Digital Commons Network^™

Changes In Lake Drainage In The Western Canadian Arctic, Dilshan Kariyawasam, Philip Marsh Dr

Theses and Dissertations (Comprehensive)

Nearly half of all Pan-Arctic lakes are situated in the Canadian Arctic, with many of these lakes being of thermokarst origin. Thermokarst lakes are sensitive to changes in the surrounding environment, making them useful indicators to examine the condition of hydrological systems in response to rapid climate warming, a trend which has been well observed in the Canadian Western Arctic. In this study, we use aerial photography to quantify lake area and count changes for lakes in the Inuvik-Tuktoyaktuk region, between 1950 and 2004. A combination of aerial photography and Landsat imagery were used in identifying drained thermokarst lake basins …

Exploring Visitor Perceptions And Behaviours Related To Ticks And Lyme Disease Risk In An Ontario Protected Area, Ryan Brady

Theses and Dissertations (Comprehensive)

Lyme disease is the most common vector-borne zoonosis in North America and over the past decade, reported cases of the disease have been rapidly increasing in many regions throughout Canada. The relative novelty of this public health threat presents nature-based tourism and recreation organizations with a range of policy and management challenges. Currently, there is a limited understanding of public perceptions and behaviours associated with tick and Lyme disease risk, especially within a Canadian parks and protected areas visitation and visitor experience context. To address this practical and scholarly knowledge gap, this study utilized in-situ surveys to explore visitor perceptions, …

Enhancing Zero-Shot And Few-Shot Text Classification Using Pre-Trained Language Models, Yanan Chen

Theses and Dissertations (Comprehensive)

In recent years, the community of natural language processing (NLP) has seen amazing progress in the development of pre-trained language models (PLMs). The novel paradigm of PLMs does not require labeled data, allowing us to experiment with increased training scale through employing freely available colossal online self-training corpus to push the limits. Language models (LMs), such as GPT, BERT and T5, have achieved high performance on a wide range of NLP tasks. Meanwhile, research on zero-shot and few-shot text classification has received increasing attention. As labelling can be costly and time-consuming, how to perform data augmentation (DA) and enhance the …

How Narcissism Relates To (Non-) Cooperation, Christopher Chinn

Theses and Dissertations (Comprehensive)

Cooperative behaviour is integral to modern society. Individuals who are high in trait narcissism have personality traits that appear inconsistent with cooperation, such as selfishness, competitiveness, and antagonism. Research has yet to determine whether these individuals, when given the opportunity, are less likely to engage in cooperative behaviour, to the detriment of others. The present studies investigated the effect of several distinct expressions of trait narcissism on cooperation in social dilemmas and potential underlying causes of non-cooperation in narcissistic individuals. In Study 1, participants (N = 355) were randomly assigned to one of three prisoner’s dilemma conditions (control, low …

Agent-Based Modelling And Big Data: Applications For Maritime Traffic Analysis, Marc Sirizzotti

Theses and Dissertations (Comprehensive)

Agent based modeling (ABM) is a powerful tool for examining complex systems in many scientific applications, including maritime transport systems. Growing demands for freight transport and increased industry emphasis on reducing environmental impacts have heightened the focus on vessel and port efficiency. This research aimed to create a maritime route planning model to simulate vessel movement in all waterways. The goal of the ship routing model developed in this research was to develop a simulation tool capable of reproducing real world shipping routes useful for navigation planning, with emphasis on port scheduling and potential application for further use and exploration. …

Air Quality: Assessment Of Pollutant Levels And Chemistry In Kitchener, On Using Multisensor Pods, Wisam Mohammed

Theses and Dissertations (Comprehensive)

Air quality is a growing concern amongst governmental bodies worldwide. A large number of scientific studies accumulated over the past 25 years suggest that poor ambient air quality is attributed to adverse health effects, especially in vulnerable communities that exhibit pre-existing conditions. The United Nations Children’s Fund (UNICEF) reported around 600 000 deaths globally in children under the age of 5 as a result of acute lower respiratory infections caused by poor air quality. With the current statistics on air quality impacts, it is clear that more needs to be done. This MSc work aims to put into perspective the …

