Index Catalog // Scholar@UC

NATO and the European Union’s Response to Peacebuilding

Type:: Dataset
Description/Abstract:: The NATO and the EU Peacebuilding Missions Dataset is created to use fuzzy seta Qualitative Comparative Analysis (fsQCA) analysis as a method of researching how NATO and the EU missions’ outcomes are influences by organizational assets and decision-making in both organizations. Outcome pertaining to these two sets of missions are intended to measure various aspects of organizational efficacy. There are two groups of variables – condition variables and outcome variables. In the next few sections, we will explain how these two groups of variables were generated, what existing sources and datasets were used and how mission indicators were generated. See attached research note for more detailed information. Condition Sets: Description By and large, conditions sets that have been generated measure organizational assets for these NATO and EU missions, as well as patterns in their decision-making process. Two critical organizational assets used for both sets of missions are their annual operational budget and their annual deployed personnel. The dataset contains two control variables measuring operational legitimacy – number of contributing nations and number of UN resolutions passed in relevance to the situation in the area of deployment for the duration of the EU and NATO Mission. Operational Duration – duration of the operation (in months). For ongoing missions and operations, we have used December 31, 2019 as the end date. All data reflect occurrences no later than December 31, 2019. Type of Operation – based on their mandate, operations are classified as civilian (coded as 0), military (coded as 1) and hybrid (i.e. with military and civilian components, coded as 0.5). Annual Operational Budget – total annual mission budget in USD. Sources include SIPRI yearbook and peace operations database. In cases of missing data from the SIPRI yearbook, mission factsheets and original data from the mission have been used. This latter technique applies for the following missions: AMUK, AVSEC, BAM1, BAM2, CAP1, CAP2, MAM1, NAVF1, NAVF2, TMC1, EUAMI. If data is reported in EUR, average exchange rate for the duration of the mission has been used to convert the cost. Data has been adjusted to reflect operational budget over a 12-month period. Average Annual Mission Personnel – it reflects the average total number of personnel/ staff supporting the NATO or EU peacebuilding mission per annum. Sources have been collected from SIPRI yearbook based on reportings for actual deployments on the ground. In cases when no data has been reported I the SIPRI yearbook/ peace operations dataset, mission factsheets and original data from the mission have been used. The data has been averaged and adjusted for a 12-month period. Days to Launch – describes the number of days needed from the time a decision has been made by the IO top decision-making body (the European Council and NAC) to launch the mission to the time that the mission is officially declared “operational.” If no declaration that the mission is “fully operational” exists, landmark indicators that the mission is fully operational include: ceremony on the ground marking the beginning of the mission, the appointment of mission commander or first recoded operational presence involving activity on the ground. Sources include official EU and NATO documents announcing the decision to create the peacebuilding operation as well as official documents, press releases and reports in reliable media outlets (including New Agencies) documenting an event that would indicate the mission is “fully operational.” Number of Contributing Nations –highest reported number of contributing nations for the duration of the NATO and the EU peacebuilding operation. UN Security Council Resolutions – total number of UN Security Council (UNSG) resolutions relevant for the area of conflict adopted for the duration of the NATO and the EU mission. In cases when UNSC resolutions are relevant for multiple NATO and EU peacebuilding missions those have been reported to all relevant missions. Outcome Sets: Description Outcome sets include various indicators created to measure operational efficacy. They include annual events contributing toward peace, conflict and the mission’s functioning, annual fatalities and annual deaths among mission personnel, as well as annual difference in fatalities. A more detailed description of these indicators is included below: Annual Peace Events – this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have contributed for the peace process in the conflict area where NATO and EU mission have been deployed. Examples of peace events include steps taken to contribute to the peace process (e.g. creation of buffer zone, cession of hostilities, meeting intended to cease fire or set up the peace process, political events related to or contributing toward the peace process and successful conclusion of a peace agreement. It may also include a decision of an international body (e.g. UN Security Council, UN General Assembly or UN Secretary General, as well as a decision made by the NATO and the EU D-M bodies that contributes toward the peace process in the areas where the mission operates. For ongoing missions is December 31, 2017 the last date when annual peace events are recoded. Annual Conflict Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have increased the conflict and the conflict potential in the area where NATO and EU mission have been deployed. Instances include resumption of hostilities among warring parties, occurrence of attacks, clashes, eruption of violence, the killing of civilians, military and peacemaking personnel and other violence-related events that contribute toward instability in the mission’s area. For ongoing missions is December 31, 2017 the last date when annual conflict events are recoded. Annual Mission-related Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that measures events related to functioning of the mission – the decision to launch, the actual launch, implementation, transfer of authority and/ or mandate, transformation and termination of the mission. It also includes events that reflect decisions made by the contributing nations or sponsoring IOs intended to impact mission’s performances (e.g. decisions related to funding, control and command, transformation of mission mandate and rules and other similar events). For ongoing missions is December 31, 2017 the last date when annual mission-related events are recoded. Average Annual Fatalities – this indicator reports how many average annual civilian deaths have been recorded for the duration of the mission. The data is drawn from the Armed Conflict Dataset (ACD) managed by the London-based International Institute for Strategic Studies ( https://acd.iiss.org/member/datatools.aspx). Average Annual Mission Casualties – average annual number of deaths among peacebuilding personnel as reported in SIPRI yearbook/ peace operations database for the duration of the mission. Authors have used discretion to determine the accuracy in cases when there is discrepancy of reported data. Fatalities Annual Difference – an indicator of differenced annual data of civilian casualties on the ground for the duration of the mission. The indicator is calculated as follows: Differenced Fatalities = Ʃ (CasualtiesY1-Y2 … Casualties Yn-Y(n-1))/ Duration of the mission (in years). It is intended to capture improvement of situation on the ground as a result of presence of the peacebuilding effort. Condition Sets: Calibration and Rationale Annual Operational Budget – mission budget reflects resources USD 5 million or less indicate fully out while USD 100 million or more would indicate fully in. A budget of USD 30 should be the watershed borderline of “nether in, not out.” [5-100 million] Average Annual Mission Personnel – this indicator draws distinction between larger well-resourced missions and smaller missions with limited assets. By and large, missions with 20 personnel or less are fully out, while those with 20,000 or more are fully in. The borderline (net hither in, not out) is 130 people. Days to Launch – the speed with which the decision is taken indicates how decision-making operated in the case of this mission. D-M that took 5 days or less should be fully out (in, change direction) while D-M 150 days or more should be fully in (out, change direction). 30 days (1 month) should be the neither in, nor out border. Number of Contributing Nations –control indicator that demotes how high number of contributing nations contribute toward greater legitimacy (30 or more countries marks fully in), while 5 or fewer nations marks fully out. The “nether fully in, nor fully out” is at 15 nations. UN Security Council Resolutions – total number of UNSC resolutions can vary, fully out is at 0 resolutions while fully in at 50 or more. Since moist of the missions are shorter, Nether fully in, not fully out would be at 8 UNSC resolutions. [Inductive] Operational Duration – 1 year (12 months) denotes fully out (i.e. short-term mission) while 10 year 120 months denotes fully in; nether in not out would be for missions lasting 5 years (60 months). In other words, a decade is too long, a year is to short, five years is in the middle. Outcome Variables: Calibration and Rationale Annual Peace Events – this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 3 events per annum is fully in. 0.8 event is nether in not out. Annual Conflict Events -- this variable measures the occurrence of conflict-related events – 0 events per annum is fully out; 4 events per annum is fully in. 1 event is nether in not out. Annual Mission-related Events -- this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 1 events per annum is fully in. 0.3 event is nether in not out. Average Annual Fatalities – this set measures average number of annual fatalities for the duration of the mission. Cases with 0 fatalities are fully out; cases with 10,000 fatalities are fully in. 1,000 fatalities represent “nether in, not out” value. Fatalities Annual Difference – this is an indicator that measures the average year-to-year difference in number of fatalities for the duration of the conflict. -50 casualties is fully out (i.e. average growth of casualties by 50 per annum) as this indicator reflects low mission efficacy. 500 is fully in. This number indicates high efficacy; it denotes an average annual decline of casualties by 500 people. If the average number of casualties remains unchanged, then 0 denotes nether in, nor out. Average Annual Mission Casualties – this indicator measures average number of annual casualties for the duration of the mission. 0 casualties is fully out; 500 casualties is fully in. 0.5 is nether in, nor out.
Creator/Author:: Ivanov, Ivan
Submitter:: Ivan Ivanov
Date Uploaded:: 08/04/2019
Date Modified:: 10/15/2021
Date Created:: 2019-08-01
License:: Open Data Commons Public Domain Dedication and License (PDDL)

The Unspoken Arms Race: Neurowarfare

Type:: Article
Description/Abstract:: An expanded version of "The Future of Conflict: Neurowarfare", both of which discuss emerging neurotechnology, neuroscience, and their implications for war, politics, medicine, ethics, and society.
Creator/Author:: Turner, Grant
Submitter:: Grant Turner
Date Uploaded:: 10/15/2021
Date Modified:: 10/15/2021
Date Created:: 2021-10-02
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Crosley Tower

Type:: Article
Description/Abstract:: Article about Crosley Tower on University of Cincinnati's campus.
Creator/Author:: Simpson, Scott
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2020
License:: All rights reserved

Great Kitchens of Cincinnati

Type:: Article
Description/Abstract:: The Corbett House kitchen and John Becker Residence, both notable Cincinnati kitchens.
Creator/Author:: Snadon, Patrick and Meyer, Elizabeth A.
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2018
License:: All rights reserved

Architecture and Sculpture in Cincinnati

Type:: Article
Description/Abstract:: Sculpture and Art in the Terrace Plaza Hotel and Public Library of Cincinnati Hamilton County
Creator/Author:: Snadon, Patrick and Meyer, Elizabeth A.
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2018
License:: All rights reserved

Frank Lloyd Wright's Scandals

Type:: Article
Description/Abstract:: Scandals in newspapers of Frank Lloyd Wright
Creator/Author:: Snadon, Patrick and Meyer, Elizabeth A.
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2018
License:: All rights reserved

John deKoven Hill and the Corbett House

Type:: Article
Description/Abstract:: House designed by deKoven Hill in Cincinnati's Hyde Park neighborhood
Creator/Author:: Snadon, Patrick and Meyer, Elizabeth A.
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2018
License:: All rights reserved

Frank Lloyd Wright in Cincinnati

Type:: Article
Description/Abstract:: Bibliography and Sources for further research
Creator/Author:: Meyer, Elizabeth A. and Snadon, Patrick
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2018
License:: All rights reserved

Crosley Tower

Type:: Article
Description/Abstract:: An article about Crosely Tower on University of Cincinnati's campus
Creator/Author:: Meyer, Elizabeth A. and Simpson, Scott
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2020
License:: All rights reserved

Boswell House

Type:: Article
Description/Abstract:: Article about Frank Lloyd Wright's designed house in Indian Hill, Ohio
Creator/Author:: Meyer, Elizabeth A.
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 09/22/2021
Date Modified:: 09/22/2021
Date Created:: 2018
License:: All rights reserved

Topic Model Results of Ohio Non-Profit Organizations' Mission Language

Type:: Dataset
Description/Abstract:: This CSV file contains the topic distribution of each EIN as uncovered using six parallel Latent Dirichlet Allocation (LDA) Topic Models. Each row depicts a topic and topic-score associated with an Ohio NPO (identified by Employer Identification Number) generated from one model run. The sum of topic scores possible for every row associated with an EIN therefore will not exceed 6.0 (6 models x 100%) Topic scores below .01 (1%) are not included. Each topic from the models is further identified as Essential/Non-Essential by subject matter expert, Dr. Michael Jones, guided by the official IRS definition. The topic models are generated on unstructured text language from the mission statement and activities language taken from the 2019 tax forms of Ohio non-profit organizations.
Creator/Author:: McCabe, Erin E.
Submitter:: Erin E. McCabe
Date Uploaded:: 05/06/2021
Date Modified:: 09/20/2021
Date Created:: 2020-10-03
License:: Open Data Commons Public Domain Dedication and License (PDDL)

Theme Coded Literature Review - Does China's One-China Policy Shape China's Foreign Policy?

