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Articles 1951 - 1980 of 30384
Full-Text Articles in Entire DC Network
Ultrafast Electron Diffraction: Visualizing Dynamic States Of Matter, D. Filippetto, P. Musumeci, R. K. Li, B. J. Siwick, M. R. Otto, Martin Centurion, J. P. F. Nunes
Ultrafast Electron Diffraction: Visualizing Dynamic States Of Matter, D. Filippetto, P. Musumeci, R. K. Li, B. J. Siwick, M. R. Otto, Martin Centurion, J. P. F. Nunes
Department of Physics and Astronomy: Faculty Publications
Since the discovery of electron-wave duality, electron scattering instrumentation has developed into a powerful array of techniques for revealing the atomic structure of matter. Beyond detecting local lattice variations in equilibrium structures with the highest possible spatial resolution, recent research efforts have been directed toward the long-sought-after dream of visualizing the dynamic evolution of matter in real time. The atomic behavior at ultrafast timescales carries critical information on phase transition and chemical reaction dynamics, the coupling of electronic and nuclear degrees of freedom in materials and molecules, and the correlation among structure, function, and previously hidden metastable or nonequilibrium states …
Behavior Of Completely Automated Evapotranspiration Estimation (Eemetric), Atiqullah Atif
Behavior Of Completely Automated Evapotranspiration Estimation (Eemetric), Atiqullah Atif
Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research
Evapotranspiration (ET) is the second-largest component in the water balance equation, globally consuming 70% of the earth’s annual precipitation. Accurate and consistent estimation of ET is essential for ensuring water resources sustainability, proper management, planning, and regulations of water resources. Though a 100% accurate estimation of ET may not be feasible with the current technology, there are proven techniques that give us estimates of ET we can heavily rely on. Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) is a widely used surface energy balance model that produces relatively accurate ET maps utilizing remote sensing data and requires skilled …
Northwestern Mutual Strategic Audit, Eleazar Oceguera
Northwestern Mutual Strategic Audit, Eleazar Oceguera
Honors Program: Senior Projects (Public)
Northwestern Mutual is one of the largest financial advising firms in the US. It provides holistic financial advising, which includes life insurance, investments, and retirement planning. It is the largest life insurance provider and is top ten in investment planning. This report investigates the internal and external analysis of Northwestern Mutual business models and the strategies it has incorporated to sustain a competitive advantage in the constantly evolving wealth management sector. This report explicitly focuses on the life insurance sector of the business. There are two main tools used to analyze the external environment are Porter's Five Forces and the …
Poisson Hurdle Model-Based Method For Clustering Microbiome Features, Zhili Qiao, Elle Barnes, Susannah Tringe, Daniel P. Schachtman, Peng Liu
Poisson Hurdle Model-Based Method For Clustering Microbiome Features, Zhili Qiao, Elle Barnes, Susannah Tringe, Daniel P. Schachtman, Peng Liu
Department of Agronomy and Horticulture: Faculty Publications
Motivation: High-throughput sequencing technologies have greatly facilitated microbiome research and have generated a large volume of microbiome data with the potential to answer key questions regarding microbiome assembly, structure and function. Cluster analysis aims to group features that behave similarly across treatments, and such grouping helps to highlight the functional relationships among features and may provide biological insights into microbiome networks. However, clustering microbiome data are challenging due to the sparsity and high dimensionality.
Results: We propose a model-based clustering method based on Poisson hurdle models for sparse microbiome count data. We describe an expectation–maximization algorithm and a …
On The Firefly (Coleoptera: Lampyridae) Species Of Carl Linnaeus, Oliver Keller
On The Firefly (Coleoptera: Lampyridae) Species Of Carl Linnaeus, Oliver Keller
Insecta Mundi
The firefly species described by Carl Linnaeus in 1758 and 1767 (Coleoptera: Lampyridae) were checked to determine the actual dates of publication. Nine out of twelve species were originally described in 1758 and not in 1767 as published in the majority of firefly literature. Lampyris hespera Linnaeus, 1767 as a junior synonym of Aspisoma lampyris (Linnaeus, 1758) is established.
