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A path planning algorithm for a crop monitoring fixed-wing unmanned aerial system

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Science China(Information Sciences) 2024年第08期67卷 5-23页

作者： Longhao qian Yi Lok LO Hugh Hong-tao LIU Institute of Aerospace Studies University of Toronto Department of Mechanical Engineering The University of Hong Kong

With the growing demand for automation in agriculture, industries increasingly rely on drones to perform crop monitoring and surveillance. In this regard, fixed-wing unmanned aerial systems(UASs)are viable platforms for scanning a large crop field, given their payload capacity and range. To achieve maximum coverage without landing for battery replacement, an algorithm for producing a minimal required energy survey path is essential. Hence, an energy-aware coverage path planning algorithm is proposed *** constraints for a fixed-wing UAS to fly at low altitudes while achieving full coverage of the crop field are first analyzed. Then, the full path is decomposed into straight-line and U-turn primitives. Finally, an algorithm to calculate a combination of straight-line segments and U-turns is proposed to obtain the path with minimum required energy consumption. The genetic algorithm is used to efficiently determine the order of the straight-line paths to traverse. Case studies show that the proposed algorithm can produce planning results for a convex-polygon-shaped crop field.

关键词： path planning genetic algorithm energy minimization fixed-wing UAS aerial survey

Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

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Big Data Mining and Analytics 2024年第2期7卷 531-546页

作者： Zhihua Li Xinye Yu tao Wei Junhao qian School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China School of IoT Engineering Jiangnan UniversityWuxi 214122China

To efficiently mine threat intelligence from the vast array of open-source cybersecurity analysis reports on the web,we have developed the Parallel Deep Forest-based Multi-Label Classification(PDFMLC)***,open-source cybersecurity analysis reports are collected and converted into a standardized text ***,five tactics category labels are annotated,creating a multi-label dataset for tactics *** the limitations of low execution efficiency and scalability in the sequential deep forest algorithm,our PDFMLC algorithm employs broadcast variables and the Lempel-Ziv-Welch(LZW)algorithm,significantly enhancing its acceleration ***,our proposed PDFMLC algorithm incorporates label mutual information from the established dataset as input *** captures latent label associations,significantly improving classification ***,we present the PDFMLC-based Threat Intelligence Mining(PDFMLC-TIM)*** results demonstrate that the PDFMLC algorithm exhibits exceptional node scalability and execution ***,the PDFMLC-TIM method proficiently conducts text classification on cybersecurity analysis reports,extracting tactics entities to construct comprehensive threat *** a result,successfully formatted STIX2.1 threat intelligence is established.

关键词： unstructured big data mining parallel deep forest multi-label classification algorithm threat intelligence

Cobalt(Ⅲ)hydride HAT mediated enantioselective intramolecular hydroamination access to chiral pyrrolidines

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Science China Chemistry 2024年第6期67卷 2002-2008页

作者： Qi Meng tao Qin Huanran Miao Ge Zhang qian Zhang Jilin Province Key Laboratory of Organic Functional Molecular Design&Synthesis Department of ChemistryNortheast Normal UniversityChangchun130024China State Key Laboratory of Organometallic Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai200032China

Enantioenriched pyrrolidines and derivatives are ubiquitous substructures in compounds of importance to medicinal and biological ***,we report an efficient cobalt-catalyzed intramolecular asymmetric hydroamination reaction that produces chiral pyrrolidines with good to excellent yield and *** with previously reported radicalinvolved methodologies for enantioenriched pyrrolidines,these conditions feature two elegant versatilities,enabling(1)the use of cobalt-catalyzed hydrogen atom transfer(HAT)to generate organocobalt intermediates that bring radical reaction to organometallic chemistry,and(2.enantioselective intramolecular C-N bond forging through an S_(N)2.like displacement involving dynamic kinetic resolution(DKR).This approach provides a new alternative and efficient methodology for enantioselective radical-involved C-N bond construction that can be used in the synthesis of both chiral pyrrolidines and homologous nitrogen heterocycles.

