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Computer Modeling in Engineering & Sciences
ARTICLE

TransCP-Net: Transformer-Based Spatiotemporal Pose Representation for Early Screening of Infant Cerebral Palsy

Cerebral palsy is a prevalent neurodevelopmental syndrome that disrupts motor development in children, making early detection vital for effective intervention....

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Computer Modeling in Engineering & Sciences
ARTICLE

LANET: A Deep Lightweight Attention Network for Skin Cancer Segmentation

Current automated lesion segmentation methods have limited success, particularly for segmenting small, irregular, or heterogeneous lesions. Moreover,...

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Energy Engineering
ARTICLE

Dynamic Energy Management in a Hybrid Microgrid Integrating PV, Wind, Fuel Cell and EV Battery Using Fuzzy Logic Control

This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic (PV) generation, aggregated...

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Energy Engineering
ARTICLE

Towards Resilient Cities: Robust Selection of Rooftop Renewable Energy Technologies in Mediterranean Multifamily Buildings

This study investigates the problem of prioritizing rooftop renewable energy (RE) system configurations for a multi-family residential building in Mediterranean...

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Energy Engineering
ARTICLE

A Fast Calculation Method for Dynamic Carbon Emission Factors Based on ILU Decomposition and BiCGSTABs

This paper addresses the challenge of efficiently calculating dynamic carbon emission factors (CEFs) in large-scale power systems. Traditional methods...

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Oncology Research
REVIEW

EZH2 in Acral Lentiginous Melanoma: Molecular, Epigenetic, and Therapeutic Perspectives

Acral lentiginous melanoma (ALM) is characterized by a low mutational burden, frequent chromosomal rearrangements, and profound epigenetic dysregulation,...

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Oncology Research
REVIEW

CHK1 as a Metabolic and Immunological Regulator: Implications for Cancer Therapy

Checkpoint kinase 1 (CHK1), a key regulator of cell cycle checkpoints, plays a central role in the DNA damage response network, serving as a critical...

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Oncology Research
REVIEW

Neurotransmitter-Mediated Signaling in Glioblastoma and Glial Tumors: Biology and Therapeutic Opportunities

Glioblastoma (GB) is the most common primary malignant brain tumor of adulthood, and despite optimal safe resection and chemoradiation, it is still lethal....

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Oncology Research
ARTICLE

Repurposing Artesunate to Combat Progression and Metastasis via Targeting Circulating Tumor Cells

Objectives: Circulating tumor cells (CTCs) drive metastasis and exhibit resistance to conventional therapies, making them crucial therapeutic targets....

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Oncology Research
REVIEW

Exploring Novel E3 Ligases and Neosubstrates for Molecular Glue Degraders and Therapeutic Applications in Cancer

Molecular glue degraders (MGDs) are an emerging class of small molecules that promote selective protein degradation by inducing neomorphic interactions...

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BIOCELL
REVIEW

Obesity, Metabolic Dysfunction-Associated Steatotic Liver Disease and Hepatocellular Carcinoma: How Molecular Changes Impact Cellular Functions

Obesity is a complex chronic condition characterized by an excess of body fat that manifests in various clinical pathophenotypes, each affecting liver...

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Computers, Materials & Continua
REVIEW

A Challenge-Driven Survey on UAV-Based Target Tracking

Unmanned Aerial Vehicle (UAV) target tracking is one of the key technologies in aerial intelligent perception systems, playing a vital role in applications...

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Computers, Materials & Continua
ARTICLE

A Graph-Based Spatio-Temporal Attention Network for Stress–Strain Behavior Prediction of Copper-Based Composites

With the rapid development of artificial intelligence and data-driven modeling, deep learning has become an effective tool for analyzing scientific discovery...

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Computers, Materials & Continua
ARTICLE

HERO (Hessian-Engineered Relaxation Optimizer): Suppressing “Hessian Pollution” for Accelerated First-Principles Structural Relaxation

Structural optimization is a fundamental step in density functional theory (DFT) calculations, typically driven by the Broyden–Fletcher–Goldfarb–Shanno...

