Ahmed Ghazy^*

Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2025.076192 - 30 April 2026

Abstract In this study, the covers of the conventional double slope solar distiller (CDSSD) were replaced with a glass air heater and a glass air-cooled condenser. Ambient air was circulated through the air heater and air-cooled condenser to recover unavoidable heat losses in air heating as an auxiliary product. The thermal performance of the double slope solar distiller integrated with an air heater and an air-cooled condenser (DSSD-AH-ACC) was mathematically evaluated under real weather conditions and varying air flows. The results showed that increasing air flow through the air heater and air-cooled condenser improved the efficiency More >

Ramtin Vamenani^#, Ethan Brister^#, Ling Li^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078683 - 28 April 2026

Abstract The potting substrate is an important determinant of post-germination growth in Arabidopsis thaliana and Nicotiana tabacum under controlled laboratory conditions. We evaluated four commercially available soil substrates—Sta-Green potting mix plus fertilizer (SPM), Sta-Green flower & vegetable garden soil plus fertilizer (SGS), Miracle-Gro potting mix (MPM), and Miracle-Gro raised bed soil (MBS)—to assess their effects on seed germination and post-germination growth. Germination rates did not differ significantly among substrates for either species. In contrast, post-germination growth was strongly influenced by the substrate, with MPM consistently supporting greater biomass accumulation, stem elongation, and leaf production. Through integrated analysis of More >

Hajar Zennouhi^1,2, Rachid Ez-zouggari^1,3, Mamadou Traoré¹, Abderrahim Lazraq², Saadia Belmalha⁴, Rachid Lahlali^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078088 - 28 April 2026

Abstract Citrus fruits are highly susceptible to post-harvest diseases such as green rot (Penicillium digitatum), blue rot (P. italicum), and sour rot (Geotrichum citri-aurantii), causing significant economic losses. Due to the risks associated with synthetic fungicides and the emergence of resistant strains, natural alternatives are needed. This study evaluated the antifungal activity of aqueous extracts of Corrigiola telephiifolia and Marrubium vulgare. In vitro tests were conducted using PDA medium with extract concentrations of 12.5–100 mg/mL and in vivo assays were performed on artificially wounded oranges with the same extract concentrations. In vitro tests showed strong inhibition of mycelial growth and spore germination, with C. telephiifolia More > Graphic Abstract

Haofan Lv¹, Qihang Zhang¹, Yufan He¹, Wuwei Xin², Wei Liu^1,*, Chunpeng Wan^1,3,*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.076015 - 28 April 2026

Abstract The fruits of Prunus cerasifera Ehrh. have been traditionally utilized as both medicinal and edible resource, however, their specific phytochemical profile and anti-inflammatory mechanisms remain to be fully elucidated. This study aimed to isolate and identify the chemical constituents from the fruits and evaluate their anti-inflammatory activities. The separation was performed using a combination of chromatographic techniques. The structures of the obtained compounds were elucidated using a combination of ¹H and ¹³C nuclear magnetic resonance (NMR) and electrospray ionization mass spectrometry (ESI-MS). The anti-inflammatory activity of the compounds was initially investigated based on their capacity to inhibit… More >

Rebika Rai^1,*, Totan Bharasa², Arunita Das³, Krishna Gopal Dhal³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079037 - 27 April 2026

Abstract Snake Optimizer (SO) is a popular optimization algorithm developed by Hashim and Hussien, based on the competitive and selective mating nature of snakes. By emulating such natural methods, SO presents an intelligent method to solve complicated optimization problems, making it a valuable tool in various scientific and technological applications. This paper provides an extensive review of the SO, its inception, the development of different variants, and applications. This paper identifies several SO variants, such as improved SO variants using different strategies, hybridized SO variants with other metaheuristics, Binary SO variants to solve discrete optimization problems,… More >

Liam Revell¹, Hyunjae Kang^1,*, Jung Taek Seo², Dan Dongseong Kim¹

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.078467 - 27 April 2026

Abstract The rapid proliferation of Internet of Things (IoT) devices has increased the importance of network intrusion detection systems (NIDS) for protecting modern networks. However, many machine learning and deep learning based NIDS rely on large volumes of labeled attack data, which is often impractical to obtain for newly emerging or rare attacks. This paper presents a benchmark-style systematic evaluation of meta-learning-based Few-Shot Learning (FSL) classifiers for detecting previously unseen intrusions with limited labeled data. We investigate three representative FSL models, namely Prototypical Networks, Relation Networks, and MetaOptNet, and further examine two decision-level ensemble strategies based… More >

Aimable Ngendahayo^1,*, Adrià Junyent-Ferré², Joan Marc Rodriguez Bernuz³

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.077594 - 27 April 2026

Abstract Bugesera, a historically drought-prone region in Rwanda, is undergoing transformation through investment in modern irrigation and sustainable agricultural practices. However, extending the national electrical grid to numerous dispersed smallholder farms poses a major challenge. The persistent water scarcity and rising conventional energy costs necessitate the development of innovative and sustainable solutions. This study investigates the use of photovoltaic (PV) pumping systems as a green energy alternative for off-grid rural areas, supporting both agricultural irrigation and domestic water supply. A model system serving five one-hectare market-gardening plots and 25 inhabitants was analyzed, with a total daily… More >

Cheng Yang¹, Xiuyu Yang^1,*, Gangui Yan¹, Hongda Dong², Chenggang Li²

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.072773 - 27 April 2026

Abstract The integration of renewable energy introduces significant uncertainty into daily power system operation scenarios. Traditional deterministic unit commitment methods struggle to adapt to these conditions, often resulting in poor economic performance and high curtailment rates in planning outcomes. To address these challenges, this paper proposes a coordinated thermal power-energy storage planning methodology for managing renewable energy uncertainty. First, the operational effectiveness of daily unit commitment under uncertain renewable energy scenarios is analyzed, with quantitative assessment of how different commitment strategies impact supply-demand balance and economic performance. Subsequently, by conducting flexibility evaluation under multiple renewable energy… More >

Harri Renney^1,*, Maxim Nethercott¹, Nathan Renney², Peter Hayes¹

Journal on Artificial Intelligence, Vol.8, pp. 231-257, 2026, DOI:10.32604/jai.2026.078487 - 17 April 2026

Abstract This paper provides systemisation on the emerging design patterns and paradigms for Large Language Model (LLM)-enabled multi-agent systems (MAS), evaluating their practical utility across various domains, bridging academic research and industry practice. We define key architectural components, including agent orchestration, communication mechanisms, and control-flow strategies, and demonstrate how these enable rapid development of modular, domain-adaptive solutions. Three real-world case studies are tested in controlled, containerised pilots in telecommunications security, national heritage asset management, and utilities customer service automation. Initial empirical results show that, for these case studies, prototypes were delivered within two weeks and pilot-ready More >

Hamed Alqahtani¹, Gulshan Kumar^2,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077367 - 09 April 2026

Abstract Large Language Models (LLMs) are becoming integral components of modern cybersecurity ecosystems, simultaneously strengthening defensive capabilities while giving rise to a new class of Artificial Intelligence–Generated Content (AIGC)-driven threats. This PRISMA-guided systematic review synthesises 167 peer-reviewed studies published between 2022 and 2025 and proposes a unified threat–defence–evaluation taxonomy as a central analytical framework to consolidate a previously fragmented body of research. Guided by this taxonomy, the review first examines AIGC-enabled threats, including automated and highly personalised phishing, polymorphic malware and exploit generation, jailbreak and adversarial prompting, prompt-injection attack vectors, multimodal deception, persona-steering attacks, and large-scale… More >