Digital Commons Network^™

Parallel Line Theory, Melody Kuoch

Fragments

No abstract provided.

Apocalypse From Inside The Orca Enclosure, Audrey Lovinger

Fragments

No abstract provided.

Atop A Hill, Gina Roseman

Fragments

No abstract provided.

Introducing The Centerpiece, Rose Lindsey

Fragments

No abstract provided.

Reflection & Encompass, Hannah Sutherland

Fragments

No abstract provided.

Frieze Symmetry Patterns Of Pennsylvania German Fraktur, Lorelei Koss

LASER Journal

Fraktur is an American folk art developed by German-speaking communities in Pennsylvania, New Jersey, Ohio, Virginia, Maryland, and North Carolina during the 18th and 19th centuries. This art form features ornate calligraphy combined with illustrations of flowers, birds, angels, and geometric border designs. It was often used for birth and baptismal certificates, religious texts, educational materials, and public notices. Fraktur commonly incorporates frieze pattern designs. Artistic designs based on frieze patterns appear across a wide range of cultures, and research has shown that cultural groups tend to favor certain types of frieze patterns. This paper investigates which types of frieze …

The State Of The Field On Popular Culture Themed (Pct) Courses: Introducing The Journal Of Thematic Instruction, Kathy R. Doody Ph.D., Pamela Schuetze Ph.D., Jill M. Swirsky Ph.D.

Journal of Thematic Instruction

As universities adapt to meet evolving student needs, popular culture themed (PCT) courses have emerged as an innovative approach that integrates media with academic theory to foster engagement, critical thinking, and interdisciplinary connections. PCTs use popular culture themes that are not directly related to the course content to teach the course content. Despite their growing use across diverse disciplines, from STEM to the humanities, there is a lack of cohesive understanding, consistent terminology, and empirical research on the impacts of PCT courses in higher education.

This paper reviews existing literature on PCT courses organized by discipline, highlighting representative pedagogical strategies, …

An Elementary Approach To The Probability Distribution Of The Product Of Multiple Random Variables, Suwen Tian

Rose-Hulman Undergraduate Mathematics Journal

Abstract There arenindependent identically distributed (i.i.d.) uniform random variables defined as ξ1,ξ2,…,ξn, valued in interval [0,k](k>0), and there is a constantmvalued in interval (0,kn). We study the distribution of the product of these random numbers and prove a formula calculating Pr(∏i=1nξi≤m). Interestingly, we find that the result is exactly the sum of the firstnterms in the Taylor series expansion of the function exp(x) with x=nlnk-lnm. Through considering the corresponding probability density function, we make an extension of the formula calculating Pr(∏i=1nξi≤m) to any positive realn, and the extended formula can be written in a …

Optimizing Lattice Structures For Tensile Performance: A Comparative Study Of Six Geometries Using Fdm 3d Printing, Abdullah Alhuzaim, Talal T. Alshammari

Yanbu Journal of Engineering and Science

In this study, six distinct infill designs Gyroid, Schwarz, Diamond, Lidinoid, SplitP, and Neovius were developed using ntopy engineering design software and fabricated with a Fused Deposition Modeling (FDM) printer to examine their tensile strength and weight characteristics. The analysis explored the relationship between structural geometry and mechanical performance, particularly tensile strength, while accounting for weight efficiency. Experimental results revealed significant differences in tensile behavior across the designs: Schwarz demonstrated the highest tensile strength (0.7 kN) and superior load-bearing capacity, while Lidinoid showed comparable strength but abrupt failure post-peak force. Neovius excelled in ductility with 7 mm elongation before failure, …

Non-Invasive Near-Field Microwave Sensors For Industrial Internet Of Things Applications, Abirami K

Theses and Dissertations

The industrial sector has been revolutionized by Industrial Revolution 4.0 with the advent of the Internet of Things (IoT) which integrates the physical environment using smart sensors and Artificial Intelligence (AI) mechanisms. This demands the design of smart sensors and actuators to improve the quality of services in Industrial IoT (IIoT). The sensor design using the microwave resonating principle has attracted the research and industrial community for portable, non-invasive, non-destructive and hygienic means to evaluate the quality of substances in the food and farming industry. The microwave planar sensor has advantages in terms of low footprint, low cost, and ease …

Effects Of Fair Workweek Laws On Labor Market Outcomes, Joseph Pickens, Aaron Sojourner

Upjohn Institute Working Papers

This paper models fair workweek regulations that require employers to provide employees with (1) schedule predictability via advance notice of their work schedule and premium payments for short-notice changes, and (2) access to hours meaning they must offer open hours to existing employees before hiring new workers. We develop a theoretical model of employers’ responses to these provisions and their implications for employment. Guided by the model, we estimate the effects of recently-adopted fair workweek regulation in New York City’s fast-food sector using a synthetic difference-in-differences design. We find a null employment effect.

