Digital Commons Network^™

Value Added By Using Joint Displays In Mixed Methods Research, Elizabeth Svoboda

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Mixed methods research collects, analyzes, and integrates rigorous qualitative and quantitative methods to gain a deeper understanding of a phenomenon than would be gained by using either method alone. Integration is one of the key features of mixed methods research and consists of mixing qualitative and quantitative research in a systematic way to generate new inferences or follow-up studies. However, the process of integration can be challenging to draw on expertise in both qualitative and quantitative methods, decide when and how to integrate qualitative and quantitative research, and combine multiple data sources in a coherent way to generate new inferences. …

Bridging Domain Gaps For Cross-Spectrum And Long-Range Face Recognition Using Domain Adaptive Machine Learning, Cedric Armel Nimpa Fondje

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Face recognition technology has witnessed significant advancements in recent decades, enabling its widespread adoption in various applications such as security, surveillance, and biometrics applications. However, one of the primary challenges faced by existing face recognition systems is their limited performance when presented with images from different modalities or domains( such as infrared to visible, long range to close range, nighttime to daytime, profile to f rontal, etc.) Additionally, advancements in camera sensors, analytics beyond the visible spectrum, and the increasing size of cross-modal datasets have led to a particular interest in cross-modal learning for face recognition in the biometrics and …

A Multi-Organ Maize Metabolic Model Connects Temperature Stress With Energy Production And Reducing Power Generation, Niaz Bahar Chowdhury, Margaret Simons- Senftle, Berengere Decouard, Isabelle Quillere, Martine Rigault, Karuna Anna Sajeevan, Bibek Acharya, Ratul Chowdhury, Bertrand Hirel, Alia Dellagi, Costas Maranas, Rajib Saha

Department of Chemical and Biomolecular Engineering: Faculty Publications

Climate change has adversely affected maize productivity. Thereby, a holistic understanding of metabolic crosstalk among its organs is important to address this issue. Thus, we reconstructed the first multi-organ maize metabolicmodel, iZMA6517, and contextualized itwith heat and cold stress transcriptomics data using expression distributed reaction flux measurement (EXTREAM) algorithm. Furthermore, implementing metabolic bottleneck analysis on contextualized models revealed differences between these stresses. While both stresses had reducing power bottlenecks, heat stress had additional energy generation bottlenecks.We also performed thermodynamic driving force analysis, revealing thermodynamics-reducing power-energy generation axis dictating the nature of temperature stress responses. Thus, a temperaturetolerant maize ideotype can …

Soft Microreactors For The Deposition Of Microstructures And The Related Surface Chemistries Of Polymeric Materials, Jessica Wagner

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The precise control over small volumes of liquids is of great interest to various fields such as biotechnology, drug development, and diagnostics. Working at small scales reduces cost, time, and waste, which is why microfluidic lab-on-chip technologies have become popular in a wide range of industries and applications. Additionally, there are differences in properties such as mass transport and heat dissipation at the micron scale compared to in bulk. Microfluidic devices contain several interfaces to consider when preparing to fabricate devices. The substrate/device, substrate/solution, and solution/device interfaces are all of importance and must carefully be tuned depending on the desired …

The Casnr L.I.N.K.S. Newsletter: Learning Innovation Network For K-12 Schools, Volume 2, Edition 10, November 2023, Bailey Feit, Tammy Mittelstet

CASNR L.I.N.K.S. Newsletter

The purpose of this L.I.N.K.S. newsletter is to provide a monthly update of opportunities and resources for K-12 schools to connect with the University of Nebraska's CASNR Food, Energy, Water, and Societal Systems (FEWS²) programs and partners.

Included in this edition:

UNL Institute of Agriculture and Natural Resources, Agricultural Economics, high school commodity market curriculum

UNL CASNR Changemaker competition

UNL Department of Food Science and Technology

Health system innovators spotlight

UNL Department of Biochemistry

UNL Department of Microbiology

Student and teacher opportunities:

Engler Agribusiness, Native American Coalition, Next Black and Hispanic Farmers Scholarship, World Food Prize Youth Institute scholarship, Midwest …

Hydroxyapatite-Based Coatings On Silicon Wafers And Printed Zirconia, Antoine Chauvin

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

Dental surgery needs a naturally attract implant design that can ensure both osseointegration and soft tissue integration. Hydroxyapatite (HAp), the main mineral constituent of dentine and tooth enamel, is commonly used as a coating component, notably for overlaying titanium– or ceramics–based implants. This thesis aims to investigate the behavior of a HAp-based coating, specifically designed to be compatible with a porous substrate. Coating layers are made by sol–gel dip coating by immersion of porous substrates made by additive manufacturing into solutions of HAp, having been mixed with polyethyleneimine (PEI), to improve the adhesion of HAp on the substrate. First, the …

