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European Cytokine Network
REVIEW

Emerging viral infections: role of flavivirus NS1-mediated rewiring of PRR signaling

Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...

European Cytokine Network
REVIEW

Targeting the cytokine-epigenetic axis: a new paradigm and prospects for disease treatment

Cytokines, as key signaling molecules, are involved in the regulation of physiological and pathological processes such as inflammation, immunity, and...

European Cytokine Network
REVIEW

Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications

Severe immune-mediated complications following viral infections and vaccinations, including COVID-19 and anti–SARS-CoV-2 immunization, display remarkable...

BIOCELL
ARTICLE

Organ-Specific Metabolic Adaptations to Acute Injury and Their Modulation by Fumarate

Objectives: Metabolic substrate deficiency is a key factor in many pathologies, with organ vulnerability depending on specialized metabolic profiles....

BIOCELL
REVIEW

Cellular Senescence in the Cardiovascular System: Molecular Mechanisms, Pathophysiology, and Senotherapeutic Interventions

Cellular senescence and the Senescence-Associated Secretory Phenotype (SASP) play both physiological and pathological roles in the cardiovascular system....

BIOCELL
REVIEW

Decoding Enterovirus 71: Molecular Functions of Structural and Nonstructural Proteins in Viral Replication and Host Manipulation

Enterovirus 71 (EV71), a member of the family Picornaviridae, genus Enterovirus, is an agent of hand, foot, and mouth disease (HFMD) and remains a persistent...

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...

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...

Energy Engineering
ARTICLE

Intelligent Operation Strategies for PVT-ASHP Heating and Hot Water Systems in Industrial Parks Based on Reinforcement Learning

In response to the high energy consumption, large load fluctuations, and insufficient adaptability associated with conventional control strategies in...

Oncology Research
REVIEW

Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies

Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with...

Oncology Research
REVIEW

Prognostic Value of Spatial and Topological Features of Tumor Microenvironment in Classic Hodgkin Lymphoma

Classic Hodgkin lymphoma (CHL) constitutes a B-cell malignant lymphoid neoplasm derived from the germinal center. Despite current treatment protocols...

Oncology Research
REVIEW

Engineering the Future of ADCs in Non-Small Cell Lung Cancer

Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal...

Oncology Research
REVIEW

Clostridiaceae in Cancer Management

Unfavorable epidemiological forecasts indicating a significant increase in cancer incidence and mortality, as well as limitations of traditional cancer...

Computers, Materials & Continua
REVIEW

A Review of the Application of Machine Learning in Additive Manufacturing

Additive manufacturing (AM) has emerged as a transformative technology in modern manufacturing, offering unprecedented capabilities for producing complex...

Computers, Materials & Continua
REVIEW

Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions

Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation...

Computers, Materials & Continua
REVIEW

Data-Driven Materials Science Using Machine Learning and Computational Modeling

This review emphasizes the growing role of artificial intelligence (AI) in transforming the materials discovery process into a data-driven and autonomous...

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...

Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

Computer Modeling in Engineering & Sciences
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...

European Cytokine Network
REVIEW

Emerging viral infections: role of flavivirus NS1-mediated rewiring of PRR signaling

Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...

European Cytokine Network
REVIEW

Targeting the cytokine-epigenetic axis: a new paradigm and prospects for disease treatment

Cytokines, as key signaling molecules, are involved in the regulation of physiological and pathological processes such as inflammation, immunity, and...

European Cytokine Network
REVIEW

Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications

Severe immune-mediated complications following viral infections and vaccinations, including COVID-19 and anti–SARS-CoV-2 immunization, display remarkable...

BIOCELL
ARTICLE

Organ-Specific Metabolic Adaptations to Acute Injury and Their Modulation by Fumarate

Objectives: Metabolic substrate deficiency is a key factor in many pathologies, with organ vulnerability depending on specialized metabolic profiles....

BIOCELL
REVIEW

Cellular Senescence in the Cardiovascular System: Molecular Mechanisms, Pathophysiology, and Senotherapeutic Interventions

Cellular senescence and the Senescence-Associated Secretory Phenotype (SASP) play both physiological and pathological roles in the cardiovascular system....

BIOCELL
REVIEW

Decoding Enterovirus 71: Molecular Functions of Structural and Nonstructural Proteins in Viral Replication and Host Manipulation

Enterovirus 71 (EV71), a member of the family Picornaviridae, genus Enterovirus, is an agent of hand, foot, and mouth disease (HFMD) and remains a persistent...

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...

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...

Energy Engineering
ARTICLE

Intelligent Operation Strategies for PVT-ASHP Heating and Hot Water Systems in Industrial Parks Based on Reinforcement Learning

In response to the high energy consumption, large load fluctuations, and insufficient adaptability associated with conventional control strategies in...

Oncology Research
REVIEW

Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies

Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with...

