BackgroundParathyroid carcinoma (PC) affects 0.1-0.3% of the general population and represents the rarest malignant neoplasms among endocrinological diseases, comprising less than 1%.The best therapeutic treatment and management methods are still debated in the literature.The aim of this study is to evaluate the management and surgical treatment of
Primary Aortoenteric Fistulae: What Every Surgeon Should Know About Its Diagnosis and Treatment
Aortoenteric fistula is a rare finding that is potentially fatal and is usually seen as a fistula between the aorta or Ravensburger an aortic graft and the third part of the duodenum.The type without the presence of an artificial graft is considered as primary and the other type as secondary.The patients usually present with the heralding symptom o
Molecular Characterization and Phylogenetic Analysis of Centipedegrass [Eremochloa ophiuroides (Munro) Hack.] Based on the Complete Chloroplast Genome Sequence
Centipedegrass (Eremochloa ophiuroides) is an important warm-season grass plant used as a turfgrass as well as pasture grass in tropical and subtropical regions, with wide application in land surface greening and soil conservation in South China and southern United States.In this study, the complete cp genome of E.ophiuroides was assembled using hi
Does myocardial viability detection improve using a novel combined 99mTc sestamibi infusion and low dose dobutamine infusion in high risk ischemic cardiomyopathy patients?
Objective: Early identification of viable myocardium in ischemic cardiomyopathy (ICM) patients is essential for early intervention and better clinical outcome.99mTechnetium (99mTc) sestamibi gated myocardial perfusion imaging (gMPI) is a well-established technique for myocardial viability evaluation.Detection of potentially viable segments is a pre
Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation
Abstract Background Biomedical named entity recognition is one of the most essential tasks in biomedical information extraction.Previous studies suffer from inadequate annotated datasets, especially the limited knowledge contained in them.Methods To remedy the above issue, we propose a novel Biomedical Named Entity Recognition (BioNER) framework wi