Nurfarahin Roslan¹, Massoomeh Hedayati Marzbali^1,*, Aldrin Abdullah¹, Ang See May²

Revue Internationale de Géomatique, Vol.34, pp. 553-567, 2025, DOI:10.32604/rig.2025.066073 - 06 August 2025

Abstract Urban green spaces play a crucial role in improving the well-being of city dwellers, offering recreational benefits that contribute to physical health. However, challenges remain in ensuring these spaces are distributed equitably and are accessible to all. This research examines the distribution and accessibility of green spaces in Bayan Lepas, Penang, Malaysia. The study focuses on evaluating three key factors: (1) the uniformity of green space distribution in the area, (2) the proportion of residents who can access green spaces within a 300-m walk, and (3) the identification of regions that lack sufficient green spaces,… More > Graphic Abstract

Yali Zhang¹, Hao Jiang¹, Yuewen Bian², Fuhai Zhang^1,*

Journal of Psychology in Africa, Vol.35, No.2, pp. 271-275, 2025, DOI:10.32604/jpa.2025.065774 - 30 June 2025

Abstract This study aimed to determine the reliability, validity and measurement invariance of scores from the Difficulties in Emotion Regulation Scale-8 in Chinese context. A total of 1114 Chinese adolescents were participants in three phases: N = 424 for the initial DERS-8 measure completion; N = 586 the DERS-8, General Anxiety Disorder Scale, Depression Scale and Emotion Regulation Scale completion, with an interval of one month. Then an additional 104 adolescents also completed DERS-8, General Anxiety Disorder Scale, Depression Scale and Emotion Regulation Scale. Both exploratory and confirmatory factor analyses confirmed the one-factor model of the More >

Hao Jiao¹, Xinyu Liu², Chen Wu¹, Chunlei Xu¹, Zhijun Zhou³, Ye Chen³, Guoqiang Sun^2,*

Energy Engineering, Vol.122, No.7, pp. 2977-2992, 2025, DOI:10.32604/ee.2025.064206 - 27 June 2025

Abstract With the continuous expansion of the power system scale and the increasing complexity of operational mode, the interaction between transmission and distribution systems is becoming more and more significant, placing higher requirements on the accuracy and efficiency of the power system state estimation to address the challenge of balancing computational efficiency and estimation accuracy in traditional coupled transmission and distribution state estimation methods, this paper proposes a collaborative state estimation method based on distribution systems state clustering and load model parameter identification. To resolve the scalability issue of coupled transmission and distribution power systems, clustering… More >

Linlan Chang¹, Win-Jet Luo^1,2, Indra Permana², Bowo Yuli Prasetyo³, Alya Penta Agharid¹, Fujen Wang^2,*

Energy Engineering, Vol.122, No.5, pp. 1771-1787, 2025, DOI:10.32604/ee.2025.062209 - 25 April 2025

Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are critical for maintaining thermal comfort in office environments which also crucial for occupant well-being and productivity. This study investigates the impact of integrating ceiling fans with higher air conditioning setpoints on thermal comfort and energy efficiency in office environments. Field measurements and questionnaire surveys were conducted to evaluate thermal comfort and energy-saving potential under varying conditions. Results show that increasing the AC setpoint from 25°C to 27°C, combined with ceiling fan operation, reduced power consumption by 10%, achieving significant energy savings. Survey data confirmed that 85% of… More >

Min Liu¹, Qiliang Wu¹, Zhixin Li², Bo Zhao¹, Leiqi Zhang¹, Junhui Li², Xingxu Zhu^2,*

Energy Engineering, Vol.122, No.4, pp. 1403-1424, 2025, DOI:10.32604/ee.2025.060256 - 31 March 2025

Abstract To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms, an online optimization strategy for Battery-hydrogen hybrid energy storage systems based on measurement feedback is proposed. First, considering the high charge/discharge losses of hydrogen storage and the low energy density of battery storage, an operational optimization objective is established to enable adaptive energy adjustment in the Battery-hydrogen hybrid energy storage system. Next, an online optimization model minimizing the operational cost of the hybrid system is constructed to suppress grid-injected power deviations with… More >

