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GDMNet: A Unified Multi-Task Network for Panoptic Driving Perception

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Computers, Materials & Continua 2024年第8期80卷 2963-2978页

作者： Yunxiang Liu Haili Ma Jianlin Zhu Qiangbo zhang School of Computer Science and Information Engineering Shanghai Institute of TechnologyShanghai201418China

To enhance the efficiency and accuracy of environmental perception for autonomous vehicles,we propose GDMNet,a unified multi-task perception network for autonomous driving,capable of performing drivable area segmentation,lane detection,and traffic object ***,in the encoding stage,features are extracted,and Generalized Efficient Layer Aggregation Network(GELAN)is utilized to enhance feature extraction and gradient ***,in the decoding stage,specialized detection heads are designed;the drivable area segmentation head employs DySample to expand feature maps,the lane detection head merges early-stage features and processes the output through the Focal Modulation Network(FMN).Lastly,the Minimum Point Distance IoU(MPDIoU)loss function is employed to compute the matching degree between traffic object detection boxes and predicted boxes,facilitating model training *** results on the BDD100K dataset demonstrate that the proposed network achieves a drivable area segmentation mean intersection over union(mIoU)of 92.2%,lane detection accuracy and intersection over union(IoU)of 75.3%and 26.4%,respectively,and traffic object detection recall and mAP of 89.7%and 78.2%,*** detection performance surpasses that of other single-task or multi-task algorithm models.

关键词： Autonomous driving multitask learning drivable area segmentation lane detection vehicle detection

Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma:Based on muti-omics analysis and vitro assay

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Oncology Research 2024年第2期32卷 393-407页

作者： HONGYUAN LIANG YANQIU LI YONGGANG QU LINGYUN zhang Department of Radiology Shengjing Hospital of China Medical UniversityShenyangChina Department of Nephrology The First Affiliated Hospital of China Medical UniversityShenyangChina Department of Clinical Medicine China Medical UniversityShenyangChina Department of Medical Oncology The First Hospital of China Medical UniversityShenyangChina

Advanced LUAD shows limited response to treatment including immune *** the development of sequencing omics,it is urgent to combine high-throughput multi-omics data to identify new immune checkpoint therapeutic response *** GSE72094(n=386)and GSE31210(n=226)gene expression profile data in the GEO database,we identified genes associated with lung adenocarcinoma(LUAD)death using tools such as“edgeR”and“maftools”and visualized the characteristics of these genes using the“circlize”R *** constructed a prognostic model based on death-related genes and optimized the model using LASSO-Cox regression *** calculating the cell death index(CDI)of each individual,we divided LUAD patients into high and low CDI groups and examined the relationship between CDI and overall survival time by principal component analysis(PCA)and Kaplan-Meier *** also used the“ConsensusClusterPlus”tool for unsupervised clustering of LUAD subtypes based on model *** addition,we collected data on the expression of immunomodulatory genes and model genes for each cohort and performed tumor microenvironment *** also used the TIDE algorithm to predict immunotherapy responses in the CDI ***,we studied the effect of PRKCD on the proliferation and migration of LUAD cells through cell culture *** study utilized the TCGA-LUAD cohort(n=493)and identified 2,901 genes that are differentially expressed in patients with *** KEGG and GO enrichment analysis,these genes were found to be involved in a wide range of biological *** study also used univariate Cox regression models and LASSO regression analyses to identify 17 candidate genes that were best associated with mortality prognostic risk *** comparing the overall survival(OS)outcomes of patients with different CDI values,it was found that increased CDI levels were significantly associated with lower OS *** addition,the study used unsupervised cluster analysis to d

关键词： Lung adenocarcinoma Programmed cell death Iron-death Drug sensitivity Cancer therapy

Upcycling municipal solid waste to sustainable hydrogen via two-stage gasification-reforming

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Journal of Energy Chemistry 2024年第9期96卷 611-624页

作者： Hui Zhou Shuzhuang Sun Yikai Xu Yeshui zhang Shouliang Yi Chunfei Wu Department of Energy and Power Engineering Tsinghua UniversityBeijing 100084China School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001HenanChina Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center Frontiers Science Center for Materiobiology and Dynamic ChemistrySchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai 200237China School of Engineering University of AberdeenAberdeen AB243UEUK U.S.Department of Energy National Energy Technology LaboratoryPittsburghPA 15236USA School of Chemistry and Chemical Engineering Queen’s University BelfastBelfast BT71NNUK

