Mohammed A. El-Shorbagy¹, Anas Bouaouda^2,*, Fatma A. Hashim³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.077765 - 27 May 2026

Abstract As real-world optimization problems become more complex, the development of sophisticated and robust algorithms has become essential. Consequently, researchers are focusing on advanced optimization methods that efficiently explore the feasible solution space. This involves designing new high-performance algorithms or enhancing existing meta-heuristic methods by integrating advanced evolutionary strategies. Barnacles Mating Optimizer (BMO) is an evolutionary-based meta-heuristic algorithm inspired by the mating behavior of barnacles, incorporating Hardy–Weinberg principles and the sperm-cast mechanism. Introduced in 2020, BMO has attracted significant attention and has been successfully applied across diverse fields due to its simple design, ease of implementation,… More >

Meerim Park¹, Seungman Park², Ensel Oh³, Jongmun Choi⁴, Mi Mi Kwon¹, Seog-Yun Park⁵, Jun Ah Lee¹, Hyeon Jin Park^1,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.079120 - 21 May 2026

Abstract Objectives: Germline variants in cancer predisposition genes have been increasingly recognized in pediatric cancers. However, their spectrum in East Asian children with central nervous system (CNS) tumors remains insufficiently defined. This study investigated the prevalence and clinical significance of pathogenic or likely pathogenic (P/LP) germline mutations in Korean children, adolescents, and young adults (AYAs) with CNS tumors. Methods: We performed targeted next-generation sequencing of 358 cancer-associated genes using peripheral blood DNA from 108 patients. Germline variants were classified according to ACMG/AMP guidelines and curated using ClinVar and relevant literature. Results: Among 108 patients, 17 (15.7%) carried P/LP… More >

Dat Quoc Tran¹, Mayu Takeda², Eiji Sugihara², Tetsuya Tsukamoto^2,3, Yasushi Hoshikawa⁴, Yasuyoshi Mizutani¹, Kazuya Shiogama⁵, Naoya Asai⁶, Atsuko Niimi¹, Makoto Sumitomo², Hideyuki Saya², Motoshi Suzuki^1,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.078309 - 21 May 2026

Abstract Objectives: Genetic risk models have substantially advanced our understanding of germline pathogenic variants (GPVs) in some malignancies, whereas their clinical significance in lung cancer remains unclear. The present study aimed to better understand potential contribution of GPVs to lung cancer etiology. Methods: A targeted sequencing panel of 143 cancer-related genes was applied to analyze 26 distinct lung adenocarcinoma (LUAD) tumors from 11 patients histopathologically diagnosed with multiple primary lung cancers (MPLC). Tumor classification was performed through integrated evaluation of mutation profiles, and variants shared among tumor lesions were further validated as likely germline or somatic mutations… More >

Shizhou Yu^1,2, Jie Zhang¹, Linggai Cao¹, Jie Liu¹, Peng Lu³, Jiemeng Tao³, Xueliang Ren¹, Zhixiao Yang^1,2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.073509 - 28 February 2026

Abstract Tobacco (Nicotiana tabacum, 2n = 48) is a key non-food economic crop, yet its stress response and gene regulatory mechanisms remain poorly understood. By analyzing 603 transcriptome datasets, this study identified 1405 tissue-specific genes, revealing tissue-specific synthesis of terpenoids and other ecologically important secondary metabolites in sepals and other tissues. Comparative stress-response analysis highlighted distinct gene expression patterns in leaves and roots under biotic and abiotic stresses. Additionally, 28,396 expression quantitative trait loci (eQTLs) were mapped in leaves, offering valuable genetic regulatory markers. These findings provide crucial insights into tobacco’s gene expression characteristics and their functional More >

Yu-Xuan Zhou¹, Kai-Qing Zhou^1,*, Wei-Lin Chen¹, Zhou-Hua Liao¹, Di-Wen Kang^1,2

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.075099 - 10 February 2026

Abstract The Pigeon-Inspired Optimization (PIO) algorithm constitutes a metaheuristic method derived from the homing behaviour of pigeons. Initially formulated for three-dimensional path planning in unmanned aerial vehicles (UAVs), the algorithm has attracted considerable academic and industrial interest owing to its effective balance between exploration and exploitation, coupled with advantages in real-time performance and robustness. Nevertheless, as applications have diversified, limitations in convergence precision and a tendency toward premature convergence have become increasingly evident, highlighting a need for improvement. This review systematically outlines the developmental trajectory of the PIO algorithm, with a particular focus on its core… More >

