995 citations
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85 papers · 1 filter
Deriving Distributive Laws for Graded Linear Types
Jack Hughes, Michael Vollmer, Dominic Orchard
The recent notion of graded modal types provides a framework for extending type theories with fine-grained data-flow reasoning. The Granule language explores this idea in the conte…
Joint machine learning analysis of muon spectroscopy data from different materials
T. Tula, G. Möller, J. Quintanilla +6
Machine learning (ML) methods have proved to be a very successful tool in physical sciences, especially when applied to experimental data analysis. Artificial intelligence is parti…
It was hard to find the words: Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices
Sarah Turner, Jason R. C. Nurse, Shujun Li
This study considers how well an autoethnographic diary study helps as a method to explore why families might struggle in the application of strong and cohesive cyber security meas…
Transformations, symmetries and Noether theorems for differential-difference equations
Linyu Peng, Peter E Hydon
The first part of this paper develops a geometric setting for differential-difference equations that resolves an open question about the extent to which continuous symmetries can d…
ATLASGAL -- Evolutionary trends in high-mass star formation
J. S. Urquhart, M. R. A. Wells, T. Pillai +13
ATLASGAL is a 870-mircon dust survey of 420 square degrees of the inner Galactic plane and has been used to identify ~10 000 dense molecular clumps. Dedicated follow-up observation…
The SEDIGISM survey: a search for molecular outflows
A. Y. Yang, J. S. Urquhart, F. Wyrowski +19
Context. The formation processes of massive stars are still unclear but a picture is emerging involving accretion disks and molecular outflows in what appears to be a scaled-up ver…