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Phellodendron amurense Rupr.Polysaccharides protects against diabetic nephropathy via alteration of PI3K/GSK-3β/Nrf2/TGF-β/Smad signaling pathway and gut microbiota 认领 引用 被引量：1
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作者 Mei Mei Huawei Sun +3 位作者 Kai Zhang Feng Zhang Shiqing Sun Yu Zhang 《Natural Products and Bioprospecting》 CSCD 2026年第1期212-229,共18页
In this study,a diabetic nephropathy(DN)rat model was established using 2%Streptozocin(STZ)solution,and an in vitro DN model was constructed by stimulating HK-2 cells with 30 mM glucose to investigate the mecha-nism o... In this study,a diabetic nephropathy(DN)rat model was established using 2%Streptozocin(STZ)solution,and an in vitro DN model was constructed by stimulating HK-2 cells with 30 mM glucose to investigate the mecha-nism of Phellodendron amurense Rupr.Polysaccharides(PAP)in ameliorating DN.Results demonstrated that PAP,a neu-tral homogeneous polysaccharide with molecular weight of 1.98 × 105 Da composed of Rha,GalA,Gal,and D-Xyl,exerted renal protective effects through multiple pathways.It enhanced renal antioxidant capacity and alleviated oxidative damage in DN by upregulating PI3K/AKT pathway-related protein expression.Simultaneously,PAP acti-vated theTGF-β/Smad pathway via Nrf2 to mitigate renal fibrosis symptoms in DN,while inhibiting cellular apoptosis.Furthermore,PAP suppressed renal inflammation through gut microbiota reduction,thereby protecting against renal injury in DN rats.This study reveals that PAP alleviates DN symptoms by modulating gut microbiota,enhancing anti-oxidant and anti-fibrotic capacities,and inhibiting apoptotic pathways,comprehensively elucidating its multifaceted therapeutic mechanisms against DN. 展开更多
关键词 Phellodendron amurense Rupr.Polysaccharides Diabetic nephropathy Gut microbiota
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Evolutionary and ecological processes drive the global diversity of the avian family Paridae 认领 引用
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作者 Huan Wang Ping Fan +10 位作者 Tianlong Cai Kai Zhang Gang Song Yanzhu Ji Yalin Cheng Yan Hao Dezhi Zhang Lei Wu Chenxi Jia Per Alström Fumin Lei 《Avian Research》 SCIE CAS CSCD 2026年第3期775-785,共11页
Understanding how biodiversity is formed and maintained,is a key topic in both ecology and conservation biology.Both ecological and evolutionary processes jointly shape community assembly and maintain biodiversity,oft... Understanding how biodiversity is formed and maintained,is a key topic in both ecology and conservation biology.Both ecological and evolutionary processes jointly shape community assembly and maintain biodiversity,often through complex interactions.This study aims to examine how ecological and evolutionary processes jointly shape the global and regional distribution patterns of diversity in the avian family Paridae,focusing on assembly and species pairwise levels.We integrated phylogenetic information,environmental variables(net primary productivity and environmental heterogeneity),and species traits(plumage,song,and morphometrics).We applied structural equation modeling to evaluate how these evolutionary and ecological factors integratively influence the parids diversity.We also used the Bayesian generalized linear mixed model MCMCglmm to assess how these factors affect range overlap between species pairs and,ultimately,patterns of sympatry.The result shows that diversity patterns in Paridae are shaped by both ecological and evolutionary drivers,with mechanisms differing regionally.Patterns of sympatry largely reflect secondary contact,with a pronounced tendency for sympatry among close relatives,and no evidence of character displacement.In Eastern Eurasia,particularly in the diversity center of the Sino-Himalayan mountains,speciation rate is constrained,and richness pattern is strongly influenced by environmental factors and plumage color diversity,possibly due to the relatively saturated ecological niches resulting from a long evolutionary history.In contrast,in the Western region,centered on Europe,where ecological niche space is thought to remain more available,rapid speciation plays a greater role in generating the richness pattern.Here,variation in plumage and morphometric traits further promote species coexistence and diversity.Our findings underscore the need to integrate evolutionary history,contemporary ecological dynamics,and phenotypic traits to understand the mechanisms that shape global diversity patterns of parids.Regional differences in assembly processes,niche saturation in areas with long evolutionary history versus speciation-driven richness in niche-available regions highlight the complex interplay of ecology and evolution in maintaining such the diversity. 展开更多
关键词 Diversity Ecology Evolution Niche filling Parids Secondary contact
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Multi-scale keypoints detection and motion features extraction in dairy cows using ResNet101-ASPP network 认领 引用
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作者 Saisai Wu Shuqing Han +5 位作者 Jing Zhang Guodong Cheng Yali Wang Kai Zhang Mingming Han Jianzhai Wu 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第5期2028-2040,共13页
