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Clinical value of precise rehabilitation nursing in management of cerebral infarction

World Journal of Clinical Cases 2024年第1期12卷 24-31页

作者： Ya-Na xu Xiu-Zhen Wang Xiao-rong Zhang Department of Neurology Wuhan Fourth HospitalWuhan 430030Hubei ProvinceChina Department of Neurosurgery The First People's Hospital of Jiangxia DistrictWuhan City(Union Jiangnan Hospital of Huazhong University of Science and Technology)Wuhan 430200Hubei ProvinceChina

BACKGROUND Cerebral infarction,previously referred to as cerebral infarction or ischemic stroke,refers to the localized brain tissue experiencing ischemic necrosis or softening due to disorders in brain blood supply,ischemia,and *** precision rehabilitation nursing model for chronic disease management is a continuous,fixed,orderly,and efficient nursing model aimed at standardizing the clinical nursing process,reducing the wastage of medical resources,and improving the quality of medical *** To analyze the value of a precise rehabilitation nursing model for chronic disease management in patients with cerebral *** Patients(n=124)admitted to our hospital with cerebral infarction between November 2019 and November 2021 were enrolled as the study *** random number table method was used to divide them into a conventional nursing intervention group(n=61)and a model nursing intervention group(n=63).Changes in the nursing index for the two groups were compared after conventional nursing intervention and precise rehabilitation intervention nursing for chronic disease *** Compared with the conventional intervention group,the model intervention group had a shorter time to clinical symptom relief(P<0.05),lower Hamilton Anxiety Scale and Hamilton Depression Scale scores,a lower incidence of total complications(P<0.05),a higher disease knowledge mastery rate,higher safety and quality,and a higher overall nursing satisfaction rate(P<0.05).CONCLUSION The precision rehabilitation nursing model for chronic disease management improves the clinical symptoms of patients with cerebral infarction,reducing the incidence of total complications and improving the clinical outcome of patients,and is worthy of application in clinical practice.

关键词： Precise rehabilitation nursing model for chronic disease management Cerebral infarction Knowledge of disease Safety and quality

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Effects of BN on the Mechanical and Thermal Properties of PP/BN Composites

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Journal of Wuhan University of Technology(Materials Science) 2024年第2期39卷 345-352页

作者：陈厚振王艳芝 NAN Yu WANG xu YUE Xianyang ZHANG Yifei fan Huiling School of Textiles Zhongyuan University of TechnologyZhengzhou 451191China Kaifeng Power Supply Company State Grid Henan Electric Power CompanyKaifeng 475000China School of Materials Science and Engineering Zhejiang University of TechnologyHangzhou 310014China Zhengzhou Hengtian Copper Co. Ltd.Zhengzhou 451100China

In order to explore the thermal conductivity of polypropylene(PP)/hexagonal boron nitride(BN) composites,PP composites filled with different proportions of BN were prepared through extrution compounding,injection moulding and compression *** composites were filled with BN particles of 5 and 20 μm respectively,and their mass fractions in composites were *** of BN was varied from 0 to 25wt% in steps of 5wt%.The effects of BN filler on mechanical properties of the composites were *** thermal behaviors were studied using DSC and TGA,and the thermal conductivity was also investigated by Laser Flash Device and the Model of 3D Heat Conduction *** experimental results show that impact strength of PP/BN can be enhanced with the addition of BN,but that composites exhibit lower breaking elongation & tensile strength when compared to unfilled *** is found that mass fraction of BN influenced the final thermal stability and degree of crystallization of PP matrix,the degree of crystallization of PP with 15wt% of 20 μm BN can be improved by 25% than neat ***,crystallization temperatures of PP composites are elevated by about 10 ℃.The thermal conductivity results demonstrate that the maximum value of the thermal conductivity is achieved from PP/BN with 20wt% of 20 μm BN,higher than that of pure PP by 95.65%,close to the simulation one.

