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PET Molecular Imaging of the Endocannabinoid System in Psychiatric Disorders 认领 引用 被引量：1
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作者 Chunyi Cui Xiaofeng Dou +7 位作者 Peili Cen Chentao Jin Jing Wang Jiaqi Niu Chenxi Xue Mei Tian Hong Zhang Yan Zhong 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第2期419-438,共20页
Psychiatric disorders have emerged as significant contributors to the global burden of disease in recent decades.The endocannabinoid system(ECS)influences a range of physiological and pathophysiological processes,incl... Psychiatric disorders have emerged as significant contributors to the global burden of disease in recent decades.The endocannabinoid system(ECS)influences a range of physiological and pathophysiological processes,including nociception,cognition,appetite,memory,and behavior,serving as a crucial mediator in psychiatric disorders.Imaging the ECS provides valuable insights into the pathophysiological mechanisms underlying psychiatric disorders and enhances clinical management strategies.As an advanced noninvasive molecular imaging modality,positron emission tomography(PET)enables the in vivo exploration of biological processes at the cellular and molecular levels.Recent advancements have led to the development of numerous PET tracers that target various components of the ECS,offering opportunities to visualize,characterize,and quantify ECS activity in psychiatric disorders in vivo.In this review,we summarize the existing PET tracers for ECS imaging and discuss their applications in diverse psychiatric conditions,including cannabis use disorder,alcohol use disorder,post-traumatic stress disorder,schizophrenia,and eating disorders. 展开更多
关键词 Positron emission tomography(PET).Psychiatric disorders Cannabinoid receptors Fatty acid amide hydrolase Monoacylglycerol lipase
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A CoSe2-integrated bilayer carbon sulfur host enabling confinement-adsorption-catalysis in flexible lithium-sulfur batteries 认领 引用
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作者 Yonghui XIE Shuyu LIAO +2 位作者 Wenrui ZHENG Hong ZHANG Xinghui WANG 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2026年第7期159-168,共10页
The commercialisation of flexible lithium-sulfur batteries suffers from several intrinsic issues,including the insulating nature of sulfur,the shuttle effect of lithium polysulfides(LiPSs),and sluggish redox kinetics ... The commercialisation of flexible lithium-sulfur batteries suffers from several intrinsic issues,including the insulating nature of sulfur,the shuttle effect of lithium polysulfides(LiPSs),and sluggish redox kinetics processes.Herein,we developed a CoSe2-modified bilayer carbon-structured sulfur host that integrates the functions of“confinement-adsorptioncatalysis”.The inner carbon framework layer is composed of a three-dimensional conductive hybrid network formed by CoSe2 nanoparticles integrated with interconnected carbon nanotubes,facilitating rapid electron/ion transport while alleviating sulfur volume expansion during cycling.The homogeneously distributed CoSe2 particles function as robust chemisorption and electrocatalytic centers,effectively trapping LiPSs and promoting their rapid redox reactions.Meanwhile,the outer micronscale graphene nanoflower carbon layer provides robust physical confinement,preventing the outward diffusion of soluble LiPSs and thereby inhibiting shuttle effects.As a result,owing to this“confinement-adsorption-catalysis”synergistic effect,the CoSe2/CNT@GF-S achieves a significant discharge capacity of 1086 mAh g-1 at 2 C,and even under sulfur loadings of 5.1 and 8.1 mg cm-2,the cathode maintains high average areal capacities at 0.1 C,achieving 5 mAh cm-2 for 100 cycles and 7.9 mAh cm-2 for 50 cycles,respectively.Thus,this rational bilayer carbon structural design is an effective strategy for fabricating cathodes for high-performance flexible lithium-sulfur batteries. 展开更多
关键词 bilayer carbon metal selenide confinement adsorption catalysis lithium-sulfur batteries
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Selenocystine-based fluorescence assay combined with structural prediction for functional analysis of cystine transporter variants in cystinuria 认领 引用
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作者 Xiaobai HE Xinyi QIAN +7 位作者 Xiaoguang ZHENG Hong ZHANG Jinbang SHAO Xiaopan CHEN Qi RUAN Jianxin LYU Leixiang YANG Linjie CHEN 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2026年第7期806-816,I0040-I0043,共11页
Objective:Cystine stones account for 1%-2%of adult and up to 10%of pediatric kidney stones.They result from cystinuria,an autosomal recessive disorder caused by mutations in solute carrier family 3 member 1(SLC3A1)and... Objective:Cystine stones account for 1%-2%of adult and up to 10%of pediatric kidney stones.They result from cystinuria,an autosomal recessive disorder caused by mutations in solute carrier family 3 member 1(SLC3A1)and SLC7A9,which encode the renal cystine transporter subunits.These mutations impair cystine reabsorption,raising urinary cystine levels and driving stone formation.Current diagnostic options remain limited in terms of detecting molecular dysfunctions.Thus,we aimed to develop a nonradioactive,cell-based method for the functional assessment of cystine transporters and mutation-specific pathologies.Methods:Using human embryonic kidney 293(HEK293)cells transiently co-expressing wild-type or mutant SLC3A1 and