Youming Song^*, Yuxin Li, Yin Wang, Yuan Xie, Gang Qiao, Jingyi Chen

Journal of Psychology in Africa, Vol.35, No.1, pp. 51-59, 2025, DOI:10.32604/jpa.2025.065781 - 30 April 2025

Abstract Although numerous findings show that people experience both positive and negative experiences with regards to solitude, the relationship between solitude capacity and emotional experience remains unclear. The current study investigated the extent to which emotion regulation may play a suppressive role in the relationship between solitude capacity and emotional experience. Questionnaires on solitude capacity, emotion regulation, and emotional experience were completed by a sample of Chinese college students (n = 844; 432 females; Mean_age = 19.79 years, SD = 1.43 years). The results of the indirect effect test showed that cognitive reappraisal suppresses the prediction of solitude More >

Zhen-Hong Wang^1,2,*, Hai-Long Wu³

Journal of Psychology in Africa, Vol.35, No.1, pp. 69-73, 2025, DOI:10.32604/jpa.2025.065769 - 30 April 2025

Abstract We examined the mediating effect of burnout and subjective well-being on the relationship between work-family conflict and learning capacity among college teachers. Using a cross-sectional study design, 422 Chinese college teachers (females = 57.3%, mean years of service = 35.56, SD = 6.38) completed the Work-Family Conflict Questionnaire (WFCQ), the Burnout Scale (BS), the Subjective Well-Being Scale (SWBS), and the Teacher Learning Capacity Evaluation Scale (TLCES). The results indicated that work-family conflict had a direct connection with learning capacity. Moreover, work-family conflict had an indirect association with learning capacity through the sequential mediating roles of More >

Cong Zhang^1,2, Chutong Zhang², Lei Shen¹, Renwei Guo², Wan Chen¹, Hui Huang², Jie Ji^2,*

Energy Engineering, Vol.122, No.5, pp. 2077-2097, 2025, DOI:10.32604/ee.2025.064175 - 25 April 2025

Abstract This paper presents a solution for energy storage system capacity configuration and renewable energy integration in smart grids using a multi-disciplinary optimization method. The solution involves a hybrid prediction framework based on an improved grey regression neural network (IGRNN), which combines grey prediction, an improved BP neural network, and multiple linear regression with a dynamic weight allocation mechanism to enhance prediction accuracy. Additionally, an improved cuckoo search (ICS) algorithm is designed to empower the neural network model, incorporating a gamma distribution disturbance factor and adaptive inertia weight to balance global exploration and local exploitation, achieving… More >

Daixuan Zhou¹, Zhichao Wang¹, Kaile Xi², Chong Zuo³, Yan Jia^2,*

Energy Engineering, Vol.122, No.5, pp. 2119-2153, 2025, DOI:10.32604/ee.2025.061712 - 25 April 2025

Abstract HOMER (Hybrid Optimization Model for Electric Renewables) is an effective simulation and optimization platform for hybrid renewable energy. By inputting specific users’ energy resource data (such as wind speed, solar radiation, etc.) and load data, and by determining the types and models of components selected by the user, HOMER calculates and simulates the operational status of each component at every time step. Ultimately, it computes the energy balance of the system within specified constraints to simulate the overall system operation. This approach enables the reasonable determination of system component capacities, the evaluation of system feasibility,… More > Graphic Abstract

Chenyang Fu^*, Xinghua Wang, Zilv Li, Xixian Liu, Xiongfei Zhang, Zhuoli Zhao

Energy Engineering, Vol.122, No.5, pp. 1805-1821, 2025, DOI:10.32604/ee.2025.061172 - 25 April 2025

Abstract With the large-scale promotion of distributed photovoltaics, new challenges have emerged in the photovoltaic consumption within distribution networks. Traditional photovoltaic consumption schemes have primarily focused on static analysis. However, as the scale of photovoltaic power generation devices grows and the methods of integration diversify, a single consumption scheme is no longer sufficient to meet the actual needs of current distribution networks. Therefore, this paper proposes an optimal evaluation method for photovoltaic consumption schemes based on BASS model predictions of installed capacity, aiming to provide an effective tool for generating and evaluating photovoltaic consumption schemes in… More > Graphic Abstract

