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Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems

Computers, Materials & Continua 2022年第3期70卷 5889-5905页

作者： rao muhammad asif Mustafa Shakir Jamel Nebhen Ateeq Ur Rehman muhammad Shafiq Jin-Ghoo Choi Department of Electrical Engineering Superior UniversityLahore54000Pakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Electrical Engineering Government College UniversityLahore54000Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

5G technology can greatly improve spectral efficiency(SE)and throughput of wireless communications.In this regard,multiple inputmultiple output(MIMO)technology has become the most influential technology using huge antennas and user equipment(UE).However,the use of MIMO in 5G wireless technology will increase circuit power consumption and reduce energy efficiency(EE).In this regard,this article proposes an optimal solution for weighing SE and throughput tradeoff with energy efficiency.The research work is based on theWyner model of uplink(UL)and downlink(DL)transmission under the multi-cell model scenario.The SE-EE trade-off is carried out by optimizing the choice of antenna and UEs,while the approximation method based on the logarithmic function is used for optimization.In this paper,we analyzed the combination of UL and DL power consumption models and precoding schemes for all actual circuit power consumption models to optimize the trade-off between EE and throughput.The simulation results show that the SE-EE trade-off has been significantly improved by developing UL and DL transmission models with the approximation method based on logarithmic functions.It is also recognized that the throughput-EE trade-off can be improved by knowing the total actual power consumed by the entire network.

关键词： Energy efficiency spectral efficiency throughput massive MIMO downlink uplink base stations power consumption

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Allogenic microglia replacement:A novel therapeutic strategy for neurological disorders

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Fundamental Research 2024年第2期4卷 237-245页

作者： Yanxia rao Bo Peng Department of Laboratory Animal Science MOE Frontiers Center for Brain ScienceFudan UniversityShanghai 200032China Department of Neurosurgery Huashan HospitalInstitute for Translational Brain ResearchState Key Laboratory of Medical NeurobiologyMOE Frontiers Center for Brain ScienceMOE Innovative Center for New Drug Development of Immune Inflammatory DiseasesFudan UniversityShanghai 200000China Co-Innovation Center of Neuroregeneration Nantong UniversityNantongJiangsu 226001China

Microglia are resident immune cells in the central nervous system(CNS)that play vital roles in CNS development,homeostasis and disease pathogenesis.Genetic defects in microglia lead to microglial dysfunction,which in turn leads to neurological disorders.The correction of the specific genetic defects in microglia in these disorders can lead to therapeutic effects.Traditional genetic defect correction approaches are dependent on viral vectorbased genetic defect corrections.However,the viruses used in these approaches,including adeno-associated viruses,lentiviruses and retroviruses,do not primarily target microglia;therefore,viral vector-based genetic defect corrections are ineffective in microglia.Microglia replacement is a novel approach to correct microglial genetic defects via replacing microglia of genetic defects with allogenic healthy microglia.In this paper,we systematically review the history,rationale and therapeutic perspectives of microglia replacement,which would be a novel strategy for treating CNS disorders.

关键词： Microglia Replacement Microglia replacement Microglia depletion Microglia-free niche CSF1R

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Clinical application of COVID-19 vaccine in liver transplant recipients

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Hepatobiliary & Pancreatic Diseases International 2024年第4期23卷 339-343页

作者： Feng-Chao Liu Man Xie Wei rao Division of Hepatology Liver Disease CenterThe Affiliated Hospital of Qingdao UniversityQingdao 266000China Organ Transplantation Center The Affiliated Hospital of Qingdao UniversityQingdao 266000China Institute of Organ Donation and Transplantation of Qingdao University Qingdao 266000China Department of Gastroenterology The Affiliated Hospital of Qingdao UniversityQingdao 266000China

Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Immunosuppressed individuals of liver transplant recipients(LTRs)tend to have a high risk of COVID-19 infection and related complications.Therefore,COVID-19 vaccination has been recommended to be administered as early as possible in LTRs.Data sources:The keywords“liver transplant”,“SARS-CoV-2”,and“vaccine”were used to retrieve articles published in PubMed.Results:The antibody response following the 1st and 2nd doses of vaccination was disappointingly low,and the immune responses among LTRs remarkably improved after the 3rd or 4th dose of vaccination.Although the 3rd or 4th dose of COVID-19 vaccine increased the antibody titer,a proportion of patients remained unresponsive.Furthermore,recent studies showed that SARS-CoV-2 vaccine could trigger adverse events in LTRs,including allograft rejection and liver injury.Conclusions:This review provides the recently reported data on the antibody response of LTRs following various doses of vaccine,risk factors for poor serological response and adverse events after vaccination.

