Crystal J. Byrd¹, Monasia Evans¹, Woojung Kim², Quintera Knight³, Geou-Yarh Liou^1,2,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.073532 - 23 March 2026

Abstract Objective: The progression of prostate cancer cells to metastasis is supported by their tumor microenvironment. Within this microenvironment, infiltrating immune cells, such as B cells, can be either anti-tumorigenic or pro-tumorigenic. Our preliminary data showed that a higher density of the infiltrating B cells was found near prostate cancer cells in human cancer tissues, as compared to the benign prostate tissue regions, thus suggesting that infiltrating B cells would promote the progression of prostate cancer cells. In this study, we aim to investigate the role of infiltrating B cells in enhancing the migratory ability of… More >

Shuwen Sun^1,2,3,4,#, Jingcheng Zhang^1,2,3,#, Zongtai Zheng^5,#, Yajuan Hao^1,3, Tianyuan Xu^1,2,3, Ji Liu^1,3, Liang Sun², Aimin Wang², Yadong Guo^1,3, Shiyu Mao^1,3, Xu Zhang⁶, Yunfei Xu^1,3,*, Yifan Chen^1,2,3,*, Yang Yan^1,2,3,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.072373 - 23 March 2026

Abstract Objectives: Bladder cancer (BCa) progression is closely linked to the immune microenvironment. However, the key molecules that regulate this microenvironment and their specific mechanisms remain poorly understood. This study aims to identify a key molecule and elucidate its mechanisms, providing a theoretical basis for identifying novel therapeutic targets. Methods: Immune microenvironment-related genes in BCa were identified using The Cancer Genome Atlas and Shanghai Tenth People’s Hospital datasets. Proteasome 26S subunit non-ATPase 2 (PSMD2) expression was validated via quantitative polymerase chain reaction (qPCR), Western blot (WB) analysis, and immunofluorescence (IF). In vitro and in vivo experiments confirmed the… More > Graphic Abstract

Yingying Zhao^1,2, Jiakang Ma^2,3, Rujin Huang^1,2, Shuxian Pan^2,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.070208 - 23 March 2026

Abstract Background: Cancer-associated fibroblasts (CAFs) play critical roles in tumor progression and immunosuppression; however, their contribution to the functional classification and personalized treatment of gastric cancer remains poorly defined. This study aimed to identify effective therapeutic targets to facilitate individualized treatment strategies for patients with gastric cancer. Methods: Single-cell and bulk transcriptomic analyses were integrated to characterize gastric cancer fibroblasts. “Seurat”, “Slingshot”, and “CellChat” were used for dimensionality reduction, trajectory inference, and cell–cell communication analyses, respectively. Key metastasis-associated fibroblast modules were identified using High-dimensional weighted gene co-expression network analysis (hdWGCNA) to construct a prognostic model, which was further… More > Graphic Abstract

Thi-Loan Nguyen^1,2,*, Huy-Nam Chu³, The-Thanh Hua³, Trung-Nghia Phung², Van-Hung Le^3,*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.076732 - 12 March 2026

Abstract To support the process of grasping objects on a tabletop for the blind or robotic arm, it is necessary to address fundamental computer vision tasks, such as detecting, recognizing, and locating objects in space, and determining the position of the grasping information. These results can then be used to guide the visually impaired or to execute grasping tasks with a robotic arm. In this paper, we collected, annotated, and published the benchmark TQU-GraspingObject dataset for testing, validation, and evaluation of deep learning (DL) models for detecting, recognizing, and localizing grasping objects in 2D and 3D… More >

Suman Sukhavasi, Thinagaran Perumal^*, Norwati Mustapha, Razali Yaakob

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075613 - 12 March 2026

Abstract The Internet of Things (IoT) ecosystem is inherently heterogeneous, comprising diverse devices that must interoperate seamlessly to enable federated message and data exchange. However, as the number of service requests grows, existing approaches suffer from increased discovery time and degraded Quality of Service (QoS). Moreover, the massive data generated by heterogeneous IoT devices often contain redundancy and noise, posing challenges to efficient data management. To address these issues, this paper proposes a lightweight ontology-based architecture that enhances service discovery and QoS-aware semantic data management. The architecture employs Modified-Ordered Points to Identify the Clustering Structure (M-OPTICS)… More >

