Jacob Manyuon Deng^1,*, Cyrus Wabuge Wekesa², Khan Jean De Dieu Hakizimana¹, Joseph Nzabahimana³

Energy Engineering, Vol.122, No.5, pp. 1839-1862, 2025, DOI:10.32604/ee.2025.063398 - 25 April 2025

Abstract Energy access remains a critical challenge in rural South Sudan, with communities heavily relying on expensive and unfriendly environmental energy sources such as diesel generators and biomass. This study addresses the predicament by evaluating the feasibility of renewable energy-based decentralized electrification in the selected village of Doleib Hill, Upper Nile, South Sudan. Using a demand assessment and the Multi-Tier Framework (MTF) approach, it categorizes households, public facilities, private sector, Non-Governmental Organizations (NGOs) and business energy needs and designs an optimized hybrid energy system incorporating solar Photovoltaic (PV), wind turbines, batteries, and a generator. The proposed… More > Graphic Abstract

Zhiyuan Zhang¹, Yongjun Wu¹, Xiqin Li¹, Minghui Song¹, Guangwu Zhang², Ziren Wang^3,*, Wei Li³

Energy Engineering, Vol.122, No.5, pp. 1919-1948, 2025, DOI:10.32604/ee.2025.063178 - 25 April 2025

Abstract The park-level integrated energy system (PIES) is essential for achieving carbon neutrality by managing multi-energy supply and demand while enhancing renewable energy integration. However, current carbon trading mechanisms lack sufficient incentives for emission reductions, and traditional optimization algorithms often face challenges with convergence and local optima in complex PIES scheduling. To address these issues, this paper introduces a low-carbon dispatch strategy that combines a reward-penalty tiered carbon trading model with P2G-CCS integration, hydrogen utilization, and the Secretary Bird Optimization Algorithm (SBOA). Key innovations include: (1) A dynamic reward-penalty carbon trading mechanism with coefficients (μ = 0.2,… More >

Huang Tan¹, Haibo Yu¹, Tianyang Chen¹, Hanjun Deng², Yetong Hu^3,*

Energy Engineering, Vol.122, No.5, pp. 1949-1973, 2025, DOI:10.32604/ee.2025.062574 - 25 April 2025

Abstract With the increasing integration of emerging source-load types such as distributed photovoltaics, electric vehicles, and energy storage into distribution networks, the operational characteristics of these networks have evolved from traditional single-load centers to complex multi-source, multi-load systems. This transition not only increases the difficulty of effectively classifying distribution networks due to their heightened complexity but also renders traditional energy management approaches—primarily focused on economic objectives—insufficient to meet the growing demands for flexible scheduling and dynamic response. To address these challenges, this paper proposes an adaptive multi-objective energy management strategy that accounts for the distinct operational… More >

Jasem Almotiri^*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2109-2142, 2025, DOI:10.32604/cmc.2025.062923 - 16 April 2025

Abstract The evolving field of Alzheimer’s disease (AD) diagnosis has greatly benefited from deep learning models for analyzing brain magnetic resonance (MR) images. This study introduces Dynamic GradNet, a novel deep learning model designed to increase diagnostic accuracy and interpretability for multiclass AD classification. Initially, four state-of-the-art convolutional neural network (CNN) architectures, the self-regulated network (RegNet), residual network (ResNet), densely connected convolutional network (DenseNet), and efficient network (EfficientNet), were comprehensively compared via a unified preprocessing pipeline to ensure a fair evaluation. Among these models, EfficientNet consistently demonstrated superior performance in terms of accuracy, precision, recall, and… More >

Mehmet Fidan¹, Behcet Inal^2,*, Mesut Sırrı³, Bülent Hallaç⁴, Ulutas Mehmet Sefa¹

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 781-791, 2025, DOI:10.32604/phyton.2025.062171 - 31 March 2025

Abstract The use of conventional herbal medicines is a rapidly expanding phenomenon in developed nations. For instance, 30%–50% of all drug use in China is attributed to traditional herbal preparations. Current study evaluated the antioxidant (DPPH, FRAP), total phenolic and flavonoid content, antibacterial activity, and DNA damage protective potential of aqueous and methanolic extracts obtained from the aerial parts and roots of Cymbocarpum wiedemannii Boiss., an endemic plant in Turkey. In antioxidant analyses, the methanolic extract of the aerial parts showed the highest %DPPH (73.38) and IC50 (3.46 mg/mL) values. The FRAP analysis revealed the highest iron-reducing… More > Graphic Abstract

