3,886 research outputs found
Neogeography and GIS, it's not one or the other
No full textNeogeography
Andrew Turner – Founder of Mapufacture, author of 'Introduction to Neogeography'GIS Day 2007 @ KU is sponsored by:
* KU Department of Geography
* State of Kansas Data Access and Support Center (DASC)
* KU Libraries GIS and Scholar Services
* KU Transportation Research Institute
* KU Institute for Policy & Social Research
* Western Air Maps, Inc.
* Coca-Cola
* Kansas Biological Survey
* KU Center for Remote Sensing of Ice Sheets (CReSIS)
* Kansas View Consortiu
Mapping the News: How Journalists use GIS
No full textAbstract is speaker biography.David Herzog is an assistant professor at the Missouri School of Journalism, where he teaches computer-assisted reporting and serves as the academic adviser to the National Institute for Computer-Assisted Reporting. Before joining the faculty in January 2002, he was an investigative reporter for the Providence Journal in Rhode Island and editor for computer-assisted reporting at The Morning Call in Allentown, Pa. He is author of the book "Mapping the News: Case Studies in GIS and Journalism" (ESRI Press).* KU Department of Geography
* Kansas Biological Survey
* State of Kansas Data Access and Support Center (DASC)
* KU Center for Remote Sensing of Ice Sheets (CReSIS)
* KU Transportation Research Institute
* KU Biodiversity Institute
* KU Institute for Policy & Social Research
* Kansas View Consortium
* Western Air Maps
* KU Libraries
* The Coca-Cola Compan
A two-parameter wind speed algorithm for Ku-band altimeters
No full textGlobally distributed crossovers of altimeter and scatterometer observations clearly demonstrate that ocean altimeter backscatter correlates with both the near-surface wind speed and the sea state. Satellite data from TOPEX/Poseidon and NSCAT are used to develop an empirical altimeter wind speed model that attenuates the sea-state signature and improves upon the present operational altimeter wind model. The inversion is defined using a multilayer perceptron neural network with altimeter-derived backscatter and significant wave height as inputs. Comparisons between this new model and past single input routines indicates that the rms wind error is reduced by 10%–15% in tandem with the lowering of wind error residuals dependent on the sea state. Both model intercomparison and validation of the new routine are detailed, including the use of large independent data compilations that include the SeaWinds and ERS scatterometers, ECMWF wind fields, and buoy measurements. The model provides consistent improvement against these varied sources with a wind-independent bias below 0.3 m s?1. The continuous form of the defined function, along with the global data used in its derivation, suggest an algorithm suitable for operational application to Ku-band altimeters. Further model improvement through wave height inclusion is limited due to an inherent multivaluedness between any single realization of the altimeter measurement pair [?o, HS] and observed near-surface winds. This ambiguity indicates that HS is a limited proxy for variable gravity wave properties that impact upon altimeter backscatter
Campus Open Access Funds: Experiences of the KU “One University” Open Access Author Fund
No full textINTRODUCTION: In the summer of 2012, librarians from the Lawrence and Kansas City campuses of the University of Kansas (KU) proposed the creation of a KU “One University” Open Access Fund (OA Author Fund) to support open access publishing for its faculty, students, and staff. KU is a major public research and teaching institution of 28,000 students and 2,600 faculty on five campuses (Lawrence, Kansas City, Overland Park, Wichita, and Salina) (http://ku.edu/about), and has been a leader in open access initiatives for many years. A working group of librarians came together to create and implement a pilot project to explore the administration and impact of an open access publishing fund on KU authors, and the fund was launched in October 2012.
DESCRIPTION OF PROJECT: This report documents the group’s experience in developing eligibility criteria and administering the OA Fund. Here we provide insight into our efforts implementing the project, funding results, and plans for continuation. We share the results of the first two years of the OA Author Fund pilot and the lessons learned about open access fund administration.
NEXT STEPS: At the close of the pilot in May 2014, the OA fund review team solicited feedback from a faculty advisory group regarding grant recipients, allocation of funds by discipline, and the application process. Based on our findings, we revised eligibility criteria to create a more equitable funding opportunity for the second pilot. The fund was re-launched using these new criteria in Fall of 2014
SparrKULee: A Speech-evoked Auditory Response Repository of the KU Leuven, containing EEG of 85 participants
No full textThe following author contributed equally to this dataset: Accou, Bernd; Bollens, Lies.
For easy access to the data, we recommend using the instruction/access via our hosting server.
