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The Future Of Recycling Pickup, Ciara Nelson, Olivia Prawoto, Noelle Phillipi, Michelle Zenk Apr 2023

The Future Of Recycling Pickup, Ciara Nelson, Olivia Prawoto, Noelle Phillipi, Michelle Zenk

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2023

A poster titled The Future of Recycling Pickup for client South Sioux City, Nebraska (Oscar Gomez).


Norfolk Solar Installation: Water Processing Facilities, Jackson Ness, Evvie Yendra, Zoe Zingler Apr 2023

Norfolk Solar Installation: Water Processing Facilities, Jackson Ness, Evvie Yendra, Zoe Zingler

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, spring 2023

A poster titled Norfolk Solar Installation: Water Processing Facilities for client City of Norfolk, Nebraska.


Phys 213 Apr 2023

Phys 213

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 451/851 Apr 2023

Phys 451/851

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 142 Lab Apr 2023

Phys 142 Lab

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 223 Lab Apr 2023

Phys 223 Lab

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 211 Apr 2023

Phys 211

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 916 Apr 2023

Phys 916

Department of Physics and Astronomy: Syllabi

No abstract provided.


A Mixed Methods Study Of Faculty Experiences In A Course Design Institute, Carie N. Cardamone, Heather Dwyer Apr 2023

A Mixed Methods Study Of Faculty Experiences In A Course Design Institute, Carie N. Cardamone, Heather Dwyer

To Improve the Academy: A Journal of Educational Development

Remote teaching created a unique opportunity to study the experiences of faculty participating in a course design institute. Hundreds enrolled in our online institute, where technologies (e.g., Zoom, Canvas, Google Docs) facilitated interactions among participants and preserved their ideas and perspectives throughout the program. Using a grounded theory analysis approach attentive to the participants’ words, the authors uncovered participants’ experiences and their perspectives on the structures that shaped those experiences. The data ultimately revealed five themes (pedagogical knowledge, student perspective, community and connection, technology, and emotion) that relate to changes in participant attitudes, perceptions, and/or pedagogical approaches. Drawing on these …


Learning Communities Promote Pedagogical Metacognition In Higher Education Faculty, Audrey J. Tocco, Lauren A. Mehrhoff, Haley M. Osborn, Lyda F. Mccartin, Molly M. Jameson Apr 2023

Learning Communities Promote Pedagogical Metacognition In Higher Education Faculty, Audrey J. Tocco, Lauren A. Mehrhoff, Haley M. Osborn, Lyda F. Mccartin, Molly M. Jameson

To Improve the Academy: A Journal of Educational Development

Pedagogical metacognition, or the reflective and reflexive actions associated with teaching practice, strengthens the planning, monitoring, evaluation, and adjustment of teaching in higher education faculty. Learning communities are optimal environments to foster this active teaching reflection. This study incorporated pedagogical metacognition into a faculty learning community curriculum and explored its impacts on higher education instructors’ reflective and reflexive practices. Faculty participants completed monthly metacognitive reflections for one academic year, each corresponding to a research-based principle of learning. Qualitative analysis indicated that faculty learning community participants recognized their lack of pedagogical training, successfully reflected on their teaching strategies, identified areas for …


Unl Emeriti And Retirees Association Newsletter, Spring 2023 Apr 2023

Unl Emeriti And Retirees Association Newsletter, Spring 2023

UNL Emeriti and Retirees Association: Newsletters and Other Materials

University of Nebraska-Lincoln Emeriti and Retirees Association Newsletter, Spring 2023


Extremal Absorbing Sets In Low-Density Parity-Check Codes, Emily Mcmillon, Allison Beemer, Christine A. Kelley Apr 2023

Extremal Absorbing Sets In Low-Density Parity-Check Codes, Emily Mcmillon, Allison Beemer, Christine A. Kelley

Department of Mathematics: Faculty Publications

Absorbing sets are combinatorial structures in the Tanner graphs of low-density parity-check (LDPC) codes that have been shown to inhibit the high signal-to-noise ratio performance of iterative decoders over many communication channels. Absorbing sets of minimum size are the most likely to cause errors, and thus have been the focus of much research. In this paper, we determine the sizes of absorbing sets that can occur in general and left-regular LDPC code graphs, with emphasis on the range of b for a given a for which an (a, b)-absorbing set may exist. We identify certain cases of extremal …


Phys 115 Apr 2023

Phys 115

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 141 Apr 2023

Phys 141

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 212 Apr 2023

Phys 212

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 343 Apr 2023

Phys 343

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 461/861 Apr 2023

Phys 461/861

Department of Physics and Astronomy: Syllabi

No abstract provided.