As global municipal solid waste(MSW)quantities continue to escalate,serious socio-environmental challenges arise,necessitating innovative ***-to-hydrogen(WTH)via two-stage gasification-reforming(TSGR)presents an emergent technology for MSW upcycling,offering to ease waste management burdens and bolster the burgeoning hydrogen *** early initiatives to advance TSGR technology,a cohesive and critical analysis of cutting-edge knowledge and strategies to enhance hydrogen production remains *** review aggregates literature on MSW upcycling to hydrogen via TSGR,with a focus on optimizing process control and catalytic *** underscores technological avenues to augment hydrogen output,curtail catalyst costs,and refine system ***,the review illuminates the potential for integrating chemical and calcium looping into TSGR processes,identifying opportunities,and pinpointing *** review concludes with a summary of the current state of techno-economic analysis for this technology,presenting outstanding challenges and future research directions,with the ultimate goal of transitioning WTH from theoretical to practical application.

关键词： Municipal solidwaste Upcycling Gasification Reforming Hydrogen

An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu zhenpeng Liu Xingfan Jiang Xinguang Tao Ye zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

In vivo 3-photon fluorescence microscopy of white matter in mouse brain excited at the 1700 nm window

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Journal of Innovative Optical Health Sciences 2024年第5期17卷 81-87页

作者： Jie Huang Jincheng Zhong Shen Tong Yingxian zhang Ping Qiu Ke Wang Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060P.R.China School of Medical Information and Engineering Xuzhou Medical UniversityXuzhou 221004P.R.China

White matter,a densely packed collection of myelinated axons,plays an essential part in neural *** high spatial resolution and deep penetration,multi-photon microscopy(MPM)is promising for white matter imaging in animal models in *** third harmonic generation(THG)signal can be generated from white matter,but the bottom part of the white matter layer generates weak THG due to its high ***,we demonstrate an in vivo labeling and imaging technology,capable of visualizing the white matter layer in the mouse brain,combining°uorescence labeling with MitoTracker Red and three-photon°uorescence(3PF)microscopy excited at the 1700 nm window.3PF signals are several times higher than THG signals,resulting in deeper imaging of the white matter layer with the *** results indicate that 3PF microscopy is a promising technology for white matter imaging in the deep brain in vivo.

关键词： Three-photon microscopy white matter myelin MitoTracker Red

Constructing high coordination number of Ir-O-Ru bonds in IrRuO_(x)nanomeshes for highly stable acidic oxygen evolution reaction

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Nano Research 2024年第6期17卷 5073-5079页

作者： Ge Yu Ruilong Li Yida zhang Xingen Lin Gongming Wang Xun Hong Center of Advanced Nanocatalysis(CAN) Department of Applied ChemistryUniversity of Science and Technology of ChinaHefei 230026China National Synchrotron Radiation Laboratory(NSRL) University of Science and Technology of ChinaHefei 230029China

IrRu bimetallic oxides are recognized as the promising acidic oxygen evolution reaction(OER)catalysts,but breaking the trade-off between their activity and stability is an unresolved ***,addressing the issues of mass transport obstruction of IrRu bimetallic oxides under high current remains a challenge for the development of proton exchange membrane water electrolysis(PEM-WE).Herein,we prepared an IrRuO_(x)nanomeshes(IrRuO_(x)NMs)with high coordination number(CN)of Ir-O-Ru bonds in a mixed molten salt with high solubility of the Ir/Ru precursor.X-ray absorption spectroscopy analysis revealed that the IrRuO_(x)NMs possess high coordination number of Ir-O-Ru bonds(CNIr-O-Ru=5.6)with a distance of 3.18Å.Moreover,the nanomesh structures of IrRuO_(x)NMs provided hierarchical channels to accelerate the transport of oxygen and water,thus further improving the electrochemical ***,the IrRuO_(x)NMs as OER catalysts can simultaneously achieve high activity and stability with low overpotential of 196 mV to reach 10 mA·cm^(−2)and slightly increase by 70 mV over 650 h *** electrochemical mass spectrometry tests suggest that the preferred OER mechanism for IrRuO_(x)NMs is the adsorbent evolution mechanism,which is beneficial for the robust structural stability.