Oncology Research
REVIEW

Prognostic Value of Spatial and Topological Features of Tumor Microenvironment in Classic Hodgkin Lymphoma

Classic Hodgkin lymphoma (CHL) constitutes a B-cell malignant lymphoid neoplasm derived from the germinal center. Despite current treatment protocols...

Oncology Research
REVIEW

Engineering the Future of ADCs in Non-Small Cell Lung Cancer

Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal...

Oncology Research
REVIEW

Clostridiaceae in Cancer Management

Unfavorable epidemiological forecasts indicating a significant increase in cancer incidence and mortality, as well as limitations of traditional cancer...

Computers, Materials & Continua
REVIEW

A Review of the Application of Machine Learning in Additive Manufacturing

Additive manufacturing (AM) has emerged as a transformative technology in modern manufacturing, offering unprecedented capabilities for producing complex...

Computers, Materials & Continua
REVIEW

Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions

Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation...

Computers, Materials & Continua
REVIEW

Data-Driven Materials Science Using Machine Learning and Computational Modeling

This review emphasizes the growing role of artificial intelligence (AI) in transforming the materials discovery process into a data-driven and autonomous...

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...

Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

Computer Modeling in Engineering & Sciences
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...

Correction: Fault Identification in Renewable Energy Transmission Lines Using Wavelet Packet Decomposition and Voltage Waveform Analysis

This article has no abstract.

Energy Engineering
Article

Mapping Characteristics of the Filtration Performance of Gas Turbine Inlet Air Filters under Typical Environmental Conditions

The performance evaluation of gas turbine inlet air filtration systems is commonly based on standardized laboratory testing; however, discrepancies frequently arise between laboratory results and actual operating performance. In this study, an on-site testing apparatus was developed to investigate filtration behavior under realistic operating conditions. Field measurements were conducted to analyze pressure loss evolution, particle-size-dependent filtration efficiency, and the influence of environmental parameters, including temperature, humidity, and ambient particulate concentration. Results show that filter pressure…

Energy Engineering
Review

Building Less to Achieve More: A Review of Service-Based Sufficiency Pathways in Global Net-Zero Transitions

Limiting warming to the Paris temperature goals requires a rapid scale-up of low-carbon energy, yet recent experience suggests that deployment is increasingly shaped by delivery constraints rather than by technology cost trends alone. This review synthesizes peer-reviewed evidence on five constraints that repeatedly slow net-zero buildouts: lengthy approval and grid-connection processes; capital-intensive investment profiles that heighten sensitivity to the cost of capital and revenue risk; bottlenecks in critical minerals, processing, and manufacturing; social contestation and…

Energy Engineering
Article

Dynamic Digital Twin Network for Real-Time Safety Monitoring and Predictive Risk Assessment of Hydrogen Refueling Infrastructure

The current global energy situation is very fragile. Much more stable and predictable energy security is needed. Due to global climate conditions, it is advisable to prioritize fuels that are high in energy content and relatively easy to produce, such as hydrogen. However, the widespread deployment of hydrogen refueling stations is hampered by significant safety challenges, including hydrogen’s high flammability, its tendency to leak, and high-pressure storage requirements. This study examines how digital twin technology…

Energy Engineering
Article

Energy and Exergy Analysis with Heat Exchanger Network Optimization of an Indian Dairy Industry

The dairy processing industries are energy-intensive because of the high level of thermal and refrigeration processes. In this study, a large-scale dairy processing unit in South India has been analyzed thermodynamically and optimized by applying integrated energy and exergy analysis along with heat exchanger network (HEN) optimization. The operational data of one year of a plant manufacturing milk, curd, butter and ghee was analysed. Estimation of theoretical electrical and thermal energy requirements was carried out…

Energy Engineering
Article

The Development of Very Low Frequency Electromagnetic (VLF-EM) in Determining Soil Zones for Renewable Energy Infrastructure Optimization

The global energy transition toward net-zero emissions requires the massive development of renewable energy infrastructure. However, the efficiency and safety of installations such as wind turbines, solar panels, and energy storage systems are highly dependent on subsurface physical characteristics. Neglecting geological structures such as active faults or corrosive zones, risks structural failure and electrical system malfunctions. This research proposes the use of the Very Low Frequency Electromagnetic (VLF-EM) method as a fast and non-destructive geophysical…

Energy Engineering
Article

A MCG-GFAM-MRDCM Model for Accurate Building Electricity Load Forecasting

Accurate building electricity load forecasting (BELF) can provide a regulatory basis for building energy management systems and promote the transition of buildings toward low-carbon and intelligent operation modes. However, building electricity load is influenced by historical loads, as well as outside environmental conditions such as humidity and temperature, which reduces the prediction accuracy of models. To tackle these challenges, this study presents a BELF model, which consists of a modal component grouping approach, grouped feature…

Energy Engineering
Article

Assessing the Role of Aggregated Flexibility from Public Buildings in Enhancing Renewable Energy Integration

