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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Review of Complex Logical Reasoning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...

Computer Modeling in Engineering & Sciences
ARTICLE

Computer Modelling of Thin, Soft Biological Tissues: A Decoupled Strategy for Standardizing Isotropic and Anisotropic Corneal Biomechanics

The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....

Computer Modeling in Engineering & Sciences
ARTICLE

A Lagrangian Generalized Finite Difference Method for the Bubble Flow with Large Density Difference Considering the Continuous Surface Force Model

Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...

BIOCELL
REVIEW

Targeting Skeletal Muscle Melatonin-MT₂ Signaling to Attenuate the Obesity-Cancer Axis: A Metabolic Perspective

Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...

BIOCELL
REVIEW

Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...

BIOCELL
REVIEW

Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...

Computers, Materials & Continua
ARTICLE

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...

Computers, Materials & Continua
REVIEW

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...

Computers, Materials & Continua
ARTICLE

DFT-Based Computational Investigation of Mechanical, Acoustic and Thermal Properties of Cd_1-xZn_xTe Alloys for Radiation Detector Applications

Zinc substitution in Cd1−xZnxTe (CZT) alloys emerges as a powerful strategy for engineering their structural, elastic, mechanical, acoustic and thermal...

Computers, Materials & Continua
ARTICLE

Lightweight AI-Powered Intrusion Detection via Edge Computing

A lightweight flow-based intrusion detection system is proposed for identifying Mirai-based distributed denial-of-service attacks in Internet of Things...

Computers, Materials & Continua
ARTICLE

MSA-ConvNeXt: Predicting Magnetism of Doped Two-Dimensional Nanomaterials via Multi-Scale Convolution and Attention Mechanisms

In doped two-dimensional nanomaterials, magnetism is one of the important physical properties. By introducing foreign doping atoms or molecules, the electronic...

Computers, Materials & Continua
REVIEW

Machine Learning for Robotics: Algorithms, Applications, and Emerging Trends

The integration of Deep Learning, Deep Reinforcement Learning, and massive Vision-Language-Action (VLA) foundation models has catalysed a profound paradigm...

Oncology Research
REVIEW

Cancer Drug Development in Never-Smoker Lung Cancer: Targeted and Immune-Based Therapeutic Strategies

Lung cancer in individuals who have never smoked (LCINS) represents a clinically and biologically distinct subset of non–small cell lung cancer, driven...

Oncology Research
REVIEW

Navigating the Metabolic-Genomic Paradigm: Mitochondrial Reprogramming as a Driver of Cancer Plasticity

Breast cancer (BC) management has transitioned from histological classification to molecular subtyping, yet therapeutic resistance and intratumor heterogeneity...

Oncology Research
REVIEW

Epigenetic Modulators and Immunotherapy in Malignant Melanoma

Despite the use of targeted and/or immune-based therapeutic approaches, mortality rates among melanoma patients are high, mainly due to drug-induced resistance...

European Cytokine Network
REVIEW

Emerging viral infections: role of flavivirus NS1-mediated rewiring of PRR signaling

Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...

Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Review of Complex Logical Reasoning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...

Computer Modeling in Engineering & Sciences
ARTICLE

Computer Modelling of Thin, Soft Biological Tissues: A Decoupled Strategy for Standardizing Isotropic and Anisotropic Corneal Biomechanics

The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....

Computer Modeling in Engineering & Sciences
ARTICLE

A Lagrangian Generalized Finite Difference Method for the Bubble Flow with Large Density Difference Considering the Continuous Surface Force Model

Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...

BIOCELL
REVIEW

Targeting Skeletal Muscle Melatonin-MT₂ Signaling to Attenuate the Obesity-Cancer Axis: A Metabolic Perspective

Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...

BIOCELL
REVIEW

Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...

BIOCELL
REVIEW

Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...

Computers, Materials & Continua
ARTICLE

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...

Computers, Materials & Continua
REVIEW

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...