Yuanmeng Chang, Hongmei Liu^*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.074204 - 12 March 2026

Abstract Driven by rapid advances in deep learning, object detection has been widely adopted across diverse application scenarios. However, in low-light conditions, critical visual cues of target objects are severely degraded, posing a significant challenge for accurate low-light object detection. Existing methods struggle to preserve discriminative features while maintaining semantic consistency between low-light and normal-light images. For this purpose, this study proposes a DL-YOLO model specially tailored for low-light detection. To mitigate target feature attenuation introduced by repeated downsampling, we design a Multi-Scale Feature Convolution (MSF-Conv) module that captures rich, multi-level details via multi-scale feature learning, More >

Rui Yao^1,2, Yuye Wang^1,2,*, Fei Yu^1,2,3,*, Hongrun Wu^1,2, Zhenya Diao^1,2

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.073861 - 12 March 2026

Abstract Path planning for Unmanned Aerial Vehicles (UAVs) in complex environments presents several challenges. Traditional algorithms often struggle with the complexity of high-dimensional search spaces, leading to inefficiencies. Additionally, the non-linear nature of cost functions can cause algorithms to become trapped in local optima. Furthermore, there is often a lack of adequate consideration for real-world constraints, for example, due to the necessity for obstacle avoidance or because of the restrictions of flight safety. To address the aforementioned issues, this paper proposes a dynamic weighted spherical particle swarm optimization (DW-SPSO) algorithm. The algorithm adopts a dual Sigmoid-based More >

Jinwei Mao^1,2, Wang Luo^1,2,*, Jiangtao Xu³, Daohua Zhu³, Wei Liang³, Zhechen Huang³, Bao Feng^1,2, Shuang Yang^1,2

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.072505 - 12 March 2026

Abstract With the rapid development of power Internet of Things (IoT) scenarios such as smart factories and smart homes, numerous intelligent terminal devices and real-time interactive applications impose higher demands on computing latency and resource supply efficiency. Multi-access edge computing technology deploys cloud computing capabilities at the network edge; constructs distributed computing nodes and multi-access systems and offers infrastructure support for services with low latency and high reliability. Existing research relies on a strong assumption that the environmental state is fully observable and fails to thoroughly consider the continuous time-varying features of edge server load fluctuations,… More >

Taher Maatallah^1,*, Nagmeldeen A. M. Hassanain¹, Gaydaa Al Zohbi², Farooq Saeed¹, Muhammad Saleem¹, Nassir Hariri¹, Mohamed Elsharawy³, Tapas Kumar Mallick^1,4, Fahad Gallab Al-Amri¹

Frontiers in Heat and Mass Transfer, Vol.24, No.1, 2026, DOI:10.32604/fhmt.2026.075763 - 28 February 2026

Abstract High-concentration photovoltaic (HCPV) systems present significant thermal management challenges due to the intense heat fluxes generated under concentrated solar irradiation, especially in arid environments. Effective heat dissipation is critical to prevent performance degradation and structural failure. This study investigates the thermal performance and design optimization of an enhanced HCPV module, integrating numerical, analytical, and experimental methods. A coupled optical-thermal-electrical model was developed to simulate ray tracing, heat transfer, and temperature-dependent electrical behaviour, with predictions validated under real-world desert conditions. Compared to a baseline commercial module operating at 106°C, the optimized design achieved a peak temperature More >

Yendoubouame Lare^1,2,*, Koffi Sagna^1,2, Amah Séna d’Almeida³

Frontiers in Heat and Mass Transfer, Vol.24, No.1, 2026, DOI:10.32604/fhmt.2025.074506 - 28 February 2026

Abstract This study presents a numerical investigation of the transient relaxation dynamics of a near-critical CO₂ droplet immersed in a warmer supercritical environment composed of the same fluid. Three thermodynamic regimes were analysed: quasi-critical (Tr=1.01,Pr=1.01), transitional (Tr=2.01,Pr=1.01), and deep supercritical (Tr=5.01,Pr=3.01). The evolution of density, temperature, and velocity fields was examined to characterize the internal structure and stability of the interfacial transition layer. The evolution of density, temperature, and velocity fields highlights the competition between thermal diffusion, compressibility, and mass confinement in shaping the stability of the interfacial transition layer. Near the critical point, strong More >