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The study of skin effect in pEM fuel cells

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The study of skin effect in PEM fuel cells

Degradation behaviors of polymer electrolyte membrane fuel cell under freeze/thaw cycles

第九届全国氢能学术会议

作者： z.p.luo,z.Liu,z.Y.Chang,z.G.zhan Wuhan University of Technology,China

＜正＞The major obstacles for the polymer electrolyte membrane（pEM） fuel cell commercialization are the *** during the dynamic status,attenuation of cell performance becomes *** this paper,Maxwell theory is used to analyze current density distribution in fuel *** this theory,we demonstrate that when the cell works at

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Degradation behaviors of polymer electrolyte membrane fuel c...

The study of electro-osmotic drag of water within Nafion membrane in pEM fuel cells

第九届全国氢能学术会议

作者： M.J.luo,C.Y.Huang,z.p.luo,M.pan Wuhan University of Technology,China

＜正＞Degradation behaviors of polymer electrolyte membrane fuel cell（pEMFC） in high current density region were investigated under Freeze/Thaw cycles in this *** dehumidification scenarios namely hot purge,cold purge and no purge were adopted for *** curves and power density curves were utilized to compare the cell

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The study of electro-osmotic drag of water within Nafion mem...

Discovering causal models for structural,construction and defense-related engineering phenomena

第九届全国氢能学术会议

作者： z.p.luo~1,z.Y.Chang~(1,2),z.Liu~1,J.Li~1 1 Wuhan University of Technology,China 2 JiuJiang University,China

＜正＞Electro-osmotic drag transport of water in proton exchange membrane fuel cells is significantly important because it affects water management within operating cells on both a global and local *** electro-osmotic drag coefficient,which reveal magnitude of electro-osmosis in polymer electrolyte membrane,is the number of water molecules

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Defence Technology(防务技术) 2025年第1期43卷 60-79页

作者： M.z.Naser School of Civil&Environmental Engineering and Earth Sciences(SCEEES) Clemson UniversityClemsonSouth Carolina 29634USA The Artificial Intelligence Research Institute for Science and Engineering(AIRISE) Clemson UniversityClemsonSouth Carolina 29634USA

Causality,the science of cause and effect,has made it possible to create a new family of *** models are often referred to as causal *** those of mathematical,numerical,empirical,or machine learning(ML)nature,causal models hope to tie the cause(s)to the effect(s)pertaining to a phenomenon(i.e.,data generating process)through causal *** paper presents one of the first works at creating causal models in the area of structural and construction *** this end,this paper starts with a brief review of the principles of causality and then adopts four causal discovery algorithms,namely,pC(peter-Clark),FCI(fast causal inference),GES(greedy equivalence search),and GRa Sp(greedy relaxation of the sparsest permutation),have been used to examine four phenomena,including predicting the load-bearing capacity of axially loaded members,fire resistance of structural members,shear strength of beams,and resistance of walls against impulsive(blast)*** from this study reveal the possibility and merit of discovering complete and partial causal ***,this study also proposes two simple metrics that can help assess the performance of causal discovery algorithms.

关键词： Causality Causal discovery Directed acyclic graphs Machine learning Metrics

prioritization Hindsight Experience Based on Spatial position Attention for Robots

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Machine Intelligence Research 2025年第1期22卷 160-175页

作者： Ye Yuan Yu Sha Feixiang Sun Haofan Lu Shuiping Gou Jie luo China Nuclear power Technology Research Institute Co. Ltd.Shenzhen518028China School of Artificial Intelligence Xidian UniversityXi’an710071China Suzhou Tianhe China power International Engineering Technology Co. Ltd.Suzhou215000China

Sparse rewards pose significant challenges in deep reinforcement learning as agents struggle to learn from experiences with limited reward *** experience replay(HER)addresses this problem by creating“small goals”within a hierarchical decision ***,HER does not consider the value of different episodes for agent *** this paper,we propose SpAHER,a framework for prioritizing hindsight experiences based on spatial position *** allows the agent to prioritize more valuable experiences in a manipulation *** achieves this by calculating transition and trajectory spatial position functions to determine the value of each episode for experience *** evaluate SpAHER on eight robot manipulation tasks in the Fetch and Hand environments provided by OpenAI *** results show that our method improves the final mean success rate by an average of 3.63%compared to HER,especially in challenging Hand ***,these improvements are achieved without any increase in computation time.

关键词： Hindsight experience replay spatial position attention sparse reward deep reinforcement learning prioritization hindsight experience

Alpha-decay properties of nuclei around neutron magic numbers

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Nuclear Science and Techniques 2025年第1期36卷 140-149页

作者： Ming Li Chu-Xin Chen Lan-Fang Xiao Yi zhang Song luo Xiao-Hua Li School of Nuclear Science and Technology University of South ChinaHengyang 421001China pET‑CT Center Chenzhou First People’s HospitalChenzhou 423000China Hengyang Ecological Environment Monitor Center Hengyang 421001China China Certification and Inspection Group Hefei 230000China National Exemplary Base for International Science and Technology Collaboration of Nuclear Energy and Nuclear Safety University of South ChinaHengyang 421001China Cooperative Innovation Center for Nuclear Fuel Cycle Technology and Equipment University of South ChinaHengyang 421001China Key Laboratory of Low Dimensional Quantum Structures and Quantum Control Hunan Normal UniversityChangsha 410081China

By combining experimental α-decay energies and half-lives, the α-particle preformation factor for nuclei around neutron magic numbers N of 126, 152, and 162 were extracted using the two-potential approach. The nuclei around the shell closure were more tightly bound than adjacent nuclei. Additionally, based on the WS4 mass model (Wang et al., phys. Lett.B 734, 215 (2014)), we extended the two-potential approach to predict the α-decay half-lives of nuclei around N values of178 and 184 with z of 119 and 120. We believe that our findings will serve as guidelines for future experimental studies.

