Background This is a multicenter observational registry analysis of 1-year radiographic and
clinical outcomes following anterior cervical discectomy and fusion (ACDF) using …

This paper presents experimental results identifying the influence of chamber geometry on
the oil leakage behaviour of an aero engine bearing chamber. The varied geometrical …

The use of herbicides with glyphosate as an active ingredient, the so-called glyphosate-based
herbicides (GBH), has increased dramatically in recent years currently being the most …

CNNs perform remarkably well when the training and test distributions are iid, but unseen
image corruptions can cause a surprisingly large drop in performance. In various real …

Background The EuroQol EQ-5D is one of the most widely researched and applied patient-reported
outcome measures worldwide. The original EQ-5D-3L and more recent EQ-5D-5L …

Intelligent sampling from simulation becomes crucial due to storage and hardware constraints.
This research focuses on developing an intelligent acquisition strategy for synthetic data …

Deep neural networks often exhibit poor performance on data that is unlikely under the train-time
data distribution, for instance data affected by corruptions. Previous works demonstrate …

The pharmaceutical industry is increasingly joining chemoinformatics in the search for the
development of new drugs to be used in the treatment of diseases. These computational …

… FELIX) that can recognize pancreatic lesions from CT images without human input. Using
FELIX… But we were able to train FELIX to recognize them with only a few modifications to those …

Objective. To evaluate the utility of quantitative computerized pain drawings (CPDs) in a
sample of spine patients before and after surgery. Design. Analysis of changes in quantified …