NDSU Faculty/Staff Research & Scholarship
https://hdl.handle.net/10365/32201
2024-03-28T14:26:59ZA Summary of a Practice-Improvement Project Incorporating an Evidence-Based Tobacco and Nicotine Dependence Treatment Curriculum Into a Doctor of Nursing Practice Program
https://hdl.handle.net/10365/33260
A Summary of a Practice-Improvement Project Incorporating an Evidence-Based Tobacco and Nicotine Dependence Treatment Curriculum Into a Doctor of Nursing Practice Program
Doan, Jillian
This tool is based on a 2022 practice-improvement project incorporating an evidence-based tobacco and nicotine dependence treatment curriculum into North Dakota State University’s (NDSU) Doctor of Nursing Practice (DNP) program. This tool is intended as a guide for educational institutions or providers to incorporate into their curriculums to improve provider competencies and patient outcomes.
After completion of the tool, the students’ (a) motivation and confidence in helping people quit tobacco and (b) comfort with providing information about cessation medications, programs and services, and referrals for evidence-based tobacco cessation increased dramatically from pre-education to 2.5 months post-education for all questions.
2023-01-01T00:00:00ZUnlocking Drone Potential in the Pharma Supply Chain: A Hybrid Machine Learning and GIS Approach
https://hdl.handle.net/10365/33224
Unlocking Drone Potential in the Pharma Supply Chain: A Hybrid Machine Learning and GIS Approach
Bridgelall, Raj
In major metropolitan areas, the growing levels of congestion pose a significant risk of supply chain disruptions by hindering surface transportation of commodities. To address this challenge, cargo drones are emerging as a potential mode of transport that could improve the reliability of the pharmaceutical supply chain and enhance healthcare. This study proposes a novel hybrid workflow that combines machine learning and a geographic information system to identify the fewest locations where providers can initiate cargo drone services to yield the greatest initial benefits. The results show that by starting a service in only nine metropolitan areas across four regions of the contiguous United States, drones with a robust 400-mile range can initially move more than 28% of the weight of all pharmaceuticals. The medical community, supply chain managers, and policymakers worldwide can use this workflow to make data-driven decisions about where to access the largest opportunities for pharmaceutical transport by drones. The proposed approach can inform policies and standards such as Advanced Air Mobility to help address supply chain disruptions, reduce transportation costs, and improve healthcare outcomes.
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM).
2023-01-01T00:00:00ZData-Driven Deployment of Cargo Drones: A U.S. Case Study Identifying Key Markets and Routes
https://hdl.handle.net/10365/33223
Data-Driven Deployment of Cargo Drones: A U.S. Case Study Identifying Key Markets and Routes
Bridgelall, Raj
Electric and autonomous aircraft (EAA) are set to disrupt current cargo-shipping models.
To maximize the benefits of this technology, investors and logistics managers need information on
target commodities, service location establishment, and the distribution of origin–destination pairs
within EAA’s range limitations. This research introduces a three-phase data-mining and geographic
information system (GIS) algorithm to support data-driven decision-making under uncertainty. Ana-
lysts can modify and expand this workflow to scrutinize origin–destination commodity flow datasets
representing various locations. The algorithm identifies four commodity categories contributing to
more than one-third of the value transported by aircraft across the contiguous United States, yet only
5% of the weight. The workflow highlights 8 out of 129 regional locations that moved more than 20%
of the weight of those four commodity categories. A distance band of 400 miles among these eight
locations accounts for more than 80% of the transported weight. This study addresses a literature
gap, identifying opportunities for supply chain redesign using EAA. The presented methodology can
guide planners and investors in identifying prime target markets for emerging EAA technologies
using regional datasets.
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM).
2023-01-01T00:00:00ZA Critical Discourse Analysis of Higher Education President’s Email Communications in 2020 and 2021
https://hdl.handle.net/10365/33185
A Critical Discourse Analysis of Higher Education President’s Email Communications in 2020 and 2021
Parson, Laura (Laura Jayne)
Email communications from presidents to faculty, students, and staff communicate institutional priorities; they play an important role in shaping the ways that power, ideology, and influence are constructed and replicated across the institution (Serrano, 2018; McNaughtan & McNaughtan, 2018; Eddy, 2003; 2005; Briscoe, 2022). In this study, I explored presidential email communications sent between June 2020 and November 2021 across 11 public institutions in the United States. Eddy (2005; 2005) argued that university presidents have a responsibility to communicate as sense-makers during crises to help direct the campus conversation and to set the institutional agenda. As such, I sought better understanding of the nature of Higher Education presidential communications to expand knowledge of presidential communication styles and approaches to communicating institutional priorities. Specifically, using a Critical Discourse Analytic approach to data analysis, I sought to understand how the language used in emails were indicative of presidential and institutional priorities and if and how linguistic tool usage were utilized differently according to the topic.
0004-01-01T00:00:00Z