Yi Yan^1,2,#, Min He^1,2,#, Feifeng Mao³, Xinyu Zhang⁴, Liyu Wang⁵, Jingwei Li^1,2,*

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.069166

Abstract Houttuynia cordata, a characteristic edible and medicinal plant in southwestern China, is prone to absorbing lead (Pb²⁺). Excessive consumption may lead to Pb²⁺ accumulation in the human body, which has been linked to serious health risks such as neurotoxicity, kidney damage, anemia, and developmental disorders, particularly in children. Therefore, the development of molecular markers associated with Pb²⁺ uptake and the investigation of the plant’s physiological responses to Pb²⁺ pollution are of great significance. In this study, 72 H. cordata germplasms were evaluated for Pb²⁺ accumulation after exogenous Pb²⁺ treatment. A significant variation in Pb²⁺ content was observed among the germplasms, indicating… More >

Ahmed Mahmoud Ismail^1,*, Eman Said Elshewy², Ayman Y. Ahmed³, Hossam M. Darrag⁴

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.067444

Abstract Powdery mildew of cucumber (Cucumis sativus L.) is a destructive disease caused by Podosphaera xanthii (Castagne) U.Braun & Shishkoff. This study aimed to investigate the antifungal effect of extracts of Ulva lactuca, Spirulina platensis, and Nostoc muscorum against P. xanthii and to improve the physiological and morphological traits of cucumber under commercial greenhouse conditions. The chemical composition of the individual extracts from U. lactuca, S. platensis, and N. muscorum was analyzed utilizing High-performance Liquid Chromatography (HPLC) and Gas Chromatography/Mass spectrometry (GC/MS). Cucumber plants were sprayed twice with 5% of the crude extracts of U. lactuca, S. platensis, and N. muscorum and their mixture (U. lactuca, S. platensis, and N. muscorum).… More >

Ruiqian Li^1,*, Peibing Zheng¹, Mengxin Yan¹, Xinyi Zhou², Ziyu Wu¹, Yiting Wang¹

Journal of Psychology in Africa, DOI:10.32604/jpa.2025.069421

Abstract This study examined the relationship between paternal overprotective parenting and problem behaviors of preschool children, and maternal overprotective attitudes and parenting stress mediation of that relationship. Data were collected from 265 families, including parents and preschool children (ages 3–6). The results revealed that paternal overprotective attitudes significantly influenced maternal overprotective attitudes and maternal parenting stress. Maternal overprotective attitudes, in turn, increased maternal parenting stress, exacerbated children’s problem behaviors. Paternal overprotective attitudes indirectly contributed to these behaviors through both maternal overprotective attitudes and parenting stress. The effect was more pronounced on boy than girl younger than More >

Huazhe Wan¹, Wenying Huang², Wen Zhang², Chang Hu^2,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.070457

Abstract Background: Social anxiety is prevalent among adolescents and severely impacts their mental health and social functioning. This study aims to explore the underlying mechanisms and subgroup differences in adolescent social anxiety to provide a theoretical basis for targeted interventions. Methods: 3025 Chinese adolescents (Mean_age = 13.91 ± 1.60 years; 47% male) completed self-report measures of physical activity, core self-evaluation, and social anxiety. Variable-centered analyses employed PROCESS Model 4 with 5000 bootstrap samples; covariates were gender, grade, and place of residence. Person-centered analyses used latent profile analysis in Mplus 8.3 to identify subgroups based on social anxiety… More >

Si-Yu Gao¹, Siu-Man Ng^2,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.068702

Abstract Background: Existing Chinese stigma scales focus on the perceptions of people with mental illness (PMI) without assessing the general public’s attitudes toward integrating PMI into the community. Developing a valid and reliable Chinese instrument measuring the attitude domain will be helpful to future research in this area. The current study aimed to validate a shortened Chinese version of the Community Attitudes towards the Mentally Ill Scale (C-CAMI-SF). Methods: Four hundred participants who are (1) Chinese; (2) aged 18 years and above; and (3) able to complete the Chinese questionnaire in a self-reported manner participated in… More >

Haiyan Yu^1,*, Mingdong Li¹, Ning Guo¹, Fengying Ren¹, Yongheng Lu¹, Mu Du^2,*

Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2025.071263

Abstract High-temperature radiative cooling is essential for solar absorbers, as it mitigates efficiency degradation resulting from thermal accumulation. While porous structures have proven effective in enhancing absorber performance, practical manufacturing processes and prolonged operational wear inevitably introduce surface roughness and structural deviations, which profoundly impact radiative properties. This study constructs a ZnS/Ag solar absorber model with surface roughness and employs the finite-difference time-domain method to investigate how characteristic length, surface roughness, porosity, pore shape factor, and taper influence its radiative properties in the 3 μm–5 μm band at 750 K. Results show optimal absorption at a More >

Noor Moneer Basher¹, Omar Rafae Alomar^1,*, Omar Mohammed Ali², Diyar Abdullah Ahmed³

Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2025.066997

Abstract The energy consumption of a Split air conditioning unit (ACU) inside a building is extremely large, and efforts to decrease this issue are ongoing. The current work aims to experimentally investigate the thermal performance of ACU using an external cooling-water loop for pre-cooling the condenser to improve the efficiency and to reduce energy consumption by reducing refrigerant temperature before entering the condenser, thereby reducing the coefficient of performance. The experiments are performed on ACU with and without using an external cooling-water loop under different climate conditions. By using the experimental data, the systems’ performances for… More >

Min Liu^1,*, Zhengxiong Lu^2,*

Energy Engineering, DOI:10.32604/ee.2025.071144

Abstract The accurate state of health (SOH) estimation in lithium-ion batteries represents a critical technological challenge with profound implications for electric vehicle performance and user experience. Precise SOH assessment not only enables reliable mileage prediction but also ensures operational safety. However, the complex and non-linear capacity fading process during battery cycling poses a challenge to obtaining accurate SOH. To address this issue, this study proposes an effective health factor derived from the local voltage range during the battery charging phase. First, the battery charging phase is divided evenly with reference to voltage intervals, and an importance… More >

Xue Zhang¹, Jie Chen^2,*, Zhihui Zhang³, Dewei Zhang³, Yuejiao Ming³, Xinde Zhang³

Energy Engineering, DOI:10.32604/ee.2025.069487

Abstract The integration of wind power and natural gas for hydrogen production forms a Green and Blue Hydrogen Integrated Energy System (GBH-IES), which is a promising cogeneration approach characterized by multi-energy complementarity, flexible dispatch, and efficient utilization. This system can meet the demands for electricity, heat, and hydrogen while demonstrating significant performance in energy supply, energy conversion, economy, and environment (4E). To evaluate the GBH-IES system effectively, a comprehensive performance evaluation index system was constructed from the 4E dimensions. The fuzzy DEMATEL method was used to quantify the causal relationships between indicators, establishing a scientific input-output… More >

Jiayun Ding, Bin Chen^*, Yutong Lei, Wei Zhang

Energy Engineering, DOI:10.32604/ee.2025.067574

Abstract In the field of low-carbon building systems, the combination of renewable energy and hydrogen energy systems is gradually gaining prominence. However, the uncertainty of supply and demand and the multi-energy flow coupling characteristics of this system pose challenges for its optimized scheduling. In light of this, this study focuses on electro-thermal-hydrogen trigeneration systems, first modelling the system’s scheduling optimization problem as a Markov decision process, thereby transforming it into a sequential decision problem. Based on this, this paper proposes a reinforcement learning algorithm based on deep deterministic policy gradient improvement, aiming to minimize system operating… More >