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Features of Reflection of Persons With Psychotic Disorder: Mechanisms of Psychosis Formation 认领 引用
1
作者 Morozyuk Svetlana Nikolaevna Morozyuk Yuri Vitalevich Kuznetsova Elena Sergeevna 《US-China Education Review(A)》 2026年第4期265-273,共9页
This article presents the results of an empirical study of the reflection features of individuals with acute polymorphic psychotic personality disorder.The cognitive-emotive test(CET)by Yu.M.Orlova and S.N.Morozyuk(CA... This article presents the results of an empirical study of the reflection features of individuals with acute polymorphic psychotic personality disorder.The cognitive-emotive test(CET)by Yu.M.Orlova and S.N.Morozyuk(CAT)was used as a method.The study involved 29 respondents-men(17 people)and women(12 people)aged 18-45 years with acute polymorphic psychotic personality disorder.All patients were in remission. 展开更多
关键词 reflection protective reflection sanogenic reflection psychosis bipolar personality disorder compensatory functions psychological defense mechanisms
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Innovating Dialogue Mechanisms Between China and Southeast Asian Countries:Core Features and Strategic Implications 认领 引用
2
作者 Du Lan 《China International Studies》 2026年第3期22-52,共31页
China's intensive promotion of“2+2”mechanisms in Southeast Asia,where great-power competition and regional cooperation intersect,represents a shift from issue-driven cooperation to mechanism-driven governance in... China's intensive promotion of“2+2”mechanisms in Southeast Asia,where great-power competition and regional cooperation intersect,represents a shift from issue-driven cooperation to mechanism-driven governance in bilateral relations,a transition in China's neighborhood diplomacy from managing relations to shaping order,and an institutional exploration of the concept of a community with a shared future for humanity and the Asian security model in practice.To further develop the“2+2”mechanisms and translate institutional innovations into genuine regional public goods,a steady and pragmatic approach is required that respects regional countries'concerns and maintains transparency and inclusiveness. 展开更多
关键词 asian security model mechanisms neighborhood diplomacy regional cooperation mechanism driven governance managing relations innovating dialogue mechanisms China Southeast Asia relations
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Towards Real-Time Multi-Person Pose Estimation via Feature Selection and Sharpening Mechanisms 认领 引用
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作者 Chengang Dong Yongkang Ding Jianwei Hu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期888-908,共21页
Real-time multi-person pose estimation(MPE)built upon neural network architectures aims to simultaneously detect multiple human instances and regress joint coordinates in dynamic scenes.However,due to factors such as ... Real-time multi-person pose estimation(MPE)built upon neural network architectures aims to simultaneously detect multiple human instances and regress joint coordinates in dynamic scenes.However,due to factors such as high model complexity and limited expression of keypoint information,both the efficiency and accuracy of real-time MPE remain to be improved.To mitigate the adverse impacts caused by the aforementioned issues,this work develops FSEM-Pose,a real-time MPE model rooted in the YOLOv10 framework.In detail,first,FSEM-Pose upgrades the backbone module of the baseline network by introducing the Feature Shuffling-Convolution(FS-Conv),which effectively reduces the backbone size while maximizing the retention of spatial information from the input image.Second,FSEM-Pose incorporates a Feature Saliency Enhancement Module(FSEM)to strengthen the feature encoding of human keypoints,thereby improving the accuracy of pose estimation.Finally,FSEM-Pose further enhances inference efficiency via a lightweight optimization of the head using shared convolutional layers.Our method achieves competitive results across multiple accuracy and efficiency metrics on the MS COCO 2017 and CrowdPose datasets.While being lightweight in design,it improves average precision(AP)by 2.1%and 2.5%,respectively. 展开更多
关键词 Pose estimation feature sharpening lightweight YOLOv10
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Attention Mechanisms and FFM Feature Fusion Module-Based Modification of the Deep Neural Network for Detection of Structural Cracks 认领 引用 被引量：1
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作者 Tao Jin Zhekun Shou +1 位作者 Hongchao Liu Yuchun Shao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期345-366,共22页
This research centers on structural health monitoring of bridges,a critical transportation infrastructure.Owing to the cumulative action of heavy vehicle loads,environmental variations,and material aging,bridge compon... This research centers on structural health monitoring of bridges,a critical transportation infrastructure.Owing to the cumulative action of heavy vehicle loads,environmental variations,and material aging,bridge components are prone to cracks and other defects,severely compromising structural safety and service life.Traditional inspection methods relying on manual visual assessment or vehicle-mounted sensors suffer from low efficiency,strong subjectivity,and high costs,while conventional image processing techniques and early deep learning models(e.g.,UNet,Faster R-CNN)still performinadequately in complex environments(e.g.,varying illumination,noise,false cracks)due to poor perception of fine cracks andmulti-scale