We carry out a set of exploratory numerical experiments based on ocean
bottom pressure and seismic data from a simulated linear array of SMART (Scientific Monitoring And Reliable Telecommunication) cable stations
off the trench in the Sumatra-Java region. We use a set of earthquake rupture as well as submarine landslide scenarios to calculate tsunami propagation via hydrodynamic simulations. We also investigate the contribution of SMART stations to improvement of earthquake early warning by calculating the arrival times of seismic phases.
Existing telecom cables can also contribute to the SMART network, if they are equipped with scientific sensors and repeaters.
In this study we use the MOST (Method of Splitting Tsunami; Titov et al, 2016) to simulate tsunamis, and the TauP toolkit (Crotwell et al, 1999) to calculate seismic arrival times.
This study was supported by grants from National Science Foundation
(PREEVENTS geosciences directorate No. 1663769) and NASA JPL (Award NNN13D462T).
- Crotwell, H.P., Owens, T.J. and Ritsema, J., 1999. The TauP Toolkit: Flexible seismic travel-time and ray-path utilities. Seismological Research Letters, 70(2), pp.154-160.
Titov, V., Kânoğlu, U. and Synolakis, C.E., 2016, Development of MOST for real-time tsunami forecasting. J Waterw Port Coast Ocean Eng 142:03116004-1–03116004-16
This study used three-dimensional, dynamic earthquake simulations to investigate how stress and friction levels on the Cascadia megathrust fault influence the final earthquake size
and coastal subsidence patterns from the 1700 A.D. earthquake.
Research Overview: This dataset is clinical consent forms, collected as part of Dr. Elizabeth Umberfield's dissertation research of at the University of Michigan. 134 consent forms are used in the analysis, 102 of which are shared here (not all are shared due to data protection agreements with participating sites). The research aimed to enable representation of clinical consent forms and their permissions within the Informed Consent Ontology. These efforts were supported by the Rackham Graduate Student Research Grant, and Dr. Umberfield's doctoral training was supported by the Robert Wood Johnson Foundation Future of Nursing Scholars Program.
Umberfield, E., Jiang, Y., Fenton, S., Stansbury, C., Ford, K., Crist, K., Kardia, S., Thomer, A., & Harris, M. R. (In Press). Lessons Learned for Identifying and Annotating Permissions in Clinical Consents. Applied Clinical Informatics. and Umberfield, E., Stansbury, C., Ford, K., Jiang, Y., Kardia, S. L. R., Thomer, A., & Harris, M. R. (Under Review). Evaluating and Extending the Informed Consent Ontology for Representing Permissions from the Clinical Domain.
These data were produced from the survival analysis of the pre-treatment metabolomics data generated from the Phase II clinical trial of L-carnitine treatment for septic shock (the RACE trial - see https://clinicaltrials.gov/ct2/show/NCT01665092). The results based on respective acetylcarnitine or valine concentration are presented (pdf). The csv files contain the at risk numbers from the Kaplan-Meier survival analysis. These findings described in our manuscript: Pharmacometabolomics Identifies Candidate Predictor Metabolites of an L-carnitine Treatment Mortality Benefit in Septic Shock. and All of the metabolomics data are available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org which is supported by NIH grant U2C-DK119886 and where it has been assigned Project ID (accession number ST001319). The data can be accessed directly via its Project DOIs: (DOI: http://dx.doi.org/10.21228/M8VX0Z).
Puskarich, M. A., Jennaro, T. S., Gillies, C. E., Evans, C. R., Karnovsky, A., McHugh, C. E., Flott, T. L., Jones, A. E., Stringer, K. A., & Investigators, O. behalf of the R. T. (2021). Pharmacometabolomics Identifies Candidate Predictor Metabolites of an L-carnitine Treatment Mortality Benefit in Septic Shock. (Preprint) https://doi.org/10.1101/2021.01.28.21250687
A new empirical model of the plasmapause location has been developed using density data from the plasma wave receiver onboard the CRRES spacecraft for nearly 1000 orbits. The “plasmapause” is identified here as the innermost sharp gradient in density (change of a factor of 5 in <0.5 L). Such a sharp gradient was observed on 73% of the CRRES inbound and outbound orbits that returned data. The plasmapause location is expressed as a linear function of Kp (previous 12 hour maximum) and local time. The model gives the linear best fit location of the plasmapause as well as the standard deviations of the model parameters.