Se revisaron las especies de luciérnagas descritas por Carl Linnaeus in 1758 y 1767 (Coleoptera: Lampyridae) para la determinación de fechas de publicación. Nueve de las doce especies fueron originalmente descritas en 1758 y no en 1767 como aparece publicado en …
New Distributional Records For Mexican Cleridae (Coleoptera) With The Description Of Three New Species, Jacques Rifkind
New Distributional Records For Mexican Cleridae (Coleoptera) With The Description Of Three New Species, Jacques Rifkind
Insecta Mundi
New state records for 32 species of Mexican Cleridae (Coleoptera) are presented. In addition, 10 species of Cleridae are reported for Mexico for the first time (new country records). Cymatodera bezarki new species and Enoclerus sepultura new species are described from Chiapas, Mexico. Enoclerus primulus new species is described from Chiapas, Mexico and El Salvador.
Approximately 550 species of Cleridae are known from Mexico. These are divided among approximately 63 genera, of which the most speciose are Cymatodera Gray (ca. 110 species), Enoclerus Gahan (ca. 105 species) and Phyllobaenus Dejean (ca. 40 species). Faunistic studies are limited to Vaurie’s (1952) …
An Empirical Study On The Classification Of Python Language Features Using Eye-Tracking, Jigyasa Chauhan
An Empirical Study On The Classification Of Python Language Features Using Eye-Tracking, Jigyasa Chauhan
School of Computing: Dissertations, Theses, and Student Research
Python, currently one of the most popular programming languages, is an object-
oriented language that also provides language feature support for other programming
paradigms, such as functional and procedural. It is not currently understood how
support for multiple paradigms affects the ability of developers to comprehend that
code. Understanding the predominant paradigm in code, and how developers classify
the predominant paradigm, can benefit future research in program comprehension as
the paradigm may factor into how people comprehend that code. Other researchers
may want to look at how the paradigms in the code interact with various code smells.
To investigate how …
The Creation Of The Global Scales For Early Development (Gsed) For Children Aged 0–3 Years: Combining Subject Matter Expert Judgements With Big Data, Gareth Mccray, Dana Mccoy, Patricia Kariger, Magdalena Janus, Maureen M. Black, Susan M. Chang, Fahmida Tofail, Iris Eekhout, Marcus Waldman, Stef Van Buuren, Rasheda Khanam, Sunil Sazawal, Ambreen Nizar, Yvonne Schönbeck, Arsène Zongo, Alexandra Brentani, Yunting Zhang, Tarun Dua, Vanessa Cavallera, Abbie Raikes, Ann M. Weber, Kieran Bromley, Abdullah Baqui, Arunangshu Dutta, Imran Nisar, Symone B. Detmar, Romuald Anago, Pacifico Mercadante, Fan Jiang, Raghbir Kaur, Katelyn Hepworth, Marta Rubio-Codina, Samuel N. Kembou, Salahuddin Ahmed, Gill A. Lancaster, Melissa Gladstone
The Creation Of The Global Scales For Early Development (Gsed) For Children Aged 0–3 Years: Combining Subject Matter Expert Judgements With Big Data, Gareth Mccray, Dana Mccoy, Patricia Kariger, Magdalena Janus, Maureen M. Black, Susan M. Chang, Fahmida Tofail, Iris Eekhout, Marcus Waldman, Stef Van Buuren, Rasheda Khanam, Sunil Sazawal, Ambreen Nizar, Yvonne Schönbeck, Arsène Zongo, Alexandra Brentani, Yunting Zhang, Tarun Dua, Vanessa Cavallera, Abbie Raikes, Ann M. Weber, Kieran Bromley, Abdullah Baqui, Arunangshu Dutta, Imran Nisar, Symone B. Detmar, Romuald Anago, Pacifico Mercadante, Fan Jiang, Raghbir Kaur, Katelyn Hepworth, Marta Rubio-Codina, Samuel N. Kembou, Salahuddin Ahmed, Gill A. Lancaster, Melissa Gladstone
Department of Child, Youth, and Family Studies: Faculty Publications