features,limiting practical application.To address these challenges,this paper proposes CACNN-Net(CBAM-Augmented CNN),a novel dual-encoder architecture that innovatively couples a CNN for local detail extraction with a CBAM-Transformer for global context modeling.A key contribution is the dedicated Feature FusionModule(FFM),which strategically integratesmulti-scale features and focuses attention on crack regions while suppressing irrelevant noise.Experiments on bridge crack datasets demonstrate that CACNNNet achieves a precision of 77.6%,a recall of 79.4%,and an mIoU of 62.7%.These results significantly outperform several typical models(e.g.,UNet-ResNet34,Deeplabv3),confirming their superior accuracy and robust generalization,providing a high-precision automated solution for bridge crack detection and a novel network design paradigm for structural surface defect identification in complex scenarios,while future research may integrate physical features like depth information to advance intelligent infrastructure maintenance and digital twin management. 展开更多
关键词 Bridge crack diseases structural health monitoring convolutional neural network feature fusion
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Advanced Bismuth-Based Anode Materials for Efficient Potassium Storage:Structural Features,Storage Mechanisms and Modification Strategies 认领 引用 被引量：1
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作者 Yiye Tan Fanglan Mo Hongyan Li 《Nano-Micro Letters》 SCIE EI CAS CSCD 2025年第6期1-39,共39页
Potassium-ion batteries(PIBs)are considered as a promising energy storage system owing to its abundant potassium resources.As an important part of the battery composition,anode materials play a vital role in the futur... Potassium-ion batteries(PIBs)are considered as a promising energy storage system owing to its abundant potassium resources.As an important part of the battery composition,anode materials play a vital role in the future development of PIBs.Bismuth-based anode materials demonstrate great potential for storing potassium ions(K+)due to their layered structure,high theoretical capacity based on the alloying reaction mechanism,and safe operating voltage.However,the large radius of K+inevitably induces severe volume expansion in depotassiation/potassiation,and the sluggish kinetics of K+insertion/extraction limits its further development.Herein,we summarize the strategies used to improve the potassium storage properties of various types of materials and introduce recent advances in the design and fabrication of favorable structural features of bismuth-based materials.Firstly,this review analyzes the structure,working mechanism and advantages and disadvantages of various types of materials for potassium storage.Then,based on this,the manuscript focuses on summarizing modification strategies including structural and morphological design,compositing with other materials,and electrolyte optimization,and elucidating the advantages of various modifications in enhancing the potassium storage performance.Finally,we outline the current challenges of bismuth-based materials in PIBs and put forward some prospects to be verified. 展开更多
关键词 Bismuth-based materials Potassium-ion batteries Anode Potassium storage mechanism Modification strategies
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Intelligent prediction method of rockburst driven by microseismic temporal features in deep near-vertical coal seams 认领 引用 被引量：1
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作者 Huicong Xu Kai Li +7 位作者 Xingping Lai Pengfei Shan Bo Zhang Lianpeng Dai Shangtong Yang Qifeng Guo Xun Xi Zhongming Yan 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第7期2403-2418,共16页
Rockburst has become a major hazard constraining safe production and high-quality capacity release in China's coal mines.During deep mining of near-vertical seams within the Tianshan seismic belt,the coupling of n... Rockburst has become a major hazard constraining safe production and high-quality capacity release in China's coal mines.During deep mining of near-vertical seams within the Tianshan seismic belt,the coupling of nonlinear coal-rock deformation responses with complex geological conditions markedly elevates rockburst risk.To meet the strategic demand for intelligent safe,and efficient mining in rockburst-prone seams,this study integrates geophysics,spatial statistics,big data mining,and deep learning to investigate a steeply dipping coal mine in Xinjiang,China,and systematically analyze the relationship between microseismic activity parameters and mininginduced disturbances.On this basis,a temporal fusion feature identification method for microseismic indicators is proposed.By embedding temporal constraints into a deep-learnng framework,an enhanced temporal fusion transformer(TFT)is developed to predict multiple microseismic indicators.Furthermore,an intelligent rockburst prediction and early-warning approach driven by fused microseismic parameters is established and validated in field applications.Results indicate that hazard risk in the sandwiched rock pillar and the B6 roof areas increases with working-face advance,and the localized damage in the sandwiched rock pillar is more severe than that in the B6 roof.To strengthen feature extraction,a WFTBlock is introduced by combining continuous wavelet transform,Fourier transform,and timestamp alignment to reveal the periodic evolution of spectral and phase characteristics in indicator sequences.The final multi-parameter TFT model is trained jointly with fused features and temporal inputs.Compared with the long short-term memory(LSTM)baseline,the proposed model reduces root mean square error(RMSE)by 47.9% and improves coefficient of determination(R2)by 54.5%,demonstrating substantially enhanced predictive accuracy.Overall,the proposed framework provides technical support for safe and efficient mining of steeply dipping seams and the secure development of key energy bases along the Belt and Road Initiative. 展开更多