Detecting keypoints in dairy cows aims to locate and track the motion trajectories of the body's joints,which plays a crucial role in behavior analysis and lameness detection.However,real farming scenarios,charact... Detecting keypoints in dairy cows aims to locate and track the motion trajectories of the body's joints,which plays a crucial role in behavior analysis and lameness detection.However,real farming scenarios,characterized by occlusions and large variations in object scale may result in poor detection results.Therefore,we introduce the atrous spatial pyramid pooling(ASPP) module into the shallow layers network of ResNet101,designed to improve the multi-scale feature extraction capability of the model.The ASPP module enhances the robustness of recognition for different dimensional sizes and occluded keypoints using different dilatation rates in the parallel atrous convolutional layers to expand the model's receptive field.Furthermore,seven types of motion features,including tracking up,gait symmetry,step height balance,motion speed variability,head swing amplitude,head-neck slope and back curvature are extracted simultaneously by monitoring and tracking the motion trajectory of distinct keypoints.Several of these features represent innovative extraction models and attributes,first proposed in this study.Multiple models are trained and tested on datasets containing 2,385 frames for ablation experiments.The experiments show that,in comparison with the ResNet50,MobileNet_v2_1.0,and EfficientNet-b0backbone networks,the training error and test error of ResNet101 are reduced by 4.04-30.12 pixels and 3.81-28.14 pixels.Therefore,ResNet101 is used as the benchmark for subsequent model improvement by adding the ASPP module.The training error and test error of the ResNet101-ASPP network are reduced by 0.27 and 0.24 pixels,respectively,compared to the benchmark network.The prediction confidence improves by 1.65-2.50% at three different dairy cow object scales.In addition,the keypoints under different occlusion conditions improve considerably,especially for small-scale keypoints,demonstrating the capability of the ASPP module for multi-scale feature extraction.By analyzing the distribution of the seven features and health,mild lameness,and severe lameness in dairy cows,it is shown that all the different features play an important role in distinguishing between different levels of lameness. 展开更多
关键词 dairy cows multi-scale keypoints detection ResNet101-ASPP network motion features
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Landscape and habitat effects on functional and phylogenetic diversity and structure of bird communities in fragmented habitats within an urban landscape,Southwest China 认领 引用
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作者 Yu Liu Yan Wang +6 位作者 Jie Xie Yun Zhu Su Wu Shirui Yu Lingchen Liao Kai Zhang Yu Xu 《Avian Research》 SCIE CAS CSCD 2026年第2期239-248,共10页
Understanding how landscape and habitat characteristics shape species diversity and community structure in fragmented habitats offers insights into the impact of fragmentation on biodiversity.However,relying solely on... Understanding how landscape and habitat characteristics shape species diversity and community structure in fragmented habitats offers insights into the impact of fragmentation on biodiversity.However,relying solely on taxonomic metrics is insufficient to reveal their effects;incorporating functional and phylogenetic dimensions,while accounting for the complex(direct and indirect)relationships between landscape and habitat characteristics,is essential for elucidating the mechanisms of community assembly.By investigating birds in 30 remnant woodlot patches(0.3–290.4 ha)within an urban landscape,Southwest China,during the breeding seasons from 2017 to 2023,we examined the influence of landscape characteristics(i.e.,patch area,isolation,and shape index)and habitat characteristics(including habitat composition and woody plant richness)on their functional and phylogenetic diversity and structure.We recorded 80 bird species,with species richness per patch varying from 14 to 58.Both functional and phylogenetic diversity increased with patch area and woody plant richness but decreased with isolation,which was measured as the percentage of built-up area within a 500 m buffer surrounding patches.Bird communities in most patches showed a trend toward functional and phylogenetic clustering.Functional clustering intensified with increasing isolation but weakened with higher woody plant richness,while phylogenetic clustering weakened as the proportion of croplands increased.The results suggest that landscape and habitat characteristics jointly explain the fragmentation effects on functional and phylogenetic diversity and structure of bird communities,with environmental filtering and niche differentiation-based competition likely acting as context-dependent underlying mechanisms.These findings highlight the importance of protecting and restoring large habitat patches with greater plant richness,expanding green spaces,allotment gardens,or corridors,and minimizing the density of built-up areas across the landscape to maintain functionally or phylogenetically diverse communities in urban environments. 展开更多
关键词 Breeding birds Community structure Environmental filtering Functional diversity Habitat fragmentation Interspecific competition Phylogenetic diversity
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A facies-constrained flow-network model for fast history matching and production optimization of polymer flooding reservoirs 认领 引用
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作者 Guo-Yu Qin Xia Yan +4 位作者 Kai Zhang Li-Ming Zhang Qi Zhang Ming-Xin Zhang Chen-Yang Wang 《Petroleum Science》 SCIE EI CAS CSCD 2026年第6期3408-3438,共31页