SLC7A9,we developed an integrated approach that combined a selenocystine-based fluorescence uptake assay with AlphaFold3-based structural predictions to rapidly and accurately assess cystine transporter function and the molecular impact of genetic mutations.Results:The affinity of the SLC3A1/SLC7A9 complex was comparably apparent for selenocystine(Michaelis constant Km=(156.3±24.2)μmol/L)and cystine(literature Km approximately 200μmol/L).Using operational thresholds(mild>60%,moderate 20%-60%,severe<20% residual activity),the assay differentiated the functional impacts of eight clinically characterized variants,including SLC7A9 A70V,A182T,G105R,R333W,V170M,A354T,and P482L,and SLC3A1 M467T,with categorical assignments consistent with previously published radioisotope-based functional data.AlphaFold3 modeling,combined with molecular docking,provides mechanistic interpretations of the dysfunction observed in the P482L and A354T mutants.Conclusions:The integrated approach employed in this work,which combines a sensitive selenocystine fluorescence assay with artificial intelligence(AI)-powered structural analysis,enables the rapid,precise diagnosis of cystinuria variants.This platform is compatible with standard microplate-reader infrastructure and offers potential utility in variant-interpretation pipelines and future genotype-guided therapeutic decision-making,pending prospective clinical validation. 展开更多
关键词 Cystinuria SLC3A1 SLC7A9 Selenocystine Diagnosis Mutation
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Optimizing a multimedia model to assess the differential roles of crops and natural vegetation in the fate of PAHs 认领 引用
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作者 Chao Su Danfeng Zheng +7 位作者 Wenlei Chen Kifayatullah Khan Hong Zhang Shuai Song Ruoyu Liang Xiaoyu Zhang Yong Liu Xianghui Cao 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第1期413-423,共11页
Vegetation plays an important role in the environmental transport behavior of organic pollutants,however,the different roles of crops and natural vegetation have been ignored in most previous studies.In this study,we ... Vegetation plays an important role in the environmental transport behavior of organic pollutants,however,the different roles of crops and natural vegetation have been ignored in most previous studies.In this study,we developed the BETR-Urban-Rural-Veg model to quantitatively evaluate the influences of both natural vegetation and crops on the multimedia transport processes of Phenanthrene(PHE)and Benzo(a)pyrene(BaP)in mainland of China.The geographic distribution of polycyclic aromatic hydrocarbon(PAH)emissions and concentrations were consistent,displaying higher levels in northern China while lower levels in southern China.Under seasonal simulations,for both natural vegetation and crops,PAH concentrations in winter and spring were 1.5 to 27-fold higher than in summer and autumn,especially for PHE.Owing to the higher leaf area index(LAI)of natural vegetation and harvesting of crops,the filter and sequestration effect of natural vegetation was stronger than crops,while the seasonal changes of PAH concentrations in crops were more significant than natural vegetation.Temperature,precipitation rates and LAI might have important influences on seasonal concentrations and overall persistence of PAHs.PHE was more sensitive to the impacts of seasonal environmental parameters.Under different landscape scenarios,average annual PAH concentrations in natural vegetation were always a little higher than those in crops,and the overall persistence of BaP was greatly affected increasing by 15.15%-16.47%.This improved model provides a useful tool for environmental management.The results of this study are expected to support land use plans and decision-making in China's mainland. 展开更多
关键词 Multimedia fate model Natural vegetation Crops Seasonal variabilities Landscape scenarios
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Machine learning-assisted optimization of dual-passivation layer for high-efficiency and stable c-Si solar cells 认领 引用
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作者 Wanyu Lu Qian Kang +7 位作者 Yin Wang Jingjie Li Shaopeng Chen Linfeng Yang Qinghua Zeng Hong Zhang Yongzhe Zhang Hui Yan 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第7期726-734,I0017,共9页
The a-Si:H(i)/MoOx passivated contact structure demonstrates significant advantages in compound crystalline silicon(c-Si)heterojunction solar cells.However,the interdiffusion of interfacial hydrogen(H)and oxygen(O)... The a-Si:H(i)/MoOx passivated contact structure demonstrates significant advantages in compound crystalline silicon(c-Si)heterojunction solar cells.However,the interdiffusion of interfacial hydrogen(H)and oxygen(O)atoms induces passivation degradation and device instability,which severely limits its practical application.To address this challenge,this study introduces an innovative approach by incorporating a SiOx interlayer between a-Si:H(i)and MoOx,proposing an a-Si:H(i)/SiOx dual-passivation structure.Moving beyond traditional optimization paradigms,this work integrates machine learning-assisted analysis with experimental verification to uncover the underlying mechanisms by which critical process parameters affect solar cell performance,leading to the precise identification of optimal fabrication parameters for the SiOx layer.This structure effectively mitigates interfacial element interdiffusion,resulting in a significant increase in the work function(WF)of MoOx from 4.91 to 5.05 eV,an enhancement of minority carrier lifetime(τeff)from 2.4 to 3.9 ms,and achieving a pseudo fill factor(pFF)of86.16%.The optimized solar cell demonstrates record-breaking performance,with a fill factor(FF)of84.68%,an open-circuit voltage(VOC)of 743.4 mV,and a final power conversion efficiency(PCE)of24.45%.This work achieves a record efficiency for compound c-Si heterojunction solar cells while simultaneously optimizing both chemical and field-effect passivation and substantially improving device stability in ambient air. 展开更多