Computers, Materials & Continua
ARTICLE

DFT-Based Computational Investigation of Mechanical, Acoustic and Thermal Properties of Cd_1-xZn_xTe Alloys for Radiation Detector Applications

Zinc substitution in Cd1−xZnxTe (CZT) alloys emerges as a powerful strategy for engineering their structural, elastic, mechanical, acoustic and thermal...

Computers, Materials & Continua
ARTICLE

Lightweight AI-Powered Intrusion Detection via Edge Computing

A lightweight flow-based intrusion detection system is proposed for identifying Mirai-based distributed denial-of-service attacks in Internet of Things...

Computers, Materials & Continua
ARTICLE

MSA-ConvNeXt: Predicting Magnetism of Doped Two-Dimensional Nanomaterials via Multi-Scale Convolution and Attention Mechanisms

In doped two-dimensional nanomaterials, magnetism is one of the important physical properties. By introducing foreign doping atoms or molecules, the electronic...

Computers, Materials & Continua
REVIEW

Machine Learning for Robotics: Algorithms, Applications, and Emerging Trends

The integration of Deep Learning, Deep Reinforcement Learning, and massive Vision-Language-Action (VLA) foundation models has catalysed a profound paradigm...

Oncology Research
REVIEW

Cancer Drug Development in Never-Smoker Lung Cancer: Targeted and Immune-Based Therapeutic Strategies

Lung cancer in individuals who have never smoked (LCINS) represents a clinically and biologically distinct subset of non–small cell lung cancer, driven...

Oncology Research
REVIEW

Navigating the Metabolic-Genomic Paradigm: Mitochondrial Reprogramming as a Driver of Cancer Plasticity

Breast cancer (BC) management has transitioned from histological classification to molecular subtyping, yet therapeutic resistance and intratumor heterogeneity...

Oncology Research
REVIEW

Epigenetic Modulators and Immunotherapy in Malignant Melanoma

Despite the use of targeted and/or immune-based therapeutic approaches, mortality rates among melanoma patients are high, mainly due to drug-induced resistance...

European Cytokine Network
REVIEW

Emerging viral infections: role of flavivirus NS1-mediated rewiring of PRR signaling

Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...

Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

Sparse Physio-Attention: A Computationally Efficient and Clinically Interpretable Framework for ICU Time-Series Analysis

Intensive care unit (ICU) time series are irregular, incomplete, and computationally demanding to model at high temporal resolution. Dense Transformer attention captures long-range dependencies but evaluates all pairwise interactions, including many stable or clinically weak measurements. This study presents Sparse Physio-Attention, a physiology-guided Transformer that retains critical-range violations, patient-relative deviations, informative missingness patterns, and task-relevant variables before sparse attention is computed. Dynamic routing subsequently removes weak attention edges, and a late-fusion adapter incorporates static electronic…

Computers, Materials & Continua
Article

Attention-Guided Cross-Modal Transformer for Multimodal SAR-Optical Image Fusion and Flood Change Detection

Multimodal data fusion and deep learning have opened new frontiers in the analysis of complex visual data acquired from heterogeneous sensing systems. Flood inundation mapping represents one of the most demanding applications in this domain, requiring robust interpretation of complementary but conflicting image modalities under severe real-world constraints. This paper presents CAG-Transformer, a novel multimodal AI architecture for bi-temporal flood change detection through intelligent fusion of Sentinel-1 SAR and Sentinel-2 multispectral imagery. Three tightly integrated…

Computers, Materials & Continua
Article

RSTD-KD: A Task-Cost-Aware Approach for UAV Communication Risk Warning via Knowledge Distillation

Unmanned aerial vehicle (UAV) communication links in low-altitude operations support mission control, status feedback, and data transmission. Abnormal communication states may affect mission continuity and risk response. However, conventional anomaly detection usually determines only whether a communication anomaly exists, making it difficult to support risk-state assessment and alert-threshold decision-making. To address this problem, this paper proposes Risk Stratification and Task-cost-aware Decision via Knowledge Distillation (RSTD-KD), a task-cost-aware UAV communication risk warning approach that integrates risk…

