Yang Wang^1,2, Ying Xie¹, Yiyi Ye¹, Youyang Shi¹, Feifei Li¹, Mengdie Zhu¹, Ciyi Hua¹, Yuan Xu¹, Rui Yang^1,3,*, Sheng Liu^1,4,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.078051 - 16 June 2026

Abstract Background Triple-negative breast cancer (TNBC) is an aggressive subtype of breast malignancy characterized by poor clinical outcomes and limited therapeutic options. The identification of reliable biomarkers for predicting prognosis and immunotherapeutic response remains an urgent clinical need. This study aimed to develop an integrative lactylation-related gene signature to simultaneously evaluate prognostic trajectories and immunotherapeutic sensitivity in TNBC. Methods Transcriptomic and clinical data from public TNBC cohorts were systematically analyzed. Lactylation-related gene signatures were used to stratify patients via consensus clustering. A scoring model was constructed based on differentially expressed genes between clusters, and its associations with… More >

Emir Kuanyshev, Hashim Ali^*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.080737 - 08 May 2026

Abstract Refactoring improves maintainability without altering externally observable behavior, yet it remains costly and error-prone when applied manually at scale. While large language models (LLMs) can generate plausible refactorings, practical adoption is limited by uncontrolled edit scope, inconsistent outputs under stochastic decoding, and weak traceability of why a change was produced. This paper proposes a smell-targeted, scope-bound refactoring framework for JavaScript that couples deterministic AST-based smell detection with constrained LLM transformation. The key design principle is to bind generation to explicitly detected smell instances, enforce a structured output contract (refactored code plus per-smell rationale), and log… More >

Chiao-Yang Kuan, Yung-Wei Chen^*, Jian-Hung Shen, Yen-Shen Chang

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079597 - 27 April 2026

Abstract This paper investigates the vibro-acoustic coupling behavior of high-speed ball bearings and the mechanisms driving vibration and radiated noise. Ball bearings consist of an inner ring, outer ring, cage, and rolling elements, whose complex interactions—impact, friction, and geometric non-uniformities—are difficult to capture experimentally. To address this challenge, a coupled numerical approach is developed by integrating the explicit nonlinear solver LS-DYNA with the acoustic module in LMS Virtual.Lab. Simultaneously, fixed boundary constraints and no-slip contact conditions are applied in the modal analysis to identify excitation sources of structural vibrations. First, a three-sphere collision simulation is employed More >

K. Mithra^1,*, Prem Kumar Santhanam²

Journal of Intelligent Medicine and Healthcare, Vol.4, pp. 87-97, 2026, DOI:10.32604/jimh.2026.080288 - 24 April 2026

Abstract Background: Retinal fundus imaging is central to early diagnosis of sight-threatening conditions, including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility is compromised by non-uniform illumination, motion blur, and low contrast—artefacts that reduce diagnostic accuracy. Effective image enhancement is a prerequisite for reliable computer-aided ophthalmic diagnosis. Methods: This paper proposes a two-stage enhancement pipeline combining luminosity correction via HSV colour space decomposition with Contrast Limited Adaptive Histogram Equalization (CLAHE) on the Value (V) channel. Validation is conducted on three publicly available benchmarks: DRIVE (40 images), STARE (20 images), and CHASEDB1 (28 images). Quantitative metrics… More >

Wei Xu^1,#, Yuanyuan Zhang^2,#, Yizhi Ge^2,*, Yesong Guo^2,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.075314 - 22 April 2026

Abstract Objectives: Radio-resistance hinders the effectiveness of radiotherapy for treating colorectal cancer (CRC) patients. Metadherin (MTDH) is proposed to exert a pivotal role in resistance to radiotherapy in various malignancies. This study aims to investigate the precise impact of MTDH on CRC radio-resistance. Methods: Through a fusion of 14 machine learning algorithms and SHapley Additive exPlanations (SHAP) interpretability analysis, we pinpointed MTDH as a pivotal gene implicated in radio-resistance mechanisms. Subsequently, we investigated MTDH expression in CRC tissues using single-cell RNA sequencing data (scRNA-seq) and bulk transcriptomic data. MTDH level was also examined in tissues from… More >