关键词 Passivating selective contacts Stability Compound crystalline silicon heterojunction solar cell Power conversion efficiency Machine learning
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High-altitude exposure remodels the gut microbiota:health and disease 认领 引用
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作者 Yan Li Mingshan Jiang +7 位作者 Jiangmei Pang Chunxiang Ma Hong Zhang Fang Yin Yongbin Jia Xiang Zou Tao Zuo Hu Zhang 《MedScience》 SCIE CAS CSCD 2026年第1期120-146,共27页
With the increasing number of individuals travelling to or residing in high-altitude regions,understanding the physiological and pathological consequences of such environments has become increasingly important.High-al... With the increasing number of individuals travelling to or residing in high-altitude regions,understanding the physiological and pathological consequences of such environments has become increasingly important.High-altitude exposure poses significant challenges to human health,primarily due to hypobaric hypoxia,which triggers a cascade of responses,including energy deficiency,oxidative stress,and inflammation.One of the critical consequences is the disruption of the gut barrier,which facilitates the translocation of the gut microbiota and further exacerbates local and systemic inflammation.Notably,the gut microbiota,a dynamic environmental sensor,undergoes significant remodelling in high-altitude environments.The modified production of microbial metabolites such as bile acids influences gut homeostasis as well as glucose and lipid metabolism,and ultimately contributes to individual variability in high-altitude acclimatization.These changes have been implicated in the pathogenesis of altitude-related illnesses such as acute and chronic mountain sickness,as well as in metabolic and gastrointestinal disorders such as diabetes,obesity,irritable bowel syndrome,colorectal cancer,cholelithiasis,and osteoporosis.Preliminary explorations have demonstrated the therapeutic potential of microbiome-based interventions such as faecal microbiota transplantation in acute and chronic mountain sickness.Further research into gut microbiota modulation may provide applicable options for promoting highaltitude acclimatization and preventing high-altitude illness. 展开更多
关键词 gut microbiota hypoxia gut barrier acclimatization mountain sickness
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Environmental aquatic chemistry in the Research Center for Eco-Environmental Sciences:Efforts for cleaner water 认领 引用
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作者 Gang Liu Meng Sun +18 位作者 Weijun Zhang Deyin Hou Hong Zhang Yaohui Bai Wei An Chao Liu Wenzheng Yu Tao Zhang Fubo Luan Jinmiao Zha Xianjia Peng Xu Zhao Baoyou Shi Mei Ma Jun Wang Guibing Zhu Chengzhi Hu Min Yang Jiuhui Qu 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第3期46-55,共10页
Water research investigates the composition,dynamics,and interactions of aquatic systems under natural and anthropogenic influences,providing a scientific foundation for water resource utilization,pollution control,an... Water research investigates the composition,dynamics,and interactions of aquatic systems under natural and anthropogenic influences,providing a scientific foundation for water resource utilization,pollution control,and sustainable management.This review highlights the pivotal contributions of the Research Center for EcoEnvironmental Sciences(RCEES),Chinese Academy of Sciences,to advancing water science.Over decades,RCEES has spearheaded innovative research in water quality assessment,pollution remediation,and aquatic ecosystem restoration.Breakthroughs have been achieved in key areas,including the identification and transformation of emerging contaminants,development of advanced water treatment technologies,and risk assessment of waterborne pollutants.Recent research has expanded into cutting-edge topics such as the ecological impacts of emerging contaminants in aquatic environments,and climate-resilient water management strategies.The Key Laboratory of Environmental Aquatic Chemistry at RCEES has made significant contributions to both national and international water issues.Moving forward,RCEES is driving innovations in AI-associated water systems,nature-based solutions for water purification,and climate resilient water resource management.By bridging fundamental research with policy-driven applications,RCEES continues to shape the future of water science,contributing to both scientific progress and sustainable water governance in China and beyond. 展开更多
关键词 Water science Drinking water safety Wastewater treatment Water ecology AI-driven water systems
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Improving the Electrochemical Properties of SiOx/Graphite Anode for High-Performance Lithium-Ion Batteries by Ultrathin Lithium Film Prelithiation 认领 引用
