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Computer Modeling in Engineering & Sciences
REVIEW

From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...

Computer Modeling in Engineering & Sciences
REVIEW

Graph-Mamba: A Survey of Selective State Space Models for Graph Learning

The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...

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...

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...

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...

Computers, Materials & Continua
ARTICLE

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....

Computers, Materials & Continua
REVIEW

A Review of Next-Generation Smart Manufacturing Enabled by Engineering Systems, Materials Modeling, and High-Performance Computing: A System-Oriented Perspective for Semiconductor Manufacturing

Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...

Computers, Materials & Continua
ARTICLE

STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design

The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...

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...

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...

Computer Modeling in Engineering & Sciences
Special Issue

Modeling and Applications of Bubble and Droplet in Engineering and Sciences

Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...

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
REVIEW

From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...

Computer Modeling in Engineering & Sciences
REVIEW

Graph-Mamba: A Survey of Selective State Space Models for Graph Learning

The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...

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...

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...

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...

Computers, Materials & Continua
ARTICLE

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....

Computers, Materials & Continua
REVIEW

A Review of Next-Generation Smart Manufacturing Enabled by Engineering Systems, Materials Modeling, and High-Performance Computing: A System-Oriented Perspective for Semiconductor Manufacturing

Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...

Computers, Materials & Continua
ARTICLE

STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design

The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...

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...

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...

Computer Modeling in Engineering & Sciences
Special Issue

Modeling and Applications of Bubble and Droplet in Engineering and Sciences

Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...

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...

Explainable Gradient Boosting for Transparent Phishing URL Detection: A Cross-Dataset, Statistically Validated SHAP Analysis of XGBoost, LightGBM, and CatBoost

Phishing remains one of the most persistent attack vectors in cybersecurity, and the gradient-boosting models that now dominate its automated detection are frequently deployed as opaque classifiers, which limits analyst trust and slows incident response. This paper presents a cross-dataset, explainability-driven evaluation of three gradient boosting algorithms–XGBoost, LightGBM, and CatBoost—for phishing URL classification, paired with a SHAP (Shapley Additive Explanations)-based framework that attributes every prediction to specific, human-readable features rather than treating the classifier as…

Journal of Cyber Security
Article

Bias and False Positive Challenges in AI-Based Intrusion Detection Systems under Extreme Class Imbalance

Artificial intelligence (AI)-based intrusion detection systems (IDS) have evolved to be fundamental in detecting cyberattacks in contemporary networks. Unfortunately, the significant class imbalance present in cybersecurity datasets may introduce unfair biases during model learning, producing unpredictable predictions and inflating false alarm alerts, which eventually hampers practical deployment. This research examines the influence of class imbalance mitigation on model performance, operational fairness, explainability, and the operational integrity of an AI-based IDS subject to extreme class imbalance…

Journal of Cyber Security
Article

Optimizing Network Security at the Control Plane through Software Defined Networking (SDN)

Software-Defined Networking (SDN) introduces centralised network control and programmability, but its centralised control plane creates significant security vulnerabilities that can be exploited by cyber attackers. This study proposes and evaluates a hybrid security framework that integrates machine learning (ML)-based anomaly detection with blockchain-based authentication to enhance the security of the SDN control plane. The study aimed to analyse vulnerabilities in SDN architectures, develop an ML-driven attack detection model, secure API communications using blockchain-based authentication, and…

Journal on Artificial Intelligence
Review

A Review of Fine-Grained Visual Categorization with Deep Learning

Fine-grained visual categorization (FGVC) presents a class of recognition problems in which the discriminative signal is spatially concentrated, visually subtle, and easily destroyed by the preprocessing and augmentation strategies that serve coarse recognition well. Where standard image classification requires a model to distinguish birds from cars, FGVC requires it to distinguish one bird species from another, a task that demands localization, feature-space shaping, and representation learning to operate in close coordination. This survey synthesizes thirty…