关键词 near-vertical coal seams rockburst microseismic spatiotemporal features intelligent prediction
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Enhanced flotation separation of bastnaesite and monazite by suspension roasting:A study of flotation performance and mechanisms 认领 引用 被引量：3
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作者 Linghui Zhang Wenbo Li +4 位作者 Shaokai Cheng Xiaolong Zhang Junyan Sun Rui Qu Maoyuan Wang 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第3期957-968,I0007,共12页
Bayan Obo rare earth mine is the largest light rare earth resource worldwide,primarily extracts rare earth elements(REEs)from mixed RE concentrates with bastnaesite and monazite.Nevertheless,the adoption of the concen... Bayan Obo rare earth mine is the largest light rare earth resource worldwide,primarily extracts rare earth elements(REEs)from mixed RE concentrates with bastnaesite and monazite.Nevertheless,the adoption of the concentrated sulfuric acid roasting metallurgical process has resulted in damage to the environment.Therefore,this paper adopted the method of selective mineral phase transformation(MPT)followed by enhanced micro-flotation.By determining the optimal MPT co nditions,the flotation recovery of bastnaesite-roasted products by the collector(phthalic acid,PA)is improved,and the enhanced separation of bastnaesite with monazite is realized.The results show that with the increase of roasting temperature and time,the bastnaesite decomposition product is CeOF and monazite does not change significantly.Subsequent micro-flotation exhibits a gradual decline in the PA consumption of bastnaesiteroasted products,while the flotation recovery of monazite-roasted products remains poor.The artificial mixed ore experiments result in a CeOF foam product with a content of 94.14%and a recovery of 85.80%,and a monazite tank product with a content of 73.53%and a recovery of 87.87%.Compared with the preroasting ore,the surface and interior of bastnaesite-roasted products develop numerous cracks and porosities,and no obvious structural damage is observed in monazite-roasted particles.As the roasting temperature increases,the mineral particles undergo recrystallization or closure,reducing the specific surface area of bastnaesite-roasted products and enhancing hydrophobicity,leading to diminished PA consumption.Fourier transform infrared and other flotation-relation tests show that PA is chemisorbed on the surface of CeOF.The MPT conditions are optimized in this study,which provides a reference for further advancing the efficient separation of bastnaesite and monazite. 展开更多
关键词 Rare earths Bastnaesite Monazite Mineral phase transformation Enhanced flotation separation Mechanisms
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Enhancing rapeseed biomass and yield estimation with ensemble learning and synergistic multidimensional features 认领 引用 被引量：1
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作者 Yanni ZHANG Xiaoyu CHAI +2 位作者 Jinpeng HU Yaxiao NIU Lizhang XU 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2026年第5期499-516,I0007-I0011,共18页
Accurate rapeseed yield and biomass estimation at the meter scale prior to harvest is crucial for precision harvesting.However,there is a scarcity of structured research on the estimation of rapeseed biomass yield.Thi... Accurate rapeseed yield and biomass estimation at the meter scale prior to harvest is crucial for precision harvesting.However,there is a scarcity of structured research on the estimation of rapeseed biomass yield.This study aims to address this gap by focusing on rapeseed in Jiangsu Province.Multispectral and RGB images captured by unmanned aerial vehicles(UAVs)were taken during key growth stages(budding,flowering,and podding stages).Using the extracted multidimensional features,we developed biomass-yield estimation models using four machine learning techniques.Subsequently,we employed ensemble learning with multidimensional,multi-stage data and used Shapley additive explanation(SHAP)for feature contribution analysis,thereby constructing a framework for predicting rapeseed harvest characteristics with high estimation accuracy and interpretability.Our analysis indicates that spectral‒texture is the most effective feature combination for biomass estimation,whereas the optimal combination for yield estimation includes three-dimensional(3D)spectral‒textural‒structural features.The synergy of these features,coupled with an ensemble learning model,significantly enhanced the accuracy of rapeseed biomass-yield estimation(biomass:coefficient of determination(R2)=0.72,relative root mean square error(rRMSE)=14.35%;yield:R2=0.68,rRMSE=13.67%).The proposed model also achieved stable prediction results across the variety‒density interaction.Overall,this study presents an accurate and generalizable approach for estimating rapeseed biomass yield across various planting patterns,offering new insights for precision harvesting. 展开更多
关键词 Ensemble learning Decision-making Feature synergy Temporal fit Planting pattern
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Metal-organic frameworks for sustainable recovery of precious metals:Advances in synthesis,applications,and multiscale mechanisms 认领 引用 被引量：2