With the rising water cut in mature oil fields,polymer flooding has emerged as a critical Enhanced Oil Recovery(EOR)technique.However,high-fidelity numerical simulations for history matching and polymer flooding optim... With the rising water cut in mature oil fields,polymer flooding has emerged as a critical Enhanced Oil Recovery(EOR)technique.However,high-fidelity numerical simulations for history matching and polymer flooding optimization remain computationally intensive,limiting their practicality for ClosedLoop Reservoir Management(CLRM),which is inherently dependent on rapid iterative simulations for real-time model updating and operational decision-making.Although physics-based data-driven flownetwork models,such as General-Purpose Simulator-powered Network model(GPSNet),can accelerate simulations,their lack of geological constraints compromises predictive reliability.To address this limitation,we propose a novel facies-constrained flow-network model(GPSNet-FC)within the GPSNet framework.This model simplifies reservoir geometry into a 1D discretized grid between wells while incorporating sedimentary facies boundaries identified through edge detection and level-set methods.Grid properties are assigned and calibrated based on facies-specific attributes to ensure geological consistency.GPSNet-FC is applied to history matching using the Ensemble Smoother with Multiple Data Assimilation(ESMDA)and to polymer flooding optimization via the Differential Evolution(DE)algorithm.Numerical case studies validate the method,demonstrating that GPSNet-FC outperforms the original GPSNet in both reliability and accuracy.By integrating facies-based geological constraints,this approach reduces non-uniqueness in history matching and enables rapid and accurate decision-making fo r polymer flooding strategies.This work advances the integration of geological data into physics-based data-driven models,offering a robust and efficient tool for the CLRM of polymer flooding reservoirs. 展开更多
关键词 Physics-based data-driven model Sedimentary facies constraints Polymer flooding History matching Production optimization
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Physiological,biochemical and metabolomic analysis revealed the mechanism of selenium alleviating copper stress in Nicotiana tabacum L. 认领 引用
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作者 Bingjie Yu Hang Wang +10 位作者 Mengze Li Kai Zhang Ye Xue Jiashu Tian Huanyu Teng Wuxing Huang Dan Han Bingjun Dang Zicheng Xu Jiayang Xu Wei Jia 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第7期387-398,共12页
Copper(Cu)contamination impairs crop performance.Selenium(Se),a beneficial element for plants,has been implicated in mitigating heavy-metal stress.However,the role of Se against Cu toxicity in tobacco(Nicotiana tabacu... Copper(Cu)contamination impairs crop performance.Selenium(Se),a beneficial element for plants,has been implicated in mitigating heavy-metal stress.However,the role of Se against Cu toxicity in tobacco(Nicotiana tabacum L.)remains incompletely characterized.Using Cu-stressed tobacco seedlings with Se supplementation,we show that excess Cu disrupted chloroplast structure,perturbed photorespiration,and interfered with chlorophyll biosynthesis and disrupted the Calvin–Benson cycle(including Ribulose-1,5-bisphosphate(RuBP)regeneration),thereby reducing photosynthetic efficiency.Se preserved chloroplast integrity and enhanced pigment synthesis,improving leaf photosynthetic performance.Se application also significantly decreased soil available Cu,which lowered plant Cu uptake and translocation,while concurrently promoting mineral nutrient acquisition.Moreover,Se modulated antioxidant defenses to mitigate oxidative damage and maintain cellular structure and function.At the metabolic level,Se appeared to confer Cu tolerance through regulation of glutathione metabolism and amino-acid pathways(notably histidine,arginine,and proline),accompanied by changes in glutamate,glutathione,and phosphoserine.Collectively,this study suggested that Se might alleviate Cu phytotoxicity through multiple,concerted pathways—including lowering soil-available Cu,reducing plant Cu uptake,safeguarding chloroplast/photosynthetic processes,and modulating antioxidant and amino-acid metabolism. 展开更多
关键词 Copper toxicity Selenium Tobacco Antioxidant system Substance metabolism
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Divergence of mating systems in Primula oreodoxa:Insights from transplant experiments and mating portfolios 认领 引用
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作者 Gui Zeng Kai Zhang +1 位作者 Dianxiang Zhang Shuai Yuan 《Plant Diversity》 SCIE CAS CSCD 2026年第1期169-180,共12页
Transitioning from outcrossing to self-fertilization is a widespread reproductive strategy in plants,especially in environments where pollination is limited.Despite its prevalence,this transition has rarely been exami... Transitioning from outcrossing to self-fertilization is a widespread reproductive strategy in plants,especially in environments where pollination is limited.Despite its prevalence,this transition has rarely been examined using transplant experiments,and previous studies have overlooked the contribution of the male parent in elucidating mating diversity.In this study,six transplanted populations were generated to investigate the relationship of the pollination environment with plant mating patterns and fecundity in Primula oreodoxa,a species that exhibits both distyly(predominantly outcrossing)and homostyly(predominantly selfing),based on data from 3582 individuals and 11 SSR markers.Homostylous plants had fruit and seed sets comparable to those of distylous plants at lower elevations but exhibited a clear reproductive advantage at higher elevations,particularly compared with the S morph.As elevation increased,the populational selfing rates increased,and the genetic diversity among the progeny was reduced.Furthermore,the visitation frequency of long-tongued pollinators was negatively and positively correlated with the selfing rate and number of mates,respectively,in the L and S morphs.In contrast,short-tongued pollinator visitation showed opposite correlations with the selfing rate and number of mates in homostylous morphs.In most populations,individuals functioned consistently as both female and male,and mating occurred randomly,suggesting a breakdown of the distyly polymorphism.Overall,our results provide experimental validation of the reproductive advantages of homostyly at high elevations by revealing that pollinator visitation shapes the selfing rate and mating diversity within populations,potentially driving the divergence of mating systems along environmental gradients. 展开更多
