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Enhancing Dense Small Object Detection in UAV Images Based on Hybrid Transformer

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Computers, Materials & Continua 2024年第3期78卷 3993-4013页

作者： Changfeng Feng chunping wang Dongdong Zhang Renke Kou Qiang Fu Shijiazhuang Campus People Liberation Army Engineering UniversityShijiazhuang050003China School of Information and Intelligent Engineering Sanya UniversitySanya572000China

Transformer-based models have facilitated significant advances in object detection.However,their extensive computational consumption and suboptimal detection of dense small objects curtail their applicability in unmanned aerial vehicle(UAV)imagery.Addressing these limitations,we propose a hybrid transformer-based detector,H-DETR,and enhance it for dense small objects,leading to an accurate and efficient model.Firstly,we introduce a hybrid transformer encoder,which integrates a convolutional neural network-based cross-scale fusion module with the original encoder to handle multi-scale feature sequences more efficiently.Furthermore,we propose two novel strategies to enhance detection performance without incurring additional inference computation.Query filter is designed to cope with the dense clustering inherent in drone-captured images by counteracting similar queries with a training-aware non-maximum suppression.Adversarial denoising learning is a novel enhancement method inspired by adversarial learning,which improves the detection of numerous small targets by counteracting the effects of artificial spatial and semantic noise.Extensive experiments on the VisDrone and UAVDT datasets substantiate the effectiveness of our approach,achieving a significant improvement in accuracy with a reduction in computational complexity.Our method achieves 31.9%and 21.1%AP on the VisDrone and UAVDT datasets,respectively,and has a faster inference speed,making it a competitive model in UAV image object detection.

关键词： UAV images transformer dense small object detection

Long-term functional maintenance of primary hepatocytes in vitro using macroporous hydrogels engineered through liquid-liquid phase separation

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Nano Research 2024年第3期17卷 1725-1736页

作者： Yang Sun Sheng Yin Jian Cui Zhongxia wang Yueying Han Ding Ma Shuo wang Junhua Wu Yi Cao chunping Jiang Xiaosong Gu Jinan Microecological Biomedicine Shandong Laboratory Jinan 250021China Collaborative Innovation Center of Advanced Microstructures National Laboratory of Solid State MicrostructureKey Laboratory of Intelligent Optical Sensing and ManipulationMinistry of EducationDepartment of PhysicsNanjing UniversityNanjing 210093China Department of Hepatobiliary Surgery The Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjing 210093China National Institute of Healthcare Data Science at Nanjing University Nanjing UniversityNanjing 210093China

Preserving the functionality of hepatocytes in vitro poses a significant challenge in liver tissue engineering and bioartificial liver,as these cells rapidly lose their metabolic and functional characteristics after isolation.Inspired by the macroporous structures found in native liver tissues,here we develop synthetic hydrogel scaffolds that closely mimic the liver’s structural organization through the phase separation between polyethylene glycol(PEG)and polysaccharides.Our hydrogels exhibit interconnected macroporous structures and appropriate mechanical properties,providing an optimal microenvironment conducive to hepatocyte adhesion and the formation of sizable aggregates.Compared to two-dimensional hepatocyte cultures,enhanced functionalities of hepatocytes cultured in our macroporous hydrogels were observed for 14 days,as evidenced by quantitative reverse-transcription–polymerase chain reactions(qRT-PCR),immunofluorescence,and enzyme linked immunosorbent assay(ELISA)analyses.Protein sequencing data further confirmed the establishment of cell–cell interactions among hepatocytes when cultured in our hydrogels.Notably,these hepatocytes maintained a protein expression lineage that closely resembled freshly isolated hepatocytes,particularly in the Notch and tumor necrosis factor(TNF)signaling pathways.These results suggest that the macroporous hydrogels are attractive scaffolds for liver tissue engineering.

