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  • Open Access

    ARTICLE

    Study on Influencing Factors of Methane Production Efficiency of Microbial Electrolytic Cell with CO2 as Carbon Source

    Qifen Li, Yuanbo Hou*, Yongwen Yang, Liting Zhang, Xiaoxiao Yan

    Journal of Renewable Materials, Vol.11, No.8, pp. 3333-3350, 2023, DOI:10.32604/jrm.2023.027464 - 26 June 2023

    Abstract Reducing CO2 to produce methane through microbial electrolytic cell (MEC) is one of the important methods of CO2 resource utilization. In view of the problem of low methanogenesis rate and weak CO2 conversion rate in the reduction process, the flow field environment of the cathode chamber is changed by changing the upper gas circulation rate and the lower liquid circulation rate of the cathode chamber to explore the impact on the reactor startup and operation and products. The results showed that under certain conditions, the CO2 consumption and methane production rate could be increased by changing the… More >

  • Open Access

    REVIEW

    A Review of Research on Galvanic Corrosion of Aluminum Alloys

    Huixin Zhu, Mingzhe Leng*, Guofeng Jin*, Heyang Miao

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.7, pp. 1907-1923, 2023, DOI:10.32604/fdmp.2023.025416 - 08 March 2023

    Abstract When aluminum alloys are coupled with dissimilar materials, they often act as corrosion anodes and are suscepted to accelerated corrosion. Therefore, deepening our knowledge of such corrosion phenomena, related mechanisms, and elaborating new prediction model is of great theoretical and practical significance. In this paper, such mechanisms are explained from both macroscopic and microscopic points of view by considering several aspects such as the second phase particle type, grain size, and environmental ions. More specifically, different perspectives on such a problem are elaborated, which take into account: the properties of the coupling pair materials, geometrical… More >

  • Open Access

    ARTICLE

    Qualitative Exploration and Correction Strategies of the Criminal Psychological Mechanism of the Burglars

    Biqian Cheng1, Lulu Chen2, Bo Yang3,*

    International Journal of Mental Health Promotion, Vol.25, No.4, pp. 595-611, 2023, DOI:10.32604/ijmhp.2023.027321 - 01 March 2023

    Abstract In order to explore the criminal psychological mechanism of burglars, this study adopts the qualitative research method of grounded theory to conduct in-depth interviews with 41 burglars in two prisons in Jiangxi Province, China. Nvivo 11.0 was used to code-construct and qualitatively analyze the interview content in order to refine the influencing factors and psychological evolution process of burglary behavior. The findings revealed that (1) burglary risk factors include burglary cognition, burglary motivation, burglary decision-making, delinquent peers, burglary opportunity, and incomplete reformation. (2) There are three stages in the psychological evolution process of burglars: cognitive More > Graphic Abstract

    Qualitative Exploration and Correction Strategies of the Criminal Psychological Mechanism of the Burglars

  • Open Access

    ARTICLE

    An Extended Fuzzy-DEMATEL System for Factor Analyses on Social Capital Selection in the Renovation of Old Residential Communities

    Guoshuai Sun1,2,3, Xiuru Tang1, Shuping Wan2,*, Jiao Feng4

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1041-1067, 2023, DOI:10.32604/cmes.2022.021981 - 31 August 2022

    Abstract China has been promoting the renovation of old residential communities vigorously. Due to the financial pressure of the government and the sustainability of the renovation of old residential communities, public-private partnerships (PPP) have already gained attention. The selection of social capital is key to improving the efficiency of the PPP model in renovating old residential communities. In order to determine the influencing factors of social capital selection in the renovation of old residential communities, this paper aims to find an effective approach and analyze these factors. In this paper, a fuzzy decision-making and trial evaluation… More >

  • 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 - 18 July 2022

    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… 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 - 23 May 2022

    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… 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 - 19 April 2022

    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… 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 - 15 April 2022

    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… More >

  • 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 - 10 September 2021

    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… 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 - 20 August 2021

    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… More >

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