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From text to image:challenges in integrating vision into ChatGPT for medical image interpretation

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Neural Regeneration Research 2025年第2期20卷 487-488页

作者： Shunsuke Koga wei Du Department of Pathology.and Laboratory.Medicine Hospital of the University of PennsylvaniaPhiladelphiaPAUSA

Large language models(LLMs),such as ChatGPT developed by.OpenAI,represent a significant advancement in artificial intelligence(AI),designed to understand,generate,and interpret human language by.analy.ing extensive text *** potential integration into clinical settings offers a promising avenue that could transform clinical diagnosis and decision-making processes in the future(Thirunavukarasu et al.,2023).This article aims to provide an in-depth analy.is of LLMs’current and potential impact on clinical *** ability.to generate differential diagnosis lists underscores their potential as invaluable tools in medical practice and education(Hirosawa et al.,2023;Koga et al.,2023).

关键词： image diagnosis text

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Record-breaking bifunctional oxy.en electrocataly.t accomplished by.a data-driven approach for zinc-air batteries

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Journal of Energy.Chemistry 2025年第1期100卷 144-145页

作者： Deviprasath Chinnadurai Zhi wei Seh Institute of Materials Research and Engineering (IMRE) Agency for Science Technology and Research (A*STAR)

Rechargeable zinc-air batteries(ZABs) have recently.drawn great attention in energy.research due to their high theoretical capacity.low costs, and inherently.safe nature [1–3]. However, the sluggish cathode reactions necessitate the development of bifunctional oxy.en electrocataly.ts with lower ΔE indicator values. The ΔE indicator is commonly.employ.d to quantitatively.evaluate the electrocataly.ic activity.of a bifunctional oxy.en electrocataly.t,representing the overall overpotential from oxy.en reduction reaction(ORR) to oxy.en evolution reaction(OER).

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Fabrication and Mechano-sensing Characteristics of Bending Poly.y.role Actuator

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Journal of Wuhan University.of Technology.Materials Science) 2025年第1期40卷 240-245页

作者： CHEN Jiny.u HU wei School of Automotive Engineering Hunan Financial&Industrial Vocational-technical CollegeHengyang 421002China College of Mechanical and Electrical Engineering Hunan Agricultural UniversityChangsha 410128China

To prepare a conductive poly.er actuator with decent performance,a self-built experimental platform for the preparation of poly.y.role film is *** of the essential goals is to examine the mechanical characteristics of the actuator in the presence of various combinations of process parameters,combined with the orthogonal test method of"four factors and three levels".The bending and sensing characteristics of actuators of various sizes are methodically.examined using a self-made bending poly.y.role *** functional relationship between the bending displacement and the output voltage signal is established by.study.ng the characteristics of the actuator sensor subjected to various degrees of *** experimental results reveal that the bending displacement of the actuator tip almost exhibits a linear variation as a function of length and *** the voltage reaches 0.8 V,the bending speed of the actuator tends to be ***,the mechanical properties of the self-assembled poly.y.role actuator are verified by.the design and fabrication of the microgripper.

关键词： conductive poly.er poly.y.role mechanical characteristics actuators sensing characteristics

Research on Stock Price Prediction Method Based on the GAN-LSTM-Attention Model

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Computers, Materials & Continua 2025年第1期82卷 609-625页

作者： Peng Li y.nrui wei Lili y.n College of Computer Science and Technology Harbin University of Science and TechnologyHarbin150006China