关键词： asymmetric catalysis radical hydroamination cobalt catalysis hydrogen atom transfer

Progress in neurorehabilitation research and the support by the National Natural Science Foundation of China from 2.10 to 2.2.

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Neural Regeneration Research 2024年第1期19卷 226-232页

作者： qian tao Honglu Chao Dong Fang Dou Dou School of Medicine Jinan UniversityGuangzhouGuangdong ProvinceChina School of Health and Life Science University of Health and Rehabilitation SciencesQingdaoShandong ProvinceChina Department of Health Sciences National Natural Science Foundation of ChinaBeijingChina Department of Neurosurgery The First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsu ProvinceChina

The National Natural Science Foundation of China is one of the major funding agencies for neuro rehabilitation research in *** study reviews the frontier directions and achievements in the field of neurorehabilitation in China and wo *** used data from the Web of Science Core Collection(WoSCC) database to analyze the publications and data provided by the National Natural Science Foundation of China to analyze funding *** addition,the prospects for neurorehabilitation research in China are *** 2.10 to 2.2.,a total of 74,2.0 publications in neurorehabilitation were identified,with there being an overall upward *** this period,the National Natural Science Foundation of China has funded 476 research projects with a total funding of 192.38 million RMB to support neuro rehabilitation research in *** the support of the National Natural Science Foundation of China,China has made some achievements in neurorehabilitation *** related to neurorehabilitation is believed to be making steady and significant progress in China.

关键词： brain computer interface invasive neuromodulation National Natural Science Foundation of China(NSFC) neuroreha bilitation non-invasive brain stimulation publication rehabilitation robotics virtual reality

Caffeic acid 3,4-dihydroxyphenethyl ester prevents colorectal cancer through inhibition of multiple cancer-promoting signal pathways in 1,2.Dimethylhydrazine/dextran sodium sulphate mouse model

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Journal of Traditional Chinese Medicine 2024年第1期44卷 70-77页

作者： JIN tao ZHOU qian SHEN Jichen ZHANG Zhizhong LIAN Xiaoyuan College of Pharmaceutical Sciences Zhejiang UniversityHangzhou 310058China Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Ocean College Zhoushan Campus of Zhejiang UniversityZhoushan 316021China

OBJECTIVE:To elucidate the potential feature and mechanism of the caffeic acid 3,4-dihydroxyphenethyl ester(CADPE)molecule,which can prevent colorectal cancer(CRC)in the 1,2.Dimethylhydrazine(DMH)/dextran sodium sulphate(DSS)-induced mouse ***:Institute of cancer research(ICR)male mice were injected with 2. mg/kg DMH for a *** that,2.DSS was administered in the drinking water for another 7 *** CADPE treatment was given to the DMH/DSS induced male mice at three different periods until their *** examination was used for observing the CRC development at colonic ***(IHC),blood cells smearing and crypt damage scoring methods were used for investigating the anti-inflammation feature of CADPE related to *** reversing targets searching method was applied with artificial intelligence(AI),computeraided drug designing(CADD)and Ingenuity Pathway Analysis(IPA)techniques for predicting the potential targets and mechanism of CADPE highly related to ***:The data indicated that CADPE inhibited CRC tumor development in the colitis-associated DMH/DSS induced mouse model after giving the early *** also impeded the acute inflammation by decreasing the infiltration of neutrophils significantly during the initial stage of CRC ***,our data showed that CADPE prevented CRC by blocking active sites of three pivotal protein targets including epidermal growth factor receptor(EGFR),extracellular signal-regulated kinase(ERK)and mammalian target of rapamycin(m TOR)in two major cancer development ***:CADPE effectively prevented CRC at early stage of tumor germination in the DMH/DSS mouse model highly likely due to its anti-acute inflammation characteristic and the ability of blocking EGFR,ERK and m TOR activities in two highly related CRC developing pathways.