关键词： liver tissue engineering phase separation hepatocytes macroporous hydrogel

Comparison of Combustion Characteristics of Tars Produced with Tobacco Stem Biomass Gasification

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Journal of Renewable Materials 2024年第1期12卷 119-129页

作者： Bo Chen Mingjun wang Bo Liu chunping Lu Guohai Jia Yong Chao Chao Zhong School of Mechanical Engineering Hunan Institute of EngineeringXiangtan411104China School of Automotive Engineering Xiangtan Institute of TechnologyXiangtan411100China School of Electrical and Information Engineering Hunan Institute of EngineeringXiangtan411104China China Metallurgic Jingcheng(Xiangtan)Heavy Industry Equipment Co. Ltd.Xiangtan411100China Hunan Shuanghuan Fiber Molding Machinery Co. Ltd.Xiangtan411100China

In order to study the combustion characteristics of tar in biomass gasifier inner wall and gasification gas,“tobacco stem semi-tar inside furnace”,“tobacco stem tar inside furnace”and“tobacco stem tar out-of-furnace”were subjected to thermogravimetric experiments,and the combustion characteristics and kinetic characteristics were analyzed.The result shows that“tobacco stem semi-tar inside furnace”has the highest value and“tobacco stem tar out-of-furnace”is has the lowest value on ignition characteristics,combustion characteristics and combustible stability;“tobacco stem semi-tar inside furnace”has the lowest value and“tobacco stem tar outside furnace”has the highest value on burnout characteristics;“tobacco stem tar outside furnace”has the highest value and“tobacco stem tar inside furnace”has the lowest value on integrated combustion characteristics.

关键词： Tobacco stem tar gasifier combustion characteristics

Anti-inflammatory germacrane-type sesquiterpene lactones from Vernonia sylvatica

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Chinese Journal of Natural Medicines 2024年第6期22卷 568-576页

作者： wang Min LI Han HU Bintao TANG chunping XU Hui KE Changqiang XIE Zuoquan YE Yang YAO Sheng State Key Laboratory of Drug Research&Natural Products Research Center Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China School of Life Science and Technology Shanghai Tech UniversityShanghai 201210China State Key Laboratory of Drug Research Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China Zhongshan Institute for Drug Discovery Shanghai Institute of Materia MedicaChinese Academy of SciencesZhongshan 528400China

Nine new germacranolides,sylvaticalides A−H(1-9),and three known analogues(10-12)were isolated from the aeri-al part of Vernonia sylvatica.Their structures were established using comprehensive spectroscopic analysis,including high-resolution electrospray ionization mass spectroscopy(HR-ESI-MS)and 1D and 2D nuclear magnetic resonance(NMR)spectra.Their absolute configurations were determined by X-ray diffraction experiments.The anti-inflammatory activities of all isolated compounds were as-sessed by evaluating their inhibitory effects on the nuclear factor kappa B(NF-κB)pathway,which was activated by lipopolysacchar-ide(LPS)-stimulated human THP1-Dual cells,and the interferon-stimulated gene(ISG)pathway,activated by STING agonist MSA-2 in the same cell model.Compounds 1,2 and 6 showed inhibitory effects on the NF-κB and ISG signaling pathways,with IC_(50)values ranging from 4.12 to 10.57μmol·L^(−1).

关键词： Vernonia sylvatica Germacrane-type sesquiterpene lactone Sylvaticalides A−H Anti-inflammatory NF-κB path-way ISG pathway

Genome-wide association mapping and genomic prediction of stalk rot in two mid-altitude tropical maize populations

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The Crop Journal 2024年第2期12卷 558-568页

作者： Junqiao Song Angela Pacheco Amos Alakonya Andrea S.Cruz-Morales Carlos Muoz-Zavala Jingtao Qu chunping wang Xuecai Zhang Felix San Vicente Thanda Dhliwayo College of Agronomy Henan University of Science and TechnologyLuoyang 471000HenanChina International Maize and Wheat Improvement Center(CIMMYT) El BatanMexico Anyang Academy of Agricultural Sciences Anyang 455000HenanChina CIMMYT-China Specialty Maize Research Center Crop Breedingand Cultivation Research InstituteShanghai Academy of Agricultural SciencesShanghai 201403China

