Digital Commons Network^™

Healthcare Facilities: Maintaining Accessibility While Implementing Security, Ryan Vilter

UNO Student Research and Creative Activity Fair

In the wake of the Tulsa, Oklahoma hospital shooting in the summer of 2022, it was made clear that more security needed to be implemented in healthcare facilities. As a result, I inquired: What is the happy balance for healthcare facilities to maintain their accessibility to the public while also implementing security measures to prevent terrorist attacks? With that base, I give recommendations in the areas of cybersecurity, physical infrastructure, and physical and mental health, based off the existing literature and data gathered from terrorist attacks against hospitals over several decades.

The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy

UNO Student Research and Creative Activity Fair

Background: Disease of the lower extremity arteries (Peripheral Arterial Disease, PAD) is associated with high morbidity and mortality. During disease development, the arteries adapt by changing their diameter, wall thickness, and residual deformations, but the effects of demographics and risk factors on this process are not clear.

Methods: Superficial femoral arteries from 736 subjects (505 male, 231 female, 12 to 99 years old, average age 51±17.8 years) and the associated demographic and risk factor variables were used to construct machine learning (ML) regression models that predicted morphological characteristics (diameter, wall thickness, and longitudinal opening angle resulting from the …

Time Evolution Is A Source Of Bias In The Wolf Algorithm For Largest Lyapunov Exponents, Kolby Brink, Tyler Wiles, Nicholas Stergiou, Aaron Likens

UNO Student Research and Creative Activity Fair

Human movement is inherently variable by nature. One of the most common analytical tools for assessing movement variability is the largest Lyapunov exponent (LyE) which quantifies the rate of trajectory divergence or convergence in an n-dimensional state space. One popular method for assessing LyE is the Wolf algorithm. Many studies have investigated how Wolf’s calculation of the LyE changes due to sampling frequency, filtering, data normalization, and stride normalization. However, a surprisingly understudied parameter needed for LyE computation is evolution time. The purpose of this study is to investigate how the LyE changes as a function of evolution time …

Nurse Educators' Lived Experiences With Student Incivility, Myrna M. Williamson

Dissertations

Incivility is currently a topic of concern in nursing and higher education. There is a serious and growing concern on college campuses across the United States as many forms of incivility are occurring, ranging from offensive language and rude behavior to hostility and violent behavior.

The problem this study addresses is the need for specific information from nurse educators about their experiences with student incivility, and the subsequent impact of those experiences on teaching practices, job perception, and interactions with students. This study also addresses the problem by asking nurse educators their thoughts on contributing factors, warning signs, prevention and …

Global Dna Adenine Methylation In Caenorhabditis Elegans After Multigenerational Exposure To Silver Nanoparticles And Silver Nitrate, Anye Wamucho, Jason M. Unrine, John May, Olga V. Tsyusko

UK CARES Faculty Publications

Multigenerational and transgenerational reproductive toxicity in a model nematode Caenorhabditis elegans has been shown previously after exposure to silver nanoparticles (Ag-NPs) and silver ions (AgNO3 ). However, there is a limited understanding on the transfer mechanism of the increased reproductive sensitivity to subsequent generations. This study examines changes in DNA methylation at epigenetic mark N6-methyl-20 -deoxyadenosine (6mdA) after multigenerational exposure of C. elegans to pristine and transformed-via-sulfidation Ag-NPs and AgNO₃ . Levels of 6mdA were measured as 6mdA/dA ratios prior to C. elegans exposure (F₀) after two generations of exposure (F₂) and two generations of …

Studies On Bonding, Syntheses, And Applications Of Diarylhalonium Compounds, Shubhendu Karandikar

Dissertations and Theses

Organic compounds containing functionalized benzenoid rings have found tremendous applications in pharmaceuticals, agrochemicals, commodity chemicals, and beyond. As a result, development of methods for the synthesis of functionalized benzenoid rings has gained much attention from the synthetic community. Although many transition-metal mediated methods to functionalize benzenoid rings are known, there has been an upsurge of activity in developing protocols for decoration of benzenoid cores promoted by p-block elements. This excitement stems from the sustainability of earth-abundant elements and unique reactivity patterns observed within the p-block. Among these, transformations promoted by hypervalent halogen compounds, and especially, the diarylhalonium salts are very …

