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A Spectral Convolutional Neural Network Model Based on Adaptive Fick’s Law for Hyperspectral Image Classification

Computers, Materials & Continua 2024年第4期79卷 19-46页

作者： Tsu-Yang wu Haonan Li Saru Kumari Chien-ming Chen School of Artificial Intelligence(School of Future Technology) Nanjing University of Information Science&TechnologyNanjing210044China College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Mathematics Chaudhary Charan Singh UniversityMeerutUttar Pradesh250004India

Hyperspectral image classification stands as a pivotal task within the field of remote sensing,yet achieving highprecision classification remains a significant *** response to this challenge,a Spectral Convolutional Neural Network model based on Adaptive Fick’s Law Algorithm(AFLA-SCNN)is *** Adaptive Fick’s Law Algorithm(AFLA)constitutes a novel metaheuristic algorithm introduced herein,encompassing three new strategies:Adaptive weight factor,Gaussian mutation,and probability update *** adaptive weight factor,the algorithmcan adjust theweights according to the change in the number of iterations to improve the performance of the *** helps the algorithm avoid falling into local optimal solutions and improves the searchability of the *** probability update strategy helps to improve the exploitability and adaptability of the *** the AFLA-SCNN model,AFLA is employed to optimize two hyperparameters in the SCNN model,namely,“numEpochs”and“miniBatchSize”,to attain their optimal ***’s performance is initially validated across 28 functions in 10D,30D,and 50D for CEC2013 and 29 functions in 10D,30D,and 50D for *** results indicate AFLA’s marked performance superiority over nine other prominent optimization ***,the AFLA-SCNN model was compared with the Spectral Convolutional Neural Network model based on Fick’s Law Algorithm(FLA-SCNN),Spectral Convolutional Neural Network model based on Harris Hawks Optimization(HHO-SCNN),Spectral Convolutional Neural Network model based onDifferential Evolution(DE-SCNN),SpectralConvolutionalNeuralNetwork(SCNN)model,and SupportVector Machines(SVM)model using the Indian Pines dataset and PaviaUniversity *** experimental results show that the AFLA-SCNN model outperforms other models in terms of Accuracy,Precision,Recall,and F1-score on Indian Pines and Pavia *** them,the Accuracy of the AFLA-SCNN model on India

关键词： Adaptive Fick’s law algorithm spectral convolutional neural network metaheuristic algorithm intelligent optimization algorithm hyperspectral image classification

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UAMP-Based Delay-Doppler Channel Estimation for OTFS Systems

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China Communications 2024年第10期 1-15页

作者： Li Zhongjie yuan Weijie Guo Qinghua wu Nan Zhang Ji Department of Electronic and Electrical Engineering Southern University of Science and Techonology School of Electrical Computer and Telecommunications Engineering University of Wollongong School of Integrated Circuits and Electronics Beijing Institute of Technology School of Mathematics and Statistics Henan University of Science and Technology

Orthogonal time frequency space(OTFS)technique, which modulates data symbols in the delayDoppler(DD) domain, presents a potential solution for supporting reliable information transmission in highmobility vehicular networks. In this paper, we study the issues of DD channel estimation for OTFS in the presence of fractional Doppler. We first propose a channel estimation algorithm with both low complexity and high accuracy based on the unitary approximate message passing(UAMP), which exploits the structured sparsity of the effective DD domain channel using hidden Markov model(HMM). The empirical state evolution(SE) analysis is then leveraged to predict the performance of our proposed algorithm. To refine the hyperparameters in the proposed algorithm,we derive the update criterion for the hyperparameters through the expectation-maximization(EM) algorithm. Finally, Our simulation results demonstrate that our proposed algorithm can achieve a significant gain over various baseline schemes.