Type:: Dataset
Description/Abstract:: Theme Coded Literature Review - Does China's One-China Policy Shape China's Foreign Policy?
Creator/Author:: Turner, Grant
Submitter:: Grant Turner
Date Uploaded:: 07/23/2021
Date Modified:: 07/23/2021
Date Created:: 2019
License:: Open Data Commons Attribution License (ODC-By)

List of Invasive Species in the Midwestern United States with Ornamental Origin

Type:: Dataset
Description/Abstract:: List of plant species recognized as invasive in the Midwest Invasive Plant Network (MIPN), and either regulated or informational. Shown are their method of introduction (intentional vs. accidental), and if intentional, whether it be introduced by ornamental, erosion control, feed/fodder/crops, aquarium trade, and/or medicinal or culinary uses. This was determined from a review of online sources and the scientific literature, and comparison to the dissertation by Sarah Reichard (1994).
Creator/Author:: Culley, Theresa and Feldman, Tziporah
Submitter:: Theresa Culley
Date Uploaded:: 07/05/2021
Date Modified:: 07/05/2021
Date Created:: July 1, 2021
License:: Open Data Commons Attribution License (ODC-By)

Diversity Education through Creativity

Type:: Document
Description/Abstract:: This paper explores the question of why it is important to apply culturally responsive teaching within the classroom, through creativity. Teaching diversity exposes students to a variety of cultural and social groups. This educational experience prepares students to become better citizens, within their communities. Through the creative process, students will examine topics which, both, encompass and promote diversity. Additionally, students will be able to construct their own independent, inclusive environment, through art making; this increase in diversity education relates not only to the race and ethnicity of our students, it also includes religion, economic status, gender identity, language background, and more. Adopting inclusion and awareness around multicultural education and taking a culturally responsive approach to teaching is a benefit to both students and instructors. Not only does creating a better multicultural awareness and inclusive environment help students with different backgrounds and needs succeed, but it encourages acceptance and helps prepare students to thrive in a diverse world. Keywords: cultural diversity, curriculum, teaching, art, social reconstructionism
Creator/Author:: Sydney Barth; Courtney Moreland, and Mahnaz Amin Foroughi
Submitter:: smith4kk@ucmail.uc.edu
Date Uploaded:: 05/18/2021
Date Modified:: 05/18/2021
Date Created:: 2021-04-22
License:: All rights reserved

Vocabulary Count Feature Vectors for Medical School Classifier

Type:: Dataset
Description/Abstract:: Classifier algorithms use the features (collectively known as Feature Vectors) of each item in a dataset to assess the classification to which that item belongs. In this classifier approach, each item represents one document containing the application essay combined with unstructured language describing relevant activities of a single applicant. For privacy, the full text of this document is not provided. Instead, each document is represented only by its features. The feature vector for this classifier is based on the term frequency for each of the identified terms. E.G. Doc_A contains 0 occurrences of any terms identified as family medicine vocabulary, and 10 occurrences of terms from the the non-family-medicine vocabulary.
Creator/Author:: Boylan, Andrew and McCabe, Erin E.
Submitter:: Erin E. McCabe
Date Uploaded:: 05/14/2021
Date Modified:: 05/14/2021
License:: Open Data Commons Public Domain Dedication and License (PDDL)

Vocabulary Comparison of Medical School Applications

Type:: Dataset
Description/Abstract:: W2V takes terms from a large corpus of text and models them onto a vector space, based on word associations from your dataset. These Word Associations take into account each word's immediate context (its ten neighboring words). Following the data modeling (large-scale unstructured text), The platform then generates a visualization of this vector space, which lets us perform analysis e.g. detect synonymous/synonym-ish words and highlight related words. At the heart of this project, is W2V's ability to identify key words that were more frequent - and more unique - to each group using results from 2 different W2V models – one for each group's application texts. We coded these Key Terms into categories, then analyzed those categories for overarching themes.
Creator/Author:: McCabe, Erin E.
Submitter:: Erin E. McCabe
Date Uploaded:: 05/14/2021
Date Modified:: 05/14/2021
License:: Open Data Commons Public Domain Dedication and License (PDDL)

Curriculum Proposal - Care, Relationships, and Collaboration

Type:: Document
Description/Abstract:: Empathy is an essential aspect for all facets of an educational system, specifically in art classrooms. Lack of empathy and collaborative skills can cause issues in relations and classroom management throughout the school year. Utilizing resources such as group lessons, community activities, and classroom reflections can allow for the kind of collaboration needed for students, teachers, and all those involved in a school system to succeed in their endeavors.
Creator/Author:: Celesti, Oliva and Hughes, Jennah
Submitter:: smith4kk@ucmail.uc.edu
Date Uploaded:: 05/07/2021
Date Modified:: 05/07/2021
Date Created:: 2021-04-22
License:: All rights reserved

Addressing the Underrepresentation of Teachers Based on Race, Gender and Sexual Orientation

Type:: Document
Description/Abstract:: The education field has historically underrepresented teachers based on gender, race, and sexual orientation. This has led to a severe lack of diversity in the field. By utilizing professional workshops, educators will have greater awareness of barriers that have caused such underrepresentation. Educators will be given tools to reflect on how this facet of the educational system can be improved.
Creator/Author:: Gray, Joe and Odaka, Haely
Submitter:: smith4kk@ucmail.uc.edu
Date Uploaded:: 05/07/2021
Date Modified:: 05/07/2021
Date Created:: 2021-04-22
License:: All rights reserved

Common Objects

Type:: Article
Description/Abstract:: In the 1960"s and 1970', when most of these unfinished essays were written, I was a free thinking architecture student who perceived a fundamental disconnect within diverse institutions, including Architecture and Education and Money - Banking. I had an intuitive feeling that architecture is more than a visual aesthetic, rather a holistic social experience. The everyday objects with which we interact are an integral part of our social disposition and social wellbeing. The attempt is to develop a method for understanding some previously largely ignored aspects of environmental design – the role of Common Objects as a communication facilitator.- Eric M. Lee
Creator/Author:: Lee, Eric M.
Submitter:: Elizabeth A. Meyer
Date Uploaded:: 04/20/2021
Date Modified:: 04/21/2021
Date Created:: 1960
License:: All rights reserved

Strategies for Increasing Home Ownership in the City of Cincinnati

Type:: Document
Description/Abstract:: Cincinnati has one of the lowest home ownership rates in the country for cities of comparable size. Several other cities with low rates of home ownership in 1970 have managed to increase their rates two to four percent over the past 25 years, but the home ownership rate in Cincinnati has been stable over that period at 38 percent. The best explanation for Cincinnati’s low home ownership rate is that the topography of the city encouraged dense development involving multiple-unit structures up until World War II. When the highway programs of the post-war period opened up the suburbs to development, the city was already built-out and could not compete for new single-unit construction that the federal government was subsidizing on a massive scale. In the last 50 years, the Hamilton County suburbs have gained 140,000 owners while the number of owners in the city has decreased by 1,000. As a result, the home ownership rate in the Cincinnati metropolitan area is greater than the national rate for areas of comparable size (63 percent versus 61 percent) while the rate in the city is far less than the national rate. The City of Cincinnati faces a number of challenges in any effort to increase its home ownership rate. Government programs in other cities typically produce dozens of units a year, not the hundreds of units that Cincinnati needs to produce. In order to achieve even a modest increase in home ownership, the city will have to alter market forces in the direction of increased supply of housing suitable for owner-occupancy and increased demand for home ownership. In order to increase its rate of home ownership to 41 percent by the year 2010, the City of Cincinnati needs to adopt a four-part strategy: Increase the Supply of Units The market cannot produce new units on its own. The city needs to assemble and prepare sites in order to reduce the additional costs associated with building in the city as opposed to the suburbs. City Hall must continue to eliminate barriers to development and provide new services to builders. Cincinnati will not be able to increase the number of middle-class owners without creating new neighborhood areas with the appropriate mix of amenities. At the lower end of the owner-market, the city needs to move aggressively to convert abandoned structures into units people will want to buy and rehabilitate. Help Renters Become Owners While converting renters to owners is an essential component of an overall strategy, the City of Cincinnati must recognize that not everyone can be an owner and target its resources appropriately. The city does not have unlimited funds to change the cost equation of owning a home and will, therefore, have to learn from other cities how to work with lending institutions to increase the flow of dollars under Community Reinvestment Act initiatives. Other cities have had some limited success with programs to convert people renting duplex and condo units into owners. The city needs to increase the availability, extent and quality of education and counseling programs. Attract New Households to the City The city has to market its neighborhoods, and in some cases, smaller areas within neighborhoods. This will require market research, training programs for Realtors, investments in street furniture, increased services, publications extolling city neighborhoods, and programs comparable to the Living in Cleveland program. The city needs to start working cooperatively with the Cincinnati Public Schools. Specific market niches in which the city can hope to compete very successfully include the empty nesters, the gay and lesbian community, first time buyers, and people interested in downtown living. Maintain the Existing Pool of Owners About 75 percent of the time a home owner in Cincinnati sells and buys another home in the Cincinnati area, the home purchased will be in the suburbs. The city must create opportunities for the home seller to move up without moving out of the city. In addition to the above strategies, which involve the central city market, the City of Cincinnati needs to actively promote strategies that will help slow the rate of suburbanization and that will create low income housing opportunities in the suburbs. If suburbanization continues at the current rate, and if the city continues to be the governmental unit with de facto responsibility for low income housing, there is every reason to wonder if there is anything that the city can do to increase its rate of home ownership.
Creator/Author:: Howe, Steven
Submitter:: Steven Howe
Date Uploaded:: 02/05/2019
Date Modified:: 05/23/2019
Date Created:: 1996-12
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Open Research: Making Harmful Habits History

Type:: Media
Description/Abstract:: This webinar was a part of the Data and Computation Science Series. It occurred on March 4, 2021, at 2:00 pm EST. Presenter Bio for Ashley Farley: Over the past decade, Ashley has worked in both academic and public libraries, focusing on digital inclusion and facilitating access to scholarly content. She completed her Masters's in Library and Information Sciences through the University of Washington’s Information School. Ashley is a Program Officer of Knowledge and Research Services at the Bill and Melinda Gates Foundation. In this capacity, she leads the foundation’s Open Access Policy’s implementation and associated initiatives. This includes leading the work of Gates Open Research, a transparent and revolutionary publishing platform. Other core activities involve supporting the strategic and operational aspects of the foundation’s library. This work has sparked a passion for open access, believing that freely accessible knowledge has the power to improve and save lives.” Title of Presentation: Open Research: Making Harmful Habits History
Creator/Author:: Farley, Ashley
Submitter:: Amy Koshoffer
Date Uploaded:: 03/05/2021
Date Modified:: 03/09/2021
Date Created:: 2021-03-04
License:: Attribution 4.0 International

