Sleep pattern and posture recognition have become of great interest for a diverse range of clinical applications. Autonomous and constant monitoring of sleep postures provides useful information for reducing the health risk. Prevailing systems are designed based on electrocardiograms, cameras, and pressure sensors, which are not only expensive but also intrusive in nature, and uncomfortable to use. We propose an unobtrusive and affordable smart system based on an electronic mat called Sleep Mat-e for monitoring the sleep activity and sleep posture of individuals living in residential care facilities. The system uses a pressure sensing mat constructed using piezo-resistive material to be placed on a mattress. The sensors detect the distribution of the body pressure on the mat during sleep and we use convolution neural network (CNN) to analyze collected data and recognize different sleeping postures. The system is capable of recognizing the four major postures—face-up, face-down, right lateral, and left lateral. A real-time feedback mechanism is also provided through an accompanying smartphone application for keeping a diary of the posture and send alert to the user in case there is a danger of falling from bed. It also produces synopses of postures and activities over a given duration of time. Finally, we conducted experiments to evaluate the accuracy of the prototype, and the proposed system achieved a classification accuracy of around 90%.
Purpose To evaluate the correlation between students’ achieved grades in a preclinical fixed prosthodontics course and their performance in the same discipline's clinical courses. Materials and methods This study was conducted in 2019 on 76 students who passed all preclinical and clinical fixed prosthodontics courses. Their final examination grades in preclinical and clinical prosthodontics courses were compiled and made anonymous. The Statistical Package for the Social Sciences (SPSS Version 23) was used to analyze the data. Descriptive statistics and correlation coefficient were used to assess the relation between preclinical and clinical grades. Results A statistically significant positive correlation existed between the students’ preclinical and combined clinical final examination grades (r = 0.45, p < 0.001). In relation to sex, females showed a significantly higher correlation (r = 0.56, p = 0.001) compared to males (r = 0.25, p = 0.1). In addition, students’ clinical grade prediction from their preclinical performance was 20.5%. Conclusion These findings emphasize the importance of preclinical courses and suggest that maximizing preclinical years' efforts can reflect positively on students' competence in their future clinical practice.
Lab orientation is a vital part of learning for new students entering the university, as it provides the students with all the necessary and important information about the lab. The current orientation is manual, tedious, suffers from logistical constraints, lacks engagement, and provides no way to assess that outcomes have been achieved. This is also supported by the results of a student survey which revealed students’ dissatisfaction with current process of orientation. This study presents the design and development of a sample augmented reality mobile application, AR-LabOr, for the lab orientation that helps students in a quick and easy adaptation to the lab environment by familiarizing them with the lab equipment, staff, and safety rules in a fun and interactive manner. This application makes use of marker-less augmented reality technology and a blend of multimedia information such as sound, text, images, and videos that are superimposed on real-world contents. An experiment with 56 students showed that they found the novel method of orientation using the application more engaging than the traditional instructor-led method. Students also found the application to be more supportive, motivating, and that it helped them in better understanding the lab equipment.
Quantitative research was conducted to find out the effectiveness of the existing performance appraisal system (PAS). A survey research design was planned to determine the level of awareness of the teachers with the existing teacher appraisal system; moreover, the effectiveness was determined by the level of satisfaction or dissatisfaction of teachers with PAS and its probable effect on teaching practices. A random sampling technique was used to access the target population. A self-constructed questionnaire was distributed among 78 principals of public higher secondary schools and the reliability of the instrument was found to be .862. Step-wise regressions inform us dissatisfaction of teachers is associated with the transparency of the appraisers. Management support and motivation were not found to be significant predictors need for improvement. The results further highlighted that a lack of awareness about PAS negatively affects motivation to perform better. A lot of improvement is needed to make the appraisal process more effective.
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