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作者 Wan-Xing Zhang Jia-Jun Wang +12 位作者 Jin-Yang Li Ya-Jun Hou He Huang Qiu-Jiang Dong Wan-Yao Li Hao Guo Hong Zhang Zhao-Yong Sun Qiang Chen Ying Chen Xiao-Peng Han Yi-Da Deng Wen-Bin Hu 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期382-393,共12页
High-capacity SiOx/graphite(SiO/G)anodes offer great potential for advancing lithium-ion battery technology;however,their practical application is limited by low initial coulombic efficiency(ICE)and rapid capacity ... High-capacity SiOx/graphite(SiO/G)anodes offer great potential for advancing lithium-ion battery technology;however,their practical application is limited by low initial coulombic efficiency(ICE)and rapid capacity decay.These challenges primarily arise from unstable phase transitions and the formation of the solid electrolyte interphase(SEI).Prelithiation strategies that aimed at compensating lithium loss have emerged as an effective solution,showing significant advancements in both anode and cathode research.Nevertheless,the interfacial evolution and mechanisms underlying performance enhancement remain unclear.In this work,we demonstrate roll-to-roll contact prelithiation of SiO/G anodes using an ultrathin lithium film,resulting in improved ICE,cycling stability,and rate capability.The contact prelithiation mechanism of silicon-based anodes was investigated via a combination of in situ and ex situ characterizations alongside electrochemical analyses.These studies reveal that the formation of SEI contains multiple lithium silicate phases during the first cycle of prelithiation.This SEI exhibits enhanced conductivity and stability,which contribute to improved cycling performance and rate capability of the prelithiated anode.The prelithiated silicon-carbon composite anode achieved an ICE of 96%in 5.4 Ah pouch cell tests and demonstrated excellent capacity retention of 74%after 500 cycles.This study not only elucidates the critical role of interfacial evolution in SiOx/graphite anodes but also proposes a rational strategy based on phase-phase interface synergistic design for developing durable,highperformance silicon-based anodes suitable for next-generation lithium-ion batteries. 展开更多
关键词 contact prelithiation lithium-ion batteries SiOx/graphite anodes solid electrolyte interphase
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Versatile interfacial modifier enabling efficient antimony selenosulfide indoor photovoltaics 认领 引用
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作者 Ming Wang Weijia Zhao +6 位作者 Xin Yao Zhirui Wang Qi Gao Hong Zhang Fuling Guo Yanqing Wang Wangchao Chen 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期147-153,共7页
Antimony selenosulfide(Sb2(S,Se)3)is a promising photovoltaic absorber material for both outdoor and indoor application scenarios.Nevertheless,the performance of Sb2(S,Se)3 solar cells remains constrained ... Antimony selenosulfide(Sb2(S,Se)3)is a promising photovoltaic absorber material for both outdoor and indoor application scenarios.Nevertheless,the performance of Sb2(S,Se)3 solar cells remains constrained by the severe interface trap-induced nonradiative recombination.Interface engineering has been recognized as an effective approach to suppress recombination and boost charge transport.In this work,we introduce an organic modifier(O-BDT)between Sb2(S,Se)3 absorber and hole transport layer.The theoretical and experimental results evidence that O-BDT can simultaneously passivates interface defects and optimizes the energy-level alignment,leading to a significantly reduced voltage loss.Finally,the O-BDT modified solar cell achieves a power conversion efficiency(PCE)of 8.01%under AM 1.5G illumination.Moreover,the device delivers a PCE of 19.04% under 1000 lux,3312 K LED lighting,among the best list of IPVs based on antimony chalcogenide compounds. 展开更多
关键词 antimony selenosulfide interfacial modification indoor photovoltaics
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Distributed Iterative Learning Control for Load Balancing in Flexible AC/DC Hybrid Distribution Systems 认领 引用
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作者 Hong Zhang Bin Xu +4 位作者 Jinzhong Li Xiaoxiao Meng Cheng Qian Wei Ma Yuguang Xie 《Energy Engineering》 EI 2026年第5期298-316,共19页
The increasing integration of distributed renewable energy sources in the distribution network leads to unbalanced load rates in the distribution network.The traditional load balancing methods are mainly based on netw... The increasing integration of distributed renewable energy sources in the distribution network leads to unbalanced load rates in the distribution network.The traditional load balancing methods are mainly based on network reconfiguration,which have problems such as a long time scale and poor adaptability.In response to these issues,this paper proposes a distributed iterative learning control(ILC)strategy for load balancing in flexible AC/DC hybrid distribution systems.This method combines the consensus algorithm with the ILC mechanism to construct a multi-terminal AC/DC flexible interconnection system model.It is only necessary to measure the load rate of adjacent units without observing the overall system status,which greatly reduces complexity and enhances robustness.In this paper,a new energy photovoltaic and energy storage integrated system was built through MATLAB/Simulink simulation,and the effectiveness of the proposed strategy under normal working conditions and port faults was verified through this system.Through comparative studies with event-triggered control and traditional consensus algorithms,as well as real-time simulations on the RT-LAB simulation platform,it has been confirmed that this method has superior performance in terms of convergence speed,steady-state accuracy,and dynamic response,and has the potential to be applied in practical models.It is suitable for application in medium and low voltage distribution systems with new energy access. 展开更多
