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Distributed Graph Database Load Balancing Method Based on Deep Reinforcement Learning

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Computers, Materials & Continua 2024年第6期79卷 5105-5124页

作者： Shuming sha Naiwang Guo Wang Luo Yong Zhang Nanjing NARI Information&Communication Technology Co. Ltd.Nanjing210032China State Grid Electric Power Research Institute Nanjing211106China State Grid shanghai Municipal Eleciric Power Company Shanghai200122China

This paper focuses on the scheduling problem of workflow tasks that exhibit *** indepen-dent batch tasks,workflows typically consist of multiple subtasks with intrinsic correlations and *** necessitates the distribution of various computational tasks to appropriate computing node resources in accor-dance with task dependencies to ensure the smooth completion of the entire *** scheduling must consider an array of factors,including task dependencies,availability of computational resources,and the schedulability of ***,this paper delves into the distributed graph database workflow task scheduling problem and proposes a workflow scheduling methodology based on deep reinforcement learning(DRL).The method optimizes the maximum completion time(makespan)and response time of workflow tasks,aiming to enhance the responsiveness of workflow tasks while ensuring the minimization of the *** experimental results indicate that the Q-learning Deep Reinforcement Learning(Q-DRL)algorithm markedly diminishes the makespan and refines the average response time within distributed graph database *** quantifying makespan,Q-DRL achieves mean reductions of 12.4%and 11.9%over established First-fit and Random scheduling strategies,***,Q-DRL surpasses the performance of both DRL-Cloud and Improved Deep Q-learning Network(idQN)algorithms,with improvements standing at 4.4%and 2.6%,*** reference to average response time,the Q-DRL approach exhibits a significantly enhanced performance in the scheduling of workflow tasks,decreasing the average by 2.27%and 4.71%when compared to idQN and DRL-Cloud,*** Q-DRL algorithm also demonstrates a notable increase in the efficiency of system resource utilization,reducing the average idle rate by 5.02%and 9.30%in comparison to idQN and DRL-Cloud,*** findings support the assertion that Q-DRL not only upholds a lower average

关键词： Reinforcement learning workflow task scheduling load balancing

Updated roles of the gut microbiota in exploring shrimp etiology, polymicrobial pathogens, and disease incidence

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Zoological Research 2024年第4期45卷 910-923页

作者： Jin-Bo Xiong Hao-Nan sha Jiong Chen State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products School of Marine SciencesNingbo UniversityNingboZhejiang 315211China Key Laboratory of Aquacultural Biotechnology Ministry of EducationSchool of Marine SciencesNingbo UniversityNingboZhejiang 315211China Laboratory of Biochemistry and Molecular Biology School of Marine SciencesNingbo UniversityNingboZhejiang 315211China

Litopenaeus vannamei is the most extensively cultured shrimp species globally,recognized for its scale,production,and economic ***,its aquaculture is plagued by frequent disease outbreaks,resulting in rapid and massive *** research often lags behind the emergence of new diseases,leaving the causal agents of some shrimp diseases unidentified and leading to nomenclature based on symptomatic presentations,especially in cases involving co-and polymicrobial *** data on shrimp disease statuses remain *** this review,we summarize current knowledge on shrimp diseases and their effects on the gut ***,we also propose a workflow integrating primary colonizers,“driver”taxa in gut networks from healthy to diseased states,disease-discriminatory taxa,and virulence genes to identify potential polymicrobial *** examine both abiotic and biotic factors(e.g.,external and internal sources and specific-disease effects)that influence shrimp gut microbiota,with an emphasis on the“holobiome”concept and common features of gut microbiota response to diverse *** excluding the effects of confounding factors,we provide a diagnosis model for quantitatively predicting shrimp disease incidence using disease common-discriminatory taxa,irrespective of the causal *** to the conservation of functional genes used in designing specific primers,we propose a practical strategy applying qPCR-assayed abundances of disease common-discriminatory functional *** review updates the roles of the gut microbiota in exploring shrimp etiology,polymicrobial pathogens,and disease incidence,offering a refined perspective for advancing shrimp aquaculture health management.

