Mehmet Numan Kaya^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 327-343, 2025, DOI:10.32604/cmes.2025.072000 - 30 October 2025

Abstract This study investigates the influence of mesh resolution and turbulence model selection on the accuracy of numerical simulations for transonic flow, with particular emphasis on shock-boundary layer interaction phenomena. Accurate prediction of such flows is notoriously difficult due to the sensitivity to near-wall resolution, global mesh density, and turbulence model assumptions, and this problem motivates the present work. Two solvers were employed, rhoCentralFoam (unsteady) and TSLAeroFoam (steady-state), both are compressible and density-based and implemented within the OpenFOAM framework. The investigation focuses on three different non-dimensional wall distance (y⁺) values of 1, 2.5 and 5, each implemented… More >

Lakshmi Alekhya Jandhyam^1,*, Ragupathy Rengaswamy¹, Narayana Satyala²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3679-3714, 2025, DOI:10.32604/cmes.2025.068941 - 30 September 2025

Abstract Human Activity Recognition (HAR) has become increasingly critical in civic surveillance, medical care monitoring, and institutional protection. Current deep learning-based approaches often suffer from excessive computational complexity, limited generalizability under varying conditions, and compromised real-time performance. To counter these, this paper introduces an Active Learning-aided Heuristic Deep Spatio-Textural Ensemble Learning (ALH-DSEL) framework. The model initially identifies keyframes from the surveillance videos with a Multi-Constraint Active Learning (MCAL) approach, with features extracted from DenseNet121. The frames are then segmented employing an optimized Fuzzy C-Means clustering algorithm with Firefly to identify areas of interest. A deep ensemble More >

Jianwei Wang^1,2, Xinzhi Yang³, Lvbiao Lin⁴, Jianbo Yu^5,*, Jie Mao^4,*

Oncology Research, Vol.33, No.10, pp. 3023-3040, 2025, DOI:10.32604/or.2025.065380 - 26 September 2025

Abstract Objectives: Glioma, as the most lethal primary brain malignancy with poor prognosis, requires further elucidation on the functional role of long noncoding RNA (lncRNA) DDX11 antisense RNA 1 (DDX11-AS1) in its pathogenesis, despite its established oncogenic functions in other cancers. Therefore, this study sought to characterize the oncogenic role and molecular mechanism of DDX11-AS1 in glioma. Methods: DDX11-AS1 expression levels were analyzed in clinical surgical glioma specimens and publicly available datasets. The functional roles of DDX11-AS1 on glioma cell proliferation and migration were investigated using in vitro knockdown and overexpression assays. In vivo tumor growth was assessed… More > Graphic Abstract

Ning Jia¹, Xiangnan Wang^1,*, Linsheng Han², Hainan Xia¹

Energy Engineering, Vol.122, No.6, pp. 2389-2400, 2025, DOI:10.32604/ee.2025.064891 - 29 May 2025

Abstract With the depletion of fossil fuels and increasing environmental concerns, the development of renewable energy, such as wave energy, has become a critical component of global energy strategies. However, challenges persist in the field testing methodologies for wave energy converters (WECs). In this paper, a numerical wave field of the Dawanshan Island Sea Area in Zhuhai City is constructed based on the MIKE21 SW wave model and by using an NCEP wind field driving model. In conjunction with the IEC-62600-100 standard, by taking site testing of the “Wanshan” wave energy converter on which a sea… More >

Mohammad Barr^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 593-616, 2025, DOI:10.32604/cmes.2025.062264 - 11 April 2025

Abstract Recent years have seen a surge in interest in object detection on remote sensing images for applications such as surveillance and management. However, challenges like small object detection, scale variation, and the presence of closely packed objects in these images hinder accurate detection. Additionally, the motion blur effect further complicates the identification of such objects. To address these issues, we propose enhanced YOLOv9 with a transformer head (YOLOv9-TH). The model introduces an additional prediction head for detecting objects of varying sizes and swaps the original prediction heads for transformer heads to leverage self-attention mechanisms. We… More >

Juan Cheng^1,#, Zhiwei Zhao^2,#, Ling Wang¹, Jirui Wen¹, Yali Miao^3,*, Jiang Wu^1,*

BIOCELL, Vol.49, No.2, pp. 335-348, 2025, DOI:10.32604/biocell.2025.059573 - 28 February 2025

