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Designing and incorporating integrated oral health care pathways for pediatric and adult patients: touchpoints in a dental setting.
BMC Oral Health
January 2025
National Center for Professional Training, Ministry of Health and Medical Education, Tehran, Iran.
Background: Maintenance of oral health, prevention, and health promotion stand as primary competencies for dental graduates. Consequently, it is necessary to promote such an approach in dental schools, which are traditionally focused on treatment, to improve the attitude and practice of students in the field of prevention, the final result of which is the reduction of oral and dental diseases in patients. The study aimed to design Integrated Oral Health Care Pathways (IOHCPs) for adults and children referred to Tehran University of Medical Sciences (TUMS), School of Dentistry.
View Article and Find Full Text PDFA modeling study to define guidelines for antigen screening in schools and workplaces to mitigate COVID-19 outbreaks.
Commun Med (Lond)
January 2025
International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan.
Background: In-person interaction offers invaluable benefits to people. To guarantee safe in-person activities during a COVID-19 outbreak, effective identification of infectious individuals is essential. In this study, we aim to analyze the impact of screening with antigen tests in schools and workplaces on identifying COVID-19 infections.
View Article and Find Full Text PDFLignin alkali regulated interfacial polymerization towards ultra-selective and highly permeable nanofiltration membrane.
Nat Commun
January 2025
School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China.
Thin-film composite polyamide (TFC PA) membranes hold promise for energy-efficient liquid separation, but achieving high permeance and precise separation membrane via a facile approach that is compatible with present manufacturing line remains a great challenge. Herein, we demonstrate the use of lignin alkali (LA) derived from waste of paper pulp as an aqueous phase additive to regulate interfacial polymerization (IP) process for achieving high performance nanofiltration (NF) membrane. Various characterizations and molecular dynamics simulations revealed that LA can promote the diffusion and partition of aqueous phase monomer piperazine (PIP) molecules into organic phase and their uniform dispersion on substrate, accelerating the IP reaction and promoting greater interfacial instabilities, thus endowing formation of TFC NF membrane with an ultrathin, highly cross-linked, and crumpled PA layer.
View Article and Find Full Text PDFThe Effectiveness of Video Animations as a Tool to Improve Health Information Recall for Patients: Systematic Review.
J Med Internet Res
December 2024
University Clinic for Interdisciplinary Orthopedic Pathways (UCOP), Elective Surgery Center, Silkeborg Regional Hospital, Silkeborg, Denmark.
Background: Access to clear and comprehensible health information is crucial for patient empowerment, leading to improved self-care, adherence to treatment plans, and overall health outcomes. Traditional methods of information delivery, such as written documents and oral communication, often result in poor memorization and comprehension. Recent innovations, such as animation videos, have shown promise in enhancing patient understanding, but comprehensive investigations into their effectiveness across various health care settings are lacking.
View Article and Find Full Text PDFNon-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML.
Sci Rep
January 2025
Department of Electrical Engineering, California Polytechnic State University, San Luis Obispo, California, USA.
Accurate and continuous blood glucose monitoring is essential for effective diabetes management, yet traditional finger pricking methods are often inconvenient and painful. To address this issue, photoplethysmography (PPG) presents a promising non-invasive alternative for estimating blood glucose levels. In this study, we propose an innovative 1-second signal segmentation method and evaluate the performance of three advanced deep learning models using a novel dataset to estimate blood glucose levels from PPG signals.
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