Vitor F. C. Sousa¹, Jorge Gil¹, Tiago E. F. Silva¹, Abílio M. P. de Jesus^1,2, Francisco J. G. Silva^1,3, João Manuel R. S. Tavares^1,2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 177-199, 2025, DOI:10.32604/cmc.2025.062133 - 26 March 2025

Abstract The machining process remains relevant for manufacturing high-quality and high-precision parts, which can be found in industries such as aerospace and aeronautical, with many produced by turning, drilling, and milling processes. Monitoring and analyzing tool wear during these processes is crucial to assess the tool’s life and optimize the tool’s performance under study; as such, standards detail procedures to measure and assess tool wear for various tools. Measuring wear in machining tools can be time-consuming, as the process is usually manual, requiring human interaction and judgment. In the present work, an automated offline flank wear… More >

Xianfeng Zhou^1,2,*, Ruiju Sun¹, Zhaojie Zhang¹, Yuanyuan Song¹, Lijiao Jin¹, Lin Yuan³

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 503-519, 2025, DOI:10.32604/phyton.2025.060827 - 06 March 2025

Abstract An accurate and robust estimation of leaf chlorophyll content (LCC) is very important to better know the process of material and energy exchange between plants and the environment. Compared with traditional remote sensing methods, abundant research has made progress in agronomic parameter retrieval using different CNN frameworks. Nevertheless, limited reports have paid attention to the problems, i.e., limited measured data, hyperspectral redundancy, and model convergence issues, when concerning CNN models for parameter estimation. Therefore, the present study tried to analyze the effects of synthetic data size expansion employing a Gaussian process regression (GPR) model for… More >

Mohammad-Rahim Hematiyan^*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3069-3090, 2025, DOI:10.32604/cmc.2025.060067 - 17 February 2025

Abstract The identification of the traction acting on a portion of the surface of an anisotropic solid is very important in structural health monitoring and optimal design of structures. The traction can be determined using inverse methods in which displacement or strain measurements are taken at several points on the body. This paper presents an inverse method based on the method of fundamental solutions for the traction identification problem in two-dimensional anisotropic elasticity. The method of fundamental solutions is an efficient boundary-type meshless method widely used for analyzing various problems. Since the problem is linear, the… More >

Alya Penta Agharid¹, Indra Permana², Nitesh Singh¹, Fujen Wang^2,*, Susan Gustiyana²

Energy Engineering, Vol.121, No.12, pp. 3549-3571, 2024, DOI:10.32604/ee.2024.056398 - 22 November 2024

Abstract Hotel buildings are currently among the largest energy consumers in the world. Heating, ventilation, and air conditioning are the most energy-intensive building systems, accounting for more than half of total energy consumption. An energy audit is used to predict the weak points of a building’s energy use system. Various factors influence building energy consumption, which can be modified to achieve more energy-efficient strategies. In this study, an existing hotel building in Central Taiwan is evaluated by simulating several scenarios using energy modeling over a year. Energy modeling is conducted by using Autodesk Revit 2025. It… More >

Jiawei Fu^1,2,*, Yahui Cai¹, Bowen Zhang¹, Zengxiang Qi¹, Lehua Qi¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.013007

Abstract The accurate characterization of the anisotropic thermal-mechanical constitutive properties of structural sheet metals at elevated temperatures and under nonuniform stress/strain states is crucial for the precise hot plastic forming and structural behavior evaluation of an engineering sheet part. Traditional thermal-mechanical testing methods rely on the assumption of states homogeneity, leading to a large number of tests required for the characterization of material anisotropy and nonlinearity at various high temperatures. In this work, a highly efficient identification method is proposed that allows the simultaneous characterization of the anisotropic yielding, strain hardening and elasto-plasticity thermal softening material More >