A Survey On Security Applications With Smartnics: Taxonomy, Implementations, Challenges, And Future Trends, Serigo Elizalde, Ali Alsabeh, Ali Mazloum, Samia Choeiri, Elie Kfoury, Jose Gomez, Jorge Crichigno

Faculty Publications

Over the last decade, network applications have grown exponentially, demanding high-speed interconnects. Unfortunately, chip manufacturers are approaching the upper limits of silicon-based computing with slow improvements in computational performance and energy efficiency. This trend has forced the industry to shift paradigms, moving from monolithic architectures to heterogeneous, domain-specific designs. Moreover, the ever-evolving threats compromise digital services and demand more scalable and flexible solutions to ensure service continuity in production networks. Smart Network Interface Cards (SmartNICs) are a product of this new paradigm, integrating domain-specific engines and general-purpose cores to offload various network infrastructure tasks, including those related to security. This …

The Chemistry Workforce In The Mountain West, 2022, Sean Curry, Otoniel Ramos, Mohit Pande, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2022 data on the industrial chemistry workforce in five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah. The American Chemistry Council’s (ACC’s) report, “2023 Guide to the Business of Chemistry,” offers insights into the chemistry industry’s role in the U.S. economy. This fact sheet focuses on 2022 state-level data related to the number of chemistry establishments, the number of individuals employed in the industry, and the average wages and salaries of industry workers in the Mountain West.

Energetic And Economic Aspects Of Rebound, Part I: Foundations Of A Rigorous Analytical Framework, Matthew Kuperus Heun, Gregor Semieniuk, Paul E. Brockway

University Faculty Publications and Creative Works

Widespread implementation of energy efficiency is a key greenhouse gas emissions mitigation measure, but rebound can “take back” energy savings. However, the absence of solid analytical foundations hinders empirical determination of the size of rebound. A new clarity is needed, one that involves both economics and energy analysis. In this paper (Part I), we advance foundations of a rigorous analytical framework for consumer-sided rebound that starts at the microeconomic level and is approachable for both energy analysts and economists. We develop foundations of a framework that (i) clarifies the energy, expenditure, and consumption aspects of rebound, (ii) combines embodied energy …

Interviewing Refugees And Asylum Seekers: Study Guidelines For Forced Migration Researchers, Ahmad Al Ajlan

The Qualitative Report

This study develops guidelines for conducting qualitative research with refugees and asylum seekers in Western host countries by examining how participants' vulnerabilities should inform research practices. The guidelines are derived from a critical review of literature on qualitative research with vulnerable groups, particularly refugees, and the author's experience as a forced migration researcher with a displacement background. The study underscores how asylum seekers' vulnerabilities, shaped by acculturation challenges and exposure to trauma in their countries-of-origin, during their asylum journeys, and in host societies, influence both the interview process and the dissemination of findings. Key recommendations emphasize the need to account …

Why The Ai Act Fails To Understand Generative Ai, Claire Boine, David Rolnick

Minnesota Journal of Law, Science & Technology

No abstract provided.

Investigating Long-Lasting Meteor Train Phenomena In Optical And Radio Regimes, Logan E. Cordonnier

Physics & Astronomy ETDs

Throughout history, meteors have been regarded as fascinating and portentous events, with bygone astronomers diligently recording their occurrence. The research presented herein continues in this tradition, using modern instruments, software, and data reduction techniques to study long-lasting meteor trail phenomena, specifically in the optical (persistent trains; PTs) and radio (meteor radio afterglows; MRAs) regimes. The overarching goal was to investigate the similarities between these phenomena, which began with the creation of a PT catalog. Many of the prior assumptions about the nature of PTs were found to be unsubstantiated, and several new behaviors were uncovered. This includes the discovery of …

Graph Traverse Reference Network For Sign Language Corpus Retrieval In The Wild, Kun Hu, Fengxiang He, Adam Schembri, Zhiyong Wang

