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Viral Tools for Neural Circuit Tracing

Neuroscience Bulletin 2022年第12期38卷 1508-1518页

作者： Qing Liu Yang Wu Huadong Wang Fan Jia Fuqiang Xu The Brain Cognition and Brain Disease institute(BCBDi) Shenzhen Key Laboratory of Viral Vectors for BiomedicineShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsNMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal ProductsShenzhen Key Laboratory of Quality Control Technology for Virus-Based TherapeuticsGuangdong Provincial Medical Products AdministrationShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Key Laboratory of Magnetic Resonance in Biological SystemsWuhan Center for Magnetic ResonanceInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430071China Center for Excellence in Brain Science and intelligence Technology Chinese Academy of SciencesShanghai 200031China University of Chinese Academy of Sciences Beijing 100049China

Neural circuits provide an anatomical basis for functional ***,dissecting the structure of neural circuits is essential to understanding how the brain *** neurotropic viruses are important tools for neural circuit tracing with many advantages over non-viral tracers:they allow for anterograde,retrograde,and trans-synaptic delivery of tracers in a cell type-specific,circuit-selective *** this review,we summarize the recent developments in the viral tools for neural circuit tracing,discuss the key principles of using viral tools in neuroscience research,and highlight innovations for developing and optimizing viral tools for neural circuit tracing across diverse animal species,including nonhuman primates.

关键词： Neural circuit Viral tool Anterograde Retrograde Trans-synaptic

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intelligent tools and techniques for modern management

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Chinese business Review 2009年第2期8卷 46-54页

作者： Andy Stefǎnescu Laura Stefǎnescu ion Liviu Ciora Faculty of Economics and business administration University of Craiova Craiova 200207 Romania Financial Accounting Management Faculty of Craiova Spiru Haret University Craiova 200585 Romania

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improved and sustainable agroecosystem, food security andenvironmental resilience through zero tillage with emphasis on soilsof temperate and subtropical climate regions: A review

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international Soil and Water Conservation Research 2022年第3期10卷 530-545页

作者： Waseem Hassan Yu'e Li Tahseen Saba Fanta Jabbi Bin Wang Andong Cai Jianshuang Wu institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural Sciences100081BeijingChina Key Laboratory of Agricultural Environment Ministry of Agriculture and Rural AffairsBeijing 100081China Key Laboratory of National Forestry administration on Forest Resources Conservation and Ecological Safety in the Upper Reaches of the Yangtze River College of ForestrySichuan Agricultural UniversityChengdu611130China

Tillage is one of the agricultural management practices that significantly impacts agroecosystems,crop production,and the *** tillage(CT)practices alter the soil environment and induce organic constituents’decomposition and the emission of greenhouse gases(GHGs),which contribute to the greenhouse effect and global *** organic matter,biological diversity,aggregate stability,high erosion and degradation of the soil environment,and sequestration strength are additional factors associated with CT,which negatively affect food security and environmental *** a result,CT is no more beneficial in the long run;consequently,zero tillage(ZT)could be a viable candidate for sustainable *** review to establish this systematically compared and summarized the effect of tillage systems(*** and ZT)by synthesizing and interpreting published data(>150 peer-reviewed articles)with>200 observations on soil ecosystem services and properties/agroecosystem,crop yield/food security,GHG emission,and carbon sequestration/environmental *** review established that ZT improves soil structure,aggregate stability,biological diversity,organic matter and nutrients,water and water use efficiency,and reduces soil degradation,erosion,tillage machinery impacts,and GHG *** allows timely seeding and better crop growth,increases yield and food security,improves carbon sequestration,strengthens soil storage potential,and helps to mitigate the adverse effects of climate change on environmental *** on various latent direct and indirect benefits,resource-saving ability,and broad adoption scope of ZT,it is corroborated that ZT is a practical and potential approach for improved and sustainable agroecosystem,food security,and environmental resilience.

