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Objective: To investigate the association between time spent on screen-based sedentary behavior (SBSB) and depression symptom severity (DSS) among adults with type 2 diabetes., Methods: A cross-sectional study employing secondary data collected by Qatar Biobank (QBB) on 2386 adults with type 2 diabetes aged ≥ 18 years. Self-reported data on DSS measured using the Patient Health Quationnaire-9 and daily time spent on SBSB per week was used., Results: After adjusting for covariates, including physical activity and sleep duration, subjects who spent 2-4 h or > 4 h a day on SBSB watching TV or other devices other than computers during weekdays had increased odds of higher DSS than subjects who spent < 1 h by 44% (95% Confidence interval (CI) 13-83%) and 52% (95% CI 17-96%), respectively. Subjects who spent > 4 h a day on SBSB using computers during weekdays had increased odds of higher DSS by 115% (95% CI 56-196%) than subjects who spent < 1 h. Similar associations were observed between time spent on SBSB using the mentioned devices during weekends and DSS., Conclusion: Increase in time spent on SBSB is independently associated with increased DSS among adults with type 2 diabetes regardless of the equipment used or timing of the week., Competing Interests: Declaration of Competing Interest None., (Copyright © 2023 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)

This study aims to develop a robust control for the quadrotor slung-load system that efficiently follows a reference trajectory. A fractional-order robust sliding mode control has been chosen to control the quadrotor's altitude, position, and attitude. An anti-swing controller was also installed to limit the swing angle of the suspended load. It was created via delayed feedback, in which the quadrotor's position reference trajectory is changed by the difference of the load angles within a specific delayed value. Designing an adaptive FOSMC would control the system when the system uncertainties do not know the bounds. Moreover, the control parameters and the anti-swing controller for the FOSMC can be obtained using some optimization techniques to increase the controllers' accuracy., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 ISA. Published by Elsevier Ltd. All rights reserved.)

Globally, informed decision on the most effective set of restrictions for the containment of COVID-19 has been the subject of intense debates. There is a significant need for a structured dynamic framework to model and evaluate different intervention scenarios and how they perform under different national characteristics and constraints. This work proposes a novel optimal decision support framework capable of incorporating different interventions to minimize the impact of widely spread respiratory infectious pandemics, including the recent COVID-19, by taking into account the pandemic's characteristics, the healthcare system parameters, and the socio-economic aspects of the community. The theoretical framework underpinning this work involves the use of a reinforcement learning-based agent to derive constrained optimal policies for tuning a closed-loop control model of the disease transmission dynamics., (© 2021 The Author(s).)

It is the responsibility of each organization, including private practice businesses, to maintain a comprehensive medical records retention policy. While registered dietitian nutritionists (RDNs) are qualified and competent business owners, navigating through the challenges of proper medical record management can be difficult without a sound policy. A comprehensive medical record retention policy consists of 4 major components: creation, utilization, maintenance, and destruction as well as a retention schedule. Successful implementation of a comprehensive medical record retention policy promotes positive clinician-patient interaction and avoidance of potential legal ramifications., (Copyright © 2021 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Malnutrition is a frequent, but often overlooked clinical issue that can significantly impact patient health outcomes and thus has been identified as a critical target for quality improvement. One recent advancement helping build momentum in quality improvement is the Malnutrition Quality Improvement Initiative (MQii). Frameworks like the MQii need clinical leadership to achieve success. A new taxonomy for clinical dietetics leadership describes five components of leadership behaviors-change, patient focus, self-direct, technical, and relationship-that align with the MQii tools and resources. Qualitative interviews were conducted with four clinical nutrition leaders from three health care systems or institutions who were part of the 2018-2019 MQii Learning Collaborative and had reported success and innovations using the MQii framework. The clinical dietetics leadership taxonomy was applied to describe how the clinical nutrition leaders demonstrated and supported leadership opportunities for clinical nutrition staff through implementation of the MQii. FUNDING/SUPPORT: Publication of this supplement was supported by Abbott. The Academy of Nutrition and Dietetics does not receive funding for the MQii. Avalere Health's work to support the MQii was funded by Abbott., (Copyright © 2019 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)