关键词： channel estimation hidden Markov model (HMM) orthogonal time frequency space (OTFS) unitary approximate message passing (UAMP)

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Research progress and challenges in stem cell therapy for diabetic foot: Bibliometric analysis and perspectives

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World Journal of Stem Cells 2024年第1期16卷 33-53页

作者： Hong-Shuo Shi Xin yuan Fang-Fang wu Xiao-Yu Li Wei-Jing Fan Xiao Yang Xiao-ming Hu Guo-Bin Liu Department of Peripheral Vascular Surgery Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 250021China

BACKGROUND Stem cell therapy has shown great potential for treating diabetic foot(DF).AIM To conduct a bibliometric analysis of studies on the use of stem cell therapy for DF over the past two decades,with the aim of depicting the current global research landscape,identifying the most influential research hotspots,and providing insights for future research *** We searched the Web of Science Core Collection database for all relevant studies on the use of stem cell therapy in *** analysis was carried out using CiteSpace,VOSviewer,and R(4.3.1)to identify the most notable *** A search was conducted to identify publications related to the use of stem cells for DF treatment.A total of 542 articles published from 2000 to 2023 were *** United States had published the most papers on this *** this field,Iran’s Shahid Beheshti University Medical Sciences demonstrated the highest ***,*** from the same university has been an outstanding researcher in this *** Cell Research&Therapy is the journal with the highest number of publications in this *** main keywords were“diabetic foot ulcers,”“wound healing,”and“angiogenesis.”CONCLUSION This study systematically illustrated the advances in the use of stem cell therapy to treat DF over the past 23 *** research findings suggested that the hotspots in this field include stem cell dressings,exosomes,wound healing,and adipose-derived stem *** research should also focus on the clinical translation of stem cell therapies for DF.

关键词： Stem cells Diabetic foot Bibliometric CiteSpace VOSviewer R-bibliometrix

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DG Hosting Capacity Assessment Considering Dependence Among Wind Speed,Solar Radiation,and Load Demands

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1011-1025页

作者： Junyi Yang Jiangmin Bao Yuhan Hou Han wu Qiang Li Yue yuan Hohai University Nanjing 211100China State Grid Jiangsu Electric Power Co. Ltd.Suzhou Power Supply BranchSuzhou 215004China Nanjing Institute of Technology Nanjing 211167China Electric Power Research Institute of State Grid Jiangsu Electric Power Co.Ltd. Nanjing 211103China IEEE CSEE

Dependence of distributed generation(DG)outputs and load plays an essential role in renewable energy *** paper presents a novel DG hosting capacity(DGHC)evaluation method for distribution networks considering highdimensional dependence relations among solar radiation,wind speed,and various load types(i.e.,commercial,residential,and industrial).First,an advanced dependence modeling method called regular vine(R-vine)is applied to capture the complex dependence structure of solar radiation,wind speed,commercial loads,industrial loads,and residential ***,a chanceconstrained DGHC evaluation model is employed to figure out maximum hosting capacity of each DG and its optimal allocation plan with different operational ***,a Benders decomposition algorithm is also employed to reduce computational *** proposed approaches are validated using a set of historical data from *** show dependence among different DGs and loads has significant impact on hosting *** also suggest using the R-vine model to capture dependence among distributed energy resources(DERs)and *** finding provides useful advice for distribution networks in installing renewable energy generations.

关键词： Benders decomposition correlation DG hosting capacity regular vine

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Evaluation of Well Spacing for Primary Development of Fractured Horizontal Wells in Tight Sandstone Gas Reservoirs

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Fluid Dynamics & Materials Processing 2024年第5期20卷 1015-1030页

作者： Fang Li Juan wu Haiyong Yi Lihong wu Lingyun Du yuan Zeng Exploration and Development Research Institute PetroChina Southwest Oil&Gas Field CompanyChengdu610041China Oil and Gas Resources Department PetroChina Southwest Oil&Gas Field CompanyChengdu610000China

Methods for horizontal well spacing calculation in tight gas reservoirs are still adversely affected by the complexity of related control factors,such as strong reservoir heterogeneity and seepage *** this study,the stress sensitivity and threshold pressure gradient of various types of reservoirs are quantitatively evaluated through reservoir seepage *** the basis of these experiments,a numerical simulation model(based on the special seepage mechanism)and an inverse dynamic reserve algorithm(with different equivalent drainage areas)were *** well spacing ranges of Classes I,II,and III wells in the Q gas field are determined to be 802–1,000,600–662,and 285–400 m,respectively,with their average ranges as 901,631,and 342.5 m,*** considering both the pairs of parallel well groups and series well groups as examples,the reliability of the calculation results is *** is shown that the combination of the two models can reduce errors and provide accurate results.

