Relationship Between Unit Characteristics and Fall Incidence: A Cross-Sectional Survey Using Administrative Data in Japan.

Background: Falls are the most frequent accident experienced by inpatients in hospitals. As falls affect patient outcomes, high fall risk factors should be studied to prevent falls and improve patient safety. However, the relationship between hospital unit characteristics and fall risk has never been assessed.

Synthesis and biological activity of photostable and persistent abscisic acid analogs.

The plant hormone abscisic acid (ABA) plays a critical role in various environmental stress responses and has long been expected to be used in agriculture. However, the practical use of ABA has been limited, mainly because of its photoinstability and rapid biodegradation. We previously developed photostable ABA agonists, BP2A and Me 1',4'--diol BP2A, in which the dienoic acid side chain of ABA was replaced with phenylacetic acid.

Japanese version of the Patient-rated elbow evaluation score correlates with physician-rated Japanese orthopaedic association-Japan elbow society elbow function score.

Background: The association between Patient-Rated Elbow Evaluation: Japanese version (PREE-J) and Japanese Orthopaedic Association-Japan Elbow Society Elbow Function score (JOA-JES score) is unclear. This study evaluated the association between PREE-J and JOA-JES scores.

Methods: The patients with elbow disorders were divided into two groups: Group A (conservative treatment, n = 97) and Group B (surgical treatment, n = 156).

Measurement of the median nerve strain within the carpal tunnel using a capacitance-type strain sensor: A cadaver study.

Background: Direct and quantitative measurement of median nerve strain within the carpal tunnel has been difficult because of the technical limitations associated with conventional devices. We used capacitive sensors (C-stretch), which are thin and flexible, to measure the median nerve strain within the carpal tunnel.

Methods: We used 12 fresh frozen upper extremity specimens.

Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds.

The automation of plant phenotyping using 3D imaging techniques is indispensable. However, conventional methods for reconstructing the leaf surface from 3D point clouds have a trade-off between the accuracy of leaf surface reconstruction and the method's robustness against noise and missing points. To mitigate this trade-off, we developed a leaf surface reconstruction method that reduces the effects of noise and missing points while maintaining surface reconstruction accuracy by capturing two components of the leaf (the shape and distortion of that shape) separately using leaf-specific properties.