关键词： Shrimp disease Gut microbiota Polymicrobial pathogens Diagnosis model Disease common-discriminatory taxa Disease prediction

Cost-Sensitive Dual-Stream Residual Networks for Imbalanced Classification

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Computers, Materials & Continua 2024年第9期80卷 4243-4261页

作者： Congcong Ma Jiaqi Mi Wanlin Gao sha Tao College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China Key Laboratory of Agricultural Informatization Standardization Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing100083China

Imbalanced data classification is the task of classifying datasets where there is a significant disparity in the number of samples between different *** task is prevalent in practical scenarios such as industrial fault diagnosis,network intrusion detection,cancer detection,*** imbalanced classification tasks,the focus is typically on achieving high recognition accuracy for the minority ***,due to the challenges presented by imbalanced multi-class datasets,such as the scarcity of samples in minority classes and complex inter-class relationships with overlapping boundaries,existing methods often do not perform well in multi-class imbalanced data classification tasks,particularly in terms of recognizing minority classes with high ***,this paper proposes a multi-class imbalanced data classification method called CSDSResNet,which is based on a cost-sensitive dualstream residual ***,to address the issue of limited samples in the minority class within imbalanced datasets,a dual-stream residual network backbone structure is designed to enhance the model’s feature extraction ***,considering the complexities arising fromimbalanced inter-class sample quantities and imbalanced inter-class overlapping boundaries in multi-class imbalanced datasets,a unique cost-sensitive loss function is *** loss function places more emphasis on the minority class and the challenging classes with high interclass similarity,thereby improving the model’s classification ***,the effectiveness and generalization of the proposed method,CSDSResNet,are evaluated on two datasets:‘DryBeans’and‘Electric Motor Defects’.The experimental results demonstrate that CSDSResNet achieves the best performance on imbalanced datasets,with macro_F1-score values improving by 2.9%and 1.9%on the two datasets compared to current state-of-the-art classification methods,***,it achieves the highest precision in single-class r

关键词： Deep learning imbalanced data classification fault diagnosis cost-sensitivity

Lenvatinib combined with sintilimab plus transarterial chemoembolization as first-line treatment for advanced hepatocellular carcinoma

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World Journal of Clinical Cases 2024年第2期12卷 285-292页

作者： sha-sha Sun Xiao-Di Guo Wen-Dong Li Jing-Long Chen Department of Oncology Capital Medical University Affiliated Beijing Ditan HospitalBeijing 100015China

BACKGROUND Recently,combination therapy has shown a better trend towards improved tumour response and survival outcomes than monotherapy in patients with hepatocellular carcinoma(HCC).However,research on triple therapy[lenvatinib+sintilimab+transarterial chemoembolization(TACE)]as a first-line treatment for advanced HCC is *** To evaluate the safety and efficacy of triple therapy as a first-line treatment for advanced *** HCC patients with Barcelona Clinic Liver Cancer stage C treated with triple therapy were *** patients were treated with lenvatinib every day and sintilimab once every 3 ***,TACE was performed every 4-6 wk if *** primary outcome of the study was overall survival(OS).The secondary outcomes were the objective response rate(ORR),disease control rate(DCR),and incidence of adverse *** Forty HCC patients who underwent triple therapy were retrospectively analysed from January 2019 to January *** a median follow-up of 8.5 months,the 3-,6-,and 12-mo OS rates were 100%,88.5%,and 22.5%,*** ORR and DCR were 45%and 90%,*** median progressive free survival and median OS were not *** complications were observed in 76%of the patients(grade 3,15%;grade 4,2.5%).CONCLUSION Combination therapy comprising lenvatinib,sintilimab and TACE achieved promising outcomes in advanced HCC patients and had manageable effects.

关键词： Lenvatinib Sintilimab Advanced hepatocellular carcinoma Combination therapy Tumor response

Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

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World Journal of Diabetes 2024年第1期15卷 43-52页

作者： sha-sha Cai Teng-Ye Zheng Kang-Yao Wang Hui-Ping Zhu Department of Nephrology The First People’s Hospital of WenlingWenling 317500Zhejiang ProvinceChina

BACKGROUND Among older adults,type 2 diabetes mellitus(T2DM)is widely recognized as one of the most prevalent *** nephropathy(DN)is a frequent com-plication of DM,mainly characterized by renal microvascular *** detection,aggressive prevention,and cure of DN are key to improving *** a diagnostic and predictive model for DN is crucial in auxiliary *** To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive *** The clinical data of 210 patients diagnosed with T2DM and admitted to the First People’s Hospital of Wenling between August 2019 and August 2022 were retrospectively *** to whether the patients had DN,they were divided into the DN group(complicated with DN)and the non-DN group(without DN).Multivariate logistic regression analysis was used to explore factors affecting DN in patients with *** data were randomly split into a training set(n=147)and a test set(n=63)in a 7:3 ratio using a random *** training set was used to construct the nomogram,decision tree,and random forest models,and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity,specificity,accuracy,recall,precision,and area under the receiver operating characteristic *** Among the 210 patients with T2DM,74(35.34%)had *** validation dataset showed that the accuracies of the nomogram,decision tree,and random forest models in predicting DN in patients with T2DM were 0.746,0.714,and 0.730,*** sensitivities were 0.710,0.710,and 0.806,respectively;the specificities were 0.844,0.875,and 0.844,respectively;the area under the receiver operating characteristic curve(AUC)of the patients were 0.811,0.735,and 0.850,*** Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models(P<0.05),whereas the differ