Researchers investigating the neural mechanisms underlying speech perception often employ electroencephalography (EEG)
to record brain activity while participants listen to spoken language. The high temporal resolution of EEG enables the study of
neural responses to fast and dynamic speech signals. Previous studies have successfully extracted speech characteristics
from EEG data and, conversely, predicted EEG activity from speech features.
Machine learning techniques are generally employed to construct encoding and decoding models, which necessitate a
substantial amount of data.
We present SparrKULee: A Speech-evoked Auditory Repository of EEG, measured at KU Leuven,
comprising 64-channel EEG recordings from 85 young individuals with normal hearing, each of whom listened to 90-150
minutes of natural speech. This dataset is more extensive than any currently available dataset in terms of both the number of
participants and the amount of data per participant. It is suitable for training larger machine learning models. We evaluate the
dataset using linear and state-of-the-art non-linear models in a speech encoding/decoding and match/mismatch paradigm,
providing benchmark scores for future research.
Our github repository contains the necessary code to perform preprocessing steps needed to obtain the files in the derivatives folder, as well as extra code to show the technical validation of our dataset and tools to download the dataset more easily.
This link provides a download of the whole dataset in one big zip file ( > 100GB) .
For a download of the dataset using already zipped files, split up into smaller chunks, click here.
Due to privacy concerns, there are some restricted files in the dataset. Users requesting access should send a mail to [email protected] , stating what they want to use the data for. Access will be granted to non-commercial users, complying to the CC-BY-NC-4.0 licenc
Data for paper: Handling Communication Challenges at the ED Entry: A Linguistic Ethnographic Study in a Belgian Hospital
No full textThis is the dataset used for the paper Handling Communication Challenges at the ED Entry: A Linguistic Ethnographic Study in a Belgian Hospital. The dataset consists of transcriptions of 11 semi-structured interviews with healthcare professionals who work at the ED entry. These data aren't made publicly available because of their sensitive content and ethical regulations. Access can be requested through the author, after explicit approval of EC Research UZ/KU Leuven
Data for paper: Patient-Centered Communication in A Diverse General Practice Setting: A Multi-Perspective Case Study
No full textThis is the dataset used for the paper Patient-Centered Communication in A Diverse General Practice Setting: A Multi-Perspective Case Study. The dataset consists of the transcriptions of the two discussed cases in the paper and the open recall interviews with the treating doctor and the intercultural mediator. These data aren't made publicly available because of their sensitive content and ethical regulations. Acces can be requested through the author, after explicit approval of EC Research UZ/KU Leuven
sj-docx-3-hpq-10.1177_13591053221111021 – Supplemental material for The psychological impact on perioperative healthcare workers during Victoria’s second COVID-19 wave: A prospective longitudinal thematic analysis
No full textSupplemental material, sj-docx-3-hpq-10.1177_13591053221111021 for The psychological impact on perioperative healthcare workers during Victoria’s second COVID-19 wave: A prospective longitudinal thematic analysis by Michelle Ku, Irene Ng, Elizabeth Barson, Caroline Fisher, Reny Segal, Daryl Lindsay Williams, Roni Benjamin Krieser, Paul Mario Mezzavia, Keat Lee, Yinwei Chen, Teresa Sindoni and Toni Withiel in Journal of Health Psychology</p
sj-xlsx-1-hpq-10.1177_13591053221111021 – for The psychological impact on perioperative healthcare workers during Victoria’s second COVID-19 wave: A prospective longitudinal thematic analysis
No full textsj-xlsx-1-hpq-10.1177_13591053221111021 for The psychological impact on perioperative healthcare workers during Victoria’s second COVID-19 wave: A prospective longitudinal thematic analysis by Michelle Ku, Irene Ng, Elizabeth Barson, Caroline Fisher, Reny Segal, Daryl Lindsay Williams, Roni Benjamin Krieser, Paul Mario Mezzavia, Keat Lee, Yinwei Chen, Teresa Sindoni and Toni Withiel in Journal of Health Psychology</p
sj-docx-2-hpq-10.1177_13591053221111021 – Supplemental material for The psychological impact on perioperative healthcare workers during Victoria’s second COVID-19 wave: A prospective longitudinal thematic analysis
No full textSupplemental material, sj-docx-2-hpq-10.1177_13591053221111021 for The psychological impact on perioperative healthcare workers during Victoria’s second COVID-19 wave: A prospective longitudinal thematic analysis by Michelle Ku, Irene Ng, Elizabeth Barson, Caroline Fisher, Reny Segal, Daryl Lindsay Williams, Roni Benjamin Krieser, Paul Mario Mezzavia, Keat Lee, Yinwei Chen, Teresa Sindoni and Toni Withiel in Journal of Health Psychology</p
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