Background: Basic Life Support [BLS; including cardiopulmonary resuscitation (CPR)] is a part of medical skills utilized in case of an emergency medical care to save human lives. It is well established that the young students can become major healthcare supportive workforce for a community including the cases of emergency. Therefore, adequate knowledge of BLS is necessary for all the university attending students. This study evaluated the awareness of BLS knowledge and attitude towards BLS training among the students of Jazan University, Saudi Arabia. Methods: A self-administered survey questionnaire using cross-sectional design was employed. Results: Out of 360 participants, the majority were male students (84.2%). The participants have mediocre knowledge of BLS, and their mean score was 7.83 out of 14. The knowledge score, i.e., correct response of male and female students was almost similar. Not a single student answered all the questions correctly. About 28% participants had received BLS training previously during their study course and showed better BLS knowledge (mean score 10.41) in comparison with the other participants. In contrast with the students of health science related courses, the highest mean knowledge score (11.5) was opted by the students of emergency medical services, whereas the lowest score (6.58) was opted by the students of nursing background. Conclusions: Overall, a majority of the students of Jazan University did not have complete knowledge of BLS (CPR). The outcomes of this study will be helpful for education and healthcare service providers of the Saudi kingdom as a whole and for Jazan region.

IntroductionIt is strongly recommended that randomised controlled trials are preceded with an exploration of the needs of the target population and feasibility testing of the intervention. The present study protocol is set out to describe these steps in the development of a complex intervention.The past decades’ transition of care from inpatient to outpatient settings has increased the complexity of caregivers’ responsibilities, which they may not be prepared for. There is a need to support informal caregivers (ICs) to prepare them for caregiving and decrease the caregiver burden. The main aim of this study is to describe the development of an internet-based intervention (Carer eSupport) to improve ICs’ ability to support individuals with head and neck cancer and to describe the testing of the feasibility and acceptability of Carer eSupport.Methods and analysisThis is a multicentre study involving the ear, nose and throat clinics and the oncology and radiotherapy clinics at three university hospitals. The study protocol comprises two phases, development and feasibility testing, using the Medical Research Council framework for developing a complex intervention. Carer eSupport will be based on the results from focus group discussions with ICs and healthcare professionals (planned for n=6–8 in respective groups) and scientific evidence, the Social Cognitive Theory and the Theory of Acceptance and Use of Technology. The feasibility testing will include 30 ICs who will have access to Carer eSupport for 1 month. The feasibility testing will be evaluated with a mixed-method design.Ethics and disseminationAll procedures have been approved by the Ethics Committee at Uppsala University (Dnr: 2020-04650). Informed consent will be obtained before enrolment of patients, their ICs and healthcare staff. The feasibility testing is registered at Clinicaltrials.gov (Identifier: NCT05028452). Findings will be disseminated in peer-reviewed journal publications.Trial registration numberClinicaltrials.gov (Identifier: NCT05028452

Secure and reliable sensing plays the key role for cognitive tracking i.e., activity identification and cognitive monitoring of every individual. Over the last years there has been an increasing interest from both academia and industry in cognitive authentication also known as biometric recognition. These are an effect of individuals’ biological and physiological traits. Among various traditional biometric and physiological features, we include cognitive/brainwaves via electroencephalogram (EEG) which function as a unique performance indicator due to its reliable, flexible, and unique trait resulting in why it is hard for an un-authorized entity(ies) to breach the boundaries by stealing or mimicking them. Conventional security and privacy techniques in the medical domain are not the potential candidates to simultaneously provide both security and energy efficiency. Therefore, state-of-the art biometrics methods (i.e., machine learning, deep learning, etc.) their applications with novel solutions are investigated and recommended. The experimental setup considers EEG data analysis and interpretation of BCI. The key purpose of this setup is to reduce the number of electrodes and hence the computational power of the Random Forest (RF) classifier while testing EEG data. The performance of the random forest classifier was based on EEG datasets for 20 subjects. We found that the total number of occurred events revealed 96.1% precision in terms of chosen events.

Context. The characteristic variability of cool giants and supergiants is attributed to a combination of stellar pulsation and large-scale convective flows. Full 3D radiation-hydrodynamical modelling is an essential tool for understanding the nature of these dynamical processes. The parameter space in our 3D model grid of red giants has expanded in recent years. These models can provide many insights on the nature and properties of the pulsations, including the interplay between convection and pulsations. Aims. We treat 3D dynamical models of asymptotic giant branch (AGB) stars and red supergiants (with current masses 1 M ≤ M ≤ 12 M ) similar to observational data. We aim to explore the relation between stellar parameters and the properties of the self-excited pulsations. Methods. Output from global 'star-in-a-box' models computed with the CO5BOLD radiation-hydrodynamics code were analysed, particularly in regards to the pulsation properties, to find possible correlations with input and emergent stellar parameters. The fast Fourier transform was applied to spherically averaged mass flows to identify possible radial pulsation periods beneath the photosphere of the modelled stars. Stellar parameters were investigated for correlations with the extracted pulsation periods. Results. We find that the pulsation periods varied with the stellar parameters in good agreement with the current expectations. The pulsation periods follow Ritter's period-mean density relation well and our AGB models agree with period-luminosity relations derived from observations. A mass estimate formula was derived from the 3D models, relating the stellar mass to the fundamental mode pulsation period and the stellar radius. Conclusions. While the non-linearity of the interplay between the self-excited pulsations and the self-consistent convection complicates analyses, the resulting correlations are in good agreement with respect to current theoretical and observational understandings.