Research outputs 2022 to 2026

Sign languages are the primary languages of the deaf community as well as hearing individuals who are unable to speak, which engage the visual-manual modality to convey meanings. In recent years, there has been an explosive growth of sign language videos available from video streaming and social media service platforms. Given the size of these corpora, sign language users often face significant challenges in effectively acquiring the information they need. Therefore, we propose a novel deep learning architecture, namely Graph Traverse Reference Network (GTRN), allowing visual signing queries to retrieve relevant sign language videos (documents) from a large corpus. GTRN …

Domain-Adaptive Diagnosis Of Lewy Body Disease With Transferability Aware Transformer, Xiaowei Yu, Jing Zhang, Tong Chen, Yan Zhuang, Minheng Chen, Chao Cao, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

Lewy Body Disease (LBD) is a common yet understudied form of dementia that imposes a significant burden on public health. It shares clinical similarities with Alzheimer’s disease (AD), as both progress through stages of normal cognition, mild cognitive impairment, and dementia. A major obstacle in LBD diagnosis is data scarcity, which limits the effectiveness of deep learning. In contrast, AD datasets are more abundant, offering potential for knowledge transfer. However, LBD and AD data are typically collected from different sites using different machines and protocols, resulting in a distinct domain shift. To effectively leverage AD data while mitigating domain shift, …

Exploring System Identification Of Non-Linear Dynamics Using The Weighted Composition Operator And The Liouville Operator, Chukwuebuka Amagwula

USF Tampa Graduate Theses and Dissertations

System identification is the process of determining mathematical models that describe the dynamics of a system from data. Dynamic Mode Decomposition (DMD) and Sparse Identification of Nonlinear Dynamical Systems (SINDy) are two distinct approaches used for this purpose.

DMD identifies dominant spatiotemporal modes and eigenvalues that describe the evo lution of a system. It assumes a near-linear representation of dynamics and is closely linked to the Koopman operator, making it ideal for analyzing fluid flows, oscillatory systems, and modal structures. The DMD method uses time series data where each data point is referred to as a snapshot and represents the …

Investigating The Regulation Of The Hypothalamic-Pituitary-Interrenal Axis In Atlantic Sturgeon (Acipenser Oxyrinchus) Following An Acute Stressor, Liam Doherty, Ciarán A. Shaughnessy, Robert M. Dores

DU Undergraduate Research Journal Archive

This study investigated the response to acute stress in Atlantic sturgeon (Acipenser oxyrinchus) and HPI axis regulation of glucocorticoid production during stress by examining the expression of key genes―corticotropin-releasing hormone (crh), corticotropin-releasing hormone receptor (crhr), proopiomelanocortin (pomca/pomcb), melanocortin 2 receptor (mc2r), and steroidogenic acute regulatory protein (star)―that are associated with hypothalamus/pituitary/interrenal (HPI) axis of bony fishes. Additionally, tyrosine hydrogenase (th1 and th2) and phosphoenolpyruvate carboxykinase (pepck), found in catecholamine-producing cells in the head kidney of the sturgeon, were investigated as …

Dr. Steven Iona Faculty Spotlight, Rachel Jaeger

DU Undergraduate Research Journal Archive

An interview with Dr. Steven Iona of the University of Denver's Department of Physics and Astronomy.

