With the rapid development of the aviation industry, airport pavement is subjected to ever-increasing loads, posing urgent and higher demands on the mechanical performance and durability of pavement materials.This study develops a novel Ultra-High Performance Concrete (UHPC) with outstanding mechanical properties, good workability, low curing maint
IDEOLOGICAL AND STRATEGIC APPROPRIATION OF UPWARD FLOW OF SOCIAL MOBILITY IN PROFESSIONAL MOTIVATION: A DIMENSION OF WORKERS COOPTATION.
This biermann marzipan job tries to identify how the question of social mobility - especially the one of intragerational character - has been permeated and overvalued in speeches related to professional motivation representing the ideological and political position that dominant class defends.This fact has been a strategy used by professional motiv
Prognostic factors for the carbohydrate metabolism normalization in patients with type 2 diabetes mellitus and obesity using liraglutide 3.0 mg per day
Background.Glucagon-like peptide-1 receptor agonists (GLP-1 RA) are innovative drugs that effectively reduce glycemic levels and overweight in patients with type 2 diabetes mellitus (T2DM).However, the criteria for predicting the hypoglycemic effect of this group of drugs have not been practically defined.Aim.To assess the factors contributing to t
Including Parameter Uncertainty in an Intercomparison of Physically-Based Snow Models
Snow models that solve coupled energy and mass balances require model parameters to be set, just like their conceptual counterparts.Despite the physical basis of these models, appropriate choices of the parameter values entail a zippy paws adventure backpack rather high degree of uncertainty as some of them are not directly measurable, observations
Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features
ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection.The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFrom June 2009 to December 2019, 78 patients diagnosed with pathologically confirmed NFMAs, and who had