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2022

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Characterizing Changes In Extreme Ozone Levels Under 2050s Climate Conditions: An Extreme-Value Analysis In California, Bradley Wilson, Mariah Pope, Jeremy R. Porter, Edward Kearns, Evelyn Shu, Mark Bauer, Neil Freeman, Mike Amodeo, David Melecio-Vazquez, Ho Hsieh, Maggie Tarasovitch Jan 2022

Characterizing Changes In Extreme Ozone Levels Under 2050s Climate Conditions: An Extreme-Value Analysis In California, Bradley Wilson, Mariah Pope, Jeremy R. Porter, Edward Kearns, Evelyn Shu, Mark Bauer, Neil Freeman, Mike Amodeo, David Melecio-Vazquez, Ho Hsieh, Maggie Tarasovitch

Publications and Research

Ground-level ozone has a well established climate penalty associated with changing meteorological conditions under future climate change, but most existing research focuses exclusively on ozone-temperature relationships defined at specific locations. Using an extreme-value theory approach, we model relationships between temperature, humidity, and vapor pressure deficit and maximum daily 8 h ozone concentrations (MDA8) across California using a combination of ozone station network data and Community Multiscale Air Quality Modeling System (CMAQ) model output from 2008 to 2017. We use a spatial regression with time varying bias coefficients to fuse station observations and modeled output into a spatially explicit gridded ozone …

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Strain‑Induced Quantum Hall Phenomena Of Excitons In Graphene, Oleg L. Berman, Roman Ya. Kezerashvili, Yurii E. Lozovik, Klaus G. Ziegler Jan 2022

Strain‑Induced Quantum Hall Phenomena Of Excitons In Graphene, Oleg L. Berman, Roman Ya. Kezerashvili, Yurii E. Lozovik, Klaus G. Ziegler

Publications and Research

We study direct and indirect pseudomagnetoexcitons, formed by an electron and a hole in the layers of gapped graphene under strain‑induced gauge pseudomagnetic field. Since the train‑induced pseudomagnetic field acts on electrons and holes the same way, it occurs that the properties of single pseudomagnetoexcitons, their collective effects and phase diagram are cardinally different from those of magnetoexcitons in a real magnetic field. We have derived wave functions and energy spectrum of direct in a monolayer and indirect pseudomagnetoexcitons in a double layer of gapped graphene. The quantum Hall effect for direct and indirect excitons was predicted in the monolayers …

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The Impact Of Extracurricular Activities And Attendance On Student Achievement At A Mississippi Community College, Amanda Hyde Marbury Jan 2022

The Impact Of Extracurricular Activities And Attendance On Student Achievement At A Mississippi Community College, Amanda Hyde Marbury

Doctoral Dissertations and Projects

The purpose of this quantitative study was to determine the impact of extracurricular activities and class attendance on student achievement in science courses at a Mississippi community college. Public colleges are dependent on state funding for survival, with one main criterion for determining that funding being the number of students enrolled. Students need to be successful in courses to keep up the retention and enrollment rates. Student success is potentially linked to class attendance and student involvement in extracurricular activities. Schools need to look at factors that might be affecting students’ performance in the classroom such as participation in extracurricular …

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Perspectives On Determinism In Quantum Mechanics: Born, Bohm, And The 'Quantal Newtonian' Laws, Viraht Sahni Jan 2022

Perspectives On Determinism In Quantum Mechanics: Born, Bohm, And The 'Quantal Newtonian' Laws, Viraht Sahni

Publications and Research

Quantum mechanics has a deterministic Schrödinger equation for the wave function. The Göttingen-Copenhagen statistical interpretation is based on the Born Rule that interprets the wave function as a ‘probability amplitude’. A precept of this interpretation is the lack of determinism in quantum mechanics. The Bohm interpretation is that the wave function is a source of a field experienced by the electrons, thereby attributing determinism to quantum theory. In this paper we present a new perspective on such determinism. The ideas are based on the equations of motion or ‘Quantal Newtonian’ Laws obeyed by each electron. These Laws, derived from the …

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The Relationship Between Student Perceptions Of School Climate Domains And Academic Achievement In Rural Schools, Robbie W. Mason Jan 2022

The Relationship Between Student Perceptions Of School Climate Domains And Academic Achievement In Rural Schools, Robbie W. Mason

