Lan Luo¹, Yun Shen¹, Zuntao Gu², Linbing Wang¹, Shijian Sun^3,*

Journal of Psychology in Africa, Vol.35, No.5, pp. 713-721, 2025, DOI:10.32604/jpa.2025.066529 - 24 October 2025

Abstract This cross-sectional study examined how parenting styles influence college students’ romantic attitudes through para-social relationships. A total of 571 college students (females = 71.2%) completed the Short-form Parenting Style Scale, the Para-social Relationship Scale, and the Questionnaire on College Students’ View of Marriage and Love. Mediation was examined with bootstrap-corrected structural equation modelling (5000 resamples). Results indicated that maternal rejection (indirect effect β = −0.019, 95% CI = −0.055–−0.001, p < 0.05) and overprotection (indirect effect β = −0.02, 95% CI = −0.055–−0.001, p < 0.05) indirectly undermined college students’ marriage views by intensifying para-social relationships, whereas More >

Jiaqi Lu¹, Fang Wang^2,*

Journal of Psychology in Africa, Vol.35, No.5, pp. 651-659, 2025, DOI:10.32604/jpa.2025.066088 - 24 October 2025

Abstract This study explores parenting and family adjustment profile effects on toddler socioemotional competence by the underlying mechanisms of effortful control. Participants were Chinese parent caregivers (N = 448) of 448 toddlers aged 15–36 months. They completed measures of parenting and family adjustment, toddler socioemotional competence, and effortful control. Latent profile analysis (LPA) identified three family profiles—Strict-Detached, Constrained-Collaborative, and Harmonious-Aligned. These three profiles of parenting and family adjustment directly affect toddler socioemotional competence through variations in emotional support, discipline strategies, and parent–child interactions. Effortful control mediates this relationship of parenting and family adjustment and toddler socioemotional More >

Sheng Bi^1,2,*, Jiayan Wang¹, Dong Su¹, Hui Lu¹, Yu Zhang¹

Energy Engineering, Vol.122, No.10, pp. 4135-4151, 2025, DOI:10.32604/ee.2025.066735 - 30 September 2025

Abstract By comparing price plans offered by several retail energy firms, end users with smart meters and controllers may optimize their energy use cost portfolios, due to the growth of deregulated retail power markets. To help smart grid end-users decrease power payment and usage unhappiness, this article suggests a decision system based on reinforcement learning to aid with electricity price plan selection. An enhanced state-based Markov decision process (MDP) without transition probabilities simulates the decision issue. A Kernel approximate-integrated batch Q-learning approach is used to tackle the given issue. Several adjustments to the sampling and data… More >

Sen Yang¹, Jie Zhong¹, Boyu Gan¹, Yi Sun¹, Changming Bu¹, Mingtao Zhang¹, Jiehong Li^1,*, Yang Yu^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 2943-2967, 2025, DOI:10.32604/cmes.2025.067282 - 30 September 2025

Abstract Foam concrete is widely used in engineering due to its lightweight and high porosity. Its compressive strength, a key performance indicator, is influenced by multiple factors, showing nonlinear variation. As compressive strength tests for foam concrete take a long time, a fast and accurate prediction method is needed. In recent years, machine learning has become a powerful tool for predicting the compressive strength of cement-based materials. However, existing studies often use a limited number of input parameters, and the prediction accuracy of machine learning models under the influence of multiple parameters and nonlinearity remains unclear.… More >

José Luis Rodríguez-Lorenzo¹, Bohuslav Janoušek¹, Emilio Cervantes^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2649-2667, 2025, DOI:10.32604/phyton.2025.068936 - 30 September 2025

Abstract Grapevine is unique among crops because its domestication resulted not only in new morphological characteristics, but also in altered reproductive mechanisms. Viticulture involves a change from a dioecious to a hermaphroditic mating system, which makes the reproductive system more efficient. In consequence and the fact that it is one of the oldest and most economically important cultivated plants, Vitis vinifera could be defined as an over-domesticated species. Here we review some key aspects in viticulture. The main areas of interest have remained consistent throughout history, including the origin and characterisation of cultivars, resistance to environmental conditions,… More >