Mediating Language Fluency Development: An Action Research Study In A High-School Ap Chinese Second-Or-Foreign-Language Task-Based Language Teaching Classroom, Jing Liang

Doctoral Dissertations

Fluency development is critical in language learning; however, the teacher’s role as a mediator in a learner’s fluency development rarely has been explored in Task-Based Language Teaching (TBLT) classrooms. This study investigated how a teacher, as the human mediator who can be certain that stimuli in the learning environment will be available and benefit the learners, implemented mediation under the guidance of Mediated Learning Experience (MLE) theory in aiding learners’ speaking cognitive and utterance fluency development in one AP Chinese high-school TBLT classroom in the Bay Area. MLE theory, developed by psychologist Reuven Feuerstein, provided a mediation framework for this …

The Torch: Suffolk University College Of Arts & Sciences Honors Program Newsletter, No. 11, Winter 2022, College Of Arts & Sciences Honors Program

Torch Newsletter

No abstract provided.

Effects Of Teaching Argument To First-Year Community-College Students Using A Structural And Dialectical Approach, Sharon Radcliff

Doctoral Dissertations

The purpose of this study was to measure to what extent an experimental method of teaching argument incorporating elements from both Toulmin’s (2004) structural approach and Walton’s (2013) dialectical approach effects first-year college students’ ability to write strong arguments. This experimental instruction used critical questioning as a strategy in building a strong argument, incorporating alternative viewpoints, and creating a dialogue between claims and counterclaims, backed logically by verifiable evidence from reliable sources.

Using the Analytic Scoring Rubric of Argumentative Writing (ASRAW; Stapleton & Wu, 2015) that includes the argument elements of claims, data, counterclaim, counterclaim data, rebuttal claim, and rebuttal …

Cuentos Criollos: Colombian Internally Displaced Families As Knowledge Producers, Liliana Salazar De Deck

Doctoral Dissertations

Colombia continues to report the highest number of internally displaced people (IDPs) with over eight million registered in 2021 (UNHCR, 2021). The majority of the internally displaced people are campesinos, AfroColombians, and members of Indigenous communities. Historically, people in these demographic groups have been excluded from political participation and wealth accumulation, and their identities are minoritized (Bello, 2003). Urban schools have become contact zones (Pratt, 1991) for internally displaced families and various economic, social, and political discourses attempt to explore and explain their experiences. However, the voices of the families themselves are not often found within this body of scholarship. …

"My Body Goes Numb A Lot Of The Time": Examining High School Student-Athlete Experiences Using Youth Participatory Action Research And Embodied Culturally Relevant Pedagogy, Gabriela Elizabeth Holmes

Doctoral Dissertations

For many students, the classroom represents a place of oppression, stress, and routine, in which their voices are silenced and they are expected to sit still, listen, take notes, and regurgitate the arbitrary information their teachers share (Freire, 1970/2000; Robinson & Aronica, 2015). Conversely, for many youth, sports are a source of joy, self-expression, creativity, and empowerment that naturally capture their interest and engagement (Duncan-Andrade, 2010; Spooner, 2002). Unfortunately, our education system fails to utilize the passion student-athletes demonstrate for sports to motivate them in the classroom. The purpose of this study is to explore the experiences of high school …

Effect Of Connection State & Transport/Application Protocol On The Machine Learning Outlier Detection Of Network Intrusions, George Yuchi, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

The majority of cyber infiltration & exfiltration intrusions leave a network footprint, and due to the multi-faceted nature of detecting network intrusions, it is often difficult to detect. In this work a Zeek-processed PCAP dataset containing the metadata of 36,667 network packets was modeled with several machine learning algorithms to classify normal vs. anomalous network activity. Principal component analysis with a 10% contamination factor was used to identify anomalous behavior. Models were created using recursive feature elimination on logistic regression and XGBClassifier algorithms, and also using Bayesian and bandit optimization of neural network hyperparameters. These models were trained on a …

