Gökhan Şahin^1,*, Ihsan Levent², Gültekin Işık², Wilfried van Sark¹, Sabir Rustemli³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1215-1248, 2025, DOI:10.32604/cmes.2025.063193 - 11 April 2025

Abstract This research investigates the influence of indoor and outdoor factors on photovoltaic (PV) power generation at Utrecht University to accurately predict PV system performance by identifying critical impact factors and improving renewable energy efficiency. To predict plant efficiency, nineteen variables are analyzed, consisting of nine indoor photovoltaic panel characteristics (Open Circuit Voltage (Voc), Short Circuit Current (Isc), Maximum Power (Pmpp), Maximum Voltage (Umpp), Maximum Current (Impp), Filling Factor (FF), Parallel Resistance (Rp), Series Resistance (Rs), Module Temperature) and ten environmental factors (Air Temperature, Air Humidity, Dew Point, Air Pressure, Irradiation, Irradiation Propagation, Wind Speed, Wind… More >

Sarah M. Kamel^1,*, Mai A. Fadel², Lamiaa Elrefaei^1,3, Shimaa I. Hassan^1,4

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 373-411, 2025, DOI:10.32604/cmes.2025.062837 - 11 April 2025

Abstract Visual question answering (VQA) is a multimodal task, involving a deep understanding of the image scene and the question’s meaning and capturing the relevant correlations between both modalities to infer the appropriate answer. In this paper, we propose a VQA system intended to answer yes/no questions about real-world images, in Arabic. To support a robust VQA system, we work in two directions: (1) Using deep neural networks to semantically represent the given image and question in a fine-grained manner, namely ResNet-152 and Gated Recurrent Units (GRU). (2) Studying the role of the utilized multimodal bilinear… More >

Yongfeng Fang^1,3, Kong Fah Tee^2,*

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 771-771, 2025, DOI:10.32604/sdhm.2024.061036 - 03 April 2025

Abstract This article has no abstract. More >

Zhishui Sheng¹, Hong Jiang¹, Gang Liu², Fulai Zhang³, Wei Zhang^3,*

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 531-548, 2025, DOI:10.32604/sdhm.2024.059662 - 03 April 2025

Abstract Concrete materials are employed extensively in a variety of large-scale structures due to their economic viability and superior mechanical properties. During the service life of concrete structures, they are inevitably subjected to damage from impact loading from natural disasters, such as earthquakes and storms. In recent years, the phase-field model has demonstrated exceptional capability in predicting the stochastic initiation, propagation, and bifurcation of cracks in materials. This study employs a phase-field model to focus on the rate dependency and failure response of concrete under impact deformation. A viscosity coefficient is introduced within the phase-field model… More >

Jonghwa Lee, Youngho Kim, Dojin An^*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 257-270, 2025, DOI:10.32604/ijmhp.2025.061234 - 31 March 2025

Abstract Objectives: The current study aimed to perform a meta-analysis to comprehensively investigate effect of physical activity on cognitive function in people with Mild Cognitive Impairment. The findings of this study can offer an important basis for identifying the significance of physical activity as an important factor in designing and implementing strategies to enhance cognitive function in mild cognitive impairment. Methods: 21 articles were selected through academic databases (EBSCOhost, PubMed, ScienceDirect, Web of Science), and 20 Montreal Cognitive Assessment (MoCA) data and 15 Mini-Mental State Examination (MMSE) data were obtained. The study was conducted using the… More >

Huaruo Chen^1,2, Wanru Song¹, Jian Xie¹, Huadi Wang³, Feifei Zheng³, Ya Wen^4,*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 379-400, 2025, DOI:10.32604/ijmhp.2025.060370 - 31 March 2025