Jing Zhang, Liang Meng^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.011468

Abstract Shape memory alloys (SMA), with their unique phase transformation capability, can deform under external force and recover their original shape through a martensite-to-austenite phase transformation triggered by heating [1]. Utilizing this characteristic, SMA wires can be pre-stretched and fixed, generating internal stress during shape recovery, which increases the natural frequency of SMA wire structures [2]. This property is of significant importance in structural dynamics design. Based on this, structures incorporating SMA wires and SMA-reinforced plate structures can be designed to dynamically adjust their natural frequencies and control structural dynamic responses. Furthermore, the vibration modes of More >

Nouman Ahmad^*, Changsheng Zhang

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3321-3334, 2025, DOI:10.32604/cmc.2025.067044 - 23 September 2025

Abstract Source code vulnerabilities present significant security threats, necessitating effective detection techniques. Rigid rule-sets and pattern matching are the foundation of traditional static analysis tools, which drown developers in false positives and miss context-sensitive vulnerabilities. Large Language Models (LLMs) like BERT, in particular, are examples of artificial intelligence (AI) that exhibit promise but frequently lack transparency. In order to overcome the issues with model interpretability, this work suggests a BERT-based LLM strategy for vulnerability detection that incorporates Explainable AI (XAI) methods like SHAP and attention heatmaps. Furthermore, to ensure auditable and comprehensible choices, we present a… More >

Yingui Qiu¹, Enming Li^1,2,*, Pablo Segarra², Bin Xi³, Jian Zhou¹

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1607-1629, 2025, DOI:10.32604/cmes.2025.068211 - 31 August 2025

Abstract With the growing demand for sustainable development in the mining industry, cemented paste backfill (CPB) materials, primarily composed of tailings, play a crucial role in mine backfilling and underground support systems. To enhance the mechanical properties of CPB materials, fiber reinforcement technology has gradually gained attention, though challenges remain in predicting its performance. This study develops a hybrid model based on the adaptive equilibrium optimizer (adap-EO)-enhanced XGBoost method for accurately predicting the uniaxial compressive strength of fiber-reinforced CPB. Through systematic comparison with various other machine learning methods, results demonstrate that the proposed hybrid model exhibits… More >

Zongyu Jie^1,2, Chao Dang^1,2,*, Qingliang Meng ^3,4

Frontiers in Heat and Mass Transfer, Vol.23, No.4, pp. 1053-1089, 2025, DOI:10.32604/fhmt.2025.066792 - 29 August 2025

Abstract With the increasing miniaturization of systems and surging demand for power density, accurate prediction and control of two-phase flow pressure drop have become a core challenge restricting the performance of microchannel heat exchangers. Pressure drop, a critical hydraulic characteristic, serves as both a natural constraint for cooling systems and determines the power required to pump the working fluid through microchannels. This paper reviews the characteristics, prediction models, and optimization measures of two-phase flow pressure drop for low-boiling-point working fluids in microchannels. It systematically analyzes key influencing factors such as fluid physical properties, operating conditions, channel… More >

Junhui Hua¹, Junyuan Xiong², Bo Xu^1,*, Chong Wang¹, Qingyuan Wang¹

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 65-88, 2025, DOI:10.32604/cmc.2025.068226 - 29 August 2025

Abstract Shape memory alloys (SMAs) and shape memory ceramics (SMCs) exhibit high recovery ability due to the martensitic transformation, which complicates the fracture mechanism of SMAs and SMCs. The phase field method, as a powerful numerical simulation tool, can efficiently resolve the microstructural evolution, multi-field coupling effects, and fracture behavior of SMAs and SMCs. This review begins by presenting the fundamental theoretical framework of the fracture phase field method as applied to SMAs and SMCs, covering key aspects such as the phase field modeling of martensitic transformation and brittle fracture. Subsequently, it systematically examines the phase More >