Xiangru He¹, Ying Deng¹, Zefu Li¹, Jie Zhi^1,2, Yonglin Chen^1,2, Weidong Yang^1,2,3,*, Yan Li^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012395

Abstract Coordinated control of structural accuracy and mechanical properties is the key to composites manufacturing and the prerequisite for aerospace applications. In particular, accurate and efficient prediction of curing-induced deformation (CID) is of vital importance for fiber reinforced polymer composites quality control. In this study, we explored a novel spatio-temporal prediction model, which incorporates the finite element method with a deep learning framework to efficiently forecast the curing-induced deformation evolution of composite structures. Herein, we developed an integrated convolutional neural network (CNN) and long short-term memory (LSTM) network approach to capture both the space-distributed and time-resolved… More >

Huixin Wei, Baopeng Liao^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012367

Abstract Friction behavior at soft-hard material interfaces plays a pivotal role in applications spanning biomedical devices, robotics, and tactile systems. While theoretical frameworks and experimental characterization methods have advanced, it is still difficult to unravel interfacial mechanisms. In this study, a theoretical model is firstly developed to predict static-to-sliding transitions by analyzing geometric evolution and stick-slip dynamics at soft material interfaces. The model quantitatively determines the threshold force for slip initiation, offering predictive insights into The sliding behavior of the interface. Second, an innovative tribometry platform is introduced, combining synchronized optical visualization, mechanical loading, and automated More >

Dayong Huang^1,2,*, Wenjun Wang^1,2, Xiaofu Tang^1,2, Pengfei Zhu³, Xianqiong Zhao^3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012063

Abstract Accurate prediction for the tensile properties (tensile modulus and strength) of injection molded fiber-reinforced thermoplastics (IMFT) plays an important role in the design of structures made with such composites. Based on the Laminate analogy approach (LAA), a unified distribution function (UDF) of tensile properties is derived by introducing the assumption that the fiber length distribution (FLD) and fiber orientation distribution (FOD) are independent of each other. The UDF of tensile properties is simplified by introducing the modified monotonic functions of fiber length and orientation factors (λL and λO). Compared with the tensile modulus and strength… More >

Zhenhao Zhang^1,*, Yong Tian^1,2, Yuanzhi Cao¹, Tao Chen¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010846

Abstract Accurate calculation of the failure probability of structural components was crucial for full-probability level structural design. However, current design codes typically use uniform design factors, which fail to accurately reflect the true failure probability of structures. In this paper, based on the direct probability integral method (DPIM) and combining different design parameter iterative calculation strategies, the full-probabilistic design methods for single-parameter and multi-parameter were proposed, and their accuracy advantages in structural reliability design were verified by engineering examples. Furthermore, this study compares the partial factor method, the design value method, the direct probability design method,… More >

N. Masood¹, A. M. Toufiq^2,*, S. Magam^3,4, S. M. W. Ali², M. T. Qureshi^3,*

Chalcogenide Letters, Vol.22, No.12, pp. 1047-1053, 2025, DOI:10.15251/CL.2025.2212.1047 - 08 December 2025

Abstract Self-assembled highly hierarchical novel SnS₂ microflowers having acute edge nanopetals have been fabricated using a facile template-free hydrothermal growth technique utilizing Tin (II) chloride dihydrate (SnCl₂·2H₂O) and Sodium sulfide nonahydrate (Na₂S·9H₂O) as reaction reagents. Morphological analysis exhibits the flower-type SnS₂ microarchitectures ranging from 4 to 7 μm. The vibrational mode measured at A_1g = 314 cm⁻¹ confirms the existence of hexagonal phase SnS₂ using Raman spectroscopy. The electrochemical results suggest the promise of as-synthesized SnS₂ structures as a cathodic material in lithium-sulfur batteries. More >

Sheng Lei^1,2,3, Guanglong Sheng^1,2,3,*, Hui Zhao^1,2,3

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 3011-3031, 2025, DOI:10.32604/fdmp.2025.073802 - 31 December 2025

