Haoyu Fu^1,2,3, Hua Liu^1,2, Xiaohu Hu^1,2, Lei Wang^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.027996

Abstract Well interference has become a common phenomenon with the increasing scale of horizontal well fracturing. Recent studies on well interference in horizontal wells do not properly reflect the physical model of the postfracturing well groups and the realistic fracturing process of infill wells. Establishing the correspondence between well interference causative factors and manifestations is of great significance for infill well deployment and secondary oil recovery. In this work, we develop a numerical model that considers low velocity non-Darcy seepage in shale reservoirs to study the inter-well interference phenomenon that occurs in the Santanghu field, and construct an explicit hydraulic fracture… More >

Mojtaba Kordrostami¹, Ali Akbar Ghasemi-Soloklui¹, Mohammad Anwar Hossain^2,*, Mohammad Golam Mostofa^3,4,*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.030372

Abstract Numerous plant species, particularly those that can accumulate selenium (Se) and silicon (Si), benefit from these essential micronutrients. Se and Si accumulation in plants profoundly affects several biochemical reactions in cells. Understanding how plants react to Se/Si enrichment is crucial for ensuring adequate dietary Se/Si intake for humans and animals and increasing plant tolerance to environmental stressors. Several studies have shown that Se/Si-enriched plants are more resistant to salinity, drought, extreme temperatures, UV radiation, and excess metalloids. The interplay between Se/Si in plants is crucial for maintaining growth and development under normal conditions while providing a critical defense mechanism against… More >

Jinghua Chen^1,#, Zihe Wang^2,#, Fabian Herold³, Alyx Taylor⁴, Jin Kuang¹, Ting Wang¹, Arthur F. Kramer^5,6, Liye Zou^1,*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.030539

Abstract A significant portion of emerging adults do not achieve recommended levels of physical activity (PA). Previous studies observed associations between features of emerging adulthood and PA levels, while the potential psychological mechanisms that might explain this phenomenon are not fully understood. In this context, there is some evidence that situated decisions toward physical activity (SDPA) and exercise-intensity tolerance might influence PA level. To provide empirical support for this assumption, the current study investigated whether (i) features of emerging adulthood are linked to SDPA, which, in turn, might affect PA engagement; (ii) exercise-intensity tolerance moderate the relationship between SDPA and PA… More >

Van-Son Huynh¹, Thanh-Thao Ly¹, My-Tien Nguyen-Thi^1,*, Xuan Thanh Kieu Nguyen², Gallayaporn Nantachai^3,4, Vinh-Long Tran-Chi¹

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.029235

Abstract Religion is one of the social entities that has had a significant impact on the pandemic. The study’s goals are to investigate the relationship between well-being and fear of COVID-19, as well as to test whether religious beliefs mediate the effect of wellbeing on fear of COVID-19. The sample comprised of 433 participants in Vietnam. Independent Sample t-Test, One-way ANOVA, mediation analysis were used to analyze the data. In the levels of well-being, individuals who engage in religious services daily have higher levels than those hardly and never attend, and people from the age of 18 to 30 have higher… More >

Amnart Boonloi¹, Withada Jedsadaratanachai^2,*

Frontiers in Heat and Mass Transfer, Vol., , DOI:10.32604/fhmt.2023.041547

Abstract Simulation of fluid-flow topology and thermal behavior in a round tube heat exchanger (RTHX) installed by three V-rib sets is reported. The expected phenomena for the rib installation are the generated vortex flow, impinging flow, greater fluid blending and thermal boundary layer disturbance (TBLD). These phenomena are key causes of the augmentation of heat transfer potentiality and thermal efficiency of the RTHX. Effects of rib height (b₁ = 0.05D – 0.25D and b₂ = 0.05D – 0.25D), rib pitch or rib spacing (P = D, 1.5D and 2D) and fluid directions (positive x (+x flow direction) and negative x (–x… More >

SHIMING YE^1,2,#, YUFENG ZHANG^3,#, TING LIU⁴, CONG WANG³, ZHENG YAN⁵, WANDONG SHE^2,*, HAIBING HUA^4,*

BIOCELL, Vol., , DOI:10.32604/biocell.2023.029333

Abstract Background: Despite its widespread therapeutic use and effectiveness, the underlying pharmacologic mechanisms of Wendan decoction (WDD) and how it works to treat sudden deafness (SD) remain unclear. In this study, the pharmacological mechanisms of WDD underlying SD were analyzed using network pharmacology and molecular docking. Methods: The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was employed to identify the active compounds and target genes of WDD, and genes associated with SD were screened on five databases. RGUI conducted Gene Ontology (GO) functional and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A compound-target network was… More >

Yaling Xu, Congjun Rao^*, Xinping Xiao, Fuyan Hu^*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.029023

Abstract As the banking industry gradually steps into the digital era of Bank 4.0, business competition is becoming increasingly fierce, and banks are also facing the problem of massive customer churn. To better maintain their customer resources, it is crucial for banks to accurately predict customers with a tendency to churn. Aiming at the typical binary classification problem like customer churn, this paper establishes an early-warning model for credit card customer churn. That is a dual search algorithm named GSAIBAS by incorporating Golden Sine Algorithm (GSA) and an Improved Beetle Antennae Search (IBAS) is proposed to optimize the parameters of the… More >

Jaimon Dennis Quadros¹, Sher Afghan Khan², Abdul Aabid^3,*, Muneer Baig³

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028925

Abstract The application of abruptly enlarged flows to adjust the drag of aerodynamic vehicles using machine learning models has not been investigated previously. The process variables (Mach number (M), nozzle pressure ratio (η), area ratio (α), and length to diameter ratio (γ )) were numerically explored to address several aspects of this process, namely base pressure (β) and base pressure with cavity (β_cav). In this work, the optimal base pressure is determined using the PCA-BAS-ENN based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for smooth flow of aerodynamic vehicles. Based on the identical dataset,… More >

Hassan Okasha^1,2, Mazen Nassar^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028783

Abstract In this paper, we introduce a new four-parameter version of the traditional Weibull distribution. It is able to provide seven shapes of hazard rate, including constant, decreasing, increasing, unimodal, bathtub, unimodal then bathtub, and bathtub then unimodal shapes. Some basic characteristics of the proposed model are studied, including moments, entropies, mean deviations and order statistics, and its parameters are estimated using the maximum likelihood approach. Based on the asymptotic properties of the estimators, the approximate confidence intervals are also taken into consideration in addition to the point estimators. We examine the effectiveness of the maximum likelihood estimators of the model’s… More >

Yu-Ming Chu¹, Sobia Sultana², Saima Rashid^3,*, Mohammed Shaaf Alharthi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.028771

Abstract Various data sets showing the prevalence of numerous viral diseases have demonstrated that the transmission is not truly homogeneous. Two examples are the spread of Spanish flu and COVID-19. The aim of this research is to develop a comprehensive nonlinear stochastic model having six cohorts relying on ordinary differential equations via piecewise fractional differential operators. Firstly, the strength number of the deterministic case is carried out. Then, for the stochastic model, we show that there is a critical number that can predict virus persistence and infection eradication. Because of the peculiarity of this notion, an interesting way… More >