关键词： soil tillage agroecosystem

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Hep-Pred: Hepatitis C Staging Prediction Using Fine Gaussian SVM

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Computers, Materials & Continua 2021年第10期69卷 191-203页

作者： Taher M.Ghazal Marrium Anam Mohammad Kamrul Hasan Muzammil Hussain Muhammad Sajid Farooq Hafiz Muhammad Ammar Ali Munir Ahmad Tariq Rahim Soomro Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)Bangi43600SelangorMalaysia School of information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan CCSiS Institute of Business ManagementKarachi75190SindhPakistan

Hepatitis C is a contagious blood-borne infection,and it is mostly asymptomatic during the initial ***,it is difficult to diagnose and treat patients in the early stages of *** disease’s progression to its last stages makes diagnosis and treatment more *** this study,an Ai system based on machine learning algorithms is presented to help healthcare professionals with an early diagnosis of hepatitis *** dataset used for our Hep-Pred model is based on a literature study,and includes the records of 1385 patients infected with the hepatitis C *** in this dataset received treatment dosages for the hepatitis C virus for about 18 months.A former study divided the disease into four main *** stages have proven helpful for doctors to analyze the liver’s *** traditional way to check the staging is the biopsy,which is a painful and time-consuming *** article aims to provide an effective and efficient approach to predict hepatitis C *** this purpose,the proposed technique uses a fine Gaussian SVM learning algorithm,providing 97.9%accurate results.

关键词： Hepatitis C artificial intelligence Hep-Pred support vector machine machine learning hepatitis staging

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The high-resolution community velocity model V2.0 of southwest China,constructed by joint body and surface wave tomography of data recorded at temporary dense arrays

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中国科学:地球科学英文版 2023年第10期66卷 2368-2385页

作者： Ying LiU Ziye YU Zhiqi ZHANG Huajian YAO Weitao WANG Haijiang ZHANG Hongjian FANG Lihua FANG Laboratory of Seismology and Physics of Earth’s interior School of Earth and Space SciencesUniversity of Science and Technology of ChinaHefei230026China institute of Geophysics China Earthquake AdministrationBeijing100081China Mengcheng National Geophysical Observatory Mengcheng233500China CAS Center for Excellence in Comparative Planetology Mengcheng233500China School of Earth Sciences and Engineering Sun Yat-Sen UniversityZhuhai519080China

The Sichuan-Yunnan area is located at the southeastern margin of the Tibetan Plateau,where tectonic movement is strong with deep and large faults distributed in a staggered manner,which results in strong seismic activities and severe earthquake *** the 21st century,several earthquakes of magnitude 7.0 or above occurred in this region,which have caused huge casualties and economic losses,especially the 2008 M_(s)8.0 Wenchuan *** present,earthquake monitoring and source parameter inversion,strong earthquake hazard analysis and disaster assessment are still the focus of seismological researches in the Sichuan-Yunnan *** high-precision 3D community velocity models are fundamental for these *** this paper,by assembling seismic observations at permanent seismic stations and several temporary dense seismic arrays in this region,we obtained about 7.06 million body wave travel time data(including absolute and differential travel times)using a newly developed artificial intelligence body wave arrival time picking method and about 100,000 Rayleigh wave phase velocity dispersion data in the period range of 5-50 s from ambient noise cross-correlation *** on this abundant dataset,we obtained the three-dimensional high resolution V_p and V_(s)model in the crust and uppermost mantle of southwest(SW)China by adopting the joint body and surface wave travel time tomography method considering the topography effect starting from the first version of community velocity model in SW China(SWChina CVM-1.0).Compared to SWChina CVM-1.0,this newly determined velocity model has higher resolution and better data *** is accepted by the China Seismic Experimental Site as the second version of the community velocity model in SW China(SWChina CVM-2.0).The new model shows strong lateral heterogeneities in the shallow *** disconnected low velocity zones are observed in the middle to lower crust,which is located in the Songpan-Ganzi block

关键词： Southwest China Joint tomography Community velocity model Seismic activity Fault zone

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Development history and prospect of remote sensing technology in coal geology of China

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international Journal of Coal Science & Technology 2020年第2期7卷 311-319页

