Rev Sci Instrum
January 2025
A novel solid electrolyte sensor with considerably improved response times is presented. The new so-called eFIPEX [etched flux (Φ) probe experiment] is based on the FIPEX [flux (Φ) probe experiment] sensor applied for the measurement of molecular and atomic oxygen concentrations. A main application is the measurement of atmospheric atomic oxygen aboard sounding rockets up to altitudes of 250 km.
View Article and Find Full Text PDFContext: Some clinical resemblance may exist between obesity, particularly abdominal obesity, and Cushing's syndrome. This has stimulated ongoing interest in the role of cortisol's secretion pattern, control and metabolism in obesity.
Goals: To investigate whether basal and stimulated levels of cortisol differ between healthy people with obesity and individuals with normal weight Design: Total, free, and salivary cortisol were tested at baseline state and after 1 g ACTH stimulation in 60 healthy subjects with obesity and 54 healthy lean controls.
Objective: The study purpose was twofold: (1) to develop the Children's Amputee Mobility Predictor and establish its content and social validity and (2) to determine its intra and inter-rater reliability.
Design: A reliability and validity study.
Setting: Pediatric rehabilitation hospital.
There are contradicting perspectives regarding autistics' ability to be creative. Some researchers cite autistics' underlying social communication and interaction differences, fixated interests, and inflexible patterns as fundamentally inhibiting creativity. However, many autistics refute this mindset and produce creative works as painters, sculptors, photographers, and graphic artists.
View Article and Find Full Text PDFBackground: HPTLC is a widely used and accepted technique for identification of botanicals. Current best practices involve subjective comparison of HPTLC-generated images between test samples and certified botanical reference materials based on specific bands.
Objective: This research was designed to evaluate the potential of cutting-edge machine vision-based machine learning techniques to automate identification of botanicals using native HPTLC image data.