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An improved deep dilated convolutional neural network for seismic facies interpretation

Petroleum Science 2024年第3期21卷 1569-1583页

作者： Na-Xia yang Guo-Fa Li Ting-hui Li Dong-Feng Zhao Wei-Wei Gu State Key Laboratory of Petroleum Resources and Engineering CNPC Key Lab of Geophysical ExplorationChina University of Petroleum(Beijing)Beijing 102249China Dagang Branch Research InstituteBGPTianjin300280China

With the successful application and breakthrough of deep learning technology in image segmentation,there has been continuous development in the field of seismic facies interpretation using convolutional neural *** intelligent and automated methods significantly reduce manual labor,particularly in the laborious task of manually labeling seismic ***,the extensive demand for training data imposes limitations on their wider *** overcome this challenge,we adopt the UNet architecture as the foundational network structure for seismic facies classification,which has demonstrated effective segmentation results even with small-sample training ***,we integrate spatial pyramid pooling and dilated convolution modules into the network architecture to enhance the perception of spatial information across a broader *** seismic facies classification test on the public data from the F3 block verifies the superior performance of our proposed improved network structure in delineating seismic facies *** analysis against the traditional UNet model reveals that our method achieves more accurate predictive classification results,as evidenced by various evaluation metrics for image ***,the classification accuracy reaches an impressive 96%.Furthermore,the results of seismic facies classification in the seismic slice dimension provide further confirmation of the superior performance of our proposed method,which accurately defines the range of different seismic *** approach holds significant potential for analyzing geological patterns and extracting valuable depositional information.

关键词： Seismic facies interpretation Dilated convolution Spatial pyramid pooling Internal feature maps Compound loss function

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Cooperative composites anchored with single atom Pb and carbon confined PbO nanoparticles for superior lead-carbon batteries

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Journal of Energy Chemistry 2024年第10期97卷 486-497页

作者： Puqiang He Yi yang hui Huang Jing Huang Hongbiao Wang Yapeng He Zhongcheng Guo Faculty of Metallurgical and Energy Engineering Kunming University of Science and Technology Metallurgical Electrode Material Engineering Technology Research Center of Yunnan Province Kunming Hendera Technology Co.LTD.

The mitigation of sulphation and parasitic hydrogen evolution is considered as prominent research emphasis for the development of lead-carbon batteries（LCBs） in large-scale energy storage ***,cooperative Pb-C composites consisting of single atom Pb and carbon-encapsulated PbO nanoparticles were prepared by freeze-drying technique and pyrolytic reduction to address above *** innovative use of Pb2+to cross-link sodium alginate enabled a uniform distribution of Pb in the composites,generating Pb-C-PbO three-phase *** analysis and theoretical calculations revealed the synergistic interactions between single-atom Pb and PbO nanoparticles in suppressing parasitic hydrogen evolution and promoting the adsorption of Pb *** presence of monatomic Pb and PbO enhanced the affinity of the composites for the negative active materials and facilitated the transformation of the active materials from bulk into spherical shapes to enhance the specific surface area,thereby counteracting *** the coordinated integration of various functionalities offered by Pb@C-x,the cycle life of the battery at HRPSoC reaches 7025 cycles,which is two times for LCB with pure carbon ***,the discharge capacity increased from 3.52 to 3.79 *** study provides substantial insights into the construction of Pb-C composites for LCBs to inhibit negative sulphation and hydrogen evolution.

关键词： Hydrogen evolution Lead carbon composites Lead-carbon battery Negative sulphation Single-atom

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Small but mighty:Empowering sodium/potassium-ion battery performance with S-doped SnO_(2) quantum dots embedded in N,S codoped carbon fiber network

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Carbon Energy 2024年第5期6卷 186-200页

作者： Shengnan He hui Wu Shuang Li Ke Liu Yaxiong yang Hongge Pan Xuebin Yu Institute of Science and Technology for New Energy Xi'an Technological UniversityXi'anChina Department of Materials Science Fudan UniversityShanghaiChina Wanxiang A123 Systems Corporation HangzhouChina School of Material Science and Engineering Shanghai UniversityShanghaiChina