作者： Kelong Tan Junwei Qiao General Prospecting institute of China National administration of Coal Geology Beijing100039China College of Geology and Environment Xi’an University of Science and TechnologyXi’an710054ShaanxiChina Aerophoto Grammetry and Remote Sensing Bureau China National Administration of Coal GeologyXi’an710100ShaanxiChina

Coal remote sensing technology was founded in the period of coal resources survey after the founding of People’s Republic of *** Grammetry&Remote Sensing Bureau of China National administration of Coal Geology was established,specializing in the application and promotion of coal remote sensing *** the rapid development of coal geological exploration in China,coal remote sensing technology has evolved from coal geology based survey to comprehensive survey that factors in resources,environment,ecology and so *** paper summarizes the general situation,theories,development process,key research and future of remote sensing technology for coal mining in *** over 50 years,the history of China’s coal remote sensing technology can be divided into five stages:aero-geological mapping,coal remote sensing theory experimental research,application research and promotion,architecture planning and productionisation,“3S”technology integration and *** paper expounds the main technical progress,application fields,major projects and major achievements in various historical periods,and points out that the coal remote sensing has entered a unified development stage of“Aviation,Aerospace and Ground”,with a focus on high-resolution remote sensing,hyperspectral remote sensing,radar remote sensing,“3S”technology integration and multi-means comprehensive exploration and *** the future,coal remote sensing technology will develop rapidly in data mass,technology integration,evaluation intelligence,integration application programming,system visualization,*** remote sensing technology has entered the industrial development from technology application.

关键词： Remote sensing Coal remote sensing Coal geology industrialization

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Application of Deep Learning on Single-cell RNA Sequencing Data Analysis:A Review

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Genomics, Proteomics & Bioinformatics 2022年第5期20卷 814-835页

作者： Matthew Brendel Chang Su Zilong Bai Hao Zhang Olivier Elemento Fei Wang Department of Population Health Sciences Weill Cornell MedicineCornell UniversityNew YorkNY 10065USA institute for Computational Biomedicine Caryl and Israel Englander Institute for Precision MedicineDepartment of Physiology and BiophysicsWeill Cornell MedicineCornell UniversityNew YorkNY 10065USA Department of Health Service administration and Policy Temple UniversityPhiladelphiaPA 19122USA

Single-cell RNA sequencing(scRNA-seq)has become a routinely used technique to quantify the gene expression profile of thousands of single cells *** of scRNA-seq data plays an important role in the study of cell states and phenotypes,and has helped elucidate biological processes,such as those occurring during the development of complex organisms,and improved our understanding of disease states,such as cancer,diabetes,and coronavirus disease 2019(COViD-19).Deep learning,a recent advance of artificial intelligence that has been used to address many problems involving large datasets,has also emerged as a promising tool for scRNA-seq data analysis,as it has a capacity to extract informative and compact features from noisy,heterogeneous,and high-dimensional scRNA-seq data to improve downstream *** present review aims at surveying recently developed deep learning techniques in scRNA-seq data analysis,identifying key steps within the scRNA-seq data analysis pipeline that have been advanced by deep learning,and explaining the benefits of deep learning over more conventional analytic ***,we summarize the challenges in current deep learning approaches faced within scRNA-seq data and discuss potential directions for improvements in deep learning algorithms for scRNA-seq data analysis.

关键词： Single-cell RNA sequencing Single-cell sequencing Deep learning Deep neural network Artificial intelligence

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Enabling Smart Cities with Cognition Based intelligent Route Decision in Vehicles Empowered with Deep Extreme Learning Machine

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Computers, Materials & Continua 2021年第1期66卷 141-156页

作者： Dildar Hussain Muhammad Adnan Khan Sagheer Abbas Rizwan Ali Naqvi Muhammad Faheem Mushtaq Abdur Rehman Afrozah Nadeem School of Computational Sciences Korea Institute for Advanced StudySeoul02455Korea Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Unmanned Vehicle Engineering Sejong UniversitySeoul05006Korea Department of information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan

