918 research outputs found
Lost Light, Kayla Shaw, Spring 2020
Kayla Shaw was the first �freshman� to enroll in SIS Seminar. She is a pre�med major from Birmingham, Alabama
The Forgotten, Kayla Shaw, Spring 2020
Kayla Shaw was the first �freshman� to enroll in SIS Seminar. She is a pre�med major from Birmingham, Alabama
John Oliveira String Competition 2021 - Semi-final and Final Rounds
Semi-finalists (Listed alphabetically) Kayla Bryan, violin Benjamin Kremer, violin Sebastian Orellana, violin Davron Ziyodjonov, cello
Final Rounds
Saturday, March 20, 2021 at 7:30 P.M. | Live-streamed from Amarnick-Goldstein Concert Hall Benjamin Kremer, violin Davron Ziyodjanov, cellohttps://spiral.lynn.edu/conservatory_john-oliveira/1006/thumbnail.jp
Episode 2: The African American Experience of World War I
The Department of History’s Kayla Campana sat down with Dr. John Morrow, Franklin Professor of History at the University of Georgia and author of several books including Only America Left Her Negro Troops Behind: The African American Military in the First World War. In the interview, Dr. Morrow talks with Kayla about the contributions of African American soldiers to World War I and he discusses how many Americans overlooked black soldiers’ efforts, and even feared that their achievements would disrupt segregated American society.https://stars.library.ucf.edu/knightshistorycast/1001/thumbnail.jp
Global Majority E-Journal, vol. 11, no. 1, June 2020
How Children’s Well-Being Reflects Government Choices and National Circumstances in the Democratic Republic of Congo and Rwanda - Kayla Benjamin; Struggling to Survive: Water Scarcity and Poor Sanitation in Colombia and Kenya - Morgan Bluma; Fighting for Equality: Analyzing Inequality in Rwanda and South Africa - Eleanor Dennehy; Closing the Gender Gap: Women’s Rights in Ethiopia and Mexico - Ain Wright</p
Microdissected tissue vs tissue slices: a comparative study of tumor explant models cultured on-chip and off-chip
RÉSUMÉ: Cet ensemble de données contient les résultats expérimentaux bruts utilisés pour l'article : "Microdissected Tissue vs Tissue Slices—A Comparative Study of Tumor Explant Models Cultured On-Chip and Off-Chip" par Dina Dorrigiv, Kayla Simeone, Laudine Communal, Jennifer Kendall-Dupont, Amélie St-Georges-Robillard, Benjamin Péant, Euridice Carmona, Anne-Marie Mes-Masson et Thomas Gervais. Cet ensemble de données contient les résultats expérimentaux utilisés pour générer les figures 2 et 3. ABSTRACT: This data repository contains the raw experimental results used for the article: "Microdissected Tissue vs Tissue Slices—A Comparative Study of Tumor Explant Models Cultured On-Chip and Off-Chip" by Dina Dorrigiv, Kayla Simeone, Laudine Communal, Jennifer Kendall-Dupont, Amélie St-Georges-Robillard, Benjamin Péant, Euridice Carmona, Anne-Marie Mes-Masson, and Thomas Gervais. This dataset contains the experimental results used to generate figures 2 and 3
KAYLA BURGGRAF Flute SENIOR RECITAL Assisted by Kyung-A Yoo, piano Saturday, October 19, 2013 5:30 p.m. Lillian H. Duncan Recital Hall
PROGRAM: Morceau de Concours / Gabriel Faure -- Allegretto form Suite de 3 morceaux, Op. 116 / Benjamin Godard -- Le Merle Noir / Olivier Messiaen -- Variations on "Trockne Blumen" D. 802 / Franz Schubert -- Partita in A Minor, BWV 1013 / Johannes Sebastian Bach -- Sonata for Flute and Piano, Op. 23 / Lowell LiebermannThis recital is given in partial fulfillment of the requirements for the degree Bachelor of Music
Absence of Aerosol Indirect Effect Dependence on Background Climate State in NCAR CESM2
This directory contains metadata utilized in [cication] Absence of Aerosol Indirect Effect Dependence on Background Climate State in CESM2.
