introduction: due to the use of information technology in libraries and information centers, librarians are faced with many challenges in terms of their roles and needs; hence, they require continuous training to cope with these challenges. the aim of the present study was to determine the effectiveness of in-service training courses for librarians working in libraries at the isfahan university...

background: medical sciences universities have great mission to train efficient, professional and committed human resources to solve the health need of people. this research aimed to study the quality assessment of staff in-service training from viewpoints of employees ahvaz jundishapur university of medical sciences based on servqual model between 2011-2015. methods: this is a descriptive, cro...

Deep learning for medical imaging suffers from temporal and privacy-related restrictions on data availability. To still obtain viable models, continual aims to train in sequential order, as when is available. The main challenge that methods face prevent catastrophic forgetting, i.e., a decrease performance the encountered earlier. This issue makes continuous training of segmentation models appl...

Robots operating in the open world encounter various different environments that can substantially differ from each other. This domain gap also poses a challenge for Simultaneous Localization and Mapping (SLAM) being one of fundamental tasks navigation. In particular, learning-based SLAM methods are known to generalize poorly unseen hindering their general adoption. this work, we introduce nove...

Prehospital notification of the stroke team in alerting incoming acute patient has been practiced several countries worldwide. Currently this is not Malaysia. This study evaluates feasibility and impact to door review time when prehospital employed. Duration case control was between June 2018 January 2019. Control phase consists conventionally activating after in-hospital assessment by emergenc...

AIM Student tutorials are now firmly anchored in medical education. However, to date there have only been isolated efforts to establish structured teacher training for peer tutors in medicine. To close this gap, a centralized tutor training program for students, culminating in an academic certificate, was implemented at Heidelberg University Medical School. The program also counts within the sc...

In the field of earth observation (EO), continual learning (CL) algorithms have been proposed to deal with large datasets by decomposing them into several subsets and processing incrementally. The majority these assume that data are, first, coming from a single source, second, fully labeled. Real-world EO are instead characterized heterogeneity (e.g., aerial, satellite, or drone scenarios), for...

IMPORTANCE Strengthening workforce capacity to deliver essential surgical and anesthesia care has been identified as a strategy for addressing the unmet burden of morbidity and mortality in under-resourced countries. Sierra Leone is one of the poorest countries in the world and faces the challenge of stretching limited resources to provide appropriate health care for a population of 6 million. ...

Unlike humans, who are capable of continual learning over their lifetimes, artificial neural networks have long been known to suffer from a phenomenon known as catastrophic forgetting, whereby new learning can lead to abrupt erasure of previously acquired knowledge. Whereas in a neural network the parameters are typically modelled as scalar values, an individual synapse in the brain comprises a...