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SP-141 targets Trs85 to inhibit rice blast fungus infection and functions as a potential broadspectrum antifungal agent

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Plant Communications 2024年第2期5卷 169-184页

作者： Xi-Yu Wu Bo Dong xue-Ming Zhu Ying-Ying Cai lin li Jian-ping Lu Bin Yu Jing-li Cheng Fei Xu Jian-Dong Bao Ying Wang Xiao-Hong liu Fu-Cheng lin State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Institute of BiotechnologyZhejiang UniversityHangzhou 310058Zhejiang ProvinceChina State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Institute of Plant Protection and MicrobiologyZhejiang Academy of Agricultural SciencesHangzhou 310058Zhejiang ProvinceChina Department of Pharmacology and Nutritional Science College of MedicineThe University of KentuckyLexingtonKY 40506USA Markey Cancer Center College of MedicineThe University of KentuckyLexingtonKY 40506USA College of life Sciences Zhejiang UniversityHangzhou 310058Zhejiang ProvinceChina Institute of Pesticide and Environmental Toxicology Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and InsectsZhejiang UniversityHangzhou 310058Zhejiang ProvinceChina Institute of Edible Fungi Shanghai Academy of Agricultural SciencesShanghai 201106ShanghaiChina

Rice blast is a devastating disease worldwide,threatening rice production and food *** blast fun-gus Magnaporthe oryzae invades the host via the appressorium,a specialized pressure-generating struc-ture that generates enormous turgor pressure to penetrate the host ***,owing to ongoing evolution of fungicide resistance,it is vitally important to identify new targets and ***,we show that Trs85,a subunit of the transport protein particle III complex,is essential for appressorium-mediated infection in *** explain how Trs85 regulates autophagy through Ypt1(a small guano-sine triphosphatase protein)in *** then identify a key conserved amphipathic a helix within Trs85 that is associated with pathogenicity of *** computer-aided screening,we identify a lead compound,SP-141,that affects autophagy and the Trs85–Ypt1 ***-141 demonstrates a substantial capacity to effectively inhibit infection caused by the rice blast fungus while also exhibiting wide-ranging potential as an antifungal agent with broad-spectrum *** together,our data show that Trs85 is a potential new target and that SP-141 has potential for the control of rice *** thus provide a novel strategy that may help in thefight against rice blast.

关键词： Magnaporthe oryzae rice blast TRAPPIII complex trs85 fungicide

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Hydrogen evolution reaction activity enhancement from active site turnover mechanism

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Journal of Energy Chemistry 2024年第5期92卷 629-638页

作者： Jiacheng Wang Tongqing Yang Xiyue li Haiqin Zhang Yixue Zhang Yan He Hongyao xue College of Electromechanical Engineering Qingdao University of Science and TechnologyQingdao 266061ShandongChina

Although heteroatom doping is an effective way to improve the catalytic activity of transition metal phosphides(TMPs),the mechanism of activity enhancement needs to be further *** this end,we synthesized a Co-doped Ni_(2)P catalyst as a research model and found that the introduction of heterogeneous Co reconstructed the charge distribution around the P site,which effectively enhanced the hydrogen evolution reaction(HER)activity of the pure Ni_(2)*** on in-situ Raman real-time monitoring technology,we monitored for the first time that Co doping triggered a switch of the active site(from the original Co-active site to the P-active site),which promoted the adsorption of H_(2)O to enhance the HER *** density functional theory(DFT)calculations indicated that the P site of Co-Ni_(2)P expressed the highest activity and the Ni site of pure Ni_(2)P expressed the highest activity,which further confirms the in-situ Raman monitoring *** active site turnover mechanism discovered in this study will undoubtedly provide more rational and targeted ideas for future catalyst design.

关键词： In-situ Raman observation Heteroatom doping Activesites turnover Hydrogen production

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Experiment and modelling of texture and sliding direction dependence on finger friction behavior

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Friction 2024年第9期12卷 1955-1968页

作者： Yuanzhe li xue ZHOU Pengpeng BAI Zhonghuan XIANG Yonggang MENG liran MA Yu TIAN State Key Laboratory of Tribology in Advanced Equipment School of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Humans rely on their fingers to sense and interact with external *** the tribological behavior between finger skin and object surface is crucial for various fields,including tactile perception,product appearance design,and electronic skin *** describing finger frictional behavior is always challenging,given the complex structure of the *** this study,the texture and sliding direction dependence of finger skin friction was quantified based on explicit mathematic *** proposed double-layer model of finger skin effectively described the nonlinear elastic response of skin and predicted the scaling-law of effective elastic modulus with contact ***,the skin friction model on textured surface considering adhesion and deformation factors was *** revealed that adhesive term dominated finger friction behavior in daily life,and suggested that object texture size mainly influenced friction-induced vibrations rather than the average friction *** with digital image correlation(DIC)technique,the effect of sliding direction on finger friction was *** was found that the anisotropy in finger friction was governed by the finger’s ratchet pawl structure,which also contributes to enhanced stick-slip vibrations in the distal sliding *** proposed friction models can offer valuable insights into the underlying mechanism of skin friction under various operating conditions,and can provide quantitative guidance for effectively encoding friction into haptics.

