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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

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
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...

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

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,...

Computers, Materials & Continua
REVIEW

Graph and Transformer-Based Deep Learning Paradigms for DDoS Detection: A Systematic and Critical Survey

With the rapid expansion of networked systems, Distributed Denial-of-Service (DDoS) attacks have become a major threat to Internet security and service...

Computer Modeling in Engineering & Sciences
ARTICLE

DA-T3D: Distribution-Aware Cross-Modal Distillation Framework for Temporal 3D Object Detection

Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...

Computer Modeling in Engineering & Sciences
REVIEW

A Review of Genetic Algorithms: Principles, Procedures, and Applications in Optimization

This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...

Computer Modeling in Engineering & Sciences
REVIEW

A Review on Emerging Unified Information–Physics Frameworks for Structural Design: Toward Topology Optimization Informatics

Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...

Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

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

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
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...

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

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,...

Computers, Materials & Continua
REVIEW

Graph and Transformer-Based Deep Learning Paradigms for DDoS Detection: A Systematic and Critical Survey

With the rapid expansion of networked systems, Distributed Denial-of-Service (DDoS) attacks have become a major threat to Internet security and service...

Computer Modeling in Engineering & Sciences
ARTICLE

DA-T3D: Distribution-Aware Cross-Modal Distillation Framework for Temporal 3D Object Detection

Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...

Computer Modeling in Engineering & Sciences
REVIEW

A Review of Genetic Algorithms: Principles, Procedures, and Applications in Optimization

This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...

Computer Modeling in Engineering & Sciences
REVIEW

A Review on Emerging Unified Information–Physics Frameworks for Structural Design: Toward Topology Optimization Informatics

Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...

Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

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...

Experimental Frame–System Under Test (EFSUT): A Principled Foundation for Model Choice and Lifecycle Management in Digital Twins

As Digital Twin (DT) applications expand into complex, dynamic environments, a formal methodology is lacking to ensure that the embedded digital models remain adequate for specific stakeholder goals over time. This article introduces the Experimental Frame–System Under Test (EFSUT) methodology, providing a principled foundation for linking high-level stakeholder questions to the specific models capable of answering them. EFSUT organizes the digital engineering process around three core constructs: stakeholder questions, experimental frames that formalize observational requirements,…

Chalcogenide Letters
article

Mixed Salt-Assisted Growth of Large-Size Ultrathin SnS₂ Nanosheets and Their Anisotropy Study

The morphological regularity, thickness uniformity, and size controllability of two-dimensional materials play a crucial role in regulating their physicochemical properties. However, achieving a synergistic balance among these three factors remains a key challenge in the field. In this study, through a systematic investigation of 36 salt-assisted growth systems, we discovered that CsCl promotes the lateral growth of SnS₂, while KI optimizes the crystal morphology. Using a CsCl/KI mixed salt system, we successfully grew triangular, ultrathin, large-area…

Chalcogenide Letters
article

Zn Vacancy-Regulated Zn_0.4Cd_0.6S for Enhanced Charge Separation and Boosted Photocatalytic H₂O₂ Generation

Photocatalytic H₂O₂ synthesis from O₂ is a green and environmentally friendly route. However, due to the limitations of quick recombination of photogenerated electrons and limited O₂ activation ability, photocatalytic reactions often exhibit low efficiency. In this study, Zn vacancy-engineered Zn_0.4Cd_0.6S (Zn_V-ZCS) photocatalysts were successfully constructed via a hydrothermal strategy using L-cysteine as a coordination agent. The optimized Zn_V-ZCS-10 catalyst achieves an impressive H₂O₂ production rate of 44.39 mmol/g within 1 h under 425 nm irradiation, approximately 2.3 times higher…

Chalcogenide Letters
article

Design and Optimization of a Novel Double-Heterojunction Lead-Free Cs₂BiAgI₆ Perovskite Solar Cell with PCBM/C₆₀ Bilayer ETL and CdTe HTL: Numerical Investigation

