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Occluded Gait Emotion Recognition Based on Multi-Scale Suppression Graph Convolutional Network

Computers, Materials & Continua 2025年第1期82卷 1255-1276页

作者： Yuxiang Zou Ning He Jiwu Sun Xunrui huang Wenhua Wang Beijing Key Laboratory of Information Service Engineering Beijing Union UniversityBeijing100101China College of Smart City Beijing Union UniversityBeijing100101China

In recent years,gait-based emotion recognition has been widely applied in the field of computer ***,existing gait emotion recognition methods typically rely on complete human skeleton data,and their accuracy significantly declines when the data is *** enhance the accuracy of gait emotion recognition under occlusion,this paper proposes a Multi-scale Suppression Graph ConvolutionalNetwork(MS-GCN).TheMS-GCN consists of three main components:Joint Interpolation Module(JI Moudle),Multi-scale Temporal Convolution Network(MS-TCN),and Suppression Graph Convolutional Network(SGCN).The JI Module completes the spatially occluded skeletal joints using the(K-Nearest Neighbors)KNN interpolation *** MS-TCN employs convolutional kernels of various sizes to comprehensively capture the emotional information embedded in the gait,compensating for the temporal occlusion of gait *** SGCN extracts more non-prominent human gait features by suppressing the extraction of key body part features,thereby reducing the negative impact of occlusion on emotion recognition *** proposed method is evaluated on two comprehensive datasets:Emotion-Gait,containing 4227 real gaits from sources like BML,ICT-Pollick,and ELMD,and 1000 synthetic gaits generated using STEP-Gen technology,and ELMB,consisting of 3924 gaits,with 1835 labeled with emotions such as“Happy,”“Sad,”“Angry,”and“Neutral.”On the standard datasets Emotion-Gait and ELMB,the proposed method achieved accuracies of 0.900 and 0.896,respectively,attaining performance comparable to other ***,on occlusion datasets,the proposedmethod significantly mitigates the performance degradation caused by occlusion compared to other methods,the accuracy is significantly higher than that of other methods.

关键词： KNN interpolation multi-scale temporal convolution suppression graph convolutional network gait emotion recognition human skeleton

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Optimal design of the aerodynamic parameters for a supersonic two-dimensional guided artillery projectile

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Defence Technology（防务技术） 2017年第3期13卷 206-211页

作者： Ke liang zheng huang Jing-min Zhang Xi'an Institute of Electromechanical Information Technology Norinco Group No.208 Research Institute of China Ordnance Industries

An optimization method is introduced to design the aerodynamic parameters of a dual-spin twodimensional guided projectile with the canards for trajectory correction. The nose guidance component contains two pairs of canards which can provide lift and despin with the projectile for stability. The optimal design algorithm is developed to decide the profiles both of the steering and spinning canards,and their deflection angles are also simulated to meet the needs of trajectory correction ***, the aerodynamic efficiency of the specific canards is discussed according to the CFD *** that obtained here can be further applied to the exterior ballistics design.

关键词：参数优化设计制导炮弹气动参数二维超声速 CFD模拟弹道修正修正能力

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小麦抗条锈基因Yr5、Yr9和Yr18分子标记的特异性评估

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麦类作物学报 2025年第1期45卷 45-51页

作者：孙振宇黄亮黄苗苗刘太国甘肃省农业科学院植物保护研究所甘肃兰州730070 中国农业科学院植物保护研究所植物病虫害综合治理全国重点实验室北京100193 青海大学农林科学院青海西宁810016

Yr5、Yr9(1B/1R)、Yr18基因的自身性状或连锁性状在中国小麦育种中具有重要的应用前景。本研究运用以Avocet S为背景的单基因近等基因系及其对应基因的载体品种,对Yr5基因的连锁标记STS9/10,Yr9(1B/1R)基因的分子标记AF1/4、D15、20H,Y... 详细信息

Yr5、Yr9(1B/1R)、Yr18基因的自身性状或连锁性状在中国小麦育种中具有重要的应用前景。本研究运用以Avocet S为背景的单基因近等基因系及其对应基因的载体品种,对Yr5基因的连锁标记STS9/10,Yr9(1B/1R)基因的分子标记AF1/4、D15、20H,Yr18基因的分子标记csLV34、cssfr1~cssfr5进行有效性验证。结果表明,Yr5基因的特异性分子标记STS9/10、Yr9(1B/1R)基因的特异性分子标记AF1/4、D15和20H均能够准确识别不同遗传背景材料中的相应抗性基因;Yr18基因分子标记cssfr2能够准确检测Yr18的非载体材料,并检测出Avocet S*6/Yr5、Avocet S*6/Yr24、Avocet S*6/Yr27三个材料具有Yr18的等位变异。这说明Yr5基因的连锁标记STS9/10,Yr9(1B/1R)基因的分子标记AF1/4、D15、20H能对目的基因进行有效检测,Yr18基因的几个分子标记结合使用不仅能够对目的基因进行有效检测,而且能够识别该位点的等位变异。

