Systematic review using a spiral approach with machine learning.

With the accelerating growth of the academic corpus, doubling every 9 years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text screening is done intermittently with title/abstract screening, which we examine in three datasets by simulation under 360 conditions comprised of different algorithmic classifiers, feature extractions, prioritization rules, data types, and information provided (e.

First Insights Into INTUIT: An INteractive Tactile Physicalization for User Interpretation of RADAR Technology.

The changing climate and increasingly unpredictable sea ice conditions have created life-threatening risks for Inuit, the residents of the Arctic, who depend on the ice for transportation and livelihood. In response, they are turning to technology (e.g.

Mobile Augmented Reality for Adding Detailed Multimedia Content to Historical Physicalizations.

Combining augmented reality (AR) and physicalization offers both opportunities and challenges when representing detailed historical data. In this article, we describe a framework where mobile AR supplements views of 3-D prints of historical locations with interactive functionality and small visual details that the prints alone cannot display. Since seeing certain details requires bringing the camera close to the physical objects, the resulting camera frames may lack the visual information necessary to determine objects' positions and accurately superimpose the overlay.

RIAS: Repeated Invertible Averaging for Surface Multiresolution of Arbitrary Degree.

In this article, we introduce two local surface averaging operators with local inverses and use them to devise a method for surface multiresolution (subdivision and reverse subdivision) of arbitrary degree. Similar to previous works by Stam, Zorin, and Schröder that achieved forward subdivision only, our averaging operators involve only direct neighbours of a vertex, and can be configured to generalize B-Spline multiresolution to arbitrary topology surfaces. Our subdivision surfaces are hence able to exhibit C continuity at regular vertices (for arbitrary values of d) and appear to exhibit C continuity at extraordinary vertices.

Physical Visualization of Geospatial Datasets.

Geospatial datasets are too complex to easily visualize and understand on a computer screen. Combining digital fabrication with a discrete global grid system (DGGS) can produce physical models of the Earth for visualizing multiresolution geospatial datasets. This proposed approach includes a mechanism for attaching a set of 3D printed segments to produce a scalable model of the Earth.