Digital Commons Network^™

Mapping And Making Meaning From Undergraduate Student Engagement In High-Impact Educational Practices, Bridget G. Trogden, Cazembe Kennedy, Nathan K. Biyani

Publications

Institutions of higher education often have multiple entry points for first-time and transfer college students to engage in high-impact educational practices (HIPs), well documented to advance student learning outcomes. Some students may seek out repeated opportunities while others engage very little or not at all in activities such as student-faculty research, study abroad, internships, first-year cohort programs, service-learning, and the like. When institutions maintain decentralized data and records on students’ participation, obtaining a true understanding of the "who, what, when, and where" of HIPs can be difficult. In this paper, we present an institutional strategy for longitudinal collection of data …

Challenges In Kinetic-Kinematic Driven Musculoskeletal Subject-Specific Infant Modeling, Yeram Lim, Victor Huayamave, Tamara Chambers, Christine Walck, Safeer Siddicky, Erin Mannen

Publications

Musculoskeletal computational models provide a non-invasive approach to investigate human movement biomechanics. These models could be particularly useful for pediatric applications where in vivo and in vitro biomechanical parameters are difficult or impossible to examine using physical experiments alone. The objective was to develop a novel musculoskeletal subject-specific infant model to investigate hip joint biomechanics during cyclic leg movements. Experimental motion-capture marker data of a supine-lying 2-month-old infant were placed on a generic GAIT 2392 OpenSim model. After scaling the model using body segment anthropometric measurements and joint center locations, inverse kinematics and dynamics were used to estimate hip ranges …

The Replacement Rule For Nonlinear Shallow Water Waves, A. Ludu, Z. Zong

Publications

When a (1 + 1)-dimensional nonlinear PDE in real function η(x, t) admits localized traveling solutions we can consider L to be the average width of the envelope, A the average value of the amplitude of the envelope, and V the group velocity of such a solution. The replacement rule (RR or nonlinear dispersion relation) procedure is able to provide a simple qualitative relation between these three parameters, without actually solve the equation. Examples are provided from KdV, C-H and BBM equations, but the procedure appears to be almost universally valid for such (1 + 1)-dimensional nonlinear PDE and their …

Retention Of Qualified Cybersecurity Professionals: A Qualitative Study, Andrew Ishmael, Leila Halawi

Publications

The current endeavors to retain cybersecurity professionals are not enough to sustain the needs of the U.S. workforce. The researchers aim to explore retention strategies for qualified cybersecurity professionals supporting U.S. government contracts at a leading global security company. The researchers interviewed a sample of qualified cybersecurity professionals supporting U.S. government contracts to get essential information on retention in the cybersecurity profession. The researchers proposed four distinct pillars to make up the strategic framework for retaining qualified cybersecurity professionals.

Adapt Lake Mead Releases To Inflow To Give Managers More Flexibility To Slow Reservoir Draw Down, David E. Rosenberg

Publications

A 20-year Colorado River drought continues and Lake Mead draws down. As Lake Mead falls through 8 elevation tiers to 1,020 feet (5.7 million acre-feet [maf]), releases drop and mandatory water conservation targets for California, Arizona, Nevada, and Mexico grow to 1.375 maf per year (USBR, 2019). How will different reservoir inflows, releases, and additional water conservation efforts beyond mandatory targets speed or slow Lake Mead draw down, stabilization, and recovery?

Using Small Uas For Stem Education: Introducing Robotics And Mechatronics With Drones, Christian Janke, Kimberly Luthi, Stefan Kleinke, Yuetong Lin

Publications

Several global developments point to importance of STEM-related education and studies. Every industry sector faces challenges in the recruiting of qualified personnel, due to retiring employees and general economic growth. Also, several domains, foremost automotive and aviation are undergoing a tremendous shift towards electrification to achieve sustainability. Hence, sparking the interest in STEM studies, education and vocational training cannot start early enough. This paper introduces the benefits of the educational use of sUAS by identifying core benefits in the three domains of learning – cognitive, affective, psycho-motor. Preliminary data and survey results from from several science, technology, engineering and math …

Service-Learning In Undergraduate General Chemistry: A Review, Emily Faulconer, C. J. Y. Kam

