Digital Commons Network^™

The Unfulfilled Promise: What Circumstances Matter When Assessing A Child’S Individualized Education Plan?, Andrew Simon

Student Works

No abstract provided.

Redlining And Opioid Overdose Outcomes: Do Historical Housing Policies Still Impact Health Today?, Sahana Paravantavida

Honors Theses

This study examines the relationship between historical housing policies and current health outcomes, specifically the impact of redlining on opioid overdose rates. Using data collected from the state of New Jersey, neighborhoods with a history of redlining have higher rates of opioid overdose deaths. My findings suggest that historical housing policies, which systematically excluded certain populations from accessing affordable housing and resources, continue to impact health outcomes today.

Evaluative Thinking Amid Disaster, Phung Khanh Pham

CGU Theses & Dissertations

Evaluation and emergency medicine have appreciable parallels and are likely to intertwine as they each evolve, especially in response to disasters or other pervasive problems that can worsen into the future. Evaluative thinking—which largely involves critical thinking, valuing, and other dynamic processes—may be ubiquitously useful to practitioners, scholars, and others from both these fields of practice. In this dissertation, I referenced the dual systems theory of the human mind to conceptualize evaluative thinking as paradoxically fast (automatic) and slow (deliberate), and I characterized the COVID-19 pandemic as a disaster laden with societal games. Derived from game theory, societal games range …

African American Women In The Academy: Meaningful Pathways To Productive Careers, Kenya Marshall Harper

CGU Theses & Dissertations

African American female professors hold prominent, influential roles inside and outside university settings. In universities, professors are impactful mentors and role models influencing students' academic dispositions and outcomes (Zinn & Walker, 2018; Hine & Thompson, 1998). In communities, they provide meaningful scholarship that influences academic, workplace, and extracurricular equity and advancement opportunities (Njoku & Patton, 2017; Evans, 2016; Cooper, 2006). The current study investigates the individual aptitude, school/instruction , and environmental factors influencing African American females' life-span academic talent development. A mixed-method research approach, including a structured interview protocol and online survey, is used to investigate study participants' early to …

Earnings Gap Between Urban And Rural Migrant Workers In Vietnam, Kristen Le

Honors Theses

This thesis studies whether there is an earnings disparity between urban and rural migrant workers in Vietnam’s urban areas and whether that earnings gap is due to individual characteristics and human capital levels or other unobserved factors. In this paper, urban workers, or urban residents, are workers who have household registration status in the urban cities where they work. On the other hand, rural migrant workers, or rural-to-urban migrants, are defined as workers who live and work in urban cities but have their registered household statuses in other rural areas. Using the Vietnam Household Living Standard Survey (VHLSS) in 2008, …

Abet To Ku Lo Peos To Mvv, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Syl Ece-Report Writing Guidelines, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Syl Ee490 Syllabus, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Hb Employee Handbook July2023, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Hb Faculty Handbook 2023-24, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Fin Projects List 2018-23, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Hb Student Handbook 2023-2024, Kettering University

Assurance Argument Evidence Files

No abstract provided.

Clausal Or Phrasal: Variability Of Lexical Bundles In L1 And Turkish L2 English Research Articles, Fatih Güngö, Hacer Hande Uysal

PASAA

This study aimed to compare how native and non-native Turkish authors use four-word lexical bundles in research articles written in English in educational sciences. The two-million-word corpus included 165 research articles in L2 English and 206 in L1 English. Our corpus query resulted in 119 bundles in L2 English and 79 bundles in L1 English with a cut-off point of 20 times per million words and the occurrence in at least 10% of the articles in each corpus. The frequency results reveal that non-native authors dominantly use lexical bundles in their research articles. The classification of bundles revealed considerable structural …

Perspectives On Online Learning And Technostress Experienced By Science And Non-Science First-Year University Students During Covid-19, Teerada Chongkolrattanaporn, Woralan Kongpolphrom

PASAA

This study examined perspectives on online learning, focusing on synchronous and asynchronous modes and technostress experienced by first-year students during the COVID-19 pandemic. Based on a survey of 803 first-year university respondents, the results indicated that both science and nonscience students held different perspectives on synchronous and asynchronous modes of learning. The students from both groups also experienced varying levels of technostress, with techno-overload being the most pronounced. There was a significant difference in attitudes towards online learning modes and in technostress between science and non-science students. Non-science students were more positive toward asynchronous modes and reported higher levels of …

On The Modelling Of Short And Intermediate Water Waves, Rossen Ivanov

Articles

Most of the model equations for water waves are approximations for the long-wave propagation regimes, since most of the energy of the wave motion is concentrated in these waves. Long waves (or shallow-water waves) are defined usually as the depth to wavelength ratio δ = h/λ < 0.05. Several famous integrable nonlinear equations, like the K d V equation [1,2], are models for long waves of small amplitude. The short waves (or waves over deep water) are usually defined with δ > 0.5, and the intermediate waves (or transitional waves) - with 0.05 < δ < 0.5. The intermediate and short waves received a lot less attention, and one reason is perhaps the fact that the corresponding approximations lead to more complicated, nonlinear and nonlocal equations. In [3] an integral equation for surface waves has been proposed for arbitrary wavelengths and finite depth. The problem has been studied in [4] and model equations both for long and short waves are derived from the governing equations as well. The short-wave effects usually compete with the capillarity effects and then resonances can be observed — these have been studied quite a lot, see for example [5–12]. For the intermediate long waves or for waves on deep water the so-called Benjamin–Ono (BO) [13–15] and the Intermediate Long Wave Equation (ILWE) [16–18] are derived for the internal waves below a flat surface, which leads to some simplifications and these models are in fact integrable.