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Computers, Materials & Continua
ARTICLE

A Large-Scale Dataset for Real-Time Vehicle Detection in Vietnamese Urban Traffic Scenes

Reliable vehicle detection in urban traffic environments remains challenging, particularly for fixed-view CCTV systems deployed in Southeast Asian cities,...

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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...

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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...

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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...

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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...

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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...

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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...

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Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

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Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

TransCP-Net: Transformer-Based Spatiotemporal Pose Representation for Early Screening of Infant Cerebral Palsy

Cerebral palsy is a prevalent neurodevelopmental syndrome that disrupts motor development in children, making early detection vital for effective intervention....

article image
Computer Modeling in Engineering & Sciences
ARTICLE

LANET: A Deep Lightweight Attention Network for Skin Cancer Segmentation

Current automated lesion segmentation methods have limited success, particularly for segmenting small, irregular, or heterogeneous lesions. Moreover,...

article image
Energy Engineering
ARTICLE

Dynamic Energy Management in a Hybrid Microgrid Integrating PV, Wind, Fuel Cell and EV Battery Using Fuzzy Logic Control

This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic (PV) generation, aggregated...

article image
Energy Engineering
ARTICLE

Towards Resilient Cities: Robust Selection of Rooftop Renewable Energy Technologies in Mediterranean Multifamily Buildings

This study investigates the problem of prioritizing rooftop renewable energy (RE) system configurations for a multi-family residential building in Mediterranean...

article image
Energy Engineering
ARTICLE

A Fast Calculation Method for Dynamic Carbon Emission Factors Based on ILU Decomposition and BiCGSTABs

This paper addresses the challenge of efficiently calculating dynamic carbon emission factors (CEFs) in large-scale power systems. Traditional methods...

article image
Oncology Research
REVIEW

EZH2 in Acral Lentiginous Melanoma: Molecular, Epigenetic, and Therapeutic Perspectives

Acral lentiginous melanoma (ALM) is characterized by a low mutational burden, frequent chromosomal rearrangements, and profound epigenetic dysregulation,...

article image
Oncology Research
REVIEW

CHK1 as a Metabolic and Immunological Regulator: Implications for Cancer Therapy

Checkpoint kinase 1 (CHK1), a key regulator of cell cycle checkpoints, plays a central role in the DNA damage response network, serving as a critical...

article image
Oncology Research
REVIEW

Neurotransmitter-Mediated Signaling in Glioblastoma and Glial Tumors: Biology and Therapeutic Opportunities

Glioblastoma (GB) is the most common primary malignant brain tumor of adulthood, and despite optimal safe resection and chemoradiation, it is still lethal....

article image
Oncology Research
ARTICLE

Repurposing Artesunate to Combat Progression and Metastasis via Targeting Circulating Tumor Cells

Objectives: Circulating tumor cells (CTCs) drive metastasis and exhibit resistance to conventional therapies, making them crucial therapeutic targets....

article image
Oncology Research
REVIEW

Exploring Novel E3 Ligases and Neosubstrates for Molecular Glue Degraders and Therapeutic Applications in Cancer

Molecular glue degraders (MGDs) are an emerging class of small molecules that promote selective protein degradation by inducing neomorphic interactions...

article image
BIOCELL
REVIEW

Obesity, Metabolic Dysfunction-Associated Steatotic Liver Disease and Hepatocellular Carcinoma: How Molecular Changes Impact Cellular Functions

Obesity is a complex chronic condition characterized by an excess of body fat that manifests in various clinical pathophenotypes, each affecting liver...

article image
Computers, Materials & Continua
REVIEW

A Challenge-Driven Survey on UAV-Based Target Tracking

Unmanned Aerial Vehicle (UAV) target tracking is one of the key technologies in aerial intelligent perception systems, playing a vital role in applications...

article image
Computers, Materials & Continua
ARTICLE

A Graph-Based Spatio-Temporal Attention Network for Stress–Strain Behavior Prediction of Copper-Based Composites

With the rapid development of artificial intelligence and data-driven modeling, deep learning has become an effective tool for analyzing scientific discovery...

article image
Computers, Materials & Continua
ARTICLE

HERO (Hessian-Engineered Relaxation Optimizer): Suppressing “Hessian Pollution” for Accelerated First-Principles Structural Relaxation

