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Pose matters:Pose guided graph attention network for person re-identification

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Chinese Journal of Aeronautics 2023年第5期36卷 447-464页

作者： Zhijun HE Hongbo ZHAO Jianrong WANG Wenquan FENG School of Electronics and Information Engineering Beihang UniversityBeijing 100191China Hefei Innovation Research Institute of Beihang University Hefei 230012China

Person re-identification(reID),aiming at retrieving a person across different cameras,has been playing a more and more important role in the construction of smart city and social *** deep-learning-based reID methods,it has been proved that using local feature together with global feature could help to give robust representation for person *** pose information can provide the locations of human skeleton to effectively guide the network to pay more attention to these key areas,and can also help to reduce the noise distractions from background or *** on human pose,a Pose Guided Graph Attention(PGGA)network is proposed in this paper,which is a multi-branch architecture consisting of one branch for global feature and two branches for local key-point features.A graph attention convolution layer is carefully designed to re-assign the contribution weight of each extracted local feature by modeling the similarity *** experimental results demonstrate the effectiveness of our approach on discriminative feature *** model achieves the state-of-the-art performance on several mainstream evaluation datasets.A plenty of ablation studies and different kinds of comparison experiments are conducted to prove the effectiveness of this work,including the tests on occluded datasets and cross-domain ***,we further design supplementary tests in practical scenario to indicate the advantage of our work in real-word applications.

关键词： Convolutional neural networks Deep learning Graph neural networks identification Image retrieval Image processing

CRISPR-powered optothermal nanotweezers:Diverse bio-nanoparticle manipulation and single nucleotide identification

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Light(Science & Applications) 2023年第12期12卷 2644-2654页

作者： Jiajie Chen Zhi Chen Changle Meng Jianxing Zhou Yuhang Peng Xiaoqi Dai Jingfeng Li Yili Zhong Xiaolin Chen Wu Yuan Ho-Pui Ho Bruce Zhi Gao Junle Qu Xueji Zhang Han Zhang Yonghong Shao State Key Laboratory of Radio Frequency Heterogeneous Integration Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronics EngineeringShenzhen UniversityShenzhen 518060China Department of Biomedical Engineering The Chinese University of Hong KongShatinHong KongChina Department of Bioengineering and COMSET Clemson UniversityClemsonSC 29634USA School of Biomedical Engineering Shenzhen UniversityShenzhenGuangdong 518060China

Optothermal nanotweezers have emerged as an innovative optical manipulation technique in the past decade,which revolutionized classical optical manipulation by efficiently capturing a broader range of ***,the optothermal temperature field was merely employed for in-situ manipulation of nanoparticles,its potential for identifying bio-nanoparticles remains largely ***,based on the synergistic effect of optothermal manipulation and CRIPSR-based bio-detection,we developed CRISPR-powered optothermal nanotweezers(CRONT).Specifically,by harnessing diffusiophoresis and thermo-osmotic flows near the substrate upon optothermal excitation,we successfully trapped and enriched DNA functionalized gold nanoparticles,CRISPR-associated proteins,as well as DNA ***,we built an optothermal scheme for enhancing CRISPR-based single-nucleotide polymorphism(SNP)detection at single molecule level,while also introducing a novel CRISPR methodology for observing nucleotide ***,this innovative approach has endowed optical tweezers with DNA identification ability in aqueous solution which was unattainable *** its high specificity and feasibility for in-situ bio-nanoparticle manipulation and identification,CRONT will become a universal tool in point-of-care diagnosis,biophotonics,and bio-nanotechnology.

关键词： manipulation thermal identification

Deep learning-based LPI radar signals analysis and identification using a Nyquist Folding Receiver architecture

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Defence Technology（防务技术） 2023年第1期19卷 196-209页

作者： Tao Wan Kai-li Jiang Hao Ji Bin Tang School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu611731China

Nyquist Folding Receiver(NYFR)is a perceptron structure that realizes a low probability of intercept(LPI)signal analog to *** at the problem of LPI radar signal receiving,the time domain,frequency domain,and time-frequency domain problems of signals intercepted by NYFR structure are *** with the time-frequency analysis(TFA)method,a radar recognition scheme based on deep learning(DL)is introduced,which can reliably classify common LPI radar ***,the structure of NYFR and its characteristics in the time domain,frequency domain,and time and frequency domain are ***,the received signal is then converted into a time-frequency image(TFI).Finally,four kinds of DL algorithms are used to classify LPI radar *** results demonstrate the correctness of the NYFR structure,and the effectiveness of the proposed recognition method is verified by comparison experiments.

