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Full-Text Articles in Entire DC Network
High School Teachers' Perceptions And Application Of Robert Stahl's Decision-Making Materials In The Social Studies Classroom, Alisha Milam
High School Teachers' Perceptions And Application Of Robert Stahl's Decision-Making Materials In The Social Studies Classroom, Alisha Milam
Electronic Theses and Dissertations Archive
This study investigated high school social studies teachers’ perceptions of Robert Stahl’s decision-making materials within their content area and the relevance of curricular implementation. The primary questions addressed in this study focused on high school social studies teachers’ perception of current instructional practices, inquiry-based learning, state standards, and national frameworks regarding content and classroom instruction. The participants included seven rural high school social studies teachers selected through two-stage random sampling. Participant selection was reduced to rural areas due to the overwhelmingly disproportionate number of rural districts in the state of study. However, to gain a diverse perspective from across the …
A Historical Case Study To Examine The Response Of The Association Of Jesuit Colleges And Universities (Ajcu) To Hurricane Katrina, Victoria Mccardell Harpool
A Historical Case Study To Examine The Response Of The Association Of Jesuit Colleges And Universities (Ajcu) To Hurricane Katrina, Victoria Mccardell Harpool
Electronic Theses and Dissertations Archive
In 2005, the Association of Jesuit Colleges and Universities (AJCU) admitted Loyola University New Orleans students to the other 27 sister institutions just days after Loyola announced closure for the duration of the fall semester. The case study utilizes oral histories and archival research to evaluate if the Association acted in accordance with their mission based on Albert and Whetten’s Organizational Identity Theory and how mission can guide the preparations of higher education for natural disasters.
Voices From The Classroom: Perspectives Of Elementary Teachers On Teacher Absenteeism, And The Related Factors Of Leadership Behaviors And Teacher Preparation, Amanda Brabham
Electronic Theses and Dissertations Archive
Employee absence can arise in any organization or institution; however, in education, teacher absenteeism place burdens on schools and hinders the ability of schools to provide quality and consistent instruction to students. Teacher absenteeism has been a topic of discussion in the West Tennessee study school district for many years. School and district leaders have pondered over what can be done to improve the attendance behaviors of teachers. Research asserts that teachers are the most important in-school determinant of student success, and for this reason, school and district leaders in the West Tennessee study district must gain an understanding of …
Attributes Of Organic Food Products: What Matters To The Us Consumers In Their Purchasing Decision?, Rohini Daraboina
Attributes Of Organic Food Products: What Matters To The Us Consumers In Their Purchasing Decision?, Rohini Daraboina
Electronic Theses and Dissertations Archive
Green research in marketing is a rich field with multiple financial and brand implications to the firms and their stakeholders including consumers. This three-essay dissertation examines two important research streams in green marketing, organic food product attribute importance, and food safety transgressions. The first essay applies bibliometric methods to analyze the literature on green research in marketing. Based on the keyword analysis and literature review the essay identifies several gaps in green marketing research and offers potential research opportunities. Guided by the first essay’s insights, the second essay focuses on the relative importance of the organic food product attributes that …
The Relations Among Academic Grit, Growth Mindset, School Engagement, And Academic Achievement In Middle School Students, Rachel Younger
The Relations Among Academic Grit, Growth Mindset, School Engagement, And Academic Achievement In Middle School Students, Rachel Younger
Electronic Theses and Dissertations Archive
The purpose of this study was to examine the relations among three psychosocial factors (i.e., Academic Grit, School Engagement, and Growth Mindset) and Academic Achievement among a cross-sectional sample of middle school students (N = 141). Participants were administered the Academic Grit Scale, Multi-Dimensional School Engagement Scale, and Implicit Theories of Intelligence Scale via an online survey, and i-Ready Reading and Math benchmarks and student’s GPA assessed academic achievement. Factor analysis was used to confirm the measurement of these constructs, which resulted in a post-hoc measurement model combining indicators of Academic Grit with two indicators of School Engagement. Structural equation …
