Zhuojia Fu^1,*, Qiang Xi², Wenzhi Xu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09393

Abstract In the past few decades, although traditional computational methods such as finite element have been successfully used in many scientific and engineering fields, they still face several challenging problems such as expensive computational cost, low computational efficiency, and difficulty in mesh generation in the numerical simulation of wave propagation under infinite domain, large-scale-ratio structures, engineering inverse problems and moving boundary problems. This paper introduces a class of collocation discretization techniques based on physical-informed kernel function (PIKF) to efficiently solve the above-mentioned problems. The key issue in the physical-informed kernel function collocation methods (PIKFCMs) is to construct the related basis functions,… More >

Alaa Omran Almagrabi^*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2079-2093, 2023, DOI:10.32604/cmc.2023.039683

Abstract A potential concept that could be effective for multiple applications is a “cyber-physical system” (CPS). The Internet of Things (IoT) has evolved as a research area, presenting new challenges in obtaining valuable data through environmental monitoring. The existing work solely focuses on classifying the audio system of CPS without utilizing feature extraction. This study employs a deep learning method, CNN-LSTM, and two-way feature extraction to classify audio systems within CPS. The primary objective of this system, which is built upon a convolutional neural network (CNN) with Long Short Term Memory (LSTM), is to analyze the vocalization patterns of two different… More >

Menglong Li^*, Yujia Ren

International Journal of Mental Health Promotion, Vol.25, No.9, pp. 1033-1039, 2023, DOI:10.32604/ijmhp.2023.028243

Abstract It has been confirmed in previous studies that there is a positive correlation between physical activity and hope. In this study, rural left-behind children in China was taken as the participants to investigate the impact of physical activity on hope in rural left-behind children and examine the mediating role of perceived social support in the relationship between physical activity and hope. 797 valid copies of the questionnaire were collected from China. Pearson correlation coefficient was employed to analyze the relationship between physical activity and hope; SEM and Bootstrap were used to test the mediating effect of perceived social support. The… More >

Xiaojie Cao¹, Qinyu Zhang², Xinqiao Liu^3,*

International Journal of Mental Health Promotion, Vol.25, No.9, pp. 1009-1018, 2023, DOI:10.32604/ijmhp.2023.029365

Abstract The relationship between physical activity time, openness and depression symptoms among adolescents is a cutting-edge research direction in the field, yet it remains unclear. This study is based on a sample of 7924 students from a nationally representative China Education Panel Survey database and examines the bidirectional relationships between physical activity time, openness and depression symptoms among Chinese adolescents. Descriptive analysis showed that during the 7th and 8th grades, the average physical activity time decreased to less than one hour per day, accompanied by a decreasing trend in openness and a slight worsening in depression symptoms. Correlation analysis showed a… More >

Jiepeng Yao^1,2, Zhanjia Peng^1,2, Jingjing Liu^1,2, Chengxiao Fan^1,2, Zhongyi Wang^1,2,3, Lan Huang^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2243-2265, 2023, DOI:10.32604/cmes.2023.028101

Abstract In the establishment of differential equations, the determination of time-varying parameters is a difficult problem, especially for equations related to life activities. Thus, we propose a new framework named BioE-PINN based on a physical information neural network that successfully obtains the time-varying parameters of differential equations. In the proposed framework, the learnable factors and scale parameters are used to implement adaptive activation functions, and hard constraints and loss function weights are skillfully added to the neural network output to speed up the training convergence and improve the accuracy of physical information neural networks. In this paper, taking the electrophysiological differential… More >

Jin Kuang¹, Jeffrey Jensen Arnett², Erle Chen³, Zsolt Demetrovics^4,5, Fabian Herold⁶, Rebecca Y. M. Cheung⁷, Daniel L. Hall⁸, Michaela Markwart⁸, Markus Gerber⁹, Sebastian Ludyga⁹, Arthur F. Kramer^10,11, Liye Zou^1,*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 937-948, 2023, DOI:10.32604/ijmhp.2023.029187

Abstract Emerging adulthood (EA) is a critical stage of life to develop and sustain a healthy lifestyle, which is also a time of vulnerability to poor physical and mental health outcomes. In this study, we conducted a path analysis (N = 1326) to examine associations among four dimensions of EA, levels of regular physical activity (PA), self-control, MPA tendency and irrational procrastination. Results found: 1) higher levels of PA predicted both MPA tendency (β = −0.08, 95% CI: −0.11 to −0.06, p < 0.001) and irrational procrastination (β = −0.01, 95% CI: −0.17 to −0.008, p < 0.01) indirectly via self-control;… More >

Yongbin Zhang^*

Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-4, 2019, DOI:10.5098/hmt.13.22

Abstract The power loss is calculated by a multiscale approach in the pressure driven mass transfer in a micro slit pore where there are the physical adsorbed layers respectively on the coupled walls and intermediate between them is a continuum fluid flow. The flow factor approach model for nanoscale flow is taken to simulate the flow of the adsorbed layer, and conventional hydrodynamic flow theory models the continuum fluid flow. The calculation shows that the adsorbed layer on the wall surface can have a very significant effect on the power loss in this multiscale mass transfer, and it can greatly reduce… More >

Hai-Dong Wanga , Zeng-Yuan Guo^a,*

Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-12, 2019, DOI:10.5098/hmt.13.20

Abstract The classical heat transfer theory is established on the empirical models of Fourier’s heat conduction law and Newton’s cooling law. Although the classical theory has been successfully used in a wide range of industrial engineering applications, it lacks deep understanding of the physical mechanisms for energy transport and analytical methodology based on solid mathematical and mechanical principles. The rapid development of modern science and technology challenges the traditional heat transfer theory in two aspects: (1) Fourier’s law of heat conduction is no longer valid under the ultra-fast laser heating or nanoscale conditions; (2) The optimization principle minimizing entropy generation is… More >

Firas Aziz Ali^a,*, Adnan M. Alsaffawi^b , Karam Hashim Mohammed^a

Frontiers in Heat and Mass Transfer, Vol.15, pp. 1-7, 2020, DOI:10.5098/hmt.15.21

Abstract The augmentation of the heat transfer in heat exchangers is one of the methods to increase efficiency of the system. The double tube heat exchanger is selected to many suitable techniques of heat transfer enhancement. In this study; the friction factor and heat transfer coefficient of double tube is evaluated experimentally. The Al₂O₃ nanoparticles dispersed in ethylene glycol (EG) with a diameter 50 nm and the weight concentration (0.1%, 0.3%, 0.5%, 0.7%, 1%) has been utilized. Then the effect of parallel current and counter current with different ranges of Reynolds number (10,000 to 30,000) on the friction factor and heat… More >

N. Govindaraj, A. K. Singh, Pankaj Shukla

Frontiers in Heat and Mass Transfer, Vol.15, pp. 1-8, 2020, DOI:10.5098/hmt.15.20

Abstract A numerical study of fluid flow over stretching sheet with temperature dependent properties has been performed induced by mixed convection. The significant variation of the Prandtl number and viscosity in the temperature is observed [see table 1]. Viscosity and Prandtl number are vary in inverse of the linear function. The physical problem modeled in the mathematical equations in dimension form, which is converted to the non-dimensional equations by applying similarity transformations and suitable boundary conditions. The mathematical modelling problem is transformed PDE’s are numerically solved using Quasilinearization technique and FDM. The current numerical data has been presented in terms of… More >