关键词： thermal properties polypropylene composites hexagonal boron nitride

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Screening and identification of functional bacterial attachment genes in aerobic granular sludge

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Journal of Environmental Sciences 2024年第7期141卷 205-214页

作者： Kai Qiao Tingting Zhao LeiWang Wei Zhang WeiMeng fan Liu xu Gao Jianrong Zhu School of Environment Beijing Normal UniversityBeijing 100875China State Key Laboratory of Water Simulation Beijing 100875China R&D Centre of Aerobic Granule Technology Beijing 100875China

The screening and identification of attachment genes is important to exploring the formation mechanism of biofilms at the gene *** is helpful to the development of key culture technologies for aerobic granular sludge(AGS).In this study,genome-wide sequencing and gene editing were employed for the first time to investigate the effects and functions of attachment genes in *** the help of whole-genome analysis,ten attachment genes were screened from thirteen genes,and the efficiency of gene screening was greatly ***,two attachment genes were selected as examples to further confirm the gene functions by constructing gene-knockout recombinant mutants of Stenotrophomonas maltophilia;when the two attachment genes were knocked out,the attachment potential was reduced by 50.67%and 43.93%,*** results provide a new theoretical principle and efficient method for the development of AGS from the perspective of attachment genes.

关键词： Attachment gene Genome-wide sequence Gene-knockout Attachment potential Aerobic granular sludge biofilm

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Evaluation of erastin synergized cisplatin anti-nasopharyngeal carcinoma effect with a glutathione-activated near-infrared fluorescent probe

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Chinese Chemical Letters 2024年第2期35卷 311-316页

作者： rong He Dandan Tang Ningge xu Heng Liu Kun Dou xuejun Zhou Fabiao Yu Department of Otolaryngology Head and Neck SurgeryThe First Affiliated Hospital of Hainan Medical UniversityHaikou 570102China Key Laboratory of Hainan Trauma and Disaster Rescue Key Laboratory of Emergency and TraumaMinistry of EducationEngineering Research Center for Hainan Bio-Smart Materials and Bio-Medical DevicesCollege of Emergency and TraumaHainan Medical UniversityHaikou 571199China Sichuan Provincial General Hospital of Judicial Police Chengdu 610225China

Nasopharyngeal carcinoma(NPC),a malignant tumor originating from the nasopharynx,is one of the common malignant tumors of the head and *** are significant geographical differences in the incidence of nasopharyngeal carcinoma,with a high incidence in China and Southeast Asian ***,we designed and synthesized a novel near-infrared fluorescent(NIRF)probe to detect glutathione(GSH)in cellular and tumor environments using semi-naphthofluorescein(SNAFL)as the fluorescent molecular backbone and 2-fluoro-4-nitrobenzenesulfonate as the recognition *** reaction with GSH,SNAFL-GSH emitted a fluorescence signal,and its emission wavelength at 650 nm was remarkably *** results of selectivity experiments indicated that SNAFL-GSH was able to discriminate GSH from Cys,Hcy,and H_(2) ***,SNAFL-GSH could image both endogenous and exogenous GSH and distinguish normal and cancer cells by fluorescence signal *** the cellular level,cisplatin(DDP)-induced ferroptosis and inhibition of proliferation of various NPC cell lines(CNE2,CNE1,5-8F cells)by erastin combined with DDP were visualized with the help of *** a mouse tumor xenograft model,we successfully employed SNAFL-GSH for the evaluation of the efficacy of erastin combined with DDP in the treatment of *** importantly,the probe could image cancerous tissue sections from NPC patients with an imaging depth of approximately 80µ*** was foreseen that SNAFL-GSH offered great potential for application in the diagnosis and evaluation of the therapeutic efficacy of NPC,and these results would also provide new ideas for the clinical treatment of NPC.

关键词： Glutathione NIRF probe Ferroptosis Anti-tumor therapy evaluation Bioimaging

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Printable oil-NiO_(X)hole transport layer enables efficient n-i-p perovskite solar cells with a high thermal stability

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Science China Chemistry 2024年第7期67卷 2335-2340页

作者： Yazhou xu Zhaoyang Chu Hongyu Wang Zhi Xing Baojin fan Xiaotian Hu Yiwang Chen College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry(IPEC)/Film Energy Chemistry for Jiangxi Provincial Key Laboratory(FEC) Nanchang UniversityNanchang 330031China Key Lab of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education Jiangxi Normal University Nanchang 330022China Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010China

