Publications by authors named "J P Utz"
Hydrogels are natural/synthetic polymer-based materials with a large percentage of water content, usually above 80 %, and are suitable for many application fields such as wearable sensors, biomedicine, cosmetics, agriculture, etc. However, their performance is susceptible to environmental changes in temperature, relative humidity, and mechanical deformation due to their aqueous and soft nature. We investigate the mechanical response of both filled and unfilled alginate/gellan hydrogels using a combined axial-torsional rheometric approach with cylindrical samples of large length/diameter ratio under controlled temperature and relative humidity.
View Article and Find Full Text PDFArticle Synopsis
- Medical students are under a lot of stress and mental health issues, and this study looked into how self-determination theory (SDT) could boost their motivation and decrease stress during learning.
- The study involved a week-long psychiatry course where one group of students experienced a new teaching style focused on autonomy and positive reinforcement, compared to a traditional approach.
- Results showed that the innovative method increased intrinsic motivation and perceived autonomy while reducing stress, though it also led to lower exam scores due to the lack of critical feedback.
Background: Symptoms of obstructive sleep apnoea (OSA) overlap significantly with those of psychiatric disorders, making accurate diagnosis of OSA challenging within psychiatric settings. Diagnosing OSA in psychiatric patients is crucial because untreated OSA can exacerbate psychiatric symptoms, reduce treatment efficacy, and impair overall quality of life. This study aimed to determine the diagnostic accuracy of a readily accessible procedure for psychiatric patients in a real-world clinical setting by comparing the Somnocheck micro CARDIO (SCm) portable cardiorespiratory polygraphy device with the gold standard polysomnography (PSG).
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to create an automated system using convolutional neural networks (CNNs) to assess bone erosions, osteitis, and synovitis in hand MRIs of patients with inflammatory arthritis.
- The CNNs were trained and validated using MRI images from patients with rheumatoid and psoriatic arthritis, and their performance was compared to expert rheumatologists through metrics like receiver operating characteristic curve (AUC) and balanced accuracy.
- The results showed that the CNNs performed well, achieving high accuracy in detecting conditions related to arthritis, which could lead to quicker and more standardized assessments in clinical settings.
Article Synopsis
- Doctors and psychologists in psychiatric hospitals start teaching right away, even if they haven't learned how to teach properly.
- A survey was sent out to gather opinions from teachers at medical schools in German-speaking countries about the skills and training they need for teaching.
- Most respondents agreed that learning how to teach well is very important, showing strong interest in practical teaching methods like bedside teaching and improving communication skills.