关键词： adecay preformation factor Neutron magic number Heavy and superheavy nuclei

Damage analysis caused by ^(60)Co ions in functionally graded materials

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Defence Technology(防务技术) 2025年第2期44卷 248-256页

作者： zübeyde Özkan Ugur Gökmen Sema Bilge Ocak Department of Advanced Technologies Graduate School of Natural and Applied SciencesGazi UniversityAnkara06560Turkiye Department of Metallurgical and Materials Engineering Faculty of TechnologyGazi UniversityAnkara 06560Turkiye Basic and Engineering Sciences Central Laboratory Application and Research Center Gazi UniversityAnkara 06560Turkiye

Functionally graded composite/hybrid materials(FGCM/FGHCM)were produced by adding B_(4)C,TiO_(2),and B_(4)C+TiO_(2)ceramic materials at various ratios(0-50%)into the AA6082 *** analysis of the damage caused by^(60) ions'(1.173-1.1332 MeV)on the material was examined using the SRIM/TRIM Monte Carlo simulation *** the simulation,the following data regarding the atoms of the target materials were obtained:ion distribution,target ionization,total displacements,surface binding energy,lattice binding energy,and displacement *** the studied four materials,the one with the highest ion range value was found to be AA6082 with ***_(2)was found to be the reinforcement material that reduced the ion range the most in the *** to its high binding energy,B_(4)C reinforced AA6082+(0-50%)B_(4)C FGCM was found to have the least vacancy with 4782/ion.

关键词： SRIM/TRIM Damage analysis AA6082 ^(60)Co ion

Targeting epigenetic mechanisms in amyloid-β-mediated Alzheimer’s pathophysiology:unveiling therapeutic potential

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Neural Regeneration Research 2025年第1期20卷 54-66页

作者： Jennie z.Li Nagendran Ramalingam Shaomin Li Ann Romney Center for Neurologic Diseases Brigham and Women’s Hospital and Harvard Medical SchoolBostonMAUSA

Alzheimer’s disease is a prominent chronic neurodegenerative condition characterized by a gradual decline in memory leading to *** evidence suggests that Alzheimer’s disease is associated with accumulating various amyloid-βoligomers in the brain,influenced by complex genetic and environmental *** memory and cognitive deficits observed during the prodromal and mild cognitive impairment phases of Alzheimer’s disease are believed to primarily result from synaptic *** life,environmental factors can lead to enduring changes in gene expression and the emergence of brain *** changes,known as epigenetic modifications,also play a crucial role in regulating the formation of synapses and their adaptability in response to neuronal *** this context,we highlight recent advances in understanding the roles played by key components of the epigenetic machinery,specifically DNA methylation,histone modification,and microRNAs,in the development of Alzheimer’s disease,synaptic function,and activity-dependent synaptic ***,we explore various strategies,including enriched environments,exposure to non-invasive brain stimulation,and the use of pharmacological agents,aimed at improving synaptic function and enhancing long-term potentiation,a process integral to epigenetic ***,we deliberate on the development of effective epigenetic agents and safe therapeutic approaches for managing Alzheimer’s *** suggest that addressing Alzheimer’s disease may require distinct tailored epigenetic drugs targeting different disease stages or pathways rather than relying on a single drug.

关键词： Alzheimer’s disease DNA methylation enriched environments histone modification microRNAs non-invasive brain stimulation synaptic plasticity

Transport mechanism in chemically reactive hybrid nanofluid flow containing gyrotactic micro-organisms over a curved oscillatory surface

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 177-192页

作者： M.NAVEED M.IMRAN T.ASGHAR z.ABBAS Department of Mathematics Division of Science and TechnologyUniversity of Education Department of Mathematics The Islamia University of Bahawalpur

This paper examines the transport analysis, including both heat transfer and mass transfer, in hybrid nanofluid flow containing gyrotactic microorganisms towards a curved oscillatory surface. The influence of magnetic fields is also inspected in terms of their physical characteristics. To depict the phenomena of transport, modified versions of both Fick's and Fourier's laws are used. Additionally, the characteristics of both heterogeneous and homogeneous chemical reactions are also incorporated. Utilizing a curvilinear coordinate system, the flow problem is formulated as partial differential equations(pDEs)for momentum, concentration, microorganism field, and energy. An analytical solution to the obtained flow equations is achieved utilizing the homotopy analysis method(HAM).The effects of significant flow parameters on the pressure and microorganism fields, velocity, oscillation velocity, concentration, and temperature distributions are shown via graphs. Furthermore, the variations in skin friction, mass transfer rate, heat transfer rate, and local motile number due to different involved parameters are presented in tables and are analyzed in detail. Graphical results indicate that the curves of velocity and temperature fields are enhanced as the values of the solid volume fraction variables *** is also verified that the concentration rate field decreases as the values of the homogeneous reaction strength parameter and the radius of curvature parameter increase, and it increases with the Schmidt number and the heterogeneous reaction strength *** outcomes show a favorable response of the motile number to advanced values of the peclet number, the Schmidt number, the microorganism difference parameter, and the bio-convective Lewis number.

关键词： analytical solution Cattaneo-Christov heat and mass flux chemical reaction gyrotactic microorganism hybrid nanofluid O368 oscillating curved stretchable sheet