检索结果-南通市图书馆

清华大学学报:自然科学版(英文版) 2023年第4期28卷 673-685页

作者： Qiuju zhang Hongtao Zhang Keming Zhou Le zhang College of Computer Science Sichuan UniversityChengdu 610065China August International Ltd. HoddesdonEN110EEUK Key Laboratory of Systems Health Science of Zhejiang Province Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China

With the development of computers,artificial intelligence,and cognitive science,engagement in deep communication between humans and computers has become increasingly important.Therefore,affective computing is a current hot research topic.Thus,this study constructs a Physiological signal-based,Mean-threshold,and Decision-level fusion algorithm(PMD)to identify human emotional states.First,we select key features from electroencephalogram and peripheral physiological signals,and use the mean-value method to obtain the classification threshold of each participant and distinguish individual differences.Then,we employ Gaussian Naive Bayes(GNB),Linear Regression(LR),Support Vector Machine(SVM),and other classification methods to perform emotion recognition.Finally,we improve the classification accuracy by developing an ensemble model.The experimental results reveal that physiological signals are more suitable for emotion recognition than classical facial and speech signals.Our proposed mean-threshold method can solve the problem of individual differences to a certain extent,and the ensemble learning model we developed significantly outperforms other classification models,such as GNB and LR.

关键词： electroencephalogram(EEG) peripheral physiological signals machine learning emotion recognition multimodal fusion

Will cancer cells be defeated by sodium bicarbonate？

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Life Sciences) 2017年第3期60卷 326-328页

作者： Hongtao Zhang Department of Pathology and Laboratory Medicine University of Pennsylvania Philadelphia PA 19104 USA

Chao et al.reported an improved version of the transarterial chemoembolization(TACE)procedure for large hepatocellular carcinoma(HCC),in which 5%sodium bicarbonate was infused into tumors to supplement chemotherapeutic agents.In a small randomized control trial,TACE combined with bicarbonate yielded a 100%objective response rate(ORR),a significant improvement from the 63.6%ORR in the TACE alone group(Chao et al.,2016).This optimized procedure is termed targeting-intratumorallactic-acidosis TACE(TILA-TACE),as the authors

关键词：碳酸氢钠癌细胞随机对照试验化疗药物 HCC 肝动脉小规模

Simulation of thermal expansion mismatch at high temperature

在线全文

学校读者我要写书评

暂无评论

Underground Space 2023年第1期8卷 210-228页

作者： Zhifei Gao Linbing Wang Hongtao Zhang National Center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China Joint USTB-Virginia Tech Lab on Multifunctional Materials University of Science and Technology BeijingBeijing 100083China Joint USTB-Virginia Tech Lab on Multifunctional Materials Virginia TechBlacksburgVA 24061USA Department of Civil Engineering North China University of TechnologyBeijing 100144China

The thermal expansion mismatch between cement mortar and aggregate at high temperature is one of the main reasons causing the deterioration of concrete at high temperature.In this study,the thermal damage of concrete caused by the thermal expansion mismatch between aggregate and cement mortar was investigated using a meso-scale concrete model.The meso-scale concrete model is composed of mortar,aggregate and the interfacial transition zone(ITZ).Laboratory tests on the mechanical properties of cement mortar at high temperature were conducted to provide the necessary mechanical parameter for the meso-scale concrete model.The simulation results show that the particle size,content,distribution and mechanical properties of the aggregate have an effect on the thermal damage of concrete at high temperature.The smaller the particle size of concrete aggregate and the higher the elastic modulus of aggregate,the greater the damage of concrete under high temperature.Due to the increasing thermal expansion difference between aggregate and cement mortar,and the deterioration of the cement mortar with the increasing temperature,the damage of concrete increased sharply after 500℃.