APPENDIX D: Topic Network Maps for a Random 10k Documents & the Complete CORD-19 Dataset

Type:: Document
Description/Abstract:: All models and corresponding network visualizations are generated from documents in the CORD-19 dataset as of July 14, 2020. All annotations in red were added by the research team. Note: These topic models are included here as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
Creator/Author:: McCabe, Erin E.
Submitter:: Erin E. McCabe
Date Uploaded:: 02/26/2021
Date Modified:: 02/26/2021
Date Created:: 2020
License:: CC0 1.0 Universal

APPENDIX B: Coronaviridae Topic Network Maps [SARS, MERS, COVID-19]

Type:: Document
Description/Abstract:: All models and corresponding network visualizations are generated from virus related documents in the CORD-19 dataset as of July, 2020. All annotations in red were added by the research team. Note: Coronavirus topic models are included in the text of this article and are included here only as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
Creator/Author:: McCabe, Erin E.
Submitter:: Erin E. McCabe
Date Uploaded:: 02/26/2021
Date Modified:: 02/26/2021
License:: CC0 1.0 Universal

A Dataset of Roman Fish-Salting and Fulling Workshops

Type:: Dataset
Description/Abstract:: This dataset contains quantitative and qualitative data about the archaeological remains of fish-salting and fulling workshops throughout the ancient Mediterranean world (Europe, North Africa, and Western Asia), primarily dating to the Roman period. The data provided the basis for the two case studies in the author's dissertation (Motz, C.F. 2021. "The Knowledge Networks of Workshop Construction in the Roman World." Ph.D. diss., University of Cincinnati). The tables contained in this dataset were exported from the author's FileMaker database. Detailed information about the structure and contents of this dataset may be obtained by consulting Chapter 2 of the author's dissertation.
Creator/Author:: Motz, Christopher
Submitter:: Christopher Motz
Date Uploaded:: 02/18/2021
Date Modified:: 02/18/2021
Date Created:: 2021
License:: Open Data Commons Open Database License (ODbL)

Virtual Reality in Healthcare

Type:: Article
Description/Abstract:: This paper presents a prime aspect of Augmented and Virtual Reality development in the field of healthcare. We explored several recent works and articles and a comparison between generic application development and immersive technology-based application is included. The paper talks about more practical approaches that can be taken to enhance the effectiveness of the application. The resources (infrastructure) to complete this study are provided by the University of Cincinnati’s Center for Simulation and Virtual Environment Research (UCSIM). And several experiments and projects in the field of health care are used as a reference to make conclusions.
Creator/Author:: Ajmera, Himanshu and Gonen, Bilal
Submitter:: Himanshu Ajmera
Date Uploaded:: 07/22/2019
Date Modified:: 01/30/2021
Date Created:: 2019-05-08
License:: All rights reserved

UC Data Day 2020 Presentations

Type:: Generic Work
Description/Abstract:: The files in this work represent the presentations and workshop content from the 5th UC Data Day held 2020-10-23. The theme was “World Changing Data: How Digital Data Will Change Our Future”. The Keynote speaker was Glenn Ricart, of US Ignite - "Smart Runs on Data" Interactive Panel featuring: Michael Dunaway (moderator) - Whitney Gaskins (Asst Dean, CEAS - Incl Excellence & Comm Engagmnt) - Zvi Biener (Assoc Professor, A&S Philosophy) - Prashant Khare (Asst Professor, CEAS - Aerospace Eng & Eng Mechanics)- Sam Anand (Professor, CEAS - Mechanical Eng) - Achala Vagal (Professor Clinical - GEO, COM Radiology Neuroradiology) Power Sessions: George Turner - Indiana University - High-Performance Computing at UC Erin McCabe - University of Cincinnati - Text Mining, Natural Language Processing & AI link to slides - https://bit.ly/dataday_slides link to code - https://bit.ly/dataday_code Videos of the day can be found on the UC Libraries STRC1 youtube channel - https://www.youtube.com/c/STRC1/videos
Creator/Author:: Koshoffer, Amy
Submitter:: Amy Koshoffer
Date Uploaded:: 11/03/2020
Date Modified:: 12/04/2020
Date Created:: 2020-10-23
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Data on Special Education Voucher use in OH, GA and FLA and information on loss of Least Restrictive Environment Civil Rights

Type:: Dataset
Description/Abstract:: Data collected to identify use of special education vouchers in OH, GA and FLA and if information provided regarding loss of least restrictive environment civil rights.
Creator/Author:: Hulgin, K. and Fitch, E. F.
Submitter:: Kathleen Hulgin
Date Uploaded:: 11/19/2020
Date Modified:: 11/19/2020
Date Created:: 2019-11-01
License:: Public Domain Mark 1.0

COVID 19 literature NLP models – Viral outbreak models formatted

Type:: Dataset
Description/Abstract:: The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
Creator/Author:: Koshoffer, Amy; Hagedorn, Philip ; Latessa, Jenny; Lee, James; Power, Margaret; Luken, Sally; McCabe, Erin; Wu. Danny; Washington, Dorcas; Kannayyagar, Suraj, and Edgerton, Ezra
Submitter:: Amy Koshoffer
Date Uploaded:: 10/29/2020
Date Modified:: 11/05/2020
Date Created:: 2020-07
License:: CC0 1.0 Universal

COVID 19 literature NLP models - Viral outbreak model centrality files

Type:: Dataset
Description/Abstract:: The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
Creator/Author:: Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Lee, James; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Kannayyagar, Suraj, and Powers, Margaret
Submitter:: Amy Koshoffer
Date Uploaded:: 10/29/2020
Date Modified:: 11/05/2020
Date Created:: 2020-07
License:: CC0 1.0 Universal

COVID 19 literature NLP models – Viral outbreak topic tuning

Type:: Dataset
Description/Abstract:: The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
Creator/Author:: Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Kannayyagar, Suraj; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Lee, James; Powers, Margaret, and Hagedorn, Philip
Submitter:: Amy Koshoffer
Date Uploaded:: 10/30/2020
Date Modified:: 11/05/2020
Date Created:: 2020-07
License:: CC0 1.0 Universal

Determining the extent of lateral dispersion in the Ohio River: Combs-Hehl Bridge to the Little Miami River confulence (Ohio River miles 461.9 to 463.3)

Type:: Student Work
Description/Abstract:: Environmental Engineering Senior Design Project Report. Project Sponsor: Richard Stuck (Greater Cincinnati Water Works).
Creator/Author:: Xia, Qianhui; Cummings, Matthew; Adams, Dexter, and Caspersz, Bethany
Submitter:: CEAS Library Staff
Date Uploaded:: 09/21/2020
Date Modified:: 09/22/2020
Date Created:: 2018-04-19
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Impacts of largescale electric vehicle deployment on Cincinnati ambient air quality

Type:: Student Work
Description/Abstract:: Environmental Engineering Senior Design Project Report. Project sponsor: Mike Geers (Duke Energy).
Creator/Author:: Tumbleson, Rachel; Belisario, Kristen, and Stone, Chris
Submitter:: CEAS Library Staff
Date Uploaded:: 09/21/2020
Date Modified:: 09/22/2020
Date Created:: 2020-04-17
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Full Data Set - Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati

Type:: Dataset
Description/Abstract:: This data set is associated with: Turner, G. W. (2014). Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati. University of Cincinnati. https://doi.org/10.7945/2hmt-1h17.
Creator/Author:: Turner, Grant
Submitter:: Grant Turner
Date Uploaded:: 08/30/2020
Date Modified:: 08/30/2020
Date Created:: 2014
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati

Type:: Document
Description/Abstract:: In this proposal for a National Service Learning Academy and complimentary Action Research Program, several curricula configurations are put forth. The first is a full-blown action research major that partially dictates the appropriate courses to take fulfilling the A&S core requirements and the majority of free electives. The second is a minor/certificate in action research. The third is an alternative set of core courses that would replace the credit hours traditionally reserved for the A&S core requirements, enabling any student to tack on the action research experience to their chosen major while still having credit hours available to pursue other minors, certificates, or electives. The fourth is an alternative core that is based more heavily on applied courses and knowledge.
Creator/Author:: Turner, Grant
Submitter:: Grant Turner
Date Uploaded:: 08/30/2020
Date Modified:: 08/30/2020
Date Created:: 2014
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Promoting your Research and Research Impact

Type:: Media
Description/Abstract:: This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on August 24, 2020, at 2:00 pm EDT. Presenter Bios: Sheila Rabun is the ORCID US Community Specialist at LYRASIS, providing dedicated support for institutions adopting ORCID (including University of Cincinnati). Sheila has a background in academic libraries, with a focus on digital workflows, research support, and advocating for interoperability in academia and scholarly communication workflows. Learn more about Sheila at https://orcid.org/0000-0002-1196-6279 Melissa Jacquart is an Assistant Professor in the Philosophy Department at the University of Cincinnati and Associate Director for the Center for Public Engagement with Science. Her research focuses on epistemological issues in the philosophy of science, specifically on the use of models and computer simulations in astrophysics. Her research also examines the role philosophy can play in general public understanding of science, and in science education. She also works on ethics & values in science, science policy, feminist philosophy, and educational best practices. Prior to Cincinnati, she was a postdoctoral fellow at the University of Pennsylvania and the Carnegie Observatories. She has also worked for the National Science Foundation Directorate of Social, Behavioral, and Economic Sciences. She received her PhD, MA in Philosophy from The University of Western Ontario (Canada) and has a BS in Astronomy-Physics, Physics, and Philosophy from The University of Wisconsin-Madison.
Creator/Author:: Shelia Rabun; Melissa ; Mark Chalmers, and Rebecca Olson
Submitter:: Amy Koshoffer
Date Uploaded:: 08/25/2020
Date Modified:: 08/25/2020
Date Created:: 2020-08-24
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Publishing Data in Repositories

Type:: Media
Description/Abstract:: This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on August 10, 2020, at 2:00 pm EDT. Presenter Bios: Lawrence Bennett, Fire & EMS Law, https://doi.org/10.7945/yex7-xj45 Larry is an educator who has worked with Fire departments all over the nation. A noted educator, his textbook is used by professional groups and universities. Abigail Goben, MLS, is an Associate Professor, Data Management Librarian, and Research Data Policy Advisor at the University of Illinois at Chicago. She teaches Evidence-Based Practice for the College of Dentistry, in the Clinical Informatics program, and a graduate Data Management course. Her current research focuses on student privacy and learning analytics, efficacy of data education, and research data policy. She is a co-investigator for the IMLS funded Data Doubles project. She blogs at HedgehogLibrarian.com and can be found on Twitter as @hedgielib. Session Description: Publishing Data In Repositories - August 10th from 2-3pm The currency of academia has long been the article. However, with supplemental materials in so many formats, the nature of the scholarly output has changed dramatically. Additionally funders and journals are requiring that the evidence for the articles is also available. Repositories are an excellent venue for these additional forms of scholarly, particular the data. In this session, attendees will learn about the nature of changing publication outputs, how repositories can help provide the needed infrastructure to share data and other research outputs, and how to make a bigger impact with your scholarship through publishing in a repository.
Creator/Author:: Konecny, Mark; Goben, Abigail; Bennett, Lawrence, and Jason, Don
Submitter:: Amy Koshoffer
Date Uploaded:: 08/19/2020
Date Modified:: 08/24/2020
Date Created:: 2020-08-10
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Handling IP and Data in Grants

