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Dynamic damage characteristics and control mechanism of rocks anchored by constant resistance and energy absorption material

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International Journal of Mining Science and Technology 2025年第1期35卷 57-67页

作者： Bei Jiang Kunbo Wu Qi Wang Yetai Wang wenrui Wu Yaoxia Feng Yanbo Zhang State Key Laboratory for Tunnel Engineering China University of Mining&Technology-BeijingBeijing 100083China State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of TechnologyBeijing 100081China Collaborative Innovation Center of Green Development and Ecological Restoration of Mineral Resources North China University of Science and TechnologyTangshan 063210China

With resource exploitation and engineering construction gradually going deeper,the surrounding rock dynamic disaster becomes frequent and *** anchorage support is a common control method of surrounding rock in underground *** study the dynamic damage characteristics of anchored rock and the energy absorption control mechanism of dynamic disasters,a new type of constant resistance and energy absorption(CREA)material with high strength,high elongation and high energy absorption characteristics is developed.A contrast test of rockbursts in anchored rock with different support materials is *** test results show that the surface damage rates and energy release degree of anchored rock with common bolt(CB)and CREA are lower than those of unanchored rock,*** total energy,average energy and maximum energy released by CREA anchored rock are 30.9%,94.3%and 84.4%lower than those of CB anchored *** with unanchored rock,the rockburst peak stress in the CREA anchored rock is increased by 39.9%,and the rockburst time is delayed by 53.2%.Based on the rockburst energy calculation model,the evolution law of rockburst peak stress and energy release is *** control mechanism of CREA support units on rock dynamic failure is clarified.

关键词： Constant resistance and energy absorption Anchored rock Rockburst Peak stress Control mechanism

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GFRF R-CNN:Object Detection Algorithm for Transmission Lines

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Computers, Materials & Continua 2025年第1期82卷 1439-1458页

作者： Xunguang Yan wenrui Wang Fanglin Lu Hongyong Fan Bo Wu Jianfeng Yu Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai201210China University of Chinese Academy of Sciences Beijing100049China Jingwei Textile Machinery Co. Ltd.Beijing100176China

To maintain the reliability of power systems,routine inspections using drones equipped with advanced object detection algorithms are essential for preempting power-related *** increasing resolution of drone-captured images has posed a challenge for traditional target detection methods,especially in identifying small objects in high-resolution *** study presents an enhanced object detection algorithm based on the Faster Regionbased Convolutional Neural Network(Faster R-CNN)framework,specifically tailored for detecting small-scale electrical components like insulators,shock hammers,and screws in transmission *** algorithm features an improved backbone network for Faster R-CNN,which significantly boosts the feature extraction network’s ability to detect fine *** Region Proposal Network is optimized using a method of guided feature refinement(GFR),which achieves a balance between accuracy and *** incorporation of Generalized Intersection over Union(GIOU)and Region of Interest(ROI)Align further refines themodel’s *** results demonstrate a notable improvement in mean Average Precision,reaching 89.3%,an 11.1%increase compared to the standard Faster *** highlights the effectiveness of the proposed algorithm in identifying electrical components in high-resolution aerial images.

关键词： Faster R-CNN transmission line object detection GIOU GFR

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Short-Term Photovoltaic Power Prediction Based onMulti-Stage Temporal Feature Learning

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Energy Engineering 2025年第2期122卷 747-764页

作者： Qiang Wang Hao Cheng wenrui Zhang Guangxi Li Fan Xu Dianhao Chen Haixiang Zang Jiangsu Qitian Power Construction Group Co. Ltd.Lianyungang222000China Lianyungang Zhiyuan Electricity Design Co. Ltd.Lianyungang222000China Lianyungang Power Supply Company State Grid Jiangsu Electric Power Co.Ltd.Lianyungang222000China School of Electrical and Power Engineering Hohai UniversityNanjing210098China

Harnessing solar power is essential for addressing the dual challenges of global warming and the depletion of traditional energy ***,the fluctuations and intermittency of photovoltaic(PV)power pose challenges for its extensive incorporation into power ***,enhancing the precision of PV power prediction is particularly *** existing studies have made progress in short-term prediction,issues persist,particularly in the underutilization of temporal features and the neglect of correlations between satellite cloud images and PV power *** factors hinder improvements in PV power prediction *** overcome these challenges,this paper proposes a novel PV power prediction method based on multi-stage temporal feature ***,the improved LSTMand SA-ConvLSTMare employed to extract the temporal feature of PV power and the spatial-temporal feature of satellite cloud images,***,a novel hybrid attention mechanism is proposed to identify the interplay between the two modalities,enhancing the capacity to focus on the most relevant ***,theTransformermodel is applied to further capture the short-termtemporal patterns and long-term dependencies within multi-modal feature *** paper also compares the proposed method with various competitive *** experimental results demonstrate that the proposed method outperforms the competitive methods in terms of accuracy and reliability in short-term PV power prediction.