关键词 AC/DC hybrid distribution systems iterative learning algorithm load rate
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β-Galactosidase Based Molecular Imaging for Visualization of Cellular Senescence 认领 引用
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作者 Jiani Huang Peili Cen +1 位作者 Hong Zhang Yan Zhong 《iRADIOLOGY》 CSCD 2026年第1期63-65,共3页
Cellular senescence is a distinct and irreversible biological process characterized by cell cycle arrest.It can be triggered by various stressors,including DNA damage,oxidative stress,telomere dysfunction,oncogenic ac... Cellular senescence is a distinct and irreversible biological process characterized by cell cycle arrest.It can be triggered by various stressors,including DNA damage,oxidative stress,telomere dysfunction,oncogenic activation,or extensive replication as well as by physiological stimuli such as developmental and repair signals[1]. 展开更多
关键词 cellular senescence molecular imaging senescence-associatedβ-galactosidase
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Jiaohong pills attenuate neuroinflammation and amyloid-βprotein-induced cognitive deficits by modulating the mitogen-activated protein kinase/nuclear factor kappa-B pathway 认领 引用 被引量：3
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作者 Hong Zhang Weiyan Cai +9 位作者 Lijinchuan Dong Qing Yang Qi Li Qingsen Ran Li Liu Yajie Wang Yujie Li Xiaogang Weng Xiaoxin Zhu Ying Chen 《Animal Models and Experimental Medicine》 CAS CSCD 2024年第3期222-233,共12页
Background:Jiaohong pills(JHP)consist of Pericarpium Zanthoxyli(PZ)and Radix Rehmanniae,two herbs that have been extensively investigated over many years due to their potential protective effects against cognitive dec... Background:Jiaohong pills(JHP)consist of Pericarpium Zanthoxyli(PZ)and Radix Rehmanniae,two herbs that have been extensively investigated over many years due to their potential protective effects against cognitive decline and memory impairment.However,the precise mechanisms underlying the beneficial effects remain elusive.Here,research studies were conducted to investigate and validate the therapeutic effects of JHP on Alzheimer's disease.Methods:BV-2 cell inflammation was induced by lipopolysaccharide.AD mice were administered amyloid-β(Aβ).Behavioral experiments were used to evaluate learning and memory ability.The levels of nitric oxide(NO),tumor necrosis factor-alpha(TNF-α),interleukin-1β(IL-1β),and interleukin-10(IL-10)were detected using enzymelinked immunosorbent assay(ELISA).The protein expressions of inducible nitric oxide synthase(iNOS)and the phosphorylation level of mitogen-activated protein kinase(MAPK)and nuclear factor kappa-B(NF-κB)were detected using Western blot.Nissl staining was used to detect neuronal degeneration.Results:The results demonstrated that an alcoholic extract of PZ significantly decreased the levels of NO,IL-1β,TNF-α,and iNOS;increased the expression level of IL-10;and significantly decreased the phosphorylation levels of MAPK and NF-κB.These inhibitory effects were further confirmed in the AD mouse model.Meanwhile,JHP improved learning and memory function in AD mice,reduced neuronal damage,and enriched the Nissl bodies in the hippocampus.Moreover,IL-1βand TNF-αin the cortex were significantly downregulated after JHP administration,whereas IL-10showed increased expression.Conclusions:It was found that JHP reduced neuroinflammatory response in AD mice by targeting the MAPK/NF-κB signaling pathway. 展开更多
关键词 amyloid-β(Aβ)protein BV2 neuroinflammation Pericarpium Zanthoxyli Radix Rehmanniae
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Photochemistry regulated fluorescent dyes for real-time tracing subcellular migration in living cells 认领 引用
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作者 Ao Wang Ding-Heng Zhou +6 位作者 Hong Zhang Xing Zeng Nan Wang Ming-Yu Wu Xiao-Qi Yu Kun Li Shan-Yong Chen 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第3期595-600,共6页
Probes that can undergo photoconversion in situ within cells are advantageous tools for live cell imaging in terms of precise spatial and temporal control.We herein present a new concept to construct photoconvertible ... Probes that can undergo photoconversion in situ within cells are advantageous tools for live cell imaging in terms of precise spatial and temporal control.We herein present a new concept to construct photoconvertible probes based on intramolecular oxygen direct arylation within cells.Xanthones bearing aryls(XO-Ars)were designed and prepared.XO-Ars undergo oxygen direct arylation under visible light irradiation in cells to afford xanthene derivatives(XE-Ars).XO-Ars initially accumulate in the endoplasmic reticulum(ER)with green emission and then migrate to the mitochondria with bright red emission.Sequential single-cell lighting up experiments show high spatiotemporal control ability and utility in single or multi-cell tracking.In addition,the photoproducts irradiated with optimized wavelength light source show excellent photodynamic therapy effects.As the duration of light exposure increases,the cells begin to undergo apoptosis.These innovative photoconvertible probes capable of migrating from ER to mitochondria driven by light provide a feasible approach for the in-situ monitoring of subcellular physiological events and cell apoptosis. 展开更多