Journal of Intelligent Medicine and Healthcare
Article

Phase 1 Implementation of a Federated Learning Network for Population-Scale Healthcare Data Harmonization: Operational Results from 47 U.S. Institutions

Background: Exponential growth of diverse clinical data presents challenges for real-time predictive analytics in healthcare. Federated learning offers a paradigm for multi-institutional model training without centralized data sharing, but large-scale deployment across diverse healthcare settings with real-world electronic health record (EHR) integration challenges remains limited. Methods: We implemented Phase 1 of a federated learning network deploying federated histogram-based XGBoost across 47 U.S. healthcare institutions from January to June 2023 as a quality improvement initiative. The…

Journal of Intelligent Medicine and Healthcare
Article

Optimizing Capsule Endoscopy via (SHAP) Perturbations and Optimal Data Distribution for Pancreatic Disease Classification

Accurate classification of pancreatic endocrinogenesis-related abnormalities in capsule endoscopy images remains challenging because of class imbalance, high intra-class variability, and limited annotated data. This study proposes an optimal data distribution framework based on Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) perturbations to enhance automated classification performance. The workflow combines perturbation-guided data augmentation, feature-importance analysis, and deep-learning classifiers, including convolutional neural networks (CNNs), U-Net, and You Only Look Once (YOLO). The approach is

Oncology Research
Review

Programmed Cell Death in Urological Cancers: Orchestrating the Immune Microenvironment and Immunotherapy

Programmed cell death regulates the tumor immune microenvironment. A comprehensive synthesis of how multiple programmed cell death pathways collectively orchestrate the remodeling of the urological immune landscape is currently lacking. This review summarizes and discusses how diverse programmed cell death modes, including ferroptosis, pyroptosis, autophagy, PANoptosis, necroptosis and cuproptosis, regulate immune evasion or activation in a context-dependent manner. Current preclinical evidence suggests that necroptosis, pyroptosis, and cuproptosis may enhance anti-tumor immunity by facilitating the release…

Oncology Research
Review

Metabolic Reprogramming in Gastric Cancer Immunity Mechanisms and Therapeutic Implications

Gastric cancer (GC) remains a leading cause of global cancer mortality, with progression and therapy resistance heavily influenced by the dynamic tumor microenvironment (TME). Despite advances in surgical techniques, chemotherapy, targeted therapy, and immunotherapy, overall survival for advanced disease remains poor, underscoring the need for a deeper understanding of resistance mechanisms. A hallmark of the TME is metabolic reprogramming, which sustains tumor growth and actively shapes an immunosuppressive landscape. This review aims to detail the…

Oncology Research
Article

Liposomal Doxorubicin Induces PD-L1-High Tumor-Associated Macrophages and Sensitizes Triple-Negative Breast Cancer to PD-L1 Blockade

Objective: Liposomal doxorubicin (L-DOX) may alter macrophage-mediated immune regulation in triple-negative breast cancer (TNBC), but its role in programmed death-ligand 1 (PD-L1)-associated immune escape remains unclear. This study aimed to determine whether L-DOX induces a macrophage-centered PD-L1 response and affects the efficacy of PD-L1 blockade in TNBC. Methods: Public bulk and single-cell transcriptomic datasets, bone marrow-derived macrophage models, CD8⁺ T-cell co-culture assays, promoter-binding analyses, and syngeneic EO771 and 4T1 TNBC mouse models were used to examine PD-L1…

Oncology Research
Review

Bladder Cancer Biomarkers: Recent Advances in Early Detection, Treatment Prediction, and Prognosis

Bladder cancer (BC) is a prevalent malignancy characterized by a high recurrence rate and the necessity for long-term surveillance demands, creating a need for accurate yet practical tools for early detection and monitoring. While current standards including cystoscopy, urinary cytology, and imaging remain indispensable, their clinical utility is constrained by invasiveness, suboptimal sensitivity for selected lesions or low-grade lesions, inter-observer variability, and cumulative costs. Currently, biomarker research has expanded from single protein assays to multi-analyte…

