Changjun Zhou¹, Dongfang Chen¹, Chenyang Shi¹, Taiyong Li^2,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073662 - 12 January 2026

Abstract With the rapid development of smart manufacturing, intelligent safety monitoring in industrial workshops has become increasingly important. To address the challenges of complex backgrounds, target scale variation, and excessive model parameters in worker violation detection, this study proposes ADCP-YOLO, an enhanced lightweight model based on YOLOv8. Here, “ADCP” represents four key improvements: Alterable Kernel Convolution (AKConv), Dilated-Wise Residual (DWR) module, Channel Reconstruction Global Attention Mechanism (CRGAM), and Powerful-IoU loss. These components collaboratively enhance feature extraction, multi-scale perception, and localization accuracy while effectively reducing model complexity and computational cost. Experimental results show that ADCP-YOLO achieves a More >

Keiko Yanagihara^1,*, Masato Yoshida², Kensaku Awaji², Tamami Yamakawa¹, Sena Kato¹, Miki Tamura¹, Koji Nagata³

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.073891 - 30 December 2025

Abstract Background: Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors have transformed the management of hormone receptor–positive/HER2–negative (HR+/HER2–) advanced breast cancer, yet evidence for elderly or poor-performance patients remains limited. This study examined real-world outcomes of palbociclib plus endocrine therapy in Asian patients, with additional subgroup analyses by age and performance status. Methods: We retrospectively analyzed 46 consecutive Asian patients with recurrent or de novo HR+/HER2− breast cancer treated with first-line palbociclib plus ET between April 2021 and March 2025. The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall response rate (ORR), disease control rate (DCR), and safety.… More >

Sandra Kałużna^1,*, Monika Świerczewska^1,2, Sylwia Ciesiółka¹, Małgorzata Partyka¹, Michał Nowicki¹, Karolina Wojtowicz¹

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070356 - 30 December 2025

Abstract The last research focuses on the role of exosomes in cancer treatment. Exosomes are extracellular vesicles. They can be secreted by cancer cells, and they can modulate chemotherapy sensitivity. Determining exosomal content opens the possibility for guiding treatment strategies for cancer diseases. Exosomal microRNA are considered one of the prime candidates for exosomal biomarkers. Exosomal circular RNAs represent excellent biomarkers for liquid biopsy because of their stability in many types of cancer. Exosomal proteins remain reliable biomarkers also. Exosomes have emerged as promising therapeutic candidates. Their biological properties render them ideal vectors for drug delivery.… More >

Tao Zhu¹, Taofeng Wei¹, Mingdong Yang¹, Junjun Xu¹, Huifang Jiang¹, Wei He¹, Juyan Zheng^2,*, Haibin Dai^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070180 - 30 December 2025

Abstract Background: Aberrant expression of transcription factors (TFs) is a key mechanism mediating tumor immune escape and therapeutic resistance. The involvement of E26 transformation-specific (ETS) family of TFs in immune regulation is not fully understood. The study aimed to elucidate the function of E-twenty-six variant 4 (ETV4) in tumor immune evasion and its potential as a predictive biomarker for immunotherapy in melanoma. Methods: The expression patterns of ETS family TFs were analyzed in melanoma and hepatocellular carcinoma (HCC). Single-cell RNA sequencing (scRNA-seq) was used to dissect the cellular expression and function of ETV4 in the tumor… More >

Yongle Qiu^1,#, Kunshan Li^1,#, Wenjing Wang¹, Wenjuan Zhang², Jilun Liu², Yang Bai³, Fei Xu³, Jie Guo^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069612 - 30 December 2025

Abstract Background: The regulatory mechanisms governing vasculogenic mimicry (VM) in oral squamous cell carcinoma (OSCC) remain largely undefined. This study aimed to identify critical factors and elucidate the epigenetic mechanisms underlying VM in OSCC. Methods: Bioinformatics analysis was performed utilizing single-cell RNA-seq, bulk RNA-seq, and histone H3 lysine 27 acetylation (H3K27ac) Chromatin Immunoprecipitation (ChIP)-seq data obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. ChIP-qPCR was used to validate the binding of ETS transcription factor ELK4 (ELK4) to the dihydrofolate reductase (DHFR) enhancer. In vitro VM formation and invasion of OSCC cells were… More > Graphic Abstract