关键词： Well spacing for primary development tight gas reservoir fractured horizontal well threshold pressure gradient stress sensitivity

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Beyond success: unveiling the hidden potential of radiotherapy and immunotherapy in solid tumors

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Cancer Communications 2024年第7期44卷 739-760页

作者： Yuze wu ming Yi Mengke Niu Binghan Zhou Qi Mei Kongming wu Department of Oncology Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiP.R.China Department of Breast Surgery Zhejiang University School of Medicine First Affiliated HospitalHangzhouZhejiangP.R.China Cancer Center Shanxi Bethune HospitalShanxi Academy of Medical ScienceTongji Shanxi HospitalThird Hospital of Shanxi Medical UniversityTaiyuanShanxiP.R.China Cancer Center Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiP.R.China

Immunotherapy,particularly with immune checkpoint inhibitors,has significantly transformed cancer *** its success,many patients struggle to respond adequately or sustain long-lasting clinical improvement.A growing consensus has emerged that radiotherapy(RT)enhances the response rate and overall efficacy of *** combining RT and immunotherapy has been extensively investigated in preclinical models and has shown promising results,establishing itself as a dynamic and thriving area of research,clinical evidence for this combination strategy over the past five years has shown both positive and disappointing results,suggesting the need for a more nuanced *** review provides a balanced and updated analysis of the combination of immunotherapy and *** summarized the preclinical mechanisms through which RT boosts antitumor immune responses andmainly focused on the outcomes of recently updated clinical trials,including those that may not have met *** investigated the optimization of the therapeutic potential of this combined strategy,including key challenges,such as fractionation and scheduling,lymph node irradiation,and ***,we offered insights into the prospects and challenges associated with the clinical translation of this combination therapy,providing a realistic perspective on the current state of research and potential future directions.

关键词： immunotherapy radiotherapy immune checkpoint inhibitor abscopal effect tumor microenvironment

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BMLP:behavior-aware MLP for heterogeneous sequential recommendation

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Frontiers of Computer Science 2024年第3期18卷 235-237页

作者： Weixin LI Yuhao wu Yang LIU Weike PAN Zhong ming College of Computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ) Shenzhen 518123China

1 Introduction Recommender systems can effectively alleviate the problem of information ***,traditional recommendation methods cannot capture users’dynamic *** recommendation methods model user sequences to obtain more accurate and dynamic user ***,deep learning-based sequential recommendation methods have achieved great *** is proposed to capture the sequential information[1,2].Attention-based methods[3]use attention mechanisms to learn relationships between ***-based methods[4−6]transform sequences into graph structures to capture relationships of ***,they have the following two limitations.

关键词： sequences behavior sequential

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From ancient wisdom to modern science:Gut microbiota sheds light on property theory of traditional Chinese medicine

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Journal of Integrative Medicine 2024年第4期22卷 413-444页

作者： Ya-nan Yang Jia-guo Zhan Ying Cao Chong-ming wu School of Chinese Materia Medica Tianjin University of Traditional Chinese MedicineTianjin 301617China Tianjin Key Laboratory of Therapeutic Substance of Traditional Chinese Medicine Tianjin 301617China

