Results 191 to 200 of about 56,489 (266)

EEG CONNECT: A proposed reporting checklist for EEG‐based connectivity studies in clinical epilepsy research

Epilepsia Open, EarlyView.
Abstract EEG‐based connectivity analysis has emerged as a promising approach for investigating brain network dynamics in clinical epilepsy research. However, the diversity of analytical approaches, preprocessing pipelines, and reporting practices poses challenges to reproducibility and clinical translation.
Naoto Kuroda, Ethan Firestone, Giulia Sofia Cereda, Jesús Servando Medel‐Matus, Pedro F. Viana, Aristea S. Galanopoulou, Eishi Asano   +6 more
wiley   +1 more source

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model. [PDF]

Sensors (Basel), 2020
Bai YT, Wang XY, Jin XB, Zhao ZY, Zhang BH.   +4 more
europepmc   +1 more source

Critically Revisiting the Psychometric Properties of the EDE‐Q and Its Short Forms: Is It Time to Move On?

European Eating Disorders Review, EarlyView.
ABSTRACT Background The Eating Disorder Examination Questionnaire (EDE‐Q) remains the most widely used self‐report measure of eating disorder symptoms, despite concerns regarding its factorial instability, construct redundancy, and local item dependence. Numerous brief versions have been proposed to address these limitations.
Rafael Moreton Alves da Rocha, Andrea Phillipou, Erica Neill, Stephanie Miles   +3 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Effects of flow‐controlled expiration on oxygenation and early recovery in horses undergoing general anaesthesia

Equine Veterinary Journal, EarlyView.
Abstract Background FLow‐controlled EXpiration (FLEX) has been shown to significantly enhance oxygenation in horses under clinical and experimental conditions. Objectives To compare pulmonary gas exchange during early recovery following general anaesthesia in horses ventilated with FLEX compared with conventional intermittent positive pressure ...
Allison Mika, Jerrianne Brandly, Alycia Frampton, Hope Douglas, Miranda Starr, Henry Benchimol, Klaus Hopster   +6 more
wiley   +1 more source

Empirical Study on the Relationship between Agricultural Economic Structure Growth and Environmental Pollution Based on Time-Varying Parameter Vector Autoregressive Model.

J Environ Public Health, 2022
Li X, Huang F.
europepmc   +1 more source

Pancreatic α‐cell dysfunction associated with equine insulin dysregulation

Equine Veterinary Journal, EarlyView.
Abstract Background Insulin dysregulation (ID) in horses is characterised by insulin resistance and exaggerated insulin responses, yet the underlying endocrine mechanisms remain incompletely understood. In humans, α‐cell dysfunction characterised by exaggerated glucagon secretion contributes to metabolic disease; however, the role of pancreatic α‐cell ...
Sanna Lindåse, Emma Strage, Josefin Söder, Johan Bröjer   +3 more
wiley   +1 more source

Warmed intravenous fluid administration attenuated a reduction in body temperature in anaesthetised horses

Equine Veterinary Journal, EarlyView.
Abstract Background Peri‐anaesthetic hypothermia is a well‐documented complication of general anaesthesia and is associated with prolonged recovery, impaired wound healing, and delayed coagulation. Fluid warmers can be used to mitigate heat loss, but there is little evidence supporting their effectiveness in equine anaesthesia.
Miranda P. Starr, Alycia Frampton, Allison Mika, Klaus Hopster, Hope Douglas   +4 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

Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model

Journal of Forecasting, EarlyView.
ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
wiley   +1 more source