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P-aminobenzoic acid promotes retinal regeneration through activation of Ascl1a in zebrafish

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Neural Regeneration Research 2024年第8期19卷 1849-1856页

作者： Meihui He Mingfang Xia Qian Yang Xingyi Chen Haibo li xiaobo Xia Eye Center of Xiangya Hospital Central South UniversityChangshaHunan ProvinceChina Hunan Key Laboratory of Ophthalmology ChangshaHunan ProvinceChina National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina

The retina of zebrafish can regenerate completely after injury.M ultiple studies have demonstrated that metabolic alte rations occur during retinal damage;however to date no study has identified a link between metabolites and retinal regeneration of zebrafish.Here,we performed an unbiased metabolome sequencing in the N-methyl-D-aspartic acid-damaged retinas of zebrafish to demonstrate the metabolomic mechanism of retinal regeneration.Among the differentially-ex pressed metabolites,we found a significant decrease in p-aminobenzoic acid in the N-methyl-D-aspartic acid-damaged retinas of zebrafish.Then,we investigated the role of p-aminobenzoic acid in retinal regeneration in adult zebrafish.Impo rtantly,p-aminobenzoic acid activated Achaetescute complex-like 1a expression,thereby promoting Müller glia reprogramming and division,as well as Müller glia-derived progenitor cell proliferation.Finally,we eliminated folic acid and inflammation as downstream effectors of PABA and demonstrated that PABA had little effect on Müller glia distribution.Taken together,these findings show that PABA contributes to retinal regeneration through activation of Achaetescute complex-like 1a expression in the N-methyl-Daspartic acid-damaged retinas of zebrafish.

关键词： Achaetescute complex-like 1a(Ascl1a) metabolomics Müller glia p-aminobenzoic acid(PABA) retina regeneration zebrafish

Fuzzing:Progress,Challenges,and Perspectives

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Computers, Materials & Continua 2024年第1期78卷 1-29页

作者： Zhenhua Yu Zhengqi liu Xuya Cong xiaobo li li Yin Institute of Systems Security and Control College of Computer Science and TechnologyXi'an University of Science and TechnologyXi'an710054China School of Mathematics and Information Science Baoji University of Arts and SciencesBaoji721013China Institute of Systems Engineering Macao University of Science and TechnologyTaipaMacaoChina

As one of the most effective techniques for finding software vulnerabilities,fuzzing has become a hot topic in software security.It feeds potentially syntactically or semantically malformed test data to a target program to mine vulnerabilities and crash the system.In recent years,considerable efforts have been dedicated by researchers and practitioners towards improving fuzzing,so there aremore and more methods and forms,whichmake it difficult to have a comprehensive understanding of the technique.This paper conducts a thorough survey of fuzzing,focusing on its general process,classification,common application scenarios,and some state-of-the-art techniques that have been introduced to improve its performance.Finally,this paper puts forward key research challenges and proposes possible future research directions that may provide new insights for researchers.

关键词： Fuzzing vulnerability software testing software security

Spectral purification improves monitoring accuracy of the comprehensive growth evaluation index for film-mulched winter wheat

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Journal of Integrative Agriculture 2024年第5期23卷 1523-1540页

作者： Zhikai Cheng xiaobo Gu Yadan Du Zhihui Zhou Wenlong li xiaobo Zheng Wenjing Cai Tian Chang Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid AreasMinistry of Education/Northwest A&F University Yangling712100China

In order to further improve the utility of unmanned aerial vehicle(UAV)remote-sensing for quickly and accurately monitoring the growth of winter wheat under film mulching, this study examined the treatments of ridge mulching,ridge–furrow full mulching, and flat cropping full mulching in winter wheat.Based on the fuzzy comprehensive evaluation (FCE) method, four agronomic parameters (leaf area index, above-ground biomass, plant height, and leaf chlorophyll content) were used to calculate the comprehensive growth evaluation index (CGEI) of the winter wheat, and 14 visible and near-infrared spectral indices were calculated using spectral purification technology to process the remote-sensing image data of winter wheat obtained by multispectral UAV.Four machine learning algorithms, partial least squares, support vector machines, random forests, and artificial neural network networks(ANN), were used to build the winter wheat growth monitoring model under film mulching, and accuracy evaluation and mapping of the spatial and temporal distribution of winter wheat growth status were carried out.The results showed that the CGEI of winter wheat under film mulching constructed using the FCE method could objectively and comprehensively evaluate the crop growth status.The accuracy of remote-sensing inversion of the CGEI based on the ANN model was higher than for the individual agronomic parameters, with a coefficient of determination of 0.75,a root mean square error of 8.40, and a mean absolute value error of 6.53.Spectral purification could eliminate the interference of background effects caused by mulching and soil, effectively improving the accuracy of the remotesensing inversion of winter wheat under film mulching, with the best inversion effect achieved on the ridge–furrow full mulching area after spectral purification.The results of this study provide a theoretical reference for the use of UAV remote-sensing to monitor the growth status of winter wheat with film mulching.

