Justin E. Ka Ip Sun¹, Lin Fu^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.011859

Abstract The inner-outer interaction model (IOIM), first proposed by Marusic et al. [1], based on the amplitude modulation mechanism, has proven to be a successful turbulence model for canonical and non-canonical flows, where a reference velocity signal from the logarithmic region acts as the input for predicting near-wall velocity fluctuations below the reference location. Its most recent iteration by Baars et al. [2] further proposes a user-independent scale separation point, refining model parameters. The IOIM model has been used extensively in various applications, where its framework and amplitude modulation mechanism have been validated in other types… More >

Min Ma^1,2,3,#, Zhuxiu Wang^4,#, Yan Cao⁴, Juanying Yang⁴, Zeliang Zhuang⁵, Linqian Shi^4,*, Qian Gao^4,*

BIOCELL, Vol.49, No.12, pp. 2399-2413, 2025, DOI:10.32604/biocell.2025.071255 - 24 December 2025

Abstract Objectives: Keratin 6A (KRT6A) has been implicated in the progression of multiple malignancies; however, its expression pattern and biological role in cervical cancer (CC) have not been elucidated. This study aims to investigate KRT6A expression in CC tissues and evaluate its effects on cellular proliferation, migration, and invasion, thereby assessing its potential as a biomarker and therapeutic target. Methods: Differentially expressed genes were screened from the Gene Expression Omnibus (GEO) dataset (GSE9750) using the thresholds |log2FC| > 2 and false discovery rate (FDR) < 0.05. Immunohistochemistry was performed to evaluate KRT6A protein expression in tumor… More >

Oncology Research Editorial Offfce

Oncology Research, Vol.33, No.12, pp. 4159-4159, 2025, DOI:10.32604/or.2025.075992 - 27 November 2025

Abstract This article has no abstract. More >

Oncology Research Editorial Offfce

Oncology Research, Vol.33, No.12, pp. 4155-4155, 2025, DOI:10.32604/or.2025.075990 - 27 November 2025

Abstract This article has no abstract. More >

Rawabi S. Altuwayjiri, Ibtesam S. Almami^*

Oncology Research, Vol.33, No.12, pp. 3923-3943, 2025, DOI:10.32604/or.2025.070104 - 27 November 2025

Abstract Objective: Testicular germ cell tumors (TGCTs) represent the most common malignancy among young men aged 20–40 years. Transglutaminase 7 (TG7), encoded by TGM7, is a poorly characterized enzyme whose function in TGCT remains unknown. This study aimed to assess TG7 expression in clinical specimens and investigate its functional role in a testicular germ cell tumor cell line (NT2/D1). Methods: TG7 protein expression was evaluated in clinical testicular tissue samples via immunohistochemistry (IHC) and immunofluorescence (IF). Functional analysis was conducted in the NT2/D1 human testicular cancer cell line using Dicer-substrate small interfering RNAs (DsiRNAs) targeting TG7. Gene… More >

Fangyuan Li^1,2,#, Xiaoyuan Hu^1,#, Xiaoge Gao³, Ling Liu³, Tao Li¹, Dan He¹, Jiaxing Cheng¹, Xiaobiao Ma¹, Li Li^1,*, Chunlei Ge^1,*, Hong Yao^1,*

Oncology Research, Vol.33, No.12, pp. 4029-4048, 2025, DOI:10.32604/or.2025.067628 - 27 November 2025

Abstract Background: Liver cancer stem cells (LCSCs) are recognized as pivotal drivers of hepatocellular carcinoma (HCC) progression; however, the molecular mechanisms maintaining their stem-like phenotype remain largely unresolved. This work investigates the role of prefoldin subunit 6-like protein (PFDN6L) in shaping LCSC traits and promoting or restraining HCC progression. Methods: PFDN6L, a cytoskeleton-associated chaperone, was studied using multiple in vitro assays—cell growth evaluation, cell cycle profiling, and spheroid culture—alongside analyses of stemness-associated markers (SOX2, CD133, CD44). Tumorigenic capacity was assessed in xenograft mouse models, and signaling pathway interrogation was performed to define underlying mechanisms. Results: In patient samples, More >