关键词： Liver transplant COVID-19 SARS-CoV-2 Vaccine Antibody response

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Enhanced Hybrid Equilibrium Strategy in Fog-Cloud Computing Networks with Optimal Task Scheduling

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Computers, Materials & Continua 2024年第5期79卷 2647-2672页

作者： Muchang rao Hang Qin School of Computer Science Yangtze UniversityJingzhou434000China

More devices in the Intelligent Internet of Things(AIoT)result in an increased number of tasks that require low latency and real-time responsiveness,leading to an increased demand for computational resources.Cloud computing’s low-latency performance issues in AIoT scenarios have led researchers to explore fog computing as a complementary extension.However,the effective allocation of resources for task execution within fog environments,characterized by limitations and heterogeneity in computational resources,remains a formidable challenge.To tackle this challenge,in this study,we integrate fog computing and cloud computing.We begin by establishing a fog-cloud environment framework,followed by the formulation of a mathematical model for task scheduling.Lastly,we introduce an enhanced hybrid Equilibrium Optimizer(EHEO)tailored for AIoT task scheduling.The overarching objective is to decrease both the makespan and energy consumption of the fog-cloud system while accounting for task deadlines.The proposed EHEO method undergoes a thorough evaluation against multiple benchmark algorithms,encompassing metrics likemakespan,total energy consumption,success rate,and average waiting time.Comprehensive experimental results unequivocally demonstrate the superior performance of EHEO across all assessed metrics.Notably,in the most favorable conditions,EHEO significantly diminishes both the makespan and energy consumption by approximately 50%and 35.5%,respectively,compared to the secondbest performing approach,which affirms its efficacy in advancing the efficiency of AIoT task scheduling within fog-cloud networks.

关键词： Artificial intelligence of things fog computing task scheduling equilibrium optimizer differential evaluation algorithm local search

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Generating synthetic as-built additive manufacturing surface topography using progressive growing generative adversarial networks

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Friction 2024年第6期12卷 1283-1298页

作者： Junhyeon SEO Prahalada rao Bart RAEYMAEKERS Department of Mechanical Engineering Virginia TechBlacksburgVA 24061USA Grado Department of Industrial and Systems Engineering Virginia TechBlacksburgVA 24061USA

Numerically generating synthetic surface topography that closely resembles the features and characteristics of experimental surface topography measurements reduces the need to perform these intricate and costly measurements.However,existing algorithms to numerically generated surface topography are not well-suited to create the specific characteristics and geometric features of as-built surfaces that result from laser powder bed fusion(LPBF),such as partially melted metal particles,porosity,laser scan lines,and balling.Thus,we present a method to generate synthetic as-built LPBF surface topography maps using a progressively growing generative adversarial network.We qualitatively and quantitatively demonstrate good agreement between synthetic and experimental as-built LPBF surface topography maps using areal and deterministic surface topography parameters,radially averaged power spectral density,and material ratio curves.The ability to accurately generate synthetic as-built LPBF surface topography maps reduces the experimental burden of performing a large number of surface topography measurements.Furthermore,it facilitates combining experimental measurements with synthetic surface topography maps to create large data-sets that facilitate,e.***.relating as-built surface topography to LPBF process parameters,or implementing digital surface twins to monitor complex end-use LPBF parts,amongst other applications.

关键词： additive manufacturing surface topography synthetic surface topography generative adversarial networks

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Cretaceous integrative stratigraphy,biotas,and paleogeographical evolution of the Qinghai-Tibetan Plateau and its surrounding areas

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Science China Earth Sciences 2024年第4期67卷 1229-1289页

