检索结果-南通市图书馆

Evaluating the moderated-mediation effects of switchingcosts in the link between social capital and NPD performance

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 Management Science and Engineering 2024年第2期9卷 161-176页

作者： Yi Li Nelson Oly Ndubisi Gang Li Jinpeng Xu School of Economics&Management Xidian UniversityXi'anChina College of Business&Economics Qatar UniversityDohaQatar School of Management Xi'an Jiao Tong UniversityXi'anChina The State key lab for Manufacturing Systems Engineering Xi'anChina The key laboratory of the Ministry of Education for process control and Efficiency Projects Xi'anChina

In this study,we explore the causes and performance outcomes of switching costs in the context of new product development(NPD)from both the supplier and customer perspectives,and discuss the role that switching costs play as moderators and mediators in the relationship between social capital and NPD *** on data from 214 Chinese manufacturers,we employ the structural equation model to test our conceptual model and *** results indicate that relationship quality and customer involvement positively and negatively affect switching costs,respectively,and that switching costs negatively affect NPD *** costs mediate and moderate the relationship between social capital and NPD ***,switching costs significantly and positively moderate the relationship between relationship quality and NPD *** the other hand,switching costs insignificantly and negatively moderate the relationship between customer involvement and NPD *** theoretical and managerial implications of the findings are discussed.

关键词： Social capital New product development(NPD) Performance Switching costs Moderated mediation analysis China

Growth kinetics of titanium carbide coating by molten salt synthesis process on graphite sheet surface

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2024年第8期31卷 1858-1864页

作者： Xiaoyu Shi Chongxiao Guo Jiamiao Ni Songsong Yao Liqiang Wang Yue Liu Tongxiang Fan State key lab of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China

The synthesis of carbide coatings on graphite substrates using molten salt synthesis(MSS),has garnered significant interest due to its cost-effective *** study investigates the reaction process and growth kinetics involved in MSS,shedding light on key aspects of the *** involvement of Ti powder through liquid-phase mass transfer is revealed,where the diffusion distance and quantity of Ti powder play a crucial role in determining the reaction rate by influencing the C content gradient on both sides of the ***,the growth kinetics of the carbide coating are predominantly governed by the diffusion behavior of C within the carbide layer,rather than the chemical reaction *** analyze the kinetics,the thickness of the carbide layer is measured with respect to heat treatment time and temperature,unveiling a parabolic relationship within the temperature range of 700-1300℃.The estimated activation energy for the reaction is determined to be 179283 J·mol^(-1).These findings offer valuable insights into the synthesis of carbide coatings via MSS,facilitating their optimization and enhancing our understanding of their growth mechanisms and properties for various applications.

关键词： titanium carbide graphite molten salt kinetic analysis

Optimal Design of the Modular Joint Drive Train for Enhancing Cobot Load Capacity and Dynamic Performance

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2024年第3期37卷 26-40页

作者： Peng Li Zhenguo Nie Zihao Li Xinjun Liu Department of Mechanical Engineering Tsinghua UniversityBeijing 100084China State key laboratory of Tribology in Advanced Equipment Tsinghua UniversityBeijing 100084China Beijing key lab of Precision/Ultra-precision Manufacturing Equipments and control Tsinghua UniversityBeijing 100084China

Automation advancements prompts the extensive integration of collaborative robot(cobot)across a range of *** to the commonly used design approach of increasing the payload-to-weight ratio of cobot to enhance load capacity,equal attention should be paid to the dynamic response characteristics of cobot during the design process to make the cobot more *** this paper,a new method for designing the drive train parameters of cobot is ***,based on the analysis of factors influencing the load capacity and dynamic response characteristics,design criteria for both aspects are established for cobot with all optimization design criteria normalized within the design ***,with the cobot in the horizontal pose,the motor design scheme is discretized and it takes the joint motor diameter and gearbox speed ratio as optimization design ***,all the discrete values of the optimization objectives are obtained through the enumeration method and the Pareto front is used to select the optimal solution through multi-objective *** on the cobot design method proposed in this paper,a six-axis cobot is designed and compared with the commercial *** result shows that the load capacity of the designed cobot in this paper reaches 8.4 kg,surpassing the 5 kg load capacity commercial cobot which is used as a *** minimum resonance frequency of the joints is 42.70 Hz.