关键词： Nyquist folding receiver Ultra-wideband Deep learning Time-frequency analysis identification Classification

Recent advances in isolation,identification,and culture of mammalian spermatogonial stem cells

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Asian Journal of Andrology 2022年第1期24卷 5-14页

作者： Hua-Ming Xi Yi-Jie Ren Fa Ren Yu Li Tian-Yu Feng Zhi Wang Ye-Qing Du Li-Kun Zhang Jian-Hong Hu Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi ProvinceCollege of Animal Science and TechnologyNorthwest Agriculture and Forestry UniversityYangling 712100China

Continuous spermatogenesis depends on the self-renewal and differentiation of spermatogonial stem cells(SSCs).SSCs,the only male reproductive stem cells that transmit genetic material to subsequent generations,possess an inherent self-renewal ability,which allows the maintenance of a steady stem cell *** eventually differentiate to produce ***,in an in vitro culture system,SSCs can be induced to differentiate into various types of germ *** SSCs are well defined,and a culture system has been successfully established for *** contrast,available information on the biomolecular markers and a culture system for livestock SSCs is *** review summarizes the existing knowledge and research progress regarding mammalian SSCs to determine the mammalian spermatogenic process,the biology and niche of SSCs,the isolation and culture systems of SSCs,and the biomolecular markers and identification of *** information can be used for the effective utilization of SSCs in reproductive technologies for large livestock animals,enhancement of human male fertility,reproductive medicine,and protection of endangered species.

关键词： culture identification isolation male germline stem cell spermatogonial stem cell transplantation

Culture-free identification of fast-growing cyanobacteria cells by Raman-activated gravity-driven encapsulation and sequencing

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Synthetic and Systems Biotechnology 2023年第4期8卷 708-715页

作者： Jinyu Cui Rongze Chen Huili Sun Yingyi Xue Zhidian Diao Jingyun Song Xiaohang Wang Jia Zhang Chen Wang Bo Ma Jian Xu Guodong Luan Xuefeng Lu Key Laboratory of Biofuels Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesNo.189 Songling RoadQingdao266101China Shandong Energy Institute Qingdao266101China Qingdao New Energy Shandong Laboratory Qingdao266101China College of Life Science University of Chinese Academy of SciencesBeijingChina Dalian National Laboratory for Clean Energy Dalian116023China Laboratory for Marine Biology and Biotechnology Qingdao National Laboratory for Marine Science and TechnologyQingdaoChina

By directly converting solar energy and carbon dioxide into biobased products,cyanobacteria are promising chassis for photosynthetic *** make cyanobacterial photosynthetic biosynthesis technology economically feasible on industrial scales,exploring and engineering cyanobacterial chassis and cell factories with fast growth rates and carbon fixation activities facing environmental stresses are of great *** simplify and accelerate the screening for fast-growing cyanobacteria strains,a method called Individual Cyanobacteria Vitality Tests and Screening(iCyanVS)was *** show that the ^(13)C incorporation ratio of carotenoids can be used to measure differences in cell growth and carbon fixation rates in individual cyanobacterial cells of distinct genotypes that differ in growth rates in bulk cultivations,thus greatly accelerating the process screening for fastest-growing *** feasibility of this approach is further demonstrated by phenotypically and then genotypically identifying individual cyanobacterial cells with higher salt tolerance from an artificial mutant library via Raman-activated gravity-driven encapsulation and ***,this method should find broad applications in growth rate or carbon intake rate based screening of cyanobacteria and other photosynthetic cell factories.

关键词： Cyanobacteria Single-cell Raman microspectroscopy Stable isotope probing Carotenoids identification

A novel non-invasive identification of genome editing mutants from insect exuviae

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Insect Science 2022年第1期29卷 21-32页

作者： Xiao-Xiao Wang Jing Li Tong-Xin Wang Yi-Nuo Yang Hai-Kang Zhang Meng Zhou Le Kang Li-Ya Wei College of Life Sciences Institute of Life Sciences and Green DevelopmentHebei UniversityBaodingHebei Province071002China State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijing100101China

With the wide application of genome editing in insects, a simple and efficient identification method is urgently needed to meet the increasing demand for mutation detection. Here, taking migratory locusts as a model system, we developed a non-invasive method to accurately identify genome-edited mutants by using DNA from insect exuviae. We compared the quantity and quality of genomic DNA from exuviae in five instar hoppers and found that the 1st instar exuviae had the highest DNA yield and content, while the 3rd instar exuviae had the best quality. Consensus genotypes were identified from genomic DNA of hoppers at different developmental stages in the same individuals. Moreover, we demonstrated that the amplification products from DNA extracted from locust exuviae are the consensus sequences with those from the hemolymph and foreleg pre-tarsus. Therefore, non-invasive samples provide the same genotyping results as minimally invasive and invasive samples of the same individuals. Furthermore, this identification method that uses genomic DNA from exuviae can be used for early screening of positive genome-edited individuals in each generation for adult crossing. In our study, the non-invasive identification method was not only simpler and provided results earlier than existing methods, but also had a better reproducibility and accuracy. This non-invasive identification approach using genomic DNA from exuviae can be adapted to meet the growing demand for genetic analysis and will find wide application in insect genome editing research.

