Y.C. Rodríguez-Gómez¹, J. Serrano-Arellano^1,*, F.N. Demesa-López¹, J.M. Belman-Flores², J.F. Ituna-Yudonago³

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 2073-2107, 2025, DOI:10.32604/fhmt.2025.069564 - 31 December 2025

Abstract The Trombe Wall (TW) is a low-cost, passive heating system known for its high thermal efficiency, particularly in cold and temperate climates. Recent research has explored its adaptability to warm-dry climates with high thermal variability, such as those found in central Mexico. This study presents a dynamic simulation-based analysis of the TW’s thermal performance in a representative social housing unit located in Pachuca de Soto, Hidalgo. Two models were compared—one with a south-facing TW system and one without—to evaluate indoor thermal comfort throughout a full annual cycle. The simulations were conducted using OpenStudio and EnergyPlus,… More > Graphic Abstract

Ratan Kumar Das^1,*, Abhijit Date¹, Harun Chowdhury¹, Hamed Hassan²

Energy Engineering, Vol.122, No.12, pp. 4815-4835, 2025, DOI:10.32604/ee.2025.071727 - 27 November 2025

Abstract Bangladesh has achieved notable progress in expanding electricity access nationwide. Nonetheless, remote and topographically challenging regions such as the Chittagong Hill Tracts (CHT) continue to face coverage gaps due to grid extension difficulties. This research investigates the technical feasibility of micro-hydro power (MHP) systems as viable off-grid solutions for rural electrification in CHT. Field surveys conducted across various sites assessed available head and flow rates using GPS-based elevation measurements and portable flow meters. Seasonal fluctuations were factored into the analysis to ensure year-round operational viability. The study involved estimating power output, selecting appropriate turbine types… More > Graphic Abstract

Rafah H. Zaidan^*, Najim A. Jasim

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1595-1620, 2025, DOI:10.32604/fhmt.2025.068205 - 31 October 2025

Abstract This paper presents a comprehensive experimental and numerical investigation of radiant floor heating (RFH) systems integrated with phase change material (PCM)-based thermal energy storage (TES). The study compares two underfloor pipe configurations: double serpentine and spiral. It also looks at how well a paraffin wax PCM system works with compact heat exchanger-type TES units during winter in Iraq. Key performance indicators including discharge temperature, heat transfer rate, liquid fraction evolution, and temperature uniformity were assessed through in situ experimental measurements and ANSYS fluent simulations. Results demonstrate that the spiral design provides slightly more uniform temperature distribution… More >

Jack Kiing Teck Wei¹, Mohanad Taher Mohamed Sayed Roshdy¹, Bryan Ho Liang Hui¹, Jalal Tavalaei¹, Hadi Nabipour Afrouzi^2,*

Energy Engineering, Vol.122, No.11, pp. 4755-4775, 2025, DOI:10.32604/ee.2025.069980 - 27 October 2025

Abstract In this article, a hybrid energy storage system powered by renewable energy sources is suggested, which is connected to a grid-tied electric vehicle charging bay (EVCB) in Sarawak and is examined for its techno-economic effects. With a focus on three renewable energy sources, namely hydrokinetic power, solar power, and hydrogen fuel cells, the study seeks to minimize reliance on the electrical grid while meeting the growing demand from the growing electric vehicle (EV) infrastructure. A hybrid renewable energy storage system that combines solar power, hydrogen fuel cells, hydrokinetic power, and the grid was simulated and… More >

Hongle Li¹, SeongKi Kim^2,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5571-5594, 2025, DOI:10.32604/cmc.2025.067424 - 23 October 2025

Abstract Path planning is a fundamental component in robotics and game artificial intelligence that considerably influences the motion efficiency of robots and unmanned aerial vehicles, as well as the realism and immersion of virtual environments. However, traditional algorithms are often limited to single-objective optimization and lack real-time adaptability to dynamic environments. This study addresses these limitations through a proposed real-time dynamic multiobjective (RDMO) path-planning algorithm based on an enhanced A* framework. The proposed algorithm employs a queue-based structure and composite multiheuristic functions to dynamically manage game tasks and compute optimal paths under changing-map-connectivity conditions in real… More >

