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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....

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,...

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...

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...

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...

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,...

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...

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....

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....

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...

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...

Computers, Materials & Continua
EDITORIAL

Guest Editorial for the Special Issue on Advanced Computational Modeling and Simulations for Engineering Structures and Multifunctional Materials: Bridging Theory and Practice

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...

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...

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...

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,...

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...

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...

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,...

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...

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....

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,...

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...

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...

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...

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,...

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...

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....

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....

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...

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...

Computers, Materials & Continua
EDITORIAL

Guest Editorial for the Special Issue on Advanced Computational Modeling and Simulations for Engineering Structures and Multifunctional Materials: Bridging Theory and Practice

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...

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...

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...

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,...

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...

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...

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,...

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...

Molecular Dynamics Study of the Wetting Behavior of Biodiesel Combustion Particles under Exhaust-Plume Conditions

The hygroscopic growth of engine-emitted particulate matter in exhaust plumes is strongly influenced by surface wettability. In this study, molecular dynamics simulations were performed on biodiesel- and diesel-derived combustion-particle models constructed on a unified defective carbon framework to investigate wetting behavior under representative exhaust-plume temperature and humidity conditions. Under the reference condition of 333 K and a saturation ratio of 1.2, the equilibrium contact angles on smooth biodiesel, rough biodiesel, and rough diesel surfaces were…

Energy Engineering
Article

Machine Learning Based Random Forest Prediction for Solar Dryer under Thailand Climatic Conditions

In this study, selective and non-selective absorber-coated trays were employed to dry carrots and pears. Two trays with a selective absorber coating (1 mm thickness) were used, each loaded with 600 g of sliced carrots and pears. Similarly, two additional trays with a non-selective absorber coating were utilised. Furthermore, the performance of both selective and non-selective absorber-coated trays was compared with conventional open sun drying. The selective absorber-coated tray demonstrated higher thermal energy absorption and…

Energy Engineering
Article

Transient Thermodynamic, Sensitivity and Multi-Objective Design Analysis of a Multilayer PCM-Assisted Evacuated Tube Solar Collector

Transient thermodynamic analysis of a multilayer phase-change material (PCM)–assisted evacuated tube solar collector (PCM–ETSC) is presented. A compact enthalpy-based numerical model is formulated to capture coupled heat transfer among the absorber tube, a mixed-mean heat-transfer fluid (HTF) control volume, and multiple PCM layers with staggered melting temperatures under time-dependent irradiance. Performance is evaluated using solar-referenced thermal and exergy efficiencies and reported over a sunlit window defined by G (t) > 0.1 G_max. For the baseline run,…

Energy Engineering
Article

A Robust Hybrid WLS-EKF Algorithm for Power System State Estimation

This paper introduces a novel hybrid method for Power System State Estimation (PS-SE) that effectively integrates the strengths of Weighted Least Squares (WLS) and the Extended Kalman Filter (EKF) through an adaptive weighting mechanism. The proposed method addresses key challenges in modern PS-SE, including measurement uncertainties, bad data detection and handling, and convergence reliability. By incorporating an adaptive weighting mechanism, the hybrid approach dynamically adjusts estimation parameters based on the quality of the measurements, enabling…

Energy Engineering
Article

Two-Stage Optimization Strategy of EHDT-BSS Participating in Grid Frequency Regulation

Electric heavy-duty truck battery swapping stations (EHDT-BSS) are emerging as flexible resources for power systems due to their high controllability and significant power capacity. However, the participation of EHDT-BSSs in grid frequency regulation is severely constrained by the limited battery quantity and the high stochasticity of swapping demand, where forecasting errors can affect system reliability. To address these challenges, this paper proposes a two-stage optimization strategy for EHDT-BSSs participating in frequency regulation considering demand uncertainty.…

Energy Engineering
Review

Renewable Energy and Urban Sustainability Using the Siemens Green City Index: Comprehensive Review

The highly important requirement for achieving urban sustainability for any city is the availability of renewable energy, as reducing carbon emissions is considered one of the most important factors in improving the quality of life and health of people in green cities. The main objective of this research is to provide an in-depth study and analysis of the role of renewable energies, especially solar energies, in promoting sustainable development in cities around the world, in…

Energy Engineering
Article

Parametric Optimization of Battery Capacity and Electric Motor Power for Electric Vehicles under Varying Loads and Capacities

Nowadays, battery electric vehicles are increasingly used, from passenger cars to heavy-duty commercial vehicles, trains, and ships, all in an effort to reduce greenhouse gas emissions. In electric vehicles, battery capacity significantly affects their range and performance, but a larger battery also increases the vehicle’s mass and cost. This paper proposes parametric optimization of battery capacity and peak electric motor power for electric vehicles under different load types and vehicle capacities. A computational model of

Energy Engineering
Review

Next-Generation Wind Hybrid Energy Systems: Grid-Interactive, Hydrogen-Enabled, and AI-Orchestrated Pathways for Sustainable Electrification

The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements of modern power systems, is the need for holistic architectures that can cope with variability, connection issues, and sector coupling far beyond conventional electricity-only models. This review offers a critically synthesized, process-level overview of progressive wind–hydrogen hybrids, offering a collective view of advancements in electrical layouts, hydrogen-driven conversion routes, and AI-driven control…