Benjamin J. Lichtbroun^1,2,*, Mann Patel², Alexis Consalvo², Labeeqa Khizir², Munisa Said², Austin Chien², Kevin Chua^1,2, John Pfail^1,2, Rachel Passarelli^1,2, Vignesh T. Packiam¹, David Golombos¹, Sammy Elsamra², Thomas L. Jang¹, Arnav Srivastava^1,3, Saum Ghodoussipour¹

Canadian Journal of Urology, Vol.32, No.1, pp. 55-62, 2025, DOI:10.32604/cju.2025.064701 - 20 March 2025

Abstract Introduction: Infections are the most feared complication of transrectal prostate biopsies, along with growing concerns of antibiotic resistance. Our institution transitioned to a transperineal approach without use of perioperative antibiotics or bowel preparations. We aimed to compare the safety outcomes associated with transperineal and transrectal prostate biopsy techniques. Materials and Methods: A retrospective analysis of patients who underwent transrectal and transperineal prostate biopsies at our institution from 2019–2022 was performed. Results: We identified 319 patients—174 transrectal and 145 transperineal. 8 patients who had transperineal biopsy (5.5%) received peri-operative antibiotics, compared to 100% with transrectal biopsy. 35.86%… More >

Zhongxun Li^1,2, Bing Wang^1,*, Xiaolin Liu¹

Energy Engineering, Vol.122, No.3, pp. 971-983, 2025, DOI:10.32604/ee.2025.061834 - 07 March 2025

Abstract The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in China. With a wide range of application scenarios, hydrogen energy will experience rapid growth in production and consumption. To formulate an effective hydrogen energy development strategy for the future of China, this study employs the departmental scenario analysis method to calculate and evaluate the future consumption of hydrogen energy in China’s heavy industry, transportation, electricity, and other related fields. Multi-dimensional technical parameters are selected and predicted accurately and reliably in combination with different development scenarios. The findings indicate… More >

Ahlem Walha¹, Amel Ksibi^2,*, Mohammed Zakariah^3,*, Manel Ayadi², Tagrid Alshalali², Oumaima Saidani², Leila Jamel², Nouf Abdullah Almujally²

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2959-3001, 2025, DOI:10.32604/cmes.2025.060545 - 03 March 2025

Abstract Dementia is a neurological disorder that affects the brain and its functioning, and women experience its effects more than men do. Preventive care often requires non-invasive and rapid tests, yet conventional diagnostic techniques are time-consuming and invasive. One of the most effective ways to diagnose dementia is by analyzing a patient’s speech, which is cheap and does not require surgery. This research aims to determine the effectiveness of deep learning (DL) and machine learning (ML) structures in diagnosing dementia based on women’s speech patterns. The study analyzes data drawn from the Pitt Corpus, which contains… More >

Dexian Li¹, Wencan Li², Xin Lin^3,*, Xingchen Zhu^4,*

International Journal of Mental Health Promotion, Vol.27, No.1, pp. 1-17, 2025, DOI:10.32604/ijmhp.2024.058744 - 31 January 2025

Abstract Background: The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’ academic engagement, leading to the emergence of a phenomenon known as “learned helplessness” and undermining the self-confidence and motivation of high school students. Using acceptance-rejection theory, this study elucidated how a rejective parenting style affects Chinese high school students’ academic anxiety and explored the urban-rural heterogeneity of this relationship. Methods: Data were analyzed using a stratified whole-cluster random sampling method. There are a total of 30,000 high school students in the three regions of northern and central China (from… More >

Djordje Spasojević^1,*, Sanja Janićević², Svetislav Mijatović¹, Bosiljka Tadić^3,4

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1021-1107, 2025, DOI:10.32604/cmes.2024.057884 - 27 January 2025

Abstract Disordered ferromagnets with a domain structure that exhibit a hysteresis loop when driven by the external magnetic field are essential materials for modern technological applications. Therefore, the understanding and potential for controlling the hysteresis phenomenon in these materials, especially concerning the disorder-induced critical behavior on the hysteresis loop, have attracted significant experimental, theoretical, and numerical research efforts. We review the challenges of the numerical modeling of physical phenomena behind the hysteresis loop critical behavior in disordered ferromagnetic systems related to the non-equilibrium stochastic dynamics of domain walls driven by external fields. Specifically, using the extended… More >