Publications

Background: Service-learning is gaining recognition as a valuable pedagogy for students to gain both academic and psychosocial benefits. This high-impact practice allows students to achieve course learning objectives while contributing to their community's needs. A review from 2007 revealed a lack of research focused on the topic in the prior decade, despite the interest that was shown by the American Chemical Society in 2000. Purpose: This review of recent case studies on the topic provides future researchers and practitioners with an understanding of the current state of service-learning in undergraduate chemistry courses. Methodology/Approach: To create a representative sample of recent …

Remote Vascular Interventional Surgery Robotics: A Literature Review, Yang Zhao, Ziyang Mei, Xiaoxiao Luo, Jingsong Mao, Qingliang Zhao, Gang Liu, Dezhi Wu

Publications

Vascular interventional doctors are exposed to radiation hazards during surgery and endure high work intensity. Remote vascular interventional surgery robotics is a hot research field, in which researchers aim to not only protect the health of interventional doctors, but to also improve surgical accuracy and efficiency. However, the current vascular interventional robots have numerous shortcomings, such as poor haptic feedback, few compatible surgeries and instruments, and cumbersome maintenance and operational procedures. Nevertheless, vascular interventional surgery combined with robotics provides more cutting-edge directions, such as Internet remote surgery combined with 5G network technology and the application of artificial intelligence in surgical …

Vulnerable Vegetables And Efficient Fishers: A Study Of Primary Production Food Losses And Waste In Ireland, Tracey O'Connor, Rosanna Kleeman, Jennifer Attard

Publications

From 2022, the European Union Waste Framework Directive (WFD) requires member states to report annual food waste from each food supply chain stage. Comprehensive food losses and waste (FLW) data can be challenging to obtain for the primary production stage, i.e., farming and fishing. However, this information is vital in developing FLW mitigation actions appropriate to each country. This study describes the nature and extent of FLW from primary production in Ireland, using methods approved for WFD reporting. Causes of FLW and FLW as a proportion of total production were determined through interviews with Irish primary production stakeholders and using …

The Effect Of Pre-Thermal And -Load Conditions On In-718 High Temperature Fatigue Life, Paulina De La Torre, Alberto Mello

Publications

Ni-based superalloys are largely used in the aerospace industry as critical components for turbine engines due to their excellent mechanical properties and fatigue resistance at high temperatures. A hypothesis to explain this atypical characteristic among metals is the presence of a cross-slip mechanism. Previous work on the role of thermal activation on cubic slip has shown strain accommodation in two sets of slip planes, which resembled the activation of {100} cubic slip systems along of the octahedral slip planes {111} in Ni-based superalloys under high strain and temperature, exhibiting a more homogeneous strain distribution and less strain localization. Following those …

Cross-Omics Analysis Of Fenugreek Supplementation Reveals Beneficial Effects Are Caused By Gut Microbiome Changes Not Mammalian Host Physiology, Katarina A. Jones, Allison J. Richard, J Michael Salbaum, Susan Newman Phd, Rn, Crrn, Faan, Richard Carmouche, Sara Webb, Annadora J. Bruce-Keller, Jacqueline M. Stephens, Shawn R. Campagna

Publications

Herbal remedies are increasing in popularity as treatments for metabolic conditions such as obesity and Type 2 Diabetes. One potential therapeutic option is fenugreek seeds (Trigonella foenum-graecum), which have been used for treating high cholesterol and Type 2 diabetes. A proposed mechanism for these benefits is through alterations in the microbiome, which impact mammalian host metabolic function. This study used untargeted metabolomics to investigate the fenugreek-induced alterations in the intestinal, liver, and serum profiles of mice fed either a 60% high-fat or low-fat control diet each with or without fenugreek supplementation (2% w/w) for 14 weeks. Metagenomic analyses of intestinal …

Cross-Omics Analysis Of Fenugreek Supplementation Reveals Beneficial Effects Are Caused By Gut Microbiome Changes Not Mammalian Host Physiology, Katarina A. Jones, Allison J. Richard, J Michael Salbaum, Susan Newman Phd, Rn, Crrn, Faan, Richard Carmouche, Sara Webb, Annadora J. Bruce-Keller, Jacqueline M. Stephens, Shawn R. Campagna