关键词：抗条锈基因分子标记特异性

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PD-YOLO:Colon Polyp Detection Model Based on Enhanced Small-Target Feature Extraction

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Computers, Materials & Continua 2025年第1期82卷 913-928页

作者： Yicong Yu Kaixin Lin Jiajun Hong Rong-Guei Tsai Yuanzhi huang New Engineering Industry College Putian UniversityPutian351100China Engineering Research Center of Big Data Application in Private Health Medicine(Putian University) Fujian Province UniversityPutian351100China Computer College Guangdong University of Science&TechnologyDongguan523668China

In recent years,the number of patientswith colon disease has increased *** polyps are the precursor lesions of colon *** not diagnosed in time,they can easily develop into colon cancer,posing a serious threat to patients’lives and health.A colonoscopy is an important means of detecting colon ***,in polyp imaging,due to the large differences and diverse types of polyps in size,shape,color,etc.,traditional detection methods face the problem of high false positive rates,which creates problems for doctors during the diagnosis *** order to improve the accuracy and efficiency of colon polyp detection,this question proposes a network model suitable for colon polyp detection(PD-YOLO).This method introduces the self-attention mechanism CBAM(Convolutional Block Attention Module)in the backbone layer based on YOLOv7,allowing themodel to adaptively focus on key information and ignore the unimportant *** help themodel do a better job of polyp localization and bounding box regression,add the SPD-Conv(Symmetric Positive Definite Convolution)module to the neck layer and use deconvolution instead of *** results indicate that the PD-YOLO algorithm demonstrates strong robustness in colon polyp *** to the original YOLOv7,on the Kvasir-SEG dataset,PD-YOLO has shown an increase of 5.44 percentage points in AP@0.5,showcasing significant advantages over other mainstream methods.

关键词： Polyp detection YOLOv7 SPD-Conv CBAM deconvolution

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1,2-二氯乙烷对NIH小鼠学习记忆的影响

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中国职业医学 2018年第1期45卷 1-6页

作者：张雅婷钟怡洲李国樑郑杰蔚吴洁姣曾丽海黄曼琪谢植伟陆丰荣梁博萱江亮郑倩玲黄振烈广东药科大学公共卫生学院广东广州510315 广东省职业病防治院广东省职业病防治重点实验室510300 中山大学公共卫生学院 510275

目的研究1,2-二氯乙烷(1,2-DCE)亚急性全身动式吸入暴露对NIH小鼠学习记忆能力的影响。方法无特定病原体级健康7周龄NIH小鼠45只,随机分为对照组、低剂量组和高剂量组,每组雌鼠5只,雄鼠10只。采用全身动式吸入染毒方式,分别予剂量为0.00... 详细信息

目的研究1,2-二氯乙烷(1,2-DCE)亚急性全身动式吸入暴露对NIH小鼠学习记忆能力的影响。方法无特定病原体级健康7周龄NIH小鼠45只,随机分为对照组、低剂量组和高剂量组,每组雌鼠5只,雄鼠10只。采用全身动式吸入染毒方式,分别予剂量为0.00、100.00、350.00 mg/m3的1,2-DCE染毒,6 h/d,连续28 d。分别于染毒前和染毒第1~4周采用Morris水迷宫实验对NIH小鼠进行神经行为学测试。结果 3组小鼠的体质量和游泳速度分别比较,差异均无统计学意义(P>0.05)。定位航行实验结果显示,染毒第1~4周,低和高剂量组小鼠的逃避潜伏期均较同时间点对照组延长(P<0.05);对照组小鼠染毒第1~4周的逃避潜伏期均较同组染毒前缩短(P<0.05);而高剂量组小鼠逃避潜伏期随染毒时间增加而延长,在染毒第4周逃避潜伏期较同组染毒前出现有统计学意义的延长(P<0.05)。空间探索实验结果显示,低和高剂量组小鼠染毒第2~4周的第1次穿越平台时间均较同时间点对照组延长(P<0.05);低和高剂量组小鼠的目标象限停留时间和穿越平台次数均低于对照组(P<0.05)。结论 1,2-DCE亚急性吸入暴露可致NIH小鼠的学习记忆能力损伤;高剂量染毒时可致学习能力呈时间-效应性降低。

