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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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Atomic-resolution Interfacial Microstructure and Thermo-electro-magnetic Energy Conversion Performance of Gd/Bi0.5Sb1.5Te3 Composites

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Energy & Environmental Materials 2024年第4期7卷 355-363页

作者： Chengshan Liu Wenjie Xu Ping wei Shaoqiu Ke Wenjun Cui Longzhou Li dong liang Xianfeng Ye Tiantian Chen Xiaolei Nie Wanting Zhu Wenyu Zhao Qingjie Zhang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory

Thermo-electro-magnetic materials with simultaneously large magnetocaloric(MC) and thermoelectric (TE) effects are the core part for designing TE/MC all-solid-state cooling *** MC phase with TE material is an effective ***,the elemental diffusion and chemical reaction occurring at the two-phase interfaces could significantly impair the cooling performance.

关键词： interfacial reaction magnetocaloric performance thermoelectric performance thermo-electro-magnetic materials

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Treatment Options for Hepatocellular Carcinoma Using Immunotherapy: Present and Future

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Journal of Clinical and Translational Hepatology 2024年第4期12卷 389-405页

作者： Hongbin wei Chunlu dong Xun Li The First School of Clinical Medicine Lanzhou UniversityLanzhouGansuChina The First Hospital of Lanzhou University LanzhouGansuChina Key Laboratory Biotherapy and Regenerative Medicine of Gansu Province LanzhouGansuChina Cancer Prevention and Treatment Center of Lanzhou University School of Medicine LanzhouGansuChina Hepatopancreatobiliary Surgery Institute of Gansu Province LanzhouGansuChina Clinical Research Center for General Surgery of Gansu Province LanzhouGansuChina

Hepatocellular carcinoma(HCC)is a common cancer,and the body’s immune responses greatly affect its progression and the prognosis of *** suppression and the maintenance of self-tolerance in the tumor microenvironment are essential responses,and these form part of the theoretical foundations of *** this review,we first discuss the tumor microenvironment of HCC,describe immunosuppression in HCC,and review the major biomarkers used to track HCC progression and response to *** then examine antibody-based therapies,with a focus on immune checkpoint inhibitors(ICIs),monoclonal antibodies that target key proteins in the immune response(programmed cell death protein 1,anti-cytotoxic T-lymphocyte associated protein 4,and programmed deathligand 1)which have transformed the treatment of HCC and other *** may be used alone or in conjunction with various targeted therapies for patients with advanced HCC who are receiving first-line treatments or subsequent *** also discuss the use of different cellular immunotherapies,including T cell receptor(TCR)T cell therapy and chimeric antigen receptor(CAR)T cell *** then review the use of HCC vaccines,adjuvant immunotherapy,and oncolytic virotherapy,and describe the goals of future research in the development of treatments for HCC.

关键词： Hepatocellular carcinoma Liver cancer Immunotherapy Vaccines

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Predicting Bioaccumulation of Nanomaterials:Modeling Approaches with Challenges

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Environment & Health 2024年第4期2卷 189-201页

作者： Hang Zeng Zhuoyan Lv Xiaoyan Sun Yang Tong wei Wu Shipeng dong liang Mao State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentChemistry and Biomedicine Innovation CenterNanjing UniversityNanjing 210023China Nanjing Qixia District Hospital Nanjing 210023China High Tech Research and Development Center Ministry of Science and TechnologyBeijing 100044China

Understanding the bioaccumulation of nanomaterials(NMs)by organisms is essential in evaluating their potential ***,the experimental determination of bioaccumulation is substantially challenging,which spawned the development of prediction approaches via establishing models for various *** modeling approaches,such as the biotic ligand model(BLM),partition coefficients,accumulation factor models,and quantitative structure−activity relationship(QSAR)models,were initially used in the application of NMs,aiming to provide a reliable quantitative dose in a resource-saving *** methods,which are based on the uptake patterns of substances,probably lead to deviated results due to the different uptake behaviors of *** this study,currently developed models to evaluate the bioaccumulation of NMs are critically reviewed,with their feasibilities and limitations being *** addition,the recently developed machine learning amended models have taken great efforts in realizing biological behaviors of NMs in organisms by providing in silico *** this data-driven approach has limitations in mechanism exploration,it may give different insights into the bioaccumulation model establishment and critical feature identification.

