Jingying Li¹, Tiejun Zhu¹, Fengming Li¹, Dong Wang¹, Xianbiao Bu², Lingbao Wang^2,*

Energy Engineering, Vol.118, No.3, pp. 517-534, 2021, DOI:10.32604/EE.2021.014464

Abstract The single well geothermal heating (SWGH) technology has attracted extensive attention. To enhance heat extraction from SWGH, a mathematical model describing heat transfer is set up, and the key influence factor and heat transfer enhancement method are discussed by thermal resistance analysis. The numerical results show that the thermal resistance of rock is far greater than that of well wall and fluid. So, reducing rock thermal resistance is the most effective method for enhancing the heat extraction power. For geothermal well planning to drill: rock thermal resistance can be reduced by increasing well diameter and rock thermal conductivity; the temperature… More >

Meng-Tse Lee^1,*, Ying-Chih Lai², Ming-Lung Chuang¹, Bo-Yu Chen¹

Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 227-240, 2021, DOI:10.32604/iasc.2021.015339

Abstract Unmanned Aerial Vehicles (UAV) are widely used in different fields of aviation today. The efficient delivery of packages by drone may be one of the most promising applications of this technology. In logistic UAV missions, due to the limited capacities of power supplies, such as fuel or batteries, it is almost impossible for one unmanned vehicle to visit multiple wide areas. Thus, multiple unmanned vehicles with well-planned routes become necessary to minimize the unnecessary consumption of time, distance, and energy while carrying out the delivery missions. The aim of the present study was to develop a multiple-vehicle mission dispatch system… More >

P. Pesante¹, K. Saavedra^2,*, G. Pincheira²

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 4061-4079, 2021, DOI:10.32604/cmc.2021.015268

Abstract This work proposes to study the effective elastic properties (EEP) of a wood-plastic composite (WPC) made from polyethylene terephthalate (PET) and Chilean Radiate pine’s wood flour, using finite element simulations of a representative volume element (RVE) with periodic boundary conditions. Simulations are validated through a static 3-point bending test, with specimens obtained by extruding and injection. The effect of different weight fractions, space orientations and sizes of particles are here examined. Numerical predictions are empirically confirmed in the sense that composites with more wood flour content and bigger size, have higher elastic modulus. However, these results are very sensitive to… More >

Ishaani Priyadarshini^1,*, Pinaki Ranjan Mohanty², Chase Cotton¹

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3229-3247, 2021, DOI:10.32604/cmc.2021.015250

Abstract Technological advancement has contributed immensely to human life and society. Technologies like industrial robots, artificial intelligence, and machine learning are advancing at a rapid pace. While the evolution of Artificial Intelligence has contributed significantly to the development of personal assistants, automated drones, smart home devices, etc., it has also raised questions about the much-anticipated point in the future where machines may develop intelligence that may be equal to or greater than humans, a term that is popularly known as Technological Singularity. Although technological singularity promises great benefits, past research works on Artificial Intelligence (AI) systems going rogue highlight the downside… More >

Adel Saad Assiri^*

Computer Systems Science and Engineering, Vol.36, No.3, pp. 435-450, 2021, DOI:10.32604/csse.2021.014894

Abstract Artificial neural networks (ANNs) are one of the hottest topics in computer science and artificial intelligence due to their potential and advantages in analyzing real-world problems in various disciplines, including but not limited to physics, biology, chemistry, and engineering. However, ANNs lack several key characteristics of biological neural networks, such as sparsity, scale-freeness, and small-worldness. The concept of sparse and scale-free neural networks has been introduced to fill this gap. Network sparsity is implemented by removing weak weights between neurons during the learning process and replacing them with random weights. When the network is initialized, the neural network is fully… More >

Samih M. Mostafa^1,2,*

Journal on Artificial Intelligence, Vol.2, No.4, pp. 189-215, 2020, DOI:10.32604/jai.2020.014944

