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- Creator:
- Zielinski, Ruth E, Kukula, Vida, Apetorgbor, Veronica, Awini, Elizabeth, Moyer, Cheryl, Badu-Gyan, Georgina, Williams, John, Lockhart, Nancy, and Lori, Jody R
- Description:
- This is a process evaluation of the RCT, Group Antenatal Care and Delivery project (GRAND) to identify and document patient, provider, and system barriers and facilitators to program implementation. Using both quantitative and qualitative methods, potential and actual influences on the quality and conduct of the program's operations, implementation, and service delivery were identified. Only the seven (7) sites randomized to the Group ANC (G-ANC) intervention were included for collection of process evaluation data since the evaluation was of G-ANC implementation. Data were collected from August 2019 to November 2020 and included both quantitative and qualitative data sources.
- Keyword:
- Group Antenatal Care, Ghana, and Process Evaluation
- Citation to related publication:
- Zielinski R, Kukula V, Apetorgbor V, Awini E, Moyer C, Badu-Gyan G, et al. (2023) “With group antenatal care, pregnant women know they are not alone”: The process evaluation of a group antenatal care intervention in Ghana. PLoS ONE 18(11): e0291855. https://doi.org/10.1371/journal.pone.0291855
- Discipline:
- International Studies and Health Sciences
-
- Creator:
- Chen, Kevin S, Noureldein, Mohamed H, McGinley, Lisa M, Hayes, John M, Rigan, Diana M, Kwentus, Jaquelin F, Mason, Shayna N, Mendelson, Faye E, Savelieff, Masha G, and Feldman, Eva L
- Description:
- Therapeutic mechanisms of human neural stem cells (hNSCs) were studied in an Alzheimer's disease mouse model (5XFAD). hNSCs restored spatial memory abilities in 5XFAD animals; however, amyloid beta levels were unchanged. Spatial transcriptomics was used to probe mechanisms of hNSCs. Focusing on a subset of plaque-induced genes, gene normalization was seen particularly in microglia, confirmed by PROGENy and Cell Chat analyses. and The spatial transcriptomics data from this publication have been deposited in NCBI Gene Expression Omnibus (16) and are accessible through GEO Series accession number GSE209583 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE209583 and enter token gzglogqkvjqrhmt). Additional supporting data are available from the corresponding author upon reasonable request.
- Citation to related publication:
- Chen KS, Noureldein MH, McGinley LM, Hayes JM, Rigan DM, Kwentus JF, Mason SN, Mendelson FE, Savelieffd MG, Feldman EL. Human neural stem cells restore spatial memory in a transgenic Alzheimer's disease mouse model by an immunomodulating mechanism. bioRxiv [Preprint]. 2023 Nov 4:2023.11.01.565161. doi: 10.1101/2023.11.01.565161. PMID: 37961246; PMCID: PMC10635057.
- Discipline:
- Health Sciences
-
- Creator:
- Wallace, Dylan M, Benyamini, Miri, Nason-Tomaszewski, Samuel R, Costello, Joseph T, Cubillos, Luis H, Mender, Matthew J, Temmar, Hisham, Willsey, Matthew S, Patil, Parag P, Chestek, Cynthia A, and Zacksenhouse, Miriam
- Description:
- This is data from Wallace, Benyamini et al., 2023, Journal of Neural Engineering. There are two sets of data included: 1. Neural features and error labels used to train error classifiers for each day used in the study 2. Trial data from an example experiment day (Monkey N, Day 6), with runs for offline calibration, online brain control, error monitoring, and error correction. The purpose of this study was to investigate the use of error signals in motor cortex to improve brain-machine interface (BMI) performance for control of two finger groups. All data is contained in .mat files, which can be opened using MATLAB or the Python SciPy library.
- Keyword:
- Brain-machine interface (BMI), Error detection, and Neural recording
- Citation to related publication:
- Wallace, D. M., Benyamini, M., Nason-Tomaszewski, S. R., Costello, J. T., Cubillos, L. H., Mender, M. J., Temmar, H., Willsey, M. S., Patil, P. G., Chestek, C. A., & Zacksenhouse, M. (2023). Error detection and correction in intracortical brain–machine interfaces controlling two finger groups. Journal of Neural Engineering, 20(4), 046037. https://doi.org/10.1088/1741-2552/acef95
- Discipline:
- Engineering, Science, and Health Sciences
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- Creator:
- Sun, Hu, Ren, Jiaen, Chen, Yang, Zou, Shasha, Chang, Yurui, Wang, Zihan, and Coster, Anthea
- Description:
- Our research focuses on providing a fully-imputed map of the worldwide total electron content with high resolution and spatial-temporal smoothness. We fill in the missing values of the original Madrigal TEC maps via estimating the latent feature of each latitude and local time along the 2-D grid and give initial guess of the missing regions based on pre-computed spherical harmonics map. The resulting TEC map has high imputation accuracy and the ease of reproducing. All data are in HDF5 format and are easy to read using the h5py package in Python. The TEC map is grouped in folders based on years and each file contains a single-day data of 5-min cadence. Each individual TEC map is of size 181*361. and WARNING: 2023-12-01 the data file for 2019-Jan-03 has badly fitted values. Please avoid using it. All other days' files are ready to use.
