Timelines are essential for visually communicating chronological narratives and reflecting on the personal and cultural significance of historical events. Existing visualization tools tend to support conventional linear representations, but fail to capture personal idiosyncratic conceptualizations of time. In response, we built TimeSplines, a visualization authoring tool that allows people to sketch multiple free-form temporal axes and populate them with heterogeneous, time-oriented data via incremental and lazy data binding. Authors can bend, compress, and expand temporal axes to emphasize or de-emphasize intervals based on their personal importance; they can also annotate the axes with text and figurative elements to convey contextual information. The results of two user studies show how people appropriate the concepts in TimeSplines to express their own conceptualization of time, while our curated gallery of images demonstrates the expressive potential of our approach.
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http://dx.doi.org/10.1109/TVCG.2023.3326520 | DOI Listing |
BMC Musculoskelet Disord
December 2024
Department of Physical Therapy, Applied Physical Therapy Lab, College of Future Convergence, Sahmyook University, Seoul, 01795, Republic of Korea.
Background: The main key to the 4th industrial era is robots, and wearable robots are incorporated into human healthcare. Samsung Electronics' Bot Fit is a hip joint-centered assistive robot that can induce walking posture and energetic walking exercises.
Methods: This study is a cross-section study.
Ecol Evol
December 2024
Program in Ecology and Evolutionary Biology, School of Biological Sciences University of Oklahoma Norman Oklahoma USA.
Most studies of local adaptation substitute the correlation between spatial distance and environmental heterogeneity for the temporal dynamics over which local adaptation evolves. The availability of detailed ecological and genomic information from lake sediments provides an opportunity to study local adaptation with unparalleled clarity from the temporal perspective. Inference can be further enhanced by including multiple lakes along ecological axes to further isolate the effects of ecological change in driving local adaptation.
View Article and Find Full Text PDFJ Mach Learn Res
April 2024
Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA.
Bayesian non-parametric methods based on Dirichlet process mixtures have seen tremendous success in various domains and are appealing in being able to borrow information by clustering samples that share identical parameters. However, such methods can face hurdles in heterogeneous settings where objects are expected to cluster only along a subset of axes or where clusters of samples share only a subset of identical parameters. We overcome such limitations by developing a novel class of product of Dirichlet process location-scale mixtures that enables independent clustering at multiple scales, which results in varying levels of information sharing across samples.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
December 2024
Institute of Evolutionary Biology, Spanish National Research Council (CSIC)-Universitat Pompeu Fabra, Barcelona 08003, Spain.
In , successful development relies on the precise coordination of both spatial and temporal regulatory axes. The temporal axis governs stage-specific identity and developmental transitions through a number of genes, collectively forming the . Among these, Ecdysone inducible protein 93F (E93) serves as the critical determinant for adult specification, but its mechanism of action remains unclear.
View Article and Find Full Text PDFFront Genet
November 2024
Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
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