关键词： finger friction tactile perception tribological model textured surface sliding direction

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A hybrid spatial-temporal deep learning prediction model of industrial methanol-to-olefins process

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Frontiers of Chemical Science and Engineering 2024年第4期18卷 73-85页

作者： Jibin Zhou xue li Duiping liu Feng Wang Tao Zhang Mao Ye Zhongmin liu National Engineering Research Center of Lower-Carbon Catalysis Technology Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Yulin Innovation Institute for Clean Energy Clean Energy Innovation Institute of Chinese Academy of SciencesYulin 719053China xuelang Industrial Intelligence Technology Co. Ltd.Wuxi 214000China

Methanol-to-olefins,as a promising non-oil pathway for the synthesis of light olefins,has been successfully *** accurate prediction of process variables can yield significant benefits for advanced process control and *** challenge of this task is underscored by the failure of traditional methods in capturing the complex characteristics of industrial processes,such as high nonlinearities,dynamics,and data distribution shift caused by diverse operating *** this paper,we propose a novel hybrid spatial-temporal deep learning prediction model to address these ***,a unique data normalization technique called reversible instance normalization is employed to solve the problem of different data ***,convolutional neural network integrated with the self-attention mechanism are utilized to extract the temporal ***,a multi-graph convolutional network is leveraged to model the spatial ***,the extracted temporal and spatial features are fused as input into a fully connected neural network to complete the ***,the outputs are denormalized to obtain the ultimate *** monitoring results of the dynamic trends of process variables in an actual industrial methanol-to-olefins process demonstrate that our model not only achieves superior prediction performance but also can reveal complex spatial-temporal relationships using the learned attention matrices and adjacency matrices,making the model more ***,this model is deployed onto an end-to-end Industrial Internet Platform,which achieves effective practical results.

关键词： methanol-to-olefins process variables prediction spatial-temporal self-attention mechanism graph convolutional network

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Energy evolution and structural health monitoring of coal under different failure modes:An experimental study

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 917-928页

作者： Yarong xue xueqiu He Dazhao Song Zhenlei li Majid Khan Taoping Zhong Fei Yang School of Civil and Resources Engineering University of Science and Technology BeijingBeijing 100083China Zhong-an Academy of Safety Engineering Beijing 100083China

Structural instability in underground engineering,especially in coal-rock structures,poses significant safety ***,the development of an accurate monitoring method for the health of coal-rock bodies is *** focus of this work is on understanding energy evolution patterns in coal-rock bodies under complex conditions by using shear,splitting,and uniaxial compression *** examine the changes in energy parameters during various loading stages and the effects of various failure modes,resulting in an innovative energy dissipation-based health evaluation technique for *** results show that coal bodies go through transitions between strain hardening and softening mechanisms during loading,indicated by fluctuations in elastic energy and dissipation energy *** tensile failure,the energy profile of coal shows a pattern of “high dissipation and low accumulation” before peak *** the other hand,shear failure is described by “high accumulation and low dissipation” in energy *** failure modes correlate with an accelerated increase in the dissipation energy before destabilization,and a significant positive correlation is present between the energy dissipation rate and the stress state of the coal samples.A novel mathematical and statistical approach is developed,establishing a dissipation energy anomaly index,W,which categorizes the structural health of coal into different danger *** method provides a quantitative standard for early warning systems and is adaptable for monitoring structural health in complex underground engineering environments,contributing to the development of structural health monitoring technology.