- Keyword:
- Total Electron Content, Matrix Completion, VISTA, Spherical Harmonics, and Spatial-Temporal Smoothing
- Citation to related publication:
- Sun, H., Hua, Z., Ren, J., Zou, S., Sun, Y., & Chen, Y. (2022). Matrix completion methods for the total electron content video reconstruction. The Annals of Applied Statistics, 16(3), 1333-1358., Sun, H., Chen, Y., Zou, S., Ren, J., Chang, Y., Wang, Z., & Coster, A. (2023). Complete Global Total Electron Content Map Dataset based on a Video Imputation Algorithm VISTA. Scientific Data, in press., and Zou, S., Ren, J., Wang, Z., Sun, H., & Chen, Y. (2021). Impact of storm-enhanced density (SED) on ion upflow fluxes during geomagnetic storm. Frontiers in Astronomy and Space Sciences, 8, 746429.
- Discipline:
- Science and Engineering
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- Creator:
- Klinich, Kathleen D, Lin, Brian, and Moore, Jamie L.
- Description:
- This dataset allows comparison of the different strategies implemented by vehicle manufacturers being used to communicate with drivers. Spreadsheets were created in MS Excel to summarize data for each vehicle, and include page numbers in each vehicle owner's manual for reference. The photos taken of each vehicle control panel allow detailed inspection of the displays and controls.
- Keyword:
- vehicle, controls, displays, and FMVSS 101
- Discipline:
- Engineering
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- Creator:
- Brian, Chen
- Description:
- The procedure followed while creating this data is summarized in Section II of Chen, Brian, et al. "Behavioral cloning in atari games using a combined variational autoencoder and predictor model." 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021. This data is not a result of a research but an intermediate product that is used in research. This dataset is generated to train a behavioral cloning framework from gameplay screen captures and keystrokes of an "expert" player. The RL agent that is trained using "RL Baselines Zoo package" acts as the "expert" player, whose decision making process we desire to learn. In addition to behavioral cloning experiments, this dataset is further used to demonstrate the efficacy of a novel incremental tensor decomposition algorithm on image-based data streams.
- Keyword:
- Imitation Learning, Behavioral Cloning, Reinforcement Learning, Machine Learning, and Gameplay Data
- Citation to related publication:
- Chen, Brian, et al. "Behavioral cloning in atari games using a combined variational autoencoder and predictor model." 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021., Aksoy, Doruk, et al. "An Incremental Tensor Train Decomposition Algorithm." arXiv preprint arXiv:2211.12487 (2022)., and Chen, Brian, et al. "Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning", forthcoming
- Discipline:
- Engineering and Science
-
- Creator:
- Heath, Jeffrey
- Description:
- Tebul Ure is a Dogon language spoken on the heights in a horseshoe valley between Bamba and Yanda on the eastern edge of the Dogon (Bandiagara) plateau in central Mali. A grammar is drafted but incomplete as of May 2018. Texts were transcribed from dictation in 2012 in the Tebul area, and others were recorded digitally in 2015 at a nearby town on the plateau. Six of the 2015 texts have been transcribed. The texts are included at the end of the grammar. I grant permission to other linguists to transcribe, translate, or analyse any texts that remain untranscribed beginning 2022.
- Keyword:
- Tebul Ure, Dogon, Mali, Audio, and Recording
- Citation to related publication:
- Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
- Discipline:
- Humanities
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- Creator:
- Heath, Jeffrey
- Description:
- Images of villages in Mali in which Tengou-Togo (Dogon family) is the primary language. Each file name contains important information about the photos, and are structured thus: LanguageFamily_Language_IdentificationNumber_GeographicCoordinate_Description_Date_InitialsOfThePhotographer
- Keyword:
- villages, Dogon, Tengou-Togo, and Mali
- Citation to related publication:
- Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
- Discipline:
- Humanities
-
- Creator:
- Hung, Adam, Enninful Adu, Challen, and Moore, Talia Y.
- Description:
- The CAD files can be opened by any CAD software. The code is in Arduino and Python. The URDF was generated using Solidworks.
- Keyword:
- robotics, omnidirectional, tripod, ballbot, gliding, and rolling
- Citation to related publication:
- Hung, A., Enninful Adu, C., Moore, T.Y. (in review), SKOOTR: A SKating, Omni-Oriented, Tripedal Robot for dynamically stable indoor navigation. IEEE ICRA
- Discipline:
- Engineering
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CT Data of UMMP VP 68409, Plesiadapis gingerichi, right maxilla with M1/ and roots of P4/ (holotype)
- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for Right maxilla with M1/ and roots of P4/ of Plesiadapis gingerichi (University of Michigan Museum of Paleontology catalog number UMMP 68409) 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, Plesiadapidae, UMMP, University of Michigan Museum of Paleontology, Paleocene, and cb9a3c69-55da-9032-5b3e-d02dc72013eb
- Discipline:
- Science