Digital Commons Network^™

Testing The Reliability Of X-Rays As A Tool For Constraining Mass-Loss Rates Of Hot Stars, Sean J. Gunderson, Kenneth G. Gayley, Pragati Pradhan, David P. Huenemoerder, Nathan A. Miller

Publications

We fit a new line shape model to Chandra X-ray spectra of the O supergiant ζ Puppis to test the robustness of mass-loss rates derived from X-ray wind line profiles against different assumed heating models. Our goal is to track the hot gas by replacing the common assumption that it is proportional to the cool gas emission measure. Instead of assuming a turn-on radius for the hot gas (as appropriate for the line-deshadowing instability internal to the wind), we parametrize the hot gas in terms of a mean-free path for accelerated low-density gas to encounter slower high-density material. This alternative …

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 …

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 …

Mathematics From Scratch: Learning With Coding, Kimberly Beck, Jessica F. Shumway, Jody Clarke-Midura

Publications

Implementing successful cross-curricular lessons is challenging but possible. Participants in this session will learn about a partnership between Utah State University, Cache County School District, and Stanford University that has designed and implemented successful integrated mathematics-computer science lessons. Attendees will hear from researchers and in-service teachers on their experience with designing and carrying out the curriculum and will have an opportunity to view and interact with the computer programs that students used.

3d Numerical Simulation Of Secondary Wave Generation From Mountain Wave Breaking Over Europe, Christopher J. Heale, Katrina Bossert, Sharon L. Vadas

Publications

In this paper, we simulate an observed mountain wave event over central Europe and investigate the subsequent generation, propagation, phase speeds and spatial scales, and momentum deposition of secondary waves under three different tidal wind conditions. We find the mountain wave breaks just below the lowest critical level in the mesosphere. As the mountain wave breaks, it extends outwards along the phases and fluid associated with the breaking flows downstream of its original location by 500–1,000 km. The breaking generates a broad range of secondary waves with horizontal scales ranging from the mountain wave instability scales (20–300 km), to multiples …

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 …

Evidence For The Oxidation Of Earth’S Crust From The Evolution Of Manganese Minerals, Daniel R. Hummer, Joshua J. Golden, Grethe Hystad, Robert T. Downs, Ahmed Eleish, Chao Liu, Jolyon Ralph, Shaunna M. Morrison, Michael B. Meyer, Robert M. Hazen

Publications

Analysis of manganese mineral occurrences and valence states demonstrate oxidation of Earth’s crust through time. Changes in crustal redox state are critical to Earth’s evolution, but few methods exist for evaluating spatially averaged crustal redox state through time. Manganese (Mn) is a redox-sensitive metal whose variable oxidation states and abundance in crustal minerals make it a useful tracer of crustal oxidation. We find that the average oxidation state of crustal Mn occurrences has risen in the last 1 billion years in response to atmospheric oxygenation following a 66 ± 1 million-year time lag. We interpret this lag as the average …

Feedback Interactions Between The Ionosphere And Magnetosphere At Middle Latitude, Mergen Alimaganbetov, Anatoly Streltsov

Publications

Observations show that magnetic pulsations with frequencies around 1 mHz are frequently detected simultaneously at different latitudes on the ground, in the inner magnetosphere, and in the solar wind. The coupling between oscillations in the dynamic pressure or magnetic field carried by the solar wind and the ULF waves detected on the ground at high latitudes has been suggested in several studies. We present results from a numerical study of ultra-low-frequency waves detected by the ground magnetometers at middle latitudes during substorm. We investigate the hypothesis that these waves are generated by the ionospheric feedback instability driven by the large-scale …

Venus Mountain Waves In The Upper Atmosphere Simulated By A Time-Invariant Linear Full-Wave Spectral Model, Michael P. Hickey, Richard L. Walterscheid, Thomas Navarro, Gerald Schubert

Publications

A 2-D spectral full-wave model is described that simulates the generation and propagation of mountain waves over idealized topography in Venus' atmosphere. Modeled temperature perturbations are compared with the Akatsuki observations. Lower atmosphere eddy diffusivity and stability play a major role in the upward propagation of gravity waves from their mountain sources. Two local times (LT) are considered. For LT = 11 h the waves are blocked by a critical level near 100 km altitude, while for LT = 16 h the waves propagate into the thermosphere. As a result of the small scale height in the Venus thermosphere, for …

Comparison Of Mlt Momentum Fluxes Over The Andes At Four Different Latitudinal Sectors Using Multistatic Radar Configurations, J. Federico Conte, Alan Liu, Zishun Qiao, Jorge L. Chau, David C. Fritts, José L. Hormaechea, Jacobo O. Salvador, Marco A. Milla