关键词： Multi-objective optimization Modular joint drive train design Load capacity Dynamic response performance

Data-driven casting defect prediction model for sand casting based on random forest classification algorithm

在线全文

学校读者我要写书评

暂无评论

China Foundry 2024年第2期21卷 137-146页

作者： Bang Guan Dong-hong Wang Da Shu Shou-qin Zhu Xiao-yuan Ji Bao-de Sun Shanghai key lab of Advanced High-Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State key lab of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240China Hefei Casting and Forging Factory of Anhui Heli Co. LtdHefei 230000China State key laboratory of Materials processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China

The complex sand-casting process combined with the interactions between process parameters makes it difficult to control the casting quality,resulting in a high scrap rate.A strategy based on a data-driven model was proposed to reduce casting defects and improve production efficiency,which includes the random forest(RF)classification model,the feature importance analysis,and the process parameters optimization with Monte Carlo *** collected data includes four types of defects and corresponding process parameters were used to construct the RF *** results show a recall rate above 90% for all *** Gini Index was used to assess the importance of the process parameters in the formation of various defects in the RF ***,the classification model was applied to different production conditions for quality *** the case of process parameters optimization for gas porosity defects,this model serves as an experimental process in the Monte Carlo method to estimate a better temperature *** prediction model,when applied to the factory,greatly improved the efficiency of defect *** show that the scrap rate decreased from 10.16% to 6.68%.

关键词： sand casting process data-driven method classification model quality prediction feature importance

Gene expression,transcription factor binding and histone modification predict leaf adaxial-abaxial polarity related genes

在线全文

学校读者我要写书评

暂无评论

Horticultural Plant Journal 2024年第4期10卷 971-982页

作者： Wei Sun Zhicheng Zhang Guusje Bonnema Xiaowu Wang Aalt Dirk Jan van Dijk State key laboratory of Vegetable Biobreeding Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijing 100081China Sino-Dutch Joint lab of Vegetable Genomics Beijing 100081China Bioinformatics Group Wageningen University and Research6708 PB Wageningenthe Netherlands Plant Breeding Wageningen University and Research6708 PB Wageningenthe Netherlands Biosystems Data analysis Swammerdam Institute for Life SciencesUniversity of Amsterdam1090 GE Amsterdamthe Netherlands

Leaf adaxial-abaxial(ad-abaxial)polarity is crucial for leaf morphology and function,but the genetic machinery governing this process remains *** uncover critical genes involved in leaf ad-abaxial patterning,we applied a combination of in silico prediction using machine learning(ML)and experimental analysis.A Random Forest model was trained using genes known to influence ad-abaxial polarity as ground *** expression data from various tissues and conditions as well as promoter regulation data derived from transcription factor chromatin immunoprecipitation sequencing(ChIP-seq)was used as input,enabling the prediction of novel ad-abaxial polarity-related genes and additional transcription *** to this,available and newly-obtained transcriptome data enabled us to identify genes differentially expressed across leaf ad-abaxial *** on these analyses,we obtained a set of 111 novel genes which are involved in leaf ad-abaxial *** explore implications for vegetable crop breeding,we examined the conservation of expression patterns between Arabidopsis and Brassica rapa using single-cell *** results demonstrated the utility of our computational approach for predicting candidate genes in crop *** findings expand the understanding of the genetic networks governing leaf ad-abaxial differentiation in agriculturally important vegetables,enhancing comprehension of natural variation impacting leaf morphology and development,with demonstrable breeding applications.

关键词： Machine learning Leaf polarity Arabidopsis thaliana Brassica rapa Transcription factor

Geographical origin identification of winter jujube(Ziziphus jujuba Dongzao')by using multi-element fingerprinting with chemometrics

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2024年第5期23卷 1749-1762页

作者： Xiabing Kong Qiusheng Chen Min Xu Yihui Liu Xiaoming Li Lingxi Han Qiang Zhang Haoliang Wan Lu Liu Xubo Zhao Jiyun Nie College of Horticulture Qingdao Agricultural University/Laboratory of Quality&Safety Risk Assessment for Fruit(Qingdao)Ministry of Agriculture and Rural Affairs/National Technology Centre for Whole Process Quality Control of FSEN Horticultural Products(Qingdao)/Qingdao Key Lab of Modern Agriculture Quality and Safety EngineeringQingdao 266109China Institute of Agricultural Product Quality Safety and NutritionTianjin Academy of Agricultural SciencesTianjin 300381China College of Food Science and Engineering Northwest A&F UniversityYangling 712100China