Doctoral Dissertations and Projects

The purpose of this study was to determine how accurately student achievement in reading could be predicted by student perceptions of certain school climate domains (student support, disciplinary structure, academic expectations, student engagement, and the prevalence of teasing and bullying). Research demonstrated a predictive relationship between school climate domains and student academic achievement. This study applied a quantitative, correlational design to determine the predictive ability of school climate domains on student achievement in reading in rural schools. Rural school outcomes were measured by student responses for each climate domain on the 2018 Virginia School Climate Survey while academic achievement in …

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Improving Transition Services For Students With Intellectual Disability At Giles County High School, Catherine Claire Paul Jan 2022

Improving Transition Services For Students With Intellectual Disability At Giles County High School, Catherine Claire Paul

Doctoral Dissertations and Projects

The purpose of this project was to improve transition services available to high school students with intellectual disabilities in Giles County, Tennessee. The problem was there is a lack of consistent transition planning in Giles County, Tennessee. The central research question was, “How can transition services for students with intellectual disabilities be improved at Giles County High School in Giles County, Tennessee?” This project was conducted through interviews with administrators and educators, surveys of parents, and a document analysis of available information in Giles County for transition services. The information was then coded and analyzed for a mixed-methods research design. …

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The Student Voice: Perception Of Students’ Representation Of Themselves In The Secondary Band Curriculum, Lori Schwartz Reichl Jan 2022

The Student Voice: Perception Of Students’ Representation Of Themselves In The Secondary Band Curriculum, Lori Schwartz Reichl

Doctoral Dissertations and Projects

As the United States becomes more socially and culturally diverse, there is a greater need for diversity and inclusivity in music education. This goal can be challenging as the classical traditions of westernized music often dominate music classrooms and performing ensembles. The secondary band curriculum is no exception. Despite numerous sources stating that students must perceive a representation of themselves in an educational curriculum, secondary band students have yet to be surveyed about their perceptions of the music curriculum in which they are engaging daily. Educators must understand if students see themselves reflected in the curriculum. This reflection can be …

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Anomaly Detection With Vision-Based Deep Learning For Epidemic Prevention And Control, Hooman Samani, Chan Yun Yang, C Li, Chia Ling Chung, S Li Jan 2022

Anomaly Detection With Vision-Based Deep Learning For Epidemic Prevention And Control, Hooman Samani, Chan Yun Yang, C Li, Chia Ling Chung, S Li

School of Engineering, Computing and Mathematics

During the COVID-19 pandemic, people were advised to keep a social distance from others. People’s behaviors will also be noticed, such as lying down because of illness, regarded as abnormal conditions. This paper proposes a visual anomaly analysis system based on deep learning to identify individuals with various anomaly types. In the study, two types of anomaly detections are concerned. The first is monitoring the anomaly in the case of falling in an open public area. The second is measuring the social distance of people in the area to warn the individuals under a short distance. By implementing a deep …

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Supercarriers Of Antibiotic Resistome In A World’S Large River, Jiawen Wang, Rui Pan, Peiyan Dong, Shufeng Liu, Qian Chen, Alistair G.L. Borthwick, Liyu Sun, Nan Xu, Jinren Ni Jan 2022

Supercarriers Of Antibiotic Resistome In A World’S Large River, Jiawen Wang, Rui Pan, Peiyan Dong, Shufeng Liu, Qian Chen, Alistair G.L. Borthwick, Liyu Sun, Nan Xu, Jinren Ni

School of Engineering, Computing and Mathematics

Abstract Background Antibiotic resistome has been found to strongly interact with the core microbiota in the human gut, yet little is known about how antibiotic resistance genes (ARGs) correlate with certain microbes in large rivers that are regarded as “terrestrial gut.” Results By creating the integral pattern for ARGs and antibiotic-resistant microbes in water and sediment along a 4300-km continuum of the Yangtze River, we found that human pathogen bacteria (HPB) share 13.4% and 5.9% of the ARG hosts in water and sediment but contribute 64% and 46% to the total number of planktonic and sedimentary ARGs, respectively. Moreover, the …

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Power In Numbers: An Abundance Of Small Corals Responsible For Storing Over Half Of The Carbon Stored By All Alaskan Primnoa Pacifica Deep-Sea Corals, Sylvie Alexander Jan 2022