Structural optimization is a fundamental step in density functional theory (DFT) calculations, typically driven by the Broyden–Fletcher–Goldfarb–Shanno...

article image
Computers, Materials & Continua
ARTICLE

A Large-Scale Dataset for Real-Time Vehicle Detection in Vietnamese Urban Traffic Scenes

Reliable vehicle detection in urban traffic environments remains challenging, particularly for fixed-view CCTV systems deployed in Southeast Asian cities,...

article image
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...

article image
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...

article image
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...

article image
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...

article image
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...

article image
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...

article image
Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

Latest Articles
Computers, Materials & Continua
Article

A Spatial-Temporal Traffic Prediction Algorithm Based on Non-Negative Tensor Factorization

The advancement of communication technology has made traffic engineering a critical issue in network systems. The traffic matrix is essential data that supports traffic engineering. The functionality of routing planning, network monitoring, and other modules within intelligent network management systems relies heavily on the network traffic matrix. However, real-time measurement of the network traffic matrix is costly and often suffers from missing or anomalous values. Consequently, long-term network traffic prediction presents significant challenges. Existing methods…

Computers, Materials & Continua
Article

A Space-Air-Ground Integrated Network Traffic Estimation Algorithm Based on Time-Varying Higher-Order Moments

With the proliferation of network users, traffic engineering has become increasingly important for the management and optimization of networks. As a crucial component of traffic engineering, the traffic matrix can assist network managers in making informed decisions to optimize resource utilization. However, in the current complex and heterogeneous space-ground integrated network, the cost of direct real-time measurement of traffic matrix is high and the delay is high. To address this challenge, we propose a network…

Computers, Materials & Continua
Article

Graph-Based Constrained PPO for Low-Latency and Energy-Aware AI Agent Migration in Internet of Vehicular Agents

The Internet of Vehicular Agents (IoVA) interconnects distributed AI agents across vehicular networks to deliver real-time intelligent services for vehicular users. Due to the limited computing capacity of vehicles, AI agents are deployed on nearby RoadSide Units (RSUs) to perform computation-intensive inference. As vehicles traverse RSU coverage boundaries, AI agents must migrate to target RSUs to maintain service continuity. However, the communication and computing resources at each RSU are shared among multiple co-served vehicles, creating…

Computers, Materials & Continua
Article

An Orchestration Model for TARA across Vehicle Manufacturers and Suppliers in Software-Defined Vehicles

Software-Defined Vehicles (SDVs) increase cybersecurity complexity through the combination of external connectivity, software-intensive functions, and distributed development across vehicle manufacturers and suppliers. Although United Nations (UN) Regulation No. 155 and ISO/SAE 21434 require Threat Analysis and Risk Assessment (TARA) throughout the vehicle lifecycle, conventional TARA methodologies remain largely system-focused and often provide limited procedural guidance for coordinating supplier-derived TARA results at the vehicle level. This paper proposes an orchestration model for TARA across vehicle manufacturers…

Computers, Materials & Continua
Article

TATA: A Trust-Aware Task-Oriented Agent Framework for Industrial Intelligence Scenarios

The rapid advancement of edge intelligence in Industrial Internet of Things (IIoT) is transforming human–computer interaction from conventional “command execution” to complex “human–AI deep collaboration”. Within such safety-critical industrial environments, establishing robust mutual understanding and trust mechanisms becomes a significant prerequisite for decision reliability and efficiency. However, existing industrial interaction systems predominantly focus on task progression and explicit command responses, lacking fine-grained, dynamic tracking of operators’ trust states, cognitive evolution, and behavioral dynamics. Moreover, current…

Computers, Materials & Continua
Article

Decentralized Sports Streaming Authorization: A Three-Layer Cryptographic Architecture for Live and On-Demand Access

The modern sports streaming market is severely fragmented, forcing fans into costly, siloed platforms. While blockchain-based decentralized architectures offer a unified, interoperable sport streaming ecosystem, securely delivering commercial video over untrusted infrastructure remains a profound cryptographic challenge. Existing schemes fail to simultaneously support highly granular on-demand highlights and large scale dynamic live subscriptions. To resolve this, we propose a novel decentralized authorization architecture that systematically integrates existing cryptographic primitives into a decoupled three-layer protocol. By