关键词 Distyly Mating portfolios Outcrossing Pollinators Selfing Transplant experiments
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On determining friction velocity in a spatially developing turbulent boundary layer under zero pressure gradient 认领 引用
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作者 Dong Li Shaocheng Qian +1 位作者 Yuqi Liu Kai Zhang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期223-238,共16页
Accurate determination of the friction velocity in wall-bounded turbulent flows is crucial for both fundamental research and engineering applications.In this work,the integral relation for friction velocity proposed b... Accurate determination of the friction velocity in wall-bounded turbulent flows is crucial for both fundamental research and engineering applications.In this work,the integral relation for friction velocity proposed by Mehdi et al.is modified based on a power-law assumption for the total shear stress within the turbulent boundary layer.The present approach requires only the mean streamwise velocity and Reynolds shear stress profiles in the logarithmic region and beyond,thereby reducing the reliance on near-wall data.Extensive validation against numerical and experimental data shows that the proposed method can accurately predict the friction velocity over a broad range of Reynolds numbers.We further extend the method by deriving a more general relation for the friction velocity through an n-fold repeated integration of the mean streamwise momentum equation.It is found that the accuracy of the present method can be improved to within±1%when the integral relation is obtained based on a twentyfold repeated integration instead of a threefold integration.The method applies to both smooth-and rough-wall turbulent boundary layers under zero pressure gradient.It is particularly useful in situations where measurements in the near-wall region with y+<100 are either unavailable or subject to significant uncertainty. 展开更多
关键词 Friction velocity Turbulent boundary layer Momentum integral method
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Interpretable Damage State Identification of Buried Pipelines under Rotary Tiller Loading Using a PSO-CatBoost Framework 认领 引用
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作者 Liqiong Chen Haoyu Jia +3 位作者 Mailun Liu Kai Zhang Song Yang Zongjun Jiang 《Structural Durability & Health Monitoring》 EI 2026年第4期264-285,共22页
Buried natural gas pipelines are critical components of energy infrastructure,and their durability and safe operation depend on effective structural health monitoring and the early identification of damage states.In f... Buried natural gas pipelines are critical components of energy infrastructure,and their durability and safe operation depend on effective structural health monitoring and the early identification of damage states.In farmland environments,rotary tillage imposes repeated and often concealed mechanical loads on buried pipelines,resulting in stress accumulation,progressive deterioration,and potentially structural failure.However,predictive and interpretable health monitoring approaches that explicitly incorporate rotary tiller-induced damage mechanisms remain scarce.In this study,a physics-informed and interpretable hybrid framework is proposed for the structural health monitoring of buried pipelines subjected to rotary tiller loading.A three-dimensional multiphysics-coupled finite element model of the rotary tiller-pipeline-soil system was developed to simulate the mechanical response and damage evolution of pipelines under varying wall thickness,internal pressure,blade number,operating speed,and soil density.Based on the simulation results,pipeline conditions were classified into three damage states,namely elastic deformation,plastic deformation,and failure,with the first two regarded as warning states.A multi-class CatBoost model optimized using Particle Swarm Optimization(PSO)was subsequently established for damage-state identification.On the test set,the model achieved an accuracy of 0.94,and the AUC values for all three classes reached 0.93.SHapley Additive exPlanations(SHAP)were further employed to interpret themodel outputs and quantify the contribution of individual parameters.The results revealed critical risk thresholds associated with the transition from warning states to failure under the shallow-cover rotary tiller disturbance scenario considered in this study.In particular,the risk of failure increased markedly when the blade number exceeded eight and the internal pressure was greater than 8 MPa.These findings indicate that wall thickness and internal pressure govern the baseline structural resistance of pressurized pipelines,while the identified thresholds can support the screening of high-risk conditions and the operational control of shallow-cover farmland sections. 展开更多
关键词 Structural health monitoring buried pipelines third-party interference damage state identification finite element analysis explainable machine learning
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Lactate metabolism-driven tumor heterogeneity and molecular signatures in intrahepatic cholangiocarcinoma 认领 引用 被引量：1