Power In Numbers: An Abundance Of Small Corals Responsible For Storing Over Half Of The Carbon Stored By All Alaskan Primnoa Pacifica Deep-Sea Corals, Sylvie Alexander

Scripps Senior Theses

Gorgonian deep-sea corals (DSCs) are biologically linked to ocean carbon cycling converting ocean carbon to gorgonin and calcite in their skeletons. As such, gorgonian DSCs likely accumulate and store carbon in their skeleton throughout their lifespans, acting as carbon sinks on historic timescales. Yet, DSC carbon storage hasn’t been investigated to date. This study evaluates gorgonian DSC carbon storage capacity through an evaluation of the carbon stored by Alaskan Primnoa pacifica corals. The development of a model relating coral height to biomass in specimens with this data available was used to determine biomass values in a suite of Alaskan P. …

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Interpolating The Riemann Zeta Function In The P-Adics, Rebecca Mamlet Jan 2022

Interpolating The Riemann Zeta Function In The P-Adics, Rebecca Mamlet

Scripps Senior Theses

In this thesis, we develop the Kubota-Leopoldt Riemann zeta function in the p-adic integers. We follow Neil Koblitz's interpolation of Riemann zeta, using Bernoulli measures and p-adic integrals. The underlying goal is to better understand p-adic expansions and computations. We finish by connecting the Riemann zeta function to L-functions and their p-adic interpolations.

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Here, There, And Everywhere: Probing Ubiquitin-Cavitand Binding Via 15n-1h Hsqc, Julia Didziulis Jan 2022

Here, There, And Everywhere: Probing Ubiquitin-Cavitand Binding Via 15n-1h Hsqc, Julia Didziulis

Scripps Senior Theses

Ubiquitination and other post-translational modifications play a major role in the proliferation of many neurodegenerative diseases, developmental disorders, and cancers, and as such are subjects of recently increased biochemical interest. Expanding upon such research, this study confirmed a robust method of ubiquitin expression and purification, then used 15N-1H HSQC to analyze ubiquitin samples containing varying concentrations of a deep cavitand with affinity for lysine and arginine side chains. In the pure ubiquitin spectrum, arginine side chain chemical shifts were detected in the nitrogen 80-85 ppm range and lysine side chain signals were undetected. However, upon introduction of the cavitand, collection …

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Put On Your Dancing Shoes: Boosting Divergent Thinking In Older Adults, Megan Itagaki Jan 2022

Put On Your Dancing Shoes: Boosting Divergent Thinking In Older Adults, Megan Itagaki

Scripps Senior Theses

This thesis will explore the influence of two dance modalities (dance improvisation and Zumba dance) on divergent thinking (i.e., an aspect of creativity) in older adults using a quasi-experimental design. Given the existing research on dance as a creativity intervention in the younger half of the population, this study may address a gap in the literature by extending these findings to older adults. Once prescreened to ensure cognitive competence and adequate physical mobility, participants will complete a divergent thinking task before their designated 20-minute dance intervention. After the intervention, participants will complete a divergent thinking task. It is hypothesized that …

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#Mentalhealthmatters: Mental Health Awareness Campaigns In Media And Its Effectiveness On Stigma Reduction In Third Culture Kids, Airi Sugihara Jan 2022

#Mentalhealthmatters: Mental Health Awareness Campaigns In Media And Its Effectiveness On Stigma Reduction In Third Culture Kids, Airi Sugihara

Scripps Senior Theses

The recent amplified attention towards mental health and overall wellbeing has been accelerated by awareness campaigns in media, which are culturally and regionally tailored to encourage efficacy and positive attitude changes. Some of these mental health awareness campaigns are disseminated on the social media platform Instagram, which is contradictory to Instagram’s corporate lack of acknowledgement towards its addictiveness and negative impacts on user mental health. The aesthetic and influencer culture surrounding social media empowers its systemic problems, which is exacerbated by modern society’s media dependency. Within its discriminatory and oppressive algorithm, mental health awareness campaigns created by Instagram represent corporate …

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Correlation Does Not Imply Correlation: A Thesis On Causal Influence And Simpson’S Paradox, Emily Naitoh Jan 2022

Correlation Does Not Imply Correlation: A Thesis On Causal Influence And Simpson’S Paradox, Emily Naitoh

Scripps Senior Theses

In our data-driven world, it has become commonplace to attempt to find
causal relationships. One of the themes of this thesis is to show methods of
determining causation. The second theme follows a saying in mathematics,
"correlation does not imply causation". We will also discuss situations where
correlation does not even imply correlation itself. These cases are described
by Simpson’s paradox in an exploration of different areas of mathematics
and computer coding.