Energy Engineering
Article

A Novel Binary Classification Neural Network Optimized by the Mosquito Mating Swarm Optimization Algorithm for Predicting Microgrid Operational Modes

Integrating renewable energy sources presents technical challenges due to their variable nature, particularly in predicting and managing microgrid operational modes. Accurate identification of grid states—interconnected or islanded—is essential for maintaining stability and optimizing performance under fluctuating environmental conditions to meet energy demand. This work proposes a bio-inspired, optimized binary classification model based on Multi-Layer Perceptron Artificial Neural Networks (MLP-ANN), with the architecture and hyperparameters tuned using the novel Mosquito Mating Swarm Optimization (MMSO) algorithm, inspired…

Energy Engineering
Article

Dual-Stage GT-RO-PCC Paradigm for Community-Integrated Energy Microgrid: Integrating Strategic Interaction and Uncertainty Mitigation

This study introduces a novel Dual-Stage GT-RO-PCC (Game Theory-Robust Optimization-Price Coupling Control) paradigm to address operational challenges in community-integrated energy microgrids (CIEMs) characterized by multi-energy complementarity and distributed generation. By synergizing strategic interaction mechanisms with uncertainty-aware energy management, the proposed framework establishes a tripartite governance structure integrating microgrid operators, user-side aggregators, and shared energy storage operators. The first stage formulates a Stackelberg game-theoretic model to optimize day-ahead electricity/heat pricing strategies through bilevel optimization, incorporating flexible…

Energy Engineering
Article

Ultra-Short-Term Wind Power Forecasting Based on Hierarchical Signal Refinement and Intelligently Optimized Deep Learning

The intrinsic volatility and stochasticity of large-scale wind power generation pose significant challenges to grid stability. To address the limitations of conventional models in capturing strong non-stationarity, this study proposes a novel Multi-Stage Adaptive Forecasting Network (MSAF-Net). The framework features a hierarchical signal refinement strategy coupled with an intelligently optimized hybrid predictor. Initially, input redundancy is minimized via Pearson Correlation Coefficient (PCC) analysis to isolate significant meteorological variables. A two-phase decomposition-reconstruction mechanism is then implemented:…

Energy Engineering
Article

Wind Power Forecasting Utilizing Bidirectional Gated Recurrent Units in Conjunction with Empirical Mode Decomposition and Bayesian Neural Networks

To address the operational challenges of power systems with high renewable penetration, this research targets the non-stationarity and stochasticity of wind power. A novel hybrid framework for probabilistic forecasting and risk assessment is proposed. Initially, Empirical Mode Decomposition (EMD) adaptively decomposes the raw power signal into multi-scale Intrinsic Mode Functions (IMFs) and a residual trend, effectively segregating temporal features and reducing complexity. These components are then fused with historical data to form a comprehensive input.…

Energy Engineering
Article

A Control Strategy Leveraging Adaptive Inertia to Enhance Transient Stability of Power Systems Integrated with Grid-Forming Wind Generation

The integration of a high proportion of renewable energy sources via power electronic devices poses significant challenges to power systems. Their grid-connection characteristics differ considerably from those of synchronous generators, leading to a reduction in system inertia. Furthermore, the complex interactions between renewable energy units and the power grid substantially impact the transient stability of the system. Based on the virtual synchronous control characteristics of grid-forming wind turbines (GWT), this paper proposes an adaptive control…

Energy Engineering
Article

Safe and Explainable Reinforcement Learning-Based Intelligent Switching Control for Standalone and Grid-Tied Z-Source Inverter under Uncertain Solar Conditions

The increasing integration of photovoltaic systems into smart grids requires accurate evaluation of power conversion efficiency and output performance. In this context, Z Source Multilevel Inverters function as voltage boosting converters and offer a certain degree of fault tolerance. However, conventional control strategies such as proportional integral controllers and hybrid optimization-based methods including POA-RFA (Pelican Optimization Algorithm-Random Forest Algorithm) are limited in their ability to maintain dynamic stability, efficiency, and operational safety under varying solar…

Energy Engineering
Article

A Double-Time-Scale Dynamic Reactive Power Optimization Method for the AC/DC Hybrid Power Grid Incorporating UPFC

With the high penetration of renewable energy and the rapid development of AC/DC (Alternating Current/Direct Current) hybrid power grid, the power grid is confronted with challenges such as frequent voltage fluctuations and insufficient dynamic reactive power reserves. Full utilization of unified power flow controller (UPFC) in dynamic voltage regulation is of great significance for mitigating voltage excursions of the power grid. This paper proposes a double-time-scale dynamic reactive power optimization method for the AC/DC hybrid…

Energy Engineering
Article

Multi-Source Fusion with Patch-Guided Multi-Task Learning for Power Prediction of Offshore Wind Farm Clusters

Large-scale offshore wind farm clusters (OWFCs) have been increasingly connected to the power grid, and requires advanced forecasting models to enhance the prediction accuracy of OWFC’s power output. This paper proposes a multi-source fusion with patch-guided multi-task learning for power prediction of offshore wind farm clusters. Unlike traditional graph-based approaches that rely on predefined topological relationships, which are limited in capturing the highly similar but rapidly changing meteorological conditions among closely spaced offshore farms, the…