Phys 141/153 Lab Apr 2023

Phys 141/153 Lab

Department of Physics and Astronomy: Syllabi

No abstract provided.


Water Current, Volume 55, No. 1, Spring 2023 Apr 2023

Water Current, Volume 55, No. 1, Spring 2023

Water Current Newsletter

No abstract provided.


Droughtscape, Spring 2023, National Drought Mitigation Center Apr 2023

Droughtscape, Spring 2023, National Drought Mitigation Center

DroughtScape: Quarterly Newsletter of the National Drought Mitigation Center (2007–2023)

DroughtScape, Spring 2023


Characterization Of Physical And Biochemical Traits In Wheat And Corn Plants Using High Throughput Image Analysis, Kantilata Thapa Apr 2023

Characterization Of Physical And Biochemical Traits In Wheat And Corn Plants Using High Throughput Image Analysis, Kantilata Thapa

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Plant phenotyping has been recognized as a rapidly growing field of research due to the labor-intensive, destructive, and time-consuming nature of traditional phenotyping methods. These phenotyping bottlenecks can be addressed by advancements in image-based phenotyping like RGB and hyperspectral imaging for the assessment of plant traits important for breeding purposes. This study aims (1) to characterize the physical and biochemical traits of wheat and corn plants using RGB and hyperspectral imaging in the greenhouse, and (2) to estimate leaf nitrogen (N), phosphorus (P), and potassium (K) content using hyperspectral imaging and an analytical spectral device (ASD spectrometer) and compare the …


Extraction And Analytical Method For N-Nitrosoatrazine Using Liquid Chromatography Paired With Tandem Mass Spectrometry, Carolyn Billings Apr 2023

Extraction And Analytical Method For N-Nitrosoatrazine Using Liquid Chromatography Paired With Tandem Mass Spectrometry, Carolyn Billings

Honors Program: Senior Projects (Public)

Atrazine is an herbicide used in the United States to control weeds. When combined with nitrite, atrazine can be nitrosated to form N-nitrosoatrazine (NNAT) in vivo and in vitro under acidic conditions. Atrazine can also be metabolized to atrazine mercapturate, deethylatrazine (DEA), didealkylatrazine (DDA), and deisopropylatrazine (DIA). Atrazine is monitored in drinking water due to its possible carcinogenicity. The objective of this study was to develop extraction and analytical methods for NNAT, atrazine, and atrazine metabolites. An instrument detection limit, extraction methods comparison, and extraction method detection limit were determined. To compare methods, Fischer 344 rat tissue samples were …


Diffractive Imaging Of Laser Induced Molecular Reactions With Kiloelectron–Volt Ultrafast Electron Diffraction, Yanwei Xiong Apr 2023

Diffractive Imaging Of Laser Induced Molecular Reactions With Kiloelectron–Volt Ultrafast Electron Diffraction, Yanwei Xiong

Department of Physics and Astronomy: Dissertations, Theses, and Student Research

Capturing the structural changes during a molecular reaction with ultrafast electron diffraction (UED) requires a high spatiotemporal resolution and sufficiently high signal-to-noise to record the signals with high fidelity. In this dissertation, I have focused on the development of a tabletop gas phase keV-UED setup with a femtosecond temporal resolution. A DC electron gun was employed to generate electron pulses with a high repetition rate of 5 kHz. The space charge effect in the electron pulse was ameliorated by compressing the 90 keV electron pulse longitudinally with a time varying electric field in an RF cavity. The velocity mismatch between …


Drinking Water Contaminants: Bacteria, Bruce I. Dvorak, Becky O. Schuerman Apr 2023

Drinking Water Contaminants: Bacteria, Bruce I. Dvorak, Becky O. Schuerman

Department of Civil and Environmental Engineering: Faculty Publications

Testing drinking water for fecal bacteria or Escherichia coli (E. coli) is commonly used as an indicator of the presence of pathogenic microorganisms. The presence of pathogenic (disease-causing) microorganisms is a concern when considering the safety of drinking water. Pathogenic microorganisms can cause flu-like systems, intestinal infections, dysentery, hepatitis, typhoid fever, cholera, and other illnesses.