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Cradle-To-Grave Life Cycle Assessment Of Production And Consumption Of Pulses In The United States, Prathamesh A. Bandekar, Ben Putman, Greg Thoma, Marty Matlock Jan 2022

Cradle-To-Grave Life Cycle Assessment Of Production And Consumption Of Pulses In The United States, Prathamesh A. Bandekar, Ben Putman, Greg Thoma, Marty Matlock

Biological and Agricultural Engineering Faculty Publications and Presentations

Environmental impact associated with production and consumption of pulses in the United States was evaluated using life cycle assessment (LCA). The system boundary was set to cradle-to-grave with a functional unit of 60 g (dry basis) of pulses consumed in a US household. Varieties of pulses modeled in the study included field pea (Pisum sativum), lentil (Lens culinaris), chickpea (Cicer arietinum), and dry bean. Three methods of cooking pulses at the consumer stage tested in the study were cooking in open vessel on electric cooking range (OVC), cooking in stovetop pressure cooker on electric cooking range (SPC), and cooking in …

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Novel Data-Driven Spatial-Spectral Correlated Scheme For Dimensionality Reduction Of Hyperspectral Images, Yanming Zhang, Ping Yuan, Lijun Jiang, Hong Tat Ewe Jan 2022

Novel Data-Driven Spatial-Spectral Correlated Scheme For Dimensionality Reduction Of Hyperspectral Images, Yanming Zhang, Ping Yuan, Lijun Jiang, Hong Tat Ewe

Electrical and Computer Engineering Faculty Research & Creative Works

Hyperspectral imaging technology has been popularly applied in remote sensing because it collects echoed signals from across the electromagnetic (EM) spectrum and thereby contributes fruitfully spatial-spectral information. However, the processing or storage of high-data-volume hyperspectral images (HSIs), also viewed as snapshots varying with the EM spectrum, burdens the hardware resources, especially for the high spectral resolution and spatial resolution cases. To address this challenge, a novel unsupervised dimensionality reduction method based on the dynamic mode decomposition (DMD) algorithm is proposed to analyze hyperspectral data. This method decomposes the spatial-spectral HSIs in terms of spatial dynamic modes and corresponding spectral patterns. …

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Criminal Acts And Basic Moral Equality, John A. Humbach Jan 2022

Criminal Acts And Basic Moral Equality, John A. Humbach

Elisabeth Haub School of Law Faculty Publications

Modern criminal justice presupposes that persons are not morally equal. On the contrary, those who do wrong are viewed by the law as less worthy of respect, concern and decent treatment: Offenders, it is said, “deserve” to suffer for their misdeeds. Yet, there is scant logical or empirical basis for the law's supposition that offenders are morally inferior. The usual reasoning is that persons who intentionally or knowingly do wrong are the authors and initiators of their acts and, as such, are morally responsible for them. But this reasoning rests on the assumption that a person's mental states, such as …

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Feature Learning For Optimal Control With B-Spline Representations, Vinay Kenny, Sixiong You, Chaoying Pei, Ran Dai Jan 2022

Feature Learning For Optimal Control With B-Spline Representations, Vinay Kenny, Sixiong You, Chaoying Pei, Ran Dai

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The paper develops a feature learning-based method to solve optimal control problems using B-splines to approximate the optimal solutions. The feature learning-based optimal control method can quickly generate near-optimal trajectories for general optimal control problems subject to system dynamics and constraints. The steps in the proposed method are as follows: Firstly, by representing the state and control variables with B-spline functions, the optimal control problem is converted into an approximate nonlinear programming (NLP) problem, where parameters of the B-splines are identified as features of the optimal solution. Secondly, for a specific problem with designated inputs, a dataset of the optimal …

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A Fast Awe-Augmented Wideband Discontinuous Galerkin Frequency-Domain Method In Solving Electromagnetic Wave Equations, Shi Min Liu, Li (Lijun) Jun Jiang, Ping Li Jan 2022

