Xuesong Xing¹, Li Wang¹, Guangai Wu¹, Chengyong Peng^1,2,3, Yanan Hou¹, Jingyu Zi¹, Biao Yin^2,3,*

Energy Engineering, Vol.122, No.7, pp. 2911-2930, 2025, DOI:10.32604/ee.2025.065384 - 27 June 2025

Abstract Hydraulic fracturing, an effective method for enhancing coal seam productivity, largely determines coalbed methane (CBM) production, which is significantly influenced by geological and engineering factors. This study focuses on the L block to investigate the mechanisms influencing efficient fracture propagation and enhanced stimulated reservoir volume (SRV) in fracturing. To explore the mechanisms influencing effective fracture propagation and enhanced SRV, the L block was selected as the research object, with a comprehensive consideration of geological background, reservoir properties, and dynamic production data. By combining the discrete lattice method with numerical analysis and true triaxial experimental simulation,… More >

Zichen Li^1,#, Jukui Ma^2,#, Minjun Liu³, Guowei Geng^1,*, Hongxia Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1841-1856, 2025, DOI:10.32604/phyton.2025.066148 - 27 June 2025

Abstract Sweet potatoes are significant cash crops, however, their yield and quality are greatly compromised by viral diseases. In this study, the complete genomic sequences of two Sweet Potato Virus 2 (SPV2) isolates from infected sweet potato leaves in the Shandong (designated as SPV2-SDYT, GenBank No. PQ855660.1) and Jiangsu (designated as SPV2-JSXZ, GenBank No. PQ855661.1) provinces in China were obtained using 5^′ RACE and RT-PCR amplification. Consistency, phylogeny, codon usage bias, recombination, and selection pressure analyses were conducted using the SPV2-SDYT and SPV2-JSXZ genome sequences. The complete genome sequences of SPV2-SDYT and SPV2-JSXZ were 10561 nucleotides (nt)… More >

Yuhe Wang^1,2, Haijun Sun³, Yaqiong Hao^2,4, Xiancan Zhu¹, Ju Min^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1735-1750, 2025, DOI:10.32604/phyton.2025.063868 - 27 June 2025

Abstract Over the past three decades, the expansion of intensive vegetable farming in southern China has led to excessive nitrogen (N) and phosphorus (P) fertilizer application, causing substantial N and P runoff losses. This study investigated four major vegetable production regions in southern China—the upper reaches of the Yangtze River (U-YR), the middle lower reaches of the Yangtze River (ML-YR), the Southeast Coast (SC), and the Pearl River basin (PR)—analyzing 175 published articles to characterize spatiotemporal patterns of N and P fertilizer applications and associated runoff losses from 1992 to 2021. The result showed that the… More >

Xiaoying Zeng^1,*, Ying Liu², Yufei Li², Yongping Yu²

Journal of Psychology in Africa, Vol.35, No.1, pp. 91-97, 2025, DOI:10.32604/jpa.2025.065779 - 30 April 2025

Abstract This study constructed a moderated mediation model to examine how the social support received by teachers is associated with their work pay fairness perception in relation to their job satisfaction and job performance. Data were collected from 2411 preschool teachers in China (female = 98.01%; mean age = 29.12 years, SD = 6.28 years). These data were analyzed using structural equation modelling, bootstrapping and latent moderate structural equations. The results indicated that teachers’ perception of pay fairness is directly associated with self-rated job performance. Additionally, pay fairness perceptions have an indirect effect on higher job More >

Xinxin Chu^1,2, Xingyuan Sun^3,*

Journal of Psychology in Africa, Vol.35, No.1, pp. 107-115, 2025, DOI:10.32604/jpa.2025.065762 - 30 April 2025

Abstract The study examines the relationship between emotional intelligence (EI), work-family conflict, and burnout among remote workers, a highly relevant issue in modern working dynamics. The sample included 557 remote workers (Males = 59.1%, M_age = 31.9, SD = 4.64) including different professions (Information technology, engineers, business and management, content writers and finance) in China. Data was gathered using a cross-sectional survey utilizing standardized tools, including the Work-Family Conflict Scale, Maslach Burnout Inventory, and Wong and Law Emotional Intelligence Scale. Structure equation modeling with slope checks on moderation effects was conducted. The findings indicated a significant inverse More >