Estimation Of Hydraulic Conductivity From Injection Tests Using Mini-Piezometers With Drilled-Hole Screens, Bisesh Joshi
Estimation Of Hydraulic Conductivity From Injection Tests Using Mini-Piezometers With Drilled-Hole Screens, Bisesh Joshi
Electronic Theses and Dissertations Archive
Cost- and time-effective injection methods using mini-piezometers are widely used in hyporheic research for estimating hydraulic conductivity (K). To check the performance of a range of mini-piezometer screens with drilled holes, we simulated constant-head injection tests in a uniform, isotropic streambed, using a specially designed laboratory apparatus. Applying accepted methods by Hvorslev and Cardenas & Zlotnik, with subsequent modifications, we studied the effects of screen length, hole diameter, and hole spacing on the shape factor (F), and thus on the estimated K. We also investigated the nature of the injected flow by studying the spatial distribution of piezometric head within …
Quantum Mechanical Analysis Of Proton-Electron Systems Using Fourier Method, Luis Antonio Rey Caldera
Quantum Mechanical Analysis Of Proton-Electron Systems Using Fourier Method, Luis Antonio Rey Caldera
Electronic Theses and Dissertations Archive
Proton-coupled electron transfer (PCET) occurs in many different types of chemical reactions. PCET involves the transfer of protons and electrons from one location to another. It is involved in both organic and inorganic chemistry in systems such as those of photosynthesis, metabolism, and respiration. The theoretical formulations of PCET reactions are founded on the theoretical treatment of electron transfer. These reactions lie on a spectrum from hydrogen atom transfer (HAT) to multiple-site couple proton-electron transfer (MS-CPET). The properties that any given reaction has can be quantified with the use of a potential energy surface (PES). The specific geometry of the …
Preservice And First-Year Teachers’ Intention To Use And Actual Use Of Technology-Enabled Learning: A Case Study, Jessica Herring Watson
Preservice And First-Year Teachers’ Intention To Use And Actual Use Of Technology-Enabled Learning: A Case Study, Jessica Herring Watson
Electronic Theses and Dissertations Archive
The purpose of this qualitative, embedded single case study was to provide a rich description and explore the unique development and evolution of preservice teachers’ intention to use and actual use of technology-enabled learning (TEL) during student teaching and first-year teaching. The study followed four middle level education majors at a mid-size public teaching university in the southeastern United States over the course of the 2021 calendar year, during their student teaching experience (Spring 2021) and into their first semester as novice teachers (Fall 2021). Ajzen's Theory of Planned Behavior (TPB) guided this qualitative inquiry. Interviews, observations, and analysis of …
Factors Impacting Advanced Math Course-Taking: A Multilevel Modeling Analysis Of The Hsls:09, Shelby Gayle Roberts
Factors Impacting Advanced Math Course-Taking: A Multilevel Modeling Analysis Of The Hsls:09, Shelby Gayle Roberts
Electronic Theses and Dissertations Archive
The United States continues to lag other first-world countries in the number of students prepared to enter the STEM workforce. Research has shown that taking advanced math courses during high school better prepares students to enter college STEM programs (Byun et al., 2015; Chen, 2016). Both student and school characteristics often shape which courses students take in secondary school. Previous academic achievement and performance along with motivational factors, like expectations, math identity and self-efficacy, and students’ valuation of mathematics work concomitantly to shape students’ math course enrollments in high school (Attewell & Domina, 2008; Burkman & Lee, 2003; Maltese & …
Application Of Local Knowledge For Better Characterization And Modeling Of Urban Pluvial Flooding, Koorosh Azizi
Application Of Local Knowledge For Better Characterization And Modeling Of Urban Pluvial Flooding, Koorosh Azizi
Electronic Theses and Dissertations Archive
Urban pluvial flooding (UPF) resulting from localized, intense, rainfall‐generated ponding and overland flow causes a range of socio-environmental impacts. UPF is driven by a complex set of interconnected factors, including physical, historical, social, cultural, institutional, and economic conditions. Its impacts are increasing due to both biophysical change (e.g., global warming) and the interactions between the human and physical dimensions of the urban environment (e.g., land-use change). Notwithstanding its complexity and the rather low level of attention it has received in both research and practice, UPF is an issue that needs to be tackled from a comprehensive perspective. Although different integrated …