Machine Learning Land Cover And Land Use Classification Of 4-Band Satellite Imagery, Lorelei Turner, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

Land-cover and land-use classification generates categories of terrestrial features, such as water or trees, which can be used to track how land is used. This work applies classical, ensemble and neural network machine learning algorithms to a multispectral remote sensing dataset containing 405,000 28x28 pixel image patches in 4 electromagnetic frequency bands. For each algorithm, model metrics and prediction execution time were evaluated, resulting in two families of models; fast and precise. The prediction time for an 81,000-patch group of predictions wasmodels, and >5s for the precise models, and there was not a significant change in prediction time when a …

Effect Of Trigonometric Transformations On The Machine Learning Prediction And Quality Control Of Air Temperature, Andrea Fenoglio, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

Conducting effective quality control of weather observations in real time is vital to the 14th Weather Squadron’s mission of providing authoritative climate data. This study explored automated quality control of weather observations by applying multiple machine learning techniques to 43,487 surface weather observations from 5 years of data at a single location. Temperature predictors were evaluated using recursive feature elimination on linear regression and XGBoost algorithms, as well as using a neural network hyperparameter sweep. Modeling was repeated after calculating trigonometric transforms of temporal variables to give the models insight into the diurnal heating cycle of the Earth. All models …

New Lower Bounds On The Size-Ramsey Number Of A Path, Deepak Bal, Louis Debiasio

Department of Mathematics Faculty Scholarship and Creative Works

We prove that for all graphs with at most (3.75 − o(1))n edges there exists a 2-coloring of the edges such that every monochromatic path has order less than n. This was previously known to be true for graphs with at most 2.5n − 7.5 edges. We also improve on the best-known lower bounds in the r-color case.

Update On Mri In Evaluation And Treatment Of Endometrial Cancer, Ekta Maheshwari, Stephanie Nougaret, Erica B Stein, Gaiane M Rauch, Ken-Pin Hwang, R Jason Stafford, Ann H Klopp, Pamela T Soliman, Katherine E Maturen, Andrea G Rockall, Susanna I Lee, Elizabeth A Sadowski, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Endometrial cancer is the second most common gynecologic cancer worldwide and the most common gynecologic cancer in the United States, with an increasing incidence in high-income countries. Although the International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer is a surgical staging system, contemporary published evidence-based data and expert opinions recommend MRI for treatment planning as it provides critical diagnostic information on tumor size and depth, extent of myometrial and cervical invasion, extrauterine extent, and lymph node status, all of which are essential in choosing the most appropriate therapy. Multiparametric MRI using a combination of T2-weighted sequences, …

Magneto-Exothermic Catalytic Chemical Reaction Along A Curved Surface, Muhammad Ashraf, Uzma Ahmad, Saqib Zia, Rama S. R. Gorla, Amnah S. Al-Johani, Ilyas Khan, Mulugeta Andualem

Faculty Publications

In the current study, the physical behavior of the boundary layer flows along a curved surface owing exothermic catalytic chemical reaction, and the magnetic field is investigated. The mathematical model comprised of a part of momentum, energy, and mass equations, which are solved using a finite difference method along with primitive variable formulation. Numerical solutions, using the method of quantitative differentiation, are made with the appropriate choice of dimensionless parameters. Analysis of the results obtained shows that the field temperature and flow of fluids are strongly influenced by the combined effects of catalytic chemical reactions and the magnetic field. The …

The Utilization And Loss Of Available Energy In Aerospace Systems, Mohammad Abbas

Doctoral Dissertations

“Theoretical principles and analytical methodology for the control volume-based energy availability methodology for aerospace vehicles are developed; applications are made to jet-propelled and rocket-propelled vehicles as well as to stand-alone engine systems. Energy availability utilization characteristics of a modeled turbojet engine are studied across a wide range of operating conditions of throttle setting, flight altitude, and flight Mach number. The method is also extended to consider jet-powered vehicles. Fundamental principles regarding entropy generation and energy availability are developed, including directly linking entropy generation and maximum range and endurance of a powered aircraft. Theory and application of the energy utilization methodology …

Robotic Replica Of A Human Spine Uses Soft Magnetic Sensor Array To Forecast Intervertebral Loads And Posture After Surgery, Frank Vrionis

All Publications

No abstract provided.