Analysis Of Bombyx Mori Silk And Polyimide Nanofibers, Sabrina Leseul

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

This thesis presents a study on the properties of Bombyx Mori silk nanofibers and polyimide (PI) nanofibers. Firstly, a Bombyx Mori silk solution has been created with degummed silkworm cocoons in order to separate the fibroin and the sericin, the two main proteins of the silk. The fibroin was then centrifuged to remove insoluble particles and stored and 4°C before mixing with hexafluoroisopropanol (HFIP). On the second part, a polyimide solution, made with shavings of polyimide and N,N-dimethylformamide (DMF). Both solutions are then electrospun. Electrospinning parameters are studied. In this way, a part of my thesis has been dedicated to …

Applications Of Femtosecond Laser-Processed And Nanoneedle-Synthesized Surfaces To Enhance Pool Boiling Heat Transfer, Peter Efosa Ohenhen

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

In the present work, the integration of femtosecond laser surface processing (FLSP) with copper hydroxide on hybrid surfaces was examined. The goal was to determine the impact on pool boiling enhancement. The samples for the investigation were fabricated by first functionalizing with FLSP, and the process was then followed by citric acid cleaning (CAC) to eliminate the oxides generated on the copper surface during the FLSP process. After the citric acid cleaning, the samples were immersed in ethanol and subjected to an ultrasonic bath for 25 minutes. This step was performed to eliminate any residual citric acid and loose particles. …

Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou

School of Computing: Dissertations, Theses, and Student Research

Previous efforts in using genome-wide analysis of transcription factor binding sites (TFBSs) have overlooked the importance of ranking potential significant regulatory regions, especially those with repetitive binding within a local region. Identifying these homogenous binding sites is critical because they have the potential to amplify the binding affinity and regulation activity of transcription factors, impacting gene expression and cellular functions. To address this issue, we developed an open-source tool Motif-Cluster that prioritizes and visualizes transcription factor regulatory regions by incorporating the idea of local motif clusters. Motif-Cluster can rank the significant transcription factor regulatory regions without the need for experimental …

Transportation Components Of The City Of Bennet Comprehensive Plan And Downtown Economic Development Plan, Kyle Mclaughlin

Community and Regional Planning Program: Theses

In partnership with the City of Bennet, the University of Nebraska, and Marvin Planning Consultants, this project assisted the creation of the City’s Comprehensive Plan and Downtown Economic Development Plan by creating a transportation focused report as a supplement to those plans. The project operates in six sections; Introduction and Overview, Evaluate the Present, Engage the Community, Recommendations, Strategies, and Policies, Implementation and Funding, and Monitoring and Evaluation. The project scope included existing conditions understanding, qualitative and quantitative transportation analysis, public engagement and stakeholder meetings, coordination with two plan creators, identifying transportation improvements, description of implementation steps, overview of available …

Continuous Time Recurrent Network For Human Activity Detection, Abdallah Al Zubi

Durham School of Architectural Engineering and Construction: Dissertations, Theses, and Student Research

Human activity detection is crucial to personalize the control of the building environment. For example, understanding certain human activities (e.g., walking, sitting, etc.) for an occupant in a building helps provide the proper thermal comfort control. However, these applications require large-scale neural networks that are challenging to implement and train.

In this thesis, we implemented a continuous-time recurrent neural network implementation (CTRNN) network that can solve real-time human activity detection with a smaller-size network. The CTRNN uses differential equations with a time constant to describe the neuron equations. It was implemented and trained for the first time using TensorFlow. Specifically, …

Characterization Of Adipocyte Mechanical Properties And Stretch Control Of Mechanosignaling In Adipocytes, Tasneem Bouzid

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Obesity has reached global epidemic levels in recent decades and is the leading risk factor for type-2 diabetes (T2D). Adipose tissue behaves as a link between obesity and T2D, with dysfunctional extracellular matrix (ECM) remodeling, adipokine secretion and lipid metabolism leading to insulin resistance. The extracellular mechanophysical milieus is understood to regulate adipocyte differentiation and function through activation of mechanosensory machinery and related pathways. Therefore, exploring the adipocytic response to mechanical loading can provide great pathophysiological insight into obesity and T2D.