Realization Of Multi-Valued Logic Using Optical Quantum Computing, Sophie Choe

Dissertations and Theses

Quantum computing is a paradigm of computing using physical systems, which operate according to quantum mechanical principles. Since 2017, functioning quantum processing units with limited capabilities are available on the cloud. There are two models of quantum computing in the literature: discrete variable and continuous variable models. The discrete variable model is an extension of the binary logic of digital computing with quantum bits |0⟩ and |1⟩ . In the continuous variable model, the quantum state space is infinite-dimensional and the quantum state is expressed with an infinite number of basis elements.

In the physical implementation of quantum computing, however, …

Graphene Twistronics: Tuning The Absorption Spectrum And Achieving Metamaterial Properties, Ammar Armghan, Meshari Alsharari, Khaled Aliqab, Osamah Alsalman, Juveriya Parmar, Shobhit K. Patel

Department of Mechanical and Materials Engineering: Faculty Publications

Graphene twistronics using multilayer graphene is presented in such a way that it provides a metamaterial effect. This manuscript also analyzes the prediction of behavior using machine learning. The metamaterial effect is achieved by twisting the graphene layers. Graphene twistronics is a new concept for changing the electrical and optical properties of bilayer graphene by applying a small angle twist between the layers. The angle twists of 5^o, 10^o, and 15^o are analyzed for the proposed graphene twistronics design. Tuning in the absorption spectrum is achieved by applying small twists to the angles of the …

Community In The Online Science Classroom, Emily Faulconer

Publications

As online course offerings rise, it is important to design and facilitate courses to promote community so students feel connected to each other and the instructor and feel a sense of belonging as a scientist. Online discussions are a common feature for building and nurturing community and combating isolation. Discussions stimulate active learning, a strategy to promote participation in knowledge construction. This sense of community and science identity is important for both persistence and performance. I will share efforts to promote community while reducing extraneous cognitive load through discussion design and targeted instructor professional development. I will share data on …

Minutes, Faculty Research And Development Committee Meeting, Thursday, March 24, 2023, Faculty Research And Development Committee

Faculty Research and Development Committee Minutes

No abstract provided.

Ops Bus Scheduling: A Heuristic Approach To A Three-Tier Multi-Depot Vehicle Routing Problem With Inter-Depot Routes, Jordan Sahs, Brad Tuttle

Mathematics Theses, Dissertations, Research and Student Creative Activity

Omaha Public Schools (OPS) currently uses a Two-Tier Bus Transportation System and is investigating whether switching to a Three-Tier Bus Transportation System would be cost effective by reducing the number of buses and bus drivers OPS uses. This project aims to develop an algorithm that would allow OPS to test whether a Three-Tier system is more cost effective. The “Bus Scheduling Project” is composed of two different software components: a geographical analyzer and a heuristic bus route generator.

Governance For Local Government: Part - Iv, Ishrat Husain Dr.

Faculty Research - Newspaper and Magazine Articles

The rules of business have to be changed accordingly. It would be imperative that the chief executive officers of metropolitan corporations and large district councils are appointed from among Grade 21 and 22 officers of the Pakistan Administrative Service and the provincial executive services. After all, the chief secretaries of the provinces are at present selected from this pool of officers. There is no reason why officers of the same caliber and status should not be utilized at the local government level. We have to invert the pyramid of hierarchy between the three tiers of the government. The district governments …

Fort Hays State University Tiger Weekly, March 24, 2023, University Relations

Tiger Weekly Newsletters

No abstract provided.

