objectives the aim of this study was to investigate the quality of pre-hospital circulatory management in patients with multiple trauma. patients and methods this was a cross-sectional study conducted in 2013. the study population consisted of all patients with multiple trauma who had been transferred by emergency medical services (ems) to the central trauma department in kashan shahid beheshti...

BACKGROUND Given the global nursing shortage and investments to scale-up the workforce, this study evaluated trends in annual student nurse enrolment, pre-service attrition between enrolment and registration, and factors that influence nurse production in Kenya. METHODS This study used a mixed methods approach with data from the Regulatory Human Resources Information System (tracks initial st...

JVotes on the Medical Officers serving the Company prior to the formation of the 'medical services. In a former article entitled " JNoles on the History of the Bengal Medical Service," published in the Indian Medical Gazette for January and February 1901, [ gave a summary of the history of that service, from its foundation on the 1st January 1764 to date, with short notices of the three most fa...

Abstract Language model pre-training and the derived general-purpose methods have reshaped machine learning research. However, there remains considerable uncertainty regarding why improves performance of downstream tasks. This challenge is pronounced when using language in domains outside natural language. Here we investigate this problem by analysing how impose relational structure induced per...

background and aims: pain diagnosis is a frustrating effort especially due to the barriers in communication with patients in low level of consciousness therefore this study ,aimed at the evaluation of  utilizing bps by nurses for patients who are unable to express their pain because of their low level of consciousness, has been designed. materials and methods: this research is a semi-empirical ...

Recurrent neural networks with differentiable attention mechanisms have had success in generative and classification tasks. We show that the classification performance of such models can be enhanced by guiding a randomly initialized model to attend to salient regions of the input in early training iterations. We further show that, if explicit heuristics for guidance are unavailable, a model tha...

Pre-training is crucial for learning deep neural networks. Most of existing pre-training methods train simple models (e.g., restricted Boltzmann machines) and then stack them layer by layer to form the deep structure. This layerwise pre-training has found strong theoretical foundation and broad empirical support. However, it is not easy to employ such method to pre-train models without a clear ...