Adel Saad Assiri^*

Computer Systems Science and Engineering, Vol.36, No.3, pp. 435-450, 2021, DOI:10.32604/csse.2021.014894 - 18 January 2021

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, 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 - 28 December 2020

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… More >

Xingliang Feng^*1, Meng Zhang^*†1, Jialin Meng^*, Yongqiang Wang^†, Yi Liu^*, Chaozhao Liang^*, Song Fan^*

Oncology Research, Vol.28, No.3, pp. 285-297, 2020, DOI:10.3727/096504020X15791676105394

Abstract We aimed to investigate the potential mechanisms of progression and identify novel prognosis-related biomarkers for papillary renal cell carcinoma (PRCC) patients. The related data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by weighted gene coexpression network analysis (WGCNA). The correlation between each module and the clinical traits were analyzed by Pearson’s correlation analysis. Pathway analysis was conducted to reveal potential mechanisms. Hub genes within each module were screened by intramodule analysis, and visualized by Cytoscape software. Furthermore, important hub genes were validated in an external dataset and clinical samples. A total… More >

Samih M. Mostafa^1,2,*

Journal on Artificial Intelligence, Vol.2, No.4, pp. 189-215, 2020, DOI:10.32604/jai.2020.014944 - 31 December 2020

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 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 - 15 July 2020

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… 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 - 16 June 2020

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… 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 - 16 June 2020

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… More >

Nachiketh Soodana-Prakash¹, R. Patricia Castillo², Isildinha M. Reis^3,4, Radka Stoyanova^3,5, Deukwoo Kwon³, Maria C. Velasquez², Bruno Nahar¹, Pratik Kannabur¹, Taylor A. Johnson¹, Sanjaya K. Swain^1,3, Natalie Ben-Yakar¹, Vivek Venkatramani¹, Chad Ritch^1,3, Ramgopal Satyanarayana^1,3, Mark L. Gonzalgo^1,3, Dipen J. Parekh^1,3, Leonardo Bittencourt⁶, Sanoj Punnen^1,3

Canadian Journal of Urology, Vol.26, No.3, pp. 9763-9768, 2019

Abstract Introduction: To assess the secondary sequence rule in The Prostate Imaging Reporting Data System (PI-RADS) version 2 by comparing the detection of Grade group 1+ (GG1+) and 2+ (GG2+) cancers in PI-RADS 3, an upgraded PI-RADS 4, and true (non-upgraded) PI-RADS 4 targets.
Materials and methods: We analyzed a total of 589 lesions scored as PI-RADS 3 or 4 obtained from 434 men who underwent mpMRI-US fusion biopsy from September 2015 to November 2017 for evaluation of GG1+ and GG2+ prostate cancer. PI-RADS 4 lesions were differentiated into those that were “upgraded” to PI-RADS 4 based on… More >

L. Anna Gowsalya^a , P.D. Jeyakumar^b,*, R. Rajaraman^c,†, R. Velraj^d

Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-7, 2019, DOI:10.5098/hmt.12.21

Abstract Solidification of casting is a complex phenomenon which requires accurate input to simulate for real time applications. Interfacial heat transfer coefficient (IHTC) is an important input parameter for the simulation process. The IHTC is varying with respect to time during solidification and the exact value is to be given as input for the accurate simulation of the casting process. In this work an attempt is made to estimate the IHTC during solidification of spherical shaped aluminum alloy component with sand mould. The mould surface heat flux and mould surface temperatures are estimated by inverse control More >

Yong Li^1,*, Joel P. Conte², Philip E. Gill³

CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.3, pp. 517-543, 2019, DOI:10.32604/cmes.2019.06269

Abstract In the field of earthquake engineering, the advent of the performance-based design philosophy, together with the highly uncertain nature of earthquake ground excitations to structures, has brought probabilistic performance-based design to the forefront of seismic design. In order to design structures that explicitly satisfy probabilistic performance criteria, a probabilistic performance-based optimum seismic design (PPBOSD) framework is proposed in this paper by extending the state-of-the-art performance-based earthquake engineering (PBEE) methodology. PBEE is traditionally used for risk evaluation of existing or newly designed structural systems, thus referred to herein as forward PBEE analysis. In contrast, its use… More >