Young-Vin Kim¹, Hyunkyun Ahn^2,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1301-1334, 2025, DOI:10.32604/ijmhp.2025.068251 - 30 September 2025

Abstract Objectives: Recently, the global esports industry has experienced remarkable growth, leading to an expansion in the scale and influence of professional player communities. However, despite this outward growth, systems to protect players’ mental health remain inadequate. Comprehensive analysis of structural risk factors, including performance pressure, public evaluation, and career instability, remains insufficient. This study, aimed to explore stressors encountered by esports athletes, coping strategies, and the role of social support systems in safeguarding mental health. Using the transactional model of stress and coping, the job demands–resources model, and social support theory, the study adopts an… More >

Amir Sina Darabi^*, Mehdi Ravanshadnia

Energy Engineering, Vol.122, No.9, pp. 3753-3792, 2025, DOI:10.32604/ee.2025.065241 - 26 August 2025

Abstract Although currently, a large part of the existing buildings is considered inefficient in terms of energy, the ability to save energy consumption up to 80% has been proven in residential and commercial buildings. Also, carbon dioxide is one of the most important greenhouse gases contributing to climate change and is responsible for 60% of global warming. The facade of the building, as the main intermediary between the interior and exterior spaces, plays a significant role in adjusting the weather conditions and providing thermal comfort to the residents. In this research, 715 different scenarios were defined… More >

Uzair Abbas¹, Zahid Maqbool¹, Muhammad Adnan Shahid^1,2,*, Muhammad Safdar^1,2, Saif Ullah Khan^1,3

Revue Internationale de Géomatique, Vol.34, pp. 655-668, 2025, DOI:10.32604/rig.2025.064279 - 11 August 2025

Abstract This study was conducted to devise an integrated methodology for retrieval of surface soil moisture (SSM) using Landsat 8 TIRS data. For this purpose, Landsat 8 images of 15 May 2021 (pre-monsoon) and 20 November 2021 (post-monsoon) were processed for retrieval of soil moisture index (SMI) based on land surface temperature (LST). Moreover, field-based SM in the laboratory was also determined and correlated with satellite-based SMI. A moderate correlation between field-based SM and satellite-based SMI with R² = 0.60 was obtained. Based on this relationship, SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons… More >

Nurfazira Mohamed Fadil¹, Kelvin Kang Wee Tang^1,2,*, Malavige Don Eranda Kanchana Gunathilaka³, Abdullah Hisam Omar^1,2, Muhammad Fahim Supian¹

Revue Internationale de Géomatique, Vol.34, pp. 569-585, 2025, DOI:10.32604/rig.2025.066200 - 06 August 2025

Abstract Single-beam echo sounders remain popular for seabed mapping because they possess an affordable cost and user-friendly design, delivering essential services for marine navigation, coastal management and resource conservation. High-amplitude echoes known as sea-spikes can severely harm depth measurement precision by disrupting readings, thus lowering the overall data accuracy. The manual processing method for outliers produces subjective results and demands excessive labor, which makes it difficult to accomplish trustworthy data processing. The study presents the Sea-Spike Filtering System (SSFS) as a semi-automatic system that utilizes mean absolute deviation (MAD) together with median filter (MF) techniques to… More > Graphic Abstract

Fay Aljomah, Lama Aldhafeeri, Maha Alfadel, Sultanh Alshahrani, Qaisar Abbas^*, Sarah Alhumoud^*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5317-5335, 2025, DOI:10.32604/cmc.2025.062478 - 30 July 2025

Abstract Dialectal Arabic text classification (DA-TC) provides a mechanism for performing sentiment analysis on recent Arabic social media leading to many challenges owing to the natural morphology of the Arabic language and its wide range of dialect variations. The availability of annotated datasets is limited, and preprocessing of the noisy content is even more challenging, sometimes resulting in the removal of important cues of sentiment from the input. To overcome such problems, this study investigates the applicability of using transfer learning based on pre-trained transformer models to classify sentiment in Arabic texts with high accuracy. Specifically,… More >