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Unveiling with Density Functional Theory the Optical Property Variations of Three Kinds of Graphene for Acetaminophen Sensor Design.
ACS Omega
January 2025
Instituto de Física, Universidad Nacional Autónoma de México, código postal 04510, Mexico City 01000, Mexico.
Understanding the interactions between molecules and sensing elements is crucial to improving sensors. We present one step toward getting closer to the breach between theory and empirical sensor development. Through density functional theory (DFT) calculations, we explored the changes in some optical properties of pristine graphene (G), graphene oxide (GO), and reduced graphene oxide (rGO) interacting with one molecule of acetaminophen (APAP).
View Article and Find Full Text PDFDecision-making under flood predictions: A risk perception study of coastal real estate.
Risk Anal
January 2025
School of the Environment, Coventry University, Coventry, UK.
Flood models, while representing our best knowledge of a natural phenomenon, are continually evolving. Their predictions, albeit undeniably important for flood risk management, contain considerable uncertainties related to model structure, parameterization, and input data. With multiple sources of flood predictions becoming increasingly available through online flood maps, the uncertainties in these predictions present considerable risks related to property devaluation.
View Article and Find Full Text PDFHigher hospital volume reduces early failure rates in single-stage revision TKR for infection: An analysis of the United Kingdom National Joint Registry and National Administrative Databases.
Knee Surg Sports Traumatol Arthrosc
January 2025
Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
Purpose: Revision knee replacement (RevKR) for infection is rare but increasing. It is hypothesised that higher hospital volume reduces adverse outcomes. The aim was to estimate the association of surgical unit volume with outcomes following first, single-stage RevKR for infection.
View Article and Find Full Text PDFAn inherently discrete-time model based on the mass action law for a heterogeneous population.
Math Biosci Eng
December 2024
Institute of of Information Technology, Warsaw University of Life Sciences - SGGW, Nowoursynowska 159 Street, building 34, 02-776 Warsaw, Poland.
In this paper, we introduce and analyze a discrete-time model of an epidemic spread in a heterogeneous population. As the heterogeneous population, we define a population in which we have two groups which differ in a risk of getting infected: a low-risk group and a high-risk group. We construct our model without discretization of its continuous-time counterpart, which is not a common approach.
View Article and Find Full Text PDFGetting the numbers right: Power, creativity and 'good' routine maternal and neonatal health data in Southern Tanzania.
Soc Sci Med
January 2025
Institute of Tropical Medicine Antwerp, Sint-Rochusstraat 43, 2000, Antwerp, Belgium.
What makes routine maternal and neonatal health data to be 'good quality'? That depends on whom you ask - the people collecting and reporting these data across health system levels have different priorities and face varying constraints. Data are constructed by people, about people, and they both reflect and impact human interactions. This study analyses the power dynamics shaping how routine health data are collected and reported in labour wards of two hospitals in Southern Tanzania.
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