Questions can be directed to the corresponding author at [email protected]
Structure of F (ATMOSPHERE-ONLY SIMULATION) file names:
[Variable].b.e21.F1850.f19.f19.mg17.001.mon.001-60.nc = 1850 SSTs with all forcings set at 1850 levels
[Variable].b.e21.F1850.f19.f19.mg17.001.aerosol2000.mon.001-60.nc = 1850 SSTs with all other forcings set at 1850 levels, and 2000 aerosol emissions
[Variable].b.e21.F2000.f19.f19.mg17.001.mon.001-60.nc = 2000 SSTs with all forcings set at 2000 levels
[Variable].b.e21.F2000.f19.f19.mg17.001.aerosol1850.mon.001-60.nc = 2000 SSTs with all other forcings set at 2000 levels, and 1850 aerosol emissions
[Variable].b.e21.F2000.f19.f19.mg17.001.aerosol1850.add4k.mon.001-60.nc = 2000+4K SSTs with all other forcings set at 2000 levels, and 1850 aerosol emissions
[Variable].b.e21.F2000.f19.f19.mg17.001.add4k.mon.001-60.nc = 2000+4K SSTs with all other forcings set at 2000 levels, and 2000 aerosol emissions
Files contain the monthly, 60-year time-series for a single variable. For analysis, the first 20 years are considered to be the model equilibrated period. Years 20-60 are used for the equilibrated signal.
Variables:
AODABSdn = 2D Aerosol absorption optical depth 550 nm, day night
AODVISdn = 2D Aerosol optical depth 550 nm, day night
AREL = 3D Average droplet effective radius
BURDENBCdn = 2D Black carbon aerosol burden, day night
BURDENDUSTdn = 2D Dust aerosol burden, day night
BURDENPOMdn = 2D POM aerosol burden, day night
BURDENSEASALTdn = 2D Seasalt aerosol burden, day night
BURDENSO4dn = 2D Sulfate aerosol burden, day night
BURDENSOAdn = 2D SOA aerosol burden, day night
CAPE = 2D Convectively available potential energy
CCN3 = 3D CCN concentration at S=0.1%
CDNUMC = 2D Vertically-integrated droplet concentration
CLDHGH = 2D Vertically-integrated high cloud
CLDLOW = 2D Vertically-integrated low cloud
CLDMED = 2D Vertically-integrated mid-level cloud
CLDTOT = 2D Vertically-integrated total cloud
CLOUD = 3D Cloud fraction
FLNT = 2D Net longwave flux at top of model
FLNTC = 2D Clearsky net longwave flux at top of model
FREQS = 3D Fractional occurrence of snow
FSDS = 2D Downwelling solar flux at surface
FSNS = 2D Net solar flux at surface
FSNT = 2D Net solar flux at top of model
FSNTC = 2D Clearsky net solar flux at top of model
FSUTOA = 2D Upwelling solar flux at top of atmosphere
ICEFRAC = 2D Fraction of sfc area covered by sea-ice
LHFLX = 2D Surface latent heat flux
LWCF = 2D Longwave cloud forcing
OMEGA = 3D Vertical velocity (pressure)
PRECC = 2D Convective precipitation rate (liq + ice)
PRECL = 2D Large-scale (stable) precipitation rate (liq + ice)
PRECSC = 2D Convective snow rate (water equivalent)
PRECSL = 2D Large-scale (stable) snow rate (water equivalent)
PS = 2D Surface pressure
Q = 3D Specific humidity
RELHUM = 3D Relative humidity
SHFLX = 2D Surface sensible heat flux
SSAVIS = 2D Aerosol single-scatter albedo, day only
SST = 2D Sea surface temperature
SWCF = 2D Shortwave cloud forcing
T = 3D Temperature
TGCLDCWP = 2D Total grid-box cloud water path (liquid and ice)
TGCLDIWP = 2D Total grid-box cloud ice water path
TGCLDLWP = 2D Total grid-box cloud liquid water path
TREFHT = 2D Reference height temperature
Z3 = 3D Geopotential Height (above sea level)
Background climate simulations with 2-dimensional variables are grouped by variable type and uploaded in a .tar file that contains all 4 background climate simulations for the given variable
Background climate simulations with 3-dimensional variables are uploaded individually due to size
When We Kneel, We Learn
When We Kneel, We Learn is an autobiographical work based on Kayla Dudley’s experience in a caregiving facility over the expanse of two years. The book touches on the relationships she cultivated with the elderly -- including those living with Alzheimer’s and dementia. The audience that the author hopes to reach are those that are interested in caring for the geriatric population, through the lens of Christianity. However, the lessons that are learned throughout the piece are so profoundly human, that they are accessible to anyone who wants to deepen their relationships and have a greater understanding of others. The memoir is shaped in such a way that it gives the reader insight into the personalities of our elders, including quotes and stories from individual persons, as well as ways that Kayla learned to approach caring for those enduring the effects of aging.Englis
Reassessing the New Jersey Farmland Assessment Act:: Barriers to Urban Farmer's Market Commercial Sales
This work was produced while the author was an undergraduate student in the Summer Research Institute of the Ronald E. McNair Post Baccalaureate Degree Achievement Program at Rutgers University
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