Winter jujube(Ziziphus jujuba'Dongzao')is greatly appreciated by consumers for its excellent quality,but brand infringement frequently occurs in the ***,we first determined a total of 38 elements in 167 winter jujube samples from the main winter jujube producing areas of China by inductively coupled plasma mass spectrometer(ICP-MS).As a result,16 elements(Mg,K,Mn,Cu,Zn,Mo,Ba,Be,As,Se,Cd,Sb,Ce,Er,Tl,and Pb)exhibited significant differences in samples from different producing *** linear discriminant analysis(LDA)and orthogonal projection to latent structures discriminant analysis(OPLS-DA)showed better performance in identifying the origin of samples than unsupervised principal component analysis(PCA).LDA and OPLS-DA had a mean identification accuracy of 87.84 and 94.64%in the testing set,*** using the multilayer perceptron(MLP)and C5.0,the prediction accuracy of the models could reach 96.36 and 91.06%,*** on the above four chemometric methods,Cd,Tl,Mo and Se were selected as the main variables and principal markers for the origin identification of winter ***,this study demonstrates that it is practical and precise to identify the origin of winter jujube through multi-element fingerprint analysis with chemometrics,and may also provide reference for establishing the origin traceability system of other fruits.

关键词： winter jujube multi-element fingerprint analysis chemometrics origin traceability

Fe-Ni-F electrocatalyst for enhancing reaction kinetics of water oxidation

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Structural Chemistry 2024年第2期43卷 60-65页

作者： Yi Zhang Biao Wang Chao Hu Muhammad Humayun Yaping Huang Yulin Cao Mosaad Negem Yigang Ding Chundong Wang School of Chemical Engineering and Pharmacy Key Laboratory of Green Chemical Process of Ministry of EducationKey Laboratory of Novel Reactor and Green Chemical Technology of Hubei ProvinceWuhan Institute of TechnologyWuhan430073PR China Energy Waterand Environment LabCollege of Humanities and SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia School of Integrated Circuits Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430074PR China Physics laboratory Industrial Training CenterShenzhen Polytechnic UniversityShenzhen518055PR China Chemistry Department Faculty of ScienceFayoum UniversityFayoum63514Egypt

Highly active and low-cost oxygen evolution reaction(OER)catalytic electrodes are extremely essential for exploration of green hydrogen via water ***,an advanced Fe-Ni-F electrocatalyst is fabricated by a facile annealing strategy using ammonium fluoride,of which the structure feature is unveiled by XRD,FESEM,TEM,EDS,BET,and XPS *** as-prepared Fe-Ni-F addresses a low overpotential of 277 mV and a small Tafel slope of 49 mV dec^(-1)at a current density of 10 mA cm^(-2),significantly outperforming other control samples as well as the state-of-the-art RuO_(2).The advanced nature of our Fe-Ni-F catalyst could also be further evidenced from the robust stability in KOH alkaline solution,showing as 5.41%degradation after 24 h continuous *** analysis,it suggests that the decent catalytic activity should be attributed to the formed bimetallic(oxy)hydroxides because of the introduction of fluoride and the synergistic effect of iron and nickel towards oxygen *** work represents the potential of Fe-and/or Ni-based fluoride as efficient catalyst for low-energy consumption oxygen generation.

关键词： Fluoride Oxygen evolution reaction Fe-Ni-F Reaction kinetics

Designed imidazole-based supramolecular catalysts for accelerating oxidation/hydrolysis cascade reactions

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2024年第6期17卷 4916-4923页

作者： Yuanxi Liu Wenjie Xu Shichao Xu Haifeng Wu Baoli Zhang Li Song Zhen-Gang Wang State key laboratory of Organic-Inorganic Composites Key Lab of Biomedical Materials of Natural Macromolecules(Ministry of Education)Beijing Laboratory of Biomedical MaterialsCollege of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029China National Synchrotron Radiation laboratory CAS Center for Excellence in NanoscienceUniversity of Science and Technology of ChinaHefei 230029China