Type:: Media
Description/Abstract:: This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on June 29, 2020, at 1:00 pm EDT. Presenter Bio: Geoffrey Pinski is the Assistant Vice President for Technology Transfer in the University of Cincinnati's Office of Innovation. Housed in UC's 1819 Innovation Hub, Geoffrey leads the team responsible for identifying and commercializing the research and innovations of UC’s faculty, staff, and students. Geoffrey rose through ranks, holding nearly every position along the way; starting first as an extern during law school. Under his leadership, the office has set records for invention disclosures, licenses, and startups. As the President of the Ohio Technology Transfer Officers Counsel, he helped develop the Ohio IP Promise; a promise by all 14 states and 2 of the private institutions in Ohio to provide a unified process for commercialization. Session Description: Data is a loaded term - it covers everything from raw numbers to software code. Come learn more about the intersection of Intellectual Property and data; how to protect data, while sharing it; and how and when commercialization might be an avenue. And finally, learn what resources are available to help you navigate the waters of data and Intellectual Property. There is both a ppt slide deck and a mp4 session.
Creator/Author:: Geoffrey Pinski
Submitter:: Amy Koshoffer
Date Uploaded:: 07/01/2020
Date Modified:: 08/19/2020
Date Created:: 2020-06-29
License:: Attribution 4.0 International

List of Articles used to Generate Archaeology/Bone Topic Models

Type:: Dataset
Description/Abstract:: This list contains the titles and publication years of 599 articles from two Archaeology journals, Ancient Mesoamerica and Latin American Antiquity that contain the term, 'bone'. The articles named in this list were used as the dataset to generate LDA topic models for related research.
Creator/Author:: Jackson, Sarah E. and McCabe, Erin E.
Submitter:: Erin E. McCabe
Date Uploaded:: 07/29/2020
Date Modified:: 07/29/2020
Date Created:: December 1, 2019
License:: Open Data Commons Attribution License (ODC-By)

Topic Models of Archaeology Articles referencing 'Bone'

Type:: Dataset
Description/Abstract:: Six topic models were generated using Latent Dirichlet Allocation, an algorithm that considers the probability of words co-occurring in a document given a collection of documents. The collection of documents that these particular models are based on include 599 articles that include the term 'bone' from two archaeology journals, Ancient Mesoamerica and Latin American Antiquity.
Creator/Author:: McCabe, Erin E. and Jackson, Sarah E.
Submitter:: Erin E. McCabe
Date Uploaded:: 07/29/2020
Date Modified:: 07/29/2020
Date Created:: 2019-11-01
License:: Open Data Commons Attribution License (ODC-By)

Getting Published - Publishers Panel

Type:: Media
Description/Abstract:: This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on July 13, 2020, at 2:00 pm EDT. Presenter Bio: Jeffrey Layne Blevins (PhD) - is Head of the Journalism Department at the University of Cincinnati and editor of Democratic Communiqué. His scholarly focus is the political economy of U.S. media industries, and his most research includes data visualizations of social media activity involving social justice issues and the spread of misinformation on Twitter. The Communiqué is the official publication of the Union for Democratic Communications Victoria Carr (PhD) - Professor of Early Childhood Education/Human Development and Executive Director of the Arlitt Center for Education, Research, and Sustainability at the University of Cincinnati, conducts research related to play and learning environments, teacher pedagogies, and children’s experiences in nature. Her research on nature playscapes and STEM education has been supported by the US National Science Foundation. She serves as Co-Editor for Children, Youth & Environments, co-chair of the Leave No Child Inside Greater Cincinnati Collaborative, and as a Board of Directors member for Cincinnati Nature Center. She is an advocate for mindful, sustainable and child-friendly communities. Theresa Culley (PhD) - is a Professor and Head of the Department of Biological Sciences. As a plant biologist, she co-founded and currently serves as Editor-in-Chief of Applications in Plant Sciences, an online methods journal published by the Botanical Society of America in association with Wiley Publishing. The journal highlights novel methods in all areas of the plant sciences, serving established professionals as well as junior researchers around the world. Steven Lange - Director, graduated from Heidelberg College in Tiffin, Ohio with a Bachelor of Science degree in Biology. Steve became our director in 2013. He has over 25 years of experience in the leather industry, including tannery, finishing, and automotive cutting/wrapping operations. In addition to continually growing our roster of clients, he has taught over 200 students in our various classes. His knowledge of leather testing procedures and processes is unrivaled. In his free time, he volunteers for the Leader Dogs for the Blind organization, is the editor of the JALCA (Journal of the American Leather Chemists Association) and enjoys spending time with his family and dogs. Session Description: Publications have long been the currency for academia. The first publication can be the hardest. And today’s scholarly articles are more than pdfs and can include multi-media supplemental materials including raw or additional data, videos, interactive maps, and other components of your scholarship process. In this one hour web session, UC faculty who are journal editors will discuss how to - dentify the right journal for your work - avoid predatory journals - maximize your research impact through altmetrics and data publishing - increase your understanding of the publishing process through opportunities such as being a guest editor on a special issue or serving as a reviewer. This event is free and open to all seeking to publish their scholarship and maximize its impact.
Creator/Author:: Culley, Theresa; Blevins, Jeffrey Layne; Lange, Steven, and Carr, Victoria
Submitter:: Amy Koshoffer
Date Uploaded:: 07/17/2020
Date Modified:: 07/28/2020
Date Created:: 2020-07-13
License:: Attribution 4.0 International

Understanding Open Access and Open Data

Type:: Media
Description/Abstract:: This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on July 27, 2020, at 2:00 pm EDT. Due to technical difficulties, the presentation starts at 8:47. The presenter was Claudio Aspesi, Senior Research Analyst. He joined Sanford C. Bernstein & Co., LLC, in 2004 covering European media stocks. Previously he was Global Senior Vice President of Strategy at EMI Music and was responsible for defining the company’s business model as the music industry entered the digital age. Before joining EMI Music in 2002, Mr. Aspesi was a member of the executive team at Airclic, an Internet infrastructure company, and prior to that a Principal at McKinsey and Co., working with many leading media and entertainment companies. Mr. Aspesi graduated with the highest honors from Universita Luigi Bocconi, Milan, with a Laurea in Economia Aziendale. Session Description - Open data and metadata - opportunities, risks, and possible actions Research data is at the core of what universities do. Its value to researchers is, of course, paramount - and open science offers significant benefits to the scientific community. But this data, and the attached metadata, are increasingly valuable for third parties as well. We will discuss how research data and metadata increasingly overlaps with all the other data produced by academic institutions, how it is becoming increasingly valuable outside the academic community, and how it could become even more valuable in the future. The collection, analysis, synthesis and preservation of data and metadata, however, pose significant issues as well; for example, data can and is being used to evaluate individuals (with the biases implicit in developing algorithms to analyze them). More broadly, the collection and analysis of data raises privacy and academic freedom concerns, and so does the lack of transparency and accountability of third party users. Ultimately, the deployment of data analytics and Artificial Intelligence tools should fit with the broader values of the academic community, such as equity and sustainability - whether it does so is controversial. In addition to the need to establish principles for the use of data analytics and Artificial Intelligence, there are also significant ethical questions that need to be addressed, and that pose significant challenges, and there are questions about how to ensure the long term preservation of data and metadata. We will close the presentation with a look at possible steps that the academic community ought to take to address all these issues. We hope that a discussion will follow, in order to address questions and issues, as well as to gather points of view from participants
Creator/Author:: Aspesi, Claudio
Submitter:: Amy Koshoffer
Date Uploaded:: 07/28/2020
Date Modified:: 07/28/2020
Date Created:: 2020-07-27
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Does the One-China policy shape the People’s Republic of China’s foreign policy?: Soft, sharp, and hard power

Type:: Article
Description/Abstract:: This analytical paper asks, does the One-China policy shape the People’s Republic of China’s foreign policy? This paper begins by briefly defining the One-China policy and situating it in the respective histories of China and its current incarnation as the People’s Republic of China (PRC). Then, after untangling the often muddled classifications of soft, sharp, and hard power, the question is interrogated in the context of each class of power (Nye, 2004; Nye, 2011; Nye, 2018; Raby, 2019; Walker & Ludwig, 2017). This analytical essay concludes that the PRC does employ predominantly sharp and hard power strategies that are heavily influenced by the One-China policy.
Creator/Author:: Turner, Grant
Submitter:: Grant Turner
Date Uploaded:: 07/07/2020
Date Modified:: 07/08/2020
Date Created:: August 11, 2019
License:: Attribution-NonCommercial-ShareAlike 4.0 International

WORKING DRAFT - 5G and International Security: How the UK can Lead the Way

Type:: Document
Description/Abstract:: The current debates revolving around 5G, Huawei, and how they are resolved, are highly visible indicators of the technology based shifts in the global order which are setting the tone for the 21st century. Currently, it seems that many in the US and the PRC are using Cold War and Thucydides Trap paradigms, with a zero-sum mentality. At least in the case of 5G technology, the UK seems to have taken a more nuanced approach. This article comes as the UK prepares its new National Cyber Security Strategy, reviewing the 5G and cyber security debates surrounding Huawei in a highly interdisciplinary manner, and directing readers to a rich variety of resources. In addition to its analysis of issues and solutions often absent from the discourse, this article’s feature contribution is the argument that the UK can be more than an example of a middle way. Specifically, if the UK scales up and internationalizes its Huawei Cyber Security Evaluation Center, perhaps by creating an International Cyber Security Evaluation Center, it can lead its allies and the world in 5G, 6G, cybersecurity, and international relations, filling a vital leadership vacuum.
Creator/Author:: Huang, Russell and Turner, Grant
Submitter:: Grant Turner
Date Uploaded:: 07/08/2020
Date Modified:: 07/08/2020
Date Created:: June 30, 2020
License:: Attribution-ShareAlike 4.0 International

Aniba DNA sequence matrices

Type:: Dataset
Description/Abstract:: Matrices of DNA sequences used to generate the phylogeny of Aniba rosiodora and related species (Lauraceae) presented in the manuscript entitled "Chemical and genotypic variations in Aniba species from the Amazonian forest"
Creator/Author:: Tepe, Eric
Submitter:: Eric Tepe
Date Uploaded:: 05/17/2019
Date Modified:: 05/17/2019
Date Created:: 2019-05-16
License:: Open Data Commons Public Domain Dedication and License (PDDL)

Promotion of food allergy by the unfolded protein response (preprint)

Type:: Document
Description/Abstract:: This is a preprint of a to be submitted paper that demonstrates that: (1) many important food allergens (eggs, milk, peanuts, tree nuts) induce the unfolded protein response (UPR) in intestinal epithelial cells; (2) induction of the UPR, in turn, stimulates the expression of pro-Th2 cytokines (IL-25, IL-33, TSLP) that are required for the induction of food allergy by these cytokines; (3) egg allergy is suppressed in mouse models by the UPR inhibitor, metformin (a drug widely used to treat diabetes mellitus); and (4) metformin appears to have a protective effects in humans who have alpha-gal syndrome, which is a form of food allergy.
Creator/Author:: Finkelman, Fred
Submitter:: Fred Finkelman
Date Uploaded:: 06/02/2020
Date Modified:: 06/02/2020
Date Created:: 2020-06-02
License:: Open Data Commons Attribution License (ODC-By)

An Extended Comment on the Analysis of Risk-‐Sensitive Foraging Among the Aché of Paraguay and a Brief Reply to Codding et al.

