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.
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
Mobile obstetric emergency system (MORES) is a promising intervention to enhance communication between rural health facilities and hospitals and to improve maternal and newborn outcomes.
Lee, H., Dahn B., Sieka, J., Nyanplu, A., Reynolds, C., Edson, C., Lockhart, N., & Lori, J. The use of a mobile obstetric emergency system (MORES) to improve obstetric referrals in Bong County, Liberia: A pre/post study. International Journal of Gynecology & Obstetrics. (2023) http://doi.org/10.1002/ijgo.15175
Documentary videos of pottery making, notably a four-part documentary of one potter's work. Credits are at the end of videos. Additional documentaries from Mali may be added later.
Healthy full-term infants were enrolled in a longitudinal study designed to examine the development of infant eating behavior. Infant weight and length was measured, mothers completed questionnaires regarding infant eating behaviors, and infants were weighed and length measured at ages 1, 2, 4, 6 and 10 months. Trajectories of eating behaviors were identified using latent class growth modeling and bivariate analyses examined associations of infant eating behavior trajectory membership with infant and maternal characteristics. Cross-lagged analyses examined associations between BEBQ subscales and infant weight-for-length z-score.
Harlan McCaffery, Julie Zaituna, Sophie Busch, Niko Kaciroti, Alison L. Miller, Julie C. Lumeng, Katherine L. Rosenblum, Ashley Gearhardt, Megan H. Pesch, Developmental trajectories of eating behaviors and cross-lagged associations with weight across infancy, Appetite, 2023, 106978
Goals of this work quantify repeatability and reproducibility across multiple NIH/NCI Co-Clinical Imaging Research Resources Program (CIRP) preclinical MRI systems in performing diffusion measurement using a standardized acquisition protocol on a shared phantom containing temperature-controlled medium of known diffusivity. To achieve these goals, the CIRP Image Acquisition Data Processing (IADP) working group (WG) performed a round-robin study of an ice water-based DWI phantom using a detailed phantom preparation procedure and standardized DWI acquisition protocol, with both site- and core-lab generated ADC measurements derived from shared datasets.
Healthy full-term infants were enrolled in a longitudinal study designed to examine the development of infant eating behavior. Infant weight and length was measured, mothers completed questionnaires regarding infant eating behaviors, and infant capacity for regulation of energy intake was evaluated by comparing intake between two days: one with feedings given on demand and one with feedings offered hourly. The infant's ability to downregulate intake in response to more frequent feedings was calculated.
Reynolds, L. A., McCaffery, H., Appugliese, D., Kaciroti, N. A., Miller, A. L., Rosenblum, K. L., ... & Lumeng, J. C. (2023). Capacity for Regulation of Energy Intake in Infancy. JAMA pediatrics, 177(6), 590-598.
Healthy full-term infants were enrolled in a longitudinal study designed to examine the development of infant eating behavior. Infant weight and length was measured, mothers completed questionnaires regarding infant eating behaviors, and infant sucking behavior was quantified using the NFANT device during a typical feeding. The predictive value of the NFANT-generated sucking metrics for infant weight gain was evaluated.
Feldman, Keith, Katharine Asta, Ashley N. Gearhardt, Julie M. Sturza, Danielle Appugliese, Alison L. Miller, Katherine Rosenblum, Kai Ling Kong, Amanda K. Crandall, and Julie C. Lumeng. "Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months." Appetite (2023): 106525.
The IN were sampled during and after ICB and sequenced to identify gene expression signatures that correlated with sensitivity or resistance. We also analyzed gene expression at the IN prior to ICB treatment to identify markers predicting therapeutic response. Longitudinally interrogating an IN, to monitor changes associated with ICB response, presents a new opportunity to personalize care and investigate mechanisms underlying treatment resistance.
In this study, we took advantage of the randomized allocation of the US EPA's funding for school bus replacements and retrofits to causally assess the impacts of upgrading buses on student attendance through the EPA’s national School Bus Rebate Program. Specifically, we used classical intent-to-treat analyses for randomized controlled trials to compare the change in school district level attendance rates after vs before the 2012 through 2017 lotteries by funding selection status . We used overall district attendance rates since rates were not available for only school-bus riders.
Pedde, M., Szpiro, A., Hirth, R. et al. Randomized design evidence of the attendance benefits of the EPA School Bus Rebate Program. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01088-7