Introduction With the ratification of the Sustainable Development Goals, there is an increased emphasis on early childhood development (ECD) and well-being. The WHO led Global Scales for Early Development (GSED) project aims to provide population and programmatic level measures of ECD for 0–3 years that are valid, reliable and have psychometrically stable performance across geographical, cultural and language contexts. This paper reports on the creation of two measures: (1) the GSED Short Form (GSED-SF)— a caregiver reported measure for population-evaluation— self-administered with no training required and (2) the GSED Long Form (GSED-LF)— a directly administered/observed measure for programmatic evaluation—administered by …
Utilization Of Gis In Tracking Disinterment And Movement Of Unknown Us Wwii War Dead: Foundations For A Geospatial Approach To Addressing Commingled Remains, Ella Axelrod
Department of Anthropology: Theses and Student Research
In the aftermath of World War II, the US was faced with the monumental task of finding and identifying over 405,000 service members who did not survive the conflict (McDermott, 2005, p. 1). Of these 405,000, 81,000 remain missing and 2,498 remain unidentified in cemeteries across Europe alone (American Battle Monuments Commission, 2022). Often, these individuals were interred and disinterred multiple times, crossing the continent in the journey from loss incident or battlefield to their final resting place. Commingling, the accidental mixing of remains, is an ever-present concern in the forensic identification of individuals from mass casualty incidents (Belcher et …
Vegetation Type Is An Important Predictor Of The Arctic Summer Land Surface Energy Budget, Jacqueline Oehri, Gabriela Schaepman-Strub, Jin Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie S. Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D. Blanken, Joshua F. Dean, Alcide Di Sarra, Richard J. Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, Julia Boike, Nathaniel B. Miller, Jason Beringer, Efrén López-Blanco, Paul C. Stoy, Ryan C. Sullivan, Marek Kejna, Frans Jan W. Parmentier, John A. Gamon, Mikhail Mastepanov, Christian Wille, Marcin Jackowicz-Korczynski, Dirk N. Karger, William L. Quinton, Jaakko Putkonen, Dirk Van As, Torben R. Christensen, Maria Z. Hakuba, Robert S. Stone, Stefan Metzger, Baptiste Vandecrux
Vegetation Type Is An Important Predictor Of The Arctic Summer Land Surface Energy Budget, Jacqueline Oehri, Gabriela Schaepman-Strub, Jin Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie S. Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D. Blanken, Joshua F. Dean, Alcide Di Sarra, Richard J. Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, Julia Boike, Nathaniel B. Miller, Jason Beringer, Efrén López-Blanco, Paul C. Stoy, Ryan C. Sullivan, Marek Kejna, Frans Jan W. Parmentier, John A. Gamon, Mikhail Mastepanov, Christian Wille, Marcin Jackowicz-Korczynski, Dirk N. Karger, William L. Quinton, Jaakko Putkonen, Dirk Van As, Torben R. Christensen, Maria Z. Hakuba, Robert S. Stone, Stefan Metzger, Baptiste Vandecrux
School of Natural Resources: Faculty Publications
Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values …
Late Quaternary Biotic Homogenization Of North American Mammalian Faunas, Danielle Fraser, Amelia Villaseñor, Anikó B. Tóth, Meghan A. Balk, Jussi T. Eronen, W. Andrew Barr, A. K. Behrensmeyer, Matt Davis, Andrew Du, J. Tyler Faith, Gary R. Graves, Nicholas J. Gotelli, Advait M. Jukar, Cindy V. Looy, Brian J. Mcgill, Joshua H. Miller, Silvia Pineda-Munoz, Richard Potts, Alex B. Shupinski, Laura C. Soul, S. Kathleen Lyons
Late Quaternary Biotic Homogenization Of North American Mammalian Faunas, Danielle Fraser, Amelia Villaseñor, Anikó B. Tóth, Meghan A. Balk, Jussi T. Eronen, W. Andrew Barr, A. K. Behrensmeyer, Matt Davis, Andrew Du, J. Tyler Faith, Gary R. Graves, Nicholas J. Gotelli, Advait M. Jukar, Cindy V. Looy, Brian J. Mcgill, Joshua H. Miller, Silvia Pineda-Munoz, Richard Potts, Alex B. Shupinski, Laura C. Soul, S. Kathleen Lyons
School of Biological Sciences: Faculty Publications
