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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...

A Quantum-Assisted Hybrid Learning Framework for Environmental CO₂ Emission Analysis

Accurate prediction of carbon emissions is essential for developing sustainable environmental policies and mitigating global warming. Road transportation represents one of the major sources of global CO₂ emissions due to its dependence on fossil fuels. This study presents a comparative framework that evaluates classical machine learning models alongside a hybrid quantum–classical learning architecture for vehicle-based CO₂ emission prediction. A large-scale vehicle emissions dataset containing 7385 samples collected over approximately seven years was obtained from the official…

Journal of Cyber Security
Article

Mobile Touch Dynamics–Based User Classification Using Machine Learning and Fusion Techniques

Conventional multi-factor and one-time authentication approaches, such as passwords and one-time passwords (OTPs), have become increasingly vulnerable to advanced attack methods, motivating the need for continuous authentication (CA) systems that can verify user identity throughout an active session rather than only at login. For such a system to be effective, it must analyze user behavior reliably and in real time. This paper presents a novel approach to implementing CA on mobile devices using tap and…

Journal of Cyber Security
Article

Shift-Left Security for AI-Generated Code: Detecting and Preventing Vulnerabilities at Build-Time

The widespread adoption of Artificial Intelligence (AI) coding assistants across enterprise software development teams has accelerated delivery velocity while simultaneously introducing a persistent and empirically documented security quality gap in the code these tools produce. Vulnerability classes including insecure output handling, prompt injection constructs, sensitive information disclosure patterns, and cryptographic misuse appear at elevated rates in AI-generated output regardless of model advancement, while organizational governance frameworks have failed to keep pace with the speed of…

Journal of Cyber Security
Article

Ensemble-Guided Pseudorandom Number Generation with Residue Number System Transformation

A hybrid approach to pseudorandom number generation that couples ensemble learning with the Residue Number System (RNS) is presented in this paper. Unlike conventional deterministic generators that depend solely on direct algorithmic transformation, the proposed method first maps a seed-driven integer sequence into its RNS representation under the coprime moduli set {3, 5, 7, 11}, whose dynamic range is M = 1155, thereby introducing modular non-linearity through a static, stateless feature transformation. A soft-voting ensemble…

Journal of Cyber Security
Article

Large Language Model-Assisted Threat-Driven Testing System for Enhanced Cybersecurity Readiness

The rapid evolution of adversarial cyber threats demands proactive, scalable security testing methodologies capable of producing realistic, organization-specific attack scenarios. Conventional approaches, including manual red-teaming, scripted Breach and Attack Simulation (BAS) platforms, and tabletop exercises, are constrained by high expert dependency, limited scenario variability, and an inability to dynamically adapt to an organization’s unique threat profile. This paper proposes and evaluates a Large Language Model (LLM)-Assisted Threat-Driven Testing System that integrates the MITRE Adversarial Tactics,…

Journal of Cyber Security
Article

A Framework for Simulated Zero-Day Detection Using Synthetic Attack Generation and Out-of-Distribution Evaluation

Zero-day attacks pose a significant threat to computer systems and networks as they exploit weaknesses that have not been recognized by security professionals or software creators and for which there are no existing protective measures. This study introduced an innovative method for identifying Zero-day attacks through a Recurrent neural network model. To effectively mitigate these risks, not only is continuous monitoring essential, but also the implementation of machine learning. The model was trained on network…

Journal of Cyber Security
Review

Organizational Determinants of Cybersecurity Readiness: Evidence from a Quantitative Analysis

Background: Novel cyber threats to organizations have greatly escalated due to the high digitalization rates of organizations, and cybersecurity readiness is a critical capability of organizations and not a technical issue. Although there is increased awareness, most organizations are ill-equipped due to weaknesses in human behavior, governance, leadership commitment, technology infrastructure, and incident response mechanisms. This paper discusses organizational factors that play a major role in cybersecurity readiness. Methods: Primary data from 230 participants were…

Digital Engineering and Digital Twin
Article

HealthyBrain: A Scalable Microservices-Based Smart Healthcare System for Remote Patient Monitoring

HealthyBrain is a scalable, interoperable, and intelligent Remote Patient Monitoring (RPM) platform built on Internet of Things (IoT) technologies and a modular microservices architecture. The system integrates wearable IoT devices, MQTT (Message Queuing Telemetry Transport)-based lightweight messaging, and high-throughput real-time data streaming via Apache Kafka. Edge-side preprocessing enables low-latency analytics, while machine learning-based anomaly detection models facilitate early identification of critical health events. To ensure clinical interoperability, the platform adheres to the HL7 FHIR (Fast…

Computers, Materials & Continua
Article

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…