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| http://dx.doi.org/10.1007/s10096-021-04338-8 | DOI Listing |
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Digital Gaming and Subsequent Health and Well-Being Among Older Adults: Longitudinal Outcome-Wide Analysis.
J Med Internet Res
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, United States.
Background: Digital gaming has become increasingly popular among older adults, potentially offering cognitive, social, and physical benefits. However, its broader impact on health and well-being, particularly in real-world settings, remains unclear.
Objective: This study aimed to evaluate the multidimensional effects of digital gaming on health and well-being among older adults, using data from the Japan Gerontological Evaluation Study conducted in Matsudo City, Chiba, Japan.
Correct treatment of chronic osteomyelitis depends on proper identification of the bone-infecting microorganism, but it is difficult identify the specific etiology in previously treated patients and in those with implants. Small colony variants auxotrophyc for menadione had been related with false-negative results in culture of patient with chronic osteomyelitis, but menadione supplementation can increase bone culture performance. The purpose was to evaluate the effect of menadione supplementation on isolates in bone cultures, in a cohort of patients with osteomyelitis, Medellín- Colombia.
View Article and Find Full Text PDFHigh tibial osteotomy (HTO) is a widely used procedure for delaying knee arthroplasty, correcting alignment, and relieving symptoms in patients with knee osteoarthritis. Recently, proximal fibular osteotomy (PFO) has emerged as a less invasive and more cost-effective alternative. This study compares the outcomes of HTO and PFO to evaluate whether PFO can deliver results comparable to HTO in similar patient populations.
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Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia.
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL.
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