King et al., (2022). Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning Models. Journal Open Source Software, 7(78), 4691, https://doi.org/10.21105/joss.04691

Somefun et al., (2021). NLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of COVID-19 pandemic process. Journal Open Source Software, 6(60), 3002, https://doi.org/10.21105/joss.03002

Cervantes Barron et al., (2022). Mat-dp: An open-source Python model for analysing material demand projections and their environmental implications, which result from building low-carbon systems.. Journal of Open Source Software, 7(76), 4460, https://doi.org/10.21105/joss.04460

Résumé. Using a high speed camera, we study the peeling dynamics of an adhesive tape under a constant load with a special focus on the so-called stick-slip regime of the peeling. It is the first time that the very fast motion of the peeling point is imaged. The speed of the camera, up to 16000 fps, allows us to observe and quantify the details of the peeling point motion during the stick and sl...

Chapman et al., (2021). CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework. Journal Open Source Software, 6(68), 3823, https://doi.org/10.21105/joss.03823

4 Astrophotonics comes of age: an OH-suppressing infrared fibre (Joss Bland-Hawthorn) 6 Southern vistas of the local universe: what's new in the 6dF Galaxy Survey (Heath Jones et al. Fig. 1: The top panel is the wavelength response of a new technology OH-suppressing fibre developed and patented by the AAO and industrial partner Redfern Optical Components (ROC). The middle panel shows how the re...