243 research outputs found
Kayla Lackie
Historic Prints as Design Inspiration: Practice-Led Research
Kayla Lackie, Fashion and Textile Technology Faculty Mentor: Professor Arlesa Shephard, Fashion and Textile Technology
Kayla is a senior majoring in Textile Design and expects to graduate in Spring 2020. She is interested in historic textiles as inspiration for contemporary designs and has developed a collection of textile designs as a result of this project. After graduation, she plans to work as a textile designer for an established company, specializing in either swimwear or interior fabric design.
During her fellowship, Kayla applied practice-led methodology to research and create textile designs. Kayla and her mentor, Dr. Shephard, conducted research at several archives through the Western New York and New England areas. The research was documented and analyzed following each museum visit and design session. Kayla has developed a portfolio of textile designs based on these inspirations. This research was accepted for presentation at the annual symposium of the Costume Society of America, a professional organization dedicated to the study of dress history.https://digitalcommons.buffalostate.edu/srcc-sp20-usrfp/1010/thumbnail.jp
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
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
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
Supports and Barriers to Establishing and Sustaining Service Learning Partnerships to Facilitate Student Learning
Abstract
Date Presented 3/30/2017
This qualitative study investigated the supports and barriers to establishing and sustaining community-based service learning projects. Understanding the factors that affect use of service learning as an educational tool is essential to establishing best practices in occupational therapy education.
Primary Author and Speaker: Julie Watson
Additional Authors and Speakers: Kayla Collins, Inti Marazita, Prerna Poojary</jats:p
Historic Prints as Design Inspiration: Practice-Led Research
Kayla Lackie, Fashion and Textile Technology Faculty Mentor: Professor Arlesa Shephard, Fashion and Textile TechnologyPractice-led research is a structure for documenting and understanding the creative process. This research contributes to the gap in knowledge of creative design, which is in high demand in the textile design field. The purpose of this project is to better understand how practice-led research can be used by textile designers to draw inspiration from historic textiles when designing contemporary textile prints. For this research, historic textiles held in museum collections in the Western New York and New England areas were viewed, documented, and photographed. The researcher/designer’s experiences in viewing these textiles were captured through journaling following each museum visit. The analysis of the journals provides insight into the creative process, which has the potential to be instructive for other designers in creative fields of study. A literature review was conducted by means of research articles and books on historic prints, dyes used, and printing methods. Extensive journaling on prints seen throughout the research visits have been broken down and categorized. Further analyzation on thoughts behind the design process were documented from these journal entries, as well as sketches and paintings completed based on historic textile inspiration. The repeating and reoccurring themes pulled from these analyzed entries are reported to help better understand the design process in developing original printed textiles from historic inspiration. Themes resulting from analysis focused on motif inspiration, colors, and design ideas (i.e. techniques, colors, and patterns). The development of a portfolio of contemporary prints inspired by historic textiles is ongoing.https://digitalcommons.buffalostate.edu/srcc-sp20-busfashhosp/1003/thumbnail.jp
The Impact of Equine-Assisted Therapy on Communication Within Familial Relationships of Veterans With Posttraumatic Stress Disorder
Abstract
Date Presented 3/30/2017
This phenomenological study explored the impact of equine-assisted therapy (EAT) on family communication among veterans with posttraumatic stress disorder. Results showed EAT positively affected communication, problem solving, and interpersonal skills within the family.
Primary Author and Speaker: Hilary Vasher
Additional Authors and Speakers: Missy Delano, Ellen Herlache-Pretzer, Kayla Meyer, Kellie Stawowy</jats:p
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