关键词： energy dissipation structural health monitoring early warning coal-rock mechanics failure mode

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Tipping Point Detection Using Reservoir Computing

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Research 2024年第1期2023卷 779-790页

作者： Xin li Qunxi Zhu Chengli Zhao Xuzhe Qian xue Zhang Xiaojun Duan Wei lin College of Science National University of Defense TechnologyChangshaHunan 410073China Research Institute of Intelligent Complex Systems and MOE Frontiers Center for Brain Science Fudan UniversityShanghai 200433China Shanghai Artificial Intelligence Laboratory Shanghai 200232China School of Mathematical Sciences SCMSSCAMand CCSBFudan UniversityShanghai 200433China

Detection in high fidelity of tipping points,the emergence of which is often induced by invisible changes in internal structures or/and external interferences,is paramountly beneficial to understanding and predicting complex dynamical systems(CDSs).Detection approaches,which have been fruitfully developed from several perspectives(e.g.,statistics,dynamics,and machine learning),have their own advantages but still encounter difficulties in the face of high-dimensional,fluctuating ***,using the reservoir computing(RC),a recently notable,resource-conserving machine learning method for reconstructing and predicting CDSs,we articulate a model-free framework to accomplish the detection only using the time series observationally recorded from the underlying unknown CDSs.

关键词： computing record ping

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Predicting the Prognosis and Immunotherapeutic Response of Triple-Negative Breast Cancer by Constructing a Prognostic Model Based on CD8+T Cell-Related Immune Genes

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Biomedical and Environmental Sciences 2024年第6期37卷 581-593页

作者： Nani li Xiaoting Qiu Jingsong xue limu Yi Mulan Chen Zhijian Huang Department of Medical Oncology Clinical Oncology School of Fujian Medical UniversityFujian Cancer HospitalFuzhou 350014FujianChina Department of Breast Surgical Oncology Clinical Oncology School of Fujian Medical UniversityFujian Cancer HospitalFuzhou 350014FujianChina Departmen of Pathology Shenzhen Longhua Maternity and Child Healthcare HospitalShenzhen 518109GuangdongChina

Objective Triple-negative breast cancer(TNBC)poses a significant challenge for treatment ***8+T cells,which are pivotal immune cells,can be effectively analyzed for differential gene expression across diverse cell populations owing to rapid advancements in sequencing *** leveraging these genes,our objective was to develop a prognostic model that accurately predicts the prognosis of patients with TNBC and their responsiveness to *** Sample information and clinical data of TNBC were sourced from The Cancer Genome Atlas and METABRIC *** the initial stage,we identified 67 differentially expressed genes associated with immune response in CD8+T ***,we narrowed our focus to three key genes,namely CXCL13,GBP2,and GZMB,which were used to construct a prognostic *** accuracy of the model was assessed using the validation set data and receiver operating characteristic(ROC)***,we employed various methods,including Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway,immune infiltration,and correlation analyses with CD274(PD-L1)to explore the model's predictive efficacy in immunotherapeutic ***,we investigated the potential underlying biological pathways that contribute to divergent treatment *** We successfully developed a model capable of predicting the prognosis of patients with *** areas under the curve(AUC)values for the 1-,3-,and 5-year survival predictions were 0.618,0.652,and 0.826,*** this risk model,we stratified the samples into high-and low-risk *** KEGG enrichment analysis,we observed that the high-risk group predominantly exhibited enrichment in metabolism-related pathways such as drug and chlorophyll metabolism,whereas the low-risk group demonstrated significant enrichment in cytokine ***,immune landscape analysis revealed noteworthy variations between(PD-L1)expression and risk scores,indicating that o

关键词： Breast Cancer Immunotherapy Prognosis CD8+T cells PD-L1

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The efficiency and safety evaluation of hemoglobin hydrolysate as a non-heme iron fortifier

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Food Science and Human Wellness 2024年第2期13卷 999-1010页

作者： Dejiang xue Shuai Jiang Miao Zhang Kai Shan RenéLametsch Chunbao li Key Laboratory of Meat Processing and Quality Control Ministry of EducationKey Laboratory of Meat ProcessingMinistry of Agriculture and Rural AffairsJiangsu Collaborative Innovation Center of Meat ProductionProcessing and Quality ControlCollege of Food Science and TechnologyNanjing Agricultural UniversityNanjing 210095China Department of Food Science University of CopenhagenFrederiksberg C DK-1958Denmark

Hemoglobin hydrolysate is derived from the enzymatic degradation of *** work aimed to evaluate whether hemoglobin hydrolysate promotes the absorption of non-heme iron and the safety of absorbed iron in mice by analyzing the iron binding content,iron circulation,and liver *** found that hemoglobin hydrolysate promoted the absorption of non-heme iron with high efficiency in duodenum by spontaneously binding non-heme iron during digestion,and increased hepatic iron content by up-regulating divalent metal transporter 1,zinc transporter 14,but hepatic iron content only increased at 3 *** iron entered the blood through ferroportin without restriction at 3 weeks,and excessive iron entered the liver and then affected the hepatocyte membranes permeability and lipid synthesis through oxidative *** the prolongation of dietary intervention,the up-regulated hepcidin acted on the ferroportin to restrict excess iron from entering the blood,and then the hepatic homeostasis *** addition,hemoglobin hydrolysate enhanced the hepatic antioxidant *** together,hemoglobin hydrolysate has a strong ability to promote the absorption of non-heme iron in vivo,and the absorbed iron is relatively safe due to the regulation of hepcidin.

