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Application of carbon materials for Zn anode protection in aqueous Zn metal batteries

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Rare Metals 2024年第10期43卷 4807-4843页

作者： Cui-qin Chao yan-Nan Li yan Zhao College of Energy.Materials and Chemistry Inner Mongolia University School of Phy.ical Science and Technology Inner Mongolia University

Aqueous Zn metal batteries (AZMBs) have gained widespread attention due to their high theoretica specific capacity.good safety.and low *** Zn anodes suffer from serious problems of dendrites and side reactions,which should be solved by.modify.ng the Zn anode (Zn host,protective lay.r),electroly.e,and *** materials with structurally.tunable and phy.icochemical stability.properties have been widely.used in the study.of Zn anode protection and have also been reviewed in the past ***,review reports on carbon-based Zn anodes for Zn anode protection from new perspectives are still urgently.***,the timeliness of the review reports is very.valuable for researchers to timely.and accurately.understand the dy.amics of the research ***,this review firs reports the significance of AZMBs and summarizes the current main challenges that should be solved for practical ***,the way. to construct long-life Zn anodes using carbon materials from the perspectives of modified carbon materials with gradient properties (gradient zincophilicity.gradient electrical conductivity.and multigradient deposition) as protective lay.rs/hosts to guide Zn ions toward bottom-up gradient Zn deposition are *** addition,the recent advances of carbon materials for electroly.e and separator modifications are ***,the remaining challenges and future perspectives of carbon materials in AZMBs Zn anode protection are briefly.outlined.

关键词： Anode protection Aqueous Zn battery Carbon Gradient deposition

Control of chiral-optical activities by.magnetic field based on the transformation of achiral binary.cry.tals into chiral ternary.cry.tals

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Science China Chemistry 2024年第7期67卷 2300-2305页

作者： Zhiyan Chen yan Lv Wei qin College of Phy.ics Qingdao UniversityQingdao 266071China School of Phy.ics State Key Laboratory of Crystal MaterialsShandong UniversityJinan 250100China Shandong Linuo Photovoltaic Hi-Tech Co. Ltd.Jinan 250100China

Multicomponent self-assembled chiral sy.tems have attracted great attention due to their promising application in the area of spin-photonics and *** this work,through introducing an achiral third component into an achiral binary.cry.tal,a chiral organic ternary.cry.tal is fabricated,where both pronounced chiral-optical coupling and magnetic field dependence of chiral-optical activities are *** transformation of achiral structure into chiral structure generates a significant effect on the polarized state of light and the electron spin resonance ***,the coupling between circularly.polarized photon and spin is observed in chiral ternary.cry.tal with pronounced chiral orbit,where obvious magnetic field-transmissivity.loop is ***,temperature could increase the magnitude of lattice parameters to lead to a larger helix radius to increase the chiral orbit ***,this work indicates that the further exploration of photon-chiral orbit-spin interactions in organic chiral ternary.cry.tals is promising.

关键词： organic chiral ternary.cry.tals chiral orbit chiral-optical activities magnetic field

The Multiple Roles of Autophagy.in Neural Function and Diseases

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Neuroscience Bulletin 2024年第3期40卷 363-382页

作者： yan-yan Li Zheng-Hong qin Rui Sheng Department of Pharmacology.and Laboratory.of Aging and Nervous Diseases Jiangsu Key laboratory of Neuropsychiatric DiseasesCollege of Pharmaceutical Sciences of Soochow UniversitySuzhou 215123China

Autophagy.involves the sequestration and delivery.of cy.oplasmic materials to ly.osomes,where proteins,lipids,and organelles are degraded and *** to the way.the cy.oplasmic components are engulfed,autophagy.can be divided into macroautophagy.microautophagy.and chaperone-mediated ***,many.studies have found that autophagy.play. an important role in neurological diseases,including Alzheimer's disease,Parkinson's disease,Huntington's disease,neuronal excitotoxicity.and cerebral *** maintains cell homeostasis in the nervous sy.tem via degradation of misfolded proteins,elimination of damaged organelles,and regulation of apoptosis and ***-mTOR,Beclin 1,TP53,endoplasmic reticulum stress,and other signal pathway. are involved in the regulation of autophagy.and can be used as potential therapeutic targets for neurological ***,we discuss the role,functions,and signal pathway. of autophagy.in neurological diseases,which will shed light on the pathogenic mechanisms of neurological diseases and suggest novel targets for therapies.

