2 research outputs found
The Effectiveness of Mindfulness-based Stress Reduction on Sleep Quality in Patients With Multiple Sclerosis
No full textBackground: Poor sleep quality (SQ) is a common problem in patients with multiple sclerosis (MS), which may reduce the quality of life and mood state and cause neuropsychological issues. Objectives: This study aimed to investigate the effectiveness of mindfulness-based stress reduction (MBSR) on the SQ in women who suffer from MS. Materials & Methods: From the patients with MS diagnosed by neurologists, 48 were selected by convenient sampling and randomly assigned to MBSR and control groups. The participants of two groups filled out the Pittsburgh sleep quality questionnaire as a pre-test, 8 weeks later as a post-test, and 1 month later as a follow-up. The MBSR group received 8 sessions of group therapy, while the control group did not receive any psychotherapy. The data were analyzed using variance analysis. Results: The results showed that the SQ of the MBSR group improved in all aspects significantly (P<0.01). Conclusion: Mindfulness-based stress reduction is helpful for improving the SQ in patients with MS. Copyright © 2024 The Author(s); This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC: https://creativecommons.org/licenses/by-nc/4.0/legalcode.en), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes
A remote-controlled global navigation satellite system based rover for accurate video-assisted cadastral surveys
No full textOne of the main tasks of a cadastral surveyor is to accurately determine property boundaries by measuring control points and calculating their coordinates. This paper proposes the development of a remotely-controlled tracking system to perform cadastral measurements. A Bluetooth-controlled rover was developed, including a Raspberry Pi Zero W module that acquires position data from a VBOX 3iSR global navigation satellite system (GNSS) receiver, equipped with a specific modem to download real-time kinematic (RTK) corrections from the internet. Besides, the Raspberry board measures the rover speed with a hall sensor mounted on a track, adjusting the acquisition rate to collect data at a fixed distance. Position and inertial data are shared with a cloud platform, enabling their remote monitoring and storing. Besides, the power supply section was designed to power the different components included in the acquisition section, ensuring 2 hours of energy autonomy. Finally, a mobile application was developed to drive the rover and real-time monitor the travelled path. The tests indicated a good agreement between rover measurements and those obtained by a Trimble R10 GNSS receiver (+0.25% mean error) and proved the superiority of the presented system over a traditional metric wheel