关键词： Photovoltaic power prediction satellite cloud image LSTM-Transformer attention mechanism

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Advances on ALV-J in China over the past two decades

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Journal of Integrative Agriculture 2025年第2期24卷 429-440页

作者： wenrui Fan Yuntong Chen Mengmeng Yu Yongzhen Liu Yulong Gao Avian Immunosuppressive Diseases Division State Key Laboratory for Animal Disease Control and PreventinonHarbin Veterinary Research InstituteChinese Academy of Agricultural Sciences Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose Yangzhou University

Avian leukosis is an important tumorigenic disease caused by the avian leukosis virus(ALV) in poultry. ALVs belong to the retroviral family and are classified into 11 subgroups(ALV-A to ALV-K). Among them, ALV-J was first introduced into China in 1999, spreading widely and evolving from infecting meat-type chickens to layer chickens and Chinese local chickens. ALV-J typically induces myeloid leukosis in infected chickens, but also induces a high proportion of hemangiomas in infected layer chickens, posing a serious threat to poultry breeds in China. As a retrovirus, the genome of ALV-J has undergone significant mutations, which may be related to the expansion of the infection host range and increased pathogenicity of ALV-J. Over the last two decades, the introduction and spread of ALV-J in China have caused substantial losses to the poultry industry. Specialized detection assays have been developed to combat ALV-J infections in China. Additionally, ongoing research aims to employ gene-editing technology as a novel antiviral strategy to control the spread of ALV infections. This review highlights the importance of understanding the impact of ALV-J on the Chinese poultry industry and emphasizes the need for ongoing research and innovation to safeguard poultry health and promote sustainable poultry farming practices in China.

关键词： subgroup J avian leucosis epidemiology molecular variation pathogenicity prevention and control

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Triazine-COF@Silicon nanowire mimicking plant leaf to enhance photoelectrocatalytic CO_(2)reduction to C2þchemicals

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Green Energy & Environment 2025年第2期10卷 422-432页

作者： wenrui Wan Fanhua Meng Si Chen Jianhua Wang Chunyan Liu Yan Wei Chenpu He Li Fan Qiaolan Zhang Weichun Ye Huanwang Jing State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical EngineeringLanzhou UniversityLanzhou730000GansuChina Key Laboratory of Green Chemical Media and Reactions(Ministry of Education) School of Chemistry and Chemical EngineeringHenan Normal UniversityXinxiang453007HenanChina School of Chemical Engineering Lanzhou University of Arts and SciencesLanzhou730010China

Converting CO_(2)and water into valuable chemicals like plant do is considered a promising approach to address both environmental and energy *** inspiration from the structures of natural leaves,we designed and synthesized a novel copper-coordinated covalent triazine framework(CuCTF)supported by silicon nanowire arrays on wafer *** marks the first-ever application of such a hybrid material in the photoelectrocatalytic reduction of CO_(2)under mild *** Si@CuCTF6 heterojunction has exhibited exceptional selectivity of 95.6%towards multicarbon products(C^(2+))and apparent quantum efficiency(AQE)of 0.89%for carbon-based *** active sites of the catalysts are derived from the nitrogen atoms of unique triazine ring structure in the ordered porous framework and the abundant Cu-N coordination sites with bipyridine ***,through DFT calculations and operando FTIR spectra analysis,we proposed a comprehensive mechanism for the photoelectrocatalytic CO_(2)reduction,confirming the existence of key intermediate species such as*CO_(2)-,*=C=O,*CHO and*CO-CHO *** work not only provides a new way to mimic photosynthesis of plant leaves but also gives a new opportunity to enter this research field in the future.

关键词： Silicon Photoelectrocatalysis CO_(2)reduction Covalent triazine framework Sustainable chemistry

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SpaGRA:Graph augmentation facilitates domain identification for spatially resolved transcriptomics

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Journal of Genetics and Genomics 2025年第1期52卷 93-104页

作者： Xue Sun Wei Zhang wenrui Li Na Yu Daoliang Zhang Qi Zou Qiongye Dong Xianglin Zhang Zhiping Liu Zhiyuan Yuan Rui Gao Center of Intelligent Medicine School of Control Science and EngineeringShandong UniversityJinanShandong 250061China MOE Key Lab of Bioinformatics and Bioinformatics Division of BNRIST Department of AutomationTsinghua UniversityBeijing 100084China Institute of Precision Medicine Peking University Shenzhen HospitalShenzhenGuangdong 518036China Department of Clinical Laboratory The Second HospitalCheeloo College of MedicineShandong UniversityJinanShandong 250033China Institute of Science and Technology for Brain-Inspired Intelligence Center for Medical Research and InnovationShanghai Pudong HospitalFudan University Pudong Medical CenterFudan UniversityShanghai 200433China