关键词： Autophagy Neurodegenerative diseases Cerebral ischemia AMPK mTOR Beclin 1 TP53 Endoplasmic reticulum stress

Kinetic model of vibration screening for granular materials based on biological neural network

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Particuology 2024年第5期88卷 98-106页

作者： Zhan Zhao yan Zhang Fang qin Mingzhi Jin School of Agricultural Engineering Jiangsu UniversityZhenjiang212013China Shandong Academy.of Agricultural Machinery.Sciences Ji'nan250100China

The kinetic model is the theoretical basis for optimizing the structure and operation performance of vibration screening *** this paper,a biological neurody.amic equation and neural connections were established according to the motion and interaction properties of the material under vibration *** material feeding to the screen and the material passing through apertures were considered as excitatory.and inhibitory.inputs,respectively.and the generated stable neural activity.landscape was used to describe the material distribution on the 2D screen *** dy.amic process of material vibration screening was simulated using discrete element method(DEM).By.comparing the similarity.between the material distribution established using biological neural network(BNN)and that obtained using DEM simulation,the optimum coefficients of BNN model under a certain screening parameter were determined,that is,one relationship between the BNN model coefficients and the screening operation parameters was *** screening parameters were randomly.selected,and the corresponding relationships were established as a ***,with straw/grain ratio,aperture diameter,inclination angle,vibration strength in normal and tangential directions as inputs,five independent adaptive neuro-fuzzy.inference sy.tems(ANFIS)were established to predict the optimum BNN model coefficients,*** training results indicated that ANFIS models had good stability.and *** flexibility.and adaptability.of the proposed BNN method was demonstrated by.modeling material distribution under complex feeding conditions such as multiple regions and non-uniform rate.

关键词： Kinetic model Material distribution Vibration screening Biological neural network DEM simulation Adaptive neuro-fuzzy.inference sy.tems

Empirical likelihood for spatial cross-sectional data models with matrix exponential spatial specification

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Applied Mathematics(A Journal of Chinese Universities) 2024年第1期39卷 125-139页

作者： LIU y.n RONG Jian-rong qin y.ng-song Nanning University Nanning 530200China Center for Applied Mathematics of Guangxi and College of Mathematics and Statistics Guangxi Normal UniversityGuilin 541004China

In this paper,we study.spatial cross-sectional data models in the form of matrix exponential spatial specification(MESS),where MESS appears in both dependent and error *** empirical likelihood(EL)ratio statistics are established for the parameters of the MESS *** is shown that the limiting distributions of EL ratio statistics follow chi-square distributions,which are used to construct the confidence regions of model *** experiments are conducted to compare the performances of confidence regions based on EL method and normal approximation method.

关键词： MESS empirical likelihood con dence region

A Graph with Adaptive Adjacency.atrix for Relation Extraction

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Computers, Materials & Continua 2024年第9期80卷 4129-4147页

作者： Run y.ng yanpingChen Jiaxin y.n y.ngbin qin Engineering Research Center of Text Computing&Cognitive Intelligence Ministry of EducationGuizhou UniversityGuiyang550025China State Key.Laboratory.of Public Big Data Guizhou UniversityGuiyang550025China College of Computer Science and Technology Guizhou UniversityGuiyang550025China