Computers, Materials & Continua
Article

EGAIN: Enhanced Generative Adversarial Networks for Imputing Missing Values

Missing data remain a persistent challenge in statistical analysis and machine learning because many predictive methods require complete observations. Generative Adversarial Imputation Networks (GAIN) offer a flexible deep-learning approach for missing value imputation, but their practical use is limited by convergence instability, sensitivity to hyperparameter selection, and dependence on outdated software implementations. To address these limitations, we propose Enhanced Generative Adversarial Imputation Networks (EGAIN), a modernized extension of GAIN implemented in TensorFlow 2.x. EGAIN incorporates…

Computers, Materials & Continua
Article

Hybrid-RL: An Incremental Deep Clustering Framework with Reinforcement Learning for Adaptive Customer Segmentation

Keeping customers engaged remains a major challenge in appointment-based services, where user behavior continuously shifts due to seasonal, market, and social factors. These dynamic changes often cause concept drift, rendering traditional deep clustering models unreliable because they assume stable data distributions. Most existing approaches handle representation learning, parameter optimization, and model updating as separate components, limiting their adaptability in real-world streaming environments. This study proposes Hybrid-RL, a novel adaptive clustering framework that unifies incremental deep…

Computers, Materials & Continua
Article

Explainable Hierarchical Mamba for Edge-Based IoT Traffic Classification

With the proliferation of Internet of Things (IoT) devices, accurate device fingerprinting of highly encrypted traffic has emerged as a critical challenge for ensuring network security. Existing deep learning models are either difficult to deploy in real-time due to excessive computational complexity (e.g., Transformers) or are limited in performance because their structure does not match the inherent hierarchy of traffic data (e.g., flattened state space models). Furthermore, a general lack of transparency in their decision-making…

Computers, Materials & Continua
Article

Enhancing Power Enterprise Inspection and Supervision: A LoRA-Based Lightweight LLM Framework Integrating Retrieval-Augmented Generation and Prompt Engineering

Power enterprise inspection and supervision require greater intelligence, efficiency, and standardization; however, existing approaches are limited by inefficient knowledge retrieval, inaccurate issue identification, and insufficient support for standardized reporting and rectification tracking. This study proposes a lightweight, domain-adaptive large language model (LLM) framework based on Low-Rank Adaptation (LoRA), integrating Retrieval-Augmented Generation (RAG) and structured prompt engineering to enable evidence-grounded inspection tasks. The framework achieves parameter-efficient adaptation through low-rank decomposition and constructs a domain-specific multimodal knowledge…

Computers, Materials & Continua
Article

Confidence-Regulated Heart Murmur Classification via Joint Representation Learning and Decision Optimization

Accurate identification of heart murmurs from auscultation recordings is essential for early cardiovascular screening and diagnosis. While deep learning offers strong potential for automated heart murmur classification, existing models often exhibit overconfident, incorrect predictions and limited generalization due to dataset bias and class imbalance. To address these challenges, this study proposes a two-stage confidence-regulated learning framework that jointly optimizes feature representation and decision reliability. Rather than focusing solely on improving classification performance, this work emphasizes…

Computers, Materials & Continua
Article

Spatio-Temporal Graph Neural Networks for Cyberattack Detection in Battery Energy Storage Systems

The Enhanced Graph Neural Network Autoencoder (Enhanced GNN-AE), recently proposed for unsupervised cybersecurity monitoring in battery energy storage systems (BESSs), builds a multiscale k-nearest neighbour graph over measurement samples and learns compact latent representations via manifold-regularised training. Its spatial encoder, however, employs the original Graph Attention Network (GAT), which has been formally shown to compute a rank-1 attention function equivalent to graph convolutional networks on many graph structures. This work investigates whether replacing the GAT…

Computers, Materials & Continua
Article

Cross-Domain Robust Dynamic Trust Evaluation for Industrial Internet of Things Edge Nodes