In this study, a lead-free double perovskite solar cell structure based on Cs₂BiAgI₆ was simulated and optimized to enhance photovoltaic performance. The device architecture follows the configuration: ITO/PCBM/C₆₀/Cs₂BiAgI₆/CdTe/Au. The thicknesses of the electron transport layer (ETL), absorber layer, and hole transport layer (HTL) are systematically optimized to evaluate their impact on key performance parameters. The results indicate that optimal performance is achieved with 600 nm thicknesses for all ETLs and HTL, and 2 μm for the Cs₂BiAgl₆…

Chalcogenide Letters
article

Annealing-Induced Structural and Optical Modifications in SnS Thin Films and Their Impact on CO₂ Gas Sensing Performance

Films of (SnS) with a thickness of 400 nm were deposited by the thermal evaporation technique to investigate the influence of annealing temperature on their Physics and CO₂ gas-sensing characteristics. The deposited films were annealed at 200, 300, and 400°C. Structural characterization was performed using XRD, and the obtained results revealed that all samples possessed an orthorhombic crystal structure with a preferred orientation (301). The annealing treatment significantly improved the crystallinity of the films and reduced…

Chalcogenide Letters
article

Photoelectric Properties of Amorphous Selenium Thin Films Deposited by Thermal Evaporation

Amorphous selenium (a-Se) thin films were deposited by vacuum thermal evaporation and investigated in planar photoconductive structures to evaluate their optical and photoelectrical properties in the low-field regime. SEM analysis showed continuous film coverage with a thickness of about 250 nm. Raman spectroscopy and X-ray diffraction confirmed the amorphous structure of the as-deposited films and the formation of trigonal crystalline selenium after annealing. Optical analysis based on transmission and reflectance spectra yielded an optical band…

Chalcogenide Letters
article

First-Principles Insights into the Structural and Physical Properties of AgSbS₂

This study focuses on monoclinic system AgSbS₂, employing first-principles methods to calculate the structural, mechanical, optical, and thermodynamic properties. Specifically, geometry optimization yields a stable atomic structure with optimized lattice constants (a = 12.82 Å, b = 4.41 Å, and c = 13.19 Å). Furthermore, electronic structure analysis identifies AgSbS₂ as a direct bandgap semiconductor with a bandgap of 1.456 eV, where the valence and conduction bands primarily originate from Ag-4d, S-3s, and Sb-5p states. Regarding the elastic

Journal on Internet of Things
Review

Bridging the Gap: IoT and Robotics for Seamless Automation in Aerospace

This paper explores the rapidly evolving fields of Robotics and the Internet of Things (IoT), highlighting their key components, technological advancements, levels of autonomy, control systems, and their integration. Robotics contributes to modern industries by enhancing efficiency, precision, and automation. A comprehensive examination is conducted to highlight the convergence of IoT and robotics, particularly their applications in aerospace and other innovative domains, to develop a fundamental understanding of how these systems perform real-time input correction…

Journal on Internet of Things
Review

From Trust to Efficiency: Challenges, Optimizations, and the Hyper-Learning Framework for IoT Ecosystems

The need for intelligent learning frameworks that can function under stringent limitations relating to privacy, energy, scalability, and trust has increased due to the Internet of Things’ (IoT) and the Internet of Artificial Things’ (IoAT) explosive expansion. Federated Learning (FL), which allows collaborative model training without sharing raw data, has become a potential approach. Non-IID data delivery, inconsistent client engagement, vulnerability to poisoning assaults, and low resource knowledge are among of the significant obstacles that…

Journal of Cyber Security
Article

The Impact of Cybersecurity Awareness on Phishing Attack Vulnerability

Phishing has become the most common cybersecurity threat and increasingly exploits human factors rather than technical vulnerabilities. This study examined the relationships between cybersecurity awareness, training frequency, user cyber-hygiene behaviour, organisational culture, risk perception, and self-reported phishing vulnerability and the theoretical basis of this research is the Technology Threat Avoidance Theory (TTAT). A quantitative correlational design was used for data collection and analysis with Pearson correlation in structured questionnaires. The results indicated that the five…