Reconstructing enzymatic active sites presents a significant challenge due to the intricacies involved in achieving enzyme-like scaffold folding and spatial arrangement of essential functional *** is also a growing interest in building biocatalytic networks,wherein multiple enzymatic active sites are localized within a single artificial system,allowing for cascaded *** this work,we report the self-assembly of imidazole or its derivatives with fluorenylmethyloxycarbonyl-modified histidine and Cu2+to fabricate a supramolecular catalyst,which possesses catechol oxidase-like dicopper center with multiple imidazole as the coordination *** electron microscopy,low-temperature X-band continuous-wave electron paramagnetic resonance,K-edge X-ray absorption spectra/the extended X-ray absorption fine structure analysis,and density functional theory modeling were used for the structural characterization of the *** phenol derivatives and the dissolved oxygen were used as the substrates,with the addition of 4-aminoantipyrine to generate a red adduct with a maximum absorbance at 510 nm,for obtaining time-dependent absorbance change curves and estimating the *** results reveal that the addition of imidazole synergistically accelerates the oxidative activity about 10-fold and the hydrolysis activity about 14-fold than fluorenylmethyloxycarbonyl modified-histidine/Cu2+.The supramolecular nanoassembly also exhibits the ability to catalyze oxidation/hydrolysis cascade reactions,converting 2′,7′-dichlorofluorescin diacetate into 2′,7′-*** process can be regulated through the methylation of the imidazole component at various *** work may contribute to the design of advanced biomimetic catalysts,and shed light on early structural models of the active sites of the primitive copper-dependent enzymes.

关键词： enzyme mimic self-assembly supramolecular catalyst cascade reactions

Electrocatalytic CO_(2) reduction to C_(2)H_(4): From lab to fab

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 Energy Chemistry 2024年第3期90卷 540-564,I0012页

作者： Zeyu Guo Fabao Yang Xiaotong Li Huiwen Zhu Hainam Do Kam Loon Fow Jonathan D.Hirst Tao Wu Qiulin Ye Yaqi Peng Hao Bin Wu Angjian Wu Mengxia Xu Department of Chemical and Environmental Engineering and New Materials InstituteUniversity of Nottingham Ningbo ChinaNingbo 315100ZhejiangChina key laboratory of Carbonaceous Waste processing and process Intensification of Zhejiang Province University of Nottingham Ningbo ChinaNingbo 315100ZhejiangChina Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute University of Nottingham Ningbo ChinaNingbo 315100ZhejiangChina State key laboratory of Clean Energy Utilization Department of Energy EngineeringZhejiang UniversityHangzhou 310027ZhejiangChina Institute for Composites Science Innovation(InCSI)and State key laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027ZhejiangChina School of Chemistry University of NottinghamUniversity ParkNottingham NG72RDUK Baima Lake laboratory Hangzhou 310053ZhejiangChina

The global concerns of energy crisis and climate change,primarily caused by carbon dioxide(CO_(2)),are of utmost ***,the electrocatalytic CO_(2) reduction reaction(CO_(2)RR) to high value-added multi-carbon(C_(2+)) products driven by renewable electricity has emerged as a highly promising solution to alleviate energy shortages and achieve carbon *** these C_(2+) products,ethylene(C_(2)H_(4))holds particular importance in the petrochemical ***,this review aims to establish a connection between the fundamentals of electrocatalytic CO_(2) reduction reaction to ethylene(CO_(2)RRto-C_(2)H_(4)) in laboratory-scale research(lab) and its potential applications in industrial-level fabrication(fab).The review begins by summarizing the fundamental aspects,including the design strategies of high-performance Cu-based electrocatalysts and advanced electrolyzer ***,innovative and value-added techniques are presented to address the inherent challenges encountered during the implementations of CO_(2)RR-to-C_(2)H_(4) in industrial ***,case studies of the technoeconomic analysis of the CO_(2)RR-to-C_(2)H_(4) process are discussed,taking into factors such as costeffectiveness,scalability,and market *** review concludes by outlining the perspectives and challenges associated with scaling up the CO_(2)RR-to-C_(2)H_(4) *** insights presented in this review are expected to make a valuable contribution in advancing the CO_(2)RR-to-C_(2)H_(4) process from lab to fab.

关键词： CO_(2) electroreduction reaction Ethylene Gas diffusion electrode Machine learning Density functional theory Techno-economic analysis