关键词： oxygen evolution reaction IrRuO_(x) Ir-O-Ru bonds two-dimensional(2D)nanomesh proton exchange membrane device mass transport

Emerging high-entropy strategy: A booster to the development of cathode materials for power batteries

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Journal of Advanced Ceramics 2024年第8期13卷 1093-1118页

作者： Liping Huang Jinging Zhu J-Xuan Liu Houzheng Wu Guo-Jun zhang State Key Laboratory for Modification of Chemical Fibers and Polymer Materials Institute of Functional MaterialsCollege of Materials Science and EngineeringDonghua UniversityShanghai 201620China SIAMC Advanced Materials Cooperation Huzhou 313100China

The coordinated development of new energy vehicles and the energy storage industry has become essential for reducing carbon *** cathode material is the key material that determines the energy density and cost of a power battery,but currently developed and applied cathode materials cannot meet the requirements for high specific capacity,low cost,safety,and good ***-entropy materials(HEMs)are a new type of single-phase material composed of multiple principal elements in equimolar or near-equimolar *** interaction between multiple elements can play an important role in improving the comprehensive properties of the material,which is expected to solve the limitations of battery materials in practical ***,this review provides a comprehensive overview of the current development status and modification strategies of power batteries(lithium-ion batteries(LiBs)and sodium-ion batteries(SIBs)),proposes a high-entropy design strategy,and analyses the structure-activity relationship between the high-entropy effects and battery ***,future research topics related to high-entropy cathode materials,including computational guide design,specific synthesis methods,high-entropy electrochemistry,and high-throughput databases,are *** review aims to provide practical guidance for the development of high-entropy cathode materials for next-generation power batteries.

关键词： cathode materials lithium-ion battery(LIB) sodium-ion battery(SIB) high-entropy strategy

Epigenetics and environmental health

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Frontiers of Medicine 2024年第4期18卷 571-596页

作者： Min zhang Ting Hu Tianyu Ma Wei Huang Yan Wang Key Laboratory of Cancer and Microbiome State Key Laboratory of Molecular OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100021China Beijing Key Laboratory of Cancer Invasion and Metastasis Research Department of Biochemistry and Molecular BiologySchool of Basic Medical SciencesCapital Medical UniversityBeijing100069China

Epigenetic modifications including DNA methylation,histone modifications,chromatin remodeling,and RNA modifications complicate gene regulation and heredity and profoundly impact various physiological and pathological *** recent years,accumulating evidence indicates that epigenetics is vulnerable to environmental changes and regulates the growth,development,and diseases of individuals by affecting chromatin activity and regulating gene *** exposure or induced epigenetic changes can regulate the state of development and lead to developmental disorders,aging,cardiovascular disease,Alzheimer's disease,cancers,and so ***,epigenetic modifications are *** use of specific epigenetic inhibitors targeting epigenetic changes in response to environmental exposure is useful in disease ***,we provide an overview of the role of epigenetics in various ***,we summarize the mechanism of epigenetic alterations induced by different environmental exposures,the influence of different environmental exposures,and the crosstalk between environmental variation epigenetics,and genes that are implicated in the body's ***,the interaction of multiple factors and epigenetics in regulating the initiation and progression of various diseases complicates clinical *** discuss some commonly used epigenetic drugs targeting epigenetic modifications and methods to prevent or relieve various diseases regulated by environmental exposure and epigenetics through diet.

关键词： epigenetics environmental exposure health prevention and therapy

3D hand pose and shape estimation from monocular RGB via efficient 2D cues

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Computational Visual Media 2024年第1期10卷 79-96页

作者： Fenghao zhang Lin Zhao Shengling Li Wanjuan Su Liman Liu Wenbing Tao Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis&Treatment School of Biomedical EngineeringSouth Central Minzu UniversityWuhan430074China National Key Laboratory of Science and Technology of Multi-spectral Information Processing School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan430074China

Estimating 3D hand shape from a single-view RGB image is important for many ***,the diversity of hand shapes and postures,depth ambiguity,and occlusion may result in pose errors and noisy hand *** full use of 2D cues such as 2D pose can effectively improve the quality of 3D human hand shape *** this paper,we use 2D joint heatmaps to obtain spatial details for robust pose *** also introduce a depth-independent 2D mesh to avoid depth ambiguity in mesh regression for efficient hand-image *** method has four cascaded stages:2D cue extraction,pose feature encoding,initial reconstruction,and reconstruction ***,we first encode the image to determine semantic features during 2D cue extraction;this is also used to predict hand joints and for ***,during the pose feature encoding stage,we use a hand joints encoder to learn spatial information from the joint ***,a coarse 3D hand mesh and 2D mesh are obtained in the initial reconstruction step;a mesh squeeze-and-excitation block is used to fuse different hand features to enhance perception of 3D hand ***,a global mesh refinement stage learns non-local relations between vertices of the hand mesh from the predicted 2D mesh,to predict an offset hand mesh to fine-tune the reconstruction *** and qualitative results on the FreiHAND benchmark dataset demonstrate that our approach achieves state-of-the-art performance.

关键词： hand 3D reconstruction deep learning image features 3D mesh