Rachid Djeffal^1,2, Sidi Mohammed El Amine Bekkouche^1,2, Zakaria Triki², Abir Abboud², Sabrina Lekmine³, Hichem Tahraoui^2,4, Jie Zhang⁵, Abdeltif Amrane^4,*

Frontiers in Heat and Mass Transfer, Vol.23, No.4, pp. 1129-1149, 2025, DOI:10.32604/fhmt.2025.067734 - 29 August 2025

Abstract Refrigeration systems are essential across various sectors, including food preservation, medical storage, and climate control. However, their high energy consumption and environmental impact necessitate innovative solutions to enhance efficiency while minimizing energy usage. This paper investigates the integration of Phase Change Materials (PCMs) into a vapor compression refrigeration system to enhance energy efficiency and temperature regulation for food preservation. A multifunctional prototype was tested under two configurations: (1) a standard thermally insulated room, and (2) the same room augmented with eutectic plates filled with either Glaceol (−10°C melting point) or distilled water (0°C melting point).… More > Graphic Abstract

Li Li, Xiao Wang^*, Ran Ding, Linlin Luo, Qinmu Wu, Zhiqin He

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1287-1309, 2025, DOI:10.32604/cmc.2025.065670 - 29 August 2025

Abstract Brain tumors are neoplastic diseases caused by the proliferation of abnormal cells in brain tissues, and their appearance may lead to a series of complex symptoms. However, current methods struggle to capture deeper brain tumor image feature information due to the variations in brain tumor morphology, size, and complex background, resulting in low detection accuracy, high rate of misdiagnosis and underdiagnosis, and challenges in meeting clinical needs. Therefore, this paper proposes the CMS-YOLO network model for multi-category brain tumor detection, which is based on the You Only Look Once version 10 (YOLOv10s) algorithm. This model… More >

S. Y. Labonno, M. S. Raihan, M. Mohi-Ud-Din, A. K. M. Aminul Islam^*

Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1545-1563, 2025, DOI:10.32604/phyton.2025.063916 - 29 May 2025

Abstract Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives. The objective of this study was to identify heat-tolerant wheat genotypes among36 mutant lines using morpho-physiological indices. Seedlings of mutant lines and check varieties were grown under both normal (control) and heat-stress conditions in growth chambers. Data were recorded on root-shoot parameters (length, fresh weight, dry weight, and ratio), relative water content (RWC), stability of cell membrane, pigment content, and chlorophyll fluorescence. Two-way analysis of variance showed significant (p < 0.01, p < 0.001) variation among15 morpho-physiological features… More >

Wen Sun¹, Meijing Li², Guoxiang Li¹, Ke Sun^1,*, Shuzhan Bai^1,*

Energy Engineering, Vol.121, No.1, pp. 95-110, 2024, DOI:10.32604/ee.2023.042096 - 27 December 2023

Abstract Proton exchange membrane fuel cells are widely regarded as having the potential to replace internal combustion engines in vehicles. Since fuel cells cannot recover energy and have a slow dynamic response, they need to be used with different power sources. Developing efficient energy management strategies to achieve excellent fuel economy is the goal of research. This paper proposes an adaptive equivalent fuel minimum consumption strategy (AECMS) to solve the problem of the poor economy of the whole vehicle caused by the wrong selection of equivalent factors (EF) in traditional ECMS. In this method, the kinematics More >

J. Pavithra^*, S. Selvakumarasamy

Journal of Cyber Security, Vol.4, No.3, pp. 135-151, 2022, DOI:10.32604/jcs.2022.031889 - 01 February 2023

Abstract Machine learning (ML) is often used to solve the problem of malware detection and classification, and various machine learning approaches are adapted to the problem of malware classification; still acquiring poor performance by the way of feature selection, and classification. To address the problem, an efficient novel algorithm for adaptive feature-centered XG Boost Ensemble Learner Classifier “AFC-XG Boost” is presented in this paper. The proposed model has been designed to handle varying data sets of malware detection obtained from Kaggle data set. The model turns the XG Boost classifier in several stages to optimize performance.… More >

Wen Sun, Hao Liu, Ming Han, Ke Sun, Shuzhan Bai^*, Guoxiang Li^*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 867-882, 2022, DOI:10.32604/fdmp.2022.018923 - 06 April 2022

Abstract Fuel cell hybrid electric vehicles are currently being considered as ideal means to solve the energy crisis and global warming in today’s society. In this context, this paper proposes a method to solve the problem related to the dependence of the so-called optimal equivalent factor (determined in the framework of the equivalent consumption minimum strategy-ECMS) on the working conditions. The simulation results show that under typical conditions (some representative cities being considered), the proposed strategy can maintain the power balance; for different initial battery’s states of charge (SOC), after the SOC stabilizes, the fuel consumption More >

Caixia Wang², Xiao Huang^1,*, Hongqing Chen², Weijie Liang²

Journal of Renewable Materials, Vol.9, No.7, pp. 1239-1252, 2021, DOI:10.32604/jrm.2021.014746 - 18 March 2021

Abstract Currently, people pay more and more attention to the transitional resettlement of victims after various natural disasters. There is an urgent need for a large number of temporary houses to resettle the victims after natural disasters. Disaster-relief temporary houses (DTHs) played an important role in the post-disaster resettlement in the past, which can not only be produced on a large scale, but also can be quickly and conveniently erected, which were the main means to solve the problem of transitional resettlement. However, due to their temporary nature, there was no extra energy consuming system installed… More >

M. D. C. Magalhaes^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.105, No.6, pp. 441-465, 2015, DOI:10.3970/cmes.2015.105.441

Abstract The main goal of this study is to present an alternative and more efficient algorithm for a three-dimensional Component Mode Synthesis model to be used on sound transmission problems. The influence of fluid-structure interaction on airborne sound transmission problems is analysed using this model, which is based on simple volume geometries. In principle, the same procedure can also be applied when the component modes are obtained from alternative numerical techniques. The modal behaviour of acoustic volumes and a partition is implemented in two steps. The novelty of this alternative model is that the structural modes More >

Santander F¹, C Fredes¹, G Nuñez¹, G Casaubon², MI Espinoza², G Montenegro¹

Phyton-International Journal of Experimental Botany, Vol.83, pp. 17-26, 2014, DOI:10.32604/phyton.2014.83.017

Abstract Currently, the search for chemical markers related to the botanical origin of honey is an important issue because of its potential use as a complementary tool for melisopalinological analysis. The objective of this research was to compare the (1) volatile compounds of Quillaja saponaria Mol. (Fam. Quillajaceae) floral nectar with those of unifloral honey of this same species, and (2) volatile compounds in Q. saponaria honeys from the same geographical origin. For the identification and semiquantification of volatile compounds, Gas Chromatography with Mass Spectrometry (GC-MS) was performed. The nectar of Q. saponaria presented volatile compounds different from the… More >