Abstract Because of the abundance of clustering methods, comparing between methods and determining which method is proper for a given dataset is crucial. Especially, the availability of huge experimental datasets and transactional and the emerging requirements for data mining and the like needs badly for clustering algorithms that can be applied in various domains. This paper presents essential notions of clustering and offers an overview of the significant features of the most common representative clustering algorithms of clustering categories presented in a comparative way. More specifically the study is based on the numerical type of the data that the algorithm supports,… More >

Vinay Singh¹, Mohammed Alshehri^2,*, Alok Aggarwal³, Osama Alfarraj⁴, Purushottam Sharma⁵, K. R. Pardasani⁶

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2359-2371, 2021, DOI:10.32604/cmc.2021.013272

Abstract Software development is getting a transition from centralized version control systems (CVCSs) like Subversion to decentralized version control systems (DVCDs) like Git due to lesser efficiency of former in terms of branching, fusion, time, space, merging, offline commits & builds and repository, etc. Git is having a share of 77% of total VCS, followed by Subversion with a share of 13.5%. The majority of software industries are getting a migration from Subversion to Git. Only a few migration tools are available in the software industry. Still, these too lack in many features like lack of identifying the empty directories as… More >

Federica Dellafiore¹, Serena Francesca Flocco¹, Cristina Arrigoni², Serena Barello³, Tiziana Nania¹, Maria Giovanna Russo⁴, Berardo Sarubbi⁵, Arianna Magon¹, Francesco Pittella¹, Massimo Chessa⁶, Rosario Caruso^1,*

Congenital Heart Disease, Vol.15, No.3, pp. 167-180, 2020, DOI:10.32604/CHD.2020.012438

Abstract Aims: This study aimed at providing an Italian short version of the ‘healthcare needs scale for youth with congenital heart disease’ (I-HNS-CHD-s), describing its construct validity and reliability. Methods: A multi-method and multi-phase design were adopted. Phase one referred to the cultural-linguistic validation of the original scale into Italian. Phase two tasted content and face validity of the Italian-translated scale. Phase three included the psychometric validation process of scale, encompassed two different steps: first cross-sectional data collection (sample A) purposed at determining the psychometric characteristics of the I-HNS-CHD-s, using an exploratory factor analysis (EFA). Then, a second round of cross-sectional… More >

Rie Ueno^1,*, Darryl Maybery², Andrea Reupert³, Hirokazu Osada⁴

International Journal of Mental Health Promotion, Vol.22, No.2, pp. 59-69, 2020, DOI:10.32604/IJMHP.2020.011180

Abstract Children of parents with mental illness are more likely to experience mental health concerns, compared to other children in the community. Thus, it is important mental health professionals identify and intervene appropriately in these families. To develop professional development activities, practice guidelines and organizational supports, it is important to first identify those practices that professionals employ and do not employ. Accordingly, a Japanese version of the Family-Focused Mental Health Practice Questionnaire was developed. In the first instance, the Questionnaire was translated into Japanese and disseminated to mental health workers in various Japanese settings. Based on 212 participants’ data, exploratory factor… More >

Yan Liu^1,#, Zhihua Guo^1,#, Yun Ma¹, Hongyan Song¹, Xiaoqi Li¹, Ling Tan¹, Zhanjiang Li^1,*, Jing Sun^2,*

International Journal of Mental Health Promotion, Vol.22, No.2, pp. 39-57, 2020, DOI:10.32604/IJMHP.2020.011438

Abstract Cognitive behavioural therapy (CBT) is a first-line psychotherapy in Western countries, yet there have been limited studies examined the required skills based on perception of CBT therapists in the context of Western countries, and there has been no such research in China. Currently, there is no exist of a selfassessment scale to evaluate the required competence perceived by CBT therapists in China. This study used both qualitative and quantitative method to develop a self-assessment tool by CBT therapist to provide their perception about required skills in the treatment of mental disorders in China. Qualitative research used semistructured behavioural event interviews… More >