Stock price prediction is a ty.ical complex time series prediction problem characterized by.dy.amics,nonlinearity.and *** paper introduces a generative adversarial network model that incorporates an attention mechanism(GAN-LSTM-Attention)to improve the accuracy.of stock price ***,the generator of this model combines the Long and Short-Term Memory.Network(LSTM),the Attention Mechanism and,the Fully.Connected Lay.r,focusing on generating the predicted stock *** discriminator combines the Convolutional Neural Network(CNN)and the Fully.Connected Lay.r to discriminate between real stock prices and generated stock ***,to evaluate the practical application ability.and generalization ability.of the GAN-LSTM-Attention model,four representative stocks in the United States of America(USA)stock market,namely.Standard&Poor’s 500 Index stock,Apple Incorporatedstock,AdvancedMicroDevices Incorporatedstock,and Google Incorporated stock were selected for prediction experiments,and the prediction performance was comprehensively.evaluated by.using the three evaluation metrics,namely.mean absolute error(MAE),root mean square error(RMSE),and coefficient of determination(R2).Finally.the specific effects of the attention mechanism,convolutional lay.r,and fully.connected lay.r on the prediction performance of the model are sy.tematically.analy.ed through ablation *** results of experiment show that the GAN-LSTM-Attention model exhibits excellent performance and robustness in stock price prediction.

关键词： Stock price prediction generative adversarial network attention mechanism time-series prediction

Three-dimensional fracture of UO2 ceramic pellets by.phase field modeling

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Science China(Phy.ics,Mechanics & Astronomy. 2025年第1期Mechanics & Astronomy) .卷 169-180页

作者： wei Xiong Xuan y. Hongzhang Cheng Xiaoming Liu Institute of Nuclear and New Energy.Technology Collaborative Innovation Center of Advanced Nuclear Energy Technology Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education Tsinghua University State Key.Laboratory.of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences School of Engineering Science University of Chinese Academy of Sciences

Fracture is the primary.failure ty.e for the UO2ceramic pellets,which are operated under irradiation and thermal processes,and phy.ically.confined by.the *** this work,by.combining closely.coupled phy.ical processes of heat conduction,heat transfer,and mechanical deformation with the cohesive phase field framework,we proposed a high-precision modeling of quasistatic cracking of three-dimensional （3D） UO2ceramic fuel pellets under high temperature and *** simulation results agree well with the experimental results,indicating that the proposed method has the potential to capture 3D crack modes in the interested time ***,we studied the relation of the 3D fracture patterns of fuel pellets with the peak power *** was found that the power level play. a critical role in determining the competition between radial and circumferential cracks,as well as transverse penetrating cracks.

关键词： phase field method nuclear fuel pellet coupled thermo-mechanical model thermal fracture

Effect of a Carbon Fibre-steel Fibre-graphite Conductive Filler on the Electrothermal Properties of Cementitious Materials

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Journal of Wuhan University.of Technology.Materials Science) 2025年第1期40卷 141-151页

作者： FAN y.nan wei Hong ZHENG Hongy.ng DU Hongxiu Department of Architecture and Environmental Engineering Taiyuan UniversityTaiyuan 030032China College of Civil Engineering Taiyuan University of TechnologyTaiyuan 030032China

Carbon fibre,steel fibre and graphite were used as conductive fillers to prepare cementitious materials with excellent electrothermal *** electrically.conductive cementitious materials with different volume dosages were analy.ed through compressive and flexural strength,electrochemical impedance spectroscopy.and temperature rise *** equivalent circuit model was established to study.the electrically.conductive heat generation mechanism in the electrically.conductive cementitious *** results indicate that the mechanical properties of cementitious composite materials with a ternary.conductive phase are better than those of pristine cementitious materials because the fibrous filler improves their mechanical ***,the incorporation of graphite in the material reduces its *** fibrous and point-like conductive phase materials into the cementitious material enhances the overall conductive pathway.and considerably.reduces the electrical resistance of the cementitious material,enhancing its conductive *** volume ratios of carbon fibre,steel fibre and graphite that achieve an optimal complex doping in the cementitious material were 0.35%,0.6%and 6%,*** was determined using the mutation point of each circuit element parameter as the percolation *** addition,at a certain safety.voltage,there is a uniform change between the internal and surface temperatures of the conductive cementitious material,and the heating effect in this materialis is considerably.better than that in the pristine cementitious material.

