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Gajtan
User Collection
- Creator:
- Galaty, Michael
- Description:
- The following works contain the databases, field notebooks, unit and profile drawings, photographs, photo descriptions, radiocarbon dates, and geophysical survey data related to the Gajtan settlement excavation.
- Keyword:
- archaeology
- Discipline:
- Science and Humanities
5Works -
Radionuclide PET/CT, SPECT/CT, and Contours Collection
User Collection
- Creator:
- Van, Benjamin and Dewaraja, Yuni
- Description:
- Interest in quantitative imaging of Y-90 and Lu-177 is growing due to their increased use as minimally invasive treatments for primary and metastatic tumors such as HCC and NETs. Accurate quantification of the 3D activity distribution for voxel-level dosimetry requires SPECT/CT and PET/CT imaging. This collection provides research access to anonymized PET/CT and SPECT/CT scans along with the relevant lesion/organ contours taken from University of Michigan clinical research studies of selected patients undergoing radionuclide treatments. All patients signed an informed consent to participate in the research studies. See the readme in each dataset for information on use and citation of this data.
- Discipline:
- Health Sciences
1Works -
- Creator:
- Towne, Aaron
- Description:
- This database contains six datasets intended to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. The six datasets are: large-eddy-simulation data for a turbulent jet, direct-numerical-simulation data for a zero-pressure-gradient turbulent boundary layer, particle-image-velocimetry data for the same boundary layer, direct-numerical-simulation data for laminar stationary and pitching flat-plate airfoils, particle-image-velocimetry and force data for an airfoil encountering a gust, and large-eddy-simulation data for the separated, turbulent flow over an airfoil. All data are stored within hdf5 files, and each dataset additionally contains a README file and a Matlab script showing how the data can be read and manipulated. Since all datafiles use the hdf5 format, they can alternatively be read within virtually any other programing environment. An example.zip file included for each dataset provides an entry point for users. The database is an initiative of the AIAA Discussion Group on Reduced-Complexity Modeling and is detailed in the paper listed below. For each dataset, the paper introduces the flow setup and computational or experimental methods, describes the available data, and provide an example of how these data can be used for reduced-complexity modeling. All users should cite this paper as well as appropriate primary sources contained therein. Towne, A., Dawson, S., Brès, G. A., Lozano-Durán, A., Saxton-Fox, T., Parthasarthy, A., Biler, H., Jones, A. R., Yeh, C.-A., Patel, H., Taira, K. (2022). A database for reduced-complexity modeling of fluid flows. AIAA Journal 61(7): 2867-2892.
- Keyword:
- fluid dynamics, reduced-complexity models, and data-driven models
- Discipline:
- Engineering and Science
6Works -
Division of Reptiles and Amphibians
User Collection
- Creator:
- University of Michigan Museum of Zoology
- Description:
- The Division of Reptiles and Amphibians maintains a collection that is worldwide in scope. The research collections contain over 200,000 catalogued lots representing approximately 435,000 individual specimens.
- Discipline:
- Science
13Works -
- Creator:
- Ali, Hashim, Subramani, Surya , Sudhir, Shefali , Varahamurthy, Raksha , and Malik, Hafiz
- Description:
- Voice-cloning (VC) systems have seen an exceptional increase in the realism of synthesized speech in recent years. The high quality of synthesized speech and the availability of low-cost VC services have given rise to many potential abuses of this technology such as online smearing campaigns and dissemination of fabricated information etc. A number of detection methodologies have been proposed over the years that can detect voice spoofs with reasonably good accuracy. However, these methodologies are mostly evaluated on clean audio databases, such as Asvspoof 2019. This research aims to evaluate state-of-the-art (SOTA) Audio Spoof Detection approaches in the presence of laundering attacks. In that regard, a new laundering attack database, called ASVspoof Laundering Database, is created. This database is based on the ASVspoof 2019 LA eval database comprising a total of 1388.22 hours of audio recordings. Seven SOTA audio spoof detection approaches are evaluated on this laundered database. The results indicate that SOTA systems perform poorly in the presence of aggressive laundering attacks, especially reverberation and additive noise attacks. This suggests the need for robust audio spoof detection.