Xu Guo¹, Yanan Yu², Xiaolin Ma³, Yuanjie Cai^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069274 - 30 December 2025

Abstract Background: Long non-coding RNAs (lncRNAs) act as epigenetic regulators for tumor hallmarks. This investigation sought to probe the carcinogenic trait of PAN3-AS1 across pan-cancer comprehensively. Methods: We studied the diagnostic and prognostic features and the immune landscape of PAN3-AS1 across pan-cancer by bioinformatics approaches. The hierarchical regulatory networks governing PAN3-AS1 expression in colon cancer were explored via chromatin immunoprecipitation, luciferase activity assays, and RNA immunoprecipitation, etc. We screened drugs sensitive to WAP four-disulfide core domain 13 (WFDC13) by virtual screening and molecular docking. Results: Single-cell transcriptomics demonstrated that a variety of immune populations abnormally expressed PAN3-AS1… More >

M. N. Abd-Al Ameer, Iman S. Kareem, Ali A. Ismaeel^*

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.073437 - 27 December 2025

Abstract Electrical and electronic devices face significant challenges in heat management due to their compact size and high heat flux, which negatively impact performance and reliability. Conventional cooling methods, such as forced air cooling, often struggle to transfer heat efficiently. In contrast, thermoelectric coolers (TECs) provide an innovative active cooling solution to meet growing thermal management demands. In this research, a refrigerant based on mono ethylene glycol and distilled water was used instead of using gases, in addition to using thermoelectric cooling units instead of using a compressor in traditional refrigeration systems. This study evaluates the… More > Graphic Abstract

Hongyu Wang¹, Wenwu Cui¹, Kai Cui¹, Zixuan Meng^2,*, Bin Li², Wei Zhang¹, Wenwen Li¹

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069576 - 27 December 2025

Abstract To achieve low-carbon regulation of electric vehicle (EV) charging loads under the “dual carbon” goals, this paper proposes a coordinated scheduling strategy that integrates dynamic carbon factor prediction and multi-objective optimization. First, a dual-convolution enhanced improved Crossformer prediction model is constructed, which employs parallel 1 × 1 global and 3 × 3 local convolution modules (Integrated Convolution Block, ICB) for multi-scale feature extraction, combined with an Adaptive Spectral Block (ASB) to enhance time-series fluctuation modeling. Based on high-precision predictions, a carbon-electricity cost joint optimization model is further designed to balance economic, environmental, and grid-friendly objectives.… More > Graphic Abstract

Salahudin Robo^1,2, Triyanna Widiyaningtyas^1,*, Wahyu Sakti Gunawan Irianto¹

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.073011 - 09 December 2025

Abstract Recommendation systems are an integral and indispensable part of every digital platform, as they can suggest content or items to users based on their respective needs. Collaborative filtering is a technique often used in various studies, which produces recommendations by analyzing similarities between users and items based on their behavior. Although often used, traditional collaborative filtering techniques still face the main challenge of sparsity. Sparsity problems occur when the data in the system is sparse, meaning that only a portion of users provide feedback on some items, resulting in inaccurate recommendations generated by the system.… More >

Meixi Chu¹, Xinyu Jiang^1,*, Yushu Tao²

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-23, 2026, DOI:10.32604/cmc.2025.071533 - 09 December 2025

Abstract Industrial operators need reliable communication in high-noise, safety-critical environments where speech or touch input is often impractical. Existing gesture systems either miss real-time deadlines on resource-constrained hardware or lose accuracy under occlusion, vibration, and lighting changes. We introduce Industrial EdgeSign, a dual-path framework that combines hardware-aware neural architecture search (NAS) with large multimodal model (LMM) guided semantics to deliver robust, low-latency gesture recognition on edge devices. The searched model uses a truncated ResNet50 front end, a dimensional-reduction network that preserves spatiotemporal structure for tubelet-based attention, and localized Transformer layers tuned for on-device inference. To reduce… More >