Highly Pathogenic Avian Influenza A(H5n1) Virus Outbreak In New England Seals, United States, Wendy Puryear, Kaitlin Sawatzki, Nichola Hill, Alexa Foss, Jonathon J. Stone, Lynda Doughty, Dominique Walk, Katie Gilbert, Maureen Murray, Elena Cox, Priya Patel, Zak Mertz, Stephanie Ellis, Jennifer Taylor, Deborah Fauquier, Ainsley Smith, Robert A. Digiovanni, Adriana Van De Guchte, Ana Silvia Gonzalez-Reiche, Zain Khalil, Harm Van Bakel, Mia K. Torchetti, Kristina Lantz, Julianna B. Lenoch, Jonathan Runstadler Apr 2023

Highly Pathogenic Avian Influenza A(H5n1) Virus Outbreak In New England Seals, United States, Wendy Puryear, Kaitlin Sawatzki, Nichola Hill, Alexa Foss, Jonathon J. Stone, Lynda Doughty, Dominique Walk, Katie Gilbert, Maureen Murray, Elena Cox, Priya Patel, Zak Mertz, Stephanie Ellis, Jennifer Taylor, Deborah Fauquier, Ainsley Smith, Robert A. Digiovanni, Adriana Van De Guchte, Ana Silvia Gonzalez-Reiche, Zain Khalil, Harm Van Bakel, Mia K. Torchetti, Kristina Lantz, Julianna B. Lenoch, Jonathan Runstadler

United States Department of Agriculture Wildlife Services: Staff Publications

We report the spillover of highly pathogenic avian influenza A(H5N1) into marine mammals in the northeastern United States, coincident with H5N1 in sympatric wild birds. Our data indicate monitoring both wild coastal birds and marine mammals will be critical to determine pandemic potential of influenza A viruses.


Exploring Stem Teaching Assistants’ Self-Efficacy And Its Relation To Approaches To Teaching, Cody R. Smith, Deepika Menon, Annette Wierzbicki, Jenny M. Dauer Apr 2023

Exploring Stem Teaching Assistants’ Self-Efficacy And Its Relation To Approaches To Teaching, Cody R. Smith, Deepika Menon, Annette Wierzbicki, Jenny M. Dauer

Department of Teaching, Learning, and Teacher Education: Faculty Publications

Undergraduate and graduate teaching assistants (TAs) play large roles in introductory undergraduate education despite having little to no teaching experience or professional development (PD). Self-efficacy and teaching approach have each been studied as independent variables that impact teaching performance and student learning in the absence of practiced skill or developed knowledge. This study explored relationships between TAs’ teaching approaches and teaching self-efficacy. Self-efficacy was measured using the Graduate Teaching Self-Efficacy Scale (GTA-TSES), and teaching approach was measured using the Approaches to Teaching Inventory (ATI). The following research questions guided the study: What is the relationship between TAs’ approaches to teaching …


A Look Into The Physiological Impacts Of Childhood Cancers And Modeling Of Tumor Growth Rate, Erica Steiner, Kimberly Hansen, Marissa Stanton Apr 2023

A Look Into The Physiological Impacts Of Childhood Cancers And Modeling Of Tumor Growth Rate, Erica Steiner, Kimberly Hansen, Marissa Stanton

Honors Program: Senior Projects (Public)

Cancer is one of the deadliest diseases present in the world. Children have different reactions to diseases and treatments; thus, it is important to study those reactions specifically in children. Knowing how children are impacted by these factors can be helpful in diagnosis and treatment of cancer. I performed this study by researching the different types of cancer I was interested in and using MATLAB to code for and simulate a growth curve of a brain tumor. I found that there are many different physiological impacts of different cancers in children. As for the modeling, I was able to get …