Maize stalk rot reduces grain yield and quality.Information about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the trait.Genomic prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted selection.We performed a genome-wide association study(GWAS)and genomic prediction of resistance in testcross hybrids of 677 inbred lines from the Tuxpe?o and non-Tuxpe?o heterotic pools grown in three environments and genotyped with 200,681 single-nucleotide polymorphisms(SNPs).Eighteen SNPs associated with stalk rot shared genomic regions with gene families previously associated with plant biotic and abiotic responses.More favorable SNP haplotypes traced to tropical than to temperate progenitors of the inbred lines.Incorporating genotype-by-environment(G×E)interaction increased genomic prediction accuracy.

关键词： Maize stalk rot Genome-wide association mapping Haplotype analysis Genomic prediction G×E interaction

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The Moderating Effect of Organizational Identification on Occupational Stress and Insomnia Among Nurses

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Journal of Clinical and Nursing Research 2024年第1期8卷 36-44页

作者： Jing wang Haiyun Gai chunping Ni Juan Du Shanshan Li Huihui Yu School of Nursing Shaanxi University of Chinese MedicineXianyang 712046Shaanxi ProvinceChina Medical School Xi’an Siyuan UniversityXi’an 710038Shaanxi ProvinceChina School of Nursing Xi’an Jiaotong UniversityXi’an 710048Shaanxi ProvinceChina Department of Nursing Air Force Medical UniversityXi’an 710032Shaanxi ProvinceChina

Objective:To explore the relationship between organizational identification,occupational stress,and insomnia among nurses and to analyze the moderating role of organizational identification between occupational stress and insomnia.Methods:Through stratified sampling,720 nurses working in a tertiary A-level hospital in Shandong Province from March to May 2021 were surveyed using an effort-reward imbalance questionnaire,an organizational identification questionnaire,and the Athens Insomnia scale.Results:Organizational identification was negatively correlated with occupational stress and insomnia(r_(1)=-0.121,P_(1)<0.01;r_(2)=-0.144,P_(2)<0.01).Occupational stress was positively correlated with insomnia(r=0.379,P<0.01).Organizational identity significantly moderated nurses’occupational stress and insomnia(β=-0.192,t=-2.558,P<0.05).Conclusion:Occupational stress and organizational identification can predict insomnia.Organizational identification could negatively mediate the relationship between occupational stress and insomnia.Improving organizational identification may help alleviate insomnia symptoms by relieving occupational stress.

关键词： Nurse Occupational stress Insomnia Organizational identification Moderating effect

单轴压缩条件下单裂隙花岗岩力学特性及破坏特征

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西南交通大学学报 2024年第2期59卷 369-376,446页

作者：王春萍王璐刘建锋刘健核工业北京地质研究院北京100029 国家原子能机构高放废物地质处置创新中心北京100029 四川大学水利水电学院四川成都610065 西华大学建筑与土木工程学院四川成都610039

为研究含贯通单裂隙花岗岩的力学特性及破坏特征,以我国高放废物地质处置甘肃北山预选区完整花岗岩及含倾角30°、45°和60°贯通裂隙的花岗岩为研究对象,开展单轴压缩试验研究.结果表明:裂隙倾角越大,试样的单轴抗压强度、损伤应力以... 详细信息

