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Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data

Benjamin Bach, Conglei Shi, Nicolas Heulot, Tara Madhyastha, Tom Grabowski, Pierre Dragicevic
2016 IEEE Transactions on Visualization and Computer Graphics  
Time curves are not meant to replace domain-specific temporal visualizations, as in many cases such visualizations may be required for a deeper examination of the data once interesting patterns have been  ...  Thus we need to develop more visual representations of temporal data that can be applied to a range of datasets.  ... 
doi:10.1109/tvcg.2015.2467851 pmid:26529718 fatcat:kac2jelzqnerpgikjzx273ufgi

Time-reversed Gamma-Ray Burst Light-curve Characteristics as Transitions between Subluminal and Superluminal Motion

Jon Hakkila, Robert Nemiroff
2019 Astrophysical Journal  
We introduce a simple model to explain the time-reversed and stretched residuals in gamma-ray burst (GRB) pulse light curves.  ...  These transitions create both a time-forward and a time-reversed set of light curve features through the process of Relativistic Image Doubling (RID).  ...  We express our gratitude to Tim Giblin, Rob Preece, Amy Lien, and Narayanan Kuthirummal for their many patient discussions and valuable contributions to this manuscript during its development.  ... 
doi:10.3847/1538-4357/ab3bdf fatcat:ezsj3f33mnezlhot3c6iouh2rq

Thermal Performance Curves, Phenotypic Plasticity, and the Time Scales of Temperature Exposure

P. M. Schulte, T. M. Healy, N. A. Fangue
2011 Integrative and Comparative Biology  
Acknowledgments Thanks to the participants in the Symposium: A Synthetic Approach to the Response of Organisms to Climate Change: The Role of Thermal Adaptation and two anonymous reviewers for their constructive  ...  the effects of changes in the shape of the curves at acute time scales.  ...  In principle, adaptive evolution or phenotypic plasticity can modify a TPC by altering its height (through a vertical shift of the curve), the position of the T opt (through a horizontal shift of the curve  ... 
doi:10.1093/icb/icr097 pmid:21841184 fatcat:vuhforbqx5aadgfm6wu7fotrkq

Functional modelling of microarray time series with covariate curves [article]

Maurice Berk, Giovanni Montana
2011 arXiv   pre-print
In this paper we have demonstrated a complete framework for the analysis of microarray time series data.  ...  The unique characteristics of microarry data lend themselves well to a functional data analysis approach and we have shown how this naturally extends to the inclusion of covariates such as age and sex.  ...  We also show how a functional PCA can be applied to the estimated mean curves in order to identify the principal modes of functional variation in the data set, and visually represent the entire set of  ... 
arXiv:1112.1869v1 fatcat:ddqmxnjmjjbz5fhil6gzzgbybq

How Temporal Symmetry Defines Morphology in BATSE Gamma-Ray Burst Pulse Light Curves [article]

Jon Hakkila
2021 arXiv   pre-print
around the time of the pulse peak.  ...  Surprisingly, a GRB pulse's light curve morphology can be accurately predicted by the pulse asymmetry and the stretching/compression needed to align the structural components preceding the temporal mirror  ...  We are grateful to Tim Giblin, Amy Lien, Rob Preece, and Bob Nemiroff for reviewing early drafts of this manuscript.  ... 
arXiv:2108.13937v1 fatcat:me7zpfpjqbeujlmhat63wxby6e

Time Matters

Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Tao Mei
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
The evolution of social media popularity exhibits rich temporality, i.e., popularities change over time at various levels of temporal granularity.  ...  As a result, our approach can leverage multiple levels of temporal characteristics and reduce the noise of data decomposition to improve modeling effectiveness.  ...  The first category builds popularity models to discover general patterns for temporal trends in popularity data [10, 11, 12, 13, 14, 15] .  ... 
doi:10.1145/2964284.2964335 dblp:conf/mm/WuCZM16 fatcat:lpn4gsjnfjdwnhkieenqfxzqcu

Time evolution of companies towards a stable scaling curve obtained from flow diagrams in 3-dimensional phase space

Yuh Kobayashi, Hideki Takayasu, Shlomo Havlin, Misako Takayasu
2019 New Journal of Physics  
Tracking the historical time evolution of companies, we first show that there exists a stable region that attracts most of the data points in the long time scale, although the company dynamics in the three-dimensional  ...  phase space looks random in a shorter time scale.  ...  ., Center for TDB Advanced Data Analysis and Modeling in Tokyo Institute of Technology for providing both the data and financial support.  ... 
doi:10.1088/1367-2630/ab0e55 fatcat:wvqme34btreglfbv72ma2g45te

Investigating light curve modulation via kernel smoothing

Maria Süveges, Richard I. Anderson
2018 Astronomy and Astrophysics  
time-dependent light curve parameters.  ...  Significant temporal variations in period are more frequently detected than those in amplitude.  ...  We thank the anonymous referee for valuable comments that have helped to improve the quality of this manuscript. R.I.A. acknowledges financial support from the Swiss National Science Foundation.  ... 
doi:10.1051/0004-6361/201628870 fatcat:hakbfkse4rcofdk52v5uykezaq

Real-time kinetics and high-resolution melt curves in single-molecule digital LAMP to differentiate and study specific and non-specific amplification

