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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 ***,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 ***,we present a method to generate synthetic as-built LPBF surface topography maps using a progressively growing generative adversarial *** 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 *** ability to accurately generate synthetic as-built LPBF surface topography maps reduces the experimental burden of performing a large number of surface topography ***,it facilitates combining experimental measurements with synthetic surface topography maps to create large data-sets that facilitate,*** 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

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 *** computing’s low-latency performance issues in AIoT scenarios have led researchers to explore fog computing as a complementary ***,the effective allocation of resources for task execution within fog environments,characterized by limitations and heterogeneity in computational resources,remains a formidable *** tackle this challenge,in this study,we integrate fog computing and cloud *** begin by establishing a fog-cloud environment framework,followed by the formulation of a mathematical model for task ***,we introduce an enhanced hybrid Equilibrium Optimizer(EHEO)tailored for AIoT task *** overarching objective is to decrease both the makespan and energy consumption of the fog-cloud system while accounting for task *** proposed EHEO method undergoes a thorough evaluation against multiple benchmark algorithms,encompassing metrics likemakespan,total energy consumption,success rate,and average waiting *** experimental results unequivocally demonstrate the superior performance of EHEO across all assessed ***,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

Extreme Weather Disruptions and Emergency Preparedness Among Older Adults in Ohio: An Eight-county Assessment

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International Journal of Disaster Risk Science 2024年第2期15卷 213-225页

作者： Smitha rao Fiona c.Doherty Anthony Traver Marisa Sheldon Emma Sakulich Holly Dabelko‑Schoeny college of Social Work The Ohio State UniversityColumbusOH 43210USA Age Friendly Innovation center College of Social WorkThe Ohio State UniversityColumbusOH 43210USA college of Public Health The Ohio State UniversityColumbusOH 43210USA

The disproportionate risks and impacts of climate change and extreme weather on older adults are increasingly evident. While especially true in disaster-prone areas, human-caused climate change introduces an element of uncertainty even in previously identified “safe” regions such as the Midwestern United States. Using a cumulative disadvantage and vulnerability-informed framework and descriptive statistics from multiple data sources, this article provides an overview of climate impacts, vulnerabilities, and county-level characteristics, focusing on older adults living in central Ohio. A comparative multiple-case study methodology was used to triangulate regionally representative primary and secondary data sources to examine state and county-level measures of vulnerability, emergency preparedness, and disruptions caused by extreme weather among older adults across eight counties in central Ohio. Seventy-eight percent of older adults in the sample reported being prepared for emergencies per Federal Emergency Management Agency guidelines. Older adults in Union county reported the highest rates of preparedness, while those in Fayette county reported the lowest. county-level rates of disruption of life activities by extreme weather ranged widely. Among the most rural in the region, Fayette county emerged as uniquely disadvantaged, with the lowest median income, the most vulnerable across multiple social vulnerability dimensions, and the most reported disruptions to life activities from extreme weather. county profiles offer a snapshot of existing vulnerabilities, socioeconomic conditions, special needs, preparedness, and current disruptions among older adults in the region and can inform resource mobilization across community and policy contexts.

关键词： Disaster preparedness Extreme weather Midwestern United States Older adults Regional assessment Social vulnerability

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)*** accelerate the conversion by catalysis and inhibit the shuttling of soluble LiPSs in Li-S batteries,a solution is proposed in this *** 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 *** 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 *** 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 *** 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 ***,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

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 *** defects in microglia lead to microglial dysfunction,which in turn leads to neurological *** correction of the specific genetic defects in microglia in these disorders can lead to therapeutic *** genetic defect correction approaches are dependent on viral vectorbased genetic defect ***,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 *** replacement is a novel approach to correct microglial genetic defects via replacing microglia of genetic defects with allogenic healthy *** 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

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 ***,cOVID-19 vaccination has been recommended to be administered as early as possible in *** sources:The keywords“liver transplant”,“SARS-coV-2”,and“vaccine”were used to retrieve articles published in ***: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 *** the 3rd or 4th dose of cOVID-19 vaccine increased the antibody titer,a proportion of patients remained ***,recent studies showed that SARS-coV-2 vaccine could trigger adverse events in LTRs,including allograft rejection and liver ***: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

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 *** functional materials(DFMs),including adsorbent and catalyst,are the key components to achieve *** oxide(MgO)is an ideal adsorbent for Iccc,since it is characterized by high theoretical adsorption capacity,low cost,low energy consumption and extensive *** can also be used as DFMs in combination with the Ni *** not only can act as an adsorbent in DFMs but also enhance the catalytic performance of *** review summarizes the advantages and modification methods of MgO as adsorbent and the influence of its adsorption conditions on the adsorption ***,the important role of MgO in facilitating the catalytic conversion of cO_(2) is *** 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

cu,N codoped carbon nanosheets encapsulating ultrasmall cu nanoparticles for enhancing selective 1,2-propanediol oxidation

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Journal of Energy chemistry 2024年第4期91卷 27-35页

作者： Yonghai Feng Min Yu Minjia Meng Lei Liu Dewei rao Institute for Advanced Materials School of Materials Science and EngineeringJiangsu UniversityZhenjiang 212013JiangsuChina School of chemistry and chemical Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

In the selective oxidation of biomass-based 1,2-propanediol(PDO)with oxygen as the terminal oxidant,it is challenging to improve the lactic acid(LA)selectivity for nonnoble metal nanoparticles(NPs)due to their limited oxygen reduction rate and easy c-c *** the high economic feasibility of nonnoble metals,i.e.,cu,in this work,copper and nitrogen codoped porous carbon nanosheets encapsulating ultrafine cu nanoparticles(cu@cu-N-c)were developed to realize highly selective of PDO oxidation to *** carbon-encapsulated ultrasmall cu^(0)NPs in cu@cu-N-c have high PDO dehydrogenation activity while N-coordinated cu(cu-N)sites are responsible for the high oxygen reduction ***,the performance of catalytic PDO conversion to LA is optimized by a proposed pathway of PDO→hydroxylacetone→lactaldehyde→***,the enhanced LA selectivity is 88.5%,and the PDO conversion is up to 75.1%in an O_(2)-pressurized reaction system(1.0 MPa O_(2)),superior to other cu-based catalysts,while in a milder nonpressurized system(O_(2)flow rate of 100 mL min-1),a remarkable LA selectivity(94.2%)is obtained with 39.8%PDO conversion,2.2 times higher than that of supported Au nanoparticles(1%Au/c).Moreover,carbon encapsulation offers cu@cu-N-c with strong leaching resistance for better recycling.

关键词： Selective oxidation copper and nitrogen doped carbon 1,2-Propanediol Ultrasmall cu nanoparticles Lactic acid

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 assessment is of great significance in preventing,reversing and reducing the spread and the health hazards caused by *** 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 ***,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 ***,the borderline synthetic minority oversampling technique(SMOTE)algorithm is applied to transform the unbalanced stroke dataset into a balanced ***,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 *** 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 *** 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