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Title: Inventory of complete NASA TR-R series including online availability or lack thereof via NASA Technical Reports Server
Creator: Ahrens, Aric G.
Date: 2016-11-01

Title: Inventory of complete NASA TR-R series including online availability or lack thereof via NASA Technical Reports Server: Listing of reports by report number, indicating online availability and evidence of public domain status
Creator: Ahrens, Aric G.
Date: 2016-11-01

Title: Inventory of complete NASA TR-R series including online availability or lack thereof via NASA Technical Reports Server: Comma delimited source file for inventory
Creator: Ahrens, Aric G.
Date: 2016-11-01

Title: Inventory of complete NASA TR-R series including online availability or lack thereof via NASA Technical Reports Server: Explanation of fields included in inventory, and where appropriate, the NASA Technical Report Server fields to which they map
Creator: Ahrens, Aric G.
Date: 2016-11-01

Title: Migrating to ArchivesSpace with OpenRefine
Creator: Martin, Greer
Date: 2018-03
Description: Presentation for Midwest Archives Conference 2018 in Chicago, IL (March 2018). This presentation was part of a panel titled Systems in...
Show morePresentation for Midwest Archives Conference 2018 in Chicago, IL (March 2018). This presentation was part of a panel titled Systems in Transition: Navigating the Way to ArchivesSpace.
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Collection: Midwest Archives Conference 2018

Title: Hashtag data from "Agenda Building & Indexing: Does the U.S. Congress Direct New York Times Content through Twitter?"
Creator: Hemphill, Libby
Date: 2016, 2014
Description: From the paper: The conventional understanding of how elected officials affect the policy agenda is based in arguments that they use symbols...
Show moreFrom the paper: The conventional understanding of how elected officials affect the policy agenda is based in arguments that they use symbols and rhetoric to propagate the problem, and that this happens primarily through the traditional media. The arguments presented in this article are largely consistent with this but account for the function of social media. More specifically, and framed by indexing theory, we argue that social media enhances opportunities for policy agenda builders in the U.S. Congress to share information with journalists. Across the key policy issues of 2013, tests for congruence between politicians’ Twitter posts and New York Times articles confirm a connection, particularly for the policy issue areas of the economy, immigration, health care, and marginalized groups. Simultaneous discussion and debate between Democrats and Republicans about a particular policy issue area, however, negatively impacts how the New York Times indexes a particular issue.
Here we provide single Excel file of all the hashtags posted by members of Congress to Twitter during 2013. The file contains three columns: datetime, hashtag, and twitter_username. The datetime indicates when a tweet was posted. The hashtag indicates what hashtag a user posted at that time (tweets may contain multiple tags). Twitter_username is the Twitter handle of the account that posted a tweet with that hashtag at that time. We created a list of member of Congress Twitter accounts by looking up each member and checking with Govtrack.us and congress.gov information. Please cite our paper: Shapiro, M. A. and Hemphill, L. (in press) Agenda Building & Indexing: Does the U.S. Congress Direct New York Times Content through Twitter? Policy & Internet.
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Title: News Releases, 1939-1999 Collection Index
Creator: Illinois Institute of Technology. University Archives and Special Collections
Date: 2018
Description: Collection index for 036.01.07, News Releases collection, 1939-1999. Includes press release titles for all years.
Collection: News Releases collection, 1939-1999

