Real-time tracking of structural evolution in 2D MXenes using theory-enhanced machine learning.

In situ Electron Energy Loss Spectroscopy (EELS) combined with Transmission Electron Microscopy (TEM) has traditionally been pivotal for understanding how material processing choices affect local structure and composition. However, the ability to monitor and respond to ultrafast transient changes, now achievable with EELS and TEM, necessitates innovative analytical frameworks. Here, we introduce a machine learning (ML) framework tailored for the real-time assessment and characterization of in operando EELS Spectrum Images (EELS-SI).

The Status of Asthma in the United States.

Introduction: Asthma imposes a substantial health and economic burden on patients and their families and on the health care system. An assessment of the status of asthma in the US may lead to effective strategies to improve health and quality of life among people with asthma. The objective of our study was to assess the historical trends and current state of asthma illness and death among children and adults in the US.

Factors associated with emergency department visits for asthma resulting in hospital admission-United States, 2020.

Objective: To identify risk factors associated with hospital admission following an ED visit for asthma at the time of discharge among U.S. children and adults.

Adult asthma prevalence and trend analysis by urban-rural status across sociodemographic characteristics-United States, 2012-20.

Background: Asthma prevalence estimates among adults are limited for urban-rural classification across sociodemographic characteristics.

Objectives: This study examined current asthma prevalence and annual trends by 6-level urban-rural categories across sociodemographic characteristics among US adults.

Methods: Asthma prevalence for 2020 and annual trends for 2012-20 were estimated using Behavioral Risk Factor Surveillance System data.

Asthma disparities among U.S. children and adults.

Objective: To assess factors that are associated with asthma prevalence and asthma attacks among children (0-17 years) and adults (18 years and over) in the United States of America.

Methods: The 2019-2021 National Health Interview Survey data were analyzed using multivariable logistic regression models to determine associations between health outcomes (i.e.