In healthcare research, data contains many types of categorical variables, such as race, country, zip code, from low to high number levels in each category. However, aforementioned features need encode into numeric forms before applying machine learning algorithms. Therefore, it is critical find a suitable encoding method for coefficient estimation and prediction. this study, we investigate thr...

Abstract We look for simulated star-forming linear features such as the one recently discovered by van Dokkum et al. in cosmological hydrodynamical simulation ASTRID . Among runaway black holes , none are able to produce clear wakes. Meanwhile, flyby encounters, typically involving a compact galaxy (with central hole) and duo of holes), reproduce remarkably well many key properties (length line...

Abstract: By presenting textual information within the space of corresponding images, the concept of DUAL-USE OF IMAGE SPACE (DUIS) eases the mental integration of textual and pictorial information. This paper applies the DUIS approach which was initially developed for area features to linear features. Moreover, we enhance the DUIS approach with new tools to navigate within embedded texts: The ...