Recent advances in spatially resolved transcriptomics(SRT)have provided new opportunities for characterizing spatial structures of various ***-based geometric deep learning has gained widespread adoption for spatial domain identification ***,most methods define adjacency relation between cells or spots by their spatial distance in SRT data,which overlooks key biological interactions like gene expression similarities,and leads to inaccuracies in spatial domain *** tackle this challenge,we propose a novel method,SpaGRA(https://***/sunxue-yy/SpaGRA),for automatic multi-relationship construction based on graph *** uses spatial distance as prior knowledge and dynamically adjusts edge weights with multi-head graph attention networks(GATs).This helps SpaGRA to uncover diverse node relationships and enhance message passing in geometric contrastive ***,SpaGRA uses these multi-view relationships to construct negative samples,addressing sampling bias posed by random *** results show that SpaGRA presents superior domain identification performance on multiple datasets generated from different *** SpaGRA,we analyze the functional regions in the mouse hypothalamus,identify key genes related to heart development in mouse embryos,and observe cancer-associated fibroblasts enveloping cancer cells in the latest Visium HD ***,SpaGRA can effectively characterize spatial structures across diverse SRT datasets.

关键词： Spatial domain identification Spatially resolved transcriptomics Multi-head graph attention networks Graph augmentation Geometric contrastive learning

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A self-adaptive inorganic in-situ separator by particle crosslinking for nonflammable lithium-ion batteries

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Journal of Energy Chemistry 2025年第1期100卷 469-480页

作者： Jiarui Yang Jiuzhou Liu wenrui Cai Ziyu Zhao Shan Wang Lu He Shanshan Lv Zhiwei Zhu Zhongfeng Ji Guojiang Wen Hua Li Yuanming Zhai Xuewei Fu Wei Yang Yu Wang College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065SichuanChina

All-safe liquid-state lithium-ion batteries(ASLS-LIBs) is of great interest as they can potentially combine the safety of all-solid-state batteries with the high performance and low manufacturing cost of traditional liquid-state LIBs. However, the practical success of ASLS-LIBs is bottlenecked by the lack of advanced separator technology that can simultaneously realize high performances in puncturing-tolerability,fire-resistance, and importantly, wetting-capability with non-flammable liquid-electrolytes. Here, we propose a concept of inorganic in-situ separator(IISS) by hybrid-sol physical crosslinking directly onto the electrode surface to address the above challenges. Particularly, the hybrid-sol is designed with silica nanoparticles as the building block and poly(vinylidene difluoride) nanoparticles as the crosslinking agent. The critical factors for controlling the IISS microstructures and properties have been systematically investigated. The advantages of the IISS have been confirmed by its fast wetting with various fireresistant liquid-electrolytes, customizable thickness and porous structures, robust interface with planar or three-dimensional(3D)-structured electrodes, and importantly, unexpected self-adaptability against puncturing. Enabled by the above merits, a fire-resistant ASLS-LIB is successfully assembled and demonstrated with stable electrochemical performance. This sol-crosslinked IISS may open an avenue for the studies on the next-generation separator technology, cell assembling, solid electrolyte processing as well as non-flammable secondary batteries.

关键词： Safe liquid-state lithium-ion batteries In-situ separator technology Hybrid-sol physical crosslinking Electrode coating Inorganic nonflammable separator

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Atomically Dispersed Metal Atoms:Minimizing Interfacial Charge Transport Barrier for Efficient Carbon-Based Perovskite Solar Cells

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Nano-Micro Letters 2025年第5期17卷 604-616页

作者： Yanying Shi Xusheng Cheng Yudi Wang wenrui Li Wenzhe Shang Wei Liu Wei Lu Jiashuo Cheng Lida Liu Yantao Shi State Key Laboratory of Fine Chemicals Frontier Science Center for Smart MaterialsSchool of ChemistryDalian University of TechnologyDalian 116024People’s Republic of China School of Narcotics Control and Public Order Studies Criminal Investigation PoliceUniversity of ChinaShenyang 110854People’s Republic of China

Carbon-based perovskite solar cells(C-PSCs)exhibit notable stability and ***,the power conversion efficiency(PCE)is significantly hindered by energy level mismatches,which result in interfacial charge transport barriers at the electrode-related ***,we report a back electrode that utilizes atomically dispersed metallic cobalt(Co)in carbon nanosheets(Co_1/CN)to adjust the interfacial energy *** electrons in the d-orbitals of Co atoms disrupt the electronic symmetry of the carbon nanosheets(CN),inducing a redistribution of the electronic density of states that leads to a downward shift in the Fermi level and a significantly reduced interfacial energy *** a result,the C-PSCs using Co1/CN as back electrodes achieve a notable PCE of 22.61%with exceptional long-term stability,maintaining 94.4%of their initial efficiency after 1000 h of continuous illumination without *** work provides a promising universal method to regulate the energy level of carbon electrodes for C-PSCs and paves the way for more efficient,stable,and scalable solar technologies toward commercialization.

