Results 171 to 180 of about 37,853 (293)

How Can We Improve the Assessment and Indifferent Outcomes From Pelvic Organ Prolapse Management From Conservative and Surgical Therapies? ICI‐RS 2025

open access: yesNeurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Pelvic organ prolapse is a common condition and many women seek surgical treatment for prolapse symptoms. However, recurrence of prolapse after surgical treatment is common. A think tank was held at ICI‐RS 2025 to discuss how the assessment and indifferent results from conservative and surgical management can be improved.
Rohna Kearney   +9 more
wiley   +1 more source

Exercise, exerkines, and muscle–brain crosstalk in Parkinson's disease

open access: yesNeuroprotection, EarlyView.
Abstract Parkinson's disease (PD) is a progressive neurodegenerative disorder with motor and non‐motor symptoms, driven by dopaminergic loss and α‐synuclein accumulation. Beyond neurodegeneration, growing evidence highlights skeletal muscle health as a key determinant of prognosis, with sarcopenia and frailty contributing to greater disability, fall ...
Salomón Páez‐García   +7 more
wiley   +1 more source

Bioclimatic, demographic and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem

open access: yesOikos, EarlyView.
Plasticity of diel activity rhythms may be a key element for adaptations of wildlife populations to changing environmental conditions. In the last decades, grizzly bears Ursus arctos in the Greater Yellowstone Ecosystem (GYE) have experienced notable environmental fluctuations, including changes in availability of food sources and severe droughts ...
Aurora Donatelli   +4 more
wiley   +1 more source

Microstructure–Mechanical Response Relationship in Discontinuous Fiber‐Reinforced SMC Composites: Damage Mechanisms

open access: yesPolymer Composites, EarlyView.
Architecture of SMC composites. ABSTRACT The mechanical performance of sheet molding compounds (SMCs) is dependent on microstructural characteristics determined by material composition and processing conditions. The study investigates standard SMCs, advanced SMCs (A‐SMCs), and low‐density SMCs (LD‐SMCs) under quasi‐static and fatigue loading to ...
Mohammadali Shirinbayan
wiley   +1 more source

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage (voc$$ {v}_{oc} $$) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets.
Sandra Riaño   +4 more
wiley   +1 more source

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