UNT Scholarly Works - 7 Matching Results

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open access

Research Teams: Fostering Scholarship and Practice

Description: This workshop is presented by members of a University of North Texas research team. First, the team will overview their experience as members of the research team and share experience in areas such as trust formation, team roles, productivity, work-life balance, faculty-students interaction, peer and faculty mentorship, dissertation preparation, and job seeking. Second, the workshop will discuss and brainstorm how this format can be implemented for organizations both with faculty-student teams … more
Date: June 2022
Creator: Allen, Jeff M., 1968-; Khader, Malak; Njeri, Millicent & Rosellini, Amy
Item Type: Refine your search to only Text
Partner: UNT College of Information
open access

3D-printed and injection molded polymer matrix composites with 2D layered materials

Description: This article reports on a study where 2D TMDs (MoS₂ and WS₂) and the 3D allotrope of carbon and graphite were incorporated into acrylonitrile butadiene styrene (ABS) and polyethylene terephthalate glycol (PETG) matrices in order to form polymer matrix composites (PMCs). The multipronged analysis described in this study was motivated by the purpose to fuse together topics of low-cost, additive manufacturing with 2D layered materials, and studying their ensuing mechanical and tribological propert… more
Date: June 26, 2020
Creator: Gamboa, Gerardo; Mazumder, Sangram; Hnatchuk, Nathalie; Catalan Gonzalez, Jorge Alfredo; Cortes, Damaris; Chen, Ikang et al.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Social Media and People Perception of Global Warming During Critical Environmental Events: the Impact of Misinformation through the Lens of Social Noise

Description: Global warming is the term used to describe critical environmental issues and concerns. Social media such as Twitter provides a platform for people to share information, exchange ideas, and express their opinions about current and timely issues. This study utilized contextual analysis to analyze data collected from Twitter for the hashtag "global warming" during the period 2010 & 2011. Using sentiment analysis and topic modeling, the study aimed first at assessing people's perception towards gl… more
Date: June 2022
Creator: Madali, Nayana Pampapura; Alsaid, Manar & Hawamdeh, Suliman M.
Item Type: Refine your search to only Text
Partner: UNT College of Information
open access

An Interactive Web-Based Dashboard to Examine Trending Topics: Application to Financial Journals

Description: Understanding trends is helpful to identify future behaviors in the field, and the roles of people, places, and institutions in setting those trends. Although traditional clustering strategies can group articles into topics, these techniques do not focus on topics over limited timescales; additionally, even when articles are grouped, the generated results are extensive and difficult to navigate. To address these concerns, we create an interactive dashboard that helps an expert in the field to b… more
Date: June 2022
Creator: Phan, Ngoc; Madali, Nayana Pampapura; Behpour, Sahar & Xiao, Ting
Item Type: Refine your search to only Text
Partner: UNT College of Information
open access

Abraham Model Correlations for Describing Solute Transfer into 2-Butoxyethanol from Both Water and the Gas Phase at 298 K

Description: Article on Abraham model correlations for describing solute transfer into 2-butoxyethanol from both water and the gas phase at 298 K.
Date: June 3, 2015
Creator: Sedov, Igor A.; Stolov, Mikhail; Hart, Erin; Grover, Damini; Zettl, Heidi; Koshevarova, Victoria et al.
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
open access

Stock2Vec: An Embedding to Improve Predictive Models for Companies

Description: Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company … more
Date: June 2022
Creator: Yi, Ziruo; Xiao, Ting; Kaz-Onyeakazi, Ijeoma; Ratnam, Cheran; Medeiros, Theophilus; Nelson, Phillip et al.
Item Type: Refine your search to only Text
Partner: UNT College of Information
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