关键词： Type 2 diabetes mellitus Diabetic nephropathy Random forest Decision-making tree Nomogram Forecast

Neuroprotective Effect and Mechanism of Tanreqing Injection on Ischemic Stroke:Insights from Network Pharmacology and in vivo Experiments

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Chinese Journal of Integrative Medicine 2024年第8期30卷 713-720页

作者： LI Zhong-hao PU Xiao-qi LI sha-sha DONG Xiao-ke ZHANG Guo-qiang WANG Yu LIU Jin-min Department of Emergency China-Japan Friendship HospitalBeijing100029China Department of Neurology Beijing University of Chinese Medicine Dongfang HospitalBeijing100078China Department of Radiology China-Japan Friendship HospitalBeijing100029China Graduate School Beijing University of Chinese MedicineBeijing100029China

Objective To explore the neuroprotective effects and mechanism of Tanreqing Injection(TRQ)on treating ischemic stroke based on network pharmacology and in vivo experimental *** The chemical compounds of TRQ were retrieved based on published data,with targets retrieved from PubChem,Therapeutic Target Database and *** visualization and analysis were performed using Cytoscape,with protein-protein interaction networks derived from the STRING *** analysis was performed using Kyoto Encyclopedia of Genes Genomes pathway and Gene Ontology *** in vivo experiments,the middle cerebral artery occlusion(MCAO)model was *** volume was determined by 2,3,5-triphenyltetrazolium hydrochloride staining and protein expressions were analyzed by Western *** docking was performed to predict ligand-receptor *** We screened 81 chemical compounds in TRQ and retrieved their therapeutic *** the targets,116 were therapeutic targets for *** enrichment analysis showed that the apelin signaling pathway was a key pathway for ischemic ***,in in vivo experiment we found that administering with intraperitoneal injection of 2.5 mL/kg TRQ every 6 h could significantly reduce the infarct volume of MCAO rats(Pidylinositol 3-kinase(PI3K)/protein kinase B(AKT)pathway were increased by TRQ(P<0.05).In addition,41 chemical compounds in TRQ could bind to *** The neuroprotective effect of TRQ may be related to the APJ/PI3K/AKT signaling ***,further studies are needed to confirm the findings.

关键词： Tanreqing Injection Chinese medicine ischemic stroke middle cerebral artery occlusion quantitative estimate of drug-likeness

Scattering of Water Waves by Dual Symmetric Inclined Floating Porous Barriers Using the DBEM

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China Ocean Engineering 2024年第1期38卷 156-168页

作者： WANG Li-xian DENG Yan-wen YE Yang-sha DENG Zheng-zhi Key Laboratory of High Performance Ship Technology(Wuhan University of Technology) Ministry of EducationWuhan 430063China School of Naval Architecture Ocean and Energy Power EngineeringWuhan University of TechnologyWuhan 430063China Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province Changsha 410114China Institute of Port Coastal and Offshore EngineeringZhejiang UniversityZhoushan 316021China

The scattering of normally incident water waves by two surface-piercing inclined perforated barriers in water with a uniform finite depth is investigated within the framework of linear water wave *** that thin barriers are zero-thickness,a novel numerical method involving the the coupling of the dual boundary element method(DBEM)with damping layers is *** order to effectively damp out the reflected waves,two damping layers,instead of pseudoboundaries are implemented near the two side boundaries of the computational ***,the modified linearized free surface boundary conditions are formulated and used for solving both the ordinary boundary integral equation as well as the hypersingular boundary integral equation for degenerate *** newly developed numerical method is validated against analytical methods using the matched eigenfunction expansion method for the special case of two vertical barriers or the inclined angle to the vertical being *** influence of the length of the two damping layers has been ***,these findings are also validated against previous results for several *** validation,the numerical results for the reflection coefficient,transmission coefficient and dissipation coefficient are obtained by varying the inclination angle and porosity-effect *** effects of both the inclination angle and the porosity on the amplitudes of wave forces acting on both the front and rear barriers are also *** is found that the effect of the inclination angle mainly shifts the location of the extremal values of the reflection and the transmission ***,a moderate value of the porosity-parameter is quite effective at dissipating wave energy and mitigating the wave loads on dual barriers.