Type:: Article
Description/Abstract:: Shortly after the comparative analysis of Codding et al. was published, I prepared a comment on the article that I submitted for publication. In response to feedback from the editors, I eventually revised the manuscript substantially. That revised version has now been published. In this paper, I share the original submission of the comment, which focuses on important considerations for future studies of risk-‐ sensitive foraging. Meanwhile, Codding and his colleagues have published a response to my comment. They exhibit some confusion about my position, which they describe as “paradoxical.” In a reply to their response, I have therefore added some clarifying remarks at the end of this paper
Creator/Author:: Koster, Jeremy
Submitter:: Jeremy Koster
Date Uploaded:: 07/26/2019
Date Modified:: 05/27/2020
Date Created:: 2012-03
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Smart Home Repos: Taking Data from Devices

Type:: Article
Description/Abstract:: This is an ongoing research project focused on creating a framework for capturing various artifacts concerning Internet of Things devices. Research has shown a severe lack of frameworks focusing on collecting data from and about IoT devices. Mozilla’s WebThings Gateway focuses on collecting this information from the devices. This project expects to find methods of IoT data collection through a proposed test-bed utilizing the WebThings Gateway.
Creator/Author:: Mahajan, Pranav
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Tilt Brush: The Utilization of a Virtual Reality Intervention for Evaluating Self-Reported Anxiety, Depression, & Stress

Type:: Article
Description/Abstract:: With the prevalence of anxiety, depression, and stress among young adult populations, adaptive and innovative treatment options must be considered for the future. While there are various approaches to mental health treatment, art therapy is one traditional method that has been used to treat the symptoms of mental health disorders across various health contexts and populations. Some art therapists have even integrated information and communication technologies (ICTs) into their practices. With these factors in mind and considering the prominence of ICTs use among student populations, this study seeks to understand how the immersion and presence afforded by one such technology, virtual reality (VR), can impact the outcomes of art therapy practices. Through the use of an arts-based VR application, Tilt Brush, this study compares traditional art therapy methods as they are employed in and outside of VR. Through the comparison of self-reported measures, we can better understand the possibilities and effectiveness of art therapy practices delivered via Tilt Brush VR.
Creator/Author:: Schaaf, Andrea
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

Application of Autoencoder Duets in Anomaly and Intrusion Detection

Type:: Article
Description/Abstract:: Signature-based intrusion detection methods report high accuracy with a low false alarm rate. However, they do not perform well when faced with new or emerging threats. This work focuses on anomaly-based data driven methods to identify potential zero-day-attacks using a specific class of neural networks known as the autoencoder.
Creator/Author:: Li, Chengcheng; Lee, Kijung; Mathur, Nitin, and Gonen, Bilal
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Scraping The Deep Web: A 3-Dimensional Framework For Cyber-Threat Intelligence

Type:: Article
Description/Abstract:: Cyberspace is one of the most complex systems ever built by humans. The utilization of cybertechnology resources are used ubiquitously by many, but sparsely understood by the majority of the users. In the past, cyberattacks were usually orchestrated in a random pattern of attack to lure unsuspecting targets. However, the cyber virtual environment is an ecosystem that provided a platform for an organized and sophisticated approach to launch an attack against a specific target group or organization by nefarious actors. In 2019, the average cost of cyber-attack in the US was about $1.6 million. This paper proposes a 3D framework to signal new threat alert before the actual occurrence of the threat on the surface web to alert cybersecurity experts and law enforcement agencies in preventive measures or means of mitigating the severity of damage caused by cyberattacks. The methodology combines information extracted from the deep web through a smart web crawler with socio-personal and technical indicators from twitter which is mapped with OTX (Open Threat Exchange). The OTX is an open-source cyber threat platform managed by security experts. The OTX endpoint security tool(OTX python SDK) will be used to identify a new type of cyber threats. The effectiveness of the framework will be tested using the machine learning algorithm precision-recall rate.
Creator/Author:: Adewale, Adewopo Victor and Gonen, Bilal
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Crime Hot Spots: Proposing a new model for appropriate identification of crime hot spots

Type:: Article
Description/Abstract:: This research focuses on two fundamental aspects of hot spot policing that have been widely neglected by previous scholarly research. These aspects include the adequate concentration of crime at a smaller geographical unit to be considered a crime hot spot, and the cost-benefit implication of focusing limited police resources on such a smaller place in an effort to prevent criminal activities. Substantial limitations in call-t- service data from police departments raise concern on the purported concentration of crime at places that warrant such strategy in the first place. We will examine data from the Cincinnati Police Department and propose guidelines on adopting a threshold when designating places as crime hot spots, using time and cost-benefit analysis as key determinants.
Creator/Author:: Hussein, Abdul Aziz and Ozer, Murat
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Implementation of a hybrid machine learning technique for network intrusion detection

Type:: Article
Description/Abstract:: The current rapid growth in the computer and internet development has ushered in numerous cybersecurity challenges which are constantly evolving with time. The current cybersecurity solutions are no longer optimal in tackling these emerging cyber threats and attacks. This paper proposes the creation of a cybersecurity dataset to be used for a hybrid machine learning (ML) approach of supervised and unsupervised learning for an effective intrusion detection system. The proposed model entails a five-stage process which starts at the setup of a simulated network environment of network attacks to generate a dataset which feeds into the data normalization stage and then to data dimension reduction stage using the principal component analysis as a feature extraction method after which the data of reduced dimension is clustered using the k-Means method to bring about a new data set with fewer features. This new dataset is afterward classified using the enhanced support vector machine (ESVM). The proposed model is expected to provide a high-quality dataset and an efficient intrusion detection system in terms of intrusion detection accuracy of 99.5%, short train time of 3seconds and a low false-positive rate of 0.4%.
Creator/Author:: Eichie, Maxwell
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Securing A Small Office Home Office Network: Integrating A Supervised Neural Network Algorithm

Type:: Article
Description/Abstract:: Small office home office networks have become a target for many threat actors, hackers and cyber attackers and hence there is an urgent need to secure the network from such attackers. Most small office home office network users do not see the need to provide enough security to their networks because they assume no one is going to hack them forgetting that the biggest threat of our small home networks today comes from the outside. The challenge of misconfiguration of routers, firewalls and default configurations in our small home networks renders the network vulnerable to attacks such as DDos , phishing attacks , virus and other network attacks hence the need to implement a detection algorithm to help identify flaws in the pattern of the small office network. It turns out that about 75% of existing approaches focused on intrusion detection in 802.11 wireless networks of a SOHO and not the entire network. These approaches do not efficiently secure the network entirely leaving the rest prone to attacks can occur with or without the internet. This paper proposes to add another layer of security to the other preventive measures in a SOHO network by designing, implementing and testing a supervised neural network algorithm to identify attacks on the small home network and also to send a notification to users to keep them informed of the activities on their network. The supervised neural network algorithm will have a dataset representing both attacks and non-attacks which will be used in the training phase. The system should be able to detect and identify the various attacks and anomalies when they occur on the network and help keep the users informed.
Creator/Author:: Azumah, Sylvia Worlali and Li, Chengcheng
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Relative Importance of Blockchain in Health Care: Enhancing data sharing and mitigating cyber security crimes

Type:: Article
Description/Abstract:: This paper looks at the opportunities and challenges of implementing blockchain technology across the medical sector and provides a clear view which can enable blockchain for more extents. After a notable research on underlying blockchain technology which offers distributed governance, immutable audit trail, provenance of data, robustness and privacy, we contrasted blockchain innovations and identified prominent applications of it in historically decentralized healthcare sectors. As the healthcare industry faces many challenges like unauthorised data sharing, lack of data transparency, ransomware, data breaches and cyber crimes, blockchain is one of the best ways to enhance data sharing and to mitigate prominent cyber crimes. By proper designing of a decentralized and immutable blockchain network where the data is dispersed among credentialed social insurance experts guarantees that cybercriminals cannot touch single patient’s confidential data, which facilitates encryption or cryptography of personal data where no patient’s emergency data is at extreme hazard. Blockchain trust-worthy cloud is one of the most powerful and secure ways of storing high confidential data. After analysing Blockchain implementations and identifying its potential in healthcare, we conclude with several promising directions for future research.
Creator/Author:: Ponnakanti, Hari Priya; Ozer, Murat, and Gonen, Bilal
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Explaining the Relationship between Internet and Democracy in Partly Free Countries Using Machine Learning Models

Type:: Article
Description/Abstract:: Previous studies have offered a variety of explanations on the relationship between democracy and the internet. Some argue that with free access to information, knowledge sharing without any constraint, and the spread of political knowledge, the internet will help change people’s political attitudes and spread democracy. Other studies found that authoritarian regimes by censoring the internet, tracking the political activist, prosecuting the dissidents, and using the internet to spread their propaganda limit the democratization. Also, some studies explored the effects of diffusion of false news through the internet and especially via social media. However, most of these studies concentrate on regions, specific states or authoritarian regimes. No study has investigated the influence of the internet in partly free countries defined by the Freedom House. Moreover, very little is known about the effects of online censorship on the development, stagnation, or decline of democracy. To fully understand the impact of the internet and online censorship on democratization in partly free countries, we must explore these relationships in these countries. Drawing upon the International Telecommunication Union, Freedom House, and World Bank reports and using machine learning methods, this study sheds new light on the effects of the internet on democratization in partly free countries. The findings suggest that internet penetration and online censorship both have a negative impact on democracy scores and the internet’s effect on democracy scores is conditioned by online censorship. Moreover, results from random forest suggest that online censorship is the most important variable followed by governance index and education on democracy scores.
Creator/Author:: Varlioglu, M. Said and Sagir, Mustafa
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Social Networks of Technology Caregivers and Caregivees

Type:: Article
Description/Abstract:: The paper focuses on exploring the social networks of technology caregivers and caregivees and also work on learning their preferred mode of information exchange. Responses from the participants of the study will throw light on the relationships between different efficacies (discussed in detail in the paper) that may have an impact on an individual’s decision. Participant’s responses are recorded through well constructed surveys that have been distributed around by word of mouth or specific social media platforms which will also prove if being a power user has any effect on the end result. The responses will be analyzed and the various efficacy constructs such as self efficacy, community collective efficacy will be kept in mind.
Creator/Author:: Kaushik, Sanjana and Elrod, Nathan J.
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

A Community-based Approach to Co-Managing Privacy and Security in Smart Homes

Type:: Article
Description/Abstract:: This study proposes enhanced oversight of smart homes by leveraging the social networks of homeowners to co-monitor for emergencies, while being mindful of privacy preserving features necessary for adoption. A pilot co-design workshop was conducted to determine features for co-monitoring. A group of four participants provided early findings and informed modifications to study design, and new insights for user behavior were emphasized. By refining the study design, we hope to better target users’ tacit knowledge in future workshops. Early findings include the users’ need for more than simply sharing access to a camera during an emergency in the home; users desired control over the microphone, the camera video stream, and the length of time. We believe this work will contribute to a broader understanding of features that better meet the needs and goals of smart device owners to enable co-monitoring.
Creator/Author:: Brandopadhayay, Rajdeep; Halse, Shane; Elrod, Nathan J.; Kropczynski, Jess, and Burden, Eric
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Understanding Decision-Making Needs of Open Government Data Users