Computers, Materials & Continua
Article

Do LLMs Know When Evidence is Insufficient? An Evidence Sufficiency Benchmark for Answer-Abstention Calibration in Retrieval-Augmented Generation

Large language models (LLMs) are increasingly used in retrieval-augmented generation (RAG) systems, where they are expected to answer questions based on retrieved evidence. In many cases, however, the right behavior is not to answer. A model should abstain when the evidence is insufficient, irrelevant, or contradictory. Existing evaluations mainly focus on final-answer accuracy, and they often pay less attention to whether models can recognize evidence quality before responding. To study this problem, we propose the…

Computers, Materials & Continua
Review

Fusion-Oriented Deep Learning-Enhanced Visual SLAM: A Review

Visual simultaneous localization and mapping (VSLAM) is a key technology for mobile robotics, autonomous driving, and embodied intelligence, enabling self-localization, environment reconstruction, and scene understanding. Although conventional geometric methods have achieved notable success, their performance often degrades in challenging conditions, such as low-texture scenes, severe illumination changes, dynamic interference, and long-term environmental variations. Recent advances in deep learning have created new opportunities to improve VSLAM through stronger feature representations, learned priors, semantic perception, and emerging…

Computers, Materials & Continua
Review

A Systematic Review of Agentic AI for Autonomous Navigation: SLAM-Based Intelligent Agents

Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible surroundings. Simultaneous Localization and Mapping (SLAM) facilitates autonomous navigation of robots and vehicle objects to construct an unfamiliar environment map while concurrently monitoring their inside position. This systematic review investigates the nascent convergence of agentic AI, defined by goal-oriented autonomy, with adaptive decision-making and reasoning, with SLAM-based navigation systems. This paper utilized Preferred Reporting…

Computers, Materials & Continua
Article

SD-KRE: A Method for Structural Decoupling and Knowledge Reuse Evolution of Reinforcement Learning Reward Functions Assisted by Large Language Models

The design of reward functions is crucial to the success of reinforcement learning, yet the process often relies on expert experience and is difficult to debug. Although large language models (LLMs) offer new opportunities for automated reward design, existing methods still face challenges such as poor interpretability, inability to reuse knowledge, and optimization blindness. To address these issues, this paper proposes a method for structural decoupling and knowledge reuse evolution, referred to as SD-KRE. Its…

Computers, Materials & Continua
Review

Safety, Alignment, and Robustness of Large Language Models: A Review

Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision support, and human-computer interaction. Their growing deployment, however, has intensified concerns regarding safety, alignment, and robustness, especially as these models become integrated with external tools, retrieval systems, and increasingly agentic workflows. This review provides an analytical overview of the principal risks, technical advances, evaluation practices, and future directions in this area. It first clarifies the conceptual foundations…

Computers, Materials & Continua
Article

Interpretable Machine Learning for Compressive and Flexural Strength Prediction of Fly Ash Blended 3D Printed Concrete with Uncertainty Quantification

Fly ash (FA) blended 3D printed concrete (3DPC) offers improved sustainability but requires strength prediction models validated at the mix-composition level rather than within familiar formulations. This study applies leave-one-mix-out (LOMO) cross-validation to benchmark eight machine learning algorithms on 126 experimental records spanning seven FA-blended 3DPC compositions (FA 0–15 wt.%, W/B 0.30–0.35, age 1–28 days). ExtraTrees and ElasticNet achieve the highest composition-level generalisation for compressive strength (CS, R2=0.786±0.253) and flexural strength (FS, R2=0.915±0.061, RMSE…

Computers, Materials & Continua
Article

Sparse Structural Knowledge Enhanced Graph Neural Networks for Anomaly Detection in Social Networks

Social network platforms have become primary channels for information dissemination, yet they are increasingly exploited by anomalous users such as bots, fake accounts, and coordinated disinformation spreaders. These malicious actors manipulate public opinion, spread misinformation and undermine platform integrity, posing severe threats to the security of the online ecosystem. Accurate detection of such users is challenging because they often organize into sophisticated high-order connection patterns that extend beyond local neighborhoods. Existing methods address this by…