Biotic homogenization—increasing similarity of species composition among ecological communities—has been linked to anthropogenic processes operating over the last century. Fossil evidence, however, suggests that humans have had impacts on ecosystems for millennia. We quantify biotic homogenization of North American mammalian assemblages during the late Pleistocene through Holocene (~30,000 ybp to recent), a timespan encompassing increased evidence of humans on the landscape (~20,000–14,000 ybp). From ~10,000 ybp to recent, assemblages became significantly more homogenous (>100% increase in Jaccard similarity), a pattern that cannot be explained by changes in fossil record sampling. Homogenization was most pronounced among mammals larger than 1 …
Mango Surface Color Features Measurement Using Digital Image Processing, Md Towfiqur Rahman, Goutom Kumar, Md Abdul Momin
Mango Surface Color Features Measurement Using Digital Image Processing, Md Towfiqur Rahman, Goutom Kumar, Md Abdul Momin
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Summary
Postharvest processing of agricultural produce is still done the conventional way in Bangladesh. Manual grading of agricultural produce, especially fruits and vegetables, is laborious and costly due to acute shortage of labor during the peak season, as well as difficulty maintaining the product quality. Machine vision system (MVS) applications are widely used nowadays as a non-destructive and cost-effective technology for automatically grading and sorting large volumes of produce in the packing house according to size, shape, color, texture, and surface defects. In this study, a simple MVS was constructed measuring different color features of mango fruit surface as a …
Framework For The Use Of Extended Reality Modalities In Aec Education, Barbara Oliveira Spitzer, Jae Hoon Ma, Ece Erdogmus, Ben Kreimer, Erica Ryherd, Heidi Diefes-Dux
Framework For The Use Of Extended Reality Modalities In Aec Education, Barbara Oliveira Spitzer, Jae Hoon Ma, Ece Erdogmus, Ben Kreimer, Erica Ryherd, Heidi Diefes-Dux
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The educational applications of extended reality (XR) modalities, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), have increased significantly over the last ten years. Many educators within the Architecture, Engineering, and Construction (AEC) related degree programs see student benefits that could be derived from bringing these modalities into classrooms, which include but are not limited to: a better understanding of each of the subdisciplines and the coordination necessary between them, visualizing oneself as a professional in AEC, and visualization of difficult concepts to increase engagement, self-efficacy, and learning. These benefits, in turn, help recruitment and retention efforts …
Why Energy Efficiency Is Needed In Rwanda, Jean Ishinzibigwi
Why Energy Efficiency Is Needed In Rwanda, Jean Ishinzibigwi
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
Perspective on the benefits of energy efficiency and cost savings on energy was changed by the experience of working with the Nebraska Industrial Assessment Center. Visiting various industrial locations in Nebraska to see how different energy-saving techniques are employed to save money on energy costs and reduce energy waste. Rwanda can put several ideas into action to lessen the energy loss, which is too much now.
The government's Ministry of Infrastructure (MININFRA) and other departments are crucial to Rwanda's energy sector. The primary ministry in charge of developing renewable energy is MININFRA (methane, peat, geothermal, solar and wind energy). The …
Analysis Of U.S. Epa’S Green House Gas Equations C-8, Y-4, H-1, And C-1, F. Gregory Hayden
Analysis Of U.S. Epa’S Green House Gas Equations C-8, Y-4, H-1, And C-1, F. Gregory Hayden
Department of Economics: Faculty Publications
EPA’s GREEN HOUSE GAS EQUATION (C-8) FOR METHANE Methane is a crucial greenhouse gas that substantially affects the environment. And that is why there are several mentions of methane under different subparts of 40 CFR Part 98. Even though there are several different formulas to calculate the methane emission, all of those somehow represent the same approach behind them.