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作者 Baocheng Zhou Guo Lin +3 位作者 Shixing Wang Tu Hu Yunfei An Libo Zhang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第2期417-445,共29页
The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative p... The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative potential of metal-organic frameworks(MOFs)as next-generation adsorbents for PM recovery,focusing on their synthesis,functionalization,and multiscale adsorption mechanisms.We critically analyze conventional pyrometallurgical and hydrometallurgical methods and highlight their limitations in terms of selectivity,energy consumption,and secondary pollution.In contrast,MOFs offer tunable porosity,abundant active sites,and tunable surface chemistry,enabling efficient PM capture via synergistic physical and chemical adsorption.Advanced modification techniques,including direct synthesis and post-synthetic modification,are reviewed to propose strategies for enhancing the adsorption kinetics and selectivity for Au,Ag,Pt,and Pd.Key structure-property relationships are established through multiscale characterization and thermodynamic models,revealing the critical roles of hierarchical porosity,soft donor atoms,and framework stability.Industrial challenges,such as aqueous stability and scalability,are addressed via Zr-O bond strengthening,hydrophobic functionalization,and support immobilization.This study consolidates the experimental and theoretical advances in MOF-based PM recovery and provides a roadmap for translating laboratory innovations into practical applications within the circular-economy framework. 展开更多
关键词 metal-organic frameworks precious metal recovery functionalization adsorption mechanisms circular economy
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Data-driven computing ligament loading mechanisms:integration of the computational ligament mechanics models with deep learning 认领 引用 被引量：1
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作者 Datao Xu Huiyu Zhou +7 位作者 Yi Yuan Zanni Zhang Tianle Jie Zhifeng Zhou Zixiang Gao Liangliang Xiang Meizi Wang Yaodong Gu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期628-672,共45页
Ankle injuries account for more than 25%of sports-related injuries.However,there is a lack of computational mechanics modeling and assessment tools for the ligament loading mechanism(LLM)caused by ankle injury.This st... Ankle injuries account for more than 25%of sports-related injuries.However,there is a lack of computational mechanics modeling and assessment tools for the ligament loading mechanism(LLM)caused by ankle injury.This study combines medical imaging data to construct the subject-specific ankle musculoskeletal model,which considers the subject's individualized characteristics and ligamentous attributes.Furthermore,we developed the structural constitutive model to restore the nonlinear short-term viscoelastic properties of the ligament-dense connective tissue,which can more realistically revert the LLM and reveal the mechanical properties of ankle injury.Based on the computational ligament mechanics(CLM)model,we developed a deep learning-based prediction model to predict LLM by CLM data-driven modeling.The modeling simulation results are highly consistent with the calculation results from the dual fluoroscopic imaging system,which demonstrated that the CLM model has high accuracy.The data-driven modeling performs exceptionally well in predicting ligament loading forces.The findings indicate that the constructed CLM data-driven model has the potential to enhance the accuracy and safety of ankle rehabilitation robots,while also providing personalized,dynamically adjusted rehabilitation training programs.The proposed comprehensive solutions would bring benefits to more patients with sports injuries and the general rehabilitation population,and promote the development and advancement of the research field of CLM and biomechanical variable prediction. 展开更多
关键词 Computational ligament mechanics Subject-specific musculoskeletal model Structural constitutive model Ankle ligament injury mechanisms Biomechanical variable prediction
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An Analytical Comparison of the Performance of Various Sensing Materials and Mechanisms for Efficient Detection Capability of Greenhouse Gas Emissions 认领 引用 被引量：2
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作者 Mostafa Rastgou Yong He Qianjing Jiang 《Engineering》 SCIE EI CSCD 2026年第1期317-331,共15页
Increasing greenhouse gas(GHG)emissions,such as methane(CH4),nitrous oxide(N2O),and carbon dioxide(CO2),from agricultural practices and land use have increased concerns about global warming.Accurate quantific... Increasing greenhouse gas(GHG)emissions,such as methane(CH4),nitrous oxide(N2O),and carbon dioxide(CO2),from agricultural practices and land use have increased concerns about global warming.Accurate quantification of the GHG using gas sensors is essential for effective management and sustainable agricultural practices.The objective of this study was to make an analytical comparison of the performance of various sensing materials for CH4-,N2O-,and CO2-based sensors in terms of sensitivity,response ratio,response time,and recovery time to establish an efficiency detection level of the GHG emissions.A literature review of 95 different studies showed that palladium-tin dioxide(Pd-SnO2)nano particles,indium oxide(In2O3)nano wires,and gold-lanthanum oxide-doped tin dioxide(AuLa2O3/SnO2)nanofibers had better performance compared to other sensing materials in CH4-,N2O-,and CO2-based sensors,respectively.The findings from reviewed studies revealed that nanoporous structures,nano wires,and nano fibers had faster response and recovery compared to conventional materials due to their big specific surface area(SSA).The designed ternary hybrid structure of sensing materials was more effective for CO2gas detection than the double hybrid structure,unlike CH4-and N2O-based sensors.However,constructive suggestions for researchers were discussed in the conclusion based on the current research status and challenges to improve the performance of GHG sensors. 展开更多