Longcang Wang, Yongbing Gao^*, Xinguang Wang, Xin Liu

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.072889 - 10 February 2026

Abstract Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods, this paper proposes the IPKE-MoE framework, which consists of three parts, namely, a sensitive word variant extraction framework, a sensitive word variant knowledge enhancement layer and a mixture-of-experts (MoE) classification layer. First, sensitive word variants are precisely extracted through dynamic iterative prompt templates and the context-aware capabilities of Large Language Models (LLMs). Next, the extracted variants are used to construct a knowledge enhancement layer for sensitive word variants based on RoCBert models. Specifically, after locating variants via n-gram… More >

Weichen Wang¹, Shaofeng Wang¹, Wenjing Liu^1,*, Luncai Zhou², Erqing Zhang¹, Ting Gao³, Grigory Petrishin⁴

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071278 - 08 January 2026

Abstract In dry-coupled ultrasonic thickness measurement, thick rubber layers introduce high-amplitude parasitic echoes that obscure defect signals and degrade thickness accuracy. Existing methods struggle to resolve overlap-ping echoes under variable coupling conditions and non-stationary noise. This study proposes a novel dual-criterion framework integrating energy contribution and statistical impulsivity metrics to isolate specimen re-flections from coupling-layer interference. By decomposing A-scan signals into Intrinsic Mode Functions (IMFs), the framework employs energy contribution thresholds (>85%) and kurtosis indices (>3) to autonomously select IMFs containing valid specimen echoes. Hybrid time-frequency thresholding further suppresses interference through amplitude filtering and spectral focusing. More >

Miguel Meñaca-Puentes^1,*, Juan-Camilo Arias-Ospina¹, Narmer F. Galeano², Reinel Tabares-Soto^1,3, Carlos Alberto Ruiz Villa¹

Congenital Heart Disease, Vol.20, No.6, pp. 743-767, 2025, DOI:10.32604/chd.2025.070423 - 10 February 2026

Abstract Atherosclerotic cardiovascular disease remains the leading cause of global mortality, with low-density lipoprotein cholesterol established as a primary causal risk factor. Despite widespread implementation of statin therapy, substantial interindividual variability in treatment response persists, necessitating precision medicine approaches to optimize therapeutic outcomes. This comprehensive narrative review synthesizes current understanding of pharmacogenomic determinants influencing lipid-lowering therapy efficacy, examines mechanisms underlying residual cardiovascular risk, and evaluates emerging therapeutic modalities targeting previously unexploited pathways in lipid metabolism. Genetic variants in key genes including 3-hydroxy-3-methylglutaryl-CoA reductase, apolipoprotein E, low-density lipoprotein receptor, and proprotein convertase subtilisin/kexin type 9 demonstrate significant… More >

Shahin Imran^1,2, Maki Katsuhara^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3653-3665, 2025, DOI:10.32604/phyton.2025.073959 - 01 December 2025

Abstract Barley (Hordeum vulgare L.) employs the Na⁺ transporter HvHKT1;1, which is an N⁺-selective transporter. This study characterized the full-length HvHKT1;1 (HvHKT1;1-FL) and three mRNA variants (HvHKT1;1-V1, -V2, and -V3), which encode polypeptides of 64.7, 54.0, 40.5, and 32.9 kDa, respectively. Tissue-specific expression profiling revealed that HvHKT1;1-FL is the most abundant transcript across leaf, sheath, and root tissues under normal conditions, with the highest expression in leaves. Under 150 mM NaCl stress, HvHKT1;1-FL and its variants showed a dynamic, time-dependent expression pattern, with peak leaf expression at 2 h, sheath expression at 12 h, and root expression at 2 h, suggesting their… More >

Noor Ayesha¹, Muhammad Mujahid², Abeer Rashad Mirdad², Faten S. Alamri^3,*, Amjad R. Khan²

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1883-1899, 2025, DOI:10.32604/cmc.2025.063560 - 09 June 2025

Abstract Large language models (LLMs) and natural language processing (NLP) have significant promise to improve efficiency and refine healthcare decision-making and clinical results. Numerous domains, including healthcare, are rapidly adopting LLMs for the classification of biomedical textual data in medical research. The LLM can derive insights from intricate, extensive, unstructured training data. Variants need to be accurately identified and classified to advance genetic research, provide individualized treatment, and assist physicians in making better choices. However, the sophisticated and perplexing language of medical reports is often beyond the capabilities of the devices we now utilize. Such an… More >