Irfan Saif Ud Din¹, Imran Siddique^2,3,4,5, Zohaib Zahid¹, Muhammad Nadeem⁶, Ibrahim Alraddadi^2,*, Taha Radwan^7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081726 - 27 May 2026

Abstract This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid (SBHNF) thin film flow over a stretched inclined sheet using an artificial neural network (ANN)-based on NARX (Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs) multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm (LMA). AA7075 and AA7072 nanoparticles suspended in sodium alginate (SA) base fluid make up the hybrid nanofluid (HNF), which was selected due to its improved heat transfer properties and superior thermal conductivity. The model’s practical applicability is enhanced by melting heat, nonlinear thermal radiation, boundary slip, and Newtonian heating effects,… More >

Sarna Soren¹, Samrat Hansda^1,*, Umair Khan^2,3, Anuar Ishak⁴, Ahmed Kadhim Hussein⁵, Md Mamun Molla^6,7

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.079635 - 27 May 2026

Abstract This study presents a numerical investigation of thermosolutal convection within a baffled porous cavity filled with a radiative Casson-based ternary aqueous nanofluid. The ternary hybrid nanofluid is formulated by dispersing three distinct nanoparticles into a water-based solution, aiming to enhance the thermal and solute transport characteristics. The cavity includes internal baffles that modulate convective flow and facilitate improved energy transport. The governing equations for momentum, energy, species concentration, and entropy generation are discretized and solved using a higher-order compact (HOC) finite difference scheme, ensuring superior numerical precision. The novelty of the present study lies in… More >

Kalim Sattar¹, Malik Muhammad Saad Missen², Syeda Zoupash Zahra^1,3, Najia Saher⁴, Rab Nawaz Bashir^3,5,6,*, Oumaima Saidani⁷, Shahid Kamal⁵, Muhammad I. Khan⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.078569 - 27 May 2026

Abstract Tropical Cyclone (TC) genesis forecasting is an important aspect of early warning systems, as it allows the adoption of early warnings and mitigation plans. However, existing methods often rely on binary classification or fail to capture the complex spatio-temporal dependencies that govern TC formation. To address this limitation, this study introduces STAG-Net, a novel Spatio-Temporal Attention-Gated Network designed to directly predict the geographical coordinates of TC genesis. The model uses multivariate variables of meteorological factors such as u-wind, v-wind, relative humidity, temperature, and large-scale dynamic features using a Convolutional Neural Network (CNN), Gated Recurrent Units… More >

Fang-Ying Chiu^1,2,3,*, Yun Yen^2,4,5,6

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.077076 - 21 May 2026

Abstract Objective: Glioblastoma (GBM) is the most common primary malignant brain tumor and is characterized by significant intratumoral heterogeneity. This study aimed to investigate the clinical and genomic landscapes of GBM across diverse ethnic populations to identify potential prognostic markers. Methods: Leveraging The Cancer Imaging Archive (TCIA) and bioinformatics modeling, White, African, and Asian American cohorts were analyzed. Patients were stratified according to the 2021 WHO classification of central nervous system (CNS) tumors. Population-specific genomic drivers and phenotypic markers were evaluated for their impact on outcomes. Survival rates across age, sex, and ethnicity were estimated using the… More >

Mohsin Sayeed^1,*, O. P. Singh¹, Vishal Singh Chandel², Azam Raza³, Kamal Batcha Mohamed Ismail⁴, Mayur Khan⁵, Navshad Alam^6,7, Mohammad Shariq⁸

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.079721 - 09 May 2026

Abstract An eco-friendly one-pot hydrothermal method was developed to synthesize molybdenum disulfide/graphene oxide (MoS₂/GO) nanocomposites for high-performance supercapacitor applications. X-ray diffraction (XRD) analysis confirmed the presence of the MoS₂ crystalline phase, with reduced peak intensities upon GO incorporation, indicating suppressed crystallite growth. Scanning electron microscopy (SEM) revealed rod-like MoS₂ structures uniformly distributed across layered GO sheets, and energy-dispersive spectroscopy (EDS) confirmed the presence of Mo, S, C, and O elements. Raman and FTIR analyses verified strong interfacial interactions between MoS₂ and GO. Brunauer–Emmett–Teller (BET) measurements revealed a mesoporous structure with a specific surface area of ~31.7 m² g⁻¹ and… More >