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作者 An-Ke Wu Jun-Yi Li +9 位作者 Kai Zhang Martin Meng Xue Wang Yue Liu Peng Xie Wei-Qi Rong Fan Wu Hong-Guang Wang Xuan Meng Jian-Xiong Wu 《World Journal of Gastroenterology》 SCIE CAS 2026年第7期109-134,共26页
BACKGROUND Intrahepatic cholangiocarcinoma(ICC)is a highly aggressive liver malignancy with limited therapeutic options and poor prognosis.Recent evidence indicates that lactate metabolism(LM)plays a pivotal role in t... BACKGROUND Intrahepatic cholangiocarcinoma(ICC)is a highly aggressive liver malignancy with limited therapeutic options and poor prognosis.Recent evidence indicates that lactate metabolism(LM)plays a pivotal role in tumor metabolic reprogramming,immune evasion,and disease progression;however,the heterogeneity and regulatory mechanisms of LM activity within ICC remain largely undefined.AIM To systematically characterize LM-driven heterogeneity and its molecular and functional implications in ICC.METHODS Single-cell RNA sequencing and bulk transcriptomic datasets were integrated to characterize LM heterogeneity in ICC.High-dimensional weighted gene coexpression network analysis and multiple machine-learning algorithms(least absolute shrinkage and selection operator,random forest,gradient boosting machine,adaptive best subset selection,and decision tree)were employed to identify LM-associated feature genes.CytoTRACE and CellChat analyses were used to assess differentiation potential and intercellular communication among malignant epithelial subpopulations.Kyoto Encyclopedia of Genes and Genomes and Gene Ontology enrichment analyses were performed to elucidate biological functions.A random forest model combined with SHapley Additive exPlanation(SHAP)interpretability analysis identified the most predictive LM-related gene.Functional assays,including quantitative polymerase chain reaction,cell counting kit-8,colony formation,woundhealing,and transwell experiments,were conducted to validate CYC1 in ICC cell lines.RESULTS Malignant ICC cells were stratified into three LM-activity subtypes(high,intermediate,and low)exhibiting distinct transcriptional programs and differentiation trajectories.Twelve LM-associated feature genes GPX3,CYC1,NME1,GSTP1,MGST1,ALDH3A1,TALDO1,SNRPB,TKT,NAA20,G6PD,and RPL13A were identified as key molecular markers linked to aggressive phenotypes and poor prognosis.Among them,CYC1 showed the highest predictive accuracy(area under the curve=0.844)and strongest model contribution(SHAP=0.091),marking it as the principal LM-related driver gene.Functional experiments confirmed that CYC1 knockdown significantly suppressed ICC cell proliferation,migration,and invasion,validating its oncogenic role in promoting malignant progression.CONCLUSION This integrative single-cell and machine-learning study delineates the molecular heterogeneity of LM in ICC and identifies twelve feature genes linking LM with tumor aggressiveness.These findings provide novel insight into LM-driven oncogenic mechanisms and propose CYC1 and other LM-associated genes as potential biomarkers and therapeutic targets for ICC. 展开更多
关键词 Intrahepatic cholangiocarcinoma Lactate metabolism Single-cell RNA sequencing Metabolic heterogeneity Tumor microenvironment
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Highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe 认领 引用
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作者 Yufang Chen Wenbo Zhao +5 位作者 Jinxing Xiong Jiashu Zhang Kai Zhang Jiale Xie Menghan Liu Hongdan Wan 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期454-463,共10页
A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~... A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~10 aM based on the ROFP.A particular single-nucleotide mismatch sequence is also identified.The sensitivity of the proposed DNA biosensor is 1.51 nm/lgaM,about three-fold higher than using single-strand DNA probes(0.47 nm/lgaM)and with high specificity.The proposed ROFP has high compactness(with a length of~3 mm)which is convenient for sample detection with small volume and complex gradients in small spaces with high sensitivity. 展开更多
关键词 DNA biosensor ultra-low detection limit high sensitivity reflective optical fiber probe secondary interference 3-D DNA nanostructure
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Ultrafast photocarrier dynamics of black phosphorus under pressure 认领 引用
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作者 Hanyu Wang Shujuan Xu +3 位作者 Xinyao Wang Kai Zhang Liangjian Zou Fuhai Su 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期104-109,共6页
In situ ultrafast photocarrier dynamics of multilayer black phosphorus(BP)are investigated under pressure using optical pump-probe spectroscopy.Below 10 GPa,the transient reflectivity exhibits sub-picosecond saturable... In situ ultrafast photocarrier dynamics of multilayer black phosphorus(BP)are investigated under pressure using optical pump-probe spectroscopy.Below 10 GPa,the transient reflectivity exhibits sub-picosecond saturable absorption(SA)followed by oscillations arising from longitudinal coherent acoustic phonons(CAPs).With increasing pressure,pronounced anomalies in carrier relaxation and CAP behavior are observed,including a strong enhancement of CAP amplitude around2.0 GPa,associated with a pressure-induced Lifshitz transition.Above 10 GPa the ultrafast response switches from SA to absorption enhancement(AE),accompanied by the complete disappearance of CAPs,indicating the transition to a cubic metallic phase.The pressure-dependent behavior of the CAPs reflects an enhanced interlayer coupling along the cross-plane direction,while the transition from SA to AE dynamics signifies a fundamental shift in in-plane carrier transport.Meanwhile,first-principles calculations reveal a pressure-induced reconstruction of the electronic structure and an increase in the longitudinal acoustic phonon group velocity across Lifshitz transition,supporting the microscopic understanding for anomalous CAP dynamics based on enhanced deformation-potential coupling and electron temperature of Dirac carriers.The study provides critical insights into the pressure-tuned topological transitions and the role of Dirac fermions in the nonequilibrium dynamics of compressed BP. 展开更多