关键词： Cement mortar Concrete High temperature Thermal expansion mismatch Meso-scale model

Thrombosis after SARS-CoV2 infection or COVID-19 vaccination:will a nonpathologic anti-PF4 antibody be a solution?—A narrative review

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Bio-X Research 2022年第3期5卷 97-103页

作者： Elizabeth Rao Payal Grover Hongtao Zhang Department of Pathology and Laboratory Medicine Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA

The coronavirus disease 2019(COVID-19)pandemic was triggered by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),a previously unknown strain of coronavirus.To fully understand the consequences and complications of SARS-CoV-2 infections,we have reviewed current literature on coagulation dysfunctions that are related to the disease and vaccination.While COVID-19 is more commonly considered as a respiratory illness,studies indicate that,in addition to respiratory illness,a coagulation dysfunction may develop in individuals after the initial infection,placing them at the risk of developing thrombotic events.Patients who died of COVID-19 had higher levels of D-dimer,a biomarker for blood clot formation and breakdown.Effective treatments for coagulation dysfunctions are critically needed to improve patient survival.On the other hand,antibodies against platelet factor 4(PF4)/heparin may be found in patients with rare instances of vaccine-induced immunological thrombotic thrombocytopenia(VITT)following vaccination with adenovirus-based vaccines.VITT is characterized by atypical thrombosis and thrombocytopenia,similar to immune-mediated heparin-induced thrombocytopenia(HIT),but with no need for heparin to trigger the immune response.Although both adenovirus-based and mRNA-based vaccines express the Spike protein of SARS-CoV-2,VITT is exclusively related to adenovirus-based vaccines.Due to the resemblance with HIT,the use of heparin is highly discouraged against treating patients with thrombotic thrombocytopenia after SARS-CoV-2 infection or with VITT after vaccination.Intravenous immunoglobulin therapy coupled with anticoagulation is recommended instead.The well-studied anti-PF4 monoclonal antibody RTO,which does not induce pathologic immune complexes in the presence of heparin and has been humanized for a potential treatment modality for HIT,may provide a nonanticoagulant HIT-specific solution to the problem of increased blood coagulation after SARS-CoV-2 infection or the VITT after immunization.

关键词： antibody coagulation dysfunctions COVID-19 PF4 vaccine-induced immunological thrombotic thrombocytopenia

Rapid design of secondary deformation-aging parameters for ultra-low Co content Cu-Ni-Co-Si-X alloy via Bayesian optimization machine learning

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2022年第6期29卷 1197-1205页

作者： Hongtao Zhang Huadong Fu Yuheng Shen Jianxin Xie Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory for Advanced Materials Processing(MOE) University of Science and Technology BeijingBeijing 100083China Beijing Laboratory of Metallic Materials and Processing for Modern Transportation University of Science and Technology BeijingBeijing 100083China

It is difficult to rapidly design the process parameters of copper alloys by using the traditional trial-and-error method and simultaneously improve the conflicting mechanical and electrical properties.The purpose of this work is to develop a new type of Cu-Ni-Co-Si alloy saving scarce and expensive Co element,in which the Co content is less than half of the lower limit in ASTM standard C70350 alloy,while the properties are as the same level as C70350 alloy.Here we adopted a strategy combining Bayesian optimization machine learning and experimental iteration and quickly designed the secondary deformation-aging parameters(cold rolling deformation 90%,aging temperature 450℃,and aging time 1.25 h)of the new copper alloy with only 32 experiments(27 basic sample data acquisition experiments and 5 iteration experiments),which broke through the barrier of low efficiency and high cost of trial-and-error design of deformation-aging parameters in precipitation strengthened copper alloy.The experimental hardness,tensile strength,and electrical conductivity of the new copper alloy are HV(285±4),(872±3)MPa,and(44.2±0.7)%IACS(international annealed copper standard),reaching the property level of the commercial lead frame C70350 alloy.This work provides a new idea for the rapid design of material process parameters and the simultaneous improvement of mechanical and electrical properties.