关键词： caffeic acids colorectal neoplasms inflammation chemoprevention Sarcandra glabra

The joint knowledge reasoning model based on knowledge representation learning for aviation assembly domain

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Science China(Technological Sciences) 2024年第1期67卷 143-156页

作者： LIU PeiFeng qian Lu LU Hu XUE Lei ZHAO XingWei tao Bo State Key Laboratory of Digital Manufacturing Equipment and Technology Department of MechanicalHuazhong University of Science and TechnologyWuhan 430074China School of Transportation and Logistics Engineering Wuhan University of Technology(WHUT)Wuhan 430063China Shanghai Aircraft Manufacturing Co. Ltd.Shanghai 201324China

Knowledge graph technology is widely applied in the domain of general knowledge reasoning with an excellent *** fine-grained professional fields,professional knowledge graphs can provide more accurate information in practical industrial *** on an aviation assembly domain-specific knowledge graph,the article constructs a joint knowledge reasoning model,which combines a named entity recognition model and a subgraph embedding learning *** performing knowledge reasoning tasks,the two models vectorize entities,relationships and entity attributes in the same space,so as to share parameters and optimize learning *** knowledge reasoning model,which provides intelligent question answering services,is able to reduce the assembly error rate and improve the assembly *** system can accurately solve general knowledge reasoning problems in the assembly process in actual industrial scenarios of general assembly and component assembly under interference-free ***,this paper compares the proposed knowledge reasoning model based on knowledge representation learning and the question-answering system based on large-scale pre-trained *** the application scenario of system functional testing in general assembly,the joint model attains an accuracy rate of 95%,outperforming GPT with 78%accuracy and enhanced representation through knowledge integration with 71%accuracy.

关键词： intelligent manufacturing knowledge graph aviation assembly knowledge representation knowledge-based question an-swering

Surface reconstruction enabled o-PdTe@Pd core-shell electrocatalyst for efficient oxygen reduction reaction

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Chinese Chemical Letters 2024年第8期35卷 314-318页

作者： Min Song qian Zhang tao Shen Guanyu Luo Deli Wang Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of EducationSchool of Chemistry and Chemical EngineeringHuazhong University of Science and Technology(HUST)Wuhan 430074China

Palladium-based alloy catalysts have been employed as one of the potential candidates for oxygen reduc-tion reaction(ORR),but the dissolution of transition metal hinders their ***,structure or-dered PdTe intermetallic with Pd shell(o-PdTe@Pd)are synthesized via an electrochemical etching driven surface reconstruction *** surface reconstruction could tune the electronic structure,weaken the adsorption energy of reaction intermediates on o-PdTe@Pd,resulting in enhanced electrocatalytic ac-tivity for *** mass activity of o-PdTe@Pd is about 3.3 and 2.7 times higher than that of Pd/C in acid and alkaline,***,the half-potentials for ORR decay only about 44 mV and 12.mV after 30 k cycles accelerated durability test in acid and alkaline media,*** enhanced dura-bility originates from the resistance of Te atoms dissolve in the ordered PdTe intermetallic core and the core-shell *** assembled in a Zn-air battery,o-PdTe@Pd electrode delivers a higher specific capacity(794 mAh/g)and better cycling stability than Pt/C.

关键词： Surface reconstruction Core-shell structure Intermetallic Oxygen reduction reaction Tellurium

Systematic review and network meta-analysis of different nonsteroidal anti-inflammatory drugs for juvenile idiopathic arthritis

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World Journal of Clinical Cases 2024年第12期12卷 2056-2064页

作者： tao Zeng Jian-Zhong Ye Hui Qin qian-qian Xu College of Medicine Jingchu University of Technology JingmenJingmen 448000Hubei ProvinceChina