关键词 Analytical comparison Greenhouse gases Sensing materials Sensing mechanisms Sensor
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Load-induced human skeletal muscle hypertrophy:Mechanisms,myths,and misconceptions 认领 引用 被引量：1
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作者 Derrick W.Van Every Matthew J.Lees +2 位作者 Brandan Wilson Jeff Nippard Stuart M.Phillips 《Journal of Sport and Health Science》 SCIE CAS CSCD 2026年第4期271-286,共16页
Mechanical tension is widely recognized as the primary stimulus underlying the molecular mechanisms that influence muscle hypertrophy induced by resistance training.Despite this,several outdated or overstated concepts... Mechanical tension is widely recognized as the primary stimulus underlying the molecular mechanisms that influence muscle hypertrophy induced by resistance training.Despite this,several outdated or overstated concepts continue to persist,both in the scientific literature and in the practical application of resistance training coaching and program design.Claims that acute hormonal responses,metabolic stress,cell swelling or“the pump”meaningfully contribute to hypertrophy are not supported by scientific evidence.Additionally,the concept of sarcoplasmic hypertrophy as a distinct and functionally meaningful contributor to hypertrophy lacks strong evidence.In this review,we critically evaluate several persistent misconceptions and contrast them with evidence-based mechanistic insights into load-induced hypertrophy.Specifically,we discuss the role(or lack thereof)of systemic hormones,metabolites,and cell swelling in promoting muscle hypertrophy.We also critically review the concept of sarcoplasmic hypertrophy and propose that it is not a meaningful contributor to muscle hypertrophy.Lastly,to translate knowledge for trainees and coaches,we discuss the upper limit of muscle hypertrophy and provide readers with evidence-based,reasonable expectations for muscle hypertrophy.We aimed,through this review,to use scientific evidence to enhance our understanding of what drives muscle hypertrophy and provide an evidence-based framework for resistance exercise training. 展开更多
关键词 Mechanical tension Muscle mass Resistance training Skeletal muscle
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TGF-β/BMP signaling in skeletal biology:molecular mechanisms,regulatory networks,and therapeutic implications in development,regeneration,and disease 认领 引用 被引量：4
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作者 Junguang Liao Taofen Wu +9 位作者 Qi Zhang Panpan Shen Ziyi Huang Jiaqi Wang Pengxiang Zhang Sisi Lin Jiashun Pi Nenghua Zhang Haidong Wang Guiqian Chen 《Bone Research》 SCIE CAS CSCD 2026年第1期109-140,共32页
The transforming growth factor-β(TGF-β)and bone morphogenetic protein(BMP)signaling pathways are pivotal regulators of cellular processes,playing indispensable roles in embryogenesis,postnatal development,and tissue... The transforming growth factor-β(TGF-β)and bone morphogenetic protein(BMP)signaling pathways are pivotal regulators of cellular processes,playing indispensable roles in embryogenesis,postnatal development,and tissue homeostasis.These pathways are particularly critical within the skeletal system,as they coordinate osteogenesis,chondrogenesis,and bone remodeling through intricate molecular mechanisms.TGF-β/BMP signaling is primarily transduced via canonical Smad-dependent pathways(e.g.,ligands,receptors,and intracellular Smads)and the non-canonical Smad-independent(e.g.,p38 mitogen-activated protein kinase,MAPK)cascade.Both pathways converge on master transcriptional regulators,including Runx2 and Osterix,and their precise coordination is indispensable for skeletal development,maintenance,and repair.The dysregulation of TGF-β/BMP signaling contributes to a spectrum of skeletal dysplasia and bone pathologies.Advances in molecular genetics,particularly gene-targeting strategies and transgenic mouse models,have deepened our understanding of the spatiotemporal control of TGF-β/BMP signaling in bone and cartilage development.Moreover,emerging research underscores extensive crosstalk between TGF-β/BMP and other critical pathways,such as Wnt/β-catenin,mitogen-activated protein kinase(MAPK),parathyroid hormone(PTH)/PTH-related protein(PTHrP),fibroblast growth factors(FGF),Hedgehog,Notch,insulin-like growth factors(IGF)/insulin-like growth factors receptor(IGFR),Mammalian target of rapamycin(mTOR),and autophagy,forming an integrated regulatory network that ensures skeletal integrity.Our review synthesizes the current knowledge on the molecular components,regulatory mechanisms,and functional integration of TGF-β/BMP signaling in skeletal biology,with an emphasis on its roles in development,regeneration,and disease.By elucidating the molecular underpinnings of TGF-β/BMP pathways and their contextual interactions,we aim to highlight translational opportunities and novel therapeutic strategies for treating skeletal disorders. 展开更多
关键词 transforming growth factor molecular mechanismstgf bmp tissue homeostasisthese bone remodeling skeletal systemas skeletal biology molecular mechanisms bone morphogenetic