关键词： 1 2-二氯乙烷亚急性动式吸入 Morris水迷宫实验学习记忆神经行为小鼠

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Deep eutectic solvents for separation and purification applications in critical metal metallurgy:Recent advances and perspectives

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 1-19页

作者： Shuo Chen Shengpeng Su Yanfang huang Bingbing Liu Hu Sun Shuzhen Yang Guihong Han School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China Zhongyuan Critical Metals Laboratory Henan ProvinceZhengzhou 450001China

Solvent extraction,a separation and purification technology,is crucial in critical metal *** solvents commonly used in solvent extraction exhibit disadvantages,such as high volatility,high toxicity,and flammability,causing a spectrum of hazards to human health and environmental *** solvents have been recognized as potential alternatives to these harmful organic *** the past two decades,several neoteric solvents have been proposed,including ionic liquids(ILs)and deep eutectic solvents(DESs).DESs have gradually become the focus of green solvents owing to several advantages,namely,low toxicity,degradability,and low *** this critical review,their classification,formation mechanisms,preparation methods,characterization technologies,and special physicochemical properties based on the most recent advancements in research have been systematically ***,the major separation and purification applications of DESs in critical metal metallurgy were comprehensively ***,future opportunities and challenges of DESs were explored in the current research *** conclusion,this review provides valuable insights for improving our overall understanding of DESs,and it holds important potential for expanding separation and purification applications in critical metal metallurgy.

关键词： deep eutectic solvents preparations properties separation and purification critical metal metallurgy

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Integration of Electrical Properties and Polarization Loss Modulation on Atomic Fe–N‑RGO for Boosting Electromagnetic Wave Absorption

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Nano-Micro Letters 2025年第2期17卷 517-532页

作者： Kaili Zhang Yuefeng Yan Zhen Wang Guansheng Ma Dechang Jia Xiaoxiao huang Yu Zhou State Key Laboratory of Precision Welding&Joining of Materials and Structures Harbin Institute of TechnologyHarbin 150001People’s Republic of China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001People’s Republic of China MIIT Key Laboratory of Advanced Structural‑Functional Integration Materials&Green Manufacturing Technology Harbin Institute of TechnologyHarbin 150001People’s Republic of China

Developing effective strategies to regulate graphene’s conduction loss and polarization has become a key to expanding its application in the electromagnetic wave absorption(EMWA)*** on the unique energy band structure of graphene,regulating its bandgap and electrical properties by introducing heteroatoms is considered a feasible ***,metal-nitrogen doping reduced graphene oxide(M–N-RGO)was prepared by embedding a series of single metal atoms M–N_(4) sites(M=Mn,Fe,Co,Ni,Cu,Zn,Nb,Cd,and Sn)in RGO using an N-coordination atom-assisted *** composites had adjustable conductivity and polarization to optimize dielectric loss and impedance matching for efficient EMWA *** results showed that the minimum reflection loss(RL_(min))of Fe–N-RGO reaches−74.05 dB(2.0 mm)and the maximum effective absorption bandwidth(EAB_(max))is 7.05 GHz(1.89 mm)even with a low filler loading of only 1 wt%.Combined with X-ray absorption spectra(XAFS),atomic force microscopy,and density functional theory calculation analysis,the Fe–N_(4) can be used as the polarization center to increase dipole polarization,interface polarization and defect-induced polarization due to d-p orbital hybridization and structural ***,electron migration within the Fe further leads to conduction loss,thereby synergistically promoting energy *** study demonstrates the effectiveness of metal-nitrogen doping in regulating the graphene′s dielectric properties,which provides an important basis for further investigation of the loss mechanism.

关键词： Electromagnetic wave absorption Fe-N-RGO Dipole polarization Conduction loss Impedance matching

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Energy saving performance improvement of intelligent connected PHEVs via NN-based lane change decision

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Science China(Technological Sciences) 2021年第6期64卷 1203-1211页

作者： huang ChangYao LI liang FANG ShengNan CHENG Shuo CHEN zheng State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China School of Sciences Ningbo University of TechnologyNingbo 315211China

Plug-in hybrid electric vehicles(PHEVs) unite the advantages of the engine and electric motor which could provide great potential in saving energy. However, the fuel economy performance of the PHEVs is highly associated with the driving condition, especially for parallel PHEVs because they could not decouple the engine work status from the driving condition. Meanwhile, fuel economy performance is not only a longitudinal issue but also related to lane selection. Lane selection is an important driving behavior and the algorithm of lane selection is necessary for the development progress of intelligent connected vehicles. Energy consumption cost is an important part of the vehicle’s using consumption cost. Therefore, lane selection strategies must consider this *** the development of intelligent connected vehicle technology, such as V2X(Vehicle to Everything), the potential of energy consumption performance of intelligent connected PHEVs could be improved by taking environment information from V2X and smart sensors into lane selection. In this paper, a neural network(NN) based method is proposed to predict the future status of the local vehicle using the information from V2X, and then another network is used to estimate the future energy consumption of each lane. The lane selection is decided on energy consumption estimation. Lastly, the effectiveness of the method is validated by simulation using Matlab combined with SUMO(Simulation of Urban MObility).