Multi-Tissue Time-Domain Nmr Metabolomics For Robust And Accurate Assessment Of Dietary Effects, Hayden Johnson
Multi-Tissue Time-Domain Nmr Metabolomics For Robust And Accurate Assessment Of Dietary Effects, Hayden Johnson
Electronic Theses and Dissertations Archive
Nuclear magnetic resonance (NMR) spectroscopy is a quantitative, non-destructive analytical technique for identifying and quantifying metabolites. Conventional quantitative NMR analysis involves processing the recorded time-domain signal into a frequency-domain spectrum along with user-dependent processing and resonance characterization steps which may introduce bias and error. This study implements a Bayesian approach for data analysis in the time-domain to bypass these drawbacks and increase automation in metabolite quantification. The time-domain workflow is first assessed using metabolite reference standards to validate accurate resonance identification and quantification before profiling metabolites in liver, heart, and white adipose tissue of a diurnal animal model, the Nile …
Polynomial Methods: Recent Advancements In Combinatorics, Thomas Rexford Fleming
Polynomial Methods: Recent Advancements In Combinatorics, Thomas Rexford Fleming
Electronic Theses and Dissertations Archive
In this Master’s Thesis, we showcase the use of an array of results collectively known as the polynomial method. First, we lay groundwork, giving some basic definitions, notation, and prerequisites. Then, we introduce three related theorems, the Combinatorial Nullstellensatz, Generalized Combinatorial Nullstellensatz, and Punctured Combinatorial Nullstellensatz, each concerning properties of multivariate polynomials with specific constraints on their degree. With these results proven, we then showcase some simple combinatorial and graph theoretic results which have very simple proofs making use of the Nullstellensatz theorems. In chapter 4 we give the proof of the q-Dyson theorem as published by Zeilberger and Bressoud. …
The Dark Side Of It: Three Essays On Issues Related To The Consequences Of It, Stephanie Ann Totty
The Dark Side Of It: Three Essays On Issues Related To The Consequences Of It, Stephanie Ann Totty
Electronic Theses and Dissertations Archive
Information technology (IT) is a double-edged sword—IT can afford individuals and organizations opportunities to improve performance; meanwhile, IT may cause unexpected consequences. This three-essay dissertation examines two important dark sides of IT, information security and driving safety, and evaluates interventions that may combat them. The first essay reviews and synthesizes literature on information security in the information systems (IS) field. Based on a semi-automated topic modeling approach, this essay systematically describes major themes of information security research in the IS field, identifies their interconnections, and offers guidelines for future research. Guided by the first essay's insights, the second essay focuses …
Predicting Tree Species Richness In The Continental United States: Highlights From Machine Learning And Open Data, Lian Brugere
Predicting Tree Species Richness In The Continental United States: Highlights From Machine Learning And Open Data, Lian Brugere
Electronic Theses and Dissertations Archive
Biodiversity is in decline and predicting species diversity is critically important if current trends are to be reversed. Tree species richness (TSR), the number of distinct tree species in an ecological community, has long been a key measure of biodiversity, however, accurately modeling TSR is critical to better predicting its spatially heterogeneous responses to the changing environment and to forecasting TSR under future climate scenarios. This dissertation takes a holistic approach to improve TSR modeling with 1) advanced and more interpretable machine learning techniques, 2) to extend predictors to anthropogenic factors, and 3) to leverage open-source online tree occurrences for …
Optimizing Pattern-Based Calibration Of Cellular Automata By Imperialistic Competitive Algorithm, Ehsan Momeni
Optimizing Pattern-Based Calibration Of Cellular Automata By Imperialistic Competitive Algorithm, Ehsan Momeni
Electronic Theses and Dissertations Archive
Land use and land cover (LULC) data analyses disclosed large land conversion in Shelby County, TN, between 1990 and 2010. LULC mixtures have significant associations with socio-demographics and travel behavior. Mathematical modeling is used to forecast urban expansion in order to promote sustainable development. Cellular automata (CA) is a popular approach for the simulation of urban growth. Nevertheless, precise calibration of CA is challenging due to uncertainties and its knowledge-intensive process. Shannon relative indices (SRIs) have been used in this study as an indicator of land patterns to calibrate a CA model of urban growth in Shelby County. The results …