关键词： Hemoglo bin hydrolysate Non-heme iron Absorption liver homeostasis Hepcidin

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MOF-derived Cu embedded into N-doped mesoporous carbon as a robust support of PdAu nanocatalysts for ethanol electrooxidation

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Rare Metals 2024年第3期43卷 1083-1094页

作者： Yu-Fu Huang Peng Wu Jun-ping Tang Jian Yang Jing li Shuai Chen xue-ling Zhao ChengChen Bin-Wei Zhang Yan-Yun Ma Wei-Heng Shi Dong-Hai lin Shi-Gang Sun School of Energy and Materials Shanghai Engineering Research Center of Advanced Thermal Functional MaterialsShanghai Key Laboratory of Engineering Materials Application and EvaluationShanghai Polytechnic UniversityShanghai201209China State Key Laboratory of Physical Chemistry of Solid Surfaces Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen361005China School of Chemistry and Chemical Engineering Chongqing UniversityChongqing401331China Center of Advanced Energy Technology and Electrochemistry Institute of Advanced Interdisciplinary StudiesChongqing UniversityChongqing400044China Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou215123China Department of Materials Science and Engineering Drexel UniversityPhiladelphiaPA19104USA

Metal-organic frameworks(MOFs)h ave attracted widespread attention due to their large surface area and porous *** designing the nanostructures of MOFs to promote their application in ethanol electrooxidation is still a ***,a novel Cu-NCNs(Cu-nitrogen-doped carbon nanotubes)support was synthesized by pyrolysis of melamine(MEL)and Cu-ZIF-8 together,and then,Pd-Au nanoalloys were loaded by sodium borohydride reduction method to prepare PdAu@Cu-NCNs *** generating mesoporous carbon with high specific surface area and favorable electron and mass transport can be used as a potential excellent carrier for PdAu *** addition,the balance of catalyst composition and surface structure was tuned by controlling the content of Pd and ***,the best-performed Pd_(2)Au_(2)@Cu-NCN-1000-2(where 1000 means the carrier calcination temperature,and 2 means the calcination constant temperature time)catalyst exhibits better long-term stability and electrochemical activity for ethanol oxidation in alkaline media(4.80 A·mg^(-1)),which is 5.05 times higher than that of commercial Pd/C(0.95 A·mg^(-1)).Therefore,this work is beneficial to further promoting the application of MOFs in direct ethanol fuel cells(DEFCs)and can be used as inspiration for the design of more efficient catalyst support structures.

关键词： Metal-organic frameworks(MOFs) N-doped Mesoporous carbon PdAu Ethanol electrooxidation

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Cross-linked Electrospun Gel Polymer Electrolytes for lithium-Ion Batteries

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Chinese Journal of Polymer Science 2024年第8期42卷 1021-1028页

作者： xue Gong Qin Xiao Qing-Yin li Wen-Cui liang Feng Chen Long-Yu li Shi-Jie Ren College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065China

lithium-ion batteries(liBs)benefit from an effective electrolyte system design in both terms of their safety and energy storage ***,a series of precursor membranes with high porosity were produced using electrospinning technology by mixing PVDF and triblock copolymer(PS-PEO-PS),resulting in a porous structure with good interconnections,which facilitates the absorbency of a large amount of electrolyte and further increases the ionic conductivity of gel polymer electrolytes(GPEs).It has been demonstrated that post-cross-linking of the precursor membranes increa ses the rigidity of the nanofibers,which allows the polymer film to be dimensionally sta ble up to 260℃while maintaining superior electrochemical *** obtained cross-linked GPEs(CGPEs)showed high ionic conductivity up to 4.53×10^(-3)S·cm^(-1).With the CGPE-25,the assembled li/liFeP04 half cells exhibited good rate capability and maintained a capacity of 99.4%and a coulombic efficiency of99.3%at 0.1 *** results suggest that the combination of electrospinning technique and post-cross-linking is an effective method to construct polymer electrolytes with high thermal stability and steadily decent electrochemical performance,particularly useful for lithium-ion battery applications that require high-temperature usage.

关键词： Electrospinning Cross-linked Gel polymer electrolytes lithium-ion batteries

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