The fast-paced growth of artificial intelligence provides unparalleled opportunities to improve the efficiency of various industries,including the transportation *** worldwide transport departments face many obstacles following the implementation and integration of different vehicle *** of these tasks is to ensure that vehicles are autonomous,intelligent and able to grow their repository of *** learning has recently been implemented in wireless networks,as a major artificial intelligence branch,to solve historically challenging problems through a data-driven *** this article,we discuss recent progress of applying machine learning into vehicle networks for intelligent route decision and try to focus on this emerging *** Extreme Learning Machine(DELM)framework is introduced in this article to be incorporated in vehicles so they can take human-like *** present GPS compatibility issues make it difficult for vehicles to take real-time decisions under certain *** leads to the concept of vehicle controller making *** proposed DELM based system for self-intelligent vehicle decision makes use of the cognitive memory to store route *** overcomes inadequacy of the current in-vehicle route-finding technology and its *** the relevant route-related information for the ride will be provided to the user based on its *** the DELM method,a high degree of precision in smart decision taking with a minimal error rate is *** investigation,it has been observed that proposed framework has the highest accuracy rate with 70%of training(1435 samples)and 30%of validation(612 samples).Simulation results validate the intelligent prediction of the proposed method with 98.88%,98.2%accuracy during training and validation respectively.

关键词： DELM ANN ioT feedforward route decision prediction smart city

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inhibition of CD82 improves colitis by increasing NLRP3 deubiquitination by BRCC3

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Cellular & Molecular immunology 2023年第2期20卷 189-200页

作者： Jae-Sung Kim Hyo Keun Kim Joongho Lee Sein Jang Euni Cho Seok-Jun Mun Seokhyun Yoon Chul-Su Yang Department of Bionano Technology Hanyang UniversitySeoul04673Korea institute of Natural Science&Technology Hanyang UniversityAnsan15588Korea Department of Molecular and Life Science Hanyang UniversityAnsan15588Korea Center for Bionano intelligence Education and Research Ansan15588Korea Department of Computer Science College of SW ConvergenceDankook UniversityYongin16890Korea Department of Electronics&Electrical Engineering College of EngineeringDankook UniversityYongin16890Korea

CD82 is a transmembrane protein that is involved in cancer suppression and activates immune cells;however, information on the NLRP3 inflammasome is limited. Herein, we show that although CD82 suppressed the activation of the NLRP3 inflammasome in vivo and in vitro, CD82 deficiency decreased the severity of colitis in mice. Furthermore, two binding partners of CD82, NLRP3 and BRCC3, were identified. CD82 binding to these partners increased the degradation of NLRP3 by blocking BRCC3-dependent K63-specific deubiquitination. Previous studies have shown that CD82-specific bacteria in the colon microbiota called Bacteroides vulgatus (B. vulgatus) regulated the expression of CD82 and promoted the activation of the NLRP3 inflammasome. Accordingly, we observed that B. vulgatus administration increased mouse survival by mediating CD82 expression and activating NLRP3 in mice with colitis. Overall, this study showed that CD82 suppression reduced the pathogenesis of colitis by elevating the activation of the NLRP3 inflammasome through BRCC3-dependent K63 deubiquitination. Based on our findings, we propose that B. vulgatus is a novel therapeutic candidate for colitis.

关键词： CD82 NLRP3 BRCC3 Colitis inflammation

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The Pathway Toward Carbon Neutrality:Challenges and Countermeasures

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Engineering 2022年第7期8卷 1-2页

作者： Xiaoye Zhang Xiang Gao State Key Laboratory of Severe Weather&Key Laboratory of Atmospheric Chemistry of the China Meteorological administration Chinese Academy of Meteorological SciencesBeijing 100081China State Key Laboratory of Clean Energy Utilization State Environmental Protection Engineering Center for Coal-Fired Air Pollution ControlZhejiang UniversityHangzhou 310027China

China’s solemn commitment to the world to strive for carbon neutrality by 2060 demonstrates the nation’s determination to take a new development route,different from its impressive achievements during the more than 40 years since *** a green,low-carbon,and high-quality development path is also a strong manifestation of China’s determination to follow its consis-tent development belief of“conformity with morality,”with its emphasis on multilateral mechanisms and a willingness to make the best possible contribution to global concerns such as adaption to and mitigation of climate change.

关键词： Countermeasures neutral morality

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