This pilot study extends nursing’s historical efforts to prevent medication errors by using a database research approach to better understand why medication errors persist in acute care settings. The pilot study was conducted 3 units and float pool nurses. Data were analyzed using descriptive statistics and multilevel regression modeling.

Twitter is one of the major social media platforms highlighting public opinion. With over 330 million users across the globe, Twitter provides insights into global sentiments on many topics. One can estimate global sentiments towards certain events relating to COVID-19 by analyzing the most common phrases and their related sentiment scores from Twitter API data. This project has compiled the most used trigrams in tweets relating to COVID-19 to calculate sentiment scores for the period from March 22 to August 7, 2020. Another goal of the project is to optimize data collection from Twitter API. Twitter limits access to tweet contents to 900 requests per 15 minutes for unpaid API users. For student data scientists, paying for increased API usage is financially infeasible. So, to deal with the rate limit, the project has written functions using the Tweepy python library to collect Twitter API data. The Pandas library has also been used to sample 139000 tweets from over 300 million. The IEEE Dataset provided sentiment scores for the full population. So, to check the integrity of my sample, I performed a Pearson correlation test between the full dataset and sample data, and got 0.84, showing the sample is representative of …

Poster presented at the 2012 International iConference. This poster discusses building digital information curation curriculum, as part of the iCAMP project.

Poster exploring the approach to understand information behavior of communities speaking endangered languages.

Presented at the 2017 International Conference on Dublin Core and Metadata Applications. This poster presents the graduate metadata courses offered by the University of North Texas and reports a case study of an experiment in the design of an advanced graduate metadata course.

Poster for the 2017 International Conference on Knowledge Management. This poster discusses classroom teachers' perception about academic versus creative giftedness.

In order to perform research data triangulation, there were three main sources of data: 1. External/Internal Survey of 15 Library Directors (5 in the Navy; 10 from Government/Universities), 2. Literature Review/Industry Best Practices, and 3. Navy Lab Interviews (Ten) . The results include "Harvest” the personal collections of classified and other materials (reach out to the end users to put documents in library repository); Need to modernize our workflow; Having research material that can be easily accessed for desktops; Need to share information and knowledge; Focus on the needs of your community and evolve with those needs.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This poster demonstrates the GuruScan in a practical interactive session. The presenter setup an online GuruScan Knowledge Booster, so audience can experience the power and speed of Expert created knowledge connections themselves.

Double-sided flyer with photographs of displayed fruits, vegetables, and spices with Lamkang labels identifying each item.

Business competition increasingly involves entire supply chains (SCs) rather than individual firms. Thus, knowledge, which is a strategic resource for companies, needs to be managed properly not only in single firms, but also at inter-firm level and in SCs, so that companies can coordinate and co-manage resources, activities, and innovative efforts in collaboration with their partners for improved competitiveness. To this end, knowledge management (KM) practices and their adoption for the effective management of SC inter-firm relationships can be of great help, but the current studies on this aspect are very fragmented, and there is still insufficient knowledge of what practices are adopted to manage knowledge in inter-firm relationships and how intensely these are used. This study contributes to filling this gap by measuring the adoption and intensity of KM practices and comparing their use at the intra- and inter-firm level. A survey of a sample of European large and medium-sized manufacturing firms was used. A descriptive statistical analysis and a correlation analysis were performed on the collected data. The study confirms that KM practices are less used at the inter-firm level. Also, a relative higher variation is depicted among firms in the use of the proposed practices at inter-firm …

Poster from the 2019 meeting on "Voices in Dangerous Times: Language Endangerment & Political Instability." This poster describes linguistic genocide as demonstrated through education.

This poster was present at the DFW Metroplex Linguistics Conference at the University of North Texas main campus in Denton, Texas on November 8,2019. The poster highlights a preliminary linguistic framework for describing kanji.

Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.

Poster for the 2017 International Conference on Knowledge Management. This poster explores the use of artificial intelligence in business to improve organizational effectiveness.

Poster discusses study exploring the possibility of using Linked Open Data to predict semantic relationships between items in a Literature-Based Knowledge Discovery (LBKD) model.

This paper describes an on-going research project examining currently used processes in both hospitals and EHR vendor companies for identifying, prioritizing, and mitigating electronic health record (EHR) software issues, and usability issues, that may compromise patient safety as they arise in the implemented or legacy EHR system. This on-going project includes 3 interviews with CMIOs at hospitals and 3 interviews with EHR vendors. Next steps include surveying both groups. The project can be considered as part of a learning health system (LHS) approach in that it seeks to identify best practices in terms of the process for addressing these EHR issues. The LHS approach seeks to improve long term outcomes in health care by identifying optimal delivery processes and to do so in a systematic, rather than a haphazard way. (Friedman & Rigby, 2013).

Poster for the 2018 International Conference on Knowledge Management. This poster models scholarly browsing.

Poster from the 2019 meeting on "Voices in Dangerous Times: Language Endangerment & Political Instability." This poster examines sociopolitical identity and language choice.

Poster presents an idea for multimodal information spaces, with texts, sounds, and images, which can provide a set of structured information geared towards professional training.

Poster from the 2019 meeting on "Voices in Dangerous Times: Language Endangerment & Political Instability." This poster describes the politics behind the creation of a language policy for use in Ghana.

Poster for an event held by the Smithsonian Center for Folklife & Cultural Heratage called Voices in Dangerous Times: Language Endangerment & Political Violence.

Poster presentation on vowels in Lamkang.

Poster discussing a preliminary literature review of visual information accessibility for blind and visually impaired individuals.

This poster discusses preparing, creating, and managing a large dataset of MARC 21 records. The MARC Content Designation Utilization (MCDU) Project is examining catalogers' utilization of available MARC 21 content designation (e.g., fields/subfields). A critical component of this project is the development of methods, procedures, and software tools for reliable and valid analyses of the complete WorldCat database of more than 56 million MARC 21 records.