Vina Eka Aristya¹, Sri Minarsih¹, Kristamtini¹, I Gusti Komang Dana Arsana¹, Samijan¹, Setyorini Widyayanti¹, Sodiq Jauhari¹, Arif Susila¹, Ni Wayan Trisnawati¹, I Ketut Mahaputra¹, I Nyoman Suyasa¹, Opik Mahendra², Supriyanta³, Gilang Wirakusuma³, Taufan Alam³, Taryono^3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2055-2073, 2025, DOI:10.32604/phyton.2025.065227 - 31 July 2025

Abstract Rice, as a primary commodity, needs to be increased in production while facing the sustainability challenges of limited land, water resources, and climate change. The demand for rice productivity was not enough to rely only on the fertile fields’ ability; it is necessary to consider the rainfed land potential. Cultivation in rainfed land involves biophysical pressure, low production, and limited access to superior varieties. Participatory rice breeding aimed to identify farmers’ trait preferences and develop acceptable lines. A bottom-up approach involved 203 farmers from four rainfed fields in Indonesia, i.e., Semarang-Central Java, Kulon Progo-Yogyakarta, Tabanan-Bali,… More >

Siyue Li^1,#,*, Tian Jin^2,#, Erfan Wang³, Ranting Tao⁴, Jiaxin Lu⁵, Kai Xi⁶

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2331-2353, 2025, DOI:10.32604/cmc.2025.066382 - 03 July 2025

Abstract In the era of exponential growth of digital information, recommender algorithms are vital for helping users navigate vast data to find relevant items. Traditional approaches such as collaborative filtering and content-based methods have limitations in capturing complex, multi-faceted relationships in large-scale, sparse datasets. Recent advances in Graph Neural Networks (GNNs) have significantly improved recommendation performance by modeling high-order connection patterns within user-item interaction networks. However, existing GNN-based models like LightGCN and NGCF focus primarily on single-type interactions and often overlook diverse semantic relationships, leading to reduced recommendation diversity and limited generalization. To address these challenges,… More >

Alexey Melkikh^1,2, Sergey Rutin², Dmitrii V. Antonov³, Pavel Skripov^2,*

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 721-737, 2025, DOI:10.32604/fhmt.2025.066528 - 30 June 2025

Abstract The article considers a relaxation of the water/polypropylene glycol-425 solution with a lower critical solution temperature (LCST) following its pulsed superheating concerning liquid-liquid and liquid-vapor equilibrium lines, as well as the liquid-liquid spinodal. Superheating was performed using the pulsed heat generation method in a micro-sized wire probe. The main heating mode was the constant (over the pulse length) power mode. Characteristic heating rates ranged from 0.05 × 10⁵ to 2 × 10⁵ K/s, while the degree of superheating concerning the spinodal was up to 200 K. The temperature of spontaneous boiling-up and the amplitude of the… More > Graphic Abstract

Xin Liu^1,*, Zimeng Chen²

Journal of Psychology in Africa, Vol.35, No.2, pp. 257-263, 2025, DOI:10.32604/jpa.2025.065782 - 30 June 2025

Abstract This study examined how perceived human-computer interaction (HCI) is related to employees’ helping behaviors with role breadth self-efficacy and digital fluency. An online scenario experiment (study 1; female = 61.3%; mean age = 30.79 years; bachelor’s degree = 68.7%) and a questionnaire survey (study 2; male = 44.2%; younger than 30 years = 50.6%; bachelor’s degree = 61.5%) found that perceived HCI exerts a significant positive indirect effect on employee helping behavior through improved role breadth self-efficacy. This positive indirect effect is stronger when employee digital fluency is high. Findings are consistent with social cognitive More >

Lucas Leal Lima¹, Angélica Souza Gouveia¹, Analice Martins Duarte¹, Filipe Schitini Salgado², Nathália Silva Oliveira¹, Monique da Silva Bonjour¹, Iana Pedro da Silva Quadros¹, Maria Goreti Almeida Oliveira¹, Flavia Maria Silva Carmo², Elizabeth Pacheco Batista Fontes¹, Humberto Josué de Oliveira Ramos^1,3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1787-1810, 2025, DOI:10.32604/phyton.2025.064068 - 27 June 2025