关键词： Perovskite solar cells Carbon electrode Charge transport Energy level alignment

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Chondroitinase ABC combined with Schwann cell transplantation enhances restoration of neural connection and functional recovery following acute and chronic spinal cord injury

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Neural Regeneration Research 2025年第5期20卷 1467-1482页

作者： wenrui Qu Xiangbing Wu Wei Wu Ying Wang Yan Sun Lingxiao Deng Melissa Walker Chen Chen Heqiao Dai Qi Han Ying Ding Yongzhi Xia George Smith Rui Li Nai-Kui Liu Xiao-Ming Xu Spinal Cord and Brain Injury Research Group Stark Neurosciences Research InstituteDepartment of Neurological SurgeryIndiana University School of MedicineIndianapolisINUSA Department of Hand Surgery the Second Hospital of Jilin UniversityChangchunJilin ProvinceChina Shriners Hospitals Pediatric Research Center Temple University School of MedicinePhiladelphiaPAUSA Department of Anatomy&Cell Biology Indiana University School of MedicineIndianapolisINUSA

Schwann cell transplantation is considered one of the most promising cell-based therapy to repair injured spinal cord due to its unique growth-promoting and myelin-forming properties.A the Food and Drug Administration-approved Phase I clinical trial has been conducted to evaluate the safety of transplanted human autologous Schwann cells to treat patients with spinal cord injury.A major challenge for Schwann cell transplantation is that grafted Schwann cells are confined within the lesion cavity,and they do not migrate into the host environment due to the inhibitory barrier formed by injury-induced glial scar,thus limiting axonal reentry into the host spinal *** we introduce a combinatorial strategy by suppressing the inhibitory extracellular environment with injection of lentivirus-mediated transfection of chondroitinase ABC gene at the rostral and caudal borders of the lesion site and simultaneously leveraging the repair capacity of transplanted Schwann cells in adult rats following a mid-thoracic contusive spinal cord *** report that when the glial scar was degraded by chondroitinase ABC at the rostral and caudal lesion borders,Schwann cells migrated for considerable distances in both rostral and caudal *** Schwann cell migration led to enhanced axonal regrowth,including the serotonergic and dopaminergic axons originating from supraspinal regions,and promoted recovery of locomotor and urinary bladder ***,the Schwann cell survival and axonal regrowth persisted up to 6 months after the injury,even when treatment was delayed for 3 months to mimic chronic spinal cord *** findings collectively show promising evidence for a combinatorial strategy with chondroitinase ABC and Schwann cells in promoting remodeling and recovery of function following spinal cord injury.

关键词： axonal regrowth bladder function chondroitinase ABC functional recovery glial scar lentivirus migration Schwann cell spinal cord injury transplantation

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供应链透明度与企业风险承担

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财经理论与实践 2025年第1期46卷 76-84页

作者：曹越张澳陈文瑞湖南大学工商管理学院湖南长沙410082 广东外语外贸大学会计学院广东广州510006

利用2007—2020年我国A股上市企业数据,探究供应链透明度对企业风险承担水平的影响。研究表明:供应链透明度的提升有助于提高企业风险承担水平,特别是对市场地位较低、声誉较差、行业竞争程度较小以及市场化程度较低的企业提升效果更好... 详细信息

利用2007—2020年我国A股上市企业数据,探究供应链透明度对企业风险承担水平的影响。研究表明:供应链透明度的提升有助于提高企业风险承担水平,特别是对市场地位较低、声誉较差、行业竞争程度较小以及市场化程度较低的企业提升效果更好。机制检验结果显示,供应链透明度通过缓解融资约束、降低代理成本来提高企业风险承担水平。拓展性分析发现,供应链透明度作用下企业风险承担水平提高,会有更多的债务融资、更高的资本支出水平以及更大的并购规模等,最终有利于增加企业价值。鉴于此,中国证监会应完善供应链信息的披露准则,企业应发挥供应链信息的融资和治理效应,投资者应关注企业供应链信息的价值发现功能。

关键词：供应链透明度企业风险承担融资约束代理成本企业价值

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