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YOLO-RLC:An Advanced Target-Detection Algorithm for Surface Defects of Printed Circuit Boards Based on YOLOv5

Computers, Materials & Continua 2024年第9期80卷 4973-4995页

作者： Yuanyuan Wang jialong huang Md Sharid Kayes Dipu Hu Zhao Shangbing Gao Haiyan Zhang Pinrong Lv School of Computer and Software Engineering Huaiyin Institute of TechnologyHuai’an223003China Huaiyin Institute of Technology Laboratory for Internet of Things and Mobile Internet Technology of Jiangsu ProvinceHuai’an223001China Jiangsu Kesheng Xuanyi Technology Co. Ltd.Huai’an223300China

Printed circuit boards(PCBs)provide stable connections between electronic ***,defective printed circuit boards may cause the entire equipment system to malfunction,resulting in incalculable ***,it is crucial to detect defective printed circuit boards during the generation *** detection methods have low accuracy in detecting subtle defects in complex background *** order to improve the detection accuracy of surface defects on industrial printed circuit boards,this paper proposes a residual large kernel network based on YOLOv5(You Only Look Once version 5)for PCBs surface defect detection,called YOLO-RLC(You Only Look Once-Residual Large Kernel).Build a deep large kernel backbone to expand the effective field of view,capture global informationmore efficiently,and use 1×1 convolutions to balance the depth of the model,improving feature extraction efficiency through reparameterization *** neck network introduces a bidirectional weighted feature fusion network,combined with a brand-new noise filter and feature enhancement extractor,to eliminate noise information generated by information fusion and recalibrate information from different channels to improve the quality of deep *** the aspect ratio of the bounding box to alleviate the issue of specificity *** training and testing on the PCB defect dataset,our method achieved an average accuracy of 97.3%(mAP50)after multiple experiments,which is 4.1%higher than YOLOv5-S,with an average accuracy of 97.6%and an Frames Per Second of *** comparative analysis also proves the superior performance and feasibility of YOLO-RLC in PCB defect detection.

关键词： Deep learning PCB defect detection large kernel noise filtering weighted fusion YOLO

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激光雷达/IMU/车辆运动学约束紧耦合SLAM算法

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中国惯性技术学报 2024年第6期32卷 547-554,564页

作者：杨秀建颜绍祥黄甲龙昆明理工大学交通工程学院昆明650500

针对自动驾驶车辆在全球导航卫星系统(GNSS)信号不足场景下的定位需求,提出了一种激光雷达/惯性测量装置(IMU)/车辆运动学约束紧耦合的同时定位与地图构建(SLAM)算法。首先,基于IMU角速度、车辆后轴轮速和前轮转角构建车辆运动学约束,... 详细信息

针对自动驾驶车辆在全球导航卫星系统(GNSS)信号不足场景下的定位需求,提出了一种激光雷达/惯性测量装置(IMU)/车辆运动学约束紧耦合的同时定位与地图构建(SLAM)算法。首先,基于IMU角速度、车辆后轴轮速和前轮转角构建车辆运动学约束,将车辆运动的位移和姿态信息解耦,构建位移和姿态约束以提高优化结果的准确性;然后,根据点云特征点数量和车辆转向角度引入自适应调整系数,实时调节车辆运动学约束的权重。最后,基于IMU角速度和车辆后轴轮速构建里程计模型,为后端紧耦合优化提供精准的初始值,避免陷入局部最优。不同道路场景下的测试结果表明,所提算法与LeGO_LOAM和LIO_SAM算法相比,平均平面定位精度分别提高了32%和29%,为自动驾驶车辆提供了一种GNSS信号不足情况下的短时高精度定位解决方案。

关键词：自动驾驶同时定位与地图构建多传感器融合车辆运动学

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安徽省铜陵市迪龙冲金矿床成矿地质特征及找矿标志

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黄金 2024年第9期45卷 67-73页

作者：张纪田赵坦黄家龙孙国胜李雪刘根驿华东冶金地质勘查研究院吉林大学地球科学学院山东省物化探勘查院

铜陵矿集区是长江中下游成矿带的重要成矿区,迪龙冲金矿床位于该矿集区中部,大地构造位置属扬子板块北缘。近年来,在区域内发现了叶山铁矿床、曹家冲铜矿床、舒家店铜矿床及杨冲里金矿床等典型矿床。通过本次野外勘查工作,结合前人已有... 详细信息