关键词： copper alloy process design machine learning Bayesian optimization utility function

Recent progress in the machine learning-assisted rational design of alloys

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 635-644页

作者： Huadong Fu Hongtao Zhang Changsheng Wang Wei Yong Jianxin Xie Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory for Advanced Materials Processing(MOE) University of Science and Technology BeijingBeijing 100083China Beijing Laboratory of Metallic Materials and Processing for Modern Transportation University of Science and Technology BeijingBeijing 100083China

Alloys designed with the traditional trial and error method have encountered several problems,such as long trial cycles and high costs.The rapid development of big data and artificial intelligence provides a new path for the efficient development of metallic materials,that is,machine learning-assisted design.In this paper,the basic strategy for the machine learning-assisted rational design of alloys was introduced.Research progress in the property-oriented reversal design of alloy composition,the screening design of alloy composition based on models established using element physical and chemical features or microstructure factors,and the optimal design of alloy composition and process parameters based on iterative feedback optimization was reviewed.Results showed the great advantages of machine learning,including high efficiency and low cost.Future development trends for the machine learning-assisted rational design of alloys were also discussed.Interpretable modeling,integrated modeling,high-throughput combination,multi-objective optimization,and innovative platform building were suggested as fields of great interest.

关键词： machine learning data mining rational design alloys

Establishment and maintenance of autogenous arteriovenous fistula in hemodialysis patients:A new beacon

在线全文

学校读者我要写书评

暂无评论

Chronic Diseases and Translational Medicine 2021年第4期7卷 217-219页

作者： Hongtao Zhang Wenge Li Department of Nephrology Henan Provincial People's HospitalZhengzhouHenan 450003China Department of Nephrology China-Japan Friendship HospitalBeijing 100029China

Autogenous arteriovenous fistula(AVF)is a lifeline for maintenance hemodialysis patients.In 2006,the vascular access guidelines issued by the Kidney Disease Outcomes Quality Initiative(KDOQI)introduced the concept of“Fistula first”.1 In 2019,the same organization updated these vascular access guidelines and proposed the concept of“Patient first”,2 sparking a wide range of controversy and discussion on whether to abandon the“Fistula first”principle.Given this context,experts from across China mainland conducted a comprehensive and systematic evaluation of the relevant literature,evidence-based medical guidelines,and international guidelines.

关键词： Hemodialysis Vascular access Autogenous arteriovenous fistula

Two‑Dimensional Mesoporous Materials for Energy Storage and Conversion:Current Status,Chemical Synthesis and Challenging Perspectives

在线全文

学校读者我要写书评

暂无评论

Electrochemical Energy Reviews 2023年第1期6卷 614-650页

作者： Jieqiong Qin Zhi Yang Feifei Xing Liangzhu zhang Hongtao Zhang Zhong‑Shuai Wu College of Science Henan Agricultural University63 Agricultural RoadZhengzhou 450002HenanChina State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of Sciences457 Zhongshan RoadDalian 116023LiaoningChina University of Chinese Academy of Sciences 19 A Yuquan RoadShijingshan DistrictBeijing 100049China

Two-dimensional(2D)mesoporous materials(2DMMs),defined as 2D nanosheets with randomly dispersed or orderly aligned mesopores of 2–50 nm,can synergistically combine the fascinating merits of 2D materials and mesoporous mate-rials,while overcoming their intrinsic shortcomings,e.g.,easy self-stacking of 2D materials and long ion transport paths in bulk mesoporous materials.These unique features enable fast ion diffusion,large specific surface area,and enriched adsorption/reaction sites,thus offering a promising solution for designing high-performance electrode/catalyst materials for next-generation energy storage and conversion devices(ESCDs).Herein,we review recent advances of state-of-the-art 2DMMs for high-efficiency ESCDs,focusing on two different configurations of in-plane mesoporous nanosheets and sandwich-like mesoporous heterostructures.Firstly,a brief introduction is given to highlighting the structural advantages(e.g.,tailored chemical composition,sheet configuration,and mesopore geometry)and key roles(e.g.,active materials and functional additives)of 2DMMs for high-performance ESCDs.Secondly,the chemical synthesis strategies of 2DMMs are summarized,including template-free,2D-template,mesopore-template,and 2D mesopore dual-template methods.Thirdly,the wide applications of 2DMMs in advanced supercapacitors,rechargeable batteries,and electrocatalysis are discussed,enlightening their intrinsic structure–property relationships.Finally,the future challenges and perspectives of 2DMMs in energy-related fields are presented.