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Statistical characteristics and causal mechanisms of hydraulic fracturing induced seismicity in the Southern Sichuan Basin,China 认领 引用
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作者 Jingjing Dai Jianfeng Liu +8 位作者 Jianxiong Yang Lei Wang Fujun Xue Xiangchao Shi Shigui Dai Jun Hu Changwu Liu Yifan Tang Yougang Cai 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第3期2059-2074,共16页
In the Southern Sichuan Basin,China(SSBC),some moderate-sized seismic events(local magnitude MLranging between 4 and 5)have affected the safe production of shale gas.In this study,we used the recorded seismic data ... In the Southern Sichuan Basin,China(SSBC),some moderate-sized seismic events(local magnitude MLranging between 4 and 5)have affected the safe production of shale gas.In this study,we used the recorded seismic data from China national and temporary networks within the SSBC to obtain the relocated seismic hypocenter distribution between January 2016 and May 2017 based on the hypocenter double-difference(HypoDD)method.The statistical characteristics of microseismicity resulting from water injection in SSBC were analyzed,and the potential correlation between the event rate and statistical parameters,such as Gutenberg-Richter b-value,spatial correlation length,and fractal dimension,was quantified.Based on spatial variations of b-value and fractal dimension of event distribution,we identified two potential risk areas in the East and West of the Zhaotong shale gas block(YS108),respectively.The focal mechanism solutions(FMSs)of the observed seismic events(ML>2.5)near the H7 well pad were calculated utilizing the generalized cut-and-paste(gCAP)technique combined with P-wave polarity.The FMSs’results show reverse faults,and some of them have fault planes oriented in the N-S direction,causing oblique slip movement.In addition,we also inverted the regional stress field using high-quality FMSs,revealing that the maximum principal stress(σ1)trends NW–SE and lies nearly horizontal,in agreement with the World Stress Map and borehole breakout records.Considering geological structures and regional stress distribution,the reasons for induced seismicity were mainly linked to pore pressure diffusion.Our obtained findings may provide insights for future seismic risk assessment and mitigation strategies. 展开更多
关键词 Southern sichuan basin of China(SSBC) Hydraulic fracturing Microseismicity Spatio-temporal features Focal mechanism solution Stress inversion Causal mechanisms
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A Review on Cracking in Laser Additive Manufacturing of Nickel-Based Superalloys:Types,Formation Mechanisms,and Suppression Strategies 认领 引用 被引量：1
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作者 Tianxiang Lin Ciying Li +7 位作者 Hongkai Zhou Rui Chen Yi Li Can Cui Lizhang Zhang Maoyuan Li Zhenzhong Wang Wei‑Wei Xu 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期122-169,共48页
Nickel-based superalloys(Ni-based superalloys)have attracted extensive attention in laser additive manufacturing(LAM)due to their capability to directly fabricate complex and high-performance structural components.How... Nickel-based superalloys(Ni-based superalloys)have attracted extensive attention in laser additive manufacturing(LAM)due to their capability to directly fabricate complex and high-performance structural components.However,the rapid melting and solidification inherent to LAM result in intense thermal cycling,which induces high residual stresses and microstructural heterogeneity within the fabricated parts.Among them,cracks,as the most destructive defects,can have a typical crack density of over five per mm2 without optimized processes.Moreover,the sudden failures of components caused by cracks account for more than 40%of the total failures of additively manufactured nickel-based superalloy components.They can rapidly expand along grain boundaries or brittle phases,significantly weakening the mechanical properties of components and causing sudden failures.To achieve highly reliable additive manufacturing components,it is essential to conduct in-depth research on the types,formation mechanisms of cracks in Ni-based superalloys,and their relationships with microstructure,residual stress,etc.This paper systematically reviews the crack characteristics and formation mechanisms of Ni-based superalloys during the laser additive manufacturing process,post-manufacturing,and service stages and comprehensively summarizes the current mainstream crack suppression strategies,specifically including process parameter optimization,residual stress regulation,alloy composition design,and subsequent post-treatment technologies,as well as incorporating emerging machine learning-assisted methods.The review aims to provide theoretical insights and technical guidance toward the development of crack-free Ni-based superalloy components fabricated by laser additive manufacturing. 展开更多
关键词 crack formation mechanism crack suppression strategy crack types laser additive manufacturing Ni‑based superalloys
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Different poisoning behaviors of impurity gases on AB2-type Ti-based hydrogen storage alloys and their mechanisms 认领 引用 被引量：1
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作者 Yongpeng Chen Panpan Zhou +7 位作者 Jiapeng Bi Liuhui Zhu Lingchao Zhang Chengguo Yan Yuxiao Jia Xuezhang Xiao Xinhua Wang Lixin Chen 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第3期350-361,共12页
