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- Creator:
- Song, Siliang and Zhang, Jianzhi
- Description:
- Fitness landscapes map genotypes to their corresponding fitness under given environments and allow explaining and predicting evolutionary trajectories. Of particular interest is the landscape ruggedness or the unevenness of the landscape, because it impacts many aspects of evolution such as the likelihood that a population is trapped in a local fitness peak. Although the ruggedness has been inferred from a number of empirically mapped fitness landscapes, it is unclear to what extent this inference is affected by fitness estimation error, which is inevitable in the experimental determination of fitness landscapes. Here we address this question by simulating fitness landscapes under various theoretical models, with or without fitness estimation error. We find that all eight examined measures of landscape ruggedness are overestimated due to imprecise fitness quantification, but different measures are affected to different degrees. We devise a method to use replicate fitness measures to correct this bias and show that our method performs well under realistic conditions. We conclude that previously reported fitness landscape ruggedness is likely upward biased owing to the negligence of fitness estimation error and advise that future fitness landscape mapping should include at least three biological replicates to permit an unbiased inference of the ruggedness.
- Keyword:
- adaptation, estimation error, evolution, NK model, Rough Mount Fuji model, and polynomial model
- Discipline:
- Science
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- Creator:
- Lester, Corey A, Al Kontar, Raed, and Chen, Qiyuan
- Description:
- The dataset contains images of pills inside a medication bottle from a top down view. The dataset was used to build an image classification model for predicting the national drug code (NDC) of the medication seen in the image. There are 13,955 images of 20 distinct NDC. The image data were used to create a machine learning algorithm which could predict the NDC.
- Keyword:
- Medication, Pills, and Image
- Discipline:
- Health Sciences
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- Creator:
- Townsend, Kirk F., Clark, Marin K., and Niemi, Nathan A.
- Description:
- These datasets support the findings of Townsend et al. (in review) investigating the timing of faulting relative to changes in the orientation of the North American-Pacific plate boundary. Coeval with development of an oblique plate boundary segment (i.e. the “Big Bend” of the San Andreas fault), active shortening is inferred to have initiated at ~5 Ma in the Western Transverse Ranges (WTR). However, new low-temperature thermochronometric transects yield Miocene to Pleistocene apatite (U-Th-Sm)/He cooling ages and partially reset zircon (U-Th)/He ages. Inverse thermal modelling indicate that reverse faulting initiated as early as 10 Ma, several million years prior to our current understanding of the timing of the Big Bend. New and existing thermochronometry data delineate the WTR as the locus of rapid post-Miocene exhumation, and demonstrate that similar exhumation is not present in the broader region surrounding the Big Bend. We posit that reverse faulting is localized in the WTR because of a weak underlying lithosphere and predates the more recent geometric anomaly of the restraining bend in the transform margin.
- Keyword:
- Reverse faults, Fault initiation, Fault propagation, Low-temperature thermochronometry, Western Transverse Ranges, and San Andreas Fault
- Citation to related publication:
- Townsend, K. F., Clark, M. K., & Niemi, N. A., in review, Reverse faulting within a continental plate boundary transform system. Tectonics
- Discipline:
- Science
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- Creator:
- Goodrich, Jaclyn M., Tang, Lu, Rodríguez-Carmona, Yanelli, Meijer, J L., Perng, Wei, Watkins, Deborah J., Meeker, John D. , Mercado-García, Adriana, Cantoral, Alejandra, Song, Peter X. , Téllez-Rojo, Martha M. , and Peterson, Karen E.
- Description:
- Phthalates are chemicals found in many products that humans are exposed to. Prenatal exposure to phthalates has been associated with adverse outcomes that are detected in childhood, adolescence, and even adulthood. In this study, we sought to identify subtle biological changes in the metabolome of children that were exposed to phthalates during gestation. We hypothesized that prenatal phthalate exposures would alter metabolic pathways related to adiposity and cardiometabolic health. The article is under review (citation to be added when paper is published). The data included here encompass all exposure, demographic, and untargeted metabolomics data needed for the analysis described in the manuscript.
- Keyword:
- Phthalates , Prenatal, and Metabolomics
- Citation to related publication:
- Goodrich J.M., Tang L.,Rodríguez-Carmona Y., Meijer J.L, Perng W., Watkins D.J., Meeker J.D., Mercado-García A., Cantoral A., Song P.X., Téllez-Rojo M.M., Peterson K.E. Trimester-specific phthalate exposures in pregnancy are associated with circulating metabolites in children. PLoS One. (Under revision – forthcoming.)
- Discipline:
- Other and Health Sciences
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- Creator:
- Esquivel, Amanda
- Description:
- The survey questions were organized in the following categories: - demographics: age, gender identity, race, ethnicity, and country of birth - education: degree type and date earned, STEM area - employment field, employer information, title, job duties - measures of productivity including research, grant, patents and site/workplace/lab access - work/life balance: responsibilities and duties Questions regarding productivity and work/life balance queried pre and post COVID experiences. Many questions solicited optional comments and the relevant ones are presented as a table.