The property theory of traditional Chinese medicine(TCM) has been practiced for thousands of years,playing a pivotal role in the clinical application of TCM. While advancements in energy metabolism,chemical composition analysis, machine learning, ion current modeling, and supercritical fluid technology have provided valuable insight into how aspects of TCM property theory may be measured, these studies only capture specific aspects of TCM property theory in isolation, overlooking the holistic perspective inherent in TCM. To systematically investigate the modern interpretation of the TCM property theory from multidimensional perspectives, we consulted the Chinese Pharmacopoeia(2020 edition) to compile a list of Chinese materia medica(CMM). Then, using the Latin names of each CMM and gut microbiota as keywords, we searched the PubMed database for relevant research on gut microbiota and CMM. The regulatory patterns of different herbs on gut microbiota were then summarized from the perspectives of the four natures, the five flavors and the meridian tropism. In terms of the four natures, we found that warm-natured medicines promoted the colonization of specific beneficial bacteria,while cold-natured medicines boosted populations of some beneficial bacteria while suppressing pathogenic bacteria. Analysis of the five flavors revealed that sweet-flavored and bitter-flavored CMMs positively influenced beneficial bacteria while inhibiting harmful bacteria. CMMs with different meridian tropism exhibited complex modulative patterns on gut microbiota, with Jueyin(Liver) and Taiyin(Lung) meridian CMMs generally exerting a stronger effect. The gut microbiota may be a biological indicator for characterizing the TCM property theory, which not only enhances our understanding of classic TCM theory but also contributes to its scientific advancement and application in healthcare.

关键词： Traditional Chinese medicine Property theory Gut microbiota Four natures Five flavors Meridian tropism

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Neural Network-Based State Estimation for Nonlinear Systems With Denial-of-Service Attack Under Try-Once-Discard Protocol

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IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2182-2184页

作者： Xueli Wang Shangwei Zhao ming Yang Xin Wang Xiaoming wu the Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan 250014 Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer ScienceJinan 250014China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

Dear Editor,This letter deals with state estimation issues of discrete-time nonlinear systems subject to denial-of-service(DoS)attacks under the try-once-discard(TOD)*** specifically,to reduce the communication burden,a TOD protocol with novel update rules on protocol weights is designed for scheduling measurement *** addition,unknown nonlinear functions vulnerable to DoS attacks are considered due to the openness and vulnerability of the network.

关键词： Service DoS service

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Thermal stability of permafrost under U-shaped crushed rock embankment of the Qinghai-Tibet Railway

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Advances in Climate Change Research 2024年第1期15卷 158-169页

作者： Kun-ming XU Guan-Li JIANG Ji CHEN Qing-Bai wu State Key Laboratory of Frozen Soil Engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China Beiluhe Observation Station of Frozen Soil Environment and Engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou730000China

The U-shaped crushed rock embankment(UCRE),of which widely utilized in the permafrost regions along the Qinghai-Tibet Railway,has the capability to rapidly reduce the ground temperature of the underlying ***,there remains uncertainty regarding the adaptation of UCRE to climate change and its long-term cooling *** study focuses on nine UCRE monitoring sites along the Qinghai-Tibet Railway to analyze the dynamic variations of the ground temperature underlying permafrost from 2006 to *** efficiency of UCRE in stabilizing permafrost temperature in different permafrost zones is evaluated by considering the permafrost table,ground temperature,and MAGT,as well as the temperature difference between the top and bottom of the crushed rock layer and the ground temperature variation index(GTVI).The results show that UCRE is suitable for application in extremely unstable warm permafrost regions where the MAGT is higher than-0.5℃.Moreover,UCRE effectively diminishes the disparity in permafrost thermal stability between the sunny and shaded shoulders of the *** short-term and long-term effect of cooling permafrost is experiencing a change related with permafrost ***,in stable cold permafrost regions with MAGT lower than-1.5℃,the long-term cooling effect of UCRE on permafrost seems to gradually di-minishes,but UCRE continues to fulfill the role of stabilizing the underlying permafrost thermal state over the *** results show that UCRE can quickly restore and stabilize the thermal state of permafrost in the early stages of construction,and adapt to the influence of future climate *** findings provide important guidance for understanding the variations of permafrost thermal stability beneath the embankment in permafrost regions,as well as for improving the embankment stability and operational safety of the Qinghai-Tibet Railway.

关键词： Qinghai-Tibet Railway U-shaped crushed rock embankment Climate change Permafrost zone Ground temperature variation index Long-term coolingrole

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