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  • Open Access

    ARTICLE

    Federated Learning with Consistency Optimization Algorithms under Non-IID Data

    Rui Wu1, Yehong Li2, Hongjie Guo3,*, Gangqiang Hu3, Changjun Zhou3,*, Qile Zou4

    CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.083715 - 13 August 2026

    Abstract Federated learning (FL) enables collaborative training of deep neural architectures while preserving data privacy, yet its performance often deteriorates in non-IID scenarios, which stems from client-side distribution drift and divergent local updates induced by pervasive data heterogeneity. This challenge is particularly critical for maintaining the structural consistency and generalization of neural models across diverse, distributed sources with significant distribution shifts. In this paper, we investigate how to effectively mitigate label distribution shift and feature distribution skew to enhance the global representation stability of neural architectures. We propose Federated Learning with Consistency Optimization Algorithms (FedCO), a… More >

  • Open Access

    ARTICLE

    Single-Cell Sequencing Reveals the Heterogeneity of Glioma and Identifies IGFBP2 as A Potential Therapeutic Target

    Jian-Lei Kang1,2, Yu-Jie Xu3, Qi-Tai Zhao4, Bing Zhang5, Xin Xu2,*, Bo Yang1,*

    Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079221 - 16 June 2026

    Abstract Background: Glioma is among the most malignant brain tumors, and its heterogeneity contributes significantly to treatment failure. Comprehensive profiling of cellular and molecular heterogeneity across different glioma stages and recurrence states is crucial for understanding therapeutic resistance and identifying novel targets. Accordingly, this study sought to systematically characterize the cellular and molecular heterogeneity of glioma across different stages and recurrence states using single-cell RNA sequencing, and to identify prognostic subtypes and potential therapeutic targets. Methods: We integrated public single-cell RNA sequencing data from glioma specimens, including lower-grade glioma (LGG), glioblastoma (GBM), and paired primary and recurrent… More >

  • Open Access

    ARTICLE

    Urbanization-Driven Indirect Effects on Vegetation: Spatial Heterogeneity and Long- and Short-Run Dynamics in Nanjing

    Xiankai Ji1,2, Manchun Li1,2,*, Nan Xia1,2,3

    Revue Internationale de Géomatique, Vol.35, pp. 315-332, 2026, DOI:10.32604/rig.2026.084921 - 11 June 2026

    Abstract Against the backdrop of rapid global urbanization, revealing the indirect ecological effects triggered by urban environmental restructuring and human management interventions carries early-warning significance for preventing cliff-like vegetation degradation driven by unchecked urban expansion. Existing studies predominantly rely on linear assumptions and neglect the temporal lags inherent in ecological responses, making it difficult to capture the long-run and short-run dynamics as well as potential nonlinear thresholds of indirect impacts. Using Nanjing as the study region, this research constructs a spatiotemporal panel dataset at 1 km × 1 km resolution based on multi-source remote sensing data… More >

  • Open Access

    ARTICLE

    Claudin 18.2 Expression in Gastric Adenocarcinoma: Diagnostic Reproducibility and Clinicopathologic Associations in A Western Cohort

    Cristina Díaz del Arco1,2,*, Luis Ortega Medina1,2, Patricia Barreiro Sanabria2, Andrés Sánchez Pernaute3, Lourdes Estrada Muñoz4, Elena Molina Roldán5, María Jesús Fernández Aceñero1,2

    Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.075609 - 21 May 2026

    Abstract Background: Claudin 18.2 (CLDN18.2) has become a clinically relevant therapeutic target in gastric adenocarcinoma (GC), with zolbetuximab now approved for use in CLDN18.2-positive, HER2-negative advanced disease. The aim of this study was to evaluate the prevalence, intratumoral reproducibility, and clinicopathologic associations of CLDN18.2 expression in a Western cohort of resected GC. Methods: CLDN18.2 expression was evaluated by immunohistochemistry in 204 resected GCs arranged in tissue microarrays containing duplicate tumor cores corresponding to the tumor center and invasive front. Correlations between paired cores, clinicopathologic parameters, additional biomarkers (E-cadherin, HER2, p53, mismatch repair (MMR)), and clinical outcomes were… More >

  • Open Access

    ARTICLE

    Integrative Analysis of scRNA-Seq and Bulk RNA-Seq Reveals Novel Transcription Factor Regulating Endothelial Heterogeneity Induced by Lrg1 Following Cerebral Ischemia-Reperfusion

    SHAOFENG XIONG1,2, WENKAI LV3, GUOSHENG CAO4, LONGSHENG FU1, WEN LIU3, MENGFAN LEI2, YANNI LV1,5,*

    BIOCELL, Vol.50, No.1, 2026, DOI:10.32604/biocell.2025.073401 - 23 January 2026

    Abstract Objective: Leucine-rich alpha-2 glycoprotein 1 (Lrg1) could regulate diverse cells in cerebral ischemia-reperfusion. Our study seeks to uncover Lrg1’s impact on endothelial cell heterogeneity via differentiation pathways and transcription factors. Method: The CSOmap model measured cell-to-brain-center distances using single-cell RNA sequencing (scRNA-seq) data in middle cerebral artery occlusion reperfusion (MCAO/R). Monocle2 mapped endothelial differentiation paths. Gene set enrichment analysis (GSEA) analyzed endothelial subcluster variations. Database searches revealed a zinc finger MIZ-type containing 1 protein-frizzled 3 (Zmiz1-Fzd3) promoter interaction. Endothelial cells were transfected with a Fzd3 promoter-luciferase plasmid. Polymerase chain reaction (PCR) and western blotting assessed… More >