The Lagrangian Formulation For Wave Motion With A Shear Current And Surface Tension, Conor Curtin, Rossen Ivanov

Articles

The Lagrangian formulation for the irrotational wave motion is straightforward and follows from a Lagrangian functional which is the difference between the kinetic and the potential energy of the system. In the case of fluid with constant vorticity, which arises for example when a shear current is present, the separation of the energy into kinetic and potential is not at all obvious and neither is the Lagrangian formulation of the problem. Nevertheless, we use the known Hamiltonian formulation of the problem in this case to obtain the Lagrangian density function, and utilising the Euler-Lagrange equations we proceed to derive some …

Improving Connectivity For Remote Cancer Patient Symptom Monitoring And Reporting In Rural Medically Underserved Regions, Esther Max-Onakpoya

Theses and Dissertations--Computer Science

Rural residents are often faced with many disparities when compared to their urban counterparts. Two key areas where these disparities are apparent are access to health and Internet services. Improved access to healthcare services has the potential to increase residents' quality of life and life expectancy. Additionally, improved access to Internet services can create significant social returns in increasing job and educational opportunities, and improving access to healthcare. Therefore, this dissertation focuses on the intersection between access to Internet and healthcare services in rural areas. More specifically, it attempts to analyze systems that can be used to improve Internet access …

Multi-Domain Adaptation For Image Classification, Depth Estimation, And Semantic Segmentation, Yu Zhang

Theses and Dissertations--Computer Science

The appearance of scenes may change for many reasons, including the viewpoint, the time of day, the weather, and the seasons. Traditionally, deep neural networks are trained and evaluated using images from the same scene and domain to avoid the domain gap. Recent advances in domain adaptation have led to a new type of method that bridges such domain gaps and learns from multiple domains.

This dissertation proposes methods for multi-domain adaptation for various computer vision tasks, including image classification, depth estimation, and semantic segmentation. The first work focuses on semi-supervised domain adaptation. I address this semi-supervised setting and propose …

Small Approximate Pareto Sets With Quality Bounds, William Bailey

Theses and Dissertations--Computer Science

We present and empirically characterize a general, parallel, heuristic algorithm for computing small ε-Pareto sets. The algorithm can be used as part of a decision support tool for settings in which computing points in objective space is computationally expensive. We use the graph clearing problem, a formalization of indirect organ exchange markets, as a prototypical example setting. We characterize the performance of the algorithm through ε-Pareto set size, ε value provided, and parallel speedup achieved. Our results show that the algorithm's combination of parallel speedup and small ε-Pareto sets is sufficient to be appealing in settings requiring manual review (i.e., …

Multi-Agent Learning For Game-Theoretical Problems, Kshitija Taywade

Theses and Dissertations--Computer Science

Multi-agent systems are prevalent in the real world in various domains. In many multi-agent systems, interaction among agents is inevitable, and cooperation in some form is needed among agents to deal with the task at hand. We model the type of multi-agent systems where autonomous agents inhabit an environment with no global control or global knowledge, decentralized in the true sense. In particular, we consider game-theoretical problems such as the hedonic coalition formation games, matching problems, and Cournot games. We propose novel decentralized learning and multi-agent reinforcement learning approaches to train agents in learning behaviors and adapting to the environments. …

A Secure And Distributed Architecture For Vehicular Cloud And Protocols For Privacy-Preserving Message Dissemination In Vehicular Ad Hoc Networks, Hassan Mistareehi

Theses and Dissertations--Computer Science

Given the enormous interest in self-driving cars, Vehicular Ad hoc NETworks (VANETs) are likely to be widely deployed in the near future. Cloud computing is also gaining widespread deployment. Marriage between cloud computing and VANETs would help solve many of the needs of drivers, law enforcement agencies, traffic management, etc. The contributions of this dissertation are summarized as follows: A Secure and Distributed Architecture for Vehicular Cloud: Ensuring security and privacy is an important issue in the vehicular cloud; if information exchanged between entities is modified by a malicious vehicle, serious consequences such as traffic congestion and accidents can …

Machine Learning Framework For Real-World Electronic Health Records Regarding Missingness, Interpretability, And Fairness, Jing Lucas Liu

Theses and Dissertations--Computer Science

Machine learning (ML) and deep learning (DL) techniques have shown promising results in healthcare applications using Electronic Health Records (EHRs) data. However, their adoption in real-world healthcare settings is hindered by three major challenges. Firstly, real-world EHR data typically contains numerous missing values. Secondly, traditional ML/DL models are typically considered black-boxes, whereas interpretability is required for real-world healthcare applications. Finally, differences in data distributions may lead to unfairness and performance disparities, particularly in subpopulations.