Type:: Article
Description/Abstract:: Open Government Data (OGD) promotes transparency, innovation, and value creation that makes information gathered by the government about the city and community open to all. The City of Cincinnati Open Government Data Portal allows citizens to access local data as part of a local OGD initiative. Although these datasets are available and are used by a broad audience, little is known about how users engage with this data and the general usability of the platforms. To learn more about this audience, this study is conducted in two steps 1)- a think-aloud activity and 2)- an online survey. Through these activities, we aim to gather information about how the users are interacting with the available data and for what purpose are they interacting with different sections of the portal. After gathering relevant data from the think-aloud activity, we aim to generate a questionnaire by analyzing all the information collected in the previous event at a larger scale. Using a web-based survey shared with individuals via Qualtrics, we will explore the use of the portal to gain more insight and knowledge on user requirements and their suggestions. The endpoint of this study is to develop insights that will help us understand user expectations and how changes could benefit the portal.
Creator/Author:: Murthy, Svati Sundara
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Intrusion Detection System in Smart Home Network Using Artificial Immune System and Extreme Learning Machine Hybrid Approach

Type:: Article
Description/Abstract:: Internet of Things (IoT) enabled smart homes to have made our daily lives easier, but these conveniences have also introduced security concerns. IoT devices hold security risks as well as smart home hubs and gateways. Gateways present a centralized point of communication among devices that can create a backdoor into network data for hackers but also present a detection opportunity. Intrusion detection is a common way to detect anomalies in network traffic. This paper introduces early work on an intrusion detection system (IDS) by detecting anomalies in the smart home network using Extreme Learning Machine and Artificial Immune System (AIS ELM). AIS uses the clonal Algorithm for the optimization of the input parameters, and ELM analyzes the input parameter for better convergence in detecting anomalous activity. The larger goal of this work is to apply this approach to a smart home network gateway and combined it with a push notification system that will allow the homeowner to identify any abnormalities in the smart home network and take appropriate action.
Creator/Author:: Alalade, Emmanuel Dare
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2020-04-14
License:: All rights reserved

Enhancing Physical and Cyber Security of Smart Homes using Co-Monitoring of IoT Devices

Type:: Article
Description/Abstract:: Devices in the Internet of Things (IoT) have enhanced our ability to automate functions in smart homes and increased our ability to monitor day to day activities regardless of whether we are in our home. Despite these benefits of IoT devices, it is the case that notifications about threats to our home when we are away are typically only sent to one or two people within the home. We proposed enhanced monitoring of threats by allowing temporary access to IoT devices to extended networks of homeowners in situations where primary IoT device owners are not able to address a smartphone notification quickly.
Creator/Author:: Agrawal, Dev
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

Integrating NIST Framework into FAIR model for Quantitative Risk Assessment of Cyber Threats

Type:: Article
Description/Abstract:: As incessant cyber-attacks on organizations increase in complexity and destructiveness with the aim to disrupt services and steal information, proactive measures are critically needed to mitigate these attacks, cyber security risk assessment tops the list of measures. This study provides an overview of cybersecurity risk assessment, various types of frameworks, and the difference between qualitative and quantitative cybersecurity risk assessments. The aim of this early research is the creation of a hybrid system which integrates an existing cybersecurity risk assessment system based on the NIST framework into the Factor Analysis of Information Risk (FAIR) model, an analytic risk assessment model that enables true quantitative measurement. In this study, we propose a hybrid-assessment tool which will be used to describe and compare the impact of using NIST driven values as inputs for the resistance strength to determine the Loss Event Frequent (LEF) and Annual Loss Expectancy (ALE) of a risk scenario as opposed to using experts’ opinion as user inputs for determination of the LEF and ALE values.
Creator/Author:: Gilany, Yahya; Kunapareddy, Vivek; Bakare, Adeyinka, and Said, Hazem
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

Finding Actionable Information on Social Media

Type:: Article
Description/Abstract:: A great deal of data is generated every day on social media, although this information is used for marketing purposes regularly, it has the potential to serve other purposes, such as in crisis management. This study focuses on collecting data from social media, specifically Twitter, in order to help 911 telecommunicators (floor supervisors, call takers, and dispatchers) to 1) identify Twitter users requesting assistance during a crisis, 2) identify information that may be useful to incidents that were called into 911, and 3) pass the information to the first responders (police, fire, and emergency medical services). Previous research in this area can be summarized into three stages. First, a set of information requirements has been developed that must be satisfied to dispatch first responders and meet their immediate awareness needs. Second, a coding schema has been presented to identify six types of actionable information. Finally, it proposed automated methods based on previous literature which can be used to implement these methods in the future (Kropczynski et al. 2018). This research concentration is on refining social media data by starting with finding local tweets that contain this information and recognize patterns of how it is used. Next, patterns will be used in the development of automated methods in the future. The contribution of this work is extending the coding schema of the 6Ws and put it on an action, develop an interface to view the data of social media separated by the 6Ws. It will begin with just on of the six Ws (Weapons).
Creator/Author:: Abdelhalim, Ammar Ahmed
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

PREDICTION AND DETECTION OF DEPRESSION USING FOREST TREE ALGORITHM

Type:: Article
Description/Abstract:: Depression is a common illness that negatively affects feelings, thoughts and behaviors and can harm regular activities like sleeping. It is a leading cause of disability and many other diseases (Choudhury, et al 2013, Mathur et al, 2016, Watkins et al, 2013). According to WHO (World Health Organization) 1 statistics, more than 300 million people over the world are affected in depression and in each country at least 10% are provided treatment. Poor recognition and treatment of depression may aggravate heart failure symptoms, precipitate functional decline, disrupt social and occupational functioning, and lead to an increased risk of mortality (Cully, et al 2009). Early detection of depression is thus necessary. Unfortunately the rates of detecting and treating depression among those with medical illness are quite low (Egede, 2007). This research proposes a solution of using random forest classifier algorithm to detect and predict detection. A mobile application will be developed in order to collect user data and make prediction.
Creator/Author:: Halliday, Nnennaya
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

A LOOK AT EDGELESS HYBRID-CLOUD INFRASTRUCTURE – AN OPTIMIZED SOLUTION FOR MULTI-SITE BACKUP, DISASTER RECOVERY AND HIGH AVAILABILITY

Type:: Article
Description/Abstract:: Cloud computing has been one of the major disruptive technology of this century changing the entire face of IT infrastructure across all spectrum. This has led to tremendous development, improvement and cost efficient means of securing IT infrastructures. Virtualization is the backbone driving the numerous cloud solutions and also making them marketable in the pay-as-you-use mechanism for all kind of deployment. This research is focus on improving the security and performance of cloud storage, backup and disaster recovery by evaluating the possibility of eliminating the Recovery Point Objective (RPO) and Recovery Time Objective (RTO). A live synchronization between production and Disaster Recovery (DR) sites is presented. We considered the mechanism behind Virtual Machines (VM) and hypervisor interaction with physical memory on host computers and evaluated the ability of VM to read/write directly to a unified multiple storage locations. Dependencies, requirements and guidelines for implementing this solution would also be analyzed.
Creator/Author:: Li, Chengcheng and Efosa, Ogbomo
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

Predicting Future Shooting Crime Locations Using Principles of Data Analytics (SHOPS)

Type:: Article
Description/Abstract:: Shooting crime is a serious public health problem in the US. The analysis of any historical crime data reveals that crime is non-randomly distributed in time and space. Based on this notion, hot spots policing has gained its momentum to effectively predict future crime locations. Recent studies; however, pointed out that traditional hot spots policing occasionally predict rare crimes such as homicides and shootings due to their less frequent recurring counts in a given place and time (specifically for shorter time periods such as weeks and months). Given this context, we developed a new shooting prediction system (SHOPS) to explore whether recent dynamic/mobility activity patterns of known violent individuals increase the prediction of short-term fatal and non-fatal shootings compared to the traditional hot spots policing. Findings suggest that SHOPS predicts fatal and non-fatal shooting locations more precisely by identifying fewer hotspot locations. Policy implications of the study were discussed in the conclusion section.
Creator/Author:: Varlioglu, M. Said and Ozer, Murat
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

Minimal Criteria: Minimizing User Input and User Interface for Faster Output in Minimalistic Mobile Applications

Type:: Article
Description/Abstract:: The principles of minimalist design are evident in much of the technology we use today. This is especially the case with mobile applications. The most successful of which attempt to minimize the amount of user input needed to provide users with the information they are seeking. Although many mobile applications use data gathered by in-system activity such as a GPS to minimize input from users—some systems require user input, such is the case with roommate matching. This study utilizes the RoomUP mobile application as a testbed to define minimal criteria that can be used to gather user input and produce a compatible roommate match. Participatory design with prospective student users is used to reduce the number of variables and provide recommendations for a minimalistic user interface. The resulting prototype is then used to verify that it meets design goals and supports a satisfactory user experience.
Creator/Author:: Maddirala, Sumanth
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

OPTIMIZING PATIENT-CENTERED MOBILE APPLICATIONS USING DATA MINING TECHNIQUES

Type:: Article
Description/Abstract:: The healthcare industry is thriving and the abundant amount of data involved raises call for help relating to managing and maintaining them. It becomes a hassle to keep the data in it’s required place and to pull and retrieve whenever necessary. The search for a proper data mining technique to enhance the process is always appreciated and encouraged. Our era is controlled by the upcoming technologies that are fast paced and yield great results. There is always a scope for improvement and optimization. Every individual from every generation has been an avid user of mobile phone and its applications. Healthcare facilities have slowly begun to depend on applications and technologies associated and supported by mobile phones and other networking platforms in order to have everyone within the facility and also the patients who have ties to the facility have access to the information that they are entitled to have.
Creator/Author:: Kaushik, Sanjana
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

An Overview of the next phase of Virtualization

Type:: Article
Description/Abstract:: Hypervisor-based hardware virtualization- also known as the first phase of virtualization uses Virtual Machines (VM) to provide better hardware resource utilization and application isolation. A VM provides some level of portability, but still requires a full operating system (OS) with all the binaries and libraries required to run the service it hosts. Therefore, moving an application from a development to a production environment for instance is no different than moving them between two Physical Machines (PM). Container-based virtualization-sometimes known as the next phase of virtualization addresses some of these limitations by providing virtualization at the OS level. Docker is an open source engine launched in 2013 by a company called Docker, Inc. Docker is used to manage the lifecycle of containers. Using containers, it is no longer necessary to dedicate an entire VM to an application in order to provide isolation, thus saving OS license costs. In this project we plan to formulate a generic model that can be used to fine tune a container-based setup for maximum performance benefit.
Creator/Author:: Chengcheng Li and Nitin Mathur
Submitter:: Jess Kropczynski
Date Uploaded:: 05/15/2020
Date Modified:: 05/15/2020
Date Created:: 2019-04-11
License:: All rights reserved

Transition to Remote Learning During the COVID-19 Pandemic: Lessons from Political Science Courses and Recommendations for Best Practices