SnO_(2) has been extensively investigated as an anode material for sodium-ion batteries(SIBs)and potassium-ion batteries(PIBs)due to its high Na/K storage capacity,high abundance,and low ***,the sluggish reaction kinetics,low electronic conductivity,and large volume changes during charge and discharge hinder the practical applications of SnO_(2)-based electrodes for SIBs and *** rational structures with fast charge/ion transfer and robust stability is important to overcoming these ***,S-doped SnO_(2)(S-SnO_(2))quantum dots(QDs)(≈3 nm)encapsulated in an N,S codoped carbon fiber networks(S-SnO_(2)-CFN)are rationally fabricated using a sequential freeze-drying,calcination,and S-doping *** analysis and density functional theory calculations reveal that the integration of S-SnO_(2) QDs with N,S codoped carbon fiber network remarkably decreases the adsorption energies of Na/K atoms in the interlayer of SnO_(2)-CFN,and the S doping can increase the conductivity of SnO_(2),thereby enhancing the ion transfer *** synergistic interaction between S-SnO_(2) QDs and N,S codoped carbon fiber network results in a composite with fast Na+/K+storage and extraordinary long-term ***,the S-SnO_(2)-CFN delivers high rate capacities of 141.0 mAh g^(−1) at 20 A g^(−1) in SIBs and 102.8 mAh g^(−1) at 10 A g^(−1) in ***,it delivers ultra-stable sodium storage up to 10,000 cycles at 5 A g^(−1) and potassium storage up to 5000 cycles at 2 A g^(−1).This study provides insights into constructing metal oxide-based carbon fiber network structures for high-performance electrochemical energy storage and conversion devices.

关键词： carbon fiber network heteroatom doping potassium-ion battery sodium-ion battery S-SnO_(2)quantum dot

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Lath-like phases formed at an extremely high temperature in a Mg-RE(RE=rare earth)-Al alloy

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Rare Metals 2024年第8期43卷 3937-3945页

作者： Bo Deng Shu-hui Lv Qiang yang Dong-Yue Zhao Jun-Yuan Fan Xin Qiu School of Materials Science and Engineering Changchun University of Science and TechnologyChangchun 130022China State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China Chongqing Research Institute Changchun University of Science and TechnologyChongqing 401135China

Thermal stable intermetallic particles are important for the heat resistance of magnesium(Mg)*** this work,many lath-like particles formed in α-Mg grains of a Mg-8Gd-3Sm-0.7Al casting alloy when heat-treated at 873 ***-resolution high-angle annular dark field scanning transmission electron microscopy(HAADF-STEM) characterizations indicate that most of them are Mg-containing Al_(2)(Gd,Sm),with the atomic ratio of Mg:Al:(Gd,Sm) being ~1:1:1;a small part of them with relatively wider thickness are long-period stacking ordered(LPSO) phases simultaneously containing both 14H and 18R *** followed common orientation relationships with Mg matrix as those reported in previous *** addition,many Mg laths were observed in the primary blocky Al_(2)(Gd,Sm) phase at grain boundaries,where the atomic ratio of Al:(Gd,Sm) in the Al_(2)(Gd,Sm) matrix was 2:***,density functional theory(DFT) calculations illustrated the detail structure of the re-constructed Mg/Al_(2)RE interface and simultaneously deduced the underlying reason for the re-dissolution of the newly formed Mg-containing Al_(2)(Gd,Sm) plates in α-Mg matrix.

关键词： Magnesium alloy HAADF-STEM Microstructures Intermetallic particles Orientation relationships Interfaces

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A review of ultra-high temperature heat-resistant energetic materials

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Defence Technology（防务技术） 2024年第8期38卷 33-57页

作者： Rongzheng Zhang Yuangang Xu Feng yang Pengcheng Wang Qiuhan Lin hui Huang Ming Lu School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing 210094China Institute of Chemical Materials China Academy of Engineering PhysicsMianyang 621900China

Heat-resistant energetic materials refer to a type of energetic materials that possess a high melting point,high stability and operational safety. By studying the structures of these energetic materials has showed that the thermal stability can be enhanced by introducing amino groups to form intra/inter-molecular hydrogen bonds, constructing conjugate systems and designing symmetrical structures. This article aims to review the physical and chemical properties of ultra-high temperature heat-resistant energetic compounds and provide valuable theoretical insights for the preparation of ultra-high temperature heatresistant energetic materials. We also analyze the selected 20 heat-resistant energetic materials with decomposition temperatures higher than 350℃, serving as templates for the synthesis of various highperformance heat-resistant energetic materials.