为研究含贯通单裂隙花岗岩的力学特性及破坏特征,以我国高放废物地质处置甘肃北山预选区完整花岗岩及含倾角30°、45°和60°贯通裂隙的花岗岩为研究对象,开展单轴压缩试验研究.结果表明:裂隙倾角越大,试样的单轴抗压强度、损伤应力以及弹性模量越低;与完整岩石相比,倾角30°、45°和60°裂隙花岗岩的抗压强度分别下降7.97%、29.17%和71.68%,损伤应力分别下降9.35%、24.26%和69.79%,弹性模量分别下降5.89%、23.32%和60.49%.裂隙倾角不同,试样的应力-应变曲线呈现出显著的差别;裂隙倾角越大,损伤应力至峰值应力之间的屈服阶段越明显,发生沿裂隙面滑移破坏特征越显著;裂隙倾角影响花岗岩的破坏模式,试样的破坏形式主要表现为穿裂隙面破坏(倾角30°)、穿裂隙面破坏和沿裂隙面滑移并存的复合破坏(倾角45°)以及沿裂隙面滑移破坏(倾角60°);倾角60°的裂隙花岗岩的抗压强度与试验前后裂隙面的分形维数差符合幂函数增长关系.

关键词：岩石力学单裂隙花岗岩裂隙倾角单轴压缩试验破坏特征

基于anchor-free的光学遥感舰船关重部位检测算法

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北京航空航天大学学报 2024年第4期50卷 1365-1374页

作者：张冬冬王春平付强陆军工程大学石家庄校区电子与光学工程系石家庄050003

针对基于深度学习的遥感舰船检测算法存在精细化程度不足、检测效率低的问题,提出一种基于anchor-free的光学遥感舰船关重部位检测算法。所提算法以全卷积的单阶段目标检测(FCOS)算法为基准,在主干网络中引入全局上下文模块,提高网络的... 详细信息

针对基于深度学习的遥感舰船检测算法存在精细化程度不足、检测效率低的问题,提出一种基于anchor-free的光学遥感舰船关重部位检测算法。所提算法以全卷积的单阶段目标检测(FCOS)算法为基准,在主干网络中引入全局上下文模块,提高网络的特征表达能力;为更好地描述目标的方向性,在预测阶段构建了具有方向表征能力的回归分支;对中心度函数进行优化,使其具备方向感知和自适应能力。实验结果表明:在自建舰船关重部位数据集和HRSC2016上,所提算法的平均精度(AP)比FCOS算法有显著提升;与其他算法相比,所提算法在检测速度和检测精度上均表现优越,具有较高的检测效率。

关键词：深度学习遥感图像 anchor-free 舰船检测关重部位检测全卷积单阶段检测

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特征反馈机制优化的超声图像病灶检测算法

电子与信息学报 2024年第3期46卷 1013-1021页

作者：丁建睿王凌涛汤丰赫宁春平哈尔滨工业大学(威海)计算机科学与技术学院威海264209 青岛大学附属医院超声科青岛266003

该文提出一种基于特征反馈机制的超声图像病灶检测方法,以实现超声病灶的实时精确定位与检测。所提方法由基于特征反馈机制的特征提取网络和基于分治策略的自适应检测头两部分组成。特征反馈网络通过反馈特征选取和加权融合计算,充分学... 详细信息

该文提出一种基于特征反馈机制的超声图像病灶检测方法,以实现超声病灶的实时精确定位与检测。所提方法由基于特征反馈机制的特征提取网络和基于分治策略的自适应检测头两部分组成。特征反馈网络通过反馈特征选取和加权融合计算,充分学习超声图像的全局上下文信息和局部低级语义细节以提高局部病灶特征的识别能力。自适应检测头对特征反馈网络所提取的多级特征进行分治预处理,通过将生理先验知识与特征卷积相结合的方式对各级特征分别进行病灶形状和尺度特征的自适应建模,增强检测头对不同大小病灶在多级特征下的检测效果。所提方法在甲状腺超声图像数据集上进行了测试,得到了70.3%的AP,99.0%的AP50和88.4%的AP75,实验结果表明,相较于主流检测算法,所提算法能实现更精准的实时超声图像病灶检测和定位。

关键词：病灶检测特征反馈自适应检测头