Pei Tan^1,2,3, Mingyang Lv^2,4,*, Huadong Guo^1,2,3,*, Changyong Dou^1,2, Xue Jin⁴, Wuhe Li⁴

Revue Internationale de Géomatique, Vol.34, pp. 169-185, 2025, DOI:10.32604/rig.2025.063997 - 09 April 2025

Abstract Green space plays an important role in the sustainable urban development. This study proposes the Green Lighting Index (GLI), integrating nighttime light data from SDGSAT-1 and the Normalized Difference Vegetation Index (NDVI) from Sentinel-2, to explore the nighttime human activity in green spaces across three major urban agglomerations in China: Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), and the Greater Bay Area (GBA). The findings reveal that, for most green spaces, the relationship between nighttime lighting and green spaces is predominantly exclusionary. However, a synergistic relationship is observed in some vibrant green spaces characterized by More >

Zhongxun Li^1,2, Bing Wang^1,*, Xiaolin Liu¹

Energy Engineering, Vol.122, No.3, pp. 971-983, 2025, DOI:10.32604/ee.2025.061834 - 07 March 2025

Abstract The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in China. With a wide range of application scenarios, hydrogen energy will experience rapid growth in production and consumption. To formulate an effective hydrogen energy development strategy for the future of China, this study employs the departmental scenario analysis method to calculate and evaluate the future consumption of hydrogen energy in China’s heavy industry, transportation, electricity, and other related fields. Multi-dimensional technical parameters are selected and predicted accurately and reliably in combination with different development scenarios. The findings indicate… More >

Yuze Xue¹, Li Kou^2,3, Guosheng Jia^4,*, Liwen Jin⁴, Zhibin Zhang⁴, Jianke Hao⁴, Lip Huat Saw^5,*

Energy Engineering, Vol.122, No.3, pp. 1005-1024, 2025, DOI:10.32604/ee.2025.059198 - 07 March 2025

Abstract Geothermal energy, a form of renewable energy, has been extensively utilized for building heating. However, there is a lack of detailed comparative studies on the use of shallow and medium-deep geothermal energy in building energy systems, which are essential for decision-making. Therefore, this paper presents a comparative study of the performance and economic analysis of shallow and medium-deep borehole heat exchanger heating systems. Based on the geological parameters of Xi’an, China and commonly used borehole heat exchanger structures, numerical simulation methods are employed to analyze performance and economic efficiency. The results indicate that increasing the… More > Graphic Abstract

Zhaowei Yang¹, Bo Yang^2,*, Wenqi Liu¹, Miwei Li², Jiarong Wang², Lin Jiang³, Yiyan Sang⁴, Zhenning Pan⁵

Energy Engineering, Vol.122, No.2, pp. 405-430, 2025, DOI:10.32604/ee.2025.059515 - 31 January 2025

Abstract Accurate short-term wind power forecast technique plays a crucial role in maintaining the safety and economic efficiency of smart grids. Although numerous studies have employed various methods to forecast wind power, there remains a research gap in leveraging swarm intelligence algorithms to optimize the hyperparameters of the Transformer model for wind power prediction. To improve the accuracy of short-term wind power forecast, this paper proposes a hybrid short-term wind power forecast approach named STL-IAOA-iTransformer, which is based on seasonal and trend decomposition using LOESS (STL) and iTransformer model optimized by improved arithmetic optimization algorithm (IAOA).… More >

Xiumei Chen^1,2, Xiaobing Lu^3,*, Yufu Ning¹, Lifeng Wang¹, Jeffrey H. Gamble⁴, Xianhe Chen⁵, Xingyong Jiang⁶, I-Hua Chen^7,*, Peijin Lin⁸

International Journal of Mental Health Promotion, Vol.27, No.1, pp. 51-63, 2025, DOI:10.32604/ijmhp.2024.057750 - 31 January 2025

Abstract Background: Resilience is crucial for medical college students to thrive in the highly stressful environment of medical education. However, the prevalence of problematic internet use (PIU) in this population may negatively impact their resilience. This study investigated the influence of problematic online gaming (PG) and problematic social media use (PSMU) on the resilience of medical college students in China. Methods: A sample of 5075 first-year medical college students from four Chinese universities was studied. PG served as the independent variable, resilience as the dependent variable, fatigue as the mediator, and PSMU as the moderator. Structural… More >