Publications

The middle atmosphere over South America, particularly above the Andes mountain range, is known as one of the most dynamically active regions in the world. Previous studies have investigated wave dynamics at mesosphere and lower thermosphere (MLT) altitudes within this region, but only a handful of them have made use of continuous measurements provided by specular meteor radars (SMRs). Furthermore, it was only until recently that MLT horizontal wind gradients were estimated for the first time using Spread Spectrum Interferometric Multistatic meteor radar Observing Network (SIMONe) Argentina, a multistatic SMR network located in southern Patagonia. By observing larger amounts of …

Annotated Bibliography Of Research In The Teaching Of English, Lisa Ortmann, Anne Crampton, Erin Stutelberg, Richard Beach, Keitha-Gail Martin-Kerr, Debra Peterson, Anna Schick, Bridget Kelley, Charles Lambert, Tracey Pyscher, Leanne Robinson, Andrea Gambino, Jeff Share, Stephanie M. Madison

Publications

Since 2003, RTE has published the annual “Annotated Bibliography of Research in the Teaching of English,” a list of curated and annotated works reviewed and selected by a large group of dedicated educator-scholars in our field. The goal of the annual bibliography is to offer a synthesis of the research published in the area of English language arts within the past year for RTE readers’ consideration. Abstracted citations and those featured in the “Other Related Research” sections were published, either in print or online, between June 2020 and June 2021. The bibliography is divided into nine sections, with some changes …

Talking Is Thinking: Supporting Student Sense-Making Through Discourse And Assessment, Whitney Jackson, Lauren A. Simpson, Brooke A. Whitworth

Publications

Learning in the classroom is highly influenced by the experiences a teacher plans for students. Concerned that students were not achieving adequate conceptual knowledge during traditional undergraduate physics courses, the authors used the Making Sense of SCIENCE curriculum to tailor a course for 21 pre-service elementary teachers at the University of Mississippi. The organization of instruction, facilitation practices, discussion opportunities, and assessment of content are all important aspects of the learning process. We found the changes we implemented significantly impacted the learning of students enrolled in this course.

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

Resonant Alfvén Waves In The Lower Auroral Ionosphere: Evidence For The Nonlinear Evolution Of The Ionospheric Feedback Instability, Hassanali Akbari, Anatoly Streltsov, Robert Pfaff, James Clemmons, Henry Freudenreich, Douglas Rowland

Publications

During the “Auroral Jets” experiment from Poker Flat, Alaska on 2 March 2017, two NASA sounding rockets were simultaneously launched into the active auroral ionosphere. The rockets were equipped with instrumentation to measure DC and AC electric fields, magnetic fields, energetic electrons, plasma density, and neutral winds and achieved apogees of 190 and 330 km. A prominent feature of the electric and magnetic field observations is the presence of localized large-amplitude (±40 mV/m and ±100 nT) small-scale (λ⊥∼ 1 km) Alfvén wave structures at altitudes as low as 150 km in the vicinity of up- and down-ward current regions. We …

The Source Of Auroral Omegas, Heidi K. Nykyri, J.M. Weygand, Mostafa El-Alaoui

Publications

The auroral wave-like structures called “omega bands” appear within the post-midnight sector auroral oval with shapes resembling the Greek letter omega, and are typically associated with the recovery phase of substorms. Prior work and MHD simulations suggest both high speed earthward flows and postmidnight flow shears are possible omega band source mechanisms. However, what produces omega bands is not well understood. It is most likely that the paucity of concurrent magnetospheric data has limited our ability to understand fully the mechanism responsible for the generation of the omega bands. We have identified about 263 auroral omegas in seven different THEMIS …

A Qualitative Single-Case Exploring The Impact Of A Mentor And Cohort On Students’ Academic And Career Decisions., Kevin Adkins, Samantha Bowyer, Jorge L. D. Albelo Ph.D.

Publications

Exposure to research is known to play a positive role in undergraduate education. However, robust research responsibilities are oftentimes not formally incorporated into a student’s academic experience until master level studies. Further, a variety of intimidation factors often inhibit many undergraduate students from participating on a research team. In this case study, the research team evaluated a unique group of undergraduate researchers who matriculated to the same university after beginning to participate in research as concurrently enrolled students. Following matriculation, each student continued to participate in research throughout the entirety of their undergraduate studies. All of the study’s students were …

Nebraska’S Women In Stem | Listen Then Act, Josie Gatti Schafer, Morgan Vogel, Tara Grell, Amanda Parker, Barbara Gomez-Aguinaga, Shawn Maxwelll, Yeonkyung Kim

Publications

A large and vibrant science, technology, engineering, and math (STEM) workforce has a range of benefits for the economic and social well-being of communities; yet, women continue to be underrepresented in these occupations. Nationally, in 2017, women accounted for over half of the college-educated workforce but made up only 29% of those employed in science and engineering occupations, while being overrepresented in STEMrelated fields like healthcare. Nebraska’s STEM workforce is reflective of national trends. In 2019, about 27% of Nebraska women 25 years or older worked in a core STEM occupation, which we can estimate to be about 15,300 women …

A New Non-Inheriting Homogeneous Solution Of The Einstein-Maxwell Equations With Cosmological Term, Ian M. Anderson, Charles G. Torre

Publications

We find a new homogeneous solution to the Einstein-Maxwell equations with a cos- mological term. The spacetime manifold is R × S3. The spacetime metric admits a simply transitive isometry group G = R × SU(2) and is Petrov type I. The spacetime is geodesically complete and globally hyperbolic. The electromagnetic field is non- null and non-inheriting: it is only invariant with respect to the SU(2) subgroup and is time-dependent in a stationary reference frame.

