Development of a pressure ulcer stage determination system for community healthcare providers using a vision transformer deep learning model.

This study reports the first steps toward establishing a computer vision system to help caregivers of bedridden patients detect pressure ulcers (PUs) early. While many previous studies have focused on using convolutional neural networks (CNNs) to elevate stages, hardware constraints have presented challenges related to model training and overreliance on medical opinions. This study aimed to develop a tool to classify PU stages using a Vision Transformer model to process actual PU photos.

Colonization history of the carrion beetle Necrophila jakowlewi (Coleoptera: Silphidae) in Japan inferred from phylogeographic analysis.

Community compositions in continental islands have been strongly affected by the connection and separation of land via land bridges during the cycle of glacial and interglacial periods. The biota of the Japanese archipelago is a result of colonization from the adjacent mainland of East Asia via land bridges at the north and south that existed during the Pliocene and in glacial periods during the Pleistocene. The carrion beetle Necrophila jakowlewi (Coleoptera: Silphidae) is discontinuously distributed in inland regions of the East Asian mainland, the Korean Peninsula, the central area of Honshu, Japan, and several adjacent islands.

[The effect of an internet community on knowledge, self-efficacy and self care behavior in workers with hypertension].

Purpose: This study was aimed to evaluate the effect of an internet community on knowledge, self-efficacy, and self-care behavior in workers with hypertension.

Method: The research design used was a nonequivalent control group pre-test and post-test design. Sixty hypertensive workers participated in this study (Exp.