Adipose tissue is exposed to various compound forces due to weight-bearing and movement, and adipocyte stiffness influences stress distribution …

Low-Power, Event-Driven System On A Chip For Charge Pulse Processing Applications, Joseph Schmitz

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation presents an electronic architecture and methodology capable of processing charge pulses generated by a range of sensors, including radiation detectors and tactile synthetic skin. These sensors output a charge signal proportional to the input stimulus, which is processed electronically in both the analog and digital domains. The presented work implements this functionality using an event-driven methodology, which greatly reduces power consumption compared to standard implementations. This enables new application areas that require a long operating time or compact physical dimensions, which would not otherwise be possible. The architecture is designed, fabricated, and tested in the aforementioned applications to …

Precipitation And Greenness In Pastoral Lands Of East Turkana, Kenya, Paul Akpejeluh

School of Natural Resources: Dissertations, Theses, and Student Research

Pastoralism has long supported livelihoods and provided essential ecosystem services in landscapes of East Africa. Vegetation productivity is central to the functioning of pastoral systems but may be affected by changes in climate and landuse. Vegetation monitoring is important for understanding the effects of global change in pastoral lands; however, it can be time and resource intensive. Remote sensing provides opportunities for efficient multi-scale monitoring of vegetation and climatic drivers. In this thesis, I explore the utility of satellite and UAV remote sensing for monitoring vegetation and precipitation trends and relationships in the East of Lake Turkana Region of northern …

Comparison Of Ceneb And Cohyst Hydrologic Models Within A Common Domain In Central Nebraska, William R. Moak

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

The Nebraska Department of Natural Resources (NDNR) has developed several hydrologic models to help effectively manage water resources in the state. These models guide water managers to allocate surface and groundwater supplies to a range of uses (irrigation, environmental protection, interstate water agreements) and evaluate the impacts of changes to the surface water-groundwater system (e.g., new wells, evolving recharge patterns). Two such models, the Central Nebraska (CENEB) model and the Cooperative Hydrology Study (COHYST) model cover north central and south central Nebraska, respectively, but the model domains overlap along a west-east strip between the Platte and Loup Rivers, enabling direct …

Off The Rails: Cinematic Trains As Technological Controls Of The Natural World, Trinity Thompson

Honors Program: Senior Projects (Public)

Short train rail lines across the United States are seeing increased national funding to reduce toxic chemical spills caused by train derailments, the most notable of which happened in February 2023 in East Palestine, Ohio. A year prior, the film White Noise (2022) featured a similar toxic train derailment incident, taking place, too, in Eastern Ohio, and featuring actors from the town of East Palestine. In considering other films featuring trains, I identified a pattern of environmental conflict, leading me to question the relationship between trains and the natural environment as portrayed in popular cinema. To conduct my research, I …

Classifying Diseases Affecting Gait With Body Acceleration-Based Machine Learning Models, Mohammad Ali Takallou

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This Ph.D. dissertation introduces a comprehensive framework designed to harness acceleration data as a uniquely valuable tool for early disease classification, specifically focusing on gait-related diseases. In the modern healthcare landscape, timely and accurate classification of such diseases is paramount, as it can significantly impact treatment outcomes and patient quality of life.

As a compelling case study, we conducted a meticulous experiment to identify individuals afflicted with peripheral artery disease (PAD) and classify them from those without PAD. Our framework leverages acceleration data extracted from strategically placed anatomical reflective markers, including locations such as the sacrum, to train sophisticated classification …

Biomimetic Approach To Elucidate The Role Of Microenvironment In Regulating Cell Communications In Liver Diseases, Youra Moeun

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Liver is a complex organ but often underappreciated for its functions to remove toxins and fight infection in the body. Despite the ongoing prevalence of patients contracting chronic liver diseases, coupled with a global healthcare investment of approximately $70 billion, there is still no effective treatment for chronic liver diseases including alcoholic liver disease. The purpose of this dissertation was to understand the interactions of parenchymal and non-parenchymal liver cells in physiological and pathological like environments. This allowed us to recreate a healthy and the diseased microenvironments to observe the stages of the liver diseases development and apply appropriate treatments …

Modeling Overdraft-Driven Nitrate Transport In Shallow Wells For Mitigation And Scenario Planning, Jonathan Cronk

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

In Nebraska, average nitrate concentrations in groundwater have doubled since 1974, making water quality management more important than ever. As droughts, heat waves, and floods become more common climate events, understanding their impacts will be necessary to make informed management decisions. Emerging literature describes that drought correlates to an increase in the concentration of nitrate-N at domestic and irrigation wells, however the relative contributions of the mechanisms thought to be responsible is currently unknown.