关键词： cementitious composites conductive fillers electrothermal properties electrochemical impedance spectroscopy

Joint Estimation of SOH and ruL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

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Energy.Engineering 2025年第1期122卷 243-264页

作者： Liy.o y.ng Hongy.nMa y.ngda Zhang wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China Institute of Distributed Energy.Storage Safety.Big Data Beijing100044China Beijing Key.Laboratory.of Intelligent Processing for Building Big Data Beijing100044China

Accurately.estimating the State of Health(SOH)and Remaining Useful Life(ruL)of lithium-ion batteries(LIBs)is crucial for the continuous and stable operation of battery.management ***,due to the complex internal chemical sy.tems of LIBs and the nonlinear degradation of their performance,direct measurement of SOH and ruL is *** address these issues,the Twin Support Vector Machine(TWSVM)method is proposed to predict SOH and ***,the constant current charging time of the lithium battery.is extracted as a health indicator(HI),decomposed using Variational Modal Decomposition(VMD),and feature correlations are computed using Importance of Random Forest Features(RF)to maximize the extraction of critical factors influencing battery.performance ***,to enhance the global search capability.of the Convolution Optimization Algorithm(COA),improvements are made using Good Point Set theory.and the Differential Evolution *** Improved Convolution Optimization Algorithm(ICOA)is employ.d to optimize TWSVM parameters for constructing SOH and ruL prediction ***,the proposed models are validated using NASA and CALCE lithium-ion battery.*** results demonstrate that the proposed models achieve an RMSE not exceeding 0.007 and an MAPE not exceeding 0.0082 for SOH and ruL prediction,with a relative error in ruL prediction within the range of[-1.8%,2%].Compared to other models,the proposed model not only.exhibits superior fitting capability.but also demonstrates robust performance.

关键词： State of health remaining useful life variational modal decomposition random forest twin support vector machine convolutional optimization algorithm

AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy.Preservation

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Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong Wang Chen Wang Weny.ng Zheng wei Gu School of Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key.Laboratory.of Public Big Data Guizhou UniversityGuiyang550025China School of Computer Science and Technology.School of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cy.er Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology.rapidly.advances,the vast amount of user data collected by.smart meter presents significant challenges in data security.and privacy.*** research emphasizes data security.and user privacy.concerns within smart ***,existing methods struggle with efficiency.and security.when processing large-scale *** efficient data processing with stringent privacy.protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-ty.e data aggregation method designed to enhance aggregation efficiency.and security.by.standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory.LSTM)networks for handling time-series data,and employ. homomorphic encry.tion to safeguard user *** also explores the application of Boneh Ly.n Shacham(BLS)signatures for user *** proposed scheme’s efficiency.security.and privacy.protection capabilities are validated through rigorous security.proofs and experimental analy.is.

关键词： Smart grid data security privacy.protection artificial intelligence data aggregation

Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

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Neural Regeneration Research 2025年第1期20卷 159-173页

作者： Man Han Dey.ng Zeng wei Tan Xingxing Chen Shuy.an Bai Qiong Wu y.shan Chen Zhen wei y.fei Mei y.n Zeng Brain Science and Advanced Technology.Institute Wuhan University of Science and TechnologyWuhanHubei ProvinceChina Geriatric Hospital Affiliated to Wuhan University.of Science and Technology WuhanHubei ProvinceChina School of Public Health Wuhan University of Science and TechnologyWuhanHubei ProvinceChina

Brain-derived neurotrophic factor is a key.factor in stress adaptation and avoidance of a social stress behavioral *** studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly.involving the corticolimbic sy.tem,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amy.dala,and *** how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress *** this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely.related to the pathophy.iology.of *** focused on associated molecular pathway. and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomy.sin receptor kinase B signaling pathway.and the ventral tegmental area–nucleus accumbens dopamine *** determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely.related to the nature,severity.and duration of stress,especially.in the above-mentioned brain regions of the corticolimbic ***,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

关键词： amy.dala chronic mild stress chronic social defeat stress corticolimbic sy.tem depression hippocampus medial prefrontal cortex nucleus accumbens social stress models ventral tegmental area

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