关键词 black phosphorus high pressure ultrafast spectroscopy Lifshitz transition coherent acoustic phonons
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Time-varying reliability analysis of a reservoir bank slope considering creep behavior and sequential Bayesian updating 认领 引用
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作者 Wenyu Zhuang Qingchao Lyu +4 位作者 Yaoru Liu Kai Zhang Ting Liu Junlei Bai Qun Zhang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第3期2104-2121,共18页
The probabilistic stability evolution analysis of reservoir bank slopes is a crucial aspect of risk assessment,with core challenges including the consideration of deformation mechanisms and accurate determination of m... The probabilistic stability evolution analysis of reservoir bank slopes is a crucial aspect of risk assessment,with core challenges including the consideration of deformation mechanisms and accurate determination of mechanical parameters.In this study,a novel time-varying reliability analysis framework based on sequential Bayesian updating of mechanical parameters is proposed.The inverse parameters account for damage time-dependent behavior,incorporating water effect and a strain-driven softening-hardening process that depends on sliding states.The likelihood function is enhanced to simultaneously consider observation error,surrogate model prediction error,and model structural error,with the introduction of physical penalty.Exploration of the high-dimensional parameter space is achieved via the Hamiltonian Monte Carlo(HMC)method and the physics knowledge-based time-dependent deformation surrogate model.The time-varying reliability analysis of the slope is performed using the multi-grid method.Taking a reservoir bank slope as a case study,the sequential updating of 12 mechanical parameters is conducted based on deformation time series from 16 monitoring points,thereby validating the proposed framework.The results indicate that the proposed framework effectively captures the posterior distribution of mechanical parameters,with the case slope remaining in a critically stable state after overall sliding,showing a high failure probability.Introducing model structural error can reduce parameter compensation,and a reasonable sequential updating step size can improve inversion accuracy. 展开更多
关键词 Sequential Bayesian updating Probabilistic back analysis Time-varying reliability Reservoir bank slope Model structural error Surrogate model prediction error Markov chain Monte Carlo(MCMC)method Multi-grid method
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Mechanical and in situ thermal-related behavior during directed energy deposition additive manufacturing of a high-performance Al alloy 认领 引用
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作者 Da Guo Chengbo Zhu +9 位作者 Harry E.Chapman Kai Zhang Wei Li Shishira Bhagavath Robert Atwood Stefan Michalik Dmitry G.Eskin Iakovos Tzanakis Chu Lun Alex Leung Peter.D.Lee 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第3期616-631,共16页
Directed energy deposition(DED)additive manufacturing(AM)can fabricate,repair,and join near-net-shaped components for high-performance engineering applications,including biomedical,energy,and transport sectors.The bro... Directed energy deposition(DED)additive manufacturing(AM)can fabricate,repair,and join near-net-shaped components for high-performance engineering applications,including biomedical,energy,and transport sectors.The broader adoption of DED remains constrained by the limited number of alloys available that can be reliably manufactured without imperfections,hence limiting mechanical properties.Here,we designed an Al-Ni-Ce-Mn-Fe AM alloy that can achieve an ultra-fine microstructure(<5μm),uniform distribution of intermetallics,low residual stress(<32 MPa),and superior mechanical properties in as-built DED components.Compared to DED AlSi10Mg in the as-built state using the same conditions,the yield increased by 70%,and the ultimate tensile strength by 50%.DED-AM involves rapid cooling and complex thermal conditions,which largely influence the property of the final components.Post-characterization cannot capture the time resolved thermal behavior,hence offer limited mechanism-based guide for alloy design.In this study,we develop a novel multimodal characterization methodology for correlative in situ X-ray imaging,X-ray diffraction,and infrared imaging,enabling quantification of the in situ thermal-related behavior,including phase evolution,temperature distribution,and stress accumulation during DED.We elucidated key mechanisms driving the structure refinement and stress development in this alloy.The insights gained into the interplay between alloy composition,thermal-related behavior,and performance under specific AM conditions inform next-generation material design tailored for AM technologies. 展开更多
关键词 directed energy deposition synchrotron X-ray diffraction synchrotron X-ray imaging microstructure properties additive manufacturing
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Self-Supporting Pt-C60@GO Catalytic Cathodes for Advanced Flexible Li-O2 Batteries 认领 引用