AB2-type Ti-based hydrogen storage alloys(HSAs)are promising for industrial hydrogen feeding systems due to their moderate operating conditions and high hydrogen storage capacity.However,their practical application... AB2-type Ti-based hydrogen storage alloys(HSAs)are promising for industrial hydrogen feeding systems due to their moderate operating conditions and high hydrogen storage capacity.However,their practical application is hindered by unavoidable impurity gases in hydrogen feedstocks,which significantly impair the performance of HSAs.Furthermore,the absence of clear evaluation criteria for poisoning behaviors and mechanisms hinders efforts to develop effective mitigation strategies.To address this gap,we used calculated surface interaction energy changes(ΔE)and experimental investigations to classify and rank the poisoning potential of impurity gases on a C14 Laves-phase Ti0.86Zr0.15Mn1.5Cr0.07(VFe)0.43 alloy.Impurity gases were classified into two types of weak-adsorption and strong-adsorption impurity gases by comparing theirΔE with that of H2(ΔE_(H2)=-1.6001 eV).AsΔE>ΔE_(H2) ,weak-adsorption impurity gases(Ar,He,CH4,and N2)induce poisoning by forming enriched blocking layers that impede H2 diffusion.This blocking effect can be alleviated under gas flow conditions.AsΔE<ΔE_(H2),strong adsorption gases are further divided into two types based on their reactivity with the alloy.Non-reactive strong-adsorption impurity gases(CO and CO2 )preferentially occupy surface active sites,blocking H2 adsorption and dissociation.In contrast,reactive strong-adsorption impurity gases(such as O2)form dense passivation layers that completely prevent hydrogen ingress.Accordingly,surface modification offers an effective approach to mitigate gas-induced poisoning by altering the interaction mechanism.This study establishes the parameter-based criteria for classifying impurity gas poisoning mechanisms in AB2-type Ti-based HSAs.It provides fundamental insights for guiding the design of poisoning-resistant materials and the development of mitigation strategies. 展开更多
关键词 Ti-based hydrogen storage alloys Impurity gas Surface interaction energy change Poisoning mechanisms
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Enhanced high-temperature wear resistance of CoNiCrAlY coatings:Strengthening mechanisms of ZrB2and Al2O3 reinforcements at 1000℃ 认领 引用 被引量：1
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作者 Zitao Jiang Kang Yang Shihong Zhang 《Metals Advances》 SCIE EI CAS CSCD 2026年第5期69-82,共14页
To avoid the wear failure of hot parts at 1000℃,a ZrB2-reinforced CoNiCrAlY coating was prepared using stepfashion mechanical alloying and high-velocity oxygen-fuel(HVOF)spraying.With CoNiCrAlY and CoNiCrAlYAl2... To avoid the wear failure of hot parts at 1000℃,a ZrB2-reinforced CoNiCrAlY coating was prepared using stepfashion mechanical alloying and high-velocity oxygen-fuel(HVOF)spraying.With CoNiCrAlY and CoNiCrAlYAl2O3 coatings as controls,the microstructure,mechanical properties,and tribological performance at 1000℃ of the CoNiCrAlY-ZrB2coatings with different ZrB2contents(10-25 wt%)were investigated.Compared with the CoNiCrAlY coating,the incorporation of either Al2O3 or ZrB2can improve the hardness,elastic modulus,and wear resistance of the coatings.However,the pinning effect of Al2O3 disrupts the oxide film integrity,leading to a debris accumulation on the CoNiCrAlY-10wt%Al2O3 coating with a wear rate of 68.61×10-14m3(N m)-1.In contrast,ZrB2promotes the formation of a protective oxide film composed of ZrO2,(Co,Ni)Cr2O4 ,Cr2O3,and Al2O3,resulting in a lower wear rate of 8.95×10-14 m3(N m)-1 for CoNiCrAlY-10wt%ZrB2coating.As the ZrB2content increases,the mechanical properties and wear resistance further improve.The CoNiCrAlY-20wt%ZrB2coating exhibits minimized COF(0.40)and wear rate(2.34×10-14 m3(N m)-1),demonstrating promising potential as a protective coating of hot parts. 展开更多
关键词 CoNiCrAlY-ZrB2 Step-fashion mechanical alloying High-velocity oxygen-fuel(HVOF) Phase Wear resistance
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Overcoming challenges in InP-based quantum dots:from nucleation mechanisms to high-performance quantum dot light-emitting diodes 认领 引用 被引量：1
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作者 Yangyang Bian Qian Li +3 位作者 Fei Chen Chunhe Yang Huaibin Shen Aiwei Tang 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2026年第3期42-79,共38页
Indium phosphide-based quantum dots(InP-based QDs)have emerged as promising candidates for nextgeneration display and optoelectronic technologies,offering exceptional photoluminescent(PL)properties including high effi... Indium phosphide-based quantum dots(InP-based QDs)have emerged as promising candidates for nextgeneration display and optoelectronic technologies,offering exceptional photoluminescent(PL)properties including high efficiency,narrow emission spectra,and precisely tunable wavelengths.Nevertheless,their widespread commercialization encounters substantial obstacles,primarily stemming from persistent challenges in synthetic control and material processing.Critical performance parameters—including photoluminescence quantum yield(PL QY,currently35 nm)as well as external quantum efficiency(EQE)and operational stability of device—continue to show only incremental improvements,highlighting the urgent need for fundamental breakthroughs in QDs synthesis,surface engineering and device optimization.This review systematically examines the nucleation mechanisms governing InP core formation and outlines key strategies for optimizing InP-based core/shell QDs.Furthermore,we present a comprehensive analysis of recent breakthroughs in red,green,and blue-emitting InP-based QD light-emitting diodes(QLEDs)development,focusing on modulation of charge transport engineering and suppression of charge leakage.Finally,we critically evaluate the remaining commercialization challenges and future prospects for InP-based QLEDs in next-generation display and optoelectronic technologies,outlining potential pathways for overcoming current limitations. 展开更多