MATHEMATICAL ANALYSIS OF EQUATION C-8
GRAPHICAL REPRESENTATION OF EQUATION C-8
CRTICAL ANALYSIS OF EQUATION C-8
MATHEMATICAL ANALYSIS OF EQUATION Y-4
GRAPHICAL REPRESENTATION OF EQUATION Y-4
CALCULATING GHG EMISSION FROM CEMENT PRODUCTION
MATHEMATICAL ANALYSIS OF EQUATION H-1
GHG EMISSION FROM ETHANOL
Increased Bundle-Sheath Leakiness Of Co2 During Photosynthetic Induction Shows A Lack Of Coordination Between The C4 And C3 Cycles, Yu Wang, Samantha S. Stutz, Carl J. Bernacchi, Ryan A. Boyd, Donald R. Ort, Stephen P. Long
Increased Bundle-Sheath Leakiness Of Co2 During Photosynthetic Induction Shows A Lack Of Coordination Between The C4 And C3 Cycles, Yu Wang, Samantha S. Stutz, Carl J. Bernacchi, Ryan A. Boyd, Donald R. Ort, Stephen P. Long
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
Use of a complete dynamic model of NADP-malic enzyme C4 photosynthesis indicated that, during transitions from dark or shade to high light, induction of the C4 pathway was more rapid than that of C3, resulting in a predicted transient increase in bundle-sheath CO2 leakiness (ϕ). Previously, ϕ has been measured at steady state; here we developed a new method, coupling a tunable diode laser absorption spectroscope with a gas-exchange system to track ϕ in sorghum and maize through the nonsteady-state condition of photosynthetic induction. In both species, ϕ showed a transient increase to > 0.35 before declining to a steady state …
¿Aviso O Alerta? Developing Effective, Inclusive, And Consistent Watch And Warning Translations For U.S. Spanish Speakers, Joseph E. Trujillo-Falcón, América R. Gaviria Pabón, Joseph T. Ripberger, Abby Bitterman, Jonathan B. Thornton, Mackenzie J. Krocak, Sean R. Ernst, Estilita Cassiani Obeso, John Lipski
¿Aviso O Alerta? Developing Effective, Inclusive, And Consistent Watch And Warning Translations For U.S. Spanish Speakers, Joseph E. Trujillo-Falcón, América R. Gaviria Pabón, Joseph T. Ripberger, Abby Bitterman, Jonathan B. Thornton, Mackenzie J. Krocak, Sean R. Ernst, Estilita Cassiani Obeso, John Lipski
National Oceanographic and Atmospheric Administration: Technical Reports and Related Materials
Spanish-speaking populations in the United States are more vulnerable in disaster contexts due to inequities, such as language barriers, that prevent them from receiving life-saving information. For the past couple of decades, governmental organizations have addressed these issues by translating weather watches, warnings, and advisories into Spanish. Previous studies suggest that these Spanish translations do not communicate the same level of urgency as their English counterparts. To identify whether these translated products result in inequities between English and Spanish speaker reception and comprehension of forecast information, we asked a representative sample of U.S. English (n = 1,550) and Spanish (n …
Multi-Criteria Decision Matrix Method In The Risk Analysis Of Biodiesel Production Processes, Kaylee Alles
Multi-Criteria Decision Matrix Method In The Risk Analysis Of Biodiesel Production Processes, Kaylee Alles
Department of Chemical and Biomolecular Engineering: Dissertations, Theses, and Student Research
Renewable fuel technologies aim to mitigate the non-renewability of fossil fuels, challenges with increased energy demand, and the climate impact of fossil fuel emissions. However, before investing in renewable technologies, there need to be decision strategies that assess and identify the best alternatives according to stakeholder priorities. There is also a concern about whether the technologies that are the “most sustainable” effectively meet the acceptable risk requirements of stakeholders. In response to this question, a risk-adapted multi-criteria decision model was developed and compared to a sustainability study that evaluated five renewable diesel technologies, including Green Diesel I, II, and III; …
Prediction Of Meltpool Depth In Laser Powder Bed Fusion Using In-Process Sensor Data, Part-Level Thermal Simulations, And Machine Learning, Grant King
Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research
The goal of this thesis is the prevention of flaw formation in laser powder bed fusion additive manufacturing process. As a step towards this goal, the objective of this work is to predict meltpool depth as a function of in-process sensor data, part-level thermal simulations, and machine learning. As motivated in NASA's Marshall Space Flight Center specification 3716, prediction of meltpool depth is important because: (1) it can serve as a surrogate to estimate process status without the need for expensive post-process characterization, and (2) the meltpool depth provides an avenue for rapid qualification of microstructure evolution. To achieve the …
Sequence-Based Bioinformatics Approaches To Predict Virus–Host Relationships In Archaea And Eukaryotes, Yingshan Li
Sequence-Based Bioinformatics Approaches To Predict Virus–Host Relationships In Archaea And Eukaryotes, Yingshan Li
School of Computing: Dissertations, Theses, and Student Research