关键词： dual boundary element method inclined perforated floating breakwater reflection coefficient transmission coefficient damping layer

A Web-like Three-dimensional Binder for Silicon Anode in Lithium-ion Batteries

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Energy & Environmental Materials 2024年第1期7卷 21-27页

作者： Liyuan Li Tao Li Yifan sha Baozeng Ren Lan Zhang Suojiang Zhang CAS Key Laboratory of Green Process and Engineering Beijing Key Laboratory of Ionic Liquids Clean ProcessState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China Langfang Green Industrial Technology Center Langfang 065001China Henan Key Laboratory of Energy Storage Materials and Processes Zhengzhou Institute of Emerging Industrial TechnologyZhengzhou 450003China

Si anode is of paramount importance for advanced energy-dense lithium-ion batteries(LIBs).However,the large volume change as well as stress generates during its lithiation-delithiation process poses a great challenge to the long-term cycling and hindering its *** this work,a composite binder is prepared with a soft component,guar gum(GG),and a rigid linear polymer,anionic polyacrylamide(APAM).Rich hydroxy,carboxyl,and amide groups on the polymer chains not only enable intermolecular crosslinking to form a web-like binder,A2G1,but also realize strong chemical binding as well as physical encapsulating to Si *** resultant electrode shows limited thickness change of merely 9%on lithiation and almost recovers its original thickness on *** demonstrates high reversible capacity of 2104.3 mAh g^(-1)after 100 cycles at a current density of 1800 mA g^(-1),and in constant capacity(1000 mAh g^(-1))test,it also shows a long life of 392 ***,this soft-hard combining web-like binder illustrates its great potential in the future applications.

关键词： anionic polyacrylamide lithium-ion batteries Si anode thickness change web-like binder

Quantitative effect of kerogen type on the hydrocarbon generation potential of Paleogene lacustrine source rocks,Liaohe Western Depression,China

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Petroleum Science 2024年第1期21卷 14-30页

作者： sha-sha Hui Xiong-Qi Pang Fu-Jie Jiang Chen-Xi Wang Shu-Xing Mei Tao Hu Hong Pang Min Li Xiao-Long Zhou Kan-Yuan Shi State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing102249China College of Geosciences China University of Petroleum(Beijing)Beijing102249China Exploration and Development Research Institute PetroChina Liaohe Oilfield CompanyPanjin 124010LiaoningChina

Kerogen types exert a decisive effect on the onset and capacity of hydrocarbon generation of source *** source rocks in the Liaohe Western Depression are characterized by thick deposition,high total organic carbon(TOC)content,various kerogen types,and a wide range of thermal ***,their hydrocarbon generation potential and resource estimation can be *** this study,geochemical tests,numerical analysis,hydrocarbon generation kinetics,and basin modeling were integrated to investigate the differential effects of kerogen types on the hydrocarbon generation potential of lacustrine source *** hydrocarbon generation and expulsion(HGE)models of different kerogen types were established quantitatively upon abundant Rock-Eval/TOC/vitrinite reflectance(R_(o))*** sets of good-excellent source rocks deposited in the fourth(Es4),third(Es3),and first(Es1)members of Paleogene shahejie Formation,are predominantly types I-II_(1),II_(1)-II_(2),and II-III,*** activation energy of types I-II_(2)kerogen is concentrated(180-230 kcal/mol),whereas that of type III kerogen is widely distributed(150-280 kcal/mol).The original hydrocarbon generation potentials of types I,II_(1),II_(2),and III kerogens are 790,510,270,and 85 mg/g TOC,*** Ro values of the hydrocarbon generation threshold for type I-III source rocks gradually increase from 0.42%to 0.74%,and Ro values of the hydrocarbon expulsion threshold increase from 0.49%to 0.87%.Types I and II_(1)source rocks are characterized by earlier hydrocarbon generation,more rapid hydrocarbon expulsion,and narrower hydrocarbon generation windows than types II_(2)and III source *** kerogen types also affect the HGE history and resource *** types(conventional,tight,and shale oil/gas)and three levels(realistic,expected,and prospective)of hydrocarbon resources of different members in the Liaohe Western Depression are *** suggest that t

关键词： Kerogen type Hydrocarbon generation potential Lacustrine source rocks Liaohe western depression