关键词 Xanthone Dual-color fluorescence Photoconvertible probes Oxygen direct arylation Multiple subcellular organelles imaging
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Exposing Zn(002)Texture with Sucralose Additive for Stable and Dendrite-Free Aqueous Zinc-Ion Batteries 认领 引用
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作者 Feiyu Tao Yingke Ren +9 位作者 Li’e Mo Yifan Wang Yang Huang Hong Zhang Chengwu Shi Zhaoqian Li Jiaqin Liu Lei Chen Linhua Hu Yucheng Wu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第4期40-53,共14页
Aqueous zinc-ion batteries(AZIBs)are currently confronted with the challenge of achieving long-term cyclic stability under high current densities.This issue is primarily attributed to the excessive growth of dendrites... Aqueous zinc-ion batteries(AZIBs)are currently confronted with the challenge of achieving long-term cyclic stability under high current densities.This issue is primarily attributed to the excessive growth of dendrites and the occurrence of significant side reactions.Herein,sucralose(SCL),as an electrolyte additive,has been used to promote the exposure of the Zn(002)texture.The introduction of SCL can adjust the Zn~(2+)nucleation and diffusion along different crystal facets,promoting the exposure of the Zn(002)texture.By substituting water molecules in the[Zn(H2O)6]~(2+),SCL reconfigures the hydrogen bond network in the electrolyte,reconstructing the solvation structure and suppressing the hydrogen evolution reaction.Consequently,the Zn//Zn symmetric battery exhibits long-term cycling stability of over 4900 h at 1 mA cm-2-1 mAh cm-2.Even at a harsh condition of 30 mA cm-2-30 mAh cm-2(DOD=73.3%),it can stably cycle for 171 h.The CE of the Zn//Cu half battery reaches 99.61% at 0.2 mA cm-2with 0.2 mAh cm-2.Employing the optimized electrolyte,after 500 cycles,a high specific capacity of 420 mAh g-1can be retained for the NH_4V_4O10//Zn full battery at 500 mA g-1,corresponding to a capacity retention of 90.7%. 展开更多
关键词 Aqueous zinc-ion batteries Zinc anode Oriented growth (002)texture
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3D Single Object Tracking in Point Clouds: A Review 认领 引用
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作者 Yihao Kuang Hong Zhang +2 位作者 Jiaqi Wang Lingyu Jin Bo Huang 《Computers, Materials & Continua》 SCIE EI 2026年第6期118-142,共25页
3D single object tracking(SOT)based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding in robotics.Recent technological advancements in this field ... 3D single object tracking(SOT)based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding in robotics.Recent technological advancements in this field have significantly bolstered the environmental interaction capabilities of intelligent systems.This field faces persistent challenges,including feature degradation induced by point cloud sparsity,representation drift caused by non-rigid deformation,and occlusion in complex scenarios.Traditional appearance matching methods,particularly those relying on Siamese networks,are severely constrained by point cloud characteristics,often failing under rapid motions or structural ambiguities among similar objects.In response,the research paradigm has progressively evolved toward motion-centric modeling approaches.These emerging frameworks utilize spatio-temporal joint modeling and geometric shape completion to attain notable performance gains.Furthermore,the incorporation of attention mechanisms and State Space Model(SSM)has enabled more effective multi-scale spatio-temporal feature association,which is particularly beneficial for long-term tracking scenarios.To the best of our knowledge,this is the first comprehensive survey dedicated to 3D single object tracking in point clouds.We provide a detailed analysis of current tracking methods,scrutinizing their limitations regarding multi-object interference and analyzing the trade-off between accuracy and computational efficiency.Finally,we discuss potential future directions,including the development of lightweight models for edge deployment and the integration of cross-modal fusion strategies. 展开更多
关键词 Point cloud 3D single object tracking autonomous driving sparsity spatio-temporal feature
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Cross-Tolerance in a Changing Climate:Physiological Responses to Combined Abiotic Stress 认领 引用
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作者 Damilola Olofintuyi Ayesha Siddika +2 位作者 Abdollah Monfared Hong Zhang Jennifer Smith 《Phyton-International Journal of Experimental Botany》 SCIE 2026年第4期1-24,共24页