This research assessed the impact of recharge and pumping rate changes as two mechanisms affecting nitrate-N concentration during drought, assessed the relationship between well depth and …

Development And Psychometric Validation Of The Pandemic-Related Traumatic Stress Scale For Children And Adults, Courtney K. Blackwell, Phillip Sherlock, Kathryn L. Jackson, Julie A. Hofheimer, David Cella, Molly A. Algermissen, Akram N. Alshawabkeh, Lyndsay A. Avalos, Tracy Bastain, Clancy Blair, Michelle Bosquet Enlow, Patricia A. Brennan, Carrie Breton, Nicole R. Bush, Aruna Chandran, Shaina Collazo, Elisabeth Conradt, Sheila E. Crowell, Sean Deoni, Amy J. Elliott, Jean A. Frazier, Jody M. Ganiban, Diane R. Gold, Julie B. Herbstman, Christine Joseph, Margaret R. Karagas, Barry Lester, Jessica A. Lasky-Su, Leslie D. Leve, Kaja Z. Lewinn, W. Alex Mason, Elisabeth C. Mcgowan, Kimberly S. Mckee, Rachel L. Miller, Jenae M. Neiderhiser, Thomas G. O’Connor, Emily Oken, T. Michael O’Shea, David Pagliaccio, Rebecca J. Schmidt, Anne Marie Singh, Joseph B. Stanford, Leonardo Trasande, Rosalind J. Wright, Cristiane S. Duarte, Amy E. Margolis

Department of Child, Youth, and Family Studies: Faculty Publications

To assess the public health impact of the COVID-19 pandemic on mental health, investigators from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program developed the Pandemic-Related Traumatic Stress Scale (PTSS). Based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) acute stress disorder symptom criteria, the PTSS is designed for adolescent (13–21 years) and adult self-report and caregiver-report on 3–12-year-olds. To evaluate psychometric properties, we used PTSS data collected between April 2020 and August 2021 from non-pregnant adult caregivers (n = 11,483), pregnant/postpartum individuals (n = 1,656), …

Navigating Risk In Vendor Data Privacy Practices: An Analysis Of Elsevier's Sciencedirect, Becky Yoose, Nick Shockey

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

As libraries transitioned from buying materials to licensing content, serious threats to privacy followed. This change shifted more control over library user data (and whether it is collected or kept at all) from the local library to third-party vendors, including personal data about what people search for and what they read. This transition has further reinforced the move by some of the largest academic publishers to move beyond content and become data analytics businesses that provide platforms of tools used throughout the research lifecycle that can collect user data at each stage. These companies have an increasing incentive …

Report To The U. S. Congress On Financing Mechanisms For Open Access Publishing Of Federally Funded Research, White House Office Of Science And Technology Policy

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary The White House Office of Science and Technology Policy (OSTP) submits this report to the Appropriations Committees of the Senate and the House in fulfillment of the requirement in the Committee Report accompanying the Consolidated Appropriations Act, 2023 (P.L. 117-328) for financing mechanisms for open access publishing of federally funded research.1 According to that Report, “The Committee recognizes the considerable progress made by OSTP” and “encourages OSTP to continue its efforts to coordinate the implementation of public access policies across Federal departments and agencies and to identify additional opportunities to enhance access to the results of Federally funded …

Why Domain-Specific Science Knowledge Matters In Teacher Certification: Focusing On Evidence For Effective Science Teaching (Revised Version), Elizabeth B. Lewis, Lyrica L. Lucas, Amy Tankersley, Elizabeth Hasseler

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

The landscape of teacher preparation is complex. From a research perspective, how to prepare teachers presents as a multilevel, multivariable puzzle. For decades, federal and state policymakers, educational researchers, and administrators, along with teacher education institutions, school districts, and other stakeholders have tried to determine and measure the key malleable factors that result in effective teaching (NRC, 2010).

Periodically, state departments of education review secondary science teaching endorsement policy guidelines. As revisions occur, teacher educators in higher education and district administrators need to engage in a multidisciplinary discussion about:

1. the ways in which strong domain-specific science content knowledge contributes …

Challenges And Strategies In Weed And Herbicide Management For Industrial Hemp, Milos Zaric

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Renewed interest in industrial hemp (Rosales, Cannabinaceae, Cannabis sativa L.) production in the United States, driven by recent legislative changes, including the Agriculture Act of 2014 and Agriculture Improvement Act of 2018, has sparked opportunities across various industries, from textiles to pharmaceuticals. With a specific focus on the High Plains climate, this research aims to inform growers about the feasibility of integrating industrial hemp into or nearby existing corn and soybean fields, crucial for those considering starting or expanding their production.