关键词 indium phosphide quantum dot nucleation mechanism core/shell engineering ligand engineering quantum dot light-emitting diode
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Morphological Characteristics and Influencing Mechanisms of Traditional Tujia Villages from the Perspective of Spatial Genes:A Case Study of the Wuling Mountain Area,Southwest China 认领 引用 被引量：1
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作者 LIU Tianqi WANG Yunzhe +3 位作者 SUN Chang WU Zongshu XU Hui WANG Xu 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第3期492-508,共17页
Traditional villages represent a concentrated expression of the preservation and transmission of traditional culture within the context of rural revitalization,conveying important social,historical,and cultural values... Traditional villages represent a concentrated expression of the preservation and transmission of traditional culture within the context of rural revitalization,conveying important social,historical,and cultural values.Based on the perspective of spatial genes,this study selected 67 typical traditional villages in the Wuling Mountain Area in Southwest China as the case study.Between 2021 and 2024,by identifying and extracting spatial genes through the semi-structured interviews,Laddering Technique,and Landscape Pattern Index,and applying the geo-detector,the study explored the morphological characteristics and influencing mechanisms of traditional Tujia villages from the perspective of spatial genes of ecological-production-living.The findings are as follows:1)the spatial genes of traditional Tujia villages in the Wuling Mountain Area exhibit distinct patterns.Ecological genes,categorized by natural environment and layout,demonstrate a transition from clustered to dispersed patterns from the southern to northern regions.Production genes,categorized by location and cultivation patterns,show concentrated agricultural lands in the south and fragmented in the north.Living genes,divided into house plans,facades,and public buildings,reveal a higher prevalence of courtyards,stilted houses,and public buildings in northern areas.2)The spatial genes have evolved through the combined influence of four key factors:natural environment,socioeconomic development,policy systems,and ethnic culture.3)The integration of multi-source data and the application of both qualitative and quantitative approaches provide a comprehensive framework for analyzing traditional village form and their influencing mechanisms.This methodology offers valuable insights for developing sustainable strategies for the conservation of traditional Tujia traditional villages in this region. 展开更多
关键词 village morphology village spatial genes mechanism study ecological-production-living spaces traditional Tujia village Wuling Mountain Area,China
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Progress and perspectives of high-quality mechanical properties testing and mechanisms for 2D materials 认领 引用
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作者 Ting Su Chao Rong +5 位作者 Tianhao Yu Shan Hu Pan He Bowei Zhang Yabin Yan Fu-Zhen Xuan 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期32-64,共33页
Two-dimensional(2D)materials have attracted extensive attention from aerospace,integrated circuits,precision sensors,and flexible electronics due to their unique layered structure and excellent physicochemical propert... Two-dimensional(2D)materials have attracted extensive attention from aerospace,integrated circuits,precision sensors,and flexible electronics due to their unique layered structure and excellent physicochemical properties.In practice applications,the components of functional nanodevices are subjected to mechanical stress,which can affect the robust performance and structural reliability of these devices.Therefore,it is imperative to explore the mechanical properties and underlying mechanisms of 2D materials.However,researchers have an inadequate understanding of the accuracy of various in situ microscopy techniques and neglect the significance of high-quality,clean transfer techniques,resulting in deviated measurement results.There is now an urgent need to develop guidelines that allow researchers to select appropriate material transfer techniques and mechanical testing strategies based on the specific properties of 2D materials.Furthermore,the mechanical mechanism of 2D materials lacks systematic and comprehensive studies,which hinders researchers from deeply understanding the relationship between the material structure and the device performance.This work reviews the latest progress in the mechanics of 2D materials,focusing on the challenges of various transfer techniques and in situ microscopy techniques in mechanical testing,and provides effective guidance for the formulation of experimental schemes for mechanical testing.In addition,we offer detailed mechanistic insights into the fracture behavior,geometric dimension effects,edge defects,and interlayer bonding effects of 2D materials.This work is expected to advance the field development of 2D material mechanics. 展开更多
关键词 2D materials in situ microscopy techniques mechanical properties transfer techniques mechanical mechanisms
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