Publications

Herbal remedies are increasing in popularity as treatments for metabolic conditions such as obesity and Type 2 Diabetes. One potential therapeutic option is fenugreek seeds (Trigonella foenum-graecum), which have been used for treating high cholesterol and Type 2 diabetes. A proposed mechanism for these benefits is through alterations in the microbiome, which impact mammalian host metabolic function. This study used untargeted metabolomics to investigate the fenugreek-induced alterations in the intestinal, liver, and serum profiles of mice fed either a 60% high-fat or low-fat control diet each with or without fenugreek supplementation (2% w/w) for 14 weeks. Metagenomic analyses of intestinal …

Using Machine Learning In Estimating Changing Bed Shear Over A Flume Test Box, Ghada S. Ellithy, Siddharth S. Parida

Publications

A dam or levee breach caused by overflow erosion is difficult to evaluate during an overtopping event due to difficulty in accessibility and quickly changing conditions. However, for assessment of risk associated with breach time and ensuing downstream consequences, the erosion rate of embankment soils during this process needs to be evaluated. Soil erosion and water depth measurements were taken during flume tests using a Shallow Water Lidar (SWL) system scans. The tests were conducted in a 1-m-wide tilting flume on three cleans and gravel soil mixes with a median grain size D50of 2, 5,and 20 mm. The box measured …

Exploring The Future Of Human Factors Education; Online Learning, Moocs, Next Generation Standards, And The Technological Skills We Need To Impart, Christina M. Frederick, Nathan Sonnenfeld, Heather C. Lum, Susuan Amato-Henderson, Thomas J. Smith, Kelly S. Steelman

Publications

The objective of this panel was to examine how the future of human factors education is changing given the influx of technology, a push for online learning, and adapting to the changing market. The panel will begin by Heather Lum briefly giving an overview and the precipice for this discussion panel. The panelists then provided their views and experiences regarding this topic. Kelly Steelman will discuss the potential for MOOCs and other online formats to create faster and more flexible postgraduate programs. Christina Frederick will discuss her perspectives on the technological skills we should be equipping our human factors graduates …

Influence Of Cold Expansion And Aggressive Environment On Crack Growth In Aa2024-T3, Ken Shishino, Christopher Leirer, Alberto Mello

Publications

This research aims to establish the effect of hole cold expansion on fatigue life of pre-cracked material under aggressive environment. A relationship between crack propagation and secondary crack initiation was established for AA2024-T3 cold worked holes subjected to cyclic loads to determine the impact on fatigue life of joints in presence of saline solution. Galvanic corrosion of a steel fastener/aluminum plate assembly was investigated assuming the presence of cracks in the aluminum plates, whose growth will be monitored in-situ with a digital microscope throughout the fatigue process. The cold expansion treatment improved the fatigue life fourfold under a corrosive environment, …

Mapping Bacterial Biofilm On Features Of Orthopedic Implants In Vitro, Kelly Moore, Niraj Gupta, Tripti Thapa Gupta, Khushi Patel, Jacob R. Brooks, Anne Sullivan, Alan S. Litsky, Paul Stoodley

Publications

Implant-associated infection is a major complication of orthopedic surgery. One of the most common organisms identified in periprosthetic joint infections is Staphylococcus aureus, a biofilm-forming pathogen. Orthopedic implants are composed of a variety of materials, such as titanium, polyethylene and stainless steel, which are at risk for colonization by bacterial biofilms. Little is known about how larger surface features of orthopedic hardware (such as ridges, holes, edges, etc.) influence biofilm formation and attachment. To study how biofilms might form on actual components, we submerged multiple orthopedic implants of various shapes, sizes, roughness and material type in brain heart infusion broth …

A Guide To Creating Core Ocean Gdp Accounts, Charles S. Colgan

Publications

Start with a simple question. What does the ocean contribute to the national economy? This might seem like a trivial question. After all, the contributions of other major natural resources such as agriculture or forest products are regularly counted as the output of farming, food, and fibre industries along with lumber and other forest products. But in most countries, there is no identifiable “ocean economy”. Industries like marine transportation or fishing are accounted for, but nothing that ties all the varied ocean-related economic activity together. Without a deliberate effort to identify and measure all relevant economic activity related to the …

Teacher Enactment Of The Geospatial Inquiry Cycle In Classrooms Following Scaled Up Professional Learning And Development, Brooke A. Whitworth, Lori Rubino-Hare, Francis Boateng, Anne Hamlin, Nena E. Bloom, Eric Nolan