S. Srinivasa senthil, K. Vijayakumar^*

Energy Engineering, Vol.122, No.12, pp. 5149-5173, 2025, DOI:10.32604/ee.2025.070889 - 27 November 2025

Abstract Heating, ventilation, and air conditioning (HVAC) systems contribute substantially to global energy consumption, while rejecting significant amounts of low-grade heat into the environment. This paper presents a non-intrusive spiral-coil heat exchanger designed to recover waste heat from the outdoor condenser of a split-type air conditioner. The system operates externally without altering the existing HVAC configuration, thereby rendering it suitable for retrofitting. Water was circulated as the working fluid at flow rates of 0.028–0.052 kg/s to assess thermal performance. Performance indicators, including the outlet water temperature, heat transfer rate, convective coefficient, and efficiency, were systematically evaluated.… More >

Shuxin Tan¹, Wei Yan², Lei Zhao¹, Xianglin Zhang^3,*, Ziqiang Man², Yu Lu², Teng Liu², Gaoyue Zhong², Weiqun Liu², Linjun Shi³

Energy Engineering, Vol.122, No.12, pp. 5175-5197, 2025, DOI:10.32604/ee.2025.068692 - 27 November 2025

Abstract The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency. While doubly-fed pumped storage units (DFPSUs) offer frequency regulation potential in pumping mode, conventional strategies fail to address hydraulic-mechanical coupling dynamics and operational constraints, limiting their effectiveness. This paper presents an innovative primary frequency control strategy for double-fed pumped storage units (DFPSUs) operating in pumping mode, integrating an adaptive parameter calculation method. This method is constrained by operational speed and power limits, addressing key performance factors. A dynamic model that incorporates the reversible pump-turbine characteristics is developed to translate frequency deviations… More >

Zhe Liu^1,2,3,*, Sijia Zhu⁴, Yulong Huang^1,*, Tapan Senapati^5,6,7, Xiangyu Li⁸, Wulfran Fendzi Mbasso⁹, Himanshu Dhumras¹⁰, Mehdi Hosseinzadeh^11,12,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2157-2188, 2025, DOI:10.32604/cmes.2025.072352 - 26 November 2025

Abstract Uncertainty and ambiguity are pervasive in real-world intelligent systems, necessitating advanced mathematical frameworks for effective modeling and analysis. Fermatean fuzzy sets (FFSs), as a recent extension of classical fuzzy theory, provide enhanced flexibility for representing complex uncertainty. In this paper, we propose a unified parametric divergence operator for FFSs, which comprehensively captures the interplay among membership, non-membership, and hesitation degrees. The proposed operator is rigorously analyzed with respect to key mathematical properties, including non-negativity, non-degeneracy, and symmetry. Notably, several well-known divergence operators, such as Jensen-Shannon divergence, Hellinger distance, and χ²-divergence, are shown to be special cases More >

Kunjabihari Swain¹, Murthy Cherukuri^1,*, Indu Sekhar Samanta², Bhargav Appasani^3,*, Nicu Bizon^4,5, Mihai Oproescu⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1993-2015, 2025, DOI:10.32604/cmes.2025.067121 - 26 November 2025

Abstract Transmission line faults pose a significant threat to power system resilience, underscoring the need for accurate and rapid fault identification to facilitate proper resource monitoring, economic loss prevention, and blackout avoidance. Extreme learning machine (ELM) offers a compelling solution for rapid classification, achieving network training in a single epoch. Leveraging the Internet of Things (IoT) and the virtual instrumentation capabilities of LabVIEW, ELM can enable the swift and precise identification of transmission line faults. This paper presents a regularized radial basis function (RBF) ELM-based fault detection and classification system for transmission lines, utilizing a LabVIEW More >