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 >

Yuerou Feng, Panpan Tong, Shuwen Fu, Xiaofan Lu, Liquan Zheng, Jielan Lai^*, Renchun Lai^*

Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.072563 - 19 January 2026

Abstract Background: The efficacy of standard 5-fluorouracil (5-FU) chemotherapy for colorectal cancer is limited by drug resistance and adverse effects, prompting research into esketamine, a potent ketamine variant with analgesic, antidepressant, and recently discovered anti-tumor properties, to determine if it can enhance 5-FU’s chemosensitivity. This study investigates whether esketamine synergizes with 5-FU to enhance therapeutic efficacy in colorectal adenocarcinoma cell models. Methods: We performed functional assays to evaluate proliferation (CCK-8), migration (wound healing), invasion (Transwell), and apoptosis (flow cytometry) in colorectal adenocarcinoma cell lines treated with 5-FU alone or in combination with esketamine. Transcriptomic profiling was… More >

Olanrewaju Lawrence Abraham^1,2,*, Md Asri Ngadi¹, Johan Bin Mohamad Sharif¹, Mohd Kufaisal Mohd Sidik¹

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072279 - 12 January 2026

Abstract Task scheduling in cloud computing is a multi-objective optimization problem, often involving conflicting objectives such as minimizing execution time, reducing operational cost, and maximizing resource utilization. However, traditional approaches frequently rely on single-objective optimization methods which are insufficient for capturing the complexity of such problems. To address this limitation, we introduce MDMOSA (Multi-objective Dwarf Mongoose Optimization with Simulated Annealing), a hybrid that integrates multi-objective optimization for efficient task scheduling in Infrastructure-as-a-Service (IaaS) cloud environments. MDMOSA harmonizes the exploration capabilities of the biologically inspired Dwarf Mongoose Optimization (DMO) with the exploitation strengths of Simulated Annealing (SA), More >

Xiangmei Ye^1,2,3, Baoyi Yang⁴, Xin Zhang⁵, Luyuan Yang¹, Likun Zhang⁵, Qin Ren¹, Xiaobing Li¹, Leiguang Feng¹, Lanlan Wei^3,6,7,*, Peng Song¹, Yuqing Ye⁸, Xin Lian⁹, Yujuan Gao⁹, Haidi Tang¹, Zhiyu Liu¹

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.068814 - 30 December 2025

Abstract Objectives: Philadelphia chromosome-positive B-cell acute lymphoblastic leukemia and Philadelphia-like B-cell acute lymphoblastic leukemia (Ph+/Ph-like ALL) constitute the majority of relapsed/refractory B-ALL (R/R B-ALL) cases, highlighting an urgent need to discover new therapeutic targets. This study aims to elucidate the mechanisms underlying poor prognosis in Ph+/Ph-like ALL through transcriptome sequencing and functional cytological assays, with the goal of informing new clinical treatment strategies. Results: Transcriptomic analysis of Ph+/Ph-like ALL patients revealed that low expression of P2X Purinoceptor 1 (P2RX1) was associated with unfavorable outcomes. Specifically, patients with poor prognosis and low P2RX1 expression exhibited downregulation of… More >

Xiaopan Zou^1,2, Meiyang Sun³, Xin Jiang¹, Jingze Yu², Xiaomeng Li^4,*, Bingyu Nie^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.066662 - 30 December 2025

Abstract Objective: Triple-negative breast cancer (TNBC) is highly aggressive and lacks an effective targeted therapy. This study aimed to elucidate the functions and possible mechanisms of action of zinc finger miz-type containing 2 (ZMIZ2) and minichromosome maintenance complex component 3 (MCM3) in TNBC progression. Methods: The relationship between ZMIZ2 expression and clinical characteristics of TNBC was investigated. In vitro and in vivo experiments were performed to investigate the role of ZMIZ2 dysregulation in TNBC cell malignant behaviors. The regulatory relationship between ZMIZ2 and MCM3 was also explored. Transcriptome sequencing was performed to elucidate possible mechanisms underlying the ZMIZ2/MCM3… More >

Arshad Riaz^1,*, Misbah Ilyas¹, Muhammad Naeem Aslam², Safia Akram³, Sami Ullah Khan⁴, Ghaliah Alhamzi⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3481-3509, 2025, DOI:10.32604/cmes.2025.072513 - 23 December 2025

Abstract Peristaltic transport of non-Newtonian nanofluids with double diffusion is essential to biological engineering, microfluidics, and manufacturing processes. The authors tackle the key problem of Sisko nanofluids under double diffusion convection with thermal radiations and electroosmotic effects. The study proposes a solution approach by using Morlet-Wavelet Neural Networks that can effectively solve this complex problem by their superior ability in the capture of nonlinear dynamics. These convergence analyses were calculated across fifty independent runs. Theil’s Inequality Coefficient and the Mean Squared Error values range from 10⁻⁷ to 10⁻⁵ and 10⁻⁷ to 10⁻¹⁰, respectively. These values showed the proposed More >