关键词： Heat-resistant energetic materials Organic synthesis Conjugated Hydrogen bond Symmetrical structure Stabilization

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A survey on model-based reinforcement learning

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Science China(Information Sciences) 2024年第2期67卷 59-84页

作者： Fan-Ming LUO Tian XU Hang LAI Xiong-hui CHEN Weinan ZHANG yang YU National Key Laboratory for Novel Software Technology Nanjing University Polixir. ai Department of Computer Science and Engineering Shanghai Jiao Tong University

Reinforcement learning(RL) interacts with the environment to solve sequential decision-making problems via a trial-and-error approach. Errors are always undesirable in real-world applications, even though RL excels at playing complex video games that permit several trial-and-error attempts. To improve sample efficiency and thus reduce errors, model-based reinforcement learning(MBRL) is believed to be a promising direction, as it constructs environment models in which trial-and-errors can occur without incurring actual costs. In this survey, we investigate MBRL with a particular focus on the recent advancements in deep RL. There is a generalization error between the learned model of a non-tabular environment and the actual environment. Consequently, it is crucial to analyze the disparity between policy training in the environment model and that in the actual environment, guiding algorithm design for improved model learning, model utilization, and policy training. In addition, we discuss the recent developments of model-based techniques in other forms of RL, such as offline RL, goal-conditioned RL, multi-agent RL, and meta-RL. Furthermore,we discuss the applicability and benefits of MBRL for real-world tasks. Finally, this survey concludes with a discussion of the promising future development prospects for MBRL. We believe that MBRL has great unrealized potential and benefits in real-world applications, and we hope this survey will encourage additional research on MBRL.

关键词： reinforcement learning model-based reinforcement learning planning model learning model learning with reduced error model usage

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Privacy-Preserving Healthcare and Medical Data Collaboration Service System Based on Blockchain and Federated Learning

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Computers, Materials & Continua 2024年第8期80卷 2897-2915页

作者： Fang Hu Siyi Qiu Xiaolian yang ChaoleiWu Miguel Baptista Nunes hui Chen College of Information Engineering Hubei University of Chinese MedicineWuhan430065China College of Information Engineering Zhongnan University of Economics and LawWuhan430073China School of Advanced Technologies Xi’an Jiaotong-Liverpool UniversitySuzhou215400China School of Information Management Central China Normal UniversityWuhan430079China

As the volume of healthcare and medical data increases from diverse sources,real-world scenarios involving data sharing and collaboration have certain challenges,including the risk of privacy leakage,difficulty in data fusion,low reliability of data storage,low effectiveness of data sharing,*** guarantee the service quality of data collaboration,this paper presents a privacy-preserving Healthcare and Medical Data Collaboration Service System combining Blockchain with Federated Learning,termed *** system is composed of three layers:Data extraction and storage,data management,and data *** on healthcare and medical data,a healthcare and medical blockchain is constructed to realize data storage,transfer,processing,and access with security,real-time,reliability,and *** improved master node selection consensus mechanism is presented to detect and prevent dishonest behavior,ensuring the overall reliability and trustworthiness of the collaborative model training ***,healthcare and medical data collaboration services in real-world scenarios have been discussed and *** further validate the performance of FL-HMChain,a Convolutional Neural Network-based Federated Learning(FL-CNN-HMChain)model is investigated for medical image *** model achieves better performance compared to the baseline Convolutional Neural Network(CNN),having an average improvement of 4.7%on Area Under Curve(AUC)and 7%on Accuracy(ACC),***,the probability of privacy leakage can be effectively reduced by the blockchain-based parameter transfer mechanism in federated learning between local and global models.

关键词： Blockchain technique federated learning healthcare and medical data collaboration service privacy preservation

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Targeting ferroptosis and ferritinophagy:new targets for cardiovascular diseases

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第1期25卷 1-22页

作者： Yi LUAN yang yang Ying LUAN hui LIU Han XING Jinyan PEI Hengdao LIU Bo QIN Kaidi REN Clinical Systems Biology Research Laboratories Translational Medicine Centerthe First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China State Key Laboratory for Artificial Microstructures and Mesoscopic Physics School of PhysicsPeking UniversityBeijing100871China School of Laboratory Medicine Xinxiang Medical UniversityXinxiang453003China Quality Management Department Henan No.3 Provincial People’s HospitalZhengzhou450052China Department of Cardiology the First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China Center for Translational Medicine the First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China Department of Pharmacy the First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China Henan Key Laboratory of Precision Clinical Pharmacy Zhengzhou UniversityZhengzhou450052China Henan Engineering Research Center for Application&Translation of Precision Clinical Pharmacy Zhengzhou UniversityZhengzhou450052China

Cardiovascular diseases(CVDs)are a leading factor driving mortality ***,an essential trace mineral,is important in numerous biological processes,and its role in CVDs has raised broad discussion for ***-mediated cell death,namely ferroptosis,has attracted much attention due to its critical role in cardiomyocyte damage and ***,ferritinophagy is the upstream mechanism that induces ferroptosis,and is closely related to *** review aims to delineate the processes and mechanisms of ferroptosis and ferritinophagy,and the regulatory pathways and molecular targets involved in ferritinophagy,and to determine their roles in ***,we discuss the possibility of targeting ferritinophagy-induced ferroptosis modulators for treating ***,this review offers some new insights into the pathology of CVDs and identifies possible therapeutic targets.

