Results 121 to 130 of about 32,628 (309)

Gut microbiota shifts and short‐chain fatty acids alterations in pediatric epilepsy patients on a Mediterranean ketogenic diet

Epileptic Disorders, EarlyView.
Abstract Objective The olive oil–based Mediterranean ketogenic diet (MedKD) may support patients with drug‐resistant epilepsy (DRE) or neurometabolic disorders by integrating ketogenic therapy with the cardiometabolic and neuroprotective advantages of the Mediterranean diet.
Sofia Zouganeli, Evdokia K. Mitsou, Mary Yannakoulia, Evangelia Intze, Konstantinos C. Mountzouris, Smaragdi Fessatou, Achilleas Attilakos, Adamantini Kyriacou, Argyrios Dinopoulos   +8 more
wiley   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Application of GAN–CNN in Risk Assessment of Pipeline Failures in Multiphase Pipeline With Image Information Encoding Approach

Energy Science &Engineering, EarlyView.
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley   +1 more source

Mixing Behavior of Natural Gas and Hydrogen in a High‐Efficiency Vane (HEV) Static Mixer

Energy Science &Engineering, EarlyView.
Static mixers play a crucial role in the safe transport of hydrogen‐blended natural gas. Computational fluid dynamics (CFD) was employed to investigate the effects of structural parameters of the HEV static mixer on the mixing behavior and homogeneity of natural gas and hydrogen. The modeling approach was well validated against experimental data.
Xiang Zhou, Jun Zheng, Weiqing Xu, Dewen Kong, Yan Shi, Maolin Cai   +5 more
wiley   +1 more source

Investigation and Evaluation of Wax Deposition Treatment Methods in Large Natural Gas Plants

Energy Science &Engineering, EarlyView.
Problem: Wax blockage (Biphenyl, PAHs) in low‐temperature units crippled plant capacity. Solution: A novel Circulating Light Hydrocarbon Injection technology. Mechanism: Light hydrocarbons disrupt wax crystals via “like dissolves like” and are continuously recovered. Outcome: 1. Throughput dropped from 10 MMscmd to 3 MMscmd 2.
Jiahao Wu, Xing Chen, Fanzeng Yang, Kejia Zhang, Zhihan Cao, Xuyang Zhang, Dong Jiang   +6 more
wiley   +1 more source

Numerical Investigation of Methane Transport Within and Around Evolving Cracks

Energy Science &Engineering, EarlyView.
A validated model shows that natural gas leakage induces soil deformation and forms three key cracks. When diffusion is low, methane moves mainly along the primary crack, demonstrating how natural fractures reshape pathways and significantly enhance methane migration.
Le Wang, Xinxiong Lv, Yu Ding, Qichang Ni   +3 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Chemistry Underlying the Behavior of Food and Agricultural Components During Industrial Manufacturing Processes and Its Implications in Quality Assurance, Food Quality, and Food Safety Management: A Systematic Review

Food Safety and Health, EarlyView.
Industrial manufacturing processes have transformative effects on the components of food matrix. These transformations in food matrix and components have direct implications for quality assurance (QA), food quality (e.g., nutritional profile and texture), and food safety management (e.g., pathogen control and toxin mitigation). ABSTRACT This systematic
Chinaza Godswill Awuchi
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source