Adsorption Of Arsenic Onto River Sediments, Leticia Augusta Dos Santos Ferreira

Masters Theses

“Previous studies have noted the relationship between shallow groundwater rich in sodium (Na) and bicarbonate (HCO₃) and elevated levels of dissolved arsenic. However, most experimental work on arsenic adsorption in the presence of HCO₃ and differing Na/Ca ratios has proven difficult to extrapolate to natural systems because of differences in tested mineral compositions and component concentrations. In this study, I performed a series of adsorption experiments using river sediments to evaluate the influence of HCO₃ and monovalent/divalent cations on the extent of arsenic adsorption onto natural sediment in groundwater.

Batch adsorption (kinetics, equilibrium, and metal loading) …

Experimental Optimization Of Simulated Ring Rolling Operation For Heavy Rail Industry, Jacob M. Summers

Masters Theses

“Industrially cast AISI 1070 steel wheel pre-forms from Amsted Rail Co. were experimentally hot rolled to simulate the conditions for industrial wheel rolling. Ring rolling of near net shape castings can improve location specific properties by decreasing segregation, closing porosity, and reducing grain size without the use of multiple forging operations in a traditional forging line. As-cast wheel sections were subjected to thermomechanical processing routes using a 2-high rolling mill in a temperature range of 830°C to 1200°C. The goal being to simulate the ring rolling process and optimize benefits of mechanical properties of the as-rolled steel. Charpy V- and …

Several Problems In Nonlinear Schrödinger Equations, Tim Van Hoose

Masters Theses

“We study several different problems related to nonlinear Schrödinger equations….

We prove several new results for the first equation: a modified scattering result for both an averaged version of the equation and the full equation, as well as a set of Strichartz estimates and a blowup result for the 3d cubic problem.

We also present an exposition of the classical work of Bourgain on invariant measures for the second equation in the mass-subcritical regime”--Abstract, page iv.

Innovation's Hidden Externalities, Stephanie Plamondon Bair

Faculty Scholarship

When commentators discuss innovation’s externalities, they often classify them into one of two categories. On the positive externalities, or “spillovers” side, legal and economics scholars often speak of the benefits innovation confers on other innovators. Future innovators profit from past innovation as they “stand on the shoulders of giants” to develop progressively new and better innovation. Discussion of innovation’s negative externalities, on the other hand, has mainly focused on social harms not directly related to future innovation that particular advances impose on third parties—the classic example being pollution. Thus, the common understanding is that innovation’s spillovers positively impact innovation (among …

Contractual Evolution, Matthew C. Jennejohn, Eric Talley

Faculty Scholarship

Conventional wisdom portrays contracts as static distillations of parties’ shared intent at some discrete point in time. In reality, however, contract terms evolve in response to their environments, including new laws, legal interpretations, and economic shocks. While several legal scholars have offered stylized accounts of this evolutionary process, we still lack a coherent, general theory that broadly captures the dynamics of real-world contracting practice. This paper advances such a theory, in which the evolution of contract terms is a byproduct of several key features, including efficiency concerns, information, and sequential learning by attorneys who negotiate several deals over time. Each …

Actively Achieving Greater Racial Equity In The Law School Classroom, Catherine Bramble

Faculty Scholarship

2020 and 2021 continue to illustrate the pervasiveness of implicit and explicit racism in our society. Less well-acknowledged and recognized is the extent to which Socratic pedagogy also reflects those pervasive racist realities while simultaneously resulting in inferior learning based on a teaching method invented 150+ years ago. Despite this racist and outdated reality, the legal academy has been reluctant to alter the traditional method of teaching. Tangible, empirical evidence obtained from data-driven cognitive learning science research demonstrates that active learning not only improves learning outcomes for all students, but also mitigates the structural effects of racism in the classroom …