铜陵矿集区是长江中下游成矿带的重要成矿区,迪龙冲金矿床位于该矿集区中部,大地构造位置属扬子板块北缘。近年来,在区域内发现了叶山铁矿床、曹家冲铜矿床、舒家店铜矿床及杨冲里金矿床等典型矿床。通过本次野外勘查工作,结合前人已有成果资料,系统总结了迪龙冲金矿床地质特征、成矿要素及找矿标志,为进一步找矿勘探工作提供依据。研究结果表明,迪龙冲金矿床成矿类型主要为裂隙充填型和蚀变岩型2种。矿体(脉)成因是后期热液灌入、充填或交代作用成矿。矿体(脉)严格受构造控制,北东向主构造和北西向次级构造均为容矿构造。坟头组地层、石英闪长斑岩和断裂接触带交会部位及附近是寻找金矿的关键位置。硅化-镜铁矿化-黄铁矿化(褐铁矿化)、镜铁矿化-金矿化、硅化-黄铁矿化和黄铁绢英岩化等4类矿化蚀变组合是矿区及周边地区较为重要的找矿标志。

关键词：迪龙冲金矿床成矿要素找矿标志铜陵矿集区长江中下游成矿带矿化蚀变组合

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洞庭湖区机收再生稻的生产优势及技术关键

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作物研究 2024年第4期38卷 324-328页

作者：易俊罗利娜蒋军雷朱梦唅黄佳龙李概明湘阴县农业农村局湖南湘阴414600

对2016—2020年湘阴县机收再生稻生产模式进行调查分析,并与双季稻生产模式进行比较。结果显示,机收再生稻在稳定粮食产量、节本增效、提升稻米品质、调节季节矛盾、生态环境友好等方面具有明显的优势。集成了选用良种良田、适时早播、... 详细信息

对2016—2020年湘阴县机收再生稻生产模式进行调查分析,并与双季稻生产模式进行比较。结果显示,机收再生稻在稳定粮食产量、节本增效、提升稻米品质、调节季节矛盾、生态环境友好等方面具有明显的优势。集成了选用良种良田、适时早播、培育壮秧、合理密植、三定施肥、科学管水、病虫防控、适时收割等适合洞庭湖地区再生稻高产栽培的配套技术。对当前发展再生稻过程中存在的品种应用与创新、机收、政策支持等问题进行了分析,并提出了建议。

关键词：再生稻机收生产优势技术洞庭湖区

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Apatinib and gamabufotalin co-loaded lipid/Prussian blue nanoparticles for synergistic therapy to gastric cancer with metastasis

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Journal of Pharmaceutical Analysis 2024年第5期14卷 707-721页

作者： Binlong Chen Yanzhong Zhao Zichang Lin Jiahao Liang jialong Fan Yanyan huang Leye He Bin Liu Health Management Center The Third Xiangya HospitalCentral South UniversityChangsha410013China Department of Urology The Third Xiangya HospitalCentral South UniversityChangsha410013China Department of Laboratory Medicine The Third Xiangya HospitalCentral South UniversityChangsha410013China College of Biology Hunan UniversityChangsha410082China

Due to the non-targeted release and low solubility of anti-gastric cancer agent,apatinib(Apa),a first-line drug with long-term usage in a high dosage often induces multi-drug resistance and causes serious side *** order to avoid these drawbacks,lipid-film-coated Prussian blue nanoparticles(PB NPs)with hyaluronan(HA)modification was used for Apa loading to improve its solubility and targeting ***,anti-tumor compound of gamabufotalin(CS-6)was selected as a partner of Apawith reducing dosage for combinational gastric ***,HA-Apa-Lip@PB-CS-6 NPs were constructed to synchronously transport the two drugs into tumor *** vitro assay indicated that HA-Apa-Lip@PB-CS-6 NPs can synergistically inhibit proliferation and invasion/metastasis of BGC-823 cells via downregulating vascular endothelial growth factor receptor(VEGFR)and matrix metalloproteinase-9(MMP-9).In vivo assay demonstrated strongest anti-tumor growth and liver metastasis of HA-Apa-Lip@PB-CS-6 NPs administration in BGC-823 cells-bearing mice compared with other groups due to the excellent penetration in tumor tissues and outstanding synergistic *** summary,we have successfully developed a new nanocomplexes for synchronous Apa/CS-6 delivery and synergistic gastric cancer(GC)therapy.