Publications

The current study examined the effects of a nationally scaled up Professional Learning and Development (PLD) model on teachers’ classroom implementation of the Geospatial Inquiry instructional framework. Geospatial Inquiry is defined as: asking and answering a research question through the analysis and communication of data that is linked to a geographic location on, above, or near Earth. These data are often represented visually via maps and explored with geospatial technologies. It also examined the relationships between Geospatial Inquiry Teacher Workshop (GITW) implementation and teacher implementation of the Geospatial Inquiry Cycle. Situated cognition provided a theoretical framework for the design, development, …

Using Knowledgeable Agents Of The Digital And Data Feminism To Uncover Social Identities In The #Blackgirlmagic Twitter Community, Golnaz Arastoopour Irgens

Publications

Online spaces have the capacity to be powerful informal learning and identity development spaces for marginalized communities. However, there is still much work to be done to uncover these complex social identities using ethical big data analyses. In this study, I draw on the theory of Knowledgeable Agents of the Digital, data feminism, and critical reflexivity practices to engage with a #blackgirlmagic Twitter dataset from 2016 to 2019. Using Epistemic Network Analysis, findings suggest that the #blackgirlmagic community self-defined their social identities around Black beauty, academic/professional accomplishments, and social justice. Because the women and girls of #blackgirlmagic were agentive in …

Using Online Videos To Improve Attitudes Toward Shared Automated Vehicles: Age And Video Type Differences, Kathryn Baringer, D. J. Souders, J. Lopez

Publications

Introducing shared automated vehicles (SAVs) should lead to several societal benefits, but both automated vehicles (AVs) and ridesharing must overcome barriers to acceptance. Previous research has investigated age differences in ridesharing usage and factors influencing acceptance of AVs. We investigate age differences in how two online introductory videos (educational or experiential) affect anticipated SAV acceptance. Participants in three different age groups were randomly assigned to watch 1.) an educational video about SAV technologies and potential benefits, 2.) an experiential video showing a SAV navigating traffic, 3.) both the experiential and educational videos, or 4.) a control video explaining how current …

Field Retrofit And Testing Of A Corroded Metal Culvert Using Gfrp, Mahmoud Reda Taha, Susan Bogus, Mohammed Abdellatef, Daniel Heras Murcia

Publications

One of the current pressing problem for all DOTs is the corrosion-oriented deterioration of the existing metal culverts. These metal culverts typically are designed for a life of 50 years. However, corrosion is making them last no longer than 30years. Here we propose use of Glass Fiber Reinforced Polymers (GFRP) pipe section as a fit-in GFRP profile liner for complete repair and rehabilitation of the corroded metal culvert with an expected life of 75 years. This is mainly because of the corrosion free nature of the GFRP material. In the current study, the design method for using glass fiber-reinforced polymer …

Ai-Based Innovation In B2b Marketing: An Interdisciplinary Framework Incorporating Academic And Practitioner Perspectives, Maria Petrescu, Anjala S. Krishen, Sheen Kachen, John T. Gironda

Publications

Artificial intelligence (AI) rests at the frontier of technology, service, and industry. AI research is helping to reconfigure innovative businesses in the consumer marketplace. This paper addresses existing literature on AI and presents an emergent B2B marketing framework for AI innovation as a cycle of the critical elements identified in cross-functional studies that represent both academic and practitioner strategic orientations. We contextualize the prevalence of AI-based innovation themes by utilizing bibliometric and semantic content analysis methods across two studies and drawing data from two distinct sources, academics, and industry practitioners. Our findings reveal four key analytical components: (1) IT tools …

The Breathing Human Infrastructure: Integrating Air Quality, Traffic, And Social Media Indicators, Heather O'Leary, Scott Parr, Marwa El-Sayed

Publications

Outdoor air pollution is a complex system that is responsible for the deaths of millions of people annually, yet the integration of interdisciplinary data necessary to assess air quality's multiple metrics is still lacking. This case study integrates atmospheric indicators (concentrations of criteria pollutants including particulate matter and gaseous pollutants), traffic indicators (permanent traffic monitoring station data), and social indicators (community responses in Twitter archives) representing the interplay of the three critical pillars of the United Nations' Triple Bottom Line: environment, economy, and society. During the watershed moment of the COVID-19 pandemic lockdowns in Florida, urban centers demonstrated the gaps …