Du Undergraduate Showcase Abstracts: Research, Scholarship, And Creative Works, Kabe Aberle, Nadia Kako, Kateri Mcrae, Brooke Agulnek, Sky Palmon, Yasmine Ramirez, Francisca Aguirre Beltran, Ashley Juarez, Bridget Kim, Tessa Appel, Sterling Kerr, Spencer Ingley, Gabe Meyer, Robin Tinghitella, Dale Broder, Lily Baeza, Chloe Beers, Julia Coakley, Whitney Kelsey, Sydney Gainforth, Gabi Wing, Audrey Martin, Aaliyah Amore Berry, Brooke Watley, Kiruthika Venkatesan, Rachel Bienstock, Annabella Brotherston, Madison Bryant, Mia Burgener, Emma P. Lieb, Rachel A. Johnson, Jennifer L. Hoffman, Kania Campbell, Kiena Campbell, Courtney Cassidy, Sage Krzyzkowski, Maddox Jones, Skylar Abookire, Luke Hawkins, Sunnah Yoon, Andrea Chu, Yan Qin, Nyah Cubbison, Brian Gearity, Daniel Mcintosh, Mariely Cruz, Edward Garrido, Grady Dionne, Nicole Doris, Lyndsie Salvagio, Ann-Charlotte Granholm-Bentley, Anna Dymov, Hannah Eckert, Gabrielle Welsh, Erica Larson, Charlie Ernst, Anna Zhou, Sarah Watamura, Larissa Fedorovich-Klein, Georgie Fields, Kimberly A. Guevara, Aven Mccall, Ben Peltier, Feruz Yahia, Patrick Flores, Jadyn Floyd, Sophia Forcier, J. Von R. Monteza, Peter Sokol-Hessner, Gwendolyn Geiger, Scott Nichols, Camryn Gunter, Kendal Hengst, Charlie Bednarz, Issy Garside, Addison Baker, Rachel Mina, Brooke Hermanson, Amanda Klingler, William Highfill, Sydney Jaques, Kerstin Lewey, Allison Grossery, Daniel Linseman, Ethan Lim, Jagger Livengood, Owen Mantelli, Gabby Pappas, Abby Mcdonald, Madeleine Dierking, Eve Miller, Emma Loeber, Anna Marlow, Michael Kerwin, Ella Mathews, Hillary Hamann, Khadija Mohamed, Vivian Nguyen, Gabri Notov, Ifunayachi Ogbonna-Ukuku, Sunil Kumar, Charles Baysah, Sarah Olson, Don Sullivan, Anna Paradiso, Jay Parrish, Mira Pronobis, Alisha Pravasi, Kerstin Haring, Diego Ramirez, Christopher Reardon, Juliana Ramirez, Casey Doherty, Ella Kestner, Teagan Weindel, Cate Billings, Pablo Torre-Walter, Lucy Rand, Samantha Reynolds, Mark Siemens, Khadeeja Rashid, Laine Satterlee, Piper Heilbronner, Lily Pound, Ben Whitehurst, Anna Respet, Lizzie Lesoing, Sydney Hertel, Aya Saad-Masri, Brooke Ballenger, Max Proske, Hannah Rosenberg, Ellia Nakahara, Sophia Espinoza, Ivan Woolhouse, Simon Ruland, Gorkem Er, Timothy Sweeny, Melaku Saketa, Michela Schenk, Maren Lynch, Madi Hamm, Grace Schroeder, Michelle Rozenman, Rana Seif, Jackson Hall, Marisela Simental, Daniel Paredes, Aaron Mena, Preston Spaan, Evelyn Stovin, David Andrew Swartz, Anh Tran, Daniel Pittman, Luke Farchione, Emily Boyer, Ukari Verner, Lacey Conrad, Jonathan Velotta, James Weiner, Jagger Gossett, Noah Sherry, Sam Proud, Ben Block, Avi Narayana, Zoey Weiss, Alyssa Wilson, Gabrielle Walsh, David Zonana, Keely Wright, Kena Riveria, Lillybelle Deer, Jena Doom, Elysia Davis, Isabelle Yaremenko, Caitlyn Young

DU Undergraduate Research Journal Archive

Abstracts from the DU Undergraduate Research Showcase.

Coordinating Instruments For Multi-Messenger Astrophysics, Daisy Wang, Ye Htet, Marion Sudvarg, Roger Chamberlain, Jeremy Buhler, James Buckley

Computer Science Faculty Research & Creative Works

In multi-messenger astrophysics, signals of multiple types (e.g., gravitational waves, neutrinos, electromagnetic waves) are combined in an effort to learn more about the observed phenomena of interest. The Advanced Particle-astrophyics Telescope (APT) is a mission concept for a space-borne instrument that detects gammaray bursts (GRBs) omnidirectionally, facilitating multi-messenger observations by identifying and localizing celestial events of interest. Here, we describe the on-instrument computations for APT and its Antarctic Demonstrator (ADAPT) as well as techniques for follow-up observations of transient events.

Mutual Position Of Two Smooth Quadrics Over Finite Fields, Shamil Asgarli, Chi Hoi Yip

Mathematics and Computer Science

Given two irreducible conics C and D over a finite field 𝔽_q with q odd, we show that there are q²/ 4 + O(q^3/2) points P in P²(𝔽_q) such that P is external to C and internal to D. This answers a question of Korchmáros. We also prove the analogous result for higher-dimensional smooth quadric hypersurfaces in P^n-1  with n odd, where the answer is q^n-1/4 + O(q^n-3/2).

