Quang Dong Nguyen Vo¹, Gia Nhu Nguyen¹, Hoang Vu Tran^2,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078756 - 08 May 2026

Abstract Reliable vehicle detection in urban traffic environments remains challenging, particularly for fixed-view CCTV systems deployed in Southeast Asian cities, where heterogeneous traffic composition, high traffic density, frequent occlusions, and complex visual conditions are prevalent. The absence of large-scale datasets tailored to such mixed-traffic environments poses a significant limitation to the performance and generalization capability of existing object detection models. To address this gap, this paper presents a large-scale traffic image dataset for real-time vehicle detection in Vietnamese urban environments. The proposed dataset comprises 23,364 images collected from fixed-view CCTV traffic cameras deployed across Da Nang… 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

Saleh Al-Maaqar^1,2,3,*, Bassam Al-Johny^1,*, Majed Al-Shaeri^1,3, Lara Al-Johny⁴, Adel Qumusani¹, Zakia Albalawy¹, Djadjiti Namla^1,3,5,*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.077998 - 28 April 2026

Abstract Staphylococcal meningitis, a severe infection of the meninges, highlights the urgent need for new strategies to combat Staphylococcus aureus (S. aureus) infections. In this study, ethanolic leaf extracts of Coleus forskohlii were evaluated for their antibacterial potential against clinical S. aureus isolates associated with meningitis. Gas chromatography-mass spectrometry (GC-MS) analysis identified 15 phytochemical compounds, two of which—urs-12-en-28-ol (CID 22213452) and petroselaidic acid (CID 5282754) showed promising binding affinities (−7.5 and −5.9 kcal/mol, respectively) against S. aureus protein (30S ribosomal subunit) in molecular docking studies. In vitro assays confirmed the antibacterial activity of the crude extract, with a minimum inhibitory concentration (MIC) More >

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 >

Yao-Chung Cheng^1,2, Der-Fa Chen^3,*, Kai-Jie Chen⁴, Kun-Yi Chen⁵, Wen-Ling Ke⁶, Xie-Chuan Qiu⁶, Min-Han Chung⁶

International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.077564 - 28 April 2026

Abstract Objectives: Smartphone addiction has become a salient mental health concern among university students. Although the Big Five personality traits are associated with problematic smartphone use, less is known about the psychological mechanisms linking personality to addictive smartphone behavior. This study examined whether mindfulness functions as a self-regulatory mechanism linking personality traits to smartphone addiction. Method: A cross-sectional survey was administered to Taiwanese university students (N = 665). Partial least squares structural equation modeling with bootstrapping was used to test direct and indirect associations among the Big Five traits, mindfulness, and smartphone addiction. Results: Mindfulness was negatively associated… More >

Higinio Ramos^1,2,*, M Chandru^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.083154 - 27 April 2026

Abstract This article has no abstract. 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 >

Liangchao Chen¹, Yan Qiao^1,*, Siwei Zhang^1,*, Bin Liu², Yonghua Shao³, Sijun Zhan³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.076245 - 27 April 2026

Abstract This article examines wafer lots scheduling in the diffusion area in semiconductor manufacturing. The diffusion area comprises multiple tool groups. Each of them contains non-identical semiconductor tools. All tools can process multiple wafer lots simultaneously, and wafer lots processed together in a tool are called a wafer batch. Besides, each wafer lot has specific queue time limits (QTLs) between consecutive processing operations, making the scheduling problem more complicated. To solve it, a discrete backtracking search optimization algorithm (DBSA) is designed for optimizing both wafer lot assignments and wafer batch processing sequences. Once the processing sequence of wafer… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.081624 - 22 April 2026

Abstract This article has no abstract. More >

Nourdine Aliane^*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.078545 - 09 April 2026

Abstract The rapid advancement of unmanned aerial vehicle (UAV) technologies has increased demand for flexible autopilot platforms suitable for both research and education. Among available options, the open-source Pixhawk/PX4 autopilot has emerged as a leading solution due to its modular architecture and robust software ecosystem. This survey examines the adoption of the Pixhawk/PX4 platform in research and education. The survey covers the analysis of the Pixhawk/PX4 autopilot software development APIs, its compatibility with ROS middleware and MATLAB/Simulink environments, and environments for software/hardware-in-the-loop simulations. Additionally, it explores the integration of Cutting-Edge technologies to enhance UAVs performance. By More >