2020 Nucleic Acids Research  
We use real-time dLAMP with HRM to evaluate differences between polymerase enzymes, the impact of assay parameters (e.g. time, rate or florescence intensity), and the effect background human DNA.  ...  By differentiating true and false positives, HRM enables determination of the optimal assay and analysis parameters that leads to the lowest limit of detection (LOD) in a digital isothermal amplification  ...  Conflict of interest statement. The content of this manuscript is the subject of a patent application filed by Caltech.  ... 
doi:10.1093/nar/gkaa099 pmid:32103255 pmcid:PMC7144905 fatcat:teonwjmetvb5hc66iyn4miuwum

Dispersive and dissipative effects in quantum field theory in curved space-time to model condensed matter systems [article]

Xavier Busch
2014 arXiv   pre-print
The two main predictions of quantum field theory in curved space-time, namely Hawking radiation and cosmological pair production, have not been directly tested and involve ultra high energy configurations  ...  In this thesis, we first analyze the effects of dispersion and dissipation on both Hawking radiation and pair particle production. To get explicit results, we work in the context of de Sitter space.  ...  I thank them and every researcher with whom I had long discussions for the time they gave me. I also thank the jury of this PhD for the interest they show in my work.  ... 
arXiv:1411.1708v1 fatcat:cewicqvlffbnnopc6zoixxp6d4

Time-dependent approach for single trial classification of covert visuospatial attention

L Tonin, R Leeb, J del R Millán
2012 Journal of Neural Engineering  
In particular, we investigate the contribution of α sub-bands and the role of time intervals in carrying information about visual attention.  ...  On average, our time-dependent classification reaches 0.74 ± 0.03 of the area under the ROC (receiver operating characteristic) curve (AUC) value with an increase of 12.3% with respect to standard methods  ...  This paper only reflects the authors' views and funding agencies are not liable for any use that may be made of the information contained herein.  ... 
doi:10.1088/1741-2560/9/4/045011 pmid:22832204 fatcat:barlsp6bs5b4dkjz4y4g2xushy

Deep Carbon through Deep Time [chapter]

Robert M. Hazen, Yana Bromberg, Robert T. Downs, Ahmed Eleish, Paul G. Falkowski, Peter Fox, Donato Giovannelli, Daniel R. Hummer, Grethe Hystad, Joshua J. Golden, Andrew H. Knoll, Congrui Li (+10 others)
2019 Deep Carbon  
In each example, discoveries related to Earth's deep-time evolution have resulted from the analysis and visualization of large data resources fostered by the Deep Carbon Observatory (DCO). 620 https://  ...  In this chapter, we examine applications of data science in deep carbon research through three "use cases."  ...  Keck Foundation's Deep-Time Data Infrastructure project (dtdi. carnegiescience.edu), with additional support by the Alfred P.  ... 
doi:10.1017/9781108677950.020 fatcat:jjadlstf4zcxrb5ufwqmbfscwe

Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves [article]

Óscar Pimentel, Pablo A. Estévez, Francisco Förster
2022 arXiv   pre-print
Along with this scarcity, the processing of multi-band light-curves is a challenging task due to the highly irregular cadence, long time gaps, missing-values, low number of observations, etc.  ...  This allows us to increase the number of samples and the diversity of the cadence. The TimeModAttn model is first pre-trained using synthetic light-curves in a semi-supervised learning scheme.  ...  ACKNOWLEDGMENTS The authors acknowledge support from the National Agency of Research and Development's Millennium Science Initiative through grant IC12009, awarded to the Millennium Institute of Astrophysics  ... 
arXiv:2201.08482v2 fatcat:4ez2qu75yvfsxd7mdn4b4ewuw4

Heterochronic evolution reveals modular timing changes in budding yeast transcriptomes

Daniel F Simola, Chantal Francis, Paul D Sniegowski, Junhyong Kim
2010 Genome Biology  
Here, we examined transcriptome evolution in the dynamical context of the budding yeast cell-division cycle, to investigate the extent of divergence in expression timing and the regulatory architecture  ...  Analysis of shared patterns of timing evolution suggests the existence of seven dynamically-autonomous modules, each of which shows coherent evolutionary timing changes.  ...  The funding bodies had no role in study design; in collection, analysis, or interpretation of data; in the writing of the manuscript; or in the decision to submit the manuscript for publication.  ... 
doi:10.1186/gb-2010-11-10-r105 pmid:20969771 pmcid:PMC3218661 fatcat:ybbjgd76ejdvpmboldrnhz3vl4

Continuous Functional Magnetic Resonance Imaging Reveals Dynamic Nonlinearities of "Dose-Response" Curves for Finger Opposition

Gregory S. Berns, Allen W. Song, Hui Mao
1999 Journal of Neuroscience  
When the time courses of the task-related components were plotted against tapping frequency, nonlinear "doseresponse" curves were obtained for most subjects.  ...  To test these assumptions, we performed a continuous functional magnetic resonance imaging (MRI) experiment of finger opposition. Subjects performed a visually paced bimanual fingertapping task.  ...  Using finger tapping as a test of several new techniques, we have begun to identify the temporal evolution of spatial patterns of activity and how these correlate with at least one behavioral parameter  ... 
doi:10.1523/jneurosci.19-14-j0003.1999 pmid:10407059 fatcat:kdtaykxaxbg5pn53n7xnr5wbky
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