Currently,highly efficient n-i-p perovskite solar cells rely on an organic interface layer for high efficiency,especially 2,2',7,7'-tetrakis[N,N-bis(4-methoxyphenyl)ami-no]-9,9′-spirobifluorene(spiro-OMeTAD),but the instability of organic materials in the photothermal field compromises device *** this study,we employ the oleic acid(YS)/oleamine(YA)end-sealing method to achieve uniform dispersion of NiO_(X)nanoparticles,effectively mitigating coagulation resulting from high local concentration and secondary motion ***,the conductivity of the hole transport layer and its energy level alignment with perovskite is enhanced by the additional 2,3,5,6-tetrafluoro-7,7',8,8'-tetracyanodimethyl-p-benzoquinone(F4TCNQ),leading to a remarkable improvement of open-circuit voltage and fill factor,thus the high efficiency of 25.17%and 24.36%on 0.1 and 1.01cm2,***,by realizing an all-inorganic interface layer,an initial efficiency exceeding 90%is maintained even after 2,800 h of heating at 85℃.

关键词： oil-NiO_(X) perovskite solar cells printing technology high efficiency thermal stability

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Boosting spring runoff into the sea by reservoir regulation and its potential for estuarine fishery recovery

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Science China Earth Sciences 2024年第5期67卷 1591-1603页

作者： Xiao WU Houjie WANG Yongyong fan Naishuang BI Chiyuan MIAO Jingping xu Zuosheng YANG College of Marine Geosciences Key Laboratory of Submarine Geosciences and Prospecting Technologyand Frontiers Science Center for Deep Ocean Multispheres and Earth SystemOcean University of ChinaQingdao 266100China Laoshan National Laboratory Qingdao 266061China Institute of the Yellow River Estuary and Coast Science Dongying 257000China State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Department of Ocean Science&Engineering Southern University of Science and TechnologyShenzhen 518055China

With global surge in reservoir construction over the past decades,river systems worldwide have been profoundly ***,flow manipulation by reservoirs has altered the natural hydrological processes,resulting in extensive modifications of fluvial-marine *** the adverse ecological consequences of reservoirs has become a global concern and has garnered increasing *** Yellow River,as one of the most extensively manipulated river systems globally,has experienced substantial changes in the amount and timing of water discharge due to the presence of numerous reservoirs scattered throughout its catchment *** alterations have caused physicochemical changes in the estuary and subsequent modifications to the estuarine *** recent years,the Yellow River Conservancy Committee initiated the release of water through the Xiaolangdi Dam during the major spawning period of fisheries,specifically in the spring,with the aim of improving the estuarine ecological *** 2011 to 2020,a total of 84.05 km^(3)of water was discharged from the Xiaolangdi Reservoir during spring seasons,of which 40%(33.16 km^(3))constituted water impounded within the reservoir during preceding ***,the spring water discharge from the Yellow River to the sea increased significantly from 1.50 km^(3)/yr to 3.46 km^(3)/yr in the past decade,leading to a decrease in estuarine salinity by 1.6 *** estuarine fishery resources,such as fish eggs in the Yellow River estuary,have demonstrated evident *** reservoir regulation in the Yellow River,which has successfully enhanced spring water discharge and subsequently restored estuarine fishery resources,presents an effective attempt for mitigating the adverse ecological effects associated with reservoirs.

关键词： Reservoir regulation Water release Spring runoff Estuarine ecosystem Yellow River

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Catalytic effect in lithium metal batteries: From heterogeneous catalyst to homogenous catalyst

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Journal of Energy Chemistry 2024年第3期90卷 305-326,I0008页

作者： Haining fan xuan-Wen Gao Hailong xu Yichun Ding Shi-xue Dou Wen-Bin Luo School of Fashion and Textiles The Hong Kong Polytechnic UniversityHong Kong 100872China Institute for Energy Electrochemistry and Urban Mines Metallurgy School of MetallurgyNortheastern UniversityShenyang 110819LiaoningChina Institute of Energy Materials Science University of Shanghai for Science and TechnologyShanghai 200000China State Key Laboratory of Solidification Processing School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi'an 710000ShaanxiChina