关键词： Cardiovascular disease Iron Ferroptosis Ferritinophagy Therapeutic target

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Effect of early stepwise cardiopulmonary rehabilitation on function and quality of life in sepsis patients

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World Journal of Clinical Cases 2024年第4期12卷 729-736页

作者： Ming-hui Zheng Wen-Jun Liu Juan yang Division of Cardiovascular First Ward Departments of Internal Medicine Liyuan HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430077Hubei ProvinceChina Department of Respiratory Medicine PuRen Hospital Affiliated to Wuhan University of Science and Technology/Respiratory MedicineWuhan 430000Hubei ProvinceChina Department of Cardiology Huanggang Central HospitalHuanggang 438000Hubei ProvinceChina

BACKGROUND Sepsis,as a non-limiting host infection disease,can be accompanied by serious complications such as organ failure,which seriously threatens patient quality of *** To investigate the effect of early stepwise cardiopulmonary rehabilitation on cardiopulmonary function and quality of life in patients evacuated from mechanical ventilation with *** A total of 80 patients with sepsis who were hospitalized in our hospital from January 2021 to January 2022 were selected and divided into the observation group(n=40)and the control group(n=40)according to the random number table *** observation group was treated with early stepwise cardiopulmonary rehabilitation,and the control group was treated with a conventional treatment *** function indexes(central venous pressure,cardiac troponin I,B-type brain natriuretic peptide),lung function indicators(diaphragmatic mobility,changes in central venous oxygen saturation,oxygenation index),and quality of life(Quality of Life Evaluation Scale)were compared between the two groups after *** After treatment,the central venous pressure,diaphragm mobility,central venous oxygen saturation,oxygenation index,and Quality of Life Evaluation Scale scores in the observation group were higher than those in the control group,and the differences were statistically significant(P<0.05).The observation group was less than that of the control group for other parameters,and the differences were statistically significant(P<0.05).CONCLUSION Early stepwise cardiopulmonary rehabilitation can effectively enhance cardiac and pulmonary function and improve the quality of life in patients evacuated from mechanical ventilation with sepsis.

关键词： Stepwise cardiopulmonary rehabilitation Sepsis Evacuation of mechanical ventilation Cardiopulmonary function Quality of life

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Change in self-image pressure level before and after autologous fat breast augmentation and its effect on social adaptability

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World Journal of Psychiatry 2024年第6期14卷 920-929页

作者： Jian Li hui-Min Wang yang Jiang Zhen-Nan Liu Bai-hui He Department of Plastic Surgery The First Affiliated Hospital of Xinxiang Medical UniversityXinxiang 453100Henan ProvinceChina Department of Otolaryngology The First Affiliated Hospital of Xinxiang Medical UniversityXinxiang 453100Henan ProvinceChina

BACKGROUND There is an increasingly strong demand for appearance and physical beauty in social life,marriage,and other aspects with the development of society and the improvement of material living *** increasing number of people have improved their appearance and physical shape through aesthetic plastic *** female breast plays a significant role in physical beauty,and droopy or atrophied breasts can frequently lead to psychological inferiority and lack of confidence in ***,in turn,can affect their mental health and quality of *** To analyze preoperative and postoperative self-image pressure-level changes of autologous fat breast augmentation patients and their impact on social *** We selected 160 patients who underwent autologous fat breast augmentation at the First Affiliated Hospital of Xinxiang Medical University from January 2020 to December 2022 using random sampling *** general information,selfimage pressure level,and social adaptability of the patients were investigated using a basic information survey,body image self-assessment scale,and social adaptability *** self-image pressure-level changes and their effects on the social adaptability of patients before and after autologous fat breast augmentation were *** We collected 142 valid *** single-factor analysis results showed no statistically significant difference in the self-image pressure level and social adaptability score of patients with different ages,marital status,and monthly ***,there were significant differences in social adaptability among patients with different education levels and employment *** correlation analysis results revealed a significant correlation between the self-image pressure level and social adaptability score before and after *** factors analysis results showed that the degree of concern caused by appearance in selfimage pressure,the degree of possible behavior

关键词： Autologous fat breast augmentation surgery Self-image stress level Social adaptability Analysis of correlation Structural equation model

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