Objective To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex read more older general practice patients.Study design and setting Using individual participant data from four cluster-randomised trials conducted in the Netherlands and Ger
Unwarranted Exclusion of Intermediate Lineage A-B SARS-CoV-2 Genomes Is Inconsistent with the Two-Spillover Hypothesis of the Origin of COVID-19
Pekar et al.(2022) propose that SARS-CoV-2 was a zoonotic spillover that first infected humans in the Huanan Seafood Market in Wuhan, China.They propose that there were two separate spillovers of the closely related lineages A and lineage B in a short period of time.The two lineages are differentiated by two SNVs; hence, a single-SNV A-B intermedia
Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors
Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates.Deep Neural Network (DNN)-based detectors have shown remarkable results, but without further investigations their decision-making process is not transparent.In contrast to
Longitudinal analysis of the Five Sisters hot springs in Yellowstone National Park reveals a dynamic thermoalkaline environment
Abstract Research focused on microbial populations of thermoalkaline springs has been driven in a large part by the lure of discovering functional enzymes with industrial applications in high-pH and high temperature environments.While several studies have focused on understanding the fundamental ecology of these springs, the iphone 14 price san fra
Exploiting Data-Efficient Image Transformer-Based Transfer Learning for Valvular Heart Diseases Detection
Recent studies have shown the potential of the Data-Efficient Image Transformer (DeiT)-based transfer learning method in speech/image recognition and classification utilizing models pre-trained on image datasets.However, the use of DeiT models, especially those pre-trained on image datasets, has not yet been explored for Valvular Heart Disease (VHD