Type:: Dataset
Description/Abstract:: Dataset Summary: This dataset studies the main challenges that students in these institutions faced during the transition from face-to-face (f2f) to remote mode of instruction and the resources that they used to minimize these adversities. In order learn about their experiences during this transition, I surveyed at the end of the Spring Semester students enrolled in two Political Science (POL) classes. The results showed that majority of students struggled with stress caused by moving away from campus and self-quarantine leading to deteriorating mental and physical health. Concerns about student health along with distraction at home were identified as top adversities for student well-being. Survey results also showed that educational resources can have varying impact on student learning in introductory and upper-level courses. For example, lecture notes, power point presentations and online videos can be better resources for remote instruction in an introductory class, while class meetings via video conferencing platforms can be the preferred resource of instruction in upper-level courses. Below is the questionnaire used for this study: Survey Questionnaire: Transition to Remote Instruction During COVID-19 Crisis: Qualtrics Link for POL1080: https://artsciuc.co1.qualtrics.com/jfe/form/SV_bd7cF1OF6eNeYBv Qualtrics Link for POL2074: https://artsciuc.co1.qualtrics.com/jfe/form/SV_3xegnXy4LFSC2t7 1. As you know, the University of Cincinnati has transitioned from face-to-face to remote instruction for Spring Semester since March 14, 2020 due to COVID-19. Once it was decided to switch to remote instruction, how did you expect that this decision would impact your performance in this class? I thought it would improve my performance I thought it would impair my performance I did not think that it would impact my performance I don’t know 2. Based on your experience with remote instruction, how do you think the new form of instruction impacted your performance in this class? I did better in this class after we switched to remote teaching I did worse in this class after we switched to remote teaching The switch to remote teaching had no impact on my performance I don’t know. 3. Do you agree or disagree with the following statement: “I felt that the instructor in this class provided timely instructions and information about the switch from face-to-face to remote form of content delivery in the class”? Completely agree Partially agree Partially disagree Completely disagree Not sure/ don’t know. 4. Do you agree or disagree with the following statement: “I felt that the instructor in this class cared about my performance in the class once we switched from face-to-face to remote form of content delivery in the class”? Completely agree Partially agree Partially disagree Completely disagree Not sure/ don’t know. 5. Which of the following course resources (if available) helped you ease the transition from face-to-face to remote instruction (check all that apply)? Online instructional videos created or made available by the instructor Instructor-led class meetings via a web-conferencing platform (e.g. Webex, Zoom, MS Teams, Skype) Meetings with the instructor via a web-conferencing platform (e.g. Webex, Zoom, MS teams, Skype) during their office hours Instructor’s lecture notes and presentation materials (e.g. Power Point Slides) Online quizzes or interactive questions administered via web platforms (e.g. Canvas, Blackboard, Echo 360 or others). Online forums made available for this course Assigned course readings Book publisher’s online resources (websites, book ancillaries, etc.) Supplemental assistance from teaching assistants (e.g. office hours, online sessions, etc.) Supplemental peer-led review sessions (e.g. Learning Assistant Sessions, Supplemental Instruction Sessions, etc.) Group activities with peers enrolled in the class (e.g. study sessions via conference platforms) Others (please list) _________. 6. Which one of the following course resources was most helpful to you in the transition from face-to-face to online mode of content delivery (select only one)? Online instructional videos created or made available by the instructor Instructor-led class meetings via a web-conferencing platform (e.g. Webex, Zoom, MS Teams, Skype) Meetings with the instructor via a web-conferencing platform (e.g. Webex, Zoom, MS teams, Skype) during their office hours Instructor’s lecture notes and presentation materials (e.g. Power Point Slides) Online quizzes or interactive questions administered via web platforms (e.g. Canvas, Blackboard, Echo 360 or others). Online/ web discussion forums made available for this course Assigned course readings Textbook publisher’s online resources (websites, book ancillaries, etc.) Supplemental assistance from teaching assistants (e.g. office hours, online sessions, etc.) Supplemental peer-led review sessions (e.g. Learning Assistant Sessions, Supplemental Instruction Sessions, etc.) Group activities with peers enrolled in the class (e.g. study sessions via web-conferencing platforms) Others (please list) _________. 7. Which of the following, do you think, impacted negatively your performance in this class during the transition from face-to-face to remote instruction (please select all relevant options)? I had to move away from campus in the middle of the semester My physical or mental health deteriorated after we switched to remote instruction I missed face-to-face interaction with the instructor, the TAs and the undergrad assistant (SI) I did not have stable and reliable Internet connection at home I had a lot of distraction at home I lost my job/ income due to the COVID-19 epidemic I had to take an additional job to support myself and/ or my family Self-quarantine and/ or social distancing caused me a lot of stress The news about the COVID-19 epidemic and concerns about my health and the health of my loved ones caused me a lot of stress Other (please list) ___________. 8. Which of the following, do you think, impacted negatively your performance in this class during the transition from face-to-face to remote instruction (please select only one options)? I had to move away from campus in the middle of the semester My physical or mental health deteriorated after we switched to remote instruction I missed face-to-face interaction with the instructor, the TAs and the undergrad assistant (SI) I did not have stable and reliable Internet connection at home I had a lot of distraction at home I lost my job/ income due to the COVID-19 epidemic I had to take an additional job to support myself and/ or my family Self-quarantine and/ or social distancing caused me a lot of stress The news about the COVID-19 epidemic and concerns about my health and the health of my loved ones caused me a lot of stress Other (please list): 9. Based on your experience with this course’s transition from face-to-face to remote instruction for Spring Semester 2020, what aspects of this transition had greatest values for you? Open ended question: 10. Based on your experience with this course’s transition from face-to-face to remote instruction for Spring Semester 2020, what changes would you recommend to ease this transition in the future? Open ended question: 11. What is your gender? Male Female Other/ prefer not to disclose 12. What is your major? Political Science International Affairs Interdisciplinary/ Cyber Strategy and Policy Interdisciplinary/ Law and Society Another major (please specify) 13. What is your class level? First year (freshman) Second year (sophomore) Third year (junior) Fourth year (senior) 14. What is your race or ethnicity? White Black or African American Asian American Indian or Alaska Native Native Hawaiian or Pacific Islander International student Other 15. What do you think your grade will be for this course? A or A- B+, B or B- C+, C or C- D+, D or D- F Nor sure/ don't know
Creator/Author:: Ivanov, Ivan
Submitter:: Ivan Ivanov
Date Uploaded:: 05/14/2020
Date Modified:: 05/14/2020
Date Created:: 2020-05-13
License:: All rights reserved

Research projects—Art History Senior Seminar, Spring 2020

Type:: Student Work
Description/Abstract:: Documentation of research projects by art history Senior Seminar students, Spring Semester, 2020. DAAPworks, Spring, 2020.
Creator/Author:: Andrus, Kyla; Thomas, Morgan (editor); Pittman, Isabella; Pitney, Auturmn; Hensler, Devon ; Hamilton, Amy , and Applegate, Jazmine
Submitter:: Morgan Thomas
Date Uploaded:: 04/10/2020
Date Modified:: 05/12/2020
Date Created:: 2020-04-27

Addressing the School-to-Prison Pipeline: Advocates for Students

Type:: Student Work
Description/Abstract:: A strong implementation of zero-tolerance policy pushes students out of the classroom and into the world of criminal offense. Our curriculum will address these issues by equipping teachers and students alike to promote student voice in the classroom. Through bringing knowledge and creating awareness to race, class, gender, and sexuality, students will be enabled to furthermore act in a political manner for social justice.
Creator/Author:: Boggs, Jakob and King, Grant
Submitter:: smith4kk@ucmail.uc.edu
Date Uploaded:: 04/29/2020
Date Modified:: 05/11/2020
Date Created:: 2020-04

RDAP "Ask Me Anything" Townhall webinar “Thriving as a Data Information Professional”

Type:: Document
Description/Abstract:: The first webinar for the 2019-2020 RDAP year occurred on Oct 30th from 3:30 to 4:30 EST was “Ask me Anything” town hall meeting “Thriving as a Data Information Professional”. A panel of experienced data informational professional shared experiences and expertise answered questions about daily work as a data information professional. Panelists were: Wendy Mann - Geroge Mason (director of digital scholarship center) Lynda Kellam - UNC Greensbro, now at Cornell Megan Sapp Nelson - Purdue (data information literacy) Jon Wheeler - New Mexico (data curation librarian) Christie Ann Wiley - U of IL (research data services librarian) Notes were taken by Wanda Marsolek No recording is available
Creator/Author:: Koshoffer, Amy; Sapp Nelson, Megan ; Mann, Wendy ; Marsolek, Wanda ; Wiley, Christie Ann; Kellam, Lynda , and Wheeler, Jon
Submitter:: Amy Koshoffer
Date Uploaded:: 05/07/2020
Date Modified:: 05/07/2020
Date Created:: 2019-10-03
License:: Attribution-NonCommercial-NoDerivs 4.0 International

CNN Classifyication of Characters Presented to User with EEG Brain Activity as Input

Type:: Student Work
Description/Abstract:: Hypothesis: Electroencephalography and Artificial Neural Networks can be combined to read in a user’s EEG-based brain activity and then to correctly classify that activity. Goal: This research project aims to combine EEG (electroencephalography) and ANNs (artificial neural networks) by reading in a user's EEG-based brain activity and using an ANN to correctly classify that activity. This specific application aims to classify EEG data of a user being presented with digits (0-9) and letters (A-J). Process: The project goals are accomplished by building an EEG headset capable of collecting data, generating a labeled dataset (EEG activity is the data, character being presented is the label), and creating ANNs to analyze the labeled dataset. Results: The EEG headset based on the UltraCortex III from OpenBCI was successfully built. A data collection protocol was created, programs were coded to facilitate this data collection, and the dataset was successfully generated (3160 samples total, 158 samples/character). Several ANNs were created, and these networks were capable of learning and of overfitting on the data, but the classification on test data did not reach accuracy levels beyond chance (more time needs to be devoted in trying different networks and manipulating the data). Future work: Tasks which are recommended for continuing this project include adjusting network parameters of existing CNNs, trying a wider variety of neural network architectures, trying data mining techniques, extracting more features in different ways from the existing data, collecting more digit and letter EEG data, altering data collection process.
Creator/Author:: Chapko, Anastasiya
Submitter:: Anastasiya Chapko
Date Uploaded:: 05/02/2020
Date Modified:: 05/05/2020
Date Created:: 2020-04-28
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Student Engagement: A Progressive Approach

Type:: Student Work
Description/Abstract:: Abstract Student engagement is an important part of an effective and positive classroom. With research we will explore ways to create a more engaged learning environment. Through a progressive democratic curriculum we can create a space where the students interests and opinions are valued and implemented into the course work. Our curriculum seeks to prepare teachers with effective ways to embrace democracy and prepare them to manage and run an effective and fun classroom, where the voice of the student is heard, and students are fully engaged.
Creator/Author:: Shrout, Lauryn and Salzl, Ashe
Submitter:: smith4kk@ucmail.uc.edu
Date Uploaded:: 04/29/2020
Date Modified:: 05/04/2020
Date Created:: 2020-04

Creative Solutions for the Urban Classroom

Type:: Student Work
Description/Abstract:: Abstract The aim of this project is to address the issue of teacher attrition and lack of creativity in the classroom by involving teachers, students and members in the community through art education. The research will include mutually respectful dialogue, multicultural broad participation, flexible art forms that induce creativity, and empathetic interaction that embrace progressive values. This project will boost motivation of teachers and their job satisfaction hence leading to better teacher retention.
Creator/Author:: Rocha, Cristiane and Wiedmann, Olivia
Submitter:: smith4kk@ucmail.uc.edu
Date Uploaded:: 04/29/2020
Date Modified:: 05/01/2020
Date Created:: 2020-04

RDAP "Ask Me Anything" Townhall webinar “Using APIs for Non-Programmers”