Abstract Sound contains mechanical signals that can promote physiological and biochemical changes in plants. Insects produce different sounds in the environment, which may be relevant to plant behavior. Thus, we evaluated whether signaling cascades are regulated differently by ecological sounds and whether they trigger molecular responses following those produced by herbivorous insects. Soybean plants were treated with two different sounds: chewing herbivore and forest ambient. The responses were markedly distinct, indicating that sound signals may also trigger specific cascades. Enzymes involved in oxidative metabolism were responsive to both sounds, while salicylic acid (SA) was responsive only… More >

Yujie Li¹, Zhongju Feng^1,*, Fuchun Wang¹, Jiang Guan², Xiaoqian Ma³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1549-1573, 2025, DOI:10.32604/cmes.2025.064785 - 30 May 2025

Abstract To study the dynamic response rules of pile foundations of mega-bridges over faults in strong seismic areas, a finite element model of the pile foundation-soil-fault interaction of the Haiwen Bridge is established. The 0.2–0.6 g peak acceleration of the 5010 seismic waves is input to study the effect of the seismic wave of different intensities and the distance changes between the fault and the pile foundation on the dynamic response of the pile body. The results show that the soil layer covering the bedrock amplifies the peak pile acceleration, and the amplifying effect decreases with… More >

Hua Zhang, Ganghua Li^*

Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1367-1399, 2025, DOI:10.32604/phyton.2025.064632 - 29 May 2025

Abstract Soil naturally contains various heavy metals, however, their concentrations have reached toxic levels due to excessive agrochemical use and industrial activities. Heavy metals are persistent and non-biodegradable, causing environmental disruption and posing significant health hazards. Microbial-mediated remediation is a promising strategy to prevent heavy metal leaching and mobilization, facilitating their extraction and detoxification. Nickel (Ni), being a prevalent heavy metal pollutant, requires specific attention in remediation efforts. Plants have evolved defense mechanisms to cope with environmental stresses, including heavy metal toxicity, but such stress significantly reduces crop productivity. Beneficial microorganisms play a crucial role in… More > Graphic Abstract

Bo Yang^1,*, Zhe Jiang¹, Jianfeng Wen², Ning Yang³, Kaiping Qu⁴, Shuai Zhou⁵

Energy Engineering, Vol.122, No.6, pp. 2187-2195, 2025, DOI:10.32604/ee.2025.065489 - 29 May 2025

Abstract This article has no abstract. More >

Jun-Jie Yang¹, Ran An¹, Jing-Heng Nie¹, Hao-Miao Ma¹, Yu-Qing Yan¹, Yuan-Ru Guo^1,*, Qing-Jiang Pan^2,*

Journal of Renewable Materials, Vol.13, No.5, pp. 885-900, 2025, DOI:10.32604/jrm.2025.02024-0066 - 20 May 2025

Abstract To achieve the sustainable development and carbon neutral target, biomass chitosan (CS) was used to prepare N,S-doped biochar (NSB) with the assistance of sodium dodecyl benzene sulfonate (SDBS). The synthetic route was developed, which does not require the activation that is frequently-used for active carbon materials. By manipulating their interaction, SDBS was deposited with CS in neutral and basic conditions. Subsequent calcination successfully has access to NSB. It features with hierarchical porous structure and abundant functional groups. The dually-doped NSB bears excellent adsorption performance towards chlortetracycline (CTC). The adsorption capacity reaches 101.3 mg g⁻¹ within 4 More >

Jiawei Shi^1,2,3,#, Zhen Wang^1,2,3,#, Ying Bai^1,2,3, Shiying Li^1,2,3, Xin Zhang^1,2,3, Tianshu Liu^1,2,3, Liu Hong^1,2,3, Li Cui^1,2,3, Yi Zhang^1,2,3, Jing Ma^1,2,3, Juanjuan Liu^1,2,3, Jing Zhang^1,2,3, Haiyan Cao^1,2,3,*, Jing Wang^1,2,3,*

Congenital Heart Disease, Vol.20, No.2, pp. 213-229, 2025, DOI:10.32604/chd.2025.064950 - 30 April 2025

Abstract Background: Tetralogy of Fallot (TOF), the predominant cyanotic congenital heart defect, arises from multifactorial gene-environment interactions disrupting cardiac developmental networks. This study investigated TOF-specific transcriptional alterations and identified high-confidence candidate genes. Methods: Based on GSE36761 transcriptome data, a weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network were conducted to identify TOF-related sub-network and Hub genes. The potential biological functions among these genes were revealed by enrichment analysis. Genetic, epigenetic and transcriptional alteration in the Hub genes were analyzed with leveraged public resources: a methylation dataset (GSE62629) and two single-cell datasets (EGAS00001003996 and GSE126128). Results:… More >