Qinghai Ou¹, Min Yang¹, Jingcai Kong¹, Yang Yang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2429-2447, 2025, DOI:10.32604/cmc.2025.062067 - 16 April 2025

Abstract The lack of communication infrastructure in remote regions presents significant obstacles to gathering data from smart power sensors (SPSs) in smart grid networks. In such cases, a space-air-ground integrated network serves as an effective emergency solution. This study addresses the challenge of optimizing the energy efficiency of data transmission from SPSs to low Earth orbit (LEO) satellites through unmanned aerial vehicles (UAVs), considering both effective capacity and fronthaul link capacity constraints. Due to the non-convex nature of the problem, the objective function is reformulated, and a delay-aware energy-efficient power allocation and UAV trajectory design (DEPATD)… More >

Chao Luo¹, Zhengsong Xiang^1,2, Yin Zhou^1,*, Dingsong Qin³, Tianlei Cheng⁴, Qizhi Tang¹

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 683-703, 2025, DOI:10.32604/sdhm.2025.061549 - 03 April 2025

Abstract Failure tests were conducted on two concrete-filled steel tubular (CFST) truss arch bridges with a span of approximately 12 m to investigate the influence of initial geometric defects on the in-plane bearing capacity of CFST truss arch bridges. The effects of antisymmetric defect on the ultimate bearing capacity, failure mode, structural response, and steel–concrete confinement effect of CFST truss arch bridges under quarter-point loading were analyzed. On this basis, numerical simulations were conducted to investigate the in-plane bearing capacity of CFST truss arch bridges further under different scenarios. The initial defect form of the arch… More >

He Zhang^1,2,*, He-Qing Mu^2,*, Xiao Zhang³, He Zhang², Yuedong Yang⁴

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 499-530, 2025, DOI:10.32604/sdhm.2025.059070 - 03 April 2025

Abstract Safety evaluation of a bridge under Moving Abnormal Indivisible Loads (MAILs) directly relates to whether an oversized and/or overweight Large-Cargo Transportation (LCT) vehicle is permitted to pass the bridge. Safety evaluation can be updated by fusing bridge inspection data and load test data, but there are two fundamental difficulties in updating. The first difficulty is to develop an updating scheme to utilize the unstructured inspection data. The second difficulty is to develop a successive updating scheme using load test data based on the previous updating results of the inspection data. This paper proposed a framework,… More >

Caifeng Wen¹, Feifei Xue^1,*, Hongliang Hao², Edwin E. Nyakilla², Ning Yang^1,*, Yongsheng Wang³, Yuwen Zhang²

Energy Engineering, Vol.122, No.4, pp. 1511-1529, 2025, DOI:10.32604/ee.2025.060810 - 31 March 2025

Abstract This paper presents a new capacity planning method that utilizes the complementary characteristics of wind and solar power output. It addresses the limitations of relying on a single metric for a comprehensive assessment of complementarity. To enable more accurate predictions of the optimal wind-solar ratio, a comprehensive complementarity rate is proposed, which allows for the optimization of wind-solar capacity based on this measure. Initially, the Clayton Copula function is employed to create a joint probability distribution model for wind and solar power, enabling the calculation of the comprehensive complementarity rate. Following this, a joint planning… More >

Ahmed M. Dardeer^1,2,3,#, Victoria M. Stoll^1,2,#, Boyang Liu^1,2, William E. Moody^1,2, Colin D. Chue¹, Paul Clift^1,2, Roman Wesolowski⁴, Lucy E. Hudsmith¹, Richard P. Steeds^1,2,*

Congenital Heart Disease, Vol.20, No.1, pp. 27-39, 2025, DOI:10.32604/chd.2025.059729 - 18 March 2025

Abstract Background: Patients with unrepaired Ebstein’s anomaly experience exercise intolerance, heart failure and premature mortality. Volumetric assessment of right ventricular function is difficult due to the complex anatomy of the right ventricle and tricuspid valve. Myocardial deformation indices are an early marker in other cardiac pathologies of ventricular dysfunction. Objectives: 1. Assess myocardial deformation in unrepaired Ebstein’s compared to healthy controls. 2. Investigate the relationships between myocardial deformation and exercise capacity. Methods: Myocardial deformation parameters (strain) were calculated using feature tracking from standard cardiac magnetic resonance cine images. Cardiopulmonary exercise results were included where available. Results: 36 patients… More >