Deep learning technologies, due to their advanced pattern extraction and recognition of high-dimensional data, have been widely adopted into multisensor-based fire detection systems.Since deep learning approaches can generate erroneous predictions due to incomplete training datasets, a retraining process over unseen observations is needed.However,
This paper presents a narrative review sd11i of anti-stigma programming using examples from different countries to understand and describe current best practices in the field.Results highlight the importance of targeting the behavioural outcomes of the stigmatization process (discrimination and social inequity), which is consistent with rights-base
The frequency of Anterior Cruciate Ligament Reconstructions (ACLR) has risen in recent years and is projected to continue increasing.Knee-joint infections consequent sd11i to this procedure, although rare, present a significant concern due to their potential severity.Hence, comprehending the progression of this complication and its detrimental effe