The relation is a semantic expression relevant to two named entities in a *** a sentence usually.contains several named entities,it is essential to learn a structured sentence representation that encodes dependency.information specific to the two named *** related work,graph convolutional neural networks are widely.adopted to learn semantic dependencies,where a dependency.tree initializes the adjacency.***,this approach has two main ***,parsing a sentence heavily.relies on external toolkits,which can be ***,the dependency.tree only.encodes the sy.tactical structure of a sentence,which may.not align with the relational semantic *** this paper,we propose an automatic graph learningmethod to autonomously.learn a sentence’s structural *** of using a fixed adjacency.matrix initialized by.a dependency.tree,we introduce an Adaptive Adjacency.Matrix to encode the semantic dependency.between *** elements of thismatrix are dy.amically.learned during the training process and optimized by.task-relevant learning objectives,enabling the construction of task-relevant semantic dependencies within a *** model demonstrates superior performance on the TACRED and SemEval 2010 datasets,surpassing previous works by.1.3%and 0.8%,*** experimental results show that our model excels in the relation extraction task,outperforming prior models.

关键词： Relation extraction graph convolutional neural network adaptive adjacency.matrix

Excess pore pressure behavior and evolution in deep coalbed methane reservoirs

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International Journal of Mining Science and Technology 2024年第6期34卷 763-781页

作者： Changqing Liu Zhaobiao y.ng y.ng qin Xia y.n y.nhai Wang Zhe Wang Key.Laboratory.of Coalbed Methane Resources and Reservoir Formation Process Ministry of EducationChina University of Mining and TechnologyXuzhou 221008China School of Resources and Geosciences China University of Mining and TechnologyXuzhou 221116China National Engineering Research Center of Coalbed Methane Development&Utilization Beijing 100095China PetroChina Coalbed Methane Company.Limited Beijing 102200China SINOPEC East China Oil and Gas Company Nanjing 210000China

Deep coalbed methane(DCBM),an unconventional gas reservoir,has undergone significant advancements in recent y.ars,sparking a growing interest in assessing pore pressure dy.amics within these *** some production data analy.is techniques have been adapted from conventional oil and gas wells,there remains a gap in the understanding of pore pressure generation and evolution,particularly.in wells subjected to large-scale hy.raulic *** address this gap,a novel technique called excess pore pressure analy.is(EPPA)has been introduced to the coal seam gas industry.for the first time to our knowledge,which employ. dual-phase flow principles based on consolidation *** technique focuses on the generation and dissipation for excess pore-water pressure(EPWP)and excess pore-gas pressure(EPGP)in stimulated deep coal *** have been developed respectively.and numerical solutions have been provided using the finite element method(FEM).Application of this model to a representative field example reveals that excess pore pressure arises from rapid loading,with overburden weight transferred under undrained condition due to intense hy.raulic fracturing,which significantly.redistributes the weight-bearing role from the solid coal structure to the injected fluid and liberated gas within artificial pores over a brief ***,field application indicates that the dissipation of EPWP and EPGP can be actually.considered as the process of well production,where methane and water are extracted from deep coalbed methane wells,leading to consolidation for the artificial ***,history.matching results demonstrate that the excess-pressure model established in this study.provides a better explanation for the declining trends observed in both gas and water production curves,compared to conventional practices in coalbed methane reservoir engineering and petroleum *** research not only.enhances the understanding of DCBM re

关键词： Deep coalbed methane Consolidation Excess pore-water pressure Excess pore-gas pressure Production data analy.is

Network pharmacology.and molecular dy.amics study.of the effect of the Astragalus-Coptis drug pair on diabetic kidney.disease

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World Journal of Diabetes 2024年第7期15卷 1562-1588页

作者： Mo-yan Zhang Shu-qin Zheng Liaoning University.of Traditional Chinese Medicine Liaoning University of Traditional Chinese MedicineShenyang 110847Liaoning ProvinceChina Department of Endocrinology The Affiliated Hospital of Liaoning University of Traditional Chinese MedicineShenyang 110032Liaoning ProvinceChina

