Idongesit Sunday Ambrose¹, Sunday Edet Etuk², Okechukwu Ebuka Agbasi^3,*, Ijah Ioryue Silas⁴, Unyime Udoette Saturday⁵, Eyo Edet Orok⁶

Revue Internationale de Géomatique, Vol.34, pp. 335-350, 2025, DOI:10.32604/rig.2025.064552 - 13 June 2025

Abstract Road construction and traffic congestion are increasingly recognized as major contributors to environmental and public health challenges in urban Nigeria, particularly in Rivers State. Despite growing urbanization, a gap remains in localized data on the combined effects of air and noise pollution in hydrocarbon-polluted environments. This study addresses that gap by conducting a preliminary environmental health assessment focused on the Port Harcourt Ring Road project. Air quality and noise levels were monitored in situ at 20 strategically selected locations, with five control points included for baseline comparison. Digital portable meters were used to measure concentrations of… More >

Ovidijus Grigas, Robertas Damaševičius^*, Rytis Maskeliūnas

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1805-1838, 2025, DOI:10.32604/cmc.2025.064354 - 09 June 2025

Abstract Brain imaging is important in detecting Mild Cognitive Impairment (MCI) and related dementias. Magnetic Resonance Imaging (MRI) provides structural insights, while Positron Emission Tomography (PET) evaluates metabolic activity, aiding in the identification of dementia-related pathologies. This study integrates multiple data modalities—T1-weighted MRI, Pittsburgh Compound B (PiB) PET scans, cognitive assessments such as Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR) and Functional Activities Questionnaire (FAQ), blood pressure parameters, and demographic data—to improve MCI detection. The proposed improved Convolutional Mixer architecture, incorporating B-cos modules, multi-head self-attention, and a custom classifier, achieves a classification accuracy of 96.3% More >

David He^1,*, Miao He², Jay Yoon³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1955-1969, 2025, DOI:10.32604/cmes.2025.063975 - 30 May 2025

Abstract Full ceramic bearings are mission-critical components in oil-free environments, such as food processing, semiconductor manufacturing, and medical applications. Developing effective fault diagnosis methods for these bearings is essential to ensuring operational reliability and preventing costly failures. Traditional supervised deep learning approaches have demonstrated promise in fault detection, but their dependence on large labeled datasets poses significant challenges in industrial settings where fault-labeled data is scarce. This paper introduces a few-shot learning approach for full ceramic bearing fault diagnosis by leveraging the pre-trained GPT-2 model. Large language models (LLMs) like GPT-2, pre-trained on diverse textual data,… More >

Perry Yang Tchie Hunn¹, Hadi Nabipour Afrouzi^2,*

Energy Engineering, Vol.122, No.5, pp. 1789-1804, 2025, DOI:10.32604/ee.2025.060124 - 25 April 2025

Abstract With growing interest in its potential applications across both stationary and transportation sectors, hydrogen has emerged as a promising alternative for environmentally responsible power generation. By replacing traditional fuels, hydrogen can significantly reduce greenhouse gas emissions in the transportation sector. This study focuses on the design and downsizing of a green hydrogen fuel cell car, aiming to scale the concept for larger vehicles. Key components, including fuel cells, electrolysers, and solar panels, were evaluated through extensive laboratory testing. The findings reveal that variations in sunlight impact the solar panel’s hydrogen production rate, with differences of… More > Graphic Abstract

Elaine Yi-Ling Wu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1185-1214, 2025, DOI:10.32604/cmes.2025.064636 - 11 April 2025

Abstract Hybrid renewable energy systems (HRES) offer cost-effectiveness, low-emission power solutions, and reduced dependence on fossil fuels. However, the renewable energy allocation problem remains challenging due to complex system interactions and multiple operational constraints. This study develops a novel Multi-Neighborhood Enhanced Harris Hawks Optimization (MNEHHO) algorithm to address the allocation of HRES components. The proposed approach integrates key technical parameters, including charge-discharge efficiency, storage device configurations, and renewable energy fraction. We formulate a comprehensive mathematical model that simultaneously minimizes levelized energy costs and pollutant emissions while maintaining system reliability. The MNEHHO algorithm employs multiple neighborhood structures… More >