作者： Dangpeng XI Guobiao LI Shijun JIANG Xin rao Tian JIANG Tianyang WANG Zuohuan QIN Yasu WANG Jianzhong JIA muhammad KAMRAN Zhongye SHI Yuyang WU Panxi WANG Lixin SUN Qinggao ZENG Xiaoqiao WAN State Key Laboratory of Biogeology and Environmental Geology China University of GeosciencesBeijing 100083China College of Oceanography Hohai UniversityNanjing 213200China Key Laboratory of Palaeobiology and Petroleum Stratigraphy Nanjing Institute of Geology and PaleontologyChinese Academy of SciencesNanjing 210008China State Key Laboratory of Tibetan Plateau Earth System Environmentand Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China China National Offshore Oil Corporation Limited Beijing 100028China Shanghai Science and Technology Museum Shanghai 200120China Xizang Bureau of Geological and Mineral Exploration and Development Lhasa 850000China Tianjin Geological Survey Center of China Geological Survey Tianjin 300170China

The Cretaceous Period is a vital time interval in deciphering the evolutionary history of the Neo-Tethys Ocean and the convergence of different plates and blocks across the Qinghai-Tibetan Plateau.A detailed stratigraphic framework and paleogeographic patterns are the basis for understanding the evolution of the Neo-Tethys Ocean and the formation of the QinghaiTibetan Plateau.Here,the Cretaceous stratigraphy,biota,paleogeography,and major geological events in the Qinghai-Tibetan Plateau are analyzed to establish an integrative stratigraphic framework,reconstruct the paleogeography during the Cretaceous Period,and decode the history of the major geological events.The Cretaceous rocks of the Qinghai-Tibetan Plateau and its surrounding area are predominantly marine deposits,with a small amount of interbedded marine-terrestrial and terrestrial conponents.The Indus-Yarlung Tsangpo Suture Zone was responsible for the deposition of deep marine sediments dominated by ophiolite suites and radiolarian silicalite.To the south,the Tethys Himalayas and Indus Basin received marine sediments of varying depths and lithology;to the north,the Xigaze and Ladakh forearc basins are also filled with marine sediments.The Lhasa Block,Karakorum Block,western Tarim Basin,and West Burma block consist of shallow marine,interbedded marine-terrestrial,and terrestrial sediments.The Qiangtang Basin and other areas are dominated by terrestrial sedimentation.The Cretaceous strata of the Qinghai-Tibetan Plateau and its surrounding areas are widely distributed and diversified,with abundant foraminifera,calcareous nannofossils,radiolarians,ammonites,bivalves,and palynomorphs.On the basis of integrated lithostratigraphic,biostratigraphic,geochronologic,and chemostratigraphic analyses,we proposed herein a comprehensive stratigraphic framework for the Cretaceous Period of the eastern Neo-Tethys.By analyzing the Cretaceous biota of different biogeographic zones from eastern Neo-Tethys and its surrounding areas,we reconstructed the paleobiogeography of d

关键词： Qinghai-Tibetan Plateau Tethys Cretaceous Stratigraphy Biota Paleogeography

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Enhancing lithium-sulfur battery performance with In_(2)O_(3)-In_(2)S_(3)@NSC heterostructures:Synergistic effects of double barrier and catalytic transformation

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Journal of Materials Science & Technology 2024年第2期169卷 105-114页

作者： Deqing He Chunyu Zhu Yutao Huo Zhonghao rao School of Energy and Environmental Engineering Hebei University of TechnologyTianjin 300401China Hebei Key Laboratory of Thermal Science and Energy Clean Utilization Hebei University of TechnologyTianjin 300401China School of Low-carbon Energy and Power Engineering China University of Mining and TechnologyXuzhou 221116China

The sluggish redox reaction kinetics of lithium polysulfides(LiPSs)are considered the main obstacle to the commercial application of lithium-sulfur(Li-S)batteries.To accelerate the conversion by catalysis and inhibit the shuttling of soluble LiPSs in Li-S batteries,a solution is proposed in this study.The solution involves fabrication of N,S co-doped carbon coated In_(2)O_(3)/In_(2)S_(3)heterostructure(In_(2)O_(3)-In_(2)S_(3)@NSC)as a multifunctional host material for the cathode.The In_(2)O_(3)-In_(2)S_(3)@NSC composite can reduce the Gibbs free energy for the conversion reactions of LiPSs,which results in superior performance.The synergy between different components in In_(2)O_(3)-In_(2)S_(3)@NSC and the unique 3D structure facilitate ion and electron transport in Li-S batteries.The In_(2)O_(3)-In_(2)S_(3)@NSC/Li 2 S 6 cathode exhibits excellent rate capacity,with a capacity of 599 mAh g−1 at 5.5 C,and good cycle stability,with a capacity of 436 mAh g^(−1)after 1000 cycles at 1 C.Overall,this study proposes a promising solution to improve the energy storage properties of Li-S batteries,which could potentially facilitate the commercialization of Li-S batteries.