Lithium metal batteries are regarded as prominent contenders to address the pressing needs owing to the high theoretical *** the broader implementation,the primary obstacle lies in the intricate multi-electron,multi-step redox reaction associated with sluggish conversion kinetics,subsequently giving rise to a cascade of parasitic *** order to smooth reaction kinetics,catalysts are widely introduced to accelerate reaction rate via modulating the energy *** past decades,a large amount of research has been devoted to the catalyst design and catalytic mechanism exploration,and thus the great progress in electrochemical performance has been ***,it is necessary to make a comprehensive review toward key progress in catalyst design and future development *** this review,the basic mechanism of lithium metal batteries is provided along with corresponding advantages and existing challenges detailly *** main catalysts employed to accelerate cathode reaction with emphasis on their catalytic mechanism are summarized as ***,the rational design and innovative direction toward efficient catalysts are suggested for future application in metal-sulfur/gas battery and *** review is expected to drive and benefit future research on rational catalyst design with multi-parameter synergistic impacts on the activity and stability of next-generation metal battery,thus opening new avenue for sustainable solution to climate change,energy and environmental issues,and the potential industrial economy.

关键词： Energy storage and conversion Metal battery Sulfur battery Air battery Catalytic effect Heterogeneous catalyst Homogeneous catalyst

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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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Crowdsourced federated learning architecture with personalized privacy preservation

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Intelligent and Converged Networks 2024年第3期5卷 192-206页

作者： Yunfan xu xuesong Qiu fan Zhang Jiakai Hao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China State Grid Beijing Electric Power Company Beijing 100031China

In crowdsourced federated learning,differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy ***,improper privacy budget settings and perturbation methods will severely impact model *** order to achieve a harmonious equilibrium between privacy preservation and model performance,we propose a novel architecture for crowdsourced federated learning with personalized privacy *** our architecture,to avoid the issue of poor model performance due to excessive privacy preservation requirements,we establish a two-stage dynamic game between the task requestor and clients to formulate the optimal privacy preservation strategy,allowing each client to independently control privacy preservation ***,we design a differential privacy perturbation mechanism based on weight *** divides the weights based on their relevance with local data,applying different levels of perturbation to different types of ***,we conduct experiments on the proposed perturbation mechanism,and the experimental results indicate that our approach can achieve better global model performance with the same privacy budget.

关键词： crowdsourced federated learning differential privacy privacy preservation two-stage game

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XRL-SHAP-Cache:an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks

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Science China(Information Sciences) 2024年第7期67卷 46-71页

作者： Xiaolong xu fan WU Muhammad BILAL Xiaoyu XIA Wanchun DOU Lina YAO Weiyi ZHONG School of Software Nanjing University of Information Science and Technology School of Computing and Communications Lancaster University School of Computing Technologies Royal Melbourne Institute of Technology State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering University of New South Wales Data 61 Commonwealth Scientific and Industrial Research Organization School of Computer Science Qufu Normal University

Content delivery networks(CDNs) play a pivotal role in the modern internet infrastructure by enabling efficient content delivery across diverse geographical regions. As an essential component of CDNs, the edge caching scheme directly influences the user experience by determining the caching and eviction of content on edge servers. With the emergence of 5G technology, traditional caching schemes have faced challenges in adapting to increasingly complex and dynamic network environments. Consequently, deep reinforcement learning(DRL) offers a promising solution for intelligent zero-touch network governance. However, the blackbox nature of DRL models poses challenges in understanding and making trusting decisions. In this paper,we propose an explainable reinforcement learning(XRL)-based intelligent edge service caching approach,namely XRL-SHAP-Cache, which combines DRL with an explainable artificial intelligence(XAI) technique for cache management in CDNs. Instead of focusing solely on achieving performance gains, this study introduces a novel paradigm for providing interpretable caching strategies, thereby establishing a foundation for future transparent and trustworthy edge caching solutions. Specifically, a multi-level cache scheduling framework for CDNs was formulated theoretically, with the D3QN-based caching scheme serving as the targeted interpretable model. Subsequently, by integrating Deep-SHAP into our framework, the contribution of each state input feature to the agent's Q-value output was calculated, thereby providing valuable insights into the decision-making process. The proposed XRL-SHAP-Cache approach was evaluated through extensive experiments to demonstrate the behavior of the scheduling agent in the face of different environmental *** results demonstrate its strong explainability under various real-life scenarios while maintaining superior performance compared to traditional caching schemes in terms of cache hit ratio, quality of service(QoS),a

关键词： deep reinforcement learning (DRL) explainable artificial intelligence (XAI) multi-level cache content delivery network (CDN) D3QN algorithm Deep-SHAP

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