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作者 Zhiguang Zhao Kai Zhang +10 位作者 Junfan Zhang Yawen Liu Zhao Lv Kaijie Yang Jingze Guo Xiaoyan Zhang Yuanxing Zhang Daobin Mu Xiangyi Luo Feng Wu Guoqiang Tan 《Carbon Energy》 SCIE EI CAS CSCD 2026年第4期119-129,共11页
Developing efficient and durable Pt-C catalytic cathodes is crucial for enhancing Li-O2 batteries;however,it remains a significant challenge.Here,we designed a self-supporting three-dimensional Pt-C60@GO cathode... Developing efficient and durable Pt-C catalytic cathodes is crucial for enhancing Li-O2 batteries;however,it remains a significant challenge.Here,we designed a self-supporting three-dimensional Pt-C60@GO cathode and demonstrated its flexible use in the large-area battery assembly.Pt-C60@GO cathode features parallel structurally continuous graphene oxide films,within which fullerene nanospheres are uniformly embedded,and platinum nanodots that are also equably attached,forming a longitudinally ordered stacking structure.The obtained cathode exhibits highly exposed platinum active sites with robust Pt-C and Pt-O bonding interactions,demonstrating remarkable electrocatalytic activity and electrochemical stability.This enables promising electrochemical performance,including a high areal capacity of 3.70 mAh cm-2,a low cell overpotential of 0.48 V,and an excellent cycle stability exceeding 100 cycles.Notably,this self-supporting electrode design facilitates the flexible battery assembly,where a single-layered Pt-C60@GO//LiMg pouch-cell displays a high energy density of 324.6 Wh kg-1and a stable cycle life over 10 cycles in air. 展开更多
关键词 catalytic cathode flexible Li-O2batteries fullerene graphene oxide platinum
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In-situ construction and tuning of a poly(1,3-dioxolane)dual-interlayer electrolyte bolstering high performance of solid-state battery 认领 引用
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作者 Xiaojin Wang Yi Chang +7 位作者 Yuanyuan Zhang Zhuohua Li Haiqi Huang Yansha Huang Jiawei Hu Kai Zhang Xuemei Gong Ruirui Zhao 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第3期727-732,共6页
Garnet-type ceramic Li-La3Zr2O12(LLZO)stands out as a potential solid-state electrolyte,offering a promising alternative to conventional flammable liquid electrolytes.However,its large interfacial resistance ... Garnet-type ceramic Li-La3Zr2O12(LLZO)stands out as a potential solid-state electrolyte,offering a promising alternative to conventional flammable liquid electrolytes.However,its large interfacial resistance with electrodes remains a significant challenge.In this research,we have successfully in-situ fabricated polymeric interface layers on both cathode and anode sides with LLZO.By tuning the gel-polymer interphase via fluoroethylene carbonate(FEC),known as FGPE,we have established a rapid Li+ transport channel by enhancing the solid-solid interfacial contact.This FGPE layer exhibits exceptional ionic conductivity of 1.38 mS/cm and a high Li-ion transference number of 0.64.Furthermore,FGPE effectively mitigates concentration polarization under high currents,thereby enabling a higher capacity output.In comparison to gel-polymer interphases with dimethyl carbonate(DMC)as the solvent(referred to as GPE),the Li|FGPE|Li symmetrical cell has demonstrated superior stability in plating/strapping performance over800h at a current density of 0.1 mA/cm2.Moreover,the Li|FGPE|LLZO|FGPE|LiFePO4 cell has exhibited commendable rate capability and has maintained a high capacity retention of 98.94%at 0.5 C after 200cycles.This study underscores an innovative approach in advancing in field of solid-state batteries,anticipated to be broadly applicable to other solid-state batteries by facilitating an abundance of robust solid-solid interfacial contacts. 展开更多
关键词 Solid-state battery Interface modification strategy In-situ polymerization Garnet electrolyte Poly(1,3-dioxolane)
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Association between Urinary Cobalt and All-cause and Cause-specific Mortality among Chinese Older Adults:A Prospective Cohort Study 认领 引用
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作者 Yudong Wu Yongqiang Chen +20 位作者 Chen Chen Liang Ding Linsen Yang Kai Zhang Xi Meng Wenhui Shi Yang Li Jiahao Chen Yue Chen Yingli Qu Wanying Shi Ziyu Hu Fanye Long Lijun Wang Luxi Wei Jinhui Zhou Feng Zhao Ying Zhu Maigeng Zhou Yuebin Lyu Xiaoming Shi 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2026年第6期690-702,共13页
Objective To investigate the association between urinary cobalt levels and all-cause and cause-specific mortality in older Chinese adults.Methods This study enrolled older adults(≥60 years)from two cohorts.Urinary co... Objective To investigate the association between urinary cobalt levels and all-cause and cause-specific mortality in older Chinese adults.Methods This study enrolled older adults(≥60 years)from two cohorts.Urinary cobalt concentrations were quantified using inductively coupled plasma mass spectrometry.Mortality outcomes were ascertained by linking them to the Chinese Disease Surveillance Point System.Cox proportional hazards models were used to evaluate the association between urinary cobalt and mortality,and subgroup analyses were performed to identify vulnerable populations.Results A total of 9,727 participants were followed for an average of 4.754 years,during which 2,745 deaths were recorded.Participants with the highest urinary cobalt concentration had a 29%greater allcause mortality risk(HR:1.292,95%CI:1.155–1.445)than those in the lowest quartile,along with significantly elevated mortality from cardiovascular(24.8%),neurological(137.1%).Subgroup analyses revealed that female,Han Chinese individuals,and rural residents were more susceptible to the effects of cobalt.Conclusion Cobalt exposure was associated with elevated all-cause,cardiovascular,and neurological mortality in older adults,with female,Han ethnicity,and rural residents being vulnerable groups.These findings provide population-based evidence for clinical management and policy revisions regarding cobalt exposure. 展开更多