- Keyword:
- Audio Forensics, Audio Antispoofing, Audio Deepfakes, ASVSpoof, and Machine Learning
- Discipline:
- Engineering
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- Creator:
- Asthana, Vishwaratn, Monovoukas, Demetri, Kucharski, Kevin, Chopra, Zoey, Perkins, Sidney, and Bugga, Pallavi
- Description:
- It is difficult to model outcomes in patients post-ST Elevation Myocardial Infarction (STEMI), particularly onset of heart failure. The acute insult following a myocardial infarction and chronic degeneration seen in HF involve a similar process where a loss of cardiomyocytes and abnormal remodeling lead to pump failure. This process may alter the strength and direction of the heart’s net depolarization signal. The investigators hypothesized that changes over time in unique parameters extracted using vectorcardiography (VCG) have the potential to predict clinical outcomes in patients post-STEMI and could eventually be used as a non-invasive and cost-effective surveillance tool for characterizing the severity and progression of HF to guide evidence-based therapies.
- Keyword:
- Cardiology, ECG, VCG, STEMI, and Heart Failure
- Discipline:
- Health Sciences
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- Creator:
- Fu, Xun, Zhang, Bohao, Weber, Ceri J., Cooper, Kimberly L., Vasudevan, Ram, and Moore, Talia Y.
- Description:
- Tails used as inertial appendages induce body rotations of animals and robots---a phenomenon that is governed largely by the ratio of the body and tail moments of inertia. However, vertebrate tails have more degrees of freedom (e.g., number of joints, rotational axes) than most current theoretical models and robotic tails. To understand how morphology affects inertial appendage function, we developed an optimization-based approach that finds the maximally effective tail trajectory and measures error from a target trajectory. For tails of equal total length and mass, increasing the number of equal-length joints increased the complexity of maximally effective tail motions. When we optimized the relative lengths of tail bones while keeping the total tail length, mass, and number of joints the same, this optimization-based approach found that the lengths match the pattern found in the tail bones of mammals specialized for inertial maneuvering. In both experiments, adding joints enhanced the performance of the inertial appendage, but with diminishing returns, largely due to the total control effort constraint. This optimization-based simulation can compare the maximum performance of diverse inertial appendages that dynamically vary in moment of inertia in 3D space, predict inertial capabilities from skeletal data, and inform the design of robotic inertial appendages.
- Keyword:
- simulation, inertial maneuvering, caudal vertebrae, trajectory optimization, and reconfigurable appendages
- Citation to related publication:
- Xun Fu, Bohao Zhang, Ceri J. Weber, Kimberly L. Cooper, Ram Vasudevan, Talia Y. Moore. (in review) Jointed tails enhance control of three-dimensional body rotation.
- Discipline:
- Engineering and Science
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- Creator:
- Gottesman, Ari
- Description:
- This study analyzes correlations between magnetic field data from closely-spaced pairs of ground magnetometers to observe the spatial scale of ionospheric current signatures. Correlations were mainly calculated in 7.5 minute intervals for periods of multiple days. Distributions were taken from the collection of these 7.5 minute intervals to identify the amount of time where the magnetometers were observing "similar" or "different" ionospheric signatures. The raw magnetometer data was taken from two geomagnetic storms: one taking place on 7-8 September, 2017, and the other taking place on 23-24 March, 2023. These periods were selected due to the presence of both high and low geomagnetic activity. The final distributions calculated from this analysis are available in Correlation_Distributions.csv.
- Keyword:
- Space Weather Impacts, Geomagnetically Induced Currents, and GIC
- Discipline:
- Science
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- Creator:
- Kharbush, Jenan, Rahman, Raisha, and Pearson, Ann
- Description:
- Amino acids are the primary nitrogen-containing compounds in cells, participating in various metabolic processes such as protein synthesis and degradation into other nitrogenous compounds. Compound-specific nitrogen isotope analysis of amino acids in environmental samples can provide insight into nitrogen sources, cycling, and tropic modifications in ecosystems. However, we lack comprehensive understanding of N utilization patterns in microorganisms, which are the site of nitrogen assimilation in biological systems, due to the varied and complex mechanisms by which microbes can acquire and metabolize nitrogen-containing compounds. δ15N measurements for free intracellular amino acids and protein-bound amino acids for environmentally-relevant microbial groups may aid in untangling the biochemical processes involved in amino acid metabolism performed by these microbial communities. Here, we report intracellular amino acid δ15N values for R. palustris, a metabolically versatile anoxygenic phototrophic bacterium.
- Keyword:
- amino acids, nitrogen stable isotope analysis, compound-specific isotope analysis, and batch culture
- Discipline:
- Science
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- Creator:
- Zhang, Qiaoning
- Description:
- The widespread acceptance of healthcare robot at home is hindered by a lack of clarity regarding optimal design features, particularly among users with varying levels of knowledge and attitudes towards this emerging technology. To address this, this study applies the Kano model to systematically identify and prioritize the features of healthcare robots, factoring in older adults diverse robot-related knowledge and attitudes towards robots.
- Discipline:
- Social Sciences