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  • Open Access

    ARTICLE

    Research on the Dissemination and Influencing Factors of Big Data and Artificial Intelligence Related Courses in Colleges and Universities-Taking MOOC as an Example

    Zhu Junyan1, Min Yuguo2, Li Yudi3, Chen Xiaoyu4,*, Zhou Yu5

    Journal on Artificial Intelligence, Vol.4, No.2, pp. 115-132, 2022, DOI:10.32604/jai.2022.030353

    Abstract The rapid development of information technologies such as artificial intelligence, Internet and big data has promoted the deep integration of technology and education, especially the rise of large-scale online courses, which provides a great opportunity for curriculum teaching reform in colleges and universities. At the same time, artificial intelligence, as a cutting-edge technology, has good development prospects and has become a popular professional course in colleges and universities, artificial intelligence technology has become the focus of subject education in many universities. The combination of online education and AI courses will also greatly enhance the enthusiasm of users and expand the… More >

  • Open Access

    ARTICLE

    Influencing Factors of Total Factor Energy Efficiency in Bohai Rim Region Based on DEA-Tobit Model

    Weifeng Gong1,3, Xiaohong Qi2, Chuanhui Wang1,*, Wenwen Li1,3, Yang Xu4

    Energy Engineering, Vol.119, No.4, pp. 1663-1679, 2022, DOI:10.32604/ee.2022.018886

    Abstract Bohai Rim region is an important economic development area and a large carbon emission area in China. It is of great significance to explore the total factor energy efficiency and its influencing factors for the low carbon transformation and high-quality development of the Bohai Rim region. Based on the total factor energy efficiency framework, the DDF-DEA model was used to calculate the total factor energy efficiency, and the internal and external differences of the total factor energy efficiency were further analyzed. The internal and external influencing factors were determined by ML index method and classical endogenous growth theory, and then… More >

  • Open Access

    ARTICLE

    Modeling and Experimental Study for Automotive Dry Clutch Sliding Noise

    Jiali Yu, Zhili Xiang, Defeng Zhang, Yubing Gong*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1653-1667, 2022, DOI:10.32604/cmes.2022.019280

    Abstract Automotive dry clutches have been found to produce a low frequency sliding noise in many applications, which challenges the ride comfort of vehicles. In order to study this clutch sliding noise, a detailed finite element model including both a pressure plate assembly and a driven plate assembly was developed. Based on this model, a complex eigenvalue analysis is performed in this research. The effect of several major factors on the clutch sliding noise, such as the coefficient of friction, the clamping force, the geometric imperfection of the friction plate, and the thermal deformation of the pressure plate, were investigated numerically.… More >

  • Open Access

    ARTICLE

    Influencing Factors Analysis of Rehabilitation for Patients with Spinal Cord Injury

    Min Rao1, Yufeng Li1,*, Hongye Liu2, Isabel Wang3, Yongjun Ren4

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 455-466, 2022, DOI:10.32604/iasc.2022.027694

    Abstract The aim of spinal cord injury rehabilitation is to increase the independent ability of patients, so that patients can return to society and live a creative life. Regaining independence living is the primary goal of rehabilitation. Rehabilitation of patients with spinal cord injury is a long and lengthy process, which needs comprehensive dimensions support from medical workers, family members, and social support. At present, medical institutions and researchers mainly focus on the level of physical recovery and the treatment of complications in patients with spinal cord injury and pay less attention to social factors during the rehabilitation treatment of patients.… More >

  • Open Access

    ARTICLE

    Fluidity Influencing Factor Analysis and Ratio Optimization of New Filling Slurry Based on the Response Surface Method

    Guanfeng Chang, Xinzhu Hua*, Xiao Liu, Chen Li, Enqian Wang, Bingjun Sun

    Journal of Renewable Materials, Vol.10, No.5, pp. 1439-1458, 2022, DOI:10.32604/jrm.2022.018607

    Abstract The filling mining method is important in realizing the green mining of mineral resources. Aiming at the problems of land resource occupation, environmental pollution, and rational utilization of coal-based solid wastes such as coal gangue, fly ash, and desulfurization gypsum, a new paste filling material was developed with coal gangue, fly ash, and desulfurization gypsum as raw materials. The microstructure of the raw materials was analyzed by XRD and SEM. Combined with the Box-Behnken experimental design, the effect of each component on the fluidity of the filling slurry was analyzed through the response surface analysis. The significance of each component… More > Graphic Abstract