关键词： Apatinib Gamabufotalin Lipid/Prussian blue nanoparticles Gastric cancer

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Reinforced SnO_(2) tensile-strength and“buffer-spring”interfaces for efficient inorganic perovskite solar cells

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Carbon Energy 2024年第6期6卷 282-291页

作者： Yuanyuan Zhao Lei Gao Qiurui Wang Qiang Zhang Xiya Yang Jingwei Zhu Hao huang jialong Duan Qunwei Tang College of Mechanical and Electronic Engineering Shandong University of Science and TechnologyQingdaoChina Institute of New Energy Technology College of Information Science and TechnologyJinan UniversityGuangzhouChina College of Materials Science and Engineering Sichuan UniversityChengduChina Guangxi Key Laboratory of Processing for Non-Ferrous Metals and Featured Materials School of ResourcesEnvironment and MaterialsGuangxi UniversityNanningChina Institute of Carbon Neutrality College of Chemical and Biological EngineeringShandong University of Science and TechnologyQingdaoChina

Suppressing nonradiative recombination and releasing residual strain areprerequisites to improving the efficiency and stability of perovskite solar cells(PSCs).Here,long-chain polyacrylic acid(PAA)is used to reinforce SnO_(2)film and passivate SnO_(2)defects,forming a structure similar to“reinforcedconcrete”with high tensile strength and fewer ***,PAA is also introduced to the SnO_(2)/perovskite interface as a“buffer spring”torelease residual strain,which also acts as a“dual-side passivation interlayer”to passivate the oxygen vacancies of SnO_(2)and Pb dangling bonds in *** a result,the best inorganic CsPbBr_(3)PSC achieves a championpower conversion efficiency of 10.83%with an ultrahigh open-circuit voltageof 1.674 *** unencapsulated PSC shows excellent stability under 80%relative humidity and 80℃over 120 days.

关键词： charge recombination defect passivation inorganic perovskite solar cells interfacial modification strain relaxation

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Enhancing low-resource cross-lingual summarization from noisy data with fine-grained reinforcement learning

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 121-134页

作者： Yuxin huang Huailing GU Zhengtao YU Yumeng GAO Tong PAN jialong XU Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650504China Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and TechnologyKunming 650504China

Cross-lingual summarization(CLS)is the task of generating a summary in a target language from a document in a source ***,end-to-end CLS models have achieved impressive results using large-scale,high-quality datasets typically constructed by translating monolingual summary corpora into CLS ***,due to the limited performance of low-resource language translation models,translation noise can seriously degrade the performance of these *** this paper,we propose a fine-grained reinforcement learning approach to address low-resource CLS based on noisy *** introduce the source language summary as a gold signal to alleviate the impact of the translated noisy target ***,we design a reinforcement reward by calculating the word correlation and word missing degree between the source language summary and the generated target language summary,and combine it with cross-entropy loss to optimize the CLS *** validate the performance of our proposed model,we construct Chinese-Vietnamese and Vietnamese-Chinese CLS *** results show that our proposed model outperforms the baselines in terms of both the ROUGE score and BERTScore.

关键词： Cross-lingual summarization Low-resource language Noisy data Fine-grained reinforcement learning Word correlation Word missing degree

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PCDH17 restricts dendritic spine morphogenesis by regulating ROCK2-dependent control of the actin cytoskeleton,modulating emotional behavior

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Zoological Research 2024年第3期45卷 535-550页

作者： Laidong Yu Fangfang Zeng Mengshu Fan Kexuan Zhang Jingjing Duan Yalu Tan Panlin Liao Jin Wen Chenyu Wang Meilin Wang jialong Yuan Xinxin Pang Yan huang Yangzhou Zhang Jia-Da Li Zhuohua Zhang Zhonghua Hu Hunan Key Laboratory of Molecular Precision Medicine Department of Critical Care MedicineXiangya HospitalCentral South UniversityChangshaHunan 410008China Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics School of Life SciencesCentral South UniversityChangshaHunan 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangshaHunan 410008China Hunan Provincial Clinical Research Center for Critical Care Medicine Xiangya HospitalCentral South UniversityChangshaHunan 410008China Hunan Key Laboratory of Animal Models for Human Diseases School of Life SciencesCentral South UniversityChangshaHunan 410008China MOE Key Lab of Rare Pediatric Diseases School of Life SciencesCentral South UniversityChangshaHunan 410008China Department of Neurosciences University of South China Medical SchoolHengyangHunan 421001China