Natural Disasters And Human Capital: Empirical Evidence From Indonesia, Lei Lv

USF Tampa Graduate Theses and Dissertations

In developing countries, natural disasters could destroy physical capital and adversely affect human capital accumulation by disrupting individual decisions. Such decisions play a critical role in determining individuals' human capital accumulation process and have a lifelong effect on their happiness and economic prosperity. To better understand how natural disasters affect human capital in developing countries, this dissertation uses the earthquakes in Indonesia as a natural experiment to study how this earthquake affects health, child marriage, and education. For the first chapter, I study how the 2006 Yogyakarta Earthquake a affects water-related acute disease symptomsin the short and long run. By …

Hybrid Statistical And Machine Learning Methods For Daily Evapotranspiration Modeling, Erdem Kucuktopcu

Purdue University Libraries Open Access Publishing Fund

Machine learning (ML) models, including artificial neural networks (ANN), generalized neural regression networks (GRNN), and adaptive neuro-fuzzy interface systems (ANFIS), have received considerable attention for their ability to provide accurate predictions in various problem domains. However, these models may produce inconsistent results when solving linear problems. To overcome this limitation, this paper proposes hybridizations of ML and autoregressive integrated moving average (ARIMA) models to provide a more accurate and general forecasting model for evapotranspiration (ET0). The proposed models are developed and tested using daily ET0 data collected over 11 years (2010–2020) in the Samsun province of Türkiye. The results show …

Assessment Of Air Pollution Levels During Sugarcane Stubble Burning Event In La Feria, South Texas, Usa, Sai Deepak Pinakana, Edward Robles, Esmeralda Mendez, Amit U. Raysoni

School of Earth, Environmental, & Marine Sciences Faculty Publications

Agricultural stubble burning is the third largest source of air pollution after vehicular and industrial emissions. Fine particulate matter (PM2.5), volatile organic compounds (VOCs), carbon monoxide (CO), nitrogen dioxide (NO2), and black carbon (BC) are some of the pollutants emitted during such burning events. The Lower Rio Grande Valley (RGV) region of South Texas is a major hub of agricultural activity, and sugarcane farming is one of them. Unfortunately, this activity results in episodic events of high air pollution in this low-resourced, Hispanic/Latino majority region of the U.S.–Mexico border. This study presents results from a sugarcane site in La Feria, …

Toward A Simulation Model Complexity Measure, J. Scott Thompson, Douglas D. Hodson, Michael R. Grimaila, Nicholas Hanlon, Richard Dill

Faculty Publications

Is it possible to develop a meaningful measure for the complexity of a simulation model? Algorithmic information theory provides concepts that have been applied in other areas of research for the practical measurement of object complexity. This article offers an overview of the complexity from a variety of perspectives and provides a body of knowledge with respect to the complexity of simulation models. The key terms model detail, resolution, and scope are defined. An important concept from algorithmic information theory, Kolmogorov complexity, and an application of this concept, normalized compression distance, are used to indicate the possibility of measuring changes …

Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba

SMU Data Science Review

Non-Fungible Tokens (NFTs) enable ownership and transfer of digital assets using blockchain technology. As a relatively new financial asset class, NFTs lack robust oversight and regulations. These conditions create an environment that is susceptible to fraudulent activity and market manipulation schemes. This study examines the buyer-seller network transactional data from some of the most popular NFT marketplaces (e.g., AtomicHub, OpenSea) to identify and predict fraudulent activity. To accomplish this goal multiple features such as price, volume, and network metrics were extracted from NFT transactional data. These were fed into a Multiple-Scale Convolutional Neural Network that predicts suspected fraudulent activity based …

Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn

SMU Data Science Review

Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …

Deep Learning For Online Fashion: A Novel Solution For The Retail E-Commerce Industry, Zachary O. Harris, Gowtham G. Katta, Robert Slater, Joseph L. Woodall Iv

SMU Data Science Review

The online shopping experience for clothing can be further enhanced by implementing Deep Learning techniques, such as Computer Vision and personalized recommendation systems. Automation, as a principle, can be applied to solving problems surrounding efficacy, efficiency, and security. It also provides a layer of abstraction for the user during the online shopping experience. This research aims to apply Deep Learning methods and principles of automation to augment the e-commerce fashion market in a novel way. After using these methods, it was found that Convolutional Autoencoders and Item-to-Item Based Recommenders may be used to accurately and precisely recommend articles of clothing …

