Live-cell labelling techniques to visualize proteins with minimal disturbance are important; however, the currently available methods are limited in their labelling efficiency, specificity and cell permeability. We describe high-throughput protein labelling facilitated by minimalistic probes delivered to mammalian cells by microfluidic cell squeezing. High-affinity and target-specific tracing o...

A total labelling of a graph over an abelian group is a bijection from the set of vertices and edges onto the set of group elements. A labelling can be used to define a weight for each edge and for each vertex of finite degree. A labelling is edge-magic if all the edges have the same weight and vertex-magic if all the vertices are finite degree and have the same weight. We exhibit magic labelli...

The study reports geometric features that can be generalized to catalyst compositions beyond d-band metals. By employing these into an active learning workflow, required prediction accuracies are achieved without expensive an-initio features. workflow itself enables effective data labelling, but feeding it a forecasting model further limits the number of labelling.

OBJECTIVES To compare prevalence and types of dispensing errors and pharmacists' labelling enhancements, for prescriptions transmitted electronically versus paper prescriptions. DESIGN Naturalistic stepped wedge study. SETTING 15 English community pharmacies. INTERVENTION Electronic transmission of prescriptions between prescriber and pharmacy. MAIN OUTCOME MEASURES Prevalence of labell...

Abstract Our pilot project aims to develop a set of text collections and annotation tools facilitate the creation datasets (corpora) for development AI classification models. These models can automatically assess text’s reading difficulty on levels described by Common European Framework Reference (CEFR). The ability accurately consistently readability level texts is crucial authors (language) t...