Mario D’Ambrosio¹, Elisabetta Bigagli^1,*, Lorenzo Cinci¹, Cecilia Brunetti^2,*, Edgardo Giordani³, Francesco Ferrini³, Cristina Luceri¹

Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.073250 - 30 January 2026

Abstract Moringa oleifera (MO) is traditionally used to mitigate inflammatory-mediated disorders; however, the influence of ecotypic variation on its anti-inflammatory activity remains poorly understood. In this study, we compared the phytochemical composition and anti-inflammatory activity of ethanolic extracts obtained from fresh and dried leaves of four MO ecotypes (India, Paraguay, Mozambique, and Pakistan), all grown under the same outdoor conditions, as well as two commercial powders (Just Moringa and WISSA), using LPS-stimulated RAW 264.7 macrophages. Extracts from fresh leaves were 19–43% more cytotoxic than those from dried leaves, depending on the ecotype, likely due to higher cyanogenic… More >

Williams Kyei^*, Chunyong Yin, Kelvin Amos Nicodemas, Khagendra Darlami

Journal on Artificial Intelligence, Vol.8, pp. 19-38, 2026, DOI:10.32604/jai.2026.074988 - 20 January 2026

Abstract The COVID-19 pandemic has underscored the need for rapid and accurate diagnostic tools to differentiate respiratory infections from normal cases using chest X-rays (CXRs). Manual interpretation of CXRs is time-consuming and prone to errors, particularly in distinguishing COVID-19 from viral pneumonia. This research addresses these challenges by proposing a customized EfficientNet-B0 model for ternary classification (COVID-19, Viral Pneumonia, Normal) on the COVID-19 Radiography Database. Employing transfer learning with architectural modifications, including a tailored classification head and regularization techniques, the model achieves superior performance. Evaluated via accuracy, F1-score (macro-averaged), AUROC (macro-averaged), precision (macro-averaged), recall (macro-averaged), inference… More >

Sehrish Bibi^1,*, Vincenzo Minutolo², Obaid Ullah Mehmood³, Renato Zona²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2473-2493, 2025, DOI:10.32604/fdmp.2025.072470 - 30 October 2025

Abstract Arterial stenosis is a critical condition with increasing prevalence among pediatric patients and young adults, making its investigation highly significant. Despite extensive studies on blood flow dynamics, limited research addresses the combined effects of nanoparticles and arterial curvature on unsteady pulsatile flow through multiple stenoses. This study aims to analyze the influence of nanoparticles on blood flow characteristics in realistic curved arteries with mild to severe overlapped constrictions. Using curvilinear coordinates, the thermal energy and momentum equations for nanoparticle-laden blood were derived, and numerical results were obtained through an explicit finite difference method. Key findings More >

Jin Xue, Boyun Guo^*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3307-3328, 2025, DOI:10.32604/cmes.2025.069909 - 30 September 2025

Abstract Fluid imbibition from hydraulic fractures into shale formations is mainly affected by a combination of capillary forces and viscous resistance, both of which are closely related to the pore geometry. This study established five self-imbibition models with idealized pore structures and conducted a comparative analysis of these models. These models include circular, square, and equilateral triangular capillaries; a triangular star-shaped cross-section formed by three tangent spherical particles; and a traditional porous medium representation method. All these models are derived based on Newton’s second law, where capillary pressure is described by the Young-Laplace equation and viscous… More >

Stamatios Katsimperis^1,*, Lazaros Tzelves¹, Georgios Feretzakis², Themistoklis Bellos¹, Panagiotis Deligiannis¹, Andreas Skolarikos¹, Athanasios Papatsoris¹, Iraklis Mitsogiannis¹

Canadian Journal of Urology, Vol.32, No.4, pp. 271-282, 2025, DOI:10.32604/cju.2025.066395 - 29 August 2025

Abstract Background: Accurate complication reporting in endourology remains challenging, with the Clavien-Dindo Classification and Comprehensive Complication Index being the most commonly used systems. This study aimed to compare surgical outcomes and complication reporting in ureterolithotripsy (URL), percutaneous nephrolithotomy (PCNL), and extracorporeal shock wave lithotripsy (ESWL) using both systems. Methods: This prospective, single-center, non-interventional study included 473 patients undergoing URL, PCNL, or ESWL from October 2022 to October 2024. Demographic, stone-related, and procedural variables were recorded. Complications were classified using the CDC, and cumulative morbidity was assessed using CCI. Statistical analyses, including univariate and multivariate regression, were… More >