To address trust-score drift and unsafe online adaptation under cross-domain attack-contaminated streams in Industrial Internet of Things (IIoT) edge environments, this paper proposes a risk-aware lightweight test-time adaptation (TTA) framework, named RaL-TTA, for dynamic trust evaluation of edge nodes. RaL-TTA constructs a low-dimensional robust feature space and a source-domain normal-entropy reference baseline, and performs selective online maintenance in the target domain through Kolmogorov–Smirnov (KS) drift detection, SafeBrake risk gating, Adaptive Batch Normalization (AdaBN) anchor protection,…

Computers, Materials & Continua
Article

VPCW-YOLO: An Improved YOLOv8 Algorithm for Vulnerable Pedestrian Detection under Complex Weather Conditions

Despite significant advances in object detection technology, vulnerable pedestrian detection in intelligent transportation systems remains highly challenging under complex weather conditions. Environmental factors such as fog, rain, and snow often lead to occlusion, motion blur, and low-contrast images, making small-scale or weak-featured vulnerable pedestrians difficult to accurately identify. Therefore, improving the detection accuracy and robustness of vulnerable pedestrians in complex weather scenarios has become an urgent research problem. To address this issue, this paper proposes…

Computers, Materials & Continua
Article

Dual-Strategy Improvement of YOLOv11n for Multi-Scale Object Detection in Remote Sensing Images

Satellite remote sensing images pose significant challenges for object detection due to their high resolution, complex scenes, and large variations in target scales. To address the insufficient detection accuracy of the YOLOv11n model in remote sensing imagery, this paper proposes two improvement strategies. Method 1: (a) a Large Separable Kernel Attention (LSKA) mechanism is introduced into the backbone network to enhance feature extraction for small objects; (b) a Gold-YOLO structure is incorporated into the neck…

Computers, Materials & Continua
Article

A Hybrid Learning Framework for Underwater Image Enhancement

Underwater imaging facilitates the exploration of the underwater environment. However, irregular optical absorption and light scattering in water, ranging from clear to highly turbid conditions, often result in low visibility, color distortion, and blurriness in underwater images (UWIs). Conventional UWI enhancement methods are limited by inefficient physical modeling, while deep learning-based approaches are constrained by the scarcity of paired training datasets. In this work, we propose a hybrid learning framework for UWI enhancement that leverages…

Call for papers
Special Issue
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Computer Modeling in Engineering & Sciences

Artificial Intelligence-Driven Forecasting...

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

Special Issue
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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
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Oncology Research

Genome Organization and Cancer

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

Special Issue
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European Cytokine Network

Pharmacological Modulation of Cytokine...

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

Special Issue
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Computer Modeling in Engineering & Sciences

Agentic AI: The New Orchestrators of...

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

Special Issue
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Oncology Research

Targeted Therapies and Immunotherapies...

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

Special Issue
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Computer Modeling in Engineering & Sciences

Machine Learning and Deep Learning-Based...

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

Special Issue
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European Cytokine Network

Inflammation and Cytokine Biology in...

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

Special Issue
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Oncology Research

Extracellular Vesicles (EVs) in Cancer...

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

Special Issue
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European Cytokine Network

Cytokines in Cancer: Tumor Microenvironment,...

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

Special Issue
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Computers, Materials & Continua

Deep Learning for Object Detection and...

Guest Editors: Víctor García Deadline: 31 December 2026

Special Issue
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Journal of Polymer Materials

Polymer-based Functional Composite Materials:...

Guest Editors: Dawei Jiang; Miaojun Xu; Bo Jiang; Zijian Wu Deadline: 31 December 2026

Special Issue
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International Journal of Mental Health...

Promoting Mental Health and Cognitive...

Guest Editors: Jian-Hong Ye; Weiguaju Nong Deadline: 31 December 2026

Special Issue
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Journal of Polymer Materials

From Bioelectronics to Robotics: Functional...

Guest Editors: Changhong LINGHU; Hoon Eui Jeong; Ying Jiang; Jiangtao Su; Yangchengyi... Deadline: 30 December 2026

Special Issue
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Oncology Research

Therapeutic Targeting of Tumor Metabolism

Guest Editors: Fátima Martel Deadline: 30 November 2026

Special Issue
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BIOCELL

Mitochondrial Dysfunction and Neuroinflammation...

Guest Editors: Maria Gemma Nasoni Deadline: 30 November 2026

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