Proper regulation of synapse formation and elimination is critical for establishing mature neuronal circuits and maintaining brain *** abnormalities,such as defects in the density and morphology of postsynaptic dendritic spines,underlie the pathology of various neuropsychiatric *** 17(PCDH17)is associated with major mood disorders,including bipolar disorder and ***,the molecular mechanisms by which PCDH17 regulates spine number,morphology,and behavior remain *** this study,we found that PCDH17 functions at postsynaptic sites,restricting the number and size of dendritic spines in excitatory *** overexpression of PCDH17 in the ventral hippocampal CA1 results in spine loss and anxiety-and depression-like behaviors in ***,PCDH17 interacts with actin-relevant proteins and regulates actin filament(F-actin)***,PCDH17 binds to ROCK2,increasing its expression and subsequently enhancing the activity of downstream targets such as LIMK1 and the phosphorylation of cofilin serine-3(Ser3).Inhibition of ROCK2 activity with belumosudil(KD025)ameliorates the defective F-actin organization and spine structure induced by PCDH17 overexpression,suggesting that ROCK2 mediates the effects of PCDH17 on F-actin content and spine ***,these findings reveal a novel mechanism by which PCDH17 regulates synapse development and behavior,providing pathological insights into the neurobiological basis of mood disorders.

关键词： Synapse development Dendritic spine Mood disorder Actin cytoskeleton Animal behavior

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福建长汀地区楼前组变质火山岩石组合及形成时代

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福建地质 2017年第3期36卷 159-169页

作者：黄家龙福建省地质调查研究院福州350013

通过对南平—宁化构造岩浆带西段长汀张地地区楼前组典型剖面的研究,查明楼前组为一套火山岩-火山碎屑沉积岩组合,且火山活动由早到晚呈现由强至弱、由中酸性向酸性演化的变化规律。通过区域对比研究后发现受南平—宁化构造带所控制的... 详细信息

通过对南平—宁化构造岩浆带西段长汀张地地区楼前组典型剖面的研究,查明楼前组为一套火山岩-火山碎屑沉积岩组合,且火山活动由早到晚呈现由强至弱、由中酸性向酸性演化的变化规律。通过区域对比研究后发现受南平—宁化构造带所控制的楼前组火山活动具明显的不均一性。应用LA-ICP-MS锆石U-Pb法对楼前组火山岩进行同位素测年,获得了(732.1±7.4)Ma的岩浆锆石年龄,证实了楼前组的形成时代为南华纪。

关键词：楼前组变质火山岩 LA—ICP-MS锆石U—Pb定年南华纪长汀

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华夏地块东南缘南华纪岩浆事件的发现及地质意义

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福建地质 2019年第2期38卷 79-97页

作者：黄家龙福建省地质调查研究院

通过近几年的地质调查研究工作,在华夏地块东南缘的寻乌—长汀—明溪一线新识别出花岗质片麻岩体及一套变质火山岩组合。同位素测年研究表明,该侵入岩成岩年龄为(722±8.2)Ma^(737.2±4.5)Ma,火山岩年龄为(707±8.6)Ma^(774.8±5.1)Ma,... 详细信息

通过近几年的地质调查研究工作,在华夏地块东南缘的寻乌—长汀—明溪一线新识别出花岗质片麻岩体及一套变质火山岩组合。同位素测年研究表明,该侵入岩成岩年龄为(722±8.2)Ma^(737.2±4.5)Ma,火山岩年龄为(707±8.6)Ma^(774.8±5.1)Ma,二者同为南华纪岩浆活动的产物。南华纪岩浆岩组合、岩石化学、地球化学的研究表明,该期'S'型花岗岩(γδ-γ)+钙碱性(中)酸火山岩组合,是俯冲带下部地壳重熔的产物;华夏地块南华纪时期具有活动大陆边缘的构造性质,寻乌—长汀—明溪一带南华纪活动陆缘火山弧是发育在中-古元古代陆壳之上靠内陆一侧的内带环境。

关键词：华夏地块东南缘南华纪岩浆岩活动陆缘福建长汀

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