Title: Saja Speaks Podcast Series: The Abrahamic Religions
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Saja Speaks Podcast Series
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Saja Speaks Podcast Series: ep3
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Saja Speaks Podcast Series: ep5
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Saja Speaks Podcast Series: ep2
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Saja Speaks Podcast Series: Ep1
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Saja Speaks Podcast Series: ep4
Creator: Hamayel, Saja
Date: 2017-05, 2017-05
Description: Saja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic...
Show moreSaja Speaks is a short 5-episode podcast series depicting my journey through trying to answer a single question: Did all three Abrahamic religions come with the same core message: God is One? Researching the question has led me in so many different directions and has taught me so much. I hope you'll enjoy my spiritual and eventful journey as well!
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Title: Descriptors and measurements of verbal violence in tweets: toxicity README
Creator: Guberman, Joshua, Hemphill, Libby
Date: 2016, 2016
Description: Sponsorship: National Science Foundation Award # 1525662
The purpose of this data collection was to test a scale for detecting verbal violence...
Show moreSponsorship: National Science Foundation Award # 1525662
The purpose of this data collection was to test a scale for detecting verbal violence in Tweets. Workers at Mechanical Turk were first asked to complete a qualification test and then invited to code additional Tweets according to our scale. The qualification test involved a detailed explanation of each item of the scale, a walkthrough of a tweet that we had coded according to all 14 scale-items, a practice exercise, and a test. In the practice exercise, potential coders attempted to code a tweet on their own using our scale. After submitting their ratings, they were shown our own ratings for the same tweet and explanations for each of our ratings. The test component consisted of another coding task, in which coders were asked to code another tweet that we had already coded ourselves. The workers who, on test, with our ratings of that tweet on at least 11 out of the 14 items “passed” the test, earning the qualification that allowed them to participate in future coding tasks. Variables in the data include the ID of the Tweet (so that you may find it on Twitter; Twitter Terms of Service prohibit us from sharing the Tweets), the ID number we assigned to the coder, the rating that coder provided for each of the 14 items on our scale, the gender and age of the coder, and any comments the coder provided. APA (6th Edition) CITATION: Guberman, J. and Hemphill, L. (2016) Descriptors and measurements of verbal violence in tweets [data file and codebook]. doi: 10.6084/m9.figshare.3179368.
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Title: Descriptors and measurements of verbal violence in tweets
Creator: Guberman, Joshua, Hemphill, Libby
Date: 2016, 2016
Description: Sponsorship: National Science Foundation Award # 1525662
The purpose of this data collection was to test a scale for detecting verbal violence...
Show moreSponsorship: National Science Foundation Award # 1525662
The purpose of this data collection was to test a scale for detecting verbal violence in Tweets. Workers at Mechanical Turk were first asked to complete a qualification test and then invited to code additional Tweets according to our scale. The qualification test involved a detailed explanation of each item of the scale, a walkthrough of a tweet that we had coded according to all 14 scale-items, a practice exercise, and a test. In the practice exercise, potential coders attempted to code a tweet on their own using our scale. After submitting their ratings, they were shown our own ratings for the same tweet and explanations for each of our ratings. The test component consisted of another coding task, in which coders were asked to code another tweet that we had already coded ourselves. The workers who, on test, with our ratings of that tweet on at least 11 out of the 14 items “passed” the test, earning the qualification that allowed them to participate in future coding tasks. Variables in the data include the ID of the Tweet (so that you may find it on Twitter; Twitter Terms of Service prohibit us from sharing the Tweets), the ID number we assigned to the coder, the rating that coder provided for each of the 14 items on our scale, the gender and age of the coder, and any comments the coder provided. APA (6th Edition) CITATION: Guberman, J. and Hemphill, L. (2016) Descriptors and measurements of verbal violence in tweets [data file and codebook]. doi: 10.6084/m9.figshare.3179368.
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Title: Descriptors and measurements of verbal violence in tweets: toxicity_first_steps
Creator: Guberman, Joshua, Hemphill, Libby
Date: 2016, 2016
Description: Sponsorship: National Science Foundation Award # 1525662
The purpose of this data collection was to test a scale for detecting verbal violence...
Show moreSponsorship: National Science Foundation Award # 1525662
The purpose of this data collection was to test a scale for detecting verbal violence in Tweets. Workers at Mechanical Turk were first asked to complete a qualification test and then invited to code additional Tweets according to our scale. The qualification test involved a detailed explanation of each item of the scale, a walkthrough of a tweet that we had coded according to all 14 scale-items, a practice exercise, and a test. In the practice exercise, potential coders attempted to code a tweet on their own using our scale. After submitting their ratings, they were shown our own ratings for the same tweet and explanations for each of our ratings. The test component consisted of another coding task, in which coders were asked to code another tweet that we had already coded ourselves. The workers who, on test, with our ratings of that tweet on at least 11 out of the 14 items “passed” the test, earning the qualification that allowed them to participate in future coding tasks. Variables in the data include the ID of the Tweet (so that you may find it on Twitter; Twitter Terms of Service prohibit us from sharing the Tweets), the ID number we assigned to the coder, the rating that coder provided for each of the 14 items on our scale, the gender and age of the coder, and any comments the coder provided. APA (6th Edition) CITATION: Guberman, J. and Hemphill, L. (2016) Descriptors and measurements of verbal violence in tweets [data file and codebook]. doi: 10.6084/m9.figshare.3179368.
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Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
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Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
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Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
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