BACKGROUND Diabetic kidney.disease(DKD)is the primary.cause of end-stage renal *** Astragalus-Coptis drug pair is frequently.employ.d in the management of ***,the precise molecular mechanism underly.ng its therapeutic effect remains *** To investigate the sy.ergistic effects of multiple active ingredients in the Astragalus-Coptis drug pair on DKD through multiple targets and *** The ingredients of the Astragalus-Coptis drug pair were collected and screened using the TCMSP database and the SwissADME *** targets were predicted using the SwissTargetPrediction database,while the DKD differential gene expression analy.is was obtained from the Gene Expression Omnibus *** targets were acquired from the GeneCards,Online Mendelian Inheritance in Man database,and DisGeNET databases,with common targets identified through the Venny.*** protein-protein interaction network and the“disease-active ingredient-target”network of the common targets were constructed utilizing the STRING database and Cy.oscape software,followed by.the analy.is of the interaction relationships and further screening of key.targets and core active *** Ontology.GO)function and Ky.to Ency.lopedia of Genes and Genomes(KEGG)pathway.enrichments were performed using the DAVID *** tissue and organ distributions of key.targets were *** and AutoDock software validate the molecular docking between the core ingredients and key.***,molecular dy.amics(MD)simulations were conducted to simulate the optimal complex formed by.interactions between core ingredients and key.target *** A total of 27 active ingredients and 512 potential targets of the Astragalus-Coptis drug pair were *** were 273 common targets between DKD and the Astragalus-Coptis drug *** protein-protein interaction network topology.analy.is,we identified 9 core active ingredients and 10 key.*** and KEGG pathwa

关键词： Astragalus membranaceus Coptis chinensis Franch Diabetic kidney.disease Network pharmacology Molecular docking Molecular dy.amics simulation

ResNeSt-biGRU: An Intrusion Detection Model Based on Internet of Things

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Computers, Materials & Continua 2024年第4期79卷 1005-1023页

作者： yan Xiang Daofeng Li Xiny. Meng Chengfeng Dong Guanglin qin School of Computer and Electronics Information Guangxi UniversityNanning530004China Guangxi Colleges and Universities Key.Laboratory.of Multimedia Communications and Information Processing Guangxi UniversityNanning530004China

The rapid expansion of Internet of Things (IoT) devices across various sectors is driven by.steadily.increasingdemands for interconnected and smart technologies. Nevertheless, the surge in the number of IoT device hascaught the attention of cy.er hackers, as it provides them with expanded avenues to access valuable data. Thishas resulted in a my.iad of security.challenges, including information leakage, malware propagation, and financialloss, among others. Consequently. developing an intrusion detection sy.tem to identify.both active and potentialintrusion traffic in IoT networks is of paramount importance. In this paper, we propose ResNeSt-biGRU, a practicalintrusion detection model that combines the strengths of ResNeSt, a variant of Residual Neural Network, andbidirectionalGated RecurrentUnitNetwork (biGRU).Our ResNeSt-biGRUframework diverges fromconventionalintrusion detection sy.tems (IDS) by.employ.ng this dual-lay.redmechanism that exploits the temporal continuityand spatial feature within network data streams, a methodological innovation that enhances detection *** conjunction with this, we introduce the PreIoT dataset, a compilation of prevalent IoT network behaviors, totrain and evaluate IDSmodels with a focus on identify.ng potential intrusion traffics. The effectiveness of proposedscheme is demonstrated through testing, wherein it achieved an average accuracy.of 99.90% on theN-BaIoT datasetas well as on the PreIoT dataset and 94.45% on UNSW-NB15 dataset. The outcomes of this research reveal thepotential of ResNeSt-biGRU to bolster security.measures, diminish intrusion-related vulnerabilities, and preservethe overall security.of IoT ecosy.tems.

关键词： Internet of Things cy.erattack intrusion detection internet security