Implementation And Anaylsis Of Fresnel Biprism-Based Digital Holographic Microscopes, Charity Hayes Rounds
Implementation And Anaylsis Of Fresnel Biprism-Based Digital Holographic Microscopes, Charity Hayes Rounds
Electronic Theses and Dissertations Archive
Digital holographic microscopy (DHM) provides Quantitative phase images (QPI) significant when imaging transparent (e.g., biological) samples. This method of imagining requires no damage to the sample due to toxic, chemical staining, leading to a non-invasive and label-free technique. Common-path DHM systems, which are based on self interference, are usually more robust than double-path DHM systems (based on Mach-Zehnder and Michelson configurations), being less exposed to external fluctuations. Common-path DHM systems usually require fewer optical elements which reduce the cost of the system. In this work, a 3D-printed common-path DHM system using a Fresnel biprism has been design and evaluated using …
Forecasting Nodal Price Difference Between Day-Ahead And Real-Time Electricity Markets Using Long-Short Term Memory And Sequence-To-Sequence Networks, Ronit Das, Rui Bo, Haotian Chen, Waqas Ur Rehman, Donald C. Wunsch
Forecasting Nodal Price Difference Between Day-Ahead And Real-Time Electricity Markets Using Long-Short Term Memory And Sequence-To-Sequence Networks, Ronit Das, Rui Bo, Haotian Chen, Waqas Ur Rehman, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
Price forecasting is at the center of decision making in electricity markets. Much research has been done in forecasting energy prices for a single market while little research has been reported on forecasting price difference between markets, which presents higher volatility and yet plays a critical role in applications such as virtual trading. To this end, this paper takes the first attempt at it and employs novel deep learning architecture with Bidirectional Long-Short Term Memory (LSTM) units and Sequence-to-Sequence (Seq2Seq) architecture to forecast nodal price difference between day-ahead and real-time markets. In addition to value prediction, these deep learning architectures …
Concentration Of Fecal Coliforms In Marine Waters Using Satellite Images In The Vicinity Of Pucusana. Bay, Peru., Y A. Palma-Gongora, F V. Zuta-Medina, Luis Angel Gomez-Cunya
Concentration Of Fecal Coliforms In Marine Waters Using Satellite Images In The Vicinity Of Pucusana. Bay, Peru., Y A. Palma-Gongora, F V. Zuta-Medina, Luis Angel Gomez-Cunya
Civil Engineering Faculty Publications
Water quality monitoring in coastal areas is challenging due to cost and time constraints. Identifying and selecting sampling sites accurately and effectively is crucial for efficient monitoring. The need for efficient monitoring of marine waters has led to exploring the use of remote sensing as one helpful alternative. Remote sensing is practical in several applications based on pattern recognition and information processing of large terrestrial and aquatic surface areas. Collected information is processed with various image processing techniques to identify objects such as microorganisms. Fecal coliforms are microorganisms that are indicators of sanitary quality and are present in human and …
On Rotationally Driven Nonlinear Inclined Polymeric Jet With Gravity Effect, Daniel N. Riahi, Saulo Orizaga
On Rotationally Driven Nonlinear Inclined Polymeric Jet With Gravity Effect, Daniel N. Riahi, Saulo Orizaga
School of Mathematical & Statistical Sciences Faculty Publications
We consider rotationally driven nonlinear polymeric fiber jet, whose centerline is in an inclined plane, in the presence of gravity force. An empirical viscosity model is used for the polymeric fluid flow to investigate properties of the rotating inclined polymeric fiber jet. The aim of the study is to understand properties of such inclined fiber jet shape, which can be due to orientation change of an orifice in a rotating spinneret that generates such jet. Perturbation, asymptotic, scaling and numerical techniques are used to determine the nonlinear steady solutions for the jet quantities for different values of the parameters due …
Global Existence And Blow-Up Phenomena For A Periodic Modified Camassa–Holm Equation (Moch), Zhaonan Luo, Zhijun Qiao, Zhaoyang Yin
Global Existence And Blow-Up Phenomena For A Periodic Modified Camassa–Holm Equation (Moch), Zhaonan Luo, Zhijun Qiao, Zhaoyang Yin
School of Mathematical & Statistical Sciences Faculty Publications
In this paper, we study global existence and blow-up for a periodic modified Camassa–Holm equation in nonhomogeneous Sobolev spaces. Also, we provide a key blow-up criteria to investigate norm inflation and ill-posedness problem for the equation in the critical Sobolev space.