Abstract Objectives: Recently, pre-/post-operative Local Estrogen Therapy (LET) has shown effectiveness in alleviating Pelvic Organ Prolapse (POP) symptoms in clinical therapy. However, there is a lack of scientific evidence to support these claims. Therefore, we aimed to explore the anti-senescence effects and mechanisms of 17β-estradiol (E2) on POP-derived fibroblasts. Methods: The primary fibroblast cells were isolated and cultured from the surgical samples of postmenopausal women clinically diagnosed with pelvic organ prolapse (POP) at stages III-IV (quantified using the POP-Q system) and without any other treatment within 6 months. (n = 12, age 50–75). Colorimetric Cell Counting… More >

Shafi Ullah^1,*, Haidawati Muhammad Nasir², Kushsairy Kadir^3,*, Akbar Khan¹, Ahsanullah Memon⁴, Shanila Azhar¹, Ilyas Khan⁵, Muhammad Ashraf¹

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3223-3249, 2025, DOI:10.32604/cmc.2024.054676 - 17 February 2025

Abstract Machine-to-machine (M2M) communication networks consist of resource-constrained autonomous devices, also known as autonomous Internet of things (IoTs) or machine-type communication devices (MTCDs) which act as a backbone for Industrial IoT, smart cities, and other autonomous systems. Due to the limited computing and memory capacity, these devices cannot maintain strong security if conventional security methods are applied such as heavy encryption. This article proposed a novel lightweight mutual authentication scheme including elliptic curve cryptography (ECC) driven end-to-end encryption through curve25519 such as (i): efficient end-to-end encrypted communication with pre-calculation strategy using curve25519; and (ii): elliptic curve More >

LEI WANG¹, XIANJIN XIE^2,*

Oncology Research, Vol.33, No.1, pp. 123-132, 2025, DOI:10.32604/or.2024.048562 - 20 December 2024

Abstract Background: To investigate SCL/TAL 1 interrupting locus (STIL)’s role and prognostic significance in lung adenocarcinoma (LUAD) progression, we examined STIL and E2 promoter binding factor 1 (E2F1) expression and their impacts on LUAD prognosis using Gene Expression Profiling Interactive Analysis (GEPIA). Methods: Functional assays including CCK-8, wound-healing, 5-ethynyl-2-deoxyuridine (EdU), Transwell assays, and flow cytometry, elucidated STIL and E2F1’s effects on cell viability, proliferation, apoptosis, and migration. Gene set enrichment analysis (GSEA) identified potential pathways, while metabolic assays assessed glucose metabolism. Results: Our findings reveal that STIL and E2F1 are overexpressed in LUAD, correlating with adverse outcomes. It enhances More >

M. Xie^a, W. W. Lu^a, W. Yan^a, Y. C. Wei^a, Y. P. Chen^a,b, J. Xu^a,b,*

Chalcogenide Letters, Vol.21, No.3, pp. 217-227, 2024, DOI:10.15251/CL.2024.213.217

Abstract In this paper, a MoSe₂/TiO₂ composite photocatalyst was constructed by modifying TiO₂ with MoSe₂ as a group catalyst. The results showed that pure TiO₂ and MoSe₂ had no degradation activity for RhB, and the composite catalyst of 0.03 g MoSe₂ had the best photocatalytic degradation activity for RhB. Through SEM, TEM, UV-VIS absorption spectrum, transient photocurrent curve, photoluminescence spectrum, and electrochemical impedance spectrum analysis, it can be seen that the excellent performance of 0.03 g MoSe₂ composite sample is due to its excellent nanostructure, and uniform TiO₂ nanosheets are attached to MoSe₂ flower spheres. The active site of RhB photocatalytic More >

JIAWEI YIN¹, YONGSHENG WANG^2,3, GUANGWEI WEI⁴, MINGXIN WEN^3,*

BIOCELL, Vol.48, No.6, pp. 959-970, 2024, DOI:10.32604/biocell.2024.049349 - 10 June 2024

Abstract Objectives: This study aimed to reveal the role and possible mechanism of the ubiquitin-conjugating enzyme 2T (UBE2T) in the biological activities of breast cancer stem cells (BCSCs). Methods: The specific protein and gene expression were quantified by Western blotting and quantitative real-time polymerase chain reaction, the proportion of BCSCs was examined by flow cytometry, and the self-renewal and proliferation of BCSCs were verified by serial sphere formation and soft agar. Results: Increasing expression of UBE2T was drastically found in breast cancer than that in adjacent tissues. Furthermore, UBE2T overexpression significantly increased the proportion of BCSCs in More >