关键词： 2D materials Mesopores Nanosheets Energy storage Energy conversion

Feasibility study of thermo-compensated resistance brazing welding of C/C composites and T2 copper with AgCuTi filler metal

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2023年第5期36卷 534-548页

作者： Jiang YU Xinglin MIAO Hongtao Zhang Bo WANG Changming QU Peng HE State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China Institute for Shipwelding Technology Shandong Institute of Shipbuilding TechnologyWeihai 264209China

The dissimilar materials joining of C/C composites to T2 copper were performed successfully by thermo-compensated Resistance Brazing Welding(RBW)with AgCuTi filler powder.The interfacial microstructure,phase composition,and shear strength of the resistance brazed joints were investigated by the relevant analysis method.Experiment results indicated that the order affecting the shear strength of the C/C-Cu joint was welding current,welding pressure,and welding time in turn.The shear strength of backward thermo-compensated RBW was higher than that of forward thermo-compensated RBW due to the Peltier effect.The maximum shear strength of the C/C-Cu joint was 11.56 MPa in the optimized welding parameter with welding current of 8.0 kA,welding time of 60 ms,and welding pressure of 0.10 MPa by backward thermo-compensated RBW.The interface structure at the resistance brazed joint with this welding parameter was C/C composites/TiC/Cu(s.s)/T2 copper.The TiC phase was verified at the interface of the brazed joint by Scanning Electron Microscope(SEM),Energy-Dispersive X-ray Spectrometer(EDS),and X-ray Diffraction(XRD).Considerable fractures occurred in the C/C composites and partial fracture occurred at the interfacial reaction layer.

关键词： AgCuTi C/C composites Copper Resistance Brazing welding Shear strength

Design of low-alloying and high-performance solid solution-strengthened copper alloys with element substitution for sustainable development

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 826-832页

作者： Jiaqiang Li Hongtao Zhang Jingtai Sun Huadong Fu Jianxin Xie Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory for Advanced Materials Processing(MOE) University of Science and Technology BeijingBeijing 100083China Beijing Laboratory of Metallic Materials and Processing for Modern Transportation University of Science and Technology BeijingBeijing 100083China Liaoning Academy of Materials Shenyang 110004China

Solid solution-strengthened copper alloys have the advantages of a simple composition and manufacturing process,high mechanical and electrical comprehensive performances,and low cost;thus,they are widely used in high-speed rail contact wires,electronic component connectors,and other devices.Overcoming the contradiction between low alloying and high performance is an important challenge in the development of solid solution-strengthened copper alloys.Taking the typical solid solution-strengthened alloy Cu-4Zn-1Sn as the research object,we proposed using the element In to replace Zn and Sn to achieve low alloying in this work.Two new alloys,Cu-1.5Zn-1Sn-0.4In and Cu-1.5Zn-0.9Sn-0.6In,were designed and prepared.The total weight percentage content of alloying elements decreased by 43%and 41%,respectively,while the product of ultimate tensile strength(UTS)and electrical conductivity(EC)of the annealed state increased by 14%and 15%.After cold rolling with a 90%reduction,the UTS of the two new alloys reached 576 and 627MPa,respectively,the EC was 44.9%IACS and 42.0%IACS,and the product of UTS and EC(UTS×EC)was 97%and 99%higher than that of the annealed state alloy.The dislocations proliferated greatly in cold-rolled alloys,and the strengthening effects of dislocations reached 332 and 356 MPa,respectively,which is the main reason for the considerable improvement in mechanical properties.

关键词： element substitution copper alloy solid solution strengthening microstructure and performance