Oncology Research
Article

The Impact of Combretastatin A-4 on Cancer Cells and Circulating Tumor Cells (CTCs): A Multi-Assay Approach

Objectives: Combretastatin A-4 (CA-4) is a microtubule-disrupting agent with established anti-tumor properties. This study aimed to evaluate the effects of CA-4 on key metastatic traits of cancer cells, including migration, clonogenic potential, cytoskeletal protein expression, and microtentacle (McTN) formation, using multiple cancer cell models, including the colon patient-derived circulating tumor cell line CTC-MCC-41. Methods: H1299 (non-small cell lung cancer), MDA-MB-231 (triple-negative breast cancer), HT-29 (colorectal cancer), and CTC-MCC-41 (derived from the blood of a colon cancer…

Oncology Research
Review

Circular RNAs in Plasma and Beyond: Potential Biomarkers for Breast Cancer

Breast cancer (BC) continues to be a major cause of cancer-related mortality among women, and early diagnosis remains critical for improving survival outcomes. Conventional tissue biopsy and imaging techniques are constrained by invasiveness and limited sensitivity in early-stage disease, whereas routine serum tumor markers lack sufficient specificity for reliable early detection. Circular RNAs (circRNAs) have increasingly been recognized as promising non-invasive biomarkers, owing to their remarkable stability and detectability in plasma. Here, we summarize the…

Oncology Research
Article

Gastric Cancer-Derived Exosomes Activate Mast Cells via the SCF/c-KIT Pathway to Drive Angiogenesis and Metastasis

Background: Exosomes mediate intercellular communication within the tumor microenvironment. However, their role in modulating mast cell activity in gastric cancer (GC) remains unclear. This study aimed to elucidate whether GC-derived exosomes activate mast cells via the SCF/c-KIT pathway to promote angiogenesis and metastasis, and to assess the therapeutic potential of targeting this axis. Methods: Exosomes were isolated from GC cell lines (AGS, MKN1), a normal gastric epithelial cell line (GES-1), and mouse gastric tumor tissues, followed…

Oncology Research
Article

FSCN1 Modulates Fatty Acid Metabolism and the Coordinated Activation of AKT/mTOR and p38 MAPK Pathways in Colorectal Cancer Cells

Background: Fascin actin-bundling protein 1 (FSCN1) modulates the expression of key lipogenic enzymes fatty acid synthase (FASN) and stearoyl-CoA desaturase (SCD1) in colorectal cancer (CRC), but the underlying mechanisms remain elusive. Methods: Bioinformatics analyses were performed to evaluate FSCN1 expression and its prognostic value in CRC. Intracellular lipid levels following FSCN1 knockdown were assessed by Nile Red/DAPI co-staining and triglyceride quantification, and further validated by Oil Red O staining of xenograft tumors. Expression levels of key metabolic enzymes…

Oncology Research
Article

Destabilization of hsa_circ_0015508 by YTHDF2 Enhances miR-496-Mediated FOXN3 Suppression to Drive Nasopharyngeal Carcinoma Progression

Objectives: YTH N6-Methyladenosine RNA Binding Protein F2 (YTHDF2) had been implicated in nasopharyngeal carcinoma (NPC) progression. Increasing evidence indicated that numerous circular RNAs (circRNAs) were involved in regulating tumor progression. However, how the regulation of circRNAs by YTHDF2 contributes to NPC progression remains to be uncovered. In this study, we aimed to elucidate the role and mechanism of YTHDF2-mediated circRNA regulation in NPC migration and invasion. Methods: YTHDF2 expression in NPC was assessed using GEO datasets…

Oncology Research
Article

Honokiol Suppresses Stemness and Sensitizes Triple-Negative Breast Cancer to Chemotherapy via YAP/TAZ-TEAD Inhibition

Objectives: As an aggressive subtype of breast cancer, triple-negative breast cancer (TNBC) is constrained by the limited availability of effective treatments and the absence of well-validated therapeutic targets. This study aimed to explore whether honokiol, a potent YAP/TAZ inhibitor, suppresses stem cell–like properties and enhances chemotherapeutic efficacy in TNBC by blocking YAP/TAZ–TEAD transcriptional complex. Methods: Through both in vitro and in vivo models of TNBC, the current study examined how honokiol influences cell proliferation, cancer stem cell (CSC)…

Call for papers

Special Issue

Computer Modeling in Engineering & Sciences

Advances in Modeling and Simulation...