    Fluidity Influencing Factor Analysis and Ratio Optimization of New Filling Slurry Based on the Response Surface Method

  • Open Access

    ARTICLE

    Aging Characteristics and Influencing Factors of the Sheds of Composite Insulators in Karst Regions of China

    Wei Zhao1, Miao Jiang2, Jun Dong1, Lee Li2,*

    Energy Engineering, Vol.118, No.6, pp. 1755-1766, 2021, DOI:10.32604/EE.2021.015467

    Abstract In recent years, more and more high-voltage overhead transmission lines were built passing through the karst regions in southwestern China. This type of special landform seems to have an adverse effect on the aging of the sheds of the line suspension composite insulators, which may lead to unexpected flashover and line tripping. In order to find out the particularity of the aging characteristics of insulators operating in the karst regions, samples in operation were selected from both the karst regions and the flatlands. Hydrophobicity, amount of surface contamination, and contaminant composition of the sheds were studied, then a comparison of… More >

  • Open Access

    ARTICLE

    Sentiment Analytics: Extraction of Challenging Influencing Factors from COVID-19 Pandemics

    Mahmoud Oglah Al Hasan Baniata*, Sohail Asghar

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 821-836, 2021, DOI:10.32604/iasc.2021.018612

    Abstract The advancement in electronic devices and communication technologies in social media have introduced major changes in today’s communication and people have accepted such communicational habits at a rapid pace. The changes involve the way people started interacting with each other, and modern mean of discovering new groups of people, and individuals with similar mindsets, mutual interests, and ideas to share with. As far as the communities are concerned, there are so many social drives (such as “Say No to Plastic”) that need to be discussed on a certain platform for their promotion. Although, it’s quit is challenging, but with the… More >

  • Open Access

    ARTICLE

    Analysis of Driving Factors of Natural Gas Consumption in China: Based on Regional Integration and LMDI Method

    Huiwen Xu*, Zhen Wang

    Energy Engineering, Vol.118, No.4, pp. 1027-1043, 2021, DOI:10.32604/EE.2021.015028

    Abstract In recent years, China has developed rapidly in terms of natural gas. Driven by regional economic integration, a regional natural gas market composed of neighboring provinces and cities has taken shape gradually, and it tends to grow toward the same direction in policy formulation, resource coordination, facility construction and market expansion. Based on the factors such as geographical location, economic conditions and natural gas consumption, this thesis tends to conduct a horizontal comparative analysis on the economic development conditions, natural gas consumption characteristics and natural gas pipeline network density of the three regions with obvious regional integration feature in China.… More >

  • Open Access

    ARTICLE

    Influencing Factors of Load Carrying Capacity and Cooperative Work Laws of Metro Uplift Piles

    Bo Liu1,*, Haoran Li1, Shuya Liu2

    Structural Durability & Health Monitoring, Vol.14, No.3, pp. 249-264, 2020, DOI:10.32604/sdhm.2020.06482

    Abstract The buoyancy of groundwater can reduce the foundation bearing capacity and cause the metro tunnels to float as a whole, which threatens the safety of structures seriously. Therefore, uplift piles are set up to improve the structural stability. In this paper, FLAC3D software is used to establish the calculation models of pile foundation. The bearing failure process of uplift piles was simulated to study the influencing factors on single pile load bearing capacity as well as the cooperative work laws of pile groups. The load-displacement curves of pile top under different length-diameter ratios, pile-soil interface characteristics and pile types are… More >

  • Open Access

    ARTICLE

    Analysis of Factors Affecting the Profits of Closed-Loop Supply Chain Members Under Different Subsidy Objects

    Jing-Hua Zhao1,†, Da-Lin Zeng2,*, Ting-Wei Zhou1,‡, Yan Hui3,§, Na Sun1,¶

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 127-139, 2020, DOI:10.32604/csse.2020.35.127

    Abstract Based on the research hypothesis in a fully competitive closed-loop supply chain for mixed recycling channels, different closed-loop supply chain pricing models are established for the government’s strategy of adopting different subsidies (consumers, retailers, manufacturers or third-party recyclers). In this work, we use game theory to establish a price formula, and identify the factors affecting the profit of five closed-loop supply chain members. Through solution verification, the sales channel pricing, the recycling channel pricing and the channel member profit change of the closed-loop supply chain under different subsidy objects are compared after changing only one influencing factor. By providing a… More >

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