Results 61 to 70 of about 18,436 (217)
Daily Body (Dis‐)Satisfaction and Dietary Restriction in Women Across the Eating Disorder Spectrum
ABSTRACT Objective Body dissatisfaction is a key risk factor in eating disorder development: It is theorized to promote dietary restriction, thereby contributing to symptom onset. Evidence for this pathway primarily comes from cross‐sectional or multi‐wave questionnaire studies in bulimia nervosa (BN) and anorexia nervosa (AN).
Michaela R. Buehler +3 more
wiley +1 more source
ABSTRACT Objectives There is an increasing trend towards embedding consumer and community involvement in all health and medical research. The Executive Committee of the International Journal of Eating Disorders (IJED) disseminated a survey for eating disorder researchers investigating their practices and perspectives regarding Patient and Public ...
Tracey D. Wade +8 more
wiley +1 more source
A new algorithm called multistep reproducing kernel Hilbert space method is represented to solve nonlinear oscillator’s models. The proposed scheme is a modification of the reproducing kernel Hilbert space method, which will increase the intervals of ...
Banan Maayah +3 more
doaj +1 more source
Abstract Objective Surgical decision‐making in temporal lobe epilepsy (TLE) faces a critical challenge in determining whether the hippocampus can be safely spared during anterior temporal resection, particularly when surgery involves the language‐dominant hemisphere.
Guhan Seshadri NP +6 more
wiley +1 more source
Abstract Objective Detection of epilepsy‐causing structural brain lesions on magnetic resonance imaging (MRI) is critical for diagnosis, prognosis, and treatment planning in people with epilepsy. We aimed to establish an epilepsy‐directed multisite harmonized 3‐T MRI acquisition protocol for the Australian Epilepsy Project (AEP) and describe the ...
David N. Vaughan +19 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley +1 more source
Immersed Boundary Projection Method for Boundaries With Slip Velocities
A formulation of the immersed boundary method for incompressible flow over arbitrarily‐shaped bodies with surface slip described by the Navier boundary condition is presented. The wall slip velocity and the boundary force are determined implicitly through a projection to satisfy both the boundary condition and the divergence‐free condition of the ...
Takehiro Fujii, Takeshi Omori
wiley +1 more source
ABSTRACT Objective Externalisation is a therapeutic approach that separates the problem from the person, widely used in treating anorexia nervosa (AN) to help young people understand their illness and to collaborate with their families against the disorder.
Alex Skolnick +2 more
wiley +1 more source
Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies
Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil +6 more
wiley +1 more source

