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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...

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...

Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

Computers, Materials & Continua
REVIEW

A Systematic Literature Review on the Impact of Generative AI in Digital Marketing: Advancements, Opportunities, and Challenges

Generative Artificial Intelligence (AI) is reshaping digital marketing by creating automated content, personalizing campaigns, and offering new ways to...

Journal of Polymer Materials
REVIEW

Multifunctional Carbonaceous Nanoreinforced Polymeric Nanofibers—Bridging Fundamental Aspects to Technological Resolves

Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers, owing to growing...

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...

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
Special Issue

Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications

The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...

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...

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...

Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

Computers, Materials & Continua
REVIEW

A Systematic Literature Review on the Impact of Generative AI in Digital Marketing: Advancements, Opportunities, and Challenges

Generative Artificial Intelligence (AI) is reshaping digital marketing by creating automated content, personalizing campaigns, and offering new ways to...

Journal of Polymer Materials
REVIEW

Multifunctional Carbonaceous Nanoreinforced Polymeric Nanofibers—Bridging Fundamental Aspects to Technological Resolves

Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers, owing to growing...

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...

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
Special Issue

Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications

The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...

A Blockchain-Based Adaptive Security Framework with Real-Time Incident Response and Usability Feedback for Non-Expert Users

The proposed study introduces a blockchain-based framework for an adaptive security solution with real-time incident response and usability feedback for non-expert users. Traditional security solutions are often designed with static, opaque policies, which makes them complex. These issues make them less effective in dealing with complex environments. Thus, to make them more effective, the proposed framework introduces supervised machine learning for attack classification, unsupervised machine learning for anomaly detection, a risk-aware, adaptive policy engine, and…

BIOCELL
Article

PD-1 Blockade Reduces Parasite Load and Restores Anti-Parasitic Immunity in Murine Visceral Leishmaniasis

Objective: Immune checkpoint blockade holds therapeutic potential in visceral leishmaniasis; its underlying mechanism remains unclear. This study aimed to investigate the therapeutic potential and underlying immune mechanisms of Programmed cell death protein 1 (PD-1) blockade in experimental visceral leishmaniasis. Methods: BALB/c mice infected with Leishmania donovani received anti-PD-1 antibody at 35–44 days post-infection. Parasite burden in target organs, serum antibodies, hepatopathology, and transcriptome of the liver were analyzed. T cell exhaustion, activation, apoptosis, and inflammation genes were…

BIOCELL
Article

Dioscin Regulates Mitochondrial Autophagy and Cell Cycle to Promote Pulpal Stem Cell Differentiation and Mineralization

Background: Human dental pulp stem cells (hDPSCs) are promising for dental tissue regeneration. Dioscin (Dio), a natural compound, has various biological activities, but its effects on hDPSCs are unclear. This study aims to systematically elucidate the effects of Dio on promoting the osteogenic differentiation of hDPSCs and the underlying molecular mechanisms. Methods: Characterized hDPSCs were treated with Dio. Cell viability, proliferation, osteogenic differentiation (alkaline phosphatase (ALP) activity, Alizarin Red S (ARS)), and migration (Transwell) were assessed.…

BIOCELL
Review

AKR1B1 as A Metabolic Enzyme and Pleiotropic Signaling Hub

Aldo-keto reductase family 1 member B1 (AKR1B1) was historically characterized as the first and generally rate-limiting enzyme of the polyol pathway and, consequently, was primarily implicated in the pathogenesis of diabetic complications. Recent advances, however, have repositioned AKR1B1 as a pleiotropic signaling hub whose biological functions extend far beyond glucose metabolism. This review systematically integrates the complex regulatory network governing AKR1B1, including transcriptional control by tumor protein p53 (p53) and nuclear factor erythroid 2-related factor…

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 health differently. One significant cause of chronic liver diseases among those living with obesity is metabolic dysfunction-associated steatotic liver disease (MASLD), which is linked to one or more cardiometabolic risk factors in individuals who do not engage in harmful alcohol consumption. Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer…

BIOCELL
Article

CNPY2 Regulates Macrophage Polarization and Inflammatory Immune Responses via the TLR4/NF-κB Signaling Pathway to Alleviate Osteomyelitis of the Jaw

Background: Osteomyelitis of the jaw (OMJ) is a severe infectious bone disease. While Canopy FGF signaling regulator 2 (CNPY2) is known to regulate inflammatory diseases, its role in OMJ remains unclear. The study aimed to investigate the role of CNPY2 in the mandibular joint and its molecular mechanisms. Methods: An in vitro OMJ model was generated by stimulating RAW264.7 macrophages with S. aureus. CNPY2 knockdown and overexpression models were established using siRNA and plasmids. Functional assays assessed cell…

BIOCELL
Article

Synergistic Cell Death: Cisplatin Inflames Tumors by Coordinating Multiple Death Programs

Objective: Multiple programmed cell death (PCD) pathways have been individually reported to be triggered by cisplatin, but whether and how they are co-regulated remains unclear. In this study, we comprehensively investigate the spectrum of cisplatin-induced PCD. Methods: We employed integrated in vitro and in vivo models, including human cancer cell lines, a Cal27 xenograft mouse model, and paired clinical specimens from an oral squamous cell carcinoma patient receiving neoadjuvant cisplatin-based chemotherapy. A comprehensive methodological suite-encompassing cell death assays,…