关键词： Li-S battery Multifunctional host material Synergy Heterostructures Energy storage properties

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Hemostatic radiotherapy for bleeding gastrointestinal

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World Journal of Gastrointestinal Oncology 2024年第5期16卷 2261-2263页

作者： Vrushab rao Soumya Singh Bhooshan Zade Department of Cyberknife Radiosurgery and Radiation Oncology Ruby Hall ClinicPune 411001MaharashtraIndia

Hemostatic radiotherapy is a non-invasive treatment for bleeding gastrointestinal(GI)tumors,promoting tumor shrinkage,blood supply reduction,and fibrotic tissue formation.It is effective in cases where traditional interventions are insufficient or contraindicated and can prevent recurrent bleeding in patients with GI bleeding histories.Hypofractionation schedules are also effective for tumor control and patient compliance.

关键词： Gastrointestinal tumors Hemostatic radiotherapy Palliative radiotherapy Acute bleeding Hypofractionation

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Recent progress of MgO-based materials in CO_(2) adsorption and conversion:Modification methods,reaction condition,and CO_(2) hydrogenation

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Chinese Chemical Letters 2024年第5期35卷 57-65页

作者： Zixuan Zhu Xianjin Shi Yongfang rao Yu Huang Key Laboratory of Aerosol Chemistry&Physics State Key Laboratory of Loess and Quaternary Geology(SKLLQG)Institute of Earth EnvironmentChinese Academy of Sciences(CAS)Xi’an 710061China Center for Excellence in Quaternary Science and Global Change Chinese Academy of SciencesXi’an 710061China University of Chinese Academy of Sciences Beijing 100049China Department of Environmental Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China

Integrated CO_(2) capture and conversion of(ICCC)is one of the most effective solutions to reduce anthropogenic CO_(2) emissions,which has attracted extensive public attention.Dual functional materials(DFMs),including adsorbent and catalyst,are the key components to achieve ICCC.Magnesium oxide(MgO)is an ideal adsorbent for ICCC,since it is characterized by high theoretical adsorption capacity,low cost,low energy consumption and extensive sources.It can also be used as DFMs in combination with the Ni catalysts.MgO not only can act as an adsorbent in DFMs but also enhance the catalytic performance of Ni.This review summarizes the advantages and modification methods of MgO as adsorbent and the influence of its adsorption conditions on the adsorption performance.Moreover,the important role of MgO in facilitating the catalytic conversion of CO_(2) is highlighted.Future research focuses are proposed for the development of MgO based DFMs with high adsorption capacity,high stability,conversion,and selectivity as well as low cost and energy consumption.

关键词： CO_(2) ICCC MgO Adsorption Conversion

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Stroke Risk Assessment Decision-Making Using a Machine Learning Model:Logistic-AdaBoost

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 699-724页

作者： Congjun rao Mengxi Li Tingting Huang Feiyu Li School of Science Wuhan University of TechnologyWuhan430070China Wuhan University of Technology Hospital Wuhan University of TechnologyWuhan430070China

Stroke is a chronic cerebrovascular disease that carries a high risk.Stroke risk assessment is of great significance in preventing,reversing and reducing the spread and the health hazards caused by stroke.Aiming to objectively predict and identify strokes,this paper proposes a new stroke risk assessment decision-making model named Logistic-AdaBoost(Logistic-AB)based on machine learning.First,the categorical boosting(CatBoost)method is used to perform feature selection for all features of stroke,and 8 main features are selected to form a new index evaluation system to predict the risk of stroke.Second,the borderline synthetic minority oversampling technique(SMOTE)algorithm is applied to transform the unbalanced stroke dataset into a balanced dataset.Finally,the stroke risk assessment decision-makingmodel Logistic-AB is constructed,and the overall prediction performance of this new model is evaluated by comparing it with ten other similar models.The comparison results show that the new model proposed in this paper performs better than the two single algorithms(logistic regression and AdaBoost)on the four indicators of recall,precision,F1 score,and accuracy,and the overall performance of the proposed model is better than that of common machine learning algorithms.The Logistic-AB model presented in this paper can more accurately predict patients’stroke risk.

关键词： Stroke risk assessment decision-making CatBoost feature selection borderline SMOTE Logistic-AB

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