Online Undergraduate Research In Science, Technology, Engineering, And Mathematics Courses, Emily K. Faulconer

Publications

What constitutes research can vary across fields. Even within science, technology, engineering, and mathematics (STEM) disciplines, the definition of research is flexible. For example, although science research and engineering research use similar methods and both produce valuable insights into the nature of our physical world, they have notably different focuses, with sciences aimed at expanding the outer edges of our knowledge and engineering fixed on systematic structuring of knowledge for application (National Academy of Engineering, 1995). Regardless of the STEM discipline, undergraduate research is a mentored experience in which students engage in original work, disseminating their outcomes to a larger …

Dbgc: Dimension-Based Generic Convolution Block For Object Recognition, Chirag Patel, Dulari Bhatt, Urvashi Sharma, Radhika Patel, Sharnil Pandya, Kirit Modi, Nagaraj Cholli, Akash Patel, Urvi Bhatt, Muhammad Ahmed Khan, Shubhankar Majumdar, Mohd Zuhair, Khushi Patel, Syed Aziz Shah, Hemant Ghayvat

Publications

The object recognition concept is being widely used a result of increasing CCTV surveillance and the need for automatic object or activity detection from images or video. Increases in the use of various sensor networks have also raised the need of lightweight process frameworks. Much research has been carried out in this area, but the research scope is colossal as it deals with open-ended problems such as being able to achieve high accuracy in little time using lightweight process frameworks. Convolution Neural Networks and their variants are widely used in various computer vision activities, but most of the architectures of …

Iseeq: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval And Knowledge Graphs, Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin

Publications

Conversational Information Seeking (CIS) is a relatively new research area within conversational AI that attempts to seek information from end-users in order to understand and satisfy users’ needs. If realized, such a system has far-reaching benefits in the real world; for example, a CIS system can assist clinicians in pre-screening or triaging patients in healthcare. A key open sub-problem in CIS that remains unaddressed in the literature is generating Information Seeking Questions (ISQs) based on a short initial query from the end user. To address this open problem, we propose Information SEEking Question generator (ISEEQ), a novel approach for generating …

Thermoforming Process Effects On Structural Performance Of Carbon Fiber Reinforced Thermoplastic Composite Parts Through A Manufacturing To Response Pathway, Madhura Limaye, Sai Aditya Pradeep, Anmol Kothari, Sushil Savla, Akshat Agha, Srikanth Pilla, Gang Li

Publications

Thermoforming process of thermoplastic-based continuous CFRP's offer a major advantage in reducing cycle times for large-scale productions, but it can also have a significant impact on the structural performance of the parts by inducing undesirable effects. This necessitates the development of an optimal manufacturing process that minimizes the introduction of undesirable factors in the structure and thereby achieves the targeted mechanical performance. This can be done by first establishing a relationship between the manufacturing process and mechanical performance and successively optimizing it to achieve the desired targets. The current study focuses on the former part, where a manufacturing-to-response (MTR) pathway …

Application Of Nonlinear Time Series And Machine Learning Algorithms For Forecasting Groundwater Flooding In A Lowland Karst Area, Bidroha Basu, Patrick Morrissey, Laurence Gill

Publications

In karst limestone areas interactions between ground and surface waters can be frequent, particularly in low lying areas, linked to the unique hydrogeological dynamics of that bedrock aquifer. In extreme hydrological conditions, however, this can lead to wide-spread, long-duration flooding, resulting in significant cost and disruption. This study develops and compares a nonlinear time-series analysis based nonlinear autoregressive model with exogenous variables (NARX), machine learning based near support vector regression as well as a linear time-series ARX model in terms of their performance to predict groundwater flooding in a lowland karst area of Ireland. The models have been developed upon …

The Data Analytics And The Science Revolution, Leila Halawi, Amal Clarke, Kelly George

Publications

This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline and business environment, and compare several different modeling techniques. They decipher complex algorithms to demonstrate how they …

Data Types Structure And Data Preparation Process, Leila Halawi, Amal Clarke, Kelly George

Publications

Learning Objectives

• Identify the different data types and measurements

• Identify the need for data and data sources

• Explain data partitioning and honest assessment

• Identify the necessity of data preparation and curation

• Identify the data preparation process

• Explore SAS VIYA platform and import data