关键词： mulched winter wheat machine learning fuzzy comprehensive evaluation comprehensive growth evaluation index unmanned aerial vehicle

Collaborative positioning for swarms:A brief survey of vision,liDAR and wireless sensors based methods

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Defence Technology（防务技术） 2024年第3期33卷 475-493页

作者： Zeyu li Changhui Jiang xiaobo Gu Ying Xu Feng zhou Jianhui Cui College of Geodesy and Geomatics Shandong University of Science and TechnologyQingdao266590China Geoloc Laboratory Universite Gustave EiffelParis77454France School of Automation Guangdong University of TechnologyGuangzhou510006China

As positioning sensors,edge computation power,and communication technologies continue to develop,a moving agent can now sense its surroundings and communicate with other agents.By receiving spatial information from both its environment and other agents,an agent can use various methods and sensor types to localize itself.With its high flexibility and robustness,collaborative positioning has become a widely used method in both military and civilian applications.This paper introduces the basic fundamental concepts and applications of collaborative positioning,and reviews recent progress in the field based on camera,liDAR(light Detection and Ranging),wireless sensor,and their integration.The paper compares the current methods with respect to their sensor type,summarizes their main paradigms,and analyzes their evaluation experiments.Finally,the paper discusses the main challenges and open issues that require further research.

关键词： Collaborative positioning Vision liDAR Wireless sensors Sensor fusion

Fractional Gradient Descent RBFNN for Active Fault-Tolerant Control of Plant Protection UAVs

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2129-2157页

作者： lianghao Hua Jianfeng Zhang Dejie li xiaobo Xi School of Mechanical Engineering Yangzhou UniversityYangzhou225009China College of Intelligent Manufacturing Yangzhou Polytechnic InstituteYangzhou225009China School of Automation Nanjing University of Aeronautics and AstronauticsNanjing211106China

With the increasing prevalence of high-order systems in engineering applications, these systems often exhibitsignificant disturbances and can be challenging to model accurately. As a result, the active disturbance rejectioncontroller (ADRC) has been widely applied in various fields. However, in controlling plant protection unmannedaerial vehicles (UAVs), which are typically large and subject to significant disturbances, load disturbances andthe possibility of multiple actuator faults during pesticide spraying pose significant challenges. To address theseissues, this paper proposes a novel fault-tolerant control method that combines a radial basis function neuralnetwork (RBFNN) with a second-order ADRC and leverages a fractional gradient descent (FGD) algorithm.We integrate the plant protection UAV model’s uncertain parameters, load disturbance parameters, and actuatorfault parameters and utilize the RBFNN for system parameter identification. The resulting ADRC exhibits loaddisturbance suppression and fault tolerance capabilities, and our proposed active fault-tolerant control law hasLyapunov stability implications. Experimental results obtained using a multi-rotor fault-tolerant test platformdemonstrate that the proposed method outperforms other control strategies regarding load disturbance suppressionand fault-tolerant performance.

关键词： Radial basis function neural network plant protection unmanned aerial vehicle active disturbance rejection controller fractional gradient descent algorithm

Graphene reinforced nanoarchitectonics of 3D interconnected magnetic-dielectric frameworks for high-efficient and anti-corrosive microwave absorbers

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Journal of Materials Science & Technology 2024年第1期168卷 194-207页

作者： Chenchen liu Xiaofang Feng Shuning liu Guo lin Zhongxiang Bai lingling Wang Ke Zhu Xiulan li xiaobo liu School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu611731China Sichuan Province Engineering Technology Research Center of Novel CN Polymeric Materials Chengdu611731China School of Chemical Engineering Northwest UniversityXi’an710069China Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and EngineeringSun Yat-sen UniversityGuangzhou510275China