BIOCELL
Review

Receptor Reexpression after Hypermethylation: Novel Targets for Inhibitors and Antibody-Drug Conjugates in ALL

Despite improved overall prognosis, the treatment of high-risk acute lymphoblastic leukemia (ALL) remains challenging due to the toxicity of intensive polychemotherapy and the limited efficacy of antibody-targeted therapies beyond cluster of differentiation 20 and 22 (CD20 and CD22). ALL is driven not only by genetic alterations but also by profound epigenetic dysregulation, including promoter hypermethylation that also silences surface receptor genes. This epigenetic repression can reduce the efficacy of targeted immunotherapies and contribute to relapse.…

BIOCELL
Article

Anti-Inflammatory Effects of Veratramine against Lipopolysaccharide-Induced Inflammation

Objectives: Plant-derived bioactive molecules are increasingly recognized as valuable therapeutic resources for managing diverse pathological conditions, particularly those involving vascular inflammation. This study aimed to determine whether veratramine (VRT), a naturally occurring steroidal alkaloid found in Veratrum species of the Liliaceae family, attenuates LPS-induced vascular and pulmonary inflammation by upregulating heme oxygenase-1 (HO-1) and modulating the Nrf2, nuclear factor (NF)-κB, and signal transducer and activator of transcription (STAT1) signaling pathways. Methods: The study assessed the modulatory…

BIOCELL
Review

Role of Protein Misfolding in Human Kidney Diseases

Protein misfolding has emerged as a central mechanism in the pathogenesis of human kidney diseases. Normally, proteins achieve their native conformation through highly regulated folding processes in the endoplasmic reticulum (ER) and cytoplasm, assisted by molecular chaperones and quality-control pathways. However, genetic variants, environmental stressors, or cellular overload can destabilize this system, resulting in unfolded or misfolded proteins that trigger aggregation, amyloid formation, endoplasmic reticulum stress, and activation of the unfolded protein response (UPR). These…

BIOCELL
Review

The Immune-Centric Revolution in the Treatment of Musculoskeletal Disease: Autologous PBMNC and PRP-PBMNC Enriched—A Narrative Review

For over two decades, mesenchymal stem cells (MSCs) have been recognised as the cornerstone of orthobiologic treatments for musculoskeletal diseases. However, clinical evidence increasingly indicates that MSC engraftment in inflamed tissues is minimal and transient, with effects mainly driven by paracrine and immunomodulatory mechanisms induced by macrophage efferocytosis. This evolving paradigm emphasises the immune system as the central orchestrator of tissue repair. Peripheral blood mononuclear cells (PBMNCs) have emerged as potent effectors of regenerative inflammation,…

Intelligent Automation & Soft Computing
Article

Local Feature Extraction and Time-Series Forecasting of Crude Oil Prices Using 1D-CNN

Accurate crude oil price forecasting is critical for global economic stability but remains an exceptionally challenging task due to the data’s complex, non-linear, and non-stationary nature. Deep learning models like LSTMs are widely favored. However, the dominant research trend currently focuses on increasingly complex hybrid and ensemble architectures. These models often suffer from high computational overhead, intricate tuning processes, and potential overfitting, raising critical questions about their necessity. In this paper, we challenged the assumption…

Journal on Internet of Things
Article

A Compliance-Integrated Hardware Fingerprinting Framework for Secure IoT Device Authentication

Secure IoT ecosystems are based on the notion that device authentication is reputable. Traditional approaches typically use software identifiers or stored cryptographic keys, which can be cloned, copied, or modified by physical access or supply-chain interference. The current paper presents a hardware fingerprinting system that is based on compliance to enhance the strength of the authentication of the IoT device, that is, to connect physical device properties with organized conformity practices. The tool exploits intrinsic…

Journal on Artificial Intelligence
Review

A Review of Advancements in Deep Learning Approaches for Intrusion Detection Systems

As cyber threats continue to evolve in scale and sophistication, the need for intelligent and adaptive security mechanisms has become increasingly urgent. Intrusion Detection Systems (IDS) are critical components in safeguarding computer networks from malicious activities. This review paper presents a comprehensive analysis of recent advancements in deep learning-based IDS, examining various architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and generative adversarial networks (GANs). The study compares traditional intrusion detection…

Journal on Artificial Intelligence
Article

Camera-LiDAR Fusion for Enhanced Object Detection

This paper presents a static fusion framework that enhances object detection by integrating camera and LiDAR-based detection results. The proposed method focuses on associating 2D candidate bounding boxes from a camera detector with 3D candidate boxes from a LiDAR detector using an Intersection over Union (IoU)-based matching approach. To enhance the quality of 2D detection, we refine the baseline Cascade R-CNN detector by incorporating a dual self-attention mechanism into both the backbone and the region…

Chalcogenide Letters

Review of the Application of Tellurium and Tellurides in Sodium Metal Batteries

Sodium metal batteries stand as a highly promising electrochemical energy storage system; however, their commercialization is severely impeded by challenges such as anode dendrite formation, the shuttle effect of highly reactive intermediates at the cathode, electrode volume expansion, and interfacial instability. Owing to their high electronic conductivity, high theoretical specific capacity, and superior sodiumphilic affinity, tellurium and its tellurides have emerged as pivotal functional materials for enhancing the performance of sodium metal batteries. This study…