A Physics-Based Model For Frost Buildup Under Turbulent Flow Using Direct Numerical Simulations, Nadim Zgheib, N. Farzaneh, S. Balachandar, S. A. Sherif
A Physics-Based Model For Frost Buildup Under Turbulent Flow Using Direct Numerical Simulations, Nadim Zgheib, N. Farzaneh, S. Balachandar, S. A. Sherif
Mechanical Engineering Faculty Publications
We present a new model for frost buildup under turbulent (and laminar) flow using direct numerical simulations. The physical model consists of two layers, the air and the frost. The air layer is fully resolved and consists of solving for the velocity, temperature, and vapor mass fraction fields. The frost layer thickness is resolved using conservation of mass and energy. Both phases are dynamically coupled using the immersed boundary method. Three-dimensional simulations are conducted in an open-channel configuration. A number of challenges need to be overcome to make these simulations feasible. First, to enforce far-field conditions of zero …
Sex-Dependent Shared And Nonshared Genetic Architecture Across Mood And Psychotic Disorders, Gabriëlla A. M. Blokland, Jakob Grove, Chia Yen Chen, Chris Cotsapas, Ney Alliey Rodriguez
Sex-Dependent Shared And Nonshared Genetic Architecture Across Mood And Psychotic Disorders, Gabriëlla A. M. Blokland, Jakob Grove, Chia Yen Chen, Chris Cotsapas, Ney Alliey Rodriguez
School of Medicine Publications
Background: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. Methods: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. Results: Across disorders, genome-wide significant single nucleotide polymorphism–by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10−8 …
Global In Time Self-Interacting Dirac Fields In The De Sitter Space, Karen Yagdjian
Global In Time Self-Interacting Dirac Fields In The De Sitter Space, Karen Yagdjian
School of Mathematical & Statistical Sciences Faculty Publications
In this paper the semilinear equation of the spin-12 fields in the de Sitter space is investigated. We prove the existence of the global in time small data solution in the expanding de Sitter universe. Then, under the Lochak–Majorana condition, we prove the existence of the global in time solution with large data. The sufficient conditions for the solutions to blow up in finite time are given for large data in the expanding and contracting de Sitter spacetimes. The influence of the Hubble constant on the lifespan is estimated.
P-Adic Analysis: A Quick Introduction, Wilson A. Zuniga-Galindo
P-Adic Analysis: A Quick Introduction, Wilson A. Zuniga-Galindo
School of Mathematical & Statistical Sciences Faculty Publications
These notes aim to provide a fast introduction to p-adic analysis assuming basic knowledge in algebra and analysis. The text corresponds to the lecture notes for a Mini-Course in the L. Santal´o Research Summer School 2019. Palacio de la Magdalena, Santander, Spain, June 24-28, 2019.
Online List Coloring For Signed Graphs, Melissa Tupper, Jacob A. White
Online List Coloring For Signed Graphs, Melissa Tupper, Jacob A. White
School of Mathematical & Statistical Sciences Faculty Publications
We generalize the notion of online list coloring to signed graphs. We define the online list chromatic number of a signed graph, and prove a generalization of Brooks’ Theorem. We also give necessary and sufficient conditions for a signed graph to be degree paintable, or degree choosable. Finally, we classify the 2-list-colorable and 2-list-paintable signed graphs.