Abstract This study investigates the unsteady flow characteristics of shale oil reservoirs during the depletion development process, with a particular focus on production behavior following fracturing and shut-in stages. Shale reservoirs exhibit distinctive production patterns that differ from traditional oil reservoirs, as their inflow performance does not conform to the classic steady-state relationship. Instead, production is governed by unsteady-state flow behavior, and the combined effects of the wellbore and choke cause the inflow performance curve to evolve dynamically over time. To address these challenges, this study introduces the concept of a “Dynamic IPR curve” and develops… More >

Yan Li^1,2,*, Yibin Wu^1,2, Bo Zhang^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2905-2925, 2025, DOI:10.32604/fdmp.2025.072979 - 31 December 2025

Abstract Traditional Computational Fluid Dynamics (CFD) simulations are computationally expensive when applied to complex fluid–structure interaction problems and often struggle to capture the essential flow features governing vortex-induced vibrations (VIV) of floating structures. To overcome these limitations, this study develops a hybrid framework that integrates high-fidelity CFD modeling with deep learning techniques to enhance the accuracy and efficiency of VIV response prediction. First, an unstructured finite-volume fluid–structure coupling model is established to generate high-resolution flow field data and extract multi-component time-series feature tensors. These tensors serve as inputs to a Squeeze-and-Excitation Convolutional Neural Network (SE-CNN), which… More >

Siti Rahayu Nadhiroh^1,*, Ira Nurmala², Iqbal Pramukti³, Kamolthip Ruckwongpatr⁴, Laila Wahyuning Tyas², Afina Puspita Zari², Warda Eka Islamiah¹, Yan-Li Siaw⁵, Marc N. Potenza^{6,7,8,9,10,11}, Chung-Ying Lin^{12,13,14,15,*}

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1847-1865, 2025, DOI:10.32604/ijmhp.2025.072115 - 31 December 2025

Abstract Objectives: Problematic use of the internet (PUI) has been increasingly associated with various mental health issues, highlighting the need for accurate assessment tools. The Assessment of Criteria for Specific Internet-use Disorder (ACSID-11) is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities. However, its applicability and validity have not yet been established within the Indonesian context. Therefore, this study aimed to translate and validate the ACSID-11 for use among Indonesian populations. Methods: The translation procedure of the ACSID-11 involved forward translation, back translation, and expert panel discussions. This research involved… More >

Wufan Jia¹, Seung Hee Yoo², Hye Eun Lee^3,*

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1897-1906, 2025, DOI:10.32604/ijmhp.2025.071572 - 31 December 2025

Abstract Background: With growing concerns about the abuse of prescription and over-the-counter (OTC) medications, such as medications for attention-deficit/hyperactivity disorder (ADHD), diet pills, and sleep aids, among adolescents in South Korea, this study aimed to investigated how these substances affect key aspects of adolescent well-being, specifically school satisfaction, body image, and sleep quality, and their association with mental health outcomes. Methods: A two-wave longitudinal survey was conducted with Korean female high school students (Wave 1: n = 494; Wave 2: n = 189). Linear regression analyses were used to evaluate the effects of ADHD medications, diet pills, and… More >

Luksamee Vittaya^1,*, Chakhriya Chalad¹, Sittichoke Janyong², Nararak Leesakul³

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4091-4115, 2025, DOI:10.32604/phyton.2025.074891 - 29 December 2025

Abstract Calophyllum inophyllum is a tropical plant that could have useful medicinal properties for pharmaceutical and cosmetic applications. The present study extracted the flower, fruit, leaf, twig, and bark of the plant by maceration in different organic solvents. The correlation between bioactive compounds and their biological activities was investigated, with emphasis on their therapeutic relevance through in silico pharmacokinetic predictions using SwissADME. Qualitative and quantitative analyses were conducted to determine the total phenolic, flavonoid, and saponin contents of the extracts. Spectral analysis of the extracts revealed –OH, C=O, C=C, and C–H functional groups. The antioxidant activity of the… More > Graphic Abstract