A Framework For Predicting The Optimal Price And Time To Sell A Home, Adeel Qureshi, Iosif Mushailov, Patricia Herrera, Phillip Hale, Reannan Mcdaniel

SMU Data Science Review

Due to high barriers to conduct housing market research, many home sellers opt to go to the market with asymmetric information or invest large sums of money into hiring a professional. This research aims to reduce these inefficiencies by proposing a framework that provides sellers with a concrete recommendation on optimal time and price to sell a home to maximize financial gains. The core data used in this research is the NOVA Home Price dataset, which contains 34,973 house listings over multiple years in Northern Virginia. A pipeline of machine learning models, including a linear regression, random forest, XGboost and …

Towards A Comparative Map Of White Clover (Trifolium Repens) And Barrel Medic (Medicago Truncatula), M. Febrer, G. Jenkins, M. T. Abberton, D. Milbourne

IGC Proceedings (1977-2023)

Grassland is of pivotal importance to the Irish agricultural industry. This dependence of grass is reflected in the large proportion of land area under grass, approx. 80% of the total land acreage in Ireland. The presence of white clover (Trifolium repens L.) in grassland significantly improves the overall nutritional value of the forage by increasing the relative amounts of nitrogen present. Genetic improvement of white clover through breeding of varieties should increase the productivity of grasslands. Advances in plant biotechnology offer the possibility of developing tools that will radically enhance our ability to breed improved plant varieties. The objective …

Role Of The Banyuls(Ban) Gene From Arabidopsis Thaliana In Transgenic Alfalfa Expression Of Anthocyanins And Proanthocyanidins, S. M. Hesamzadeh Hejazi, Sergio Arcioni, F. Paolocci

IGC Proceedings (1977-2023)

Condensed tannins (CTs) are flavonoid oligomers, many of which have beneficial effects on animal (bloat safe) and human health. The BAN gene encodes anthocyanidin reductase (ANR), an enzyme proposed to convert anthocyanidins to their corresponding 2,3-cis-flavan-3-ols (Xie et al., 2003). Ectopic expression of BAN in Alfalfa transgenic foliage results in accumulation of CTs. Thus, it has been assumed that the BAN gene also acts in starter units for the condensation of tannins in Alfalfa.

Clover Astra: A Web-Based Resource For Trifolium Est Analysis, G. C. Spangenberg, T. Sawbridge, E. K. Ong, C. G. Love, T. A. Erwin, E. G. Logan, D. Edwards

IGC Proceedings (1977-2023)

White clover (Trifolium repens L.) is a major temperate forage legume.

Controlled Flowering Project For Lolium Perenne At Agresearch: An Overview, I. Kardailsky, B. Veit, N. Forester, M. Gagic, K. Richardson, Marty J. Faville, G. Bryan

IGC Proceedings (1977-2023)

Ryegrass (Lolium perenne) is an important forage crop in New Zealand. The work presented here has the goal of developing a system for complete and arbitrary control of the transition from vegetative to floral development. For this, we have pursued an integrated approach utilising genomics with both forward and reverse genetics. Like other model plants, photoperiodic and vernalization pathways are presumed to be operating in ryegrass and control the activity of the meristem identity/floral patterning genes. The candidate gene approach targeting the photoperiodic pathway is described in an accompanying abstract (Gagic et al.). Other candidate genes include …

Monitoring Of Gene Expression Profiles And Identification Of Candidate Genes Involved In Drought Tolerance In Festuca Mairei With Cdna-Aflp, J. P. Wang, S. S. Bughrara

IGC Proceedings (1977-2023)

Drought stress is one of the most complex environmental constraints on plants. Response of plant to drought stress is manifested by various changes in physiological and metabolic processes, which are reflected at the molecular level. cDNA-amplified fragment length polymorphism (cDNA-AFLP) is a high-throughput transcript profiling technique for temporal and spatial gene expression analysis (Bachem et al., 1996). To understand the molecular genetic basis of drought tolerance of grasses, we applied the cDNA-AFLP procedure to identify the genes responding to drought stress of Festuca mairei (Fm), which showed a xeriphytic adaptation (Marlatt et al., 1997).

