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 >

Noor Fadiya Mohd Noor^1,2,*, Noreen Sher Akbar³, Rashid Mehmood⁴, Muhammad Bilal Habib⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.075694 - 30 March 2026

Abstract Electroosmotic transport and entropy generation play a decisive role in regulating efficiency, stability, and energy cost of non-Newtonian nanoblood flows in stenosed arteries, particularly with tapered geometries. This study develops a unified model to analyze ZnO–Williamson nanoblood flow through a stenosed artery with converging, diverging, and non-tapered configurations, incorporating electroosmosis, viscous dissipation, and entropy production. The arterial walls are assumed to be electrically charged with a no-slip condition to induce electroosmotic propulsion along the endothelial surface. The partial differential equations are nondimensionalized to a coupled system of nonlinear ordinary differential equations, which are solved numerically… More >

Ana Luisa Arantes Chaves^1,*, Marco Tulio Mendes Ferreira²

Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.077185 - 31 March 2026

Abstract Holocentric chromosomes, characterized by kinetochore activity distributed along almost their entire length, have attracted growing interest in cytogenetics and evolutionary biology, particularly because of their adaptive significance. This review provides a historical overview of research on holocentricity, from the earliest microscopic observations to recent advances made possible by modern molecular and cytogenetic techniques. We discuss the main hypotheses concerning the origin and evolution of holocentric chromosomes, emphasizing their multiple independent origins across diverse lineages, as well as the potential selective pressures underlying their maintenance and diversification. In addition, we examine the principal methods used for More >

Yun-Im Kang¹, Youn Jung Choi¹, Su Young Lee¹, Young-Ran Lee¹, Ki-Byung Lim^2,3, Yun-Jae Ahn^2,3,*

Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.073138 - 30 January 2026

Abstract Cucumber mosaic virus (CMV) threatens lily production by reducing floral quality and enabling carry-over via infected planting stock. To explore tissue-specific host responses, we analyzed a legacy, single-replicate RNA-seq dataset from two cultivars, ‘Cancun’ and ‘Connecticut King’ (CK), profiling leaf (source) and bulb (sink) tissues at 0 and 28 days post-inoculation (dpi), alongside leaf DAS-ELISA. Principal component analysis indicated that tissue identity dominated the transcriptome (PC1 = 47.7%), with CMV treatment driving within-tissue shifts over time. Exploratory Gene Ontology/KEGG summaries and a focused marker panel revealed a consistent split: in leaves, genes linked to jasmonate/WRKY-associated… More >

Nuh Azginoglu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075834 - 29 January 2026

Abstract Breast cancer screening programs rely heavily on mammography for early detection; however, diagnostic performance is strongly affected by inter-reader variability, breast density, and the limitations of conventional computer-aided detection systems. Recent advances in deep learning have enabled more robust and scalable solutions for large-scale screening, yet a systematic comparison of modern object detection architectures on nationally representative datasets remains limited. This study presents a comprehensive quantitative comparison of prominent deep learning–based object detection architectures for Artificial Intelligence-assisted mammography analysis using the MammosighTR dataset, developed within the Turkish National Breast Cancer Screening Program. The dataset comprises… More >