关键词 Urine Cobalt Cause of death Prospective studies Elderly
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Topological transition enabled by composite symmetry-breaking paths in trefoil-knot honeycomb lattices 认领 引用
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作者 Tai REN Xiuhui HOU +3 位作者 Tingting WANG Zhiwei ZHU Kai ZHANG Zichen DENG 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第3期497-508,共12页
Topological phases are governed by lattice symmetries,yet how different symmetry-breaking paths(SBPs)affect topological transitions remains insufficiently understood.Most existing studies rely on a single SBP,and addr... Topological phases are governed by lattice symmetries,yet how different symmetry-breaking paths(SBPs)affect topological transitions remains insufficiently understood.Most existing studies rely on a single SBP,and address only one bandgap,limiting independent control of multiple gaps.Here,we investigate multiple isolated Dirac points in a trefoil-knot-modified honeycomb lattice,and show that a single SBP generally inverts all relevant Dirac points simultaneously,whereas the tailored combinations of SBPs enable selective and programmable band inversion at targeted gaps.The excitation-dependent responses reveal strong modal selectivity.This capability is exploited to realize independently controllable multi-channel signal splitting,which is unattainable with a single SBP.The results enable SBPs as an effective design degree of freedom for programmable and reconfigurable topological elastic devices. 展开更多
关键词 symmetry-breaking path(SBP) honeycomb-like metastructure topological metamaterial
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Predicting melt pool geometry dimensions of AlSi10Mg single track in laser powder bed fusion using coaxial high-speed camera signals 认领 引用
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作者 Jiwei Zhu Kai Zhang +3 位作者 Tingting Liu Jiansen Li Zhiyong Zou Wenhe Liao 《Additive Manufacturing Frontiers》 CAS CSCD 2026年第2期93-107,共15页
Online melt pool monitoring has become a key enabler for quality assurance in laser powder bed fusion(LPBF).However,two geometrical quantities that strongly influence defect formation(melt pool depth and layer height)... Online melt pool monitoring has become a key enabler for quality assurance in laser powder bed fusion(LPBF).However,two geometrical quantities that strongly influence defect formation(melt pool depth and layer height)are difficult to measure directly during processing and are typically obtained via time-consuming destructive metallography.This study proposes a data-driven virtual sensing framework to predict melt pool depth and layer height for single-track LPBF of AlSi1oMg by fusing coaxial high-speed imaging features with process parameters.A coaxial high-speed camera(10 kHz)is integrated into the LPBF system to capture melt pool images,from which features describing melt pool size,shape,intensity,and texture are extracted and combined with laser power and scanning speed.We benchmark three regression models—support vector regression(SVR),random forest(RF),and a deep neural network(DNN)—under different input configurations and then retrain the selected model on the full dataset of 330 tracks using an 80/20 train-test split.The combined-input DNN consistently outperforms SVR and RF for both targets,achieving higher R2and lower RMSE,and a mode-aware optimization strategy further reduces extreme prediction errors near regime-transition boundaries(non-fusion and keyholelike conditions).The proposed framework enables accurate,interpretable prediction of melt pool geometry from in-situ monitoring signals,supporting process-window design and reducing reliance on destructive measurements. 展开更多
关键词 Laser powder bed fusion Coaxial monitoring Melt pool geometry prediction Machine learning
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Interpretable low-dose CT enhancement via multi-Gaussian cluster variance reduction 认领 引用
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作者 Xiaofeng Zhang Yilan Zhu +6 位作者 Yongsheng Huang Jielong Yang Zhili Wang Kai Zhang Si Chen Linbo Liu Xin Ge 《Opto-Electronic Science》 CAS 2026年第3期12-23,共12页
Computed tomography(CT)is indispensable in both clinical medicine and biological research,yet reducing radiation exposure while maintaining image quality remains a big challenge.To address this,we propose multi-Gaussi... Computed tomography(CT)is indispensable in both clinical medicine and biological research,yet reducing radiation exposure while maintaining image quality remains a big challenge.To address this,we propose multi-Gaussian Cluster Variance Reduction(mGCVR),a method that enables low-dose CT images to approximate the quality of high-dose scans.mGCVR models the heterogeneous tissue CT intensity distribution using multiple Gaussian components,and performs denoising by shrinking the variance within each component.In biological imaging experiments,mGCVR consistently improves image quality across the entire field of view.Compared with classical denoising algorithms,mGCVR produces images that more closely resemble high-dose clinical CT images and achieves superior performance in quantitative metrics.These results validate the effectiveness of mGCVR and highlight its potential for broad use in both medical imaging and scientific applications. 展开更多
关键词 X-ray imaging denoising histogram-domain processing image enhancement low-dose CT
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