The research is structured into three primary studies:

1. Herbicide Drift Sensitivity (Chapter 2): Assessing the risk of physical …

Meta-Analysis Of Insulated Concrete Wall Panel Design Methods For Shear And Flexure Behavior, Maryam Al-Bayati

Durham School of Architectural Engineering and Construction: Dissertations, Theses, and Student Research

Insulated Concrete wall panels have been designed and constructed since the early 1950s with various shear ties, dimensions, and methods; nonetheless, thermal bridging and rational design are still a concern. Many companies have recently developed plastic connectors that have gradually replaced solid concrete sections and steel connectors due to their superior thermal efficiency and strength. However, there is no generally accepted method for predicting the behavior of sandwich wall panels in structural engineering practice or codes, but many methods have been used since the early 1920. This study aims to evaluate the accuracy of current methods for predicting the flexural …

Uv Dynamics Of Different Ring Molecules Studied By Ultrafast Electron Diffraction, Sajib Kumar Saha

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Understanding natural light-induced phenomena requires a direct viewing of atomic motion during structural evolution, which, in turn, facilitates controlling and manipulating these light-induced processes. Ultrafast Electron Diffraction (UED) is a structure-sensitive technique that can probe electronic and nuclear dynamics at sub-angstrom spatial and femtosecond time scales. UED has become a vital tool for studying photo-induced molecular dynamics and underlying science. Organic ring systems are prevalent in biology, materials, and pharmaceuticals. Their synthesis and transformation are fundamental in synthetic chemistry, influencing various fields. We used UV photons to photo-excite different cyclic molecules and investigated their photo-dynamics using gas phase UED. The …

A Generalized Machine Learning-Based Classifier Considering Cost-Effective Features For Automated Fault Detection And Diagnosis (Afdd) Of Packaged Rooftop Units, Md Rasel Uddin

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Packaged rooftop units (RTUs) are widely used for space conditioning in commercial buildings and manufacturing facilities. The typical soft faults related to RTUs degrade the system's performance in terms of cooling capacity, power consumption, and Coefficient of Performance (COP), detrimentally affecting both the equipment and energy consumption and the environment. Previous research in soft fault detection for rooftop units lacked classifier validation using lab and field data, developing a generalizable algorithm, and analyzing its performance across varying fault intensities.

Using a simulated data library for multiple rooftop units, this study proposes a machine-learning classifier with a reduced set of 9 …

A Review On The Coalescence Of Confined Drops With A Focus On Scaling Laws For The Growth Of The Liquid Bridge, Sangjin Ryu, Haipeng Zhang, Udochukwu John Anuta

Department of Mechanical and Materials Engineering: Faculty Publications

The surface–tension-driven coalescence of drops has been extensively studied because of the omnipresence of the phenomenon and its significance in various natural and engineering systems. When two drops come into contact, a liquid bridge is formed between them and then grows in its lateral dimensions. As a result, the two drops merge to become a bigger drop. The growth dynamics of the bridge are governed by a balance between the driving force and the viscous and inertial resistances of involved liquids, and it is usually represented by power–law scaling relations on the temporal evolution of the bridge dimension. Such scaling …

Osc-Co2: Coattention And Cosegmentation Framework For Plant State Change With Multiple Features, Rubi Quiñones, Ashok Samal, Sruti Das Choudhury, Francisco Muñoz-Arriola

School of Computing: Faculty Publications

Cosegmentation and coattention are extensions of traditional segmentation methods aimed at detecting a common object (or objects) in a group of images. Current cosegmentation and coattention methods are ineffective for objects, such as plants, that change their morphological state while being captured in different modalities and views. The Object State Change using Coattention-Cosegmentation (OSC-CO²) is an end-to-end unsupervised deep-learning framework that enhances traditional segmentation techniques, processing, analyzing, selecting, and combining suitable segmentation results that may contain most of our target object’s pixels, and then displaying a final segmented image. The framework leverages coattention-based convolutional neural networks (CNNs) and …

Executive Order On The Safe, Secure, And Trustworthy Development And Use Of Artificial Intelligence, Joseph R. Biden

Copyright, Fair Use, Scholarly Communication, etc.

Section 1. Purpose. Artificial intelligence (AI) holds extraordinary potential for both promise and peril. Responsible AI use has the potential to help solve urgent challenges while making our world more prosperous, productive, innovative, and secure. At the same time, irresponsible use could exacerbate societal harms such as fraud, discrimination, bias, and disinformation; displace and disempower workers; stifle competition; and pose risks to national security. Harnessing AI for good and realizing its myriad benefits requires mitigating its substantial risks. This endeavor demands a society-wide effort that includes government, the private sector, academia, and civil society.

My Administration places the highest urgency …