A Fast Awe-Augmented Wideband Discontinuous Galerkin Frequency-Domain Method In Solving Electromagnetic Wave Equations, Shi Min Liu, Li (Lijun) Jun Jiang, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this research, a discontinuous Galerkin frequency-domain (DGFD) method is proposed to solve the electromagnetic wave equations. Different to the explicit time-domain analysis, the electric-field and magnetic-field in frequency-domain wave equations are coupled together implicitly, thus the established matrix equation is globally coupled, which is computational expensive if solving it directly. To address this issue, a Block-diagonal preconditioner and a restriction operator are applied to the matrix equation, which splits the global matrix into a number of small local matrix systems pertinent to each subdomain. Then, a direct solver can be employed to solve them with a FETI-like procedure. Besides, …

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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 Jan 2022

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 …

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Toward A Student-Ready Cybersecurity Program: Findings From A Survey Of Stem-Students, Lora Pitman, Brian K. Payne, Tancy Vandecar-Burdin, Lenora Thorbjornsen Jan 2022

Toward A Student-Ready Cybersecurity Program: Findings From A Survey Of Stem-Students, Lora Pitman, Brian K. Payne, Tancy Vandecar-Burdin, Lenora Thorbjornsen

Journal of Cybersecurity Education, Research and Practice

As the number of available cybersecurity jobs continues to grow, colleges strive to offer to their cybersecurity students an environment which will make them sufficiently prepared to enter the workforce after graduation. This paper explores the academic and professional needs of STEM-students in various higher education institutions across Virginia and how cybersecurity programs can cater to these needs. It also seeks to propose an evidence-based approach for improving the existing cybersecurity programs so that they can become more inclusive and student-ready. A survey of 251 college students in four higher-education institutions in Virginia showed that while there are common patterns …

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Editorial, Michael E. Whitman, Herbert J. Mattord, Hossain Shahriar Jan 2022

Editorial, Michael E. Whitman, Herbert J. Mattord, Hossain Shahriar

Journal of Cybersecurity Education, Research and Practice

Since 2016, it has been the mission of the Journal of Cybersecurity Education, Research, and Practice (JCERP) to be a premier outlet for high-quality information security and cybersecurity-related articles of interest to teaching faculty and students. This is the 13th edition of the (JCERP) and, as ever, we are seeking authors who produce high-quality research and practice-oriented articles focused on the development and delivery of information security and cybersecurity curriculum, innovation in applied scholarship, and industry best practices in information security and cybersecurity in the enterprise for double-blind review and publication. The journal invites submissions on Information Security, Cybersecurity, …

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The Impact Of A Gencyber Camp On In-Service Teachers’ Tpack, Kevin M. Thomas, Jessica Ivy, Kristin Cook, Robert R. Kelley Jan 2022

The Impact Of A Gencyber Camp On In-Service Teachers’ Tpack, Kevin M. Thomas, Jessica Ivy, Kristin Cook, Robert R. Kelley

Journal of Cybersecurity Education, Research and Practice

The purpose of this study was to examine the impact of a GenCyber camp curriculum on teachers’ technology, pedagogy, and content knowledge (TPACK). The camp was designed to engage participants in developing the knowledge and skills to incorporate GenCyber Cybersecurity First Principles and GenCyber Cybersecurity Concepts (GenCyber, 2019) into their curriculums. Participants (37 middle and high school teachers from a variety of disciplines) attended one of two weeklong camps held at a Midwestern liberal arts university. Using the TPACK Self-Reflection and TPACK Self-Assessment Surveys, pre- and post-camp data were collected from participants. Findings indicate that participants demonstrated an increase in …

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Detection Of Epilepsy Using Machine Learning, Balamurugan Murugesan Jan 2022

Detection Of Epilepsy Using Machine Learning, Balamurugan Murugesan

Electronic Theses, Projects, and Dissertations

Epilepsy is a complex neurological disorder characterized by recurrent seizures. An electroencephalogram (EEG) is typically used in the diagnosis of Epilepsy. Normally, EEGs are reviewed and analyzed by trained neurologists, but this can be time-consuming and error-prone. In this paper, we propose combining multiple classifiers in a multi-level fashion using stacked generalization to develop an effective solution for the detection of epilepsy using EEG data. Different classifiers such as Random Forest (RF), Recurrent Neural Networks (RNN), and XGBoost (XGB) were tested. The method was evaluated using Children’s Hospital Boston and Massachusetts Institute of Technology (CHB-MIT) dataset. The experimental results demonstrated …