  • Open Access

    ARTICLE

    FedDPL: Federated Dynamic Prototype Learning for Privacy-Preserving Malware Analysis across Heterogeneous Clients

    Danping Niu1, Yuan Ping1,*, Chun Guo2, Xiaojun Wang3, Bin Hao4

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073630 - 12 January 2026

    Abstract With the increasing complexity of malware attack techniques, traditional detection methods face significant challenges, such as privacy preservation, data heterogeneity, and lacking category information. To address these issues, we propose Federated Dynamic Prototype Learning (FedDPL) for malware classification by integrating Federated Learning with a specifically designed K-means. Under the Federated Learning framework, model training occurs locally without data sharing, effectively protecting user data privacy and preventing the leakage of sensitive information. Furthermore, to tackle the challenges of data heterogeneity and the lack of category information, FedDPL introduces a dynamic prototype learning mechanism, which adaptively adjusts the More >

  • Open Access

    REVIEW

    Immune Checkpoint Inhibitors Combined with Oncolytic Virotherapy: Synergy, Heterogeneity, and Safety in Cancer Treatment

    Yi Feng1,#, Haoxin Yang2, Guicai Liang1, Jun Chen3, Tao Li1, Yingjuan Wang4, Jilin Chang1, Yan Li3, Meng Yang1, Xilong Zhou1, Zhiqiang Wang5,*, Chunlei Ge1,*

    Oncology Research, Vol.33, No.12, pp. 3801-3836, 2025, DOI:10.32604/or.2025.067824 - 27 November 2025

    Abstract Immune checkpoint inhibitor (ICI) has limited efficacy in the treatment of immune “cold” tumors. Due to insufficient T cell infiltration and heterogeneous programmed death ligand 1 (PD-L1) expression, the ORR is only 5%–8% compared with 30%–40% of “hot” tumors. This article reviews the synergistic mechanism, clinical efficacy and optimization strategy of oncolytic virus (OVs) combined with ICIs in the treatment of refractory malignant tumors. Systematic analysis of mechanistic interactions across tumor types and clinical trial data demonstrates that OVs transform the immunosuppressive microenvironment by inducing immunogenic cell death and activating innate immunity. Concurrently, ICIs enhance… More >

  • Open Access

    ARTICLE

    Impact of Permeability Heterogeneity on Methane Hydrate Production Behavior during Depressurization with Controlled Sand Production

    Junyu Deng1,2, Rui Zhang1,*, Xudong Zhao3, Hongzhi Xu1,2, Peng Ji1, Zizhen Zhang1, Yifan Yang1

    Energy Engineering, Vol.122, No.10, pp. 4153-4168, 2025, DOI:10.32604/ee.2025.065906 - 30 September 2025

    Abstract Field tests have demonstrated that depressurization with controlled sand production is an effective technique for natural gas hydrate extraction. Variations in depositional environments and processes result in significant heterogeneity within subsea natural gas hydrate-bearing sediments. However, the influence of permeability heterogeneity on production performance during depressurization with controlled sand production remains inadequately understood. In this study, a multiphase, multi-component mathematical model is developed to simulate depressurization with controlled sand production in methane hydrate-bearing sediments, incorporating geological conditions representative of unconsolidated argillaceous siltstone hydrate deposits in the Shenhu area of the South China Sea. The effects… More >

  • Open Access

    REVIEW

    Earth Observation for Comprehensive Soil Health Assessment and Monitoring

    Lachezar Filchev1,*, Milen Chanev1, Galin Petrov2

    Revue Internationale de Géomatique, Vol.34, pp. 513-533, 2025, DOI:10.32604/rig.2025.064280 - 06 August 2025

    Abstract This review article provides a comprehensive analysis of Earth Observation (EO) applications for soil health assessment in Europe and abroad. The study explores the effectiveness of EO in capturing contextual information about various soil properties and conditions, as well as its role in monitoring soil health over time. The authors examine the current state of operational, semi-operational, and developing EO products and services relevant to soil health indicators. These include vegetation cover, forest cover, soil organic carbon, soil structure, landscape heterogeneity, and the presence of soil pollutants, excess nutrients, and salts. The review identifies gaps… More > Graphic Abstract

    Earth Observation for Comprehensive Soil Health Assessment and Monitoring

  • Open Access

    ARTICLE

    Numerical Simulation on Depressurization-Driven Production of Class I Hydrate Deposits with Transition Layer and Perforation Modes Optimization

    Yajie Bai1,*, Jian Hou2,3, Yongge Liu2,3

    Energy Engineering, Vol.122, No.6, pp. 2503-2518, 2025, DOI:10.32604/ee.2025.063198 - 29 May 2025

    Abstract Natural gas hydrate widely exists in the South China Sea as clean energy. A three-phase transition layer widely exists in low permeability Class I hydrates in the Shenhu offshore area. Therefore, taking into account the low-permeability characteristics with an average permeability of 5.5 mD and moderate heterogeneity, a 3-D geological model of heterogeneous Class I hydrate reservoirs with three-phase transition layers is established by Kriging interpolation and stochastic modeling method, and a numerical simulation model is used to describe the depressurization production performance of the reservoir. With the development of depressurization, a specific range of… More >

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