Epidemiology of pulmonary alveolar proteinosis: a descriptive study using a Japanese national administrative claims database.

https://bit.ly/3Z7uBkg.

Asymmetric self-organization from a symmetric film by phase separation.

Self-organization realizes various nanostructures to control material properties such as superconducting vortex pinning and thermal conductivity. However, the self-organization of nucleation and growth is constrained by the growth geometric symmetry. To realize highly controlled three-dimensional nanostructures by self-organization, nanostructure formation that breaks the growth geometric symmetry thermodynamically and kinetically, such as tilted or in-plane aligned nanostructures, is a challenging issue.

Application of machine learning for detecting high fall risk in middle aged workers using video-based analysis of the first three steps.

Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.

Methods: Train data (n=190, age 54.

Impact of sending vouchers for a community-based oral screening program on dental service usage promotion among adults: a difference-in-difference analysis.

Background: Community- and evidence-based approaches are essential for improving dental public health. We evaluated the effectiveness of sending vouchers in a community-based oral screening program to encourage dental visits and improve oral health among adults.

Methods: We analyzed the data from April 2014 to March 2019 obtained from administrative claims and screening program databases in Tsukuba City, Japan.