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Cover-Copy-Compare As A Math Fact Fluency Intervention For Students In An Alternative Special Education Program, Raelynn J. Lamminen Jan 2022

Cover-Copy-Compare As A Math Fact Fluency Intervention For Students In An Alternative Special Education Program, Raelynn J. Lamminen

All Graduate Theses, Dissertations, and Other Capstone Projects

Cover-Copy-Compare (CCC) has been identified as an empirically supported and socially valid intervention for promoting math fact fluency across instructional settings. However, limited research has investigated the effectiveness of CCC as a math fact fluency intervention within the setting IV environment with even fewer studies including behavioral measures as a dependent variable. Therefore, this study investigated the effects of CCC as a math fact fluency intervention with four 4th-6th grade students within the setting IV environment with math fluency deficits. Using a multiple baseline across participants design, baseline levels of digits correct per minute (DCPM) and on-task behavior were compared …

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Changing Selection And Epistasis On Drivers Over Tumorigenesis In Primary And Metastatic Prostate Cancer, Alexander Yang Jan 2022

Changing Selection And Epistasis On Drivers Over Tumorigenesis In Primary And Metastatic Prostate Cancer, Alexander Yang

Yale Medicine Thesis Digital Library

Background: Many attempts have been made to characterize and describe the driver genes and mutations responsible for prostate cancer tumorigenesis. We have quantified the cancer effect size—a direct measurement of the survival advantage a mutation confers—for 2699 primary and metastatic prostate tumor samples. Our measure of cancer effect treats tumorigenesis as an evolutionary process, subject to positive and negative selective pressures. We have applied this metric in a stage-specific manner to elucidate which mutations are selected for as prostate cancer develops.Methods: We analyzed 2699 prostate cancer tumor exomes, genomes, and panel sequences (1648 primary tumors and 1051 metastatic samples). The …

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One Too Many Sticks For The Trademark Bundle? The Unintended Consequences Of Luxury Brands’ Push For A Post-First Sale Authentication Right, Betina A. Baumgarten Jan 2022

One Too Many Sticks For The Trademark Bundle? The Unintended Consequences Of Luxury Brands’ Push For A Post-First Sale Authentication Right, Betina A. Baumgarten

Loyola of Los Angeles Entertainment Law Review

The unprecedented and exponential growth of resale is both a rose and a thorn to the luxury market. Some fashion brands construe resale as an opportunity to diversify and expand their client base; while others, who firmly subscribe to a luxury philosophy grounded in exclusivity, believe resale threatens everything from their brand allure to their very existence. Indeed, when Chanel declared that “[o]nly Chanel itself can know what is genuine Chanel,” it opened Pandora’s box by providing far more than a peek into its litigation strategy. Chanel’s declaration all but declared war on the secondary resale market in not only …

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On Ramsey And Gallai-Ramsey Numbers Of Some Classes Of Graphs, Qinghong Zhao Jan 2022

On Ramsey And Gallai-Ramsey Numbers Of Some Classes Of Graphs, Qinghong Zhao

Electronic Theses and Dissertations

In 1930, Frank Ramsey showed that one will find a monochromatic clique of a specified size in any edge coloring of a sufficiently large complete graph. This result is commonly known as Ramsey's theorem. The role of Ramsey number is to quantify some specific problems related to Ramsey's theorem. Given a graph H, the Ramsey number R_2(H) is the minimum integer p such that every 2-edge-coloring of the complete graph K_p contains a monochromatic copy of H. Ramsey numbers have been a hot topic in graph theory for decades due to their intrinsic beauty, wide applicability and overwhelming difficulty. Let …

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Almostaqbal: Envisioning A Better Arab Future, Mohamed Gameel, Muhammad Alaraby, Firas Al-Atraqchi Jan 2022

Almostaqbal: Envisioning A Better Arab Future, Mohamed Gameel, Muhammad Alaraby, Firas Al-Atraqchi

Faculty Journal Articles

An excerpt from the American University in Cairo’s blue-ribbon report, “AlMostaqbal: Envisioning a Better Arab Future”.

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