Moldwin, M. B., Downward, L., Rassoul, H. K., Amin, R., and Anderson, R. R. (2002), A new model of the location of the plasmapause: CRRES results, J. Geophys. Res., 107( A11), 1339, doi:10.1029/2001JA009211 and O'Brien, T. P., and Moldwin, M. B. (2003), Empirical plasmapause models from magnetic indices, Geophys. Res. Lett., 30, 4, 1152. doi:10.1029/2002GL016007
This Ph.D. research focuses on two subject areas: experimental and numerical
model, which serves as two essential parts of a digital twin. A digital twin contains
models of real-world structures and fuses data from observations of the structures
and scale experiment to pull the models into better agreement with the real world.
Digital twin models have the promise of representing complex marine structures and
providing enhanced lifecycle performance and risk forecasts. Experimentally verifying
the updating approaches is necessary but rarely performed. Thus, the proposed
work is designing an experiment and developing a numerical model updated by the experimental data.
The dataset contains all the data collected in the experiment of a four-crack hexagon-
shaped specimen is presented, designed to mimic many of the properties of complex
degrading marine structural systems, such as crack interaction, component inter-
dependence, redundant load path, and non-binary failure.
"Evaluating Crack Growth Prediction in Structural Systems with Dynamic Bayesian Networks", submitted to Computers and Structure and Zhang, K., & Collette, M. (2021). Experimental investigation of structural system capacity with multiple fatigue cracks. Marine Structures, 78, 102943. https://doi.org/10.1016/j.marstruc.2021.102943
We collected hours of functional magnetic resonance imaging data from human subjects listening to natural stories. We developed a predictive model of the voxel-wise response and further applied it to thousands of new words to understand how the brain stores and connects different concepts. and This is a dataset for the paper:
Zhang, Y., Han, K., Worth, R., & Liu, Z. (2020). Connecting concepts in the brain by mapping cortical representations of semantic relations. Nature communications, 11(1), 1-13. https://doi.org/10.1038/s41467-020-15804-w. This project is also documented at https://osf.io/eq2ba/.
Zhang, Y., Han, K., Worth, R., & Liu, Z. (2020). Connecting concepts in the brain by mapping cortical representations of semantic relations. Nature communications, 11(1), 1-13. https://doi.org/10.1038/s41467-020-15804-w
This dataset includes an example cell packing (containing ~20,000 cells). This example cell packing is the same cell packing in Supplementary Figure 11.
The Corson_PBC_Square_Sweep_func.m is the main function for simulating lateral inhibition on this (and other) example packings.
Please see readme for which simulation parameters may be tuned within this lateral inhibition function.
Nunley, H., Nagashima, M., Martin, K., Gonzalez, A. L., Suzuki, S. C., Norton, D. A., Wong, R. O. L., Raymond, P. A., & Lubensky, D. K. (2020). Defect patterns on the curved surface of fish retinae suggest a mechanism of cone mosaic formation. PLOS Computational Biology, 16(12), e1008437. https://doi.org/10.1371/journal.pcbi.1008437 , Corson F, Couturier L, Rouault H, Mazouni K, Schweisguth F. Self-organized Notch dynamics generate stereotyped sensory organ patterns in Drosophila. Science. 2017 May 5;356(6337):eaai7407. doi: 10.1126/science.aai7407. Epub 2017 Apr 6. PMID: 28386027., and Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi: https://doi.org/10.1101/806679
The most important part of this deposit is the code necessary for simulating the anisotropic phase-field crystal on a cone geometry.
The second most important is the code for analyzing the simulation results, including the spatial distribution of Y-junctions in the simulated retinae.
Included are simulation results in which we systematically scan both the undercooling parameters and the strength of noise in the initial conditions.
Finally, we include an additional simulation example (as in Figure 7D).
Please see readme file for description of main (MATLAB) functions used for simulating and analyzing simulations.
Nunley, H., Nagashima, M., Martin, K., Gonzalez, A. L., Suzuki, S. C., Norton, D. A., Wong, R. O. L., Raymond, P. A., & Lubensky, D. K. (2020). Defect patterns on the curved surface of fish retinae suggest a mechanism of cone mosaic formation. PLOS Computational Biology, 16(12), e1008437. https://doi.org/10.1371/journal.pcbi.1008437 and Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky bioRxiv 806679; doi: https://doi.org/10.1101/806679