Results 131 to 140 of about 9,958 (247)

Coupling Fluid Neutrals to Gyrokinetic Plasma Dynamics for Edge and SOL Turbulence Simulations

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Accurate modeling of turbulent transport in magnetic confinement fusion devices requires extending first‐principles gyrokinetic simulations from the core to the edge and scrape‐off layer (SOL), where additional physics—particularly plasma–neutrals interactions—must be included.
Sabine Ogier‐Collin   +3 more
wiley   +1 more source

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing literature, and emerging studies in eating disorders (ED), we outline the risk and provide simple ...
Jamie‐Lee Pennesi   +2 more
wiley   +1 more source

Absence of Subliminal Body‐Image Priming Effects in Anorexia Nervosa

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Sociocultural and cognitive–neurobiological accounts suggest that automatic processing of body‐related cues may contribute to distorted body representation in anorexia nervosa (AN). This study tested whether subliminally presented body‐image cues modulate explicit evaluations of normal‐weight female bodies in women with AN compared ...
Jana Boettner   +3 more
wiley   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

open access: yesEpilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana   +6 more
wiley   +1 more source

Leptin Reduces Running in a Rodent Anorexia Nervosa Model via a Distributed Neural Network

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Hyperactivity is a persistent and clinically relevant symptom in anorexia nervosa (AN). Hyperactivity is inversely correlated with leptin levels. While systemic leptin administration attenuates hyperactivity in rodent models, the specific brain regions mediating this effect remain unclear.
Nick J. M. Papavoine   +6 more
wiley   +1 more source

Next‐Generation Surgery: Integrating Artificial Intelligence, Genetic Technologies, Bioengineering and Rehabilitation Into Modern Practices

open access: yesExploration, EarlyView.
This graphic abstract depicts the convergence of artificial intelligence, genetic technologies, bioengineering, and rehabilitation as the core pillars of next‐generation surgery. These domains collectively enhance preoperative planning, intraoperative precision, tissue reconstruction, and postoperative recovery, driving a paradigm shift toward ...
Dengxiong Li   +17 more
wiley   +1 more source

Increasing Student Teachers' Preference of Scientific Evidence—Insights From a Utility Value Intervention

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Teacher education should equip student teachers with scientific evidence and scientific theories as a resource for future pedagogical action. In opposition to this, student teachers tend to perceive a rather low utility value of scientific evidence and scientific theories for pedagogical action.
Michael Rochnia   +4 more
wiley   +1 more source

ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley   +1 more source

Machine Learning Methods to Predict the Length of Stay for Acute Stroke: A Scoping Review and Meta‐Analysis

open access: yesHealth Care Science, EarlyView.
Current machine learning models for predicting the length of stay for acute stroke lack clinical utility and reliability. This scoping review highlights areas for improvement to develop more robust, interpretable, generalizable, and clinically actionable models that optimize personalized clinical pathways and support precise decision‐making for stroke ...
Zhenran Xu   +4 more
wiley   +1 more source

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