Designing With And For Youth: A Participatory Design Research Approach For Critical Machine Learning Education, Golnaz Arastoopour Irgens, Ibrahim Adisa, Cinamon Bailey, Hazel Vega Quesada

Publications

As big data algorithm usage becomes more ubiquitous, it will become critical for all young people, particularly those from historically marginalized populations, to have a deep understanding of data science that empowers them to enact change in their local communities and globally. In this study, we explore the concept of critical machine learning: integrating machine learning knowledge content with social, ethical, and political effects of algorithms. We modified an intergenerational participatory design approach known as cooperative inquiry to co-design a critical machine learning educational program with and for youth ages 9 - 13 in two after-school centers in the southern …

Clemson University’S Teacher Learning Progression Program: Personalized Advanced Credentials For Teachers, Luke J. Rapa, Jeff C. Marshall, Stephanie M. Madison, Christopher Flathmann, Bart Knijnenburg, Nathan J. Mcneese

Publications

This chapter provides an overview of Clemson University's Teacher Learning Progression program, which offers participating middle school science, technology, engineering, and/or mathematics (STEM) teachers with personalized advanced credentials. In contrast to typical professional development (PD) approaches, this program identifies individualized pathways for PD based on teachers' unique interests and needs and offers PD options through the use of a “recommender system”—a system providing context-specific recommendations to guide teachers toward the identification of preferred PD pathways and content. In this chapter, the authors introduce the program and highlight (1) the data collection and instrumentation needed to make personalized PD recommendations, (2) …

The Pauline Tradition, Benjamin L. White

Publications

No abstract provided.

Tunable Blood Shunt For Neonates With Complex Congenital Heart Defects, Ellen Garver, Christopher B. Rodell, Kristen Shema, Krianthan Govender, Samantha E. Cassel, Bryan Ferrick, Gabriella Kupsho, Ethan Kung, Kara L. Spiller, Randy Stevens, Amy L. Throckmorton

Publications

Despite advancements in procedures and patient care, mortality rates for neonatal recipients of the Norwood procedure, a palliation for single ventricle congenital malformations, remain high due to the use of a fixed-diameter blood shunt. In this study, a new geometrically tunable blood shunt was investigated to address limitations of the current treatment paradigm (e.g., Modified Blalock-Taussig Shunt) by allowing for controlled modulation of blood flow through the shunt to accommodate physiological changes due to the patient’s growth. First, mathematical and computational cardiovascular models were established to investigate the hemodynamic requirements of growing neonatal patients with shunts and to inform design …

Cognitive Load In Asynchronous Discussions In A Fully Online Course, Emily Faulconer

Publications

This study was designed as a quantitative descriptive investigation.

Modeling Crash Severity And Collision Types Using Machine Learning, Amit Kumar, Hari Krishnan Melempat Kalapurayil

Publications

Traffic safety analysis is the fundamental step for reducing economic, social, and environmental cost incurred due to traffic accidents. The essence of traffic safety is understanding the factors affecting crash occurrence, injury severity and collision type and their underlying relationships and predict-prevent future crash instances. Crash injury severity studies in past have utilized numerous statistical, econometric and Machine Learning (ML) and Artificial Intelligence (AI) tools to extract the underlying relationship between the crash causal factors and the consequent severity or collision type. The study aims to explore the Multi-Label Classification (MLC) tool from the domain of Artificial Intelligence (AI) for …

Instructional Efficiency In Asynchronous Online Discussions, Emily Faulconer, Darryl Chamberlain, Beverly Wood

Publications

Cognitive load mitigation strategies & community of inquiry framework are not discipline specific.

Introduction To Analytics And Data Science, 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

Leveraging Interdisciplinary Expertise In Developing An Alternative Mathematics Pathway, Beverly Wood, Debra T. Bourdeau

Publications

How many instructors does it take for amazing course design? Or perhaps we should begin with “A mathematician, humanist, communication expert and statistician walk into a bar.” This unlikely team has co-developed a pair of courses, Learning to Reason I: Art and Quotient and Learning to Reason II: Commerce and Flux, that deeply investigate quantitative reasoning from multiple perspectives. Blending elements of rhetoric, logic, and history with mathematical computation, representation, and application breaks through the perceived barriers between the unyielding, obstinate world of mathematics and the ambiguous, equivocal world of the humanities. Developing the courses as an interdisciplinary team of …