Viral metagenomics is independent of lab culturing and capable of investigating viromes of virtually any given environmental niches. While numerous sequences of viral genomes have been assembled from metagenomic studies over the past years, the natural hosts for the majority of these viral contigs have not been determined. Different computational approaches have been developed to predict hosts of bacteria phages. Nevertheless, little progress has been made in the virus-host prediction, especially for viruses that infect eukaryotes and archaea. In this study, by analyzing all documented viruses with known eukaryotic and archaeal hosts, we assessed the predictive power of four computational …
Identifying How Summer Camp Experiences Affect Children’S Environmental Literacy, Quinn Kimbell
Identifying How Summer Camp Experiences Affect Children’S Environmental Literacy, Quinn Kimbell
Department of Environmental Studies: Undergraduate Student Theses
Ensuring that children are prepared for environmental issues in the future can be aided by building the skill of environmental literacy. A key factor in building this skill is having natural experiences and creating one’s connection and perception of the environment. This paper aims to identify if summer camps increase children’s perception of the environment. This was completed by testing children with an environmental perception survey (Children’s Environmental Perception Scale) before and after attending a summer camp and assessing environmental pollution knowledge through drawing (modified Draw-An-Environment Test). The rural Nebraska summer camp subjected the children to many outdoor experiences, including …
A Low-Power, Low-Area 10-Bit Sar Adc With Length-Based Capacitive Dac, Zhili Pan
A Low-Power, Low-Area 10-Bit Sar Adc With Length-Based Capacitive Dac, Zhili Pan
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
A 2.5 V single-ended 10-bit successive-approximation-register analog-to-digital converter (SAR ADC) based on the TSMC 65 nm CMOS process is designed with the goal of achieving low power consumption (33.63 pJ/sample) and small area (2874 µm^2 ). It utilizes a novel length-based capacitive digital-to-analog converter (CDAC) layout to achieve low total capacitance for power efficiency, and a custom static asynchronous logic to free the dependence on a high-frequency external clock source. Two test chips have been designed and the problems found through testing the first chip are analyzed. Multiple improved versions of the ADC with minor variations are implemented on the …
Measuring Acoustic Nonlinearity Of Elastic Materials Using Thermal Modulation Of Ultrasonic Waves, Bibo Zhong
Measuring Acoustic Nonlinearity Of Elastic Materials Using Thermal Modulation Of Ultrasonic Waves, Bibo Zhong
Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research
Nonlinear acoustic techniques have been used to determine the nonlinear properties of materials. Existing methods either require complex equipment to measure absolute nonlinear coefficients or can only be used on laboratory-sized specimens. A recently developed thermal modulation method addresses the limitations of existing methods, but further theoretical analysis and validation are required.
In this dissertation, theoretical analyses were first conducted to study the mechanically and thermally induced acoustoelastic effect. Beginning with the wave equation, the relationship of the ultrasonic wave velocity with respect to mechanical strain and the thermal strain was derived in detail. These analyses provided theoretical support for …
Integrating Narratives With Digital Humanities Tools To Inform Holocaust Education Pedagogies, Beth S. Dotan
Integrating Narratives With Digital Humanities Tools To Inform Holocaust Education Pedagogies, Beth S. Dotan
College of Education and Human Sciences: Dissertations, Theses, and Student Research
Holocaust educators have a concern regarding how to learn and teach about the Holocaust after survivors and liberators are no longer alive to provide first-hand testimony. In response to this dilemma, I have developed a digital humanities web portal unique to Nebraska to preserve the survivors’ and liberators’ collective and individual memories. The Nebraska Holocaust Survivor & WWII Veteran Network and Educational Portal, the product for this dissertation, integrates local narratives with digital humanities frameworks to establish a dynamic, public platform and provide various educational opportunities. The site encourages engagement with online primary resources of Holocaust survivors and Nazi camp …
Evaluating The Efficacy Of Germination And Fermentation In Producing Biologically Active Peptides From Pulses, Ashley Newton
Evaluating The Efficacy Of Germination And Fermentation In Producing Biologically Active Peptides From Pulses, Ashley Newton
Department of Food Science and Technology: Dissertations, Theses, and Student Research
Recently, there has been a profound increase in demand of plant-based proteins, especially pulse proteins. However, pulses contain high concentrations of antinutritional factors that hinder the digestibility of proteins. Processing techniques such as enzymatic hydrolysis, microbial fermentation, and physical processing modulate nutritional quality and functionality of pulses. Processing also releases peptides from parent proteins that exhibit health-beneficial bioactivity against various disease risk factors. In this study, germination, gastrointestinal digestion, and microbial fermentation were evaluated to determine the nutritional quality and release of bioactive peptides during and after processing.