Chang Liu^1,3, Chengcheng Yin¹, Jinjin Zhang², Haijun Sun^1,3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 695-707, 2025, DOI:10.32604/phyton.2025.061790 - 31 March 2025

Abstract To promote the growth of cutting seeding of poplar (Populus L.), nitrogen (N) fertilizer and surface weed managements were required. We here conducted a pot experiment to examine the effects of natural vegetation, barnyardgrass (Echinochloa Beauv.), and sesbania (Sesbania cannabina pers.) on the growth of poplar cutting seedlings, soil properties, and ammonia (NH₃) volatilization under three N inputs (0, 0.5, and 1.5 g/pot, i.e., N0, N0.5, and N1, respectively). Results showed that N application promoted the growth of poplar cutting seedlings, including plant height, ground diameter, and biomass, compared with N0 treatment. Moreover, under N0, sesbania significantly increased… More >

Ziwen Cai^1,2, Yun Zhao^1,2, Zongyi Wang^1,2, Tonghe Wang^3,*, Yunfeng Li^1,2, Hao Wang³

Energy Engineering, Vol.122, No.4, pp. 1221-1248, 2025, DOI:10.32604/ee.2025.061452 - 31 March 2025

Abstract With the severe challenges brought by global climate change, exploring and developing clean and renewable energy systems to upgrade the energy structure has become an inevitable trend in related research. The comprehensive park systems integrated with photovoltaic, energy storage, direct current, and flexible loads (PEDF) is able to play an important role in promoting energy transformation and achieving sustainable development. In order to fully understand the advantages of PEDF parks in energy conservation and carbon reduction, this paper summarizes existing studies and prospects future research directions on the low-carbon operation of the PEDF park. This… More >

Mohammed A. Fayad^1,*, Amera A. Radhi¹, Marwa K. Abood², Hind A. AL Salihi¹, Miqdam T. Chaichan¹

Energy Engineering, Vol.122, No.3, pp. 929-941, 2025, DOI:10.32604/ee.2025.061612 - 07 March 2025

Abstract Oxygenated fuels can reduce harmful emissions without affecting engine performance, meeting the big challenge in the transportation industry, which keeps the environment safe and reduces global warming. This study investigates the impact of biodiesel injection strategies and fuel injection pressures (FIP) on diesel engine exhaust emission characteristics. The engine is fuelled with 20% Jatropha biodiesel (JB) and 80% diesel, named JB20D. The ratios of fuel injection pressures started with injecting the fuel (diesel and JB20D) from 200 bar to 500 bar. The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by More > Graphic Abstract

Chao Gao¹, Kai Niu^2,*, Wenjing Chen³, Changwei Wang¹, Yabin Chen¹, Rui Qu²

Energy Engineering, Vol.122, No.2, pp. 785-803, 2025, DOI:10.32604/ee.2024.058705 - 31 January 2025

Abstract With the widespread implementation of distributed generation (DG) and the integration of soft open point (SOP) into the distribution network (DN), the latter is steadily transitioning into a flexible distribution network (FDN), the calculation of carbon flow distribution in FDN is more difficult. To this end, this study constructs a model for low-carbon optimal operations within the FDN on the basis of enhanced carbon emission flow (CEF). First, the carbon emission characteristics of FDNs are scrutinized and an improved method for calculating carbon flow within these networks is proposed. Subsequently, a model for optimizing low-carbon… More >

Muhammad Nazim^1,2,*, Abdul Ghafoor^3,*, Abida Hussain⁴, Mehwish Tabassum⁵, Aamir Nawaz⁶, Muhammad Ahmad⁷, Murad Muhammad^1,2, Muqarrab Ali⁴

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 65-99, 2025, DOI:10.32604/phyton.2025.058970 - 24 January 2025

Abstract In recent years, the world has faced rising global temperatures, accumulative pollution, and energy crises, stimulating scientists worldwide to strive for eco-friendly and cost-effective solutions. Biochar has materialized as a favorable tool for environmental remediation, indicating efficacy as an efficient sorbent substance for both inorganic and organic pollutants in environmental field. These unique properties exclude improved surface functionality, porous morphology, large specific surface area (SSA), cation exchange capacity (CEC), robust adsorption capabilities, environmental stability, and embedded micronutrients. Biochar exhibited potential characteristics for environmental oversight, greenhouse gas (GHG) emission reduction, and soil fertility improvement. This review… More >