Publications by authors named "Motoi Miura"
Introduction The global shift toward working from home due to the COVID-19 pandemic has led to concerns about increased sedentary behavior and its potential impact on work engagement, a critical factor for employee well-being and organizational productivity. This study aims to explore the association between sedentary time and work engagement among workers in Japan in the post-pandemic work environment. Methods This cross-sectional analysis utilized data from the Japan COVID-19 and Society Internet Survey (JACSIS), conducted from September to November 2023, after the COVID-19 pandemic period.
View Article and Find Full Text PDFIntroduction While prior research showed gender gaps in industry payments for medical professionals in the United States, there are limited data in Japan. So, this study seeks to investigate the potential gender gap in the receipt of pharmaceutical companies (PFCs) across all medical fields in Japan. Based on the results of previous studies, we developed a hypothesis that male doctors get more PFC than female doctors.
View Article and Find Full Text PDFArticle Synopsis
- Public hospitals are facing management reform needs due to rising social security costs from an aging population, prompting an investigation into how collaboration with neighboring medical institutions impacts management efficiency.
- Data envelopment analysis was utilized to evaluate the efficiency of 402 public hospitals, focusing on the referral rates as a measure of collaboration.
- Results revealed that hospitals with high collaboration had significantly better efficiency scores compared to those with low collaboration, and a higher ratio of subsidies to revenue correlated with lower management efficiency.
Article Synopsis
- Adequate bone volume is essential for successful dental implants and the recovery of oral function, with stem cells from the periosteum showing promise for bone tissue engineering due to easy isolation and rapid growth.
- Low-intensity pulsed ultrasound (LIPUS) has been effectively used in promoting bone healing in various cases, and this study focused on its impact on the differentiation of periosteum-derived cells (PDCs) in mice.
- Results showed that while LIPUS did not significantly affect PDC proliferation, it enhanced osteogenic differentiation as indicated by increased alkaline phosphatase activity and mineralized nodule formation, along with upregulated expression of key bone-related genes.
The use of convolutional neural networks (CNNs) has dramatically advanced our ability to recognize images with machine learning methods. We aimed to construct a CNN that could recognize the anatomical location of esophagogastroduodenoscopy (EGD) images in an appropriate manner. A CNN-based diagnostic program was constructed based on GoogLeNet architecture, and was trained with 27,335 EGD images that were categorized into four major anatomical locations (larynx, esophagus, stomach and duodenum) and three subsequent sub-classifications for stomach images (upper, middle, and lower regions).
View Article and Find Full Text PDFBackground And Aims: The role of artificial intelligence in the diagnosis of Helicobacter pylori gastritis based on endoscopic images has not been evaluated. We constructed a convolutional neural network (CNN), and evaluated its ability to diagnose H. pylori infection.
View Article and Find Full Text PDF