Gene Discovery And Molecular Dissection Of Fructan Metabolism In Perennial Ryegrass (Lolium Perenne), J. Chalmers, A. Lidgett, X. Johnson, K. Terdich, N. Cummings, Y. Y. Cao, K. Fulgueras, M. Emmerling, T. Sawbridge, E. K. Ong, A. Mouradov, G. C. Spangenberg

IGC Proceedings (1977-2023)

Fructans are the main soluble carbohydrate stored in up to a third of the vegetation of the earth, including the economically important temperate grasses. Fructans are polymers of fructose attached to a sucrose precursor. Perennial ryegrass (L. perenne L.) accumulates fructans of the inulin series, inulin neoseries and levan neoseries. Four enzymes are required to produce fructans of this profile: 1-SST (sucrose:sucrose 1- fructosyltransferase), 1-FFT (fructan:fructan 1-fructosyltransferase), 6G-FFT (6-glucose fructosyltransferase) and 6-FFT (fructan:fructan 6-fructosyltransferase) or 6-SFT (sucrose:fructan 6-fructosyltransferase) (Figure 1). Fructan biosynthetic enzymes have evolved from invertases and thus it is argued that fructan metabolism is an extension …

Isolation And Characterization Of A Cbf Gene From Perennial Ryegrass (Lolium Perenne L.), Y. Xiong, S. Fei

IGC Proceedings (1977-2023)

Maximum freezing tolerance of many temperate plant species is achieved after exposure to a period of non-freezing low temperatures, a phenomenon called “cold acclimation”. Multiple mechanisms appear to operate in conferring freezing tolerance in plants. The discovery of a class of transcription factor genes, CBF genes (C-repeat binding factor), in Arabidopsis demonstrated that CBF genes can serve as ‘Master switches’ to activate downstream cold-related (COR) genes during cold-acclimation (Liu et al., 1998). They act by binding to the core sequence (CCGAC) which is present in COR genes and thus activate the expression of COR genes and enhance …

Phenotypic Variation Within Local Populations Of Meadow Fescue Shows Significant Associations With Allele Frequencies At Aflp Loci, S. Fjellheim, Å. B. Blomlie, P. Marum, O. A. Rognli

IGC Proceedings (1977-2023)

To identify markers useful for Marker Assisted Selection (MAS), mapping families are usually constructed and used for Quantitative Trait Loci (QTL) mapping. Association mapping offers an alternative strategy for marker development using already characterized germplasm, preferably from natural populations. Simultaneous phenotypic and molecular screening of gene bank accessions can reveal associations between molecular marker alleles and phenotypic traits, and lead to a more targeted construction of mapping families for fine-mapping. In this investigation, we combine molecular (AFLP) and phenotypic data of 15 Norwegian local populations and 5 Nordic cultivars in order to identify markers associated with phenotypic traits of interest.

Diversity Of Diet Composition Decreases With Conjoint Grazing Of Cattle With Sheep And Goats, A. M. Nicol, M. B. Soper, A. Stewart

IGC Proceedings (1977-2023)

Conjoint or mixed grazing can affect the diet selected by each species (Nicol & Collins, 1990). Diet similarity coefficients are often used to compare pairs of diets (Krebs, 1999). However this approach is awkward when a number of contrasts are required in a multifactorial comparison. Species diversity is a descriptor of a particular environment. Many models provide an estimate of species diversity, the most common of these being a log-normal distribution (Tokeshi, 1996). We tested whether this model could be applied to dietary components selected from a pasture, and thus provide a coefficient of dietary diversity for the individual diets …