关键词： Modeling Forecast Bioaccumulation Nanomaterials Machine learning

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Quantitatively Evaluating the Erosion and Preservation of Supergene Oxide Zones:Evidence from the Yulong Porphyry Cu Deposit,Eastern Tibetan Plateau

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Journal of Earth Science 2024年第1期35卷 280-282页

作者： Xiao-dong Deng Jian-wei Li State Key Laboratory of Geological Processes and Mineral Resources and School of Earth ResourcesChina University of GeosciencesWuhan 430074China

*** and erosion of sulfide ore deposits are important for understanding the post-mineralization processes that have significant effects on the preservation of primary orebodies(Velasco et al.,2013;Braxton et al.,2009;Brimhall et al.,1985).Supergene oxide zones are often developed in sulfide ore deposits,and are mainly composed of iron oxides and hydroxides zones in weathering profile(Andrew,1984;Thornber et al.,1981).

关键词： Eastern Tibetan weathering

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Analysis and Modeling of Time Output Characteristics for Distributed Photovoltaic and Energy Storage

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Energy Engineering 2024年第4期121卷 933-949页

作者： Kaicheng Liu Chen liang Xiaoyang dong Liping Liu China Electric Power Research Institute Beijing100192China Electric Power Research Institute State Grid Gansu Electric Power CompanyLanzhou730000China State Key Laboratory of Power Grid Safety Beijing100084China

Due to the unpredictable output characteristics of distributed photovoltaics,their integration into the grid can lead to voltage fluctuations within the regional power ***,the development of spatial-temporal coordination and optimization control methods for distributed photovoltaics and energy storage systems is of utmost importance in various *** paper approaches the issue from the perspective of spatiotemporal forecasting of distributed photovoltaic(PV)generation and proposes a Temporal Convolutional-Long Short-Term Memory prediction model that combines Temporal Convolutional Networks(TCN)and Long Short-Term Memory(LSTM).To begin with,an analysis of the spatiotemporal distribution patterns of PV generation is conducted,and outlier data is handled using the 3σ ***,a novel approach that combines temporal convolution and LSTM networks is introduced,with TCN extracting spatial features and LSTM capturing temporal ***,a real spatiotemporal dataset from Gansu,China,is established to compare the performance of the proposed network against other *** results demonstrate that the model presented in this paper exhibits the highest predictive accuracy,with a single-step Mean Absolute Error(MAE)of 1.782 and an average Root Mean Square Error(RMSE)of 3.72 for multi-step predictions.

关键词： Photovoltaic power generation spatio-temporal prediction temporal convolutional network long short-term memory network

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Recent advancement of sonogenetics:A promising noninvasive cellular manipulation by ultrasound

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Genes & Diseases 2024年第5期11卷 163-182页

作者： Jin Tang Mingxuan Feng dong Wang liang Zhang Ke Yang Pediatric Research Institute Children’s Hospital of Chongqing Medical UniversityNational Clinical Research Center for Child Health and DisordersMinistry of Education Key Laboratory of Child Development and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChongqing Engineering Research Center of Stem Cell TherapyChongqing 400014China Department of Ultrasound The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China Tongji Medical College Huazhong University of Science and TechnologyWuhanHubei 430074China

Recent advancements in biomedical research have underscored the importance of noninvasive cellular manipulation ***,a method that uses genetic engineering to produce ultrasound-sensitive proteins in target cells,is gaining prominence along with optogenetics,electrogenetics,and *** stimulation with ultrasound,these proteins trigger a cascade of cellular activities and *** traditional ultrasound modalities,sonogenetics offers enhanced spatial selectivity,improving precision and safety in disease *** technology broadens the scope of non-surgical interventions across a wide range of clinical research and therapeutic applications,including neuromodulation,oncologic treatments,stem cell therapy,and *** current literature predominantly emphasizes ultrasonic neuromodulation,this review offers a comprehensive exploration of *** discuss ultrasound properties,the specific ultrasound-sensitive proteins employed in sonogenetics,and the technique’s potential in managing conditions such as neurological disorders,cancer,and ophthalmic diseases,and in stem cell *** objective is to stimulate fresh perspectives for further research in this promising field.

