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Interim Analysis of a Prospective Polysomnographic Study of Weighted Blankets in Patients with Psychophysiological Insomnia.

Psychiatry Clin Psychopharmacol

December 2024

Sleep and Disorders Unit, Division of Clinical Neurophysiology, Department of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, İstanbul, Türkiye.

Background: Weighted blankets have recently introduced in the treatment on insomnia as a nonpharmacological integrative therapy. Here we prospectively evaluated the effects of weighted blankets on the sleep structure and heart rate variability (HRV) in patients with primary psychophysiological insomnia.

Methods: In this prospective polysomnographic (PSG) study between August 2021 and August 2022, patients were given weighted blankets (~10% of body weight) to use at home for 10 nights consecutively.

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Cutaneous leishmaniasis is a parasitic disease that poses significant diagnostic challenges due to the variability of results and reliance on operator expertise. This study addresses the development of a system based on machine learning algorithms to detect spp. parasite in direct smear microscopy images, contributing to the diagnosis of cutaneous leishmaniasis.

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Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer.

Sensors (Basel)

December 2024

Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.

In the field of muscle fatigue models (MFMs), the prior research has demonstrated success in fitting data in specific contexts, but it falls short in addressing the diverse efforts and rapid changes in exertion typical of soccer matches. This study builds upon the existing model, aiming to enhance its applicability and robustness to dynamic demand shifts. The objective is to encapsulate the complexities of soccer dynamics with a streamlined set of parameters.

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Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.

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Temporal parameters are crucial for understanding running performance, especially in elite sports environments. Traditional measurement methods are often labor-intensive and not suitable for field conditions. This study seeks to provide greater clarity in parameter estimation using a single device by comparing it to the gold standard.

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