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Knowledge, awareness and attitudes among a group of Turkish dental students regarding molar incisor hypomineralization: a cross-sectional study.

BMC Oral Health

January 2025

Faculty of Dentistry, Department of Pediatric Dentistry, Pamukkale University, Üniversite Street No:11, Pamukkale, Denizli, 20160, Turkey.

Background: Molar incisor hypomineralization (MIH) is estimated to affect more than 800 million people worldwide. The clinical management of MIH can be challenging. For dentists, to provide effective and high-quality dental care to people affected by MIH, it is essential that they improve their awareness, ability to describe the clinical situation, and knowledge of treatment modalities.

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Predictors of self-reported hypertension among women of reproductive age in North Dakota.

BMC Public Health

January 2025

Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.

Background: Understanding the risk factors of hypertension among women of reproductive age (18-44 years) is important for guiding health programs aimed at reducing the burden of hypertensive disorders in this population. Therefore, the objective of this study was to investigate predictors of self-reported hypertension among women of reproductive age in North Dakota.

Methods: Behavioral Risk Factor Surveillance System data for the years 2017, 2019, and 2021 were obtained from North Dakota Department of Health and Human Services.

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Hornworts, one of the three bryophyte phyla, show some of the deepest divergences in extant land plants, with some families separated by more than 300 million years. Previous hornwort genomes represented only one genus, limiting the ability to infer evolution within hornworts and their early land plant ancestors. Here we report ten new chromosome-scale genomes representing all hornwort families and most of the genera.

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Electronic circular dichroism (ECD) spectra contain key information about molecular chirality by discriminating the absolute configurations of chiral molecules, which is crucial in asymmetric organic synthesis and the drug industry. However, existing predictive approaches lack the consideration of ECD spectra owing to the data scarcity and the limited interpretability to achieve trustworthy prediction. Here we establish a large-scale dataset for chiral molecular ECD spectra and propose ECDFormer for accurate and interpretable ECD spectrum prediction.

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Travel restrictions during the novel coronavirus, SARS-CoV-2 (COVID-19) public health emergency affected the U.S. Food and Drug Administration's (FDA) ability to conduct on-site bioavailability/bioequivalence (BA/BE) and Good Laboratory Practice (GLP) nonclinical inspections.

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