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Parallel Sorting Dataset V2023
No full textPerformance analysis research of parallel sorting algorithms performance. Files are Caliper performance profiles (https://software.llnl.gov/Caliper/), which can be read with the performance analysis tool Thicket (see example https://github.com/LLNL/thicket-tutorial). Files are used for machine learning classification of the parallel sorting algorithm class using the performance data.
See example of how to analyze data (https://github.com/LLNL/thicket-tutorial/blob/develop/notebooks/08A_composing_parallel_sorting_data.ipynb)
Impact of ghrelin on islet size in non-pregnant and pregnant female mice
No full textReducing ghrelin by ghrelin gene knockout (GKO), ghrelin-cell ablation, or high-fat diet feeding increases islet size and β-cell mass in male mice. Here, we determined if reducing ghrelin also enlarges islets in females, and if pregnancy-associated changes in islet size are related to reduced ghrelin. Among the most notable findings, islet, β-cell cross-sectional area, and β-cell mass were larger (P=0.057 for β-cell mass) in female GKO mice than WT littermates. Pregnancy was associated with reduced plasma ghrelin and increased plasma LEAP2 [a potent ghrelin receptor (GHSR) antagonist] in WT mice. Ghrelin deletion and pregnancy each increased islet cross-sectional area (by ~19.9-30.2% and ~34.9-46.4%, respectively), percentage of large islets (>25 µm2 x 103, by ~21.8-42% and ~21.2-41.2%, respectively), β-cell cross-sectional area (by ~19.7-30.3% and ~43.3-56.1%, respectively) and β-cell mass (by ~15.7-23.8% and ~65.2-76.8%, respectively). Neither islet cross-sectional area, β-cell cross-sectional area, nor β-cell mass correlated with plasma ghrelin, although all positively correlated with plasma LEAP2 (P=0.081 for islet cross-sectional area). In ad lib-fed mice, there was an effect of pregnancy, but not ghrelin deletion, to change (raise) plasma insulin without impacting blood glucose. Similarly, there was an effect of pregnancy, but not ghrelin deletion, to change (lower) blood glucose area under the curve during a glucose tolerance test. Thus, genetic deletion of ghrelin increases islet size and β-cell cross-sectional area in female mice, similar to reports in males. Yet, despite pregnancy-associated reductions in ghrelin, other factors appear to govern islet enlargement and changes to insulin sensitivity and glucose tolerance in the setting of pregnancy. In the case of islet size and β-cell mass, one of those factors may be the pregnancy-associated increase in LEAP2
SEARCH^Arctic CMG GT-2A Gravimeter Level 2 Geolocated Free Air Gravity Disturbance Transect Data
No full textGravity disturbances measured over Devon Ice Cap in June 2019, using the Transparent Earth Geophysics GT-2A gravimeter S/N 18 aboard the Basler BT-67 C-GJKB. The GT-2A is a three axis stabilized gravity meter using a vertically oriented precision accelerometer/gravity sensor. Data were processed using the GTGRAV proprietary software developed with the GT-2A. Aircraft dynamic accelerations were derived using PPP processing of carrier phase GPS data by NovAtel GrafNav commercial software. A low pass filter with cutoff of 1/150 Hz was implemented in the GTGRAV software for rejection of short wavelength noise.
The final result is the disturbance relative to the GRS-80 conventional series formula for the global gravity field corrected with the 1967 international free air correction formula, GRS80 normal gravity = 9.780327 * (1 + 0.00530 sin^2 (LAT)- 0.0000058 sin^2 (2 * LAT)) m/s^2 Free Air Correction = (0.308768-0.000440*sin^2(LAT) - 0.000000144*AC_ELEVATION)*AC_ELEVATION. No line leveling or other fitting has been applied to the data. The data were referenced to a gravity tie at Resolute Airport of 982847.8 mGal.
Three flights were flown from Resolute Airport as the SRH2 survey. Data were subsequently remapped onto flight lines from the 2018 SRH1 survey; time stamps in data refer to those earlier flights
Impact of AI in Education Processes
No full textWe did data analysis on a open dataset which contained responses regarding a survey about how useful students find AI in the educational process. We cleaned the data, preprocessed and then did analysis on it. We did an EDA (Exploratory Data Analysis) on the dataset and visualized the results and our findings. Then we interpreted the findings into our digital poster
Supporting animations of the full dynamic unsteady mixed-flow modeling in stormwater drainage systems using the Saint-Venant equations
No full textThirteen animations of model results. See PDF Sharior_Supporting...pdf for descriptio
SWAT Literature Database for peer-reviewed journal articles
No full textThe SWAT Literature Database for Peer-Reviewed Journal Articles is repository of citation data for studies published in reputable peer-reviewed journals that describe: (1) applications of SWAT or SWAT+, (2) applications of modified SWAT or SWAT+ models, (3) review studies focused either on SWAT or comparisons of SWAT with other models, (4) studies that describe data and/or component development directly relevant to SWAT users, (5) studies which describe key predecessor or related models, and (6) literature citation or bibliometric studies
EdTech Learning Impact 2019-20 K-12 Public Schools
No full textEdTech Learning Impact 2019-20 K-12 Public Schools and analysis for 2024 Datathon. The dataset is sourced with the title "Public-Use Data Files and Documentation (FRSS 110): 2019-20 Public School Use of Educational Technology for Instruction" and was provided by the IES National Center for Education Statistics. This dataset details technology's role in 800 US public schools from 2019 to 2020.
All data was collected from questionnaires provided to school administrators. The questionnaire asks respondents to assess various aspects of their school's educational technology, including: a) Usage of various educational technologies, b) Educator training on various technologies, c) Impact of technologies on student learning., d) Useability of educational technologies., f) Challenges presented from using, training, and incorporating technology
This analysis focuses on the usage of technology and its impact on student learning, hereby referred to as "technology" and "student learning outcomes" respectively.
Incrustospongia meandrica Is a Sponge (It has Spicules)
No full textA short discussion of the late Pennsylvanian encruster Incrustospongia meandrica and some SEM images of the spicules it contains