Guest Editors: Van-Tu Nguyen; Ould el Moctar; Anh Dinh Le; Hemant J. Sagar Deadline: 30 September 2027

Special Issue

Computer Modeling in Engineering & Sciences

Recent Advances in Data-Driven and Machine...

Guest Editors: Jin-Gyun Kim; Hee-Sun Choi; Seongji Han Deadline: 30 September 2027

Special Issue

Oncology Research

Tumor Biomarkers for Diagnosis, Prognosis...

Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027

Special Issue

Computer Modeling in Engineering & Sciences

Artificial Intelligence-Driven Forecasting...

Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027

Special Issue

Computer Modeling in Engineering & Sciences

The Next Decade of SPH: Integrating...

Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027

Special Issue

Oncology Research

Genome Organization and Cancer

Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027

Special Issue

European Cytokine Network

Pharmacological Modulation of Cytokine...

Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027

Special Issue

Computer Modeling in Engineering & Sciences

Agentic AI: The New Orchestrators of...

Guest Editors: Wenbing Zhao; Pan Wang Deadline: 31 March 2027

Special Issue

Computer Modeling in Engineering & Sciences

Emerging Artificial Intelligence Technologies...

Guest Editors: Wenfeng Zheng; Choon Kit Chan; Kyungtae Kang; Chao Liu Deadline: 31 March 2027

Special Issue

Oncology Research

Targeted Therapies and Immunotherapies...

Guest Editors: Joanna Zawitkowska; Małgorzata Mitura-Lesiuk; Maciej Dubaj Deadline: 28 February 2027

Special Issue

Computer Modeling in Engineering & Sciences

The Collection of the Latest Reviews...

Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 15 February 2027

Special Issue

Computer Modeling in Engineering & Sciences

Advanced Artificial Intelligence and...

Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 15 February 2027

Special Issue

Computer Modeling in Engineering & Sciences

Machine Learning and Deep Learning-Based...

Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027

Special Issue

European Cytokine Network

Inflammation and Cytokine Biology in...

Guest Editors: Denise Mafra; Jessyca Sousa de Brito Deadline: 31 January 2027

Special Issue

Oncology Research

Extracellular Vesicles (EVs) in Cancer...

Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026

Special Issue

European Cytokine Network

Cytokines in Cancer: Tumor Microenvironment,...

Guest Editors: Hung-Yu Lin Deadline: 31 December 2026

Computer Modeling in Engineering & Sciences

Digital Engineering and Digital Twin

Revue Internationale de Géomatique

Frontiers in Heat and Mass Transfer

Journal of Polymer Materials

Canadian Journal of Urology

Journal of Psychology in Africa

ZKG International

European Cytokine Network

Chalcogenide Letters

Nuova Rivista Storica

Smart Biotechnology

Computers, Materials & Continua

Fluid Dynamics & Materials Processing

Structural Durability & Health Monitoring

Intelligent Automation & Soft Computing

Computer Systems Science and Engineering

BIOCELL

Phyton-International Journal of Experimental Botany

Energy Engineering

International Journal of Mental Health Promotion

Structural and Congenital Heart Disease

Journal of Renewable Materials

Oncology Research

Oncologie

Journal of Quantum Computing

Journal of New Media

Journal on Internet of Things

Journal of Information Hiding and Privacy Protection

Journal of Cyber Security

Journal on Artificial Intelligence

Journal on Big Data

Journal of Intelligent Medicine and Healthcare

Journal of Blockchain and Intelligent Computing

The International Conference on Computational & Experimental Engineering and Sciences

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