Game Between The Third Party Payment Service Provider And Bank In Mobile Payment Market, Hui Jiang, Junhai Ma, Zhaosheng Feng
Game Between The Third Party Payment Service Provider And Bank In Mobile Payment Market, Hui Jiang, Junhai Ma, Zhaosheng Feng
School of Mathematical & Statistical Sciences Faculty Publications
With the innovation and integration of the Internet and the financial industry, the third-party payment market has developed greatly and has great potential. This paper discusses the duopoly game between third-party payment service providers and banks, which are the main participants in the mobile payment market. By constructing Nash game model, the conditions of equilibrium point, stability and bifurcation are analyzed. The effects of adjusting parameters and cooperation coefficient on business volume and profit are discussed. The conclusions are as follows: excessive investment will lead to unpredictable fluctuations in the market and fall into chaos; By strengthening cooperation, all participants …
Current Cutting-Edge Research In Computer Science, Mohanad Ghazi Yaseen, Mohammad Aljanabi, Ahmed Hussein Ali, Saad Abbas Abd
Current Cutting-Edge Research In Computer Science, Mohanad Ghazi Yaseen, Mohammad Aljanabi, Ahmed Hussein Ali, Saad Abbas Abd
Mesopotamian Journal of Computer Science
Computer science research is a rapidly evolving field that is shaping the future of technology. From artificial intelligence and machine learning to image processing and cybersecurity, researchers are constantly pushing the boundaries of what is possible. In this editorial, we will explore some of the current trends in computer science research and their potential impact on society. After searching the most prestigious academic databases, we settle on a list of subjects widely recognized as cutting-edge in the field of computer science.
Blockchain And Distributed Ledger Technologies For Iot Security: A Survey Paper, Suleiman Abdulrahman, Maroning Useng
Blockchain And Distributed Ledger Technologies For Iot Security: A Survey Paper, Suleiman Abdulrahman, Maroning Useng
Mesopotamian Journal of Computer Science
As the Internet of Things (IoT) continues to grow, the security concerns associated with this technology become increasingly important. Blockchain and Distributed Ledger Technologies (DLTs) are emerging as potential solutions for IoT security due to their decentralized and immutable nature. In this survey paper, we provide a comprehensive overview of the state-of-the-art research in the use of blockchain and DLTs for IoT security. We begin by introducing the basic concepts of blockchain and DLTs, followed by a discussion of their potential applications in IoT security. We then review the existing literature on the topic, including both academic and industrial research. …
Anomaly Detection In Encrypted Https Traffic Using Machine Learning: A Comparative Analysis Of Feature Selection Techniques, Hind Raad Ibraheem, Nashwan Dheyaa Zaki, Mohammed Ibrahim Al-Mashhadani
Anomaly Detection In Encrypted Https Traffic Using Machine Learning: A Comparative Analysis Of Feature Selection Techniques, Hind Raad Ibraheem, Nashwan Dheyaa Zaki, Mohammed Ibrahim Al-Mashhadani
Mesopotamian Journal of Computer Science
With the increasing use of encryption in network traffic, anomaly detection in encrypted traffic has become a challenging problem. This study proposes an approach for anomaly detection in encrypted HTTPS traffic using machine learning and compares the performance of different feature selection techniques. The proposed approach uses a dataset of HTTPS traffic and applies various machine learning models for anomaly detection. The study evaluates the performance of the models using various evaluation metrics, including accuracy, precision, recall, F1-score, and area under the curve (AUC). The results show that the proposed approach with feature selection outperforms other existing techniques for anomaly …
Security And Privacy In Iot-Based Healthcare Systems: A Review, Omar Ibrahim Obaid, Saba Abdul-Baqi Salman
Security And Privacy In Iot-Based Healthcare Systems: A Review, Omar Ibrahim Obaid, Saba Abdul-Baqi Salman
Mesopotamian Journal of Computer Science
IoT-based healthcare solutions have transformed patient care and improved results. These technologies capture and store sensitive patient data, raising security and privacy concerns. The paper first discusses IoT-based healthcare system security issues. It evaluates cyber threats, system unavailability, and vulnerabilities attackers can use to get patient data. The report also tackles IoT-based healthcare system privacy issues such illegal data access and sharing and patient data breach concerns. The study proposes numerous frameworks and solutions to protect patient data in IoT-based healthcare systems. Blockchain technology can increase data security and privacy by offering a transparent, decentralized, tamperresistant database. The report also …