Ways Researchers Can Use Teacher Noticing To Inform The Conceptualization Of A Complex Teaching Practice, Shari L. Stockero, Keith R. Leatham, Blake E. Peterson

Michigan Tech Publications

Prior research has examined teachers’ noticing in order to understand what factors affect teacher noticing and how mathematics teacher educators can support that noticing. We contend, however, that analyzing teachers’ noticing has the potential to be used for additional purposes. In this paper, we illustrate how we used teachers’ noticing as one tool for gaining insight into our conceptualization of a complex teaching practice—the practice of building on student mathematical thinking. We provide examples of how our analysis of instances of noticing enhanced our understanding of the practice of building by revealing aspects of the practice that we had never …

Planetary Thinking: Hellbenders As Emissaries Of Appalachia, Tierra R. Curry

Critical Humanities

Hellbenders are prehistoric salamanders that have thrived in cold rivers since before the continents divided. Once found throughout Appalachian watersheds, due to exploitation and habitat degradation only a few dozen healthy populations survive. Monstrous yet fascinating, hellbenders were often reviled historically, but in recent decades they have gained iconic status and are now celebrated as charismatic indicators for clean rivers. Hellbenders are symbols of the wild because of their ancient history, elusive nature, and contribution to ecosystem resilience. The same forces that drove the decline of these amphibian sentinels have sacrificed public health in Appalachia. Their demise echoes the struggle …

A Novel Approach To Increase Accuracy In Remotely Sensed Evapotranspiration Through Basin Water Balance And Flux Tower Constraints, Kul Khand, Gabriel B. Senay, Mackenzie Friedrichs, Koong Yi, Joshua B. Fisher, Lixin Wang, Kosana Suvočarev, Arman Ahmadi, Housen Chu, Stephen Good, Kanishka Mallick, Justine Missik, Jacob A. Nelson, David E. Reed, Tianxin Wang, Xiangming Xiao

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Remote sensing-derived evapotranspiration (RSET) products capture the spatiotemporal variations of evapotranspiration (ET) from field to basin scales with unprecedented details. However, their accuracy varies across RSET estimation methods and diverse hydroclimate regions. While ET modeling efforts to account for biophysical processes and controlling parameters have made good progress in recent years, a parallel approach of integrating in-situ ET with RSET could reduce biases in RSET products. Basin water balance ET (WBET) and flux tower ET are widely applied to evaluate RSET accuracy, yet such ET measurements are rarely used for RSET bias corrections, especially for large area applications. To address …

Onset Of The Messinian Salinity Crisis: Insights From Molecular Organic Geochemistry, Albert Permanyer, Michael A. Kruge, Luis Gibert

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The Messinian Salinity Crisis (MSC) generated extensive anoxic sediments under the evaporitic deposits in marginal Mediterranean basins. In an interdisciplinary approach combining field work with multiple laboratory techniques, the oil source rock potential and biomarkers of pre-evaporitic Messinian sediments from the Caltanissetta Basin (Sicily) were evaluated using Rock-Eval pyrolysis, gas chromatography-mass spectrometry, isotopic analysis and optical and electron microscopy. Organic-rich samples from the 45 m Serra Pirciata section consist of cycles of diatomaceous and carbonate layers alternating with organic shales of variable TOC. The organic matter is mostly optically amorphous, increasing in content upwards in the section. Of the 43 …

Latine Students’ Stem Identity Development: Reflecting On Implicit Biases, Imposter Syndrome, Self-Efficacy, And Support Systems, Alyssa G. Cavazos, Valerie Leija, Javier Cavazos Vela

Writing and Language Studies Faculty Publications

This study used an equity ethic framework and a STEM identity model to contextualize and understand Latine students’ perceptions of STEM identity development. The purpose of this study was to investigate how Latine undergraduate students who engaged in STEM coursework perceived their learning experiences and stories of resilience through an equity ethic framework. Data were collected through interviews with 19 Latine college students attending a Hispanic-Serving Institution. Findings revealed the following themes related to Latine students’ STEM identity development and lived experiences in STEM coursework: implicit biases, imposter syndrome, self-efficacy, and support system and resources. Findings highlight the need for …