Climate change is increasing the frequency and intensity of overlapping abiotic stresses,making cross-tolerance a critical component of plant resilience.While single stress responses have been extensively characterize... Climate change is increasing the frequency and intensity of overlapping abiotic stresses,making cross-tolerance a critical component of plant resilience.While single stress responses have been extensively characterized,plants in natural and agricultural environments frequently encounter simultaneous or sequential stresses such as drought-heat,light-drought,and drought-salinity,which trigger nonadditive and often unpredictable physiological outcomes that vary with stress intensity,timing,and species.This review synthesizes current understanding of the mechanisms underlying cross-tolerance,emphasizing how contradictory signals,stress timing,and physiological integration shape plant responses under combined stress.We highlight how stomatal regulation,leaf energy balance,hydraulic function,and photosynthetic processes,including PSII stability and Rubisco activase activity,interact to determine stress vulnerability.At the biochemical level,osmotic adjustment,redox buffering,and hormone-mediated signaling networks reprogram metabolism so that the plant allocates resources to protection and damage repair rather than to just growth.We further discuss how stress memory,priming,and shared signaling pathways such as reactive oxygen species,abscisic acid,and mitogen-activated protein kinase cascades contribute to enhanced tolerance across stress types.Finally,we examine the implications of cross-tolerance for crop improvement,including breeding strategies,genomic selection,genome editing,and emerging technologies such as nanopriming and high-throughput phenotyping.Bridging the gap between controlled environment studies and field performance remains a major challenge,underscoring the need for multi-stress field trials and integrative breeding pipelines.Together,these insights provide a framework for developing climate-resilient crops capable of withstanding the complex stress environments of future agriculture. 展开更多
关键词 Reactive oxygen species stress memory osmotic adjustment physiological changes redox homeostasis multi-stress breeding
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Video frame interpolation based on invertible neural network for Internet of things 认领 引用
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作者 Lingfan Wu Keyuan Ye +2 位作者 Huan Gao Huchen Jiang Hong Zhang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第3期540-549,共10页
Video frame interpolation focuses on directly synthesizing intermediate frames by utilizing inter-frame changes,relying heavily on large,high-frame-rate video datasets for supervised training,which imposes significant... Video frame interpolation focuses on directly synthesizing intermediate frames by utilizing inter-frame changes,relying heavily on large,high-frame-rate video datasets for supervised training,which imposes significant demands on bandwidth and computational resources in the Internet of Everything(IoE)environments.Since video frame rate down and up conversion are inverse processes,an Invertible Neural Network(INN)provides an efficient solution by ensuring lossless and symmetrical information transfer in forward and backward processes.This paper introduces a self-supervised video frame rate conversion method based on an INN to reconstruct missing intermediate frames.By leveraging an invertible coupling structure,the model encodes the spatiotemporal features of sparse input frames into a Gaussian distribution,which effectively simulates the frame rate downsampling process.Through the network’s invertibility and lossless processing capabilities,the intermediate frames are then reconstructed through reverse inference.This approach captures missing information from a Gaussian prior,ensuring stability and realism in the generated frames.Extensive experiments on public video datasets show that the proposed method surpasses existing state-of-the-art algorithms in accuracy and efficiency,offering superior visual quality,faster processing speeds,and reduced model parameters,especially for highframe-rate recovery. 展开更多
关键词 Video frame interpolation Deep learning Invertible neural network
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Clinical features and prognosis of orbital inflammatory myofibroblastic tumor 认领 引用
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作者 Jing Li Liang-Yuan Xu +9 位作者 Nan Wang Rui Liu Shan-Feng Zhao Ting-Ting Ren Qi-Han Guo Bin Zhang Hong Zhang Hai-Han Yan Yu-Fei Zhang Jian-Min Ma 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2026年第1期105-114,共10页
AIM:To investigate the clinical features and prognosis of patients with orbital inflammatory myofibroblastic tumor(IMT).METHODS:This retrospective study collected clinical data from 22 patients diagnosed with orbital ... AIM:To investigate the clinical features and prognosis of patients with orbital inflammatory myofibroblastic tumor(IMT).METHODS:This retrospective study collected clinical data from 22 patients diagnosed with orbital IMT based on histopathological examination.The patients were followed up to assess their prognosis.Clinical data from patients,including age,gender,course of disease,past medical history,primary symptoms,ophthalmologic examination findings,general condition,as well as imaging,laboratory,histopathological,and immunohistochemical results from digital records were collected.Orbital magnetic resonance imaging(MRI)and(or)computed tomography(CT)scans were performed to assess bone destruction of the mass,invasion of surrounding tissues,and any inflammatory changes in periorbital areas.RESULTS:The mean age of patients with orbital IMT was 28.24±3.30y,with a male-to-female ratio of 1.2:1.Main clinical manifestations were proptosis,blurred vision,palpable mass,and pain.Bone destruction and surrounding tissue invasion occurred in 72.73%and 54.55%of cases,respectively.Inflammatory changes in the periorbital site were observed in 77.27%of the patients.Hematoxylin and eosin staining showed proliferation of fibroblasts and myofibroblasts,accompanied