Snowmass 2021 Computational Frontier Compf4 Topical Group Report Storage And Processing Resource Access, W. Bhimji, D. Carder, E. Dart, J. Duarte, I. Fisk, R. Gardner, C. Guok, B. Jayatilaka, T. Lehman, M. Lin, C. Maltzahn, S. Mckee, M. S. Neubauer, O. Rind, O. Shadura, N. V. Tran, P. Van Gemmeren, G. Watts, B. A. Weaver, F. Würthwein Mar 2023

Snowmass 2021 Computational Frontier Compf4 Topical Group Report Storage And Processing Resource Access, W. Bhimji, D. Carder, E. Dart, J. Duarte, I. Fisk, R. Gardner, C. Guok, B. Jayatilaka, T. Lehman, M. Lin, C. Maltzahn, S. Mckee, M. S. Neubauer, O. Rind, O. Shadura, N. V. Tran, P. Van Gemmeren, G. Watts, B. A. Weaver, F. Würthwein

Holland Computing Center: Faculty Publications

The Snowmass 2021 CompF4 topical group’s scope is facilities R&D, where we consider “facilities” as the hardware and software infrastructure inside the data centers plus the networking between data centers, irrespective of who owns them, and what policies are applied for using them. In other words, it includes commercial clouds, federally funded High Performance Computing (HPC) systems for all of science, and systems funded explicitly for a given experimental or theoretical program. However, we explicitly consider any data centers that are integrated into data acquisition systems or trigger of the experiments out of scope here. Those systems tend to have …


Interface-Engineered Ferroelectricity Of Epitaxial Hf0.5Zr0.5O2 Thin Films, Shu Shi, Haolong Xi, Tengfei Cao, Weinan Lin, Zhongran Liu, Jiangzhen Niu, Da Lan, Chenghang Zhou, Jing Cao, Hanxin Su, Tieyang Zhao, Ping Yang, Yao Zhu, Xiaobing Yan, Evgeny Y. Tsymbal, He Tian, Jingsheng Chen Mar 2023

Interface-Engineered Ferroelectricity Of Epitaxial Hf0.5Zr0.5O2 Thin Films, Shu Shi, Haolong Xi, Tengfei Cao, Weinan Lin, Zhongran Liu, Jiangzhen Niu, Da Lan, Chenghang Zhou, Jing Cao, Hanxin Su, Tieyang Zhao, Ping Yang, Yao Zhu, Xiaobing Yan, Evgeny Y. Tsymbal, He Tian, Jingsheng Chen

Department of Physics and Astronomy: Faculty Publications

Ferroelectric hafnia-based thin films have attracted intense attention due to their compatibility with complementary metal-oxide-semiconductor technology. However, the ferroelectric orthorhombic phase is thermodynamically metastable. Various efforts have been made to stabilize the ferroelectric orthorhombic phase of hafnia-based films such as controlling the growth kinetics and mechanical confinement. Here, we demonstrate a key interface engineering strategy to stabilize and enhance the ferroelectric orthorhombic phase of the Hf0.5Zr0.5O2 thin film by deliberately controlling the termination of the bottom La0.67Sr0.33MnO3 layer. We find that the Hf0.5Zr0.5O2 films on …


Integrating And Optimizing Genomic, Weather, And Secondary Trait Data For Multiclass Classification, Vamsi Manthena, Diego Jarquín, Reka Howard Mar 2023

Integrating And Optimizing Genomic, Weather, And Secondary Trait Data For Multiclass Classification, Vamsi Manthena, Diego Jarquín, Reka Howard

Department of Statistics: Faculty Publications

Modern plant breeding programs collect several data types such as weather, images, and secondary or associated traits besides the main trait (e.g., grain yield). Genomic data is high-dimensional and often over-crowds smaller data types when naively combined to explain the response variable. There is a need to develop methods able to effectively combine different data types of differing sizes to improve predictions. Additionally, in the face of changing climate conditions, there is a need to develop methods able to effectively combine weather information with genotype data to predict the performance of lines better. In this work, we develop a novel …