The combination of high efficiency and environmental stability is vital to promote the commercial appli-cations of microwave absorption(MA)materials,yet remains challenging in the absence of facile routes.Here,we put forward a graphene-reinforced construct approach for one-pot synthesis of 3D intercon-nected magnetic-dielectric frameworks via pre-functionalization and subsequent assembly.Multiple in-teractions among discrete precursors are capable of manipulating the confined growth and interfacial self-assembly.Significant enhancements in MA properties are triggered in a straightforward manner us-ing ultralow feeding fractions of graphene oxide nanosheet.The minimum reflection loss is up to-60.1 dB(99.9999%wave absorption)and the effective absorption bandwidth reaches 5.9 GHz(almost covering the Ku band).Remarkably,based on the optimization by ultralow concentrations of graphene,the as-prepared nanoarchitecture simultaneously integrates strong absorption,broad bandwidth,and low matching thick-ness.The embedded graphene nanosheets serve as high-speed electron transmission channels and hollow resonance cavities,facilitating multimode attenuations and impedance-matching characteristics.Mean-while,the graphene-reinforced framework suppresses the corrosion of magnetic components,whose cor-rosion rate reduces by an order of magnitude.This study provides a simple procedure to boost magnetic-dielectric absorbers for comprehensive MA performances and enhanced corrosion resistance.

关键词： 3D Magnetic-dielectric framework Graphene nanosheet Microwave absorption Anti-corrosion

A novel mutation of glycogen synthase kinase-3β leads to a reduced level of GSK3βprotein in a patient with dilated cardiomyopathy

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Genes & Diseases 2024年第1期11卷 84-86页

作者： Ke Gong Zhiping Tan Haidan liu xiaobo liao Xinmin Zhou Bangliang Yin Shi Zeng Yao Yao Yifeng Yang li Xie Department of Cardiovascular Surgery The Second Xiangya Hospital of Central South UniversityCentral South UniversityChangshaHunan410011China Department of Ultrasound The Second Xiangya Hospital of Central South UniversityCentral South UniversityChangshaHunan 410011China Department of Blood Transfusion The Second Xiangya Hospital of Central South UniversityCentral South UniversityChangshaHunan 410011China

Dilated cardiomyopathy(DCM)is a frequently inherited heart condition.A familial transmission rate of 20%-35%has been documented,and most of these cases are autosomal dominant.This condition has a high rate of morbidit... 详细信息

关键词： GSK3β cardiomyopathy mortality

Thermal Transport across Polyethylene Chains

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Journal of Thermal Science 2022年第4期31卷 1061-1067页

作者： YANG Cong DUAN Xuhui ZHOU Jun liU Jun li xiaobo School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan 430074China Department of Mechanical and Aerospace Engineering North Carolina State University Raleigh 27695USA NNU-SUli Thermal Energy Research Center&Center for Quantum Transport and Thermal Energy Science School of Physics and Technology Nanjing Normal Universityanjing 210023China

In polymers,heat could transfer efficiently along the long polymer chains;however due to the finite length of polymer chains,such heat eventually has to pass across the chain-chain boundary which is less effective in heat transfer.This paper investigated the thermal transport across polyethylene chains with molecular dynamics(MD)simulations.Thermal transport across two polymer chains overlapping with each other is studied with different chain length(75 nm,150 nm and 251 nm)and chain-chain overlapping length.The results show that with increasing overlapping length,the total thermal conductance across the two chains exhibits maximum value,which is due to the increasing thermal resistance along the chains and the decreasing inter-chain thermal boundary resistance.Mathematically,we show that the total thermal resistance can be decomposed into two terms.The coupling term related to the inter-chain thermal resistance tends to saturate even with long overlapping length.

关键词： phonon transport polymer polyethylene thermal resistance van der Waals interaction

Laboratory and Semi-Field Evaluation on S-Methoprene Formulations Against Anopheles sinensis(Diptera:Culicidae)—Yuxi City,Yunnan Province,China

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China CDC weekly 2024年第6期6卷 105-108页

作者： Wenbo Hu Yijin Chen Ying liang Tianyun Su Qiyong liu Xuewen li xiaobo liu School of Public Health Cheeloo College of MedicineShandong UniversityJinan CityShandong ProvinceChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases WHO Collaborating Centre for Vector Surveillance and ManagementDepartment of Vector Biology and ControlNational Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina EcoZone International Riverside CityCAUSA Department of Environment and Health School of Public HealthCheeloo College of MedicineShandong UniversityJinan CityShandong ProvinceChina Department of Vector Control School of Public HealthShandong UniversityJi’nan CityShandong ProvinceChina Xinjiang Key Laboratory of Vector-borne Infectious Diseases Urumqi CityXinjiang830002

Summary What is already known about this topic?Anopheles sinensis(An.sinensis)is the predominant malaria vector in China.The impact of S-methoprene on the emergence process of mosquito larvae suggests its potential as a control method for vector mosquitoes.However,the efficacy of S-methoprene in controlling An.sinensis has not yet been demonstrated.What is added by this report?

关键词： sinensis China. predominant