Understanding A Low Vitamin D State In The Context Of Covid-19, James Bernard Walsh, Daniel Mccartney, Eamon Laird, Kevin Mccarroll, Declan G. Byrne, Martin Healy, Paul O'Shea, Rose Anne Kenny, John L. Faul

Articles

While a low vitamin D state has been associated with an increased risk of infection by SARS-CoV-2 in addition to an increased severity of COVID-19 disease, a causal role is not yet established. Here, we review the evidence relating to i) vitamin D and its role in SARS-CoV-2 infection and COVID-19 disease ii) the vitamin D status in the Irish adult population iii) the use of supplemental vitamin D to treat a deficient status and iv) the application of the Bradford-Hill causation criteria. We conclude that reverse causality probably makes a minimal contribution to the presence of low vitamin D …

Bioactive Peptides From Algae: Traditional And Novel Generation Strategies, Structure-Function Relationships, And Bioinformatics As Predictive Tools For Bioactivity, Jack O'Connor, Marco Garcia-Vaquero, Steve Meaney, Brijesh Kumar Tiwari

Articles

Over the last decade, algae have been explored as alternative and sustainable protein sources for a balanced diet and more recently, as a potential source of algal-derived bioactive peptides with potential health benefits. This review will focus on the emerging processes for the generation and isolation of bioactive peptides or cryptides from algae, including: (1) pre-treatments of algae for the extraction of protein by physical and biochemical methods; and (2) methods for the generation of bioactive including enzymatic hydrolysis and other emerging methods. To date, the main biological properties of the peptides identified from algae, including anti-hypertensive, antioxidant and antiproliferative/ …

Mental Health And Online Learning - Systematic Review Dataset, Stephanie L. Moore Phd, George Veletsianos, Michael Barbour

University Libraries & Learning Sciences Faculty and Staff Publications

While there has been a lot of debate over the impact of online and remote learning on mental health and well-being, there has been no systematic syntheses or reviews of the research on this particular issue. In this paper, we review the research on the relationship between mental health / well-being and online or remote learning. Our review shows that little scholarship existed prior to 2020 with most studies conducted during the COVID-19 pandemic. We report four findings: (a) pandemic effects are not well-controlled for in most studies; (b) studies present a very mixed picture, with variability around how mental …

Effect Of Acute Postsurgical Pain Trajectories On 30-Day And 1-Year Pain, Saria S Awadalla, Victoria Winslow, Michael S. Avidan, Simon Haroutounian, Thomas G. Kannampallil

2020-Current year OA Pubs

Untreated pain after surgery leads to poor patient satisfaction, longer hospital length of stay, lower health-related quality of life, and non-compliance with rehabilitation regimens. The aim of this study is to characterize the structure of acute pain trajectories during the postsurgical hospitalization period and quantify their association with pain at 30-days and 1-year after surgery. This cohort study included 2106 adult (≥18 years) surgical patients who consented to participate in the SATISFY-SOS registry (February 1, 2015 to September 30, 2017). Patients were excluded if they did not undergo invasive surgeries, were classified as outpatients, failed to complete follow up assessments …

Corrosion Protection Mechanisms Of Trivalent Chromium Based Passivations On Γ-Znni Coated Al6061-T6 Alloy, Kevin Foster

Doctoral Dissertations

“The role of cobalt in trivalent chromium passivations (TCPs) to improve corrosion resistance of γ-ZnNi coated steel and aluminum is based on its effect on hexavalent chromium content in the passive layer. Investigations of both a cobalt-containing and cobalt-free TCP on SAE 1008 steel indicated that both passivations protect well for up to 1000 hours in neutral salt spray exposure (SSE). A repetition on Al 6061-T6 alloy indicated that TCP performed much better than cobalt-free TCP implicating the underlying substrate. Optical and electron micrographs indicated physical changes such as crack thickness, crack density, passivation porosity, and passivation thickness existed between …