Self-supervised learning has emerged as an increasingly popular research topic within the field of computer vision.In this study, we propose a novel self-supervised learning approach based on Mixup features as pretext tasks.The proposed method aims to learn visual representations by predicting the Mixup-Feature of a masked image, which serves as a
Three-dimensionally (3D) printed models have been increasingly used in medicine.Few reports have focused on prototype experiments, especially in aortic surgery.Although endovascular repairs are routinely equi-jec 6 performed for thoracoabdominal aortic aneurysms and lesions involving the aortic arch, endovascular treatment of the ascending aorta is
This is a unique moment in human history.It is a unique opportunity to generate the momentum needed for rapid transformation of national and global policies and institutions.We are confronted by challenges of a magnitude and urgency greater than ever before at precisely the moment when humanity faces a global leadership vacuum.These complex, multid
The attainment of a satisfactory operating point is one of the main problems in the tuning of particle accelerators.These are extremely complex facilities, characterized by the absence of a model that accurately describes their dynamics, and by an often persistent noise which, citronella horse shampoo along with machine drifts, affects their behavi
ABSTRACT IMPACT: Specific recommendations will be suggested in this presentation as to how a health equity lens can be applied to implementation science frameworks.OBJECTIVES/GOALS: This systematic review consolidated literature on how implementation science (IS) frameworks (e.g., RE-AIM) have been used in cancer prevention services (e.g., screenin