Computers, Materials & Continua
Article

Spectral-Semantic Decoupled Rectification Network for Non-Uniform Underwater Image Restoration

Underwater image restoration is severely hindered by a tightly coupled degradation process: wavelength-dependent spectral distortion combined with non-uniform, multi-scale spatial scattering. Standard Convolutional Neural Networks (CNNs) and rigid physical priors frequently fail in these dynamic environments, limited by restricted receptive fields, overlooked inter-channel spectral correlations, and severe over-enhancement in photon-starved regions. To break this bottleneck, we propose the Phased Feature Rectification Network (PFR-Net), a decoupled architecture that transforms the ill-posed restoration task into a sequential…

Computers, Materials & Continua
Article

Privacy-Preserving Collaborative Task Allocation for Multi-Skill Mobile Crowdsensing

Mobile crowdsensing enables large-scale sensing tasks through smart devices carried by users and has been widely applied in intelligent transportation and environmental monitoring. With the increasing complexity of sensing tasks, many tasks require the collaboration of multiple workers with different skills. However, both task-required skills and worker skills are privacy-sensitive, and directly exposing them to the platform may reveal task intentions and workers’ capability profiles. To address this issue, this paper proposes Dual-Fog Privacy-Preserving Multi-skill…

Computers, Materials & Continua
Article

Side-Channel-Resistant Post-Quantum Digital Signatures with Verkle Trees, Lattice-Based Vector Commitments, and Quantum True Random Number Generators

Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature Algorithm (ML-DSA) have demonstrated documented susceptibility to power-based side-channel attacks even when protected by higher-order arithmetic masking. Concurrently, hash-based and Verkle-tree digital signature schemes lack a systematic analysis of their physical-layer attack surface. This paper closes both gaps by introducing a Verkle-tree digital signature scheme incorporating multiple complementary countermeasures: (i) arithmetic masking of lattice-based Short Integer Solution (SIS) vector commitments,…

Computers, Materials & Continua
Review

A Survey on Surveillance and Intelligent Secure Applications of UAVs

Recently, unmanned aerial vehicles (UAVs), or drones, have attracted considerable research interest across diverse fields, encompassing public and private domains, industrial and academic fields, transportation areas, disaster and harsh environments, reliable delivery services, digital twin-enabled space, and smart cities. In particular, UAVs play a critical role in surveillance and security applications. In this paper, we investigate recent advances in surveillance and intelligent security applications using UAVs. This study covers a wide range of practical tasks

Computers, Materials & Continua
Article

Integrating Texture Attention and Task Guidance for Waterline Keypoint Detection

Accurate waterline detection is critical for automated ship draft monitoring but remains challenging due to weak textures, low contrast, and dynamic maritime interferences. This paper presents TGNet, a task-guided framework that jointly optimizes character recognition and waterline keypoint localization. TGNet introduces a triple attention network (TAnet) with channel, spatial, and texture attention modules to enhance discriminative feature extraction. Crucially, a task-to-task guidance mechanism leverages detected draft characters to spatially constrain and crop feature maps, focusing…

Computers, Materials & Continua
Article

An Enhanced Osprey Optimization-Based Interpretable Deep Learning Framework for Predicting Coal Spontaneous Combustion Temperatures

Accurate prediction of coal spontaneous combustion (CSC) temperatures is crucial for safe coal mine production. To further improve the accuracy of CSC temperature prediction and the interpretability of the model, this study proposes an interpretable Chebyshev chaotic mapping-Lévy flight-Enhanced pinhole imaging inverse learning-Adaptive weighted Osprey Optimization Algorithm optimized Bidirectional Long Short-Term Memory (CLEA-OOA-BiLSTM) framework for predicting CSC temperatures. First, we optimized the Osprey Optimization Algorithm (OOA) by incorporating the Chebyshev chaotic map, Lévy flights, enhanced…