BACKGROUND Various non-steroidal anti-inflammatory drugs(NSAIDs)have been used for juvenile idiopathic arthritis(JIA).However,the optimal method for JIA has not yet been *** To perform a systematic review and network meta-analysis to determine the optimal *** We searched for randomized controlled trials(RCTs)from PubMed,EMBASE,Google Scholar,CNKI,and Wanfang without restriction for publication date or language at August,*** RCTs that comparing the effectiveness of NSAIDs with each other or placebo for JIA were included in this network *** surface under the cumulative ranking curve(SUCRA)analysis was used to rank the treatments.P value less than 0.05 was identified as statistically *** We included 8 RCTs(112. patients)comparing 8 different instructions including meloxicam(0.12. qd and 0.2.0 qd),Celecoxib(3 mg/kg bid and 6 mg/kg bid),piroxicam,Naproxen(5.0 mg/kg/d,7.5 mg/kg/d and 12.5 mg/kg/d),inuprofen(30-40 mg/kg/d),Aspirin(60-80 mg/kg/d,75 mg/kg/d,and 55 mg/kg/d),Tolmetin(15 mg/kg/d),Rofecoxib,and *** were no significant differences between any two NSAIDs regarding ACR Pedi 30 *** SUCRA shows that celecoxib(6 mg/kg bid)ranked first(SUCRA,88.9%),rofecoxib ranked second(SUCRA,68.1%),Celecoxib(3 mg/kg bid)ranked third(SUCRA,51.0%).There were no significant differences between any two NSAIDs regarding adverse *** SUCRA shows that placebo ranked first(SUCRA,88.2.),piroxicam ranked second(SUCRA,60.5%),rofecoxib(0.6 mg/kg qd)ranked third(SUCRA,56.1%),meloxicam(0.12. mg/kg qd)ranked fourth(SUCRA,56.1%),and rofecoxib(0.3 mg/kg qd)ranked fifth(SUCRA,56.1%).CONCLUSION In summary,celecoxib(6 mg/kg bid)was found to be the most effective NSAID for treating ***,piroxicam,and meloxicam may be safer options,but further research is needed to confirm these findings in larger trials with higher quality studies.

关键词： Non-steroidal anti-inflammatory drugs Juvenile idiopathic arthritis Network meta-analysis Systematic review

Integrating multi-omics data of childhood asthma using a deep association model

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Fundamental Research 2024年第4期4卷 738-751页

作者： Kai Wei Fang qian Yixue Lia tao Zeng tao Huang Bio-Med Big Data Center CAS Key Laboratory of Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Guoke Ningbo Life Science and Health Industry Research Institute Ningbo 315000China Guangzhou National Laboratory Guangzhou 510000China GMU-GIBH Joint School of Life Sciences The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou LaboratoryGuangzhou Medical UniversityGuangzhou 510000China Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China

Childhood asthma is one of the most common respiratory diseases with rising mortality and *** multi-omics data is providing a new chance to explore collaborative biomarkers and corresponding diagnostic models of childhood *** capture the nonlinear association of multi-omics data and improve interpretability of diagnostic model,we proposed a novel deep association model(DAM)and corresponding efficient analysis ***,the Deep Subspace Reconstruction was used to fuse the omics data and diagnostic information,thereby correcting the distribution of the original omics data and reducing the influence of unnecessary data ***,the Joint Deep Semi-Negative Matrix Factorization was applied to identify different latent sample patterns and extract biomarkers from different omics data ***,our newly proposed Deep Orthogonal Canonical Correlation Analysis can rank features in the collaborative module,which are able to construct the diagnostic model considering nonlinear correlation between different omics data *** DAM,we deeply analyzed the transcriptome and methylation data of childhood *** effectiveness of DAM is verified from the perspectives of algorithm performance and biological significance on the independent test dataset,by ablation experiment and comparison with many baseline methods from clinical and biological *** DAM-induced diagnostic model can achieve a prediction AUC of o.912.which is higher than that of many other alternative ***,relevant pathways and biomarkers of childhood asthma are also recognized to be collectively altered on the gene expression and methylation *** an interpretable machine learning approach,DAM simultaneously considers the non-linear associations among samples and those among biological features,which should help explore interpretative biomarker candidates and efficient diagnostic models from multi-omics data analysis for human complexdiseases.

关键词： Deepsub space reconstruction Deepnon-negative matrix factorization Deepcanonical correlationanalysis Multi-omics Interpretable machine learning Childhood asthma