关键词： PHEV energy saving lane selection neural network

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Glucocorticoid receptor signaling in the brain and its involvement in cognitive function

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Neural Regeneration Research 2025年第9期20卷 2520-2537页

作者： Chonglin Su Taiqi huang Meiyu Zhang Yanyu Zhang Yan Zeng Xingxing Chen Brain Science and Advanced Technology Institute Hubei Province Key Laboratory of Occupational Hazard Identification and ControlSchool of MedicineWuhan University of Science and TechnologyWuhanHubei ProvinceChina

The hypothalamic-pituitary-adrenal axis regulates the secretion of glucoco rticoids in response to environmental *** the brain,a nuclear receptor transcription fa ctor,the glucocorticoid recepto r,is an important component of the hypothalamicpituitary-a d renal axis's negative feedback loop and plays a key role in regulating cognitive equilibrium and *** glucoco rticoid receptor influences cognitive processes,including glutamate neurotransmission,calcium signaling,and the activation of brain-derived neurotrophic factor-mediated pathways,through a combination of genomic and non-genomic *** interactions within the central nervous system can alter the expression and activity of the glucocorticoid receptor,there by affecting the hypothalamic-pituitary-a d renal axis and stress-related cognitive *** appropriate level of glucocorticoid receptor expression can improve cognitive function,while excessive glucocorticoid receptors or long-term exposure to glucoco rticoids may lead to cognitive *** with cognitive impairment-associated diseases,such as Alzheimer's disease,aging,depression,Parkinson's disease,Huntington's disease,stroke,and addiction,often present with dysregulation of the hypothalamic-pituitary-adrenal axis and glucocorticoid receptor *** review provides a comprehensive overview of the functions of the glucoco rticoid receptor in the hypothalamic-pituitary-a d renal axis and cognitive *** emphasizes that appropriate glucocorticoid receptor signaling fa cilitates learning and memory,while its dysregulation can lead to cognitive *** provides clues about how glucocorticoid receptor signaling can be targeted to ove rcome cognitive disability-related disorders.

关键词： brain-derived neurotrophic factor calcium signaling glucocorticoid receptor glucocorticoid glutamate transmission hypothalamic-pituitary-adrenal axis long-term potentiation neurocognitive disorders neuroplasticity stress

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Study on response of metal wire in thermoacoustic imaging

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Journal of Innovative Optical Health Sciences 2022年第3期15卷 45-53页

作者： zheng liang Weipeng Wang Shuaiqi Qiao Lin huang School of Electronic Science and Engineering(National Exemplary School of Microelectronics)University of Electronic Science and Technology of China Chengdu 611731 P.R.China Center for Information in Medicine University of Electronic and Technology of China Chengdu 611731 P.R.China

Thermoacoustic imaging(TAI)is an emerging high-resolution and high-contrast imaging *** recent years,metal wires have been used in TAI experiments to quantitatively evaluate the spatial resolution of different ***,there is still a lack of analysis of the response characteristics and principles of metal wires in *** theoretical and simulation analyses,this paper proposes that the response of metal(copper)wires during TAI is equivalent to the response of *** critically,the response of the copper wire is equivalent to the response of a half-wave dipole *** its length is close to half the wavelength of the incident electromagnetic wave,it obtains the best *** simulation,when the microwave excitation frequencies are 1.3 GHz,3.0 GHz,and 5.3 GHz,and the lengths of copper wires are separately set to 11 cm,5 cm,and 2.5 cm,the maximum SAR distribution and energy coupling effciency are *** result is connected with the best response of half-wave dipole antennas with lengths of 11 cm,4.77 cm,and 2.7 cm under the theoretical design,*** the further application,TAI can be used to conduct guided minimally invasive surgery on surgical instrument ***,this paper indicated that results can also guide the design of metal surgical instruments utilized in different microwave frequencies.

关键词： Thermoacoustic imaging simulation metal wire antenna

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