Germination of chickpeas (Cicer arietinum L.) modulated the protein profile, and …
Human And Hydrologic Influences On Nebraska's Endangered Rainwater Basin Wetlands, Sarah Thompson
Human And Hydrologic Influences On Nebraska's Endangered Rainwater Basin Wetlands, Sarah Thompson
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
Over half of wetlands in North America have been lost or degraded. Rainwater Basin (RWB) wetlands, located in south-central Nebraska, are a primary example of such loss; an estimated 90% have been destroyed by land conversion for agriculture. Remaining RWB wetlands are often embedded in row-crop fields, where they are threatened by altered surface water runoff flow, drainage features, and excess sediment inputs. Efforts at the state and federal level have been made to preserve this wetland complex due to the critical stopover habitat these wetlands provide for migratory birds. Land managers work to maintain sufficient water levels during migratory …
The Nebraska 4-H Equine Advancement Level Program’S Role In Positive Youth Development Using The Five Cs Model: An Exploratory Study, Eunhye Mccarthy
The Nebraska 4-H Equine Advancement Level Program’S Role In Positive Youth Development Using The Five Cs Model: An Exploratory Study, Eunhye Mccarthy
Department of Animal Science: Dissertations, Theses, and Student Research
Positive youth development (PYD) focuses on developing the strengths of youth through positive activities and behaviors rather than reducing negative tendencies. A well-researched model of PYD is the five C’s model that is popularly used in youth development organizations such as 4-H. The Nebraska 4-H Equine Advancement Level program was intended to serve as a guidebook for instruction and assessment of youth as they learn more about horses and horsemanship skills. Each of the four levels has an emphasis in developing a 4-H member’s responsibility, self-discipline, self-reliance, patience, and pride of accomplishments. The program was started approximately 30 years ago …
Deciphering The Genetic Architecture Of Key Female Floral Traits For Hybrid Wheat Seed Production, Juan David Jimenez
Deciphering The Genetic Architecture Of Key Female Floral Traits For Hybrid Wheat Seed Production, Juan David Jimenez
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Wheat (Triticum aestivum L.) is a staple cereal that provides 20% of the calories and proteins in human intake (Ray et al., 2013). Global population is projected to increase to 9.7 billion by 2050. Food production must increase by 70% to feed this future population. Wheat production is in crisis due to political and environmental challenges and is projected to decline by 0.8% in 2022 (FAO, 2022). To ensure food security yield genetic gain must increase by around 1.4% annually. Taking advantage of heterosis, hybrid wheat has the potential to boost grain yield. However, hybrid wheat seed production systems …
Quantifying The Relationship Between Soil Organic Carbon And Soil Color In Nebraska, Aldi J. Airori
Quantifying The Relationship Between Soil Organic Carbon And Soil Color In Nebraska, Aldi J. Airori
Applied Science Program: Theses
Soil color is easily measured in the field and holds potential to be used as an indirect measurement of soil organic carbon (SOC). The main limitation to this approach is knowledge about the specific color-SOC relationship in a region, which often varies in relation to parent material, soil texture, climate, and land use. Furthermore, the Munsell color data is subjective in nature. The objectives of this study are: 1) to develop and evaluate the accuracy of pedotransfer functions (PTFs) for the prediction of SOC based on soil color and texture in the state of Nebraska and 2) to evaluate digital …
Bevers: A General, Simple, And Performant Framework For Automatic Fact Verification, Mitchell Dehaven
Bevers: A General, Simple, And Performant Framework For Automatic Fact Verification, Mitchell Dehaven
School of Computing: Dissertations, Theses, and Student Research
Fact verification has become an important process, primarily done manually by humans, to verify the authenticity of claims and statements made online. Increasingly, social media companies have utilized human effort to debunk false claims on their platforms, opting to either tag the content as misleading or false, or removing it entirely to combat misinformation on their sites. In tandem, the field of automatic fact verification has become a subject of focus among the natural language processing (NLP) community, spawning new datasets and research. The most popular dataset is the Fact Extraction and VERification (FEVER) dataset. In this thesis an end-to-end …