- Discipline:
- Science
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- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for postcrania (cervical vertebrae, L+R humerus, R scapula, R coracoid, L femur) of Stylemys nebrascensis (University of Michigan Museum of Paleontology catalog number UMMP VP 9318) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Paleontology, Fossil, CT, Testudinidae, UMMP, University of Michigan Museum of Paleontology, Oligocene, CTEES, and c38728f5-6f38-d862-7bcf-9745e69db222
- Citation to related publication:
- University of Michigan Museum of Paleontology, CTEES. (2022). CT Data of UMMP VP 9318, Stylemys nebrascensis skull [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/74pd-kb09
- Discipline:
- Science
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- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for HOLOTYPE jaw frag. of Trilophosaurus buettneri (University of Michigan Museum of Paleontology catalog number UMMP_VP_2338) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Paleontology, Fossil, CT, Trilophosauridae, UMMP, University of Michigan Museum of Paleontology, L. Triassic, CTEES, and 80ea727c-798c-5382-2ae7-eff7f13b66af
- Citation to related publication:
- Case, E.C. (1928) Indications of a Cotylosaur and of a New Form of Fish from the Triassic Beds of Texas, with Remarks on the Shinarump Conglomerate. Contributions from the Museum of Paleontology, University of Michigan Vol. 3(1):1-14. https://hdl.handle.net/2027.42/48181
- Discipline:
- Science
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- Creator:
- Saylor, Kate M
- Description:
- The dataset includes all citations considered for inclusion in the literature review. Abstracts and keywords have been removed from the citation file. The citation file was exported in an .RIS format and can be imported with any citation manger such as EndNote, Zotero, Mendeley, RefWorks, etc. The literature search strategies are included for reproducibility and transparency purposes.
- Discipline:
- Health Sciences
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- Creator:
- Malhotra, Garima and Ridley, Aaron
- Description:
- This research aims to understand the influence of lower thermospheric atomic oxygen ([O]) and dynamics on the thermospheric Semi Annual Oscillation (SAO). [O] number densities between 95-100 km from WACCM-X are much closer to the observations from SABER instrument on TIMED satellite as compared to those from MSIS. We compare the phase and amplitude of SAO from different simulations with empirical models and observational datasets, and explore different mechanisms that can improve the SAO in IT models.
- Keyword:
- Semi Annual Oscillation, SAO, T-I SAO, Thermospheric Dynamics, Thermospheric Semi Annual Oscillation, WACCM-X coupling with GITM, Global Ionosphere Thermosphere Model, WACCM-X, Whole Atmosphere Model, Vertical coupling, Meridional Circulation, Annual Oscillation, Thermospheric Intra-Annual Variations, and Semiannual Oscillation
- Citation to related publication:
- Malhotra, G., Ridley, A., Jones, M., (2021) Impacts of Lower Thermospheric Atomic Oxygen and Dynamics on Thermospheric Semiannual Oscillation using GITM and WACCM-X, Journal of Geophysical Research: Space Physics
- Discipline:
- Science
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- Creator:
- Zongyu Li, Yuni K. Dewaraja, and Jeffrey A. Fessler
- Description:
- Current methods for patient-specific voxel-level dosimetry in radionuclide therapy suffer from a trade-off between accuracy and computational efficiency. Monte Carlo (MC) radiation transport algorithms are considered the gold standard for voxel-level dosimetry but can be computationally expensive, whereas faster dose voxel kernel (DVK) convolution can be sub-optimal in the presence of tissue heterogeneities. Furthermore, the accuracies of both these methods are limited by the spatial resolution of the reconstructed emission image. To overcome these limitations, this paper considers a single deep convolutional neural network (CNN) with residual learning (named DblurDoseNet) that learns to produce dose-rate maps while compensating for the limited resolution of SPECT images. We took the novel approach of constructing a convolutional neural network with residual learning to handle the accuracy-efficiency tradeoff while compensating for the limited resolution of SPECT images. We then test our CNN on clinically relevant phantoms and patients undergoing Lu-177 DOTATATE therapy in our clinic. Our network demonstrated superior results than Monte Carlo, the current gold standard for voxel dosimetry, but only takes a fraction of time. Thus, the DblurDoseNet has the potential for real-time patient-specific dosimetry in clinical treatment planning due to its demonstrated improvement in accuracy, resolution, noise and speed over the DVK/MC approaches. Matlab is needed to access the phantoms and Python (with Numpy package installed) is needed to access the DVKs.
- Keyword:
- Deep learning, Voxel-level dosimetry, Lu-177 therapy, SPECT resolution effects
- Citation to related publication:
- "DblurDoseNet: A Deep Residual Learning Network for Voxel Radionuclide Dosimetry Compensating for SPECT Imaging Resolution" by Zongyu Li, Jeffrey A. Fessler, Justin K. Mikell, Scott J. Wilderman and Yuni K. Dewaraja. Accepted by Medical Physics, 2021. DOI: 10.1002/mp.15397
- Discipline:
- Health Sciences