Abstract Objectives: Teachers are facing unprecedented new challenges leading them to face an increasing number of tasks that are not part of their job, as well as having to cope with the additional skills acquisition that comes with non-traditional forms of teaching and learning, and increased work pressure leading to an increase in the rate of teachers leaving the profession. Therefore, this study aims to explore the mechanism of the career calling on job burnout through career adaptability and work engagement. Methods: This study conducted a cross-sectional survey of 465 primary and secondary school teachers (PSST)… More >

Hira Akhtar¹, Akhtar Hameed^1,*, Rana Binyamin¹, Kashif Riaz², Hafiz Muhammad Usman Aslam^1,3, Faizan Ali⁴, Subhan Ali¹, Zuniara Akash⁵, Muhammad Saqlain Zaheer^6,*, Kamran Ikram⁶, Yasir Niaz⁶, Hafiz Haider Ali^7,8

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 561-581, 2025, DOI:10.32604/phyton.2025.061262 - 31 March 2025

Abstract Strawberry (Fragaria ananassa) is well known among consumers because of its attractive color, delicious taste, and nutritional benefits. It is widely grown worldwide, but its production has become a significant challenge due to changing climatic conditions that lead to abiotic stresses in plants, which results in poor root development, nutrient deficiency, and poor plant health. In this context, the major abiotic stresses are temperature fluctuations, water shortages, and high levels of soil salinity. The accumulation of salts in excessive amounts disrupts the osmotic balance and impairs physiological processes. However, drought reduces fruit size, yield, and quality.… More >

Weiliang Qi^1,2,3,4,*, Wancang Sun⁵, Li Ma⁵, Xiaolong Li¹, Haiqing Liu¹, Cairong Yang⁶, Ziyao Wei¹

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 739-762, 2025, DOI:10.32604/phyton.2025.060712 - 31 March 2025

Abstract Brassica napus L. (B. napus), recognized as a significant cash and oil crop, faces challenges in popularization and application in northern China due to its limited cold resistance. Clarifying the mechanism of cold stress on gene regulation and signal transduction in B. napus is crucial. To address these issues, we conducted transcriptome sequencing and gene expression analysis, along with gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway profiling under natural (25°C) and cold (4°C) conditions in cold tolerant 16VHNTS309 and weak cold-resistant Tianyou 2238 B. napus seedlings. Enhanced genomic annotation was achieved through additional sequencing.… More >

Lingbao Wang^1,2, Zhi Gan², Zuowei Yang^3,*, Huashan Li^1,2, Yulie Gong^1,2, Xianbiao Bu^1,2

Energy Engineering, Vol.122, No.4, pp. 1443-1468, 2025, DOI:10.32604/ee.2025.060113 - 31 March 2025

Abstract Amidst the global push for decarbonization, solar-powered Organic Rankine Cycle (SORC) systems are gaining significant attention. The small-scale Organic Rankine Cycle (ORC) systems have enhanced environmental adaptability, improved system flexibility, and achieved diversification of application scenarios. However, the power consumption ratio of the working fluid pump becomes significantly larger relative to the total power output of the system, adversely impacting overall system efficiency. This study introduces an innovative approach by incorporating a vapor-liquid ejector into the ORC system to reduce the pump work consumption within the ORC. The thermo-economic models for both the traditional ORC… More >

Sai Venkata Akhil Ammu¹, Sukhjit Singh Sehra^1,*, Sumeet Kaur Sehra², Jaiteg Singh³

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 435-453, 2025, DOI:10.32604/cmc.2025.057792 - 26 March 2025

Abstract Duplicate bug reporting is a critical problem in the software repositories’ mining area. Duplicate bug reports can lead to redundant efforts, wasted resources, and delayed software releases. Thus, their accurate identification is essential for streamlining the bug triage process mining area. Several researchers have explored classical information retrieval, natural language processing, text and data mining, and machine learning approaches. The emergence of large language models (LLMs) (ChatGPT and Huggingface) has presented a new line of models for semantic textual similarity (STS). Although LLMs have shown remarkable advancements, there remains a need for longitudinal studies to… More >