This paper evaluates the role of aggregated demand-side flexibility from public buildings in supporting renewable energy integration and decarbonization of the Slovenian energy system. Using high-resolution monitoring data from over 100 public buildings and the H2RES energy system optimization model, two long-term scenarios are analyzed for the period 2020–2050: a reference scenario without public building flexibility and a flexibility scenario in which public building heat demand is electrified via heat pumps. The year 2020 is…

Energy Engineering
Review

A Review on Global Trends in Inverter Topologies, Controllers, Applications, Challenges and Solutions

Inverters play an essential and indispensable role in energy conversion within modern electrical power systems. Conventional two-level inverters (2LIs) have been widely adopted across industrial applications due to their simple structure and mature control strategies. However, 2LIs exhibit several limitations when interfacing with utility-scale grid systems, including higher harmonic distortion, increased switching stress, and reduced efficiency in high-voltage and high-power operations. Multilevel Inverters (MLIs) have emerged as a transformative solution, enabling high-voltage and high-power applications…

Energy Engineering
Article

Techno-Economic Analysis of a Power-to-Heat System with Waste Water Heat Recovery Powered Mainly by an Off-Grid Wind Turbine

The transformation of district heating systems in Germany is a central topic in energy and climate policy, given the 2045 climate neutrality targets. This study focuses on the main district heating system in the city of Göttingen in Germany, whose heat generation currently relies primarily on three Combined Heat and Power (CHP) plants subsidized under the German CHP Act, one wood chip boiler and two gas boilers. In 2025, the network’s heating demand amounted to…

Energy Engineering
Article

Predicting PV Power with a Multi-Stage Attention Neural Network Based on Neural Ordinary Differential Equations at Egyptian Stations

To enable the integration of photovoltaic (PV) power into electrical grids, accurate predictions are vital. This study applies the Multistage Attention Neural Ordinary Differential Equation (MANODE) model, which combines Long Short-Term Memory (LSTM) networks, Temporal Convolutional Networks (TCN), and a two-stage attention mechanism to capture complex spatiotemporal patterns for PV power forecasting. The improved MANODE model is evaluated on three real-world datasets from PV stations in Egypt. Each dataset contains 12 feature parameters and spans…

Energy Engineering
Article

Turbulent Flow and Thermal-Hydrodynamic Optimization in Evaporator Tubes with Transverse Partitions

This study numerically investigates turbulent flow and thermal performance in evaporator tubes equipped with rectangular partitions positioned at different locations. Two configurations are analyzed: (A) partitions on the top wall, center of channel, and bottom wall, and (B) partitions on the bottom wall, center of channel, and top wall. In addition, we examine the effect of varying the positions of the obstacles (S=D2,S=D,S=5D4, andS=3D/2) and the inclination angle (θ=60∘, θ=75∘, θ=90∘, θ=105∘ and…

Energy Engineering
Article

Energy Policy, Market Environment and Renewable Energy Development: Quantitative Evaluation Based on CGE Model

In order to investigate the impacts of government policy and market environment on the development of renewable energy, this paper constructs a computable general equilibrium (CGE) model to simulate the impacts of policy scenarios, market scenarios and policy-market scenarios on renewable energy output and investment, energy structure, economy and environment based on China’s input-output extension table in 2020. The results show that: the subsidy can optimize the energy structure and power structure, and non-hydropower renewable…

Energy Engineering
Article

A New Well-Testing Method for Pumping-Shutdown Data of Multi-Fractured Horizontal Wells: A Case Study from the Sichuan Shale Gas Basin

In southern Sichuan’s deep shale gas development, multi-stage fractured horizontal wells are commonly used. Evaluating fracturing results is challenging due to complex fracture networks. This study classifies fracture systems into four types: single-wing, bi-wing, branched, and serial fractures. A discrete fracture model (DFM) combined with matrix-fracture flow is used to establish a single-stage well testing interpretation model. To address multi-solution issues in well testing, an equivalent fracture network model based on a trilinear flow model…

Energy Engineering
Article

Toward Reliable Battery Life Prediction: A Hybrid Data-Driven Framework with Uncertainty Quantification

Accurately predicting battery life is essential for performance management and system safety. Due to the complexity and diversity of internal mechanisms in lithium-ion batteries, their nonlinear characteristics directly give rise to uncertainty in the battery degradation process. However, most existing prediction methods do not fully account for the uncertainty caused by various factors and only provide a point estimate finally. To address this issue, this paper proposes a new framework that combines Random Forest and…

Energy Engineering
Article

A Short-Term Wind Power Forecasting Method Based on Adaptive BKA-TCN-BiLSTM Hybrid Model with AP Clustering

The intermittency of wind power poses severe challenges to the safe and stable operation of power grids, while conventional forecasting models are deficient in prediction accuracy and adaptability to variable weather conditions. To address these issues, this study proposes an adaptive short-term wind power forecasting model integrating affinity propagation (AP) clustering and a black-winged kite algorithm (BKA)-optimized temporal convolutional network-bidirectional long short-term memory (TCN-BiLSTM) hybrid architecture. First, mutual information was employed to screen key meteorological…