Judy P. Yang^*, Yuan-Jun Zhang

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 669-691, 2025, DOI:10.32604/cmes.2025.068945 - 31 July 2025

Abstract Much of the research has focused on identifying bridge frequencies for health monitoring, while the bridge damping ratio also serves as an important factor in damage detection. This study presents an enhanced method for identifying bridge damping ratios using a two-axle, three-mass test vehicle, relying on wheel responses captured by only two mounted sensors. Damping ratio estimation formulas are derived using both the Hilbert Transform (HT) and Wavelet Transform (WT), with a consistent formulation that confirms accurate estimation is achievable with minimal instrumentation, particularly when addressing the support effect. A comparative analysis of the two More >

Wentao Sheng^1,2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2015-2031, 2025, DOI:10.32604/phyton.2025.066232 - 31 July 2025

Abstract Rorippa indica is a wild oilseed crop of Brassicaceae with good environmental adaptability and strong stress resistance. This plant has become an important wild relative species for rapeseed (Brassica napus L.) and is used to improve its agronomic traits, with important development and utilization value. However, the research of R. indica genetics is still lacking. And no mitochondrial genome (mitogenome) in the genus Rorippa has been expounded. To analyze the structural characteristics of the R. indica mitogenome, second-generation and third-generation sequencing techniques were made to assemble its mitogenome. The results showed that its mitogenome is composed of a single master… More >

Ching-Lung Fan^1,*, Yu-Jen Chung², Shan-Min Yen^1,3

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4627-4653, 2025, DOI:10.32604/cmc.2025.066856 - 30 July 2025

Abstract Efficient banana crop detection is crucial for precision agriculture; however, traditional remote sensing methods often lack the spatial resolution required for accurate identification. This study utilizes low-altitude Unmanned Aerial Vehicle (UAV) images and deep learning-based object detection models to enhance banana plant detection. A comparative analysis of Faster Region-Based Convolutional Neural Network (Faster R-CNN), You Only Look Once Version 3 (YOLOv3), Retina Network (RetinaNet), and Single Shot MultiBox Detector (SSD) was conducted to evaluate their effectiveness. Results show that RetinaNet achieved the highest detection accuracy, with a precision of 96.67%, a recall of 71.67%, and… More >

Helen Shin Huey Wee, Nur Syazreen Ahmad^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1301-1354, 2025, DOI:10.32604/cmes.2025.063611 - 30 May 2025

Abstract This paper reviews recent advancements in system identification methods for perturbed motorized systems, focusing on brushed DC motors, brushless DC motors, and permanent magnet synchronous motors. It examines data acquisition setups and evaluates conventional and metaheuristic optimization algorithms, highlighting their advantages, limitations, and applications. The paper explores emerging trends in model structures and parameter optimization techniques that address specific perturbations such as varying loads, noise, and friction. A comparative performance analysis is also included to assess several widely used optimization methods, including least squares (LS), particle swarm optimization (PSO), grey wolf optimizer (GWO), bat algorithm… More >

Gökhan Şahin^1,*, Ihsan Levent², Gültekin Işık², Wilfried van Sark¹, Sabir Rustemli³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1215-1248, 2025, DOI:10.32604/cmes.2025.063193 - 11 April 2025

Abstract This research investigates the influence of indoor and outdoor factors on photovoltaic (PV) power generation at Utrecht University to accurately predict PV system performance by identifying critical impact factors and improving renewable energy efficiency. To predict plant efficiency, nineteen variables are analyzed, consisting of nine indoor photovoltaic panel characteristics (Open Circuit Voltage (Voc), Short Circuit Current (Isc), Maximum Power (Pmpp), Maximum Voltage (Umpp), Maximum Current (Impp), Filling Factor (FF), Parallel Resistance (Rp), Series Resistance (Rs), Module Temperature) and ten environmental factors (Air Temperature, Air Humidity, Dew Point, Air Pressure, Irradiation, Irradiation Propagation, Wind Speed, Wind… More >