Yun-Jae Ahn^1,2,3, Moon-Seok Kang², Ki-Byung Lim^2,3,4,*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078884 - 28 April 2026

Abstract Artificial polyploidy induction is widely used in ornamental breeding but can yield aneuploidy derivatives that vary in developmental stability and breeding utility. In Hibiscus syriacus ‘Blue Bird’, in vivo colchicine and oryzalin treatments generated regenerated shoots in which genome-size shifts were detected by flow cytometry; among the candidate lines, a subset reached flowering maturity and was characterized in detail. These flowering aneuploids displayed diverse floral alterations, including reduced corolla size, altered pigmentation, and partial conversion of stamens into petaloid organs. Flow cytometry and somatic chromosome counts indicated aneuploid status (150–182 chromosomes). Pollen morphology was highly variable, with… More >

Zahid Khorshid Abbas^1,#, Anjana Singh^2,#, Mirza Sarwar Baig³, Sulaiman Ali Alharbi⁴, Yussri M. Mahrous⁵, Naif Abdulrhman Zabin Alnefiei¹, Moawia Mukhtar Hassan¹, M. Nasir Khan⁶, Zahid Hameed Siddiqui^1,7,*, Md Salik Noorani^2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.076432 - 28 April 2026

Abstract Cucumber mosaic virus (CMV) is among the most widespread plant viruses, infecting over a thousand plant species, including Catharanthus roseus, a medicinal plant valued for producing the anticancer alkaloids vincristine and vinblastine. Despite its economic significance, genomic information on CMV infecting C. roseus in India has been lacking. In this study, we employed small RNA deep sequencing integrated with advanced bioinformatics to generate the first complete genome of CMV infecting C. roseus in India, followed by validation through RT-PCR and Sanger sequencing. The reconstructed tripartite CMV genome encodes replication, silencing suppressor, movement, and coat proteins, consistent with known More > Graphic Abstract

Omar Badran^1,2,*, Siraj Attarya³

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.075916 - 22 April 2026

Abstract Extrachromosomal DNA (ecDNA) constitutes a principal factor in the amplification of oncogenes and the progression of tumors in solid malignancies. This review synthesizes emerging mechanistic, genomic, and immunologic evidence across multiple tumor types, including glioblastoma, lung, breast, gastrointestinal, hepatobiliary, urothelial, prostate, gynecologic, pediatric, and head-and-neck cancers, with the goal of clarifying the role of ecDNA in immune escape and therapy resistance and outlining its translational implications for precision oncology. ecDNA comprises substantial acentromeric circular elements that serve as transcriptional hubs, modulate enhancer–promoter interactions, and undergo dynamic copy-number cycling, thereby fostering intratumoral heterogeneity and resistance to… More >

Daniil Kamakaev, Khaled Mahbub^*

Journal on Artificial Intelligence, Vol.8, pp. 183-202, 2026, DOI:10.32604/jai.2026.077823 - 15 April 2026

Abstract This paper presents an innovative system designed to automate the analysis of candidate interviews by integrating multiple analytical techniques into a single multimodal framework. This system combines text sentiment analysis, audio sentiment analysis, keyword extraction, and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction to evaluate candidate performance holistically. This system employs text sentiment analysis using VADER and transformer-based sentiment features (probability-based outputs), audio sentiment analysis with an SVM model trained on both IEMOCAP and MELD datasets, keyword extraction via KeyBERT, and audio feature extraction including MFCCs, delta MFCCs, pitch, and energy to evaluate candidate performance holistically. More >

Md. Mottahir Alam¹, Mohammed K. Al Mesfer^2,3, Haroonhaider Sidhwa⁴, Mohd Danish^2,3, Asif Irshad Khan⁵, Tauheed Khan Mohd^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.077236 - 30 March 2026

Abstract Ground water is a crucial ecological resource and source of drinking water to a great percentage of the world population. The quality of groundwater in an area with industrial emission and air pollution is an especially important issue that requires proper evaluation. This paper introduces a spatiotemporal deep learning model that incorporates the use of metaheuristic optimization in predicting groundwater quality in various pollution contexts. The given method is a combination of the Spatial–Temporal-Assisted Deep Belief Network (StaDBN) and a hybrid Whale Optimization Algorithm and Tiki-Taka Algorithms (WOA–TTA) that would model intricate patterns of contamination.… More >