by infiltration of lymphocytes and plasma cells.Immunohistochemical staining revealed that smooth muscle actin(SMA)and vimentin were positive in 100%of cases,while anaplastic lymphoma kinase(ALK)showed positivity in 47.37%.The recurrence rate of orbital IMT was 27.27%,and sarcomatous degeneration could occur.There were no significant correlations between recurrence and factors such as age,gender,laterality,duration of the disease,periorbital tissue invasion,bone destruction,periorbital inflammation,tumor size,fever,leukocytosis,or treatment(P>0.05).However,lymphadenopathy and a Ki-67 index of 10%or higher may be risk factors for recurrence(P=0.046;P=0.023).CONCLUSION:Orbital IMT is a locally invasive disease that may recur or lead to sarcomatoid degeneration,primarily affecting young and middle-aged patients.The presence of lymphadenopathy and a Ki-67 index of 10%or higher may signify a poor prognosis. 展开更多
关键词 inflammatory myofibroblastic tumor orbital disease clinical features prognosis
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Exosomes derived from kiwifruit increase the mitochondrial function of browning adipose tissue and exert anti-obesity activity 认领 引用
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作者 Chengxun He Xiaohui Guo +4 位作者 Die Qian Juan Guo Hong Zhang Li Ai Wei Jin 《Food Science and Human Wellness》 SCIE CAS CSCD 2026年第7期3181-3194,共14页
Obesity has become a global health problem and has received much attention worldwide.Promoting or increasing the energy expenditure function of browning adipose tissue(BAT)is believed to be an effective strategy for t... Obesity has become a global health problem and has received much attention worldwide.Promoting or increasing the energy expenditure function of browning adipose tissue(BAT)is believed to be an effective strategy for treating obesity.Exosome-like nanovesicles(EMs)derived from plants are considered important natural active substances with various pharmacological activities.Furthermore,EMs are safe,biocompatible and biodegradable and are easy to prepare in large quantities.In this study,EMs of kiwifruit(Actinidia chinensis)(KEMs)were successfully extracted and showed significant anti-obesity activity.Further study revealed that KEM treatment inhibited the degeneration of BAT and increased the expression of the uncoupling protein(UCP)1 protein and genes in obese mice.In addition,on the basis of in vivo and in vitro experiments,we also found that KEMs increased the function and contents of mitochondria in BAT.These results indicate that KEMs can suppress BAT degradation caused by obesity and increase energy consumption in obese mice to exert anti-obesity effects.Finally,no obvious toxicity to the liver,kidneys,heart,spleen or lungs was observed in KEM-treated mice in vivo.Overall,this study is the first report regarding the anti-obesity activity of KEMs,which is a potential natural treatment for obesity with high safety. 展开更多
关键词 Browning adipose tissue Uncoupling protein 1 Obesity Exosome-like nanovesicles Kiwifruit(Actinidia chinensis)
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Optimized Industrial Surface Defect Detection Based on Improved YOLOv11 认领 引用
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作者 Hua-Qin Wu Hao Yan +3 位作者 Hong Zhang Shun-Wu Xu Feng-Yu Gao Zhao-Wen Chen 《Structural Durability & Health Monitoring》 EI 2026年第1期268-282,共15页
In industrial manufacturing,efficient surface defect detection is crucial for ensuring product quality and production safety.Traditional inspectionmethods are often slow,subjective,and prone to errors,while classicalm... In industrial manufacturing,efficient surface defect detection is crucial for ensuring product quality and production safety.Traditional inspectionmethods are often slow,subjective,and prone to errors,while classicalmachine vision techniques strugglewith complex backgrounds and small defects.To address these challenges,this study proposes an improved YOLOv11 model for detecting defects on hot-rolled steel strips using the NEU-DET dataset.Three key improvements are introduced in the proposed model.First,a lightweight Guided Attention Feature Module(GAFM)is incorporated to enhance multi-scale feature fusion,allowing the model to better capture and integrate semantic and spatial information across different layers,which improves its ability to detect defects of varying sizes.Second,an Aggregated Attention(AA)mechanism is employed to strengthen the representation of critical defect features while effectively suppressing irrelevant background information,particularly enhancing the detection of small,low-contrast,or complex defects.Third,Ghost Dynamic Convolution(GDC)is applied to reduce computational cost by generating low-cost ghost features and dynamically reweighting convolutional kernels,enabling faster inference without sacrificing feature quality or detection accuracy.Extensive experiments demonstrate that the proposed model achieves a mean Average Precision(mAP)of 87.2%,compared to 81.5%for the baseline,while lowering computational cost from6.3Giga Floating-point Operations Per Second(GFLOPs)to 5.1 GFLOPs.These results indicate that the improved YOLOv11 is both accurate and computationally efficient,making it suitable for real-time industrial surface defect detection and contributing to the development of practical,high-performance inspection systems. 展开更多
关键词 YOLOv11 object detection industrial surface defect NEU-DET
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