Portable and cost-effective gas sensors are gaining demand for a number of environmental, biomedical, and industrial applications, yet current devices are confined into specialized labs and cannot be extended to general use.Here, we demonstrate a part-per-billion-sensitive refractive index gas sensor on a photonic chip based on silicon purse nitrid
Health outcome after major trauma: what are we measuring?
Trauma is a global disease and is among the leading causes of disability in the world.The importance of outcome beyond trauma survival has been recognised over the last decade.Despite this there is no internationally agreed approach for assessment of health outcome and rehabilitation of trauma patients.To systematically examine to what extent outco
SentiBERT: Pre-training Language Model Combining Sentiment Information
Pre-training language models on large-scale unsupervised corpus are attracting the attention of researchers in the field of natural language processing.The existing model mainly extracts the semantic and structural features of the text in the pre-training stage.Aiming at sentiment Eyebrow Pencil task and complex emotional features, a pre-training m
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning
Abstract Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children.Accurate diagnosis relies on experts, but such individuals are scarce.This has led to increasing interest in the development of machine learning (ML) models that can integrate neuroimaging features from functional an