Xiusen Wang^1,*, Zheng Fang², Jie Chen^2,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.088952 - 15 September 2026

Abstract Complex networks in cyber–physical, transportation, and information infrastructures operate under topology variations, unmeasured disturbances, and limited actuation. This paper proposes robust disturbance-aware data-driven decision control (R-D3C), which couples a sliding-window graph-regularized estimator, disturbance-envelope adaptation, sparse intervention allocation, receding-horizon optimization, and a robust safety projection. The theory directly bounds the dynamic prediction regret of the implemented sliding-window estimator. A checkable sufficient condition for safety-filter feasibility is coupled with an explicit slack-and-backup fallback when the strict projection is infeasible. Practical input-to-state stability and sparse-allocation risk reduction are established. The nominal comparison uses 30 paired runs with standard More >

Oyku Berfin Mercan^1,2, Nezihe Turhan Turan³, Aytuğ Onan^4,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.087209 - 15 September 2026

Abstract Biomedical texts naturally contain multiple biological and medical concepts within a document, resulting in a semantically rich and complex structure. Consequently, multi-label text classification (MLTC) has become a suitable framework for comprehensively modeling biomedical texts, including clinical reports, laboratory records, and scientific abstracts. However, relying solely on contextual language representations may be insufficient to explicitly reflect the broader scientific focus and conceptual orientation of a document. In this study, the MLTC problem in the biomedical domain is investigated using the Hallmarks of Cancer (HoC) dataset. Topic probability distributions obtained from CombinedTM are incorporated as an… More >

Rongfa Chen^1,*, Liping Chen², Xiuzhe Meng¹, Daniel Zeng^1,2,3

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.086702 - 15 September 2026

Abstract Existing fake news detection methods largely rely on single-source datasets, leading models to overfit platform-specific features and perform poorly on heterogeneous multi-source data. Even with the emergence of Large Language Models (LLMs), our benchmarks show that general-purpose LLMs still struggle to identify deceptive intent when source-specific context is unavailable. To address unseen-source-group generalization, we propose SHIELD (Social Heterogeneous Interaction Embedding for Latent Deception). SHIELD models interaction patterns shared across sources rather than relying only on isolated text features or semantic inference. Specifically, we construct a Social Reaction-Aware Heterogeneous Interaction Graph to capture consistencies and discrepancies… More >

Hadeel Alsolai¹, Muhammad Waqas Ahmed², Bayan Alabdullah¹, Fatimah Alhayan¹, Mohammed Alonazi³, Ahmad Jalal^4,5, Jeongmin Park^6,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.085838 - 15 September 2026

Abstract Robust scene-level classification and semantic understanding from aerial and disaster-related imagery are essential for intelligent vision systems deployed in emergency response, UAV-based monitoring, and safety-critical environments. However, existing deep learning approaches, including convolutional neural networks and Vision Transformers (ViTs), often struggle to simultaneously capture fine-grained local object characteristics and global semantic scene context, while also lacking reliable uncertainty estimation mechanisms for trustworthy decision-making. To address these limitations, this paper proposes MS-SLCA-ViT, a novel multi-scale scene–local cross-attention Vision Transformer framework for robust and uncertainty-aware image scene understanding. The proposed architecture introduces three major contributions. First, a… More >

Hassaan Idrees^1,*, Pattabhi Ramaiah Budarapu², Marco Paggi^1,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.085634 - 15 September 2026

Abstract Hail impacts on photovoltaic laminates generate strongly nonlinear contact forces whose polynomial restoring form and coefficients govern the resulting damage pattern. Predicting the dynamic response across a range of impact velocities, and inferring substrate properties from post-event vibration measurements, are two tasks that classical time-integration schemes do not address in a unified manner. This work develops a physics-informed neural network (PINN) framework that handles both. For the forward problem, the network is conditioned on the initial velocity and trained simultaneously at four representative hail-impact speeds, i.e., $v_0\in \{2,3,4,6\}$ m/s, so that it learns… More >

Zishi Li, Xiaodong Huang^*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.084782 - 15 September 2026