关键词： Mechanosensitive channel Neuromodulation Sonogenetics Ultrasound Ultrasound-sensitive protein

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Multiple-stage spatial-temporal cooperative guidance without time-to-go estimation

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Chinese Journal of Aeronautics 2024年第9期37卷 399-416页

作者： Chunyan WANG weilin WANG wei dong Jianan WANG Fang DENG School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China National Key Lab of Autonomous Intelligent Unmanned Systems Beiing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China

This paper investigates the spatial-temporal cooperative guidance problem for multiple flight vehicles without relying on time-to-go ***,a two-stage cooperative guidance strategy,namely the cooperative guidance and the Proportional Navigation Guidance(PNG)stage strategy,is developed to realize the spatial-temporal constraints in two *** the former stage,two controllers are designed and superimposed to satisfy both impact time consensus and impact angle *** the convergent conditions are satisfied,the flight vehicles will switch to the PNG stage to ensure zero miss *** further extend the results to three dimensions,a planar pursuit guidance stage is additionally imposed at the beginning of *** to the inde-pendence of time-to-go estimation,the proposed guidance strategy possesses great performance in satisfying complex spatial-temporal constraints even under flight speed ***,several numerical simulations are implemented to verify the effectiveness and advantages of the proposed results under different scenarios.

关键词： Cooperative guidance Guided missiles Impact time consensus Impact angle constraint Spatial-temporal cooperative guidance

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Group-wise co-salient object detection via multi-view self-labeling novel class discovery

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Frontiers of Computer Science 2024年第2期18卷 259-261页

作者： Yang WU Gang dong Lingyan liang Yaqian ZHAO Kaihua ZHANG Inspur Electronic Information Industry Co. Ltd.Beijing 100080China Jiangsu Key Laboratory of Big Data Analysis Technology and Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing 210044China

1 Introduction Co-salient object detection(CoSOD)aims to extract the salient object(s)that are common across a group of relevant images[1].Group-wise clue plays a crucial role in accurately predicting the co-salient ***,numerous groupwise deep models have been proposed by exploring consistency across images in unsupervised clustering manners[2-4]or the semantic connections guidance information[5].

关键词： consistency Group semantic

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Imitation Learning Based Real-time Decision-making of Microgrid Economic Dispatch Under Multiple Uncertainties

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1183-1193页

作者： wei dong Fan Zhang Meng Li Xiaolun Fang Qiang Yang School of Automation Hangzhou Dianzi UniversityHangzhou 310018China College of Electrical Engineering Zhejiang UniversityHangzhou 310027China

The intermittency of renewable energy generation,variability of load demand,and stochasticity of market price bring about direct challenges to optimal energy management of *** cope with these different forms of operation un-certainties,an imitation learning based real-time decision-mak-ing solution for microgrid economic dispatch is *** this solution,the optimal dispatch trajectories obtained by solv-ing the optimal problem using historical deterministic operation patterns are demonstrated as the expert samples for imitation *** improve the generalization performance of imita-tion learning and the expressive ability of uncertain variables,a hybrid model combining the unsupervised and supervised learn-ing is *** denoising autoencoder based unsupervised learning model is adopted to enhance the feature extraction of operation ***,the long short-term memory network based supervised learning model is used to efficiently characterize the mapping between the input space composed of the extracted operation patterns and system state variables and the output space composed of the optimal dispatch *** numerical simulation results demonstrate that under vari-ous operation uncertainties,the operation cost achieved by the proposed solution is close to the minimum theoretical *** with the traditional model predictive control method and basic clone imitation learning method,the operation cost of the proposed solution is reduced by 6.3%and 2.8%,respective-ly,overa test period of three months.

关键词： Energy management imitation learning datadriven decision economic dispatch

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