Ya-Ling Yang^1,#, Ying-Hsien Huang^2,#, Hung-Yu Lin^3,4,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.075284 - 22 April 2026

Abstract Background: Hepatocellular carcinoma (HCC) presents with poor treatment outcomes, creating an urgent need for novel biomarkers to improve diagnosis, prognosis, and precision medicine. While the MYB family of oncogenes is implicated in cancer, the role and regulatory mechanisms of its member, particularly MYB proto-oncogene like 2 (MYBL2), remain underexplored in HCC. Therefore, this study aimed to systematically validate the clinical significance of MYBL2, elucidate its functional role in tumor progression and drug sensitivity, and identify its upstream regulatory mechanisms using an integrative machine learning and experimental framework. Methods: We applied an integrative pipeline combining LASSO-based… More > Graphic Abstract

Benedict Djouboussi^1,*, Elie Fute Tagne^1,2

Journal of Cyber Security, Vol.8, pp. 171-187, 2026, DOI:10.32604/jcs.2026.079617 - 15 April 2026

Abstract The Distributed Network Protocol 3 (DNP3) is widely deployed in SCADA-based microgrids; however, it was not originally designed to meet the cybersecurity requirements of modern decentralized energy infrastructures. Although DNP3 Secure Authentication (DNP3-SA) introduces HMAC-based session-level protection, it does not ensure fragment-level integrity, leaving the protocol vulnerable to fragmentation disruption, replay attacks, and sequence manipulation. Such vulnerabilities can cause desynchronization between master and outstation devices, compromising the operational reliability of distributed energy resources. This paper proposes DNP3Chain, a blockchain-enabled framework that provides real-time fragment-level validation and enforces end-to-end message integrity in DNP3 communications. An OpenDNP3-based… More >

Sathish Rao Udupi, Gururaj Bolar, Manjunath Shettar^*, Ashwini Bhat

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.078574 - 09 April 2026

Abstract Glass fiber-reinforced polymer composites (GFRPCs) are extensively utilized in the aerospace, automotive, and structural sectors; nevertheless, their heterogeneous and abrasive characteristics result in rapid tool wear during drilling. Drill flank wear among various wear mechanisms notably influences hole quality and dimensional accuracy. This research investigates the impact of spindle speed, feed rate, and drill diameter on flank wear during dry drilling of GFRPC laminates with high-speed steel (HSS) twist drills. A full-factorial design with 81 experiments is used to create a comprehensive dataset. ANOVA indicates that spindle speed is the dominant factor affecting wear changes,… More >

Hatim Madkhali^1,2,*, Abdullah Sheneamer², Linh Nguyen³, Gnana Bharathy¹, Ritu Chauhan⁴, Mukesh Prasad^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.074444 - 09 April 2026

Abstract Consumer electronics, with 62 million tons of electronic waste (e-waste) generated in 2022 and e-waste expected to grow to 82 million tons annually by 2030, pose critical challenges when it comes to national infrastructure and circular economy policies. This paper compares forecasting approaches using sparse panel data for 32 European countries (2005–2018, Eurostat/Waste Electrical and Electronic Equipment (WEEE) Directive), focusing on leakage-safe prospective validation to guarantee true predictive performance. We make one-step-ahead predictions with conservative features (primarily lagged values) to account for temporal autocorrelation but with reduced multicollinearity (Variance Inflation Factor (VIF) ≈ 1.0). Cross-paradigm comparisons… More >

Giada Faraco^*, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro^*, Arcangelo Messina

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.075327 - 31 March 2026

Abstract Damage detection and localization analysis have gained increasing importance over the years, due to the growing number of catastrophic events and the associated risks that small, undetected cracks in structures may evolve into severe failures if not identified in time. In this context, vibration-based methods have been extensively investigated for structural damage detection. Among them, one of the most widely used approaches since its introduction is the curvature method. It has been successfully employed in numerous studies, consistently providing reliable results. However, the use of second-order or higher-order derivatives can be challenging when dealing with… More >