Abstract Micro-expression recognition (MER) is a challenging task because micro-expressions are extremely short in duration, weak in intensity, and often distributed over subtle local facial regions. Existing methods either rely on handcrafted descriptors with limited representation capacity or focus on single-stream deep models that do not fully exploit structural facial dependency and cross-modal complementarity. As a result, they often fail to effectively capture subtle local muscle activations, model structured facial interactions, and robustly integrate complementary motion and appearance cues, especially under the weak-motion conditions characteristic of micro-expressions. To address these limitations, this paper proposes a Dual-Stream… More >

Qingqing Liu^1,2,#, Lei Li^3,4,#, Kumar Ganesan^1,2, Yang Jiang⁵, Kewu Zeng⁶, Yue Sui^1,2, Xinyuan Guan^2,7, Rongfang He^3,*, Jianping Chen^1,2,*

Oncology Research, Vol.34, No.10, 2026, DOI:10.32604/or.2026.082536 - 14 September 2026

Abstract Objectives: Sorting nexin 9 (SNX9) participates in endocytic trafficking and has been connected to several malignancies, but its involvement in breast cancer (BC) remains incompletely resolved. This work was designed to examine whether SNX9 supports BC progression and investigate signaling and cytoskeletal processes associated with its activity. Methods: The clinical relevance of SNX9 was assessed using bioinformatics analysis of publicly available cancer databases. Lentiviral vectors were used to establish BC cell models with stable SNX9 overexpression or knockdown. Both cellular (proliferation and motility) and murine (tumor growth and metastatic colonization) experiments were implemented to functionally characterize… More >

Li Li^1,#, Jianhua Wang^1,#, Feilong Zhou², Lingjun Geng^1,*, Kongwang Hu^1,*

Oncology Research, Vol.34, No.10, 2026, DOI:10.32604/or.2026.080204 - 14 September 2026

Abstract Background: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, with limited treatment options for advanced-stage patients. DNA polymerase theta (POLQ) is overexpressed in various cancers, but its role and underlying mechanisms in CRC remain not fully elucidated. This study aimed to investigate the expression, prognostic value, biological functions, and molecular mechanisms of POLQ in CRC. Methods: POLQ expression was analyzed using public databases and 55 paired clinical samples. Lentivirus-mediated knockdown and overexpression were employed to assess CRC cell proliferation, migration, and invasion. Single-cell transcriptomics and CellChat analysis were used to explore the tumor… More >

Baocheng Shi^1,2,*, Minyi Yang², Zhibin Wang¹, Qing Yuan², Jiang Bian², Yajun Deng², Kai Liu²

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.087023 - 04 September 2026

Abstract This study investigates the erosion behavior of metal mesh sand-control screens under representative operating conditions and develops an empirical model for predicting erosion rate and screen service life. Single-layer metal mesh screens were tested using a Multifunctional Spin Hydrodynamics (MSH) rotating apparatus under systematically varied liquid velocity, sand concentration, and particle impact angle. The influence of each operating parameter on erosion was quantified using a one-factor-at-a-time experimental design, while the underlying wear mechanisms were characterized by scanning electron microscopy (SEM) and optical microscopy. The results show that liquid velocity is the dominant factor controlling erosion, More >

Yichi Zhang¹, Muhammad Syawal Bin Amran^1,*, Shahlan bin Surat¹, Yuxiang Feng²

International Journal of Mental Health Promotion, Vol.28, No.8, 2026, DOI:10.32604/ijmhp.2026.080791 - 31 August 2026

Abstract Backgrounds: Multiple theoretical models emphasize the role of cognitive emotion regulation (CER) in maladaptive technology-related behaviors, including problematic social media use (PSMU). However, empirical findings regarding on the association between CER and PSMU have been inconsistent. Therefore, the present study aimed to systematically synthesize existing evidence on this relationship and to examine potential moderators using a three-level meta-analytic approach. Methods: To clarify the overall relationship and examine potential moderators, the present study conducted a three-level meta-analysis. A total of 21 primary studies, comprising 22 independent samples (N = 19,648) and 103 effect sizes, were included. Results: The… More >