-following scenarios or stability different inputs. In response, we introduce the Long-context Instruction-Following Benchmark (LIFBench), a scalable dataset designed evaluate LLMs' capabilities and across...
Code reuse is widespread in software development for various CPU architectures. It can cause many problems, such as plagiarism and known vulnerabilities. To tackle these we propose CrossDiff, a cross-architecture binary function searching system. We aim to find similar functions binaries belonging different architectures x86, ARM, MIPS, PowerPC. The system has four phases. pre-processing phase lifts the into LLVM IR codes optimizes reduce impacts of other factors. Secondly, it extracts...
To address the problems of traditional frequency tracking, such as falling into a local optimum, oscillation near optimal point, and contradiction between tracking speed accuracy, an improved perturb–observe method based on component drift parametric scanning is proposed. An inductive contactless power transmission system with LCC/S third-order compensation topology employed research object. First, relationships output voltage under are given by theoretical deduction calculation. Then,...
The world is currently experiencing an ongoing pandemic of infectious disease named coronavirus 2019 (i.e., COVID-19), which caused by the severe acute respiratory syndrome 2 (SARS-CoV-2). Computed Tomography (CT) plays important role in assessing severity infection and can also be used to identify those symptomatic asymptomatic COVID-19 carriers. With a surge cumulative number patients, radiologists are increasingly stressed examine CT scans manually. Therefore, automated 3D scan...