关键词： exuviae genome editing identification locusts molt non-invasive

Molecular phylogeny and identification of agromyzid leafminers in China,with a focus on the worldwide genus Liriomyza(Diptera:Agromyzidae)

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Journal of Integrative Agriculture 2023年第10期22卷 3115-3134页

作者： LIANG Yong-xuan DU Su-jie ZHONG Yu-jun WANG Qi-jing ZHOU Qiong WAN Fang-hao GUO Jian-yang LIU Wan-xue State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193P.R.China College of Life Sciences Hunan Normal UniversityChangsha 410081P.R.China

Leaf-mining flies(Diptera:Agromyzidae)are a diverse family of small-bodied insects that feed on living plant tissues as *** species in this family are considered globally invasive and have caused great agricultural economic *** China,economically important vegetable crops have been seriously damaged by these pest insects,especially by species of the genus ***,these species are difficult to differentiate because of their morphological similarities,and the Chinese fauna remains poorly *** explore the relevant pest species in China and their phylogeny,agromyzid leafminers were collected from 2016 to 2019,and identified based on morphological characteristics and DNA *** total,27 species from five genera of Agromyzidae were sampled and identified,including 16species of *** mitochondrial and nuclear genes were used to reconstruct their phylogenetic relationships and estimate the divergence *** congruent and well-supported phylogenetic trees were obtained using the Bayesian inference and maximum-likelihood *** analysis revealed two main clades in Liriomyza,and clade 2was inferred to have diverged from clade 1 approximately 27.40 million years ago(95%highest posterior density:23.03–31.52 million years ago)in the *** were observed in the distribution patterns and host associations between the Liriomyza *** 2 species are distributed in cool,high-latitude environments,suggesting that they may have evolved into a cool-adapted lineage.

关键词： agromyzid leafminer Liriomyza phylogenetics identification divergence time distribution pattern

Nonlinear identification and Control of Laser Welding Based on RBF Neural Networks

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Computer Systems Science & Engineering 2022年第4期41卷 51-65页

作者： Hongfei Wei Hui Zhao Xinlong Shi Shuang Liang Henan Polytechnic Institute Nanyang473000China Zhengzhou Railway Vocational&Technical College Zhengzhou450000China University of Florence Firenze50041Italy

A laser beam is a heat source with a high energy density;this technol-ogy has been rapidly developed and applied in theﬁeld of welding owing to its potential advantages,and supplements traditional welding *** in-depth analysis of its operating process could establish a good foundation for its application in *** is widely understood that the welding process is a highly nonlinear and multi-variable coupling process;it comprises a signiﬁcant number of complex processes with random uncertain *** of their nonlinear mapping and self-learning characteristics,artiﬁcial neural networks(ANNs)have certain advantages in comparison to traditional methods in theﬁeld of *** welding is a nonlinear dynamic process;these processes still pose a major challenge in theﬁeld of ***,establishing a stable model is a pre-requisite for achieving accurate *** this study,the identiﬁcation and con-trol of radial basis function neural networks in laser welding processes and self-tuning PID control methods are proposed to improve weld *** a MATLAB simulation,it is shown that the proposed method can obtain a good description of the level of nonlinear dynamic control,and that the algorithm iden-tiﬁcation accuracy is high,practical,and *** this method,the weld width quickly reaches the expected value and the system remains stable,with good ***,it ensures the stability and dynamic performance of the welding process and improves weld quality.

关键词： Laser welding radial basis function neural networks self-tuning nonlinear identification

Model identification and Control of Evapotranspiration for Irrigation Water Optimization

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Computers, Materials & Continua 2022年第1期70卷 1749-1767页

作者： Wafa Difallah Fateh Bounaama Belkacem Draoui Khelifa Benahmed Abdelkader Laaboudi Department of Exact Sciences Normal Higher School of Bechar08000Algeria Laboratory of Energetic in Arid Zones Faculty of TechnologyTahri Mohammed University of Bechar08000Algeria Department of Mathematics and Computer Science Faculty of Exact SciencesTahri Mohammed University of Bechar08000Algeria Algerian Institute for Research in Agronomy Experimental Station of Adrar01000Algeria

Water conservation starts from rationalizing irrigation,as it is the largest consumer of this vital *** the critical and urgent nature of this issue,several works have been *** idea of most researchers is to develop irrigation management systems tomeet the water needs of plants with optimal use of this *** fact,irrigation water requirement is only the amount of water that must be applied to compensate the evapotranspiration ***-Monteith equation is the most common formula to evaluate reference evapotranspiration,but it requiresmany factors that cannot be available in many *** leads to a trend towards behavior model *** identification with control is one of the most promising applications in this *** idea behind this proposal depends on three stages:First,the estimation of reference evapotranspiration(ET0)by a linear ARX model,where temperature,relative humidity,insolation duration and wind speed are used as inputs,and ET0 estimated by Penman-Monteith equation as *** results show that the values estimated by thismethodwere in good agreement with the measured *** second part of this paper is tomanage the quantity of *** this purpose,two controllers are used for testing,lead-lag and *** adjust the first controller and optimize the choice of its parameters,Nelder-Mead algorithm is *** the last part,a comparative study is done between the two used controllers.

关键词： Evapotranspiration water identification optimization irrigation control