Type:: Media
Description/Abstract:: This is a video recording of the RDAP webinar “Using APIs for Non-Programmers” held on April 22, 2020 @ 1:00 pm EST as part of the RDAP Town Hall “Ask Me Anything” series webinar. Webinar Description: Application programming interfaces -- "APIs" -- are a key way that systems make functionality and detailed information available. Long available only to software developers, modern APIs are quite accessible to the human user, even those with no programming skills! This webinar will cover: - why you might want to access APIs - how to formulate API requests using a web browser - how to do the same using other freely available tools - how to interpret and work with responses - how to translate API documentation to API requests - examples of APIs drawn from repository, preprint, and identifier systems - next steps to crawling information from APIs The webinar is specifically targeted at those working in libraries and library-like settings, who may want or even need to access APIs, but who have no programming or command line experience. Greg Janée is director of the Data Curation Program at the University of California, Santa Barbara, and a certified Carpentry instructor. He's been a researcher and developer in the areas of digital libraries and digital preservation for over twenty years. As a software developer, most recently he was the principal developer of the California Digital Library's EZID persistent identifier service; earlier, he was the principal developer of UCSB's Alexandria Digital Library, Gazetteer Protocol, and related technologies
Creator/Author:: Koshoffer, Amy and Janée, Greg
Submitter:: Amy Koshoffer
Date Uploaded:: 04/23/2020
Date Modified:: 04/23/2020
Date Created:: 2020-04-22
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Data Management for GIS

Type:: Media
Description/Abstract:: This video is the recording of the fourth webinar RDAP “Ask me Anything” town hall series entitled “Data Management for GIS projects”, held on February 26, 2020. It was jointly sponsored by RDAP and the University Consortium for Geographic Information Science (UCGIS). UCGIS was host this webinar. Webinar Description: With federal and other funding agencies wanting to ensure long term access to research output, data management planning for GIS projects has great importance. This webinar shares insight on lessons learned through GIS projects and highlights best practices for different steps in project exploration and creation. Also in this webinar, a geology researcher using GIS techniques and collecting geospatial data will explain how she communicated her use of best practices through a data management plan for a successfully funded NSF grant. Attendees will understand the importance of well-written data management plans, how to put those plans into action through implementing data management planning and reproducible research best practices, and how library engagement can help with data management planning. Presenters: Amy Koshoffer, University of Cincinnati; Jennifer Latessa, University of Cincinnati; and Paula Figueiredo, North Carolina State University Slide deck is also included. About UC–GIS: The University Consortium for Geographic Information Science (UCGIS) is a non-profit organization that creates and supports communities of practice for GIScience research, education, and policy endeavors in higher education and with allied institutions. We are the professional hub for the academic GIS community in the United States, with partnerships extending this capacity abroad.
Creator/Author:: Koshoffer, Amy; Paula Marques Figueiredo, and Jennifer Latessa
Submitter:: Amy Koshoffer
Date Uploaded:: 02/28/2020
Date Modified:: 02/28/2020
Date Created:: 2020-02-27
License:: Attribution-NonCommercial-NoDerivs 4.0 International

RDAP "Ask Me Anything" Townhall webinar "What is different about Clinical Data?"

Type:: Media
Description/Abstract:: This webinar was presented to the RDAP community on January 29, 2020 @ 1 pm EST. The goal of the webinar was to raise awareness of the special requirements of clinical data for data management. Managing data has a number of common principles that get applied to each subject domain. As a result, it’s easy to start consideration of data with a disciplinary subject and data structure. But in the health sciences and medicine there is a key issue that has to be asked first: Is it clinical research data? Before delving into metadata standards, FAIR principles, or sharing, a health sciences data librarian often starts with the clinical/nonclinical distinction. But what’s so special about clinical data? What do we even mean when we talk about clinical data? This session will introduce basic concepts in clinical data management, processes that are commonly used by researchers looking to do clinical data research. We will explore how a health sciences library can provide patron support on local infrastructure for accessing and using clinical data for research. We will also provide resources for further exploration by librarians and patrons. Attendees will come away with: (1) a better understanding of basic terminology and data workflows in clinical research data management; (2) a sense of typical workflows that happen with the clinical research data lifecycle; (3) an introduction to systems in clinical data collection and analysis, particularly REDCAP; and, (4) at least one answer to the question of “What’s different about clinical?” When it comes to data. Date: January 29, 2020 @ 1 pm EST Presenters: Nina Exner is the research data librarian at Virginia Commonwealth University, serving both the medical and core campuses. Before joining VCU in 2017, she was a Researcher and Grant Support Services librarian, supporting all disciplines. She received her Master’s in Library Science in 1997 from North Carolina Central University and her Ph.D. in information science from UNC-Chapel Hill in 2019. ORCID 0000-0002-8746-8364 Christy E Navarro joined UC Davis in August of 2019 as Health Library Informaticist at Blaisdell Medical Library. Prior to that she designed privacy programs for large health systems in California, helped implement ecosystems of research data sharing, developed best practice guidelines in data management, and served as the resource of choice for privacy, data de-identification, and research data questions. She brings 20 years of expertise in healthcare informatics, health information exchange, process improvement, program design, population health improvement, human subject research and patient & consumer privacy. Christy has a Master of Science in Health Informatics from UC Davis Health and a Bachelor of Science in Business with an emphasis in Management Information Systems from CSU Sacramento. Lori D Sloane has been working at the University of New Mexico Health Sciences Center since 1990. For the first 23 years, she has been the IT support for researchers on campus. Lori brought REDCap to the University of New Mexico as one of the first 13 sites to pilot this software. She transitioned into a Data Manager position for the Health Sciences Library and Informatics Center seven years ago.
Creator/Author:: Koshoffer, Amy; Sloane, Lori D ; Navarro, Christy E , and Exner, Nina
Submitter:: Amy Koshoffer
Date Uploaded:: 01/31/2020
Date Modified:: 02/21/2020
Date Created:: 2020-01-29
License:: Attribution-NonCommercial-NoDerivs 4.0 International

15 participants with dietary intake and measurements

Type:: Dataset
Description/Abstract:: Fifteen participants from one worksite setting, an academic medical research university, were engaged in a nutrition intervention beginning in March, 2019, lasting 12 weeks. They were measured for height, weight, circumferences (chest, iliac waist, mid-point waist, hips) blood pressure, and dietary intake X 3 at the start and after 3 months.
Creator/Author:: Leslie, Jamie
Submitter:: Jamie Leslie
Date Uploaded:: 01/31/2020
Date Modified:: 01/31/2020
Date Created:: 2019-04
License:: Open Data Commons Public Domain Dedication and License (PDDL)

RDAP "Ask Me Anything" Townhall webinar on Institutional Data Policies

Type:: Media
Description/Abstract:: This webinar was presented to the RDAP community on December 2, 2019 at 12 pm EST. The goal of the webinar was to hear from the RDAP community about their experiences with institutional research data policies that regulate the ownership, management, and transfer of research data in an institution. The webinar organizing committee was Sophie Hou, Amy Schuler, and Clara Liebot invited panelists were: Kristin Briney, Biology & Biochemistry Librarian, Caltech University, Heather Coates, Digital Scholarship & Data Management Librarian / Co-Director, Center for Digital Scholarship, Indiana University Purdue University Indianapolis, Abigail Goben, Information Services and Data Management Librarian Associate Professor, University of Illinois-Chicago, Jonathan Petters, University Libraries Data Management Consultant and Curation Services Coordinator, Virginia Polytechnic Institute and State University. Background/Use Case (provided by Clara Llebot of Oregon State University): I work in a research intensive university as the library data management specialist. I have worked occasionally on data policies during my time here, like when we wrote the policy that regulates dataset reviews in our institutional repository. These policies were usually flexible, informative, and a helpful tool for me. Earlier this year I was asked to be part of a committee that would create an institutional research data management policy in our institution. I was thrilled that the library was being asked to participate, and at the same time terrified that I had no idea what I was getting into. I have been generally interested in concepts around data ownership, the interactions between copyright and data, decision making regarding research data, etc., but I felt unprepared.An institutional research data policy is, from my perspective, a policy that affects a lot of people, and that has the potential of changing behaviors and research practices in a way that I am definitely not used to. We are still beginning the process of creating the policy, so right now what I have is mostly questions, not answers, about what an institutional research data policy should say. Main Discussion Questions: 1. Motivations for the policy Is an institutional research data policy necessary in any institution? What are the issues/gaps that we are trying to address through this policy? What should be the goal of an institutional research data policy? 2. Roles and responsibilities Who should be involved in creating this kind of policy? How should the faculty be involved in the creation of this policy? How should a research data policy be enforced? How should students be affected by this policy? 3. Outcomes of existing data policies What is the type of content addressed in an institutional research data policy? Should ownership be a part of it? Are research data policies encouraging or deterring open data? What can we do, when writing this type of policy, to make clear that the university supports open data? Or should this be in different policies? What are some examples of situations that are easier/better because there is a research data policy at an institution?
Creator/Author:: Koshoffer, Amy
Submitter:: Amy Koshoffer
Date Uploaded:: 12/03/2019
Date Modified:: 01/31/2020
Date Created:: 2019-12-02
License:: Attribution-NonCommercial-NoDerivs 4.0 International

The Latin Church Music Of Thomas Morley

Type:: Etd
Description/Abstract:: Abstract not available.
Creator/Author:: Baldwin, James Patrick
Submitter:: UC Libraries
Date Uploaded:: 03/26/2018
Date Modified:: 11/21/2019
Date Created:: 1976

Proposal of a Time Theory

Type:: Article
Description/Abstract:: A new formula has been developed that determines the passage of time. In the paper, this is particularized for cases of temporary dilation due to speed and gravity. Additionally, using the previous equation, an interpretation of the nature of black holes, their formation, growth, and dimension can be developed. Moreover, and based on all of the above, a different way of understanding mass and space is proposed. Which ultimately implies an alternative expression that relates mass and energy.
Creator/Author:: Viaña, Javier
Submitter:: Javier Viana
Date Uploaded:: 09/06/2019
Date Modified:: 09/06/2019
Date Created:: 2016-06-10

A Process Mining Approach to Improving Defect Detection of SysML Models

Type:: Article
Description/Abstract:: The development of complex and dependable systems like autonomous vehicles relies increasingly on the use of systems modeling language (SysML). In fact, SysML has become a de facto standard for systems engineering. With model-driven engineering, a SysML model serves as a reference for the early defect detection of the system under design: the earlier the errors are detected, the less is the cost of handling the errors. Mutation testing is a fault-based technique that has recently seen its applications to SysML behavioral models (e.g., state machine diagrams). Specifically, a system's state-transition design can be fed to a model checker where mutants are automatically generated and then killed against the desired design specifications (e.g., safety properties). In this paper, we present a novel approach based on process mining to improve the effectiveness and efficiency of the SysML mutation testing based on model checking. In our approach, the mutation operators are applied directly to the state machine diagram. These mutants are then fed as traces into a process mining tool and checked according to the event logs. Our initial results indicates that the process mining approach kills more mutants faster than the model checking method.
Creator/Author:: Alenazi, Mounifah; Niu, Nan, and Savolainen, Juha
Submitter:: Nan Niu
Date Uploaded:: 09/02/2019
Date Modified:: 09/05/2019
Date Created:: 2019-09-02
License:: Open Data Commons Attribution License (ODC-By)