This dissertation proposes methods to address missing data, interpretability, and fairness issues. The first work proposes an ensemble prediction framework for EHR data with large missing …

The Basil Technique: Bias Adaptive Statistical Inference Learning Agents For Learning From Human Feedback, Jonathan Indigo Watson

Theses and Dissertations--Computer Science

We introduce a novel approach for learning behaviors using human-provided feedback that is subject to systematic bias. Our method, known as BASIL, models the feedback signal as a combination of a heuristic evaluation of an action's utility and a probabilistically-drawn bias value, characterized by unknown parameters. We present both the general framework for our technique and specific algorithms for biases drawn from a normal distribution. We evaluate our approach across various environments and tasks, comparing it to interactive and non-interactive machine learning methods, including deep learning techniques, using human trainers and a synthetic oracle with feedback distorted to varying degrees. …

Deep Learning Models For Ct Image Standardization, Md Selim

Theses and Dissertations--Computer Science

Multicentric CT imaging studies often encounter images acquired with scanners from different vendors or using different reconstruction algorithms. This leads to inconsistencies in noise level, sharpness, and edge enhancement, resulting in a lack of homogeneity in radiomic characteristics. These inconsistencies create significant variations in radiomic features and ambiguity in data sharing across different institutions. Therefore, normalizing CT images acquired using non-standardized protocols is vital for decision-making in cross-center large-scale data sharing and radiomics studies. To address this issue, we present four end-to-end deep-learning-based models for CT image standardization and normalization. The first two models require paired training data and can …

Structured Attention For Image Analysis, Xin Xing

Theses and Dissertations--Computer Science

Attention mechanism, an approach to maintain the local and global features over the input, is the crucial element of the Transformer. This dissertation explores structured attention for image analysis, proposing attention-based methods for multi-label learning and Alzheimer’s Disease (AD) diagnosis.
For the multi-label learning task, I present two works under the Vision Transformer (ViT) framework. The first work focuses on supervised learning of multi-label classification. I address the problems of the multi-label classification and propose a model named AssocFormer, which adopts the association module to access the objects’ association relationship to improve the model performance. The second work addresses the …

Biomolecules From Macroalgae-Nutritional Profile And Bioactives For Novel Food Product Development, Laura E. Healy, Xianglu Zhu, Milica Pojić, Carl Sullivan, Uma Tiwari, James Curtin, Brijesh K Tiwari

Articles

Seaweed is in the spotlight as a promising source of nutrition for humans as the search for sustainable food production systems continues. Seaweed has a well-documented rich nutritional profile containing compounds such as polyphenols, carotenoids and polysaccharides as well as proteins, fatty acids and minerals. Seaweed processing for the extraction of functional ingredients such as alginate, agar, and carrageenan is well-established. Novel pretreatments such as ultrasound assisted extraction or high-pressure processing can be incorporated to more efficiently extract these targeted ingredients. The scope of products that can be created using seaweed are wide ranging: from bread and noodles to yoghurt …

Triplet Sensitization Enables Bidirectional Isomerization Of Diazocine With 130 Nm Redshift In Excitation Wavelengths, Jussi Isokuortti, Thomas Griebenow, Jan-Simon Von Glasenapp, Tim Raeker, Timo Laaksonen, Rainer Herges, Nikita A. Durandin

Articles

Diazocines are bridged azobenzenes with phenyl rings connected by a CH2–CH2 group. Despite this rather small structural difference, diazocine exhibits improved properties over azobenzene as a photoswitch and most importantly, its Z configuration is more stable than the E isomer. Herein, we reveal yet another unique feature of this emerging class of photoswitches. In striking contrast to azobenzenes and other photochromes, diazocine can be selectively switched in E / Z direction and most intriguingly from its thermodynamically stable Z to metastable E isomer upon successive excitation of two different triplet sensitizers present in solution at the same time. This approach …

The Biological Responses Of Vitamin K2: A Comprehensive Review, Quanxiang Yan, Tao Zhang, Christine O'Connor, James W. Barlow, John Walsh, Gaia Scalabrino, Feng Xu, Helan Sheridan

Articles

Vitamin K1 (VitK1) and Vitamin K2 (VitK2), two important naturally occurring micronutrients in the VitK family, found, respectively, in green leafy plants and algae (VitK1) and animal and fermented foods (VitK2). The present review explores the multiple biological functions of VitK2 from recently published in vitro and in vivo studies, including promotion of osteogenesis, prevention of calcification, relief of menopausal symptoms, enhancement of mitochondrial energy release, hepato-and neuro-protective effects, and possible use in treatment of coronavirus disease. The mechanisms of action associated with these biological effects are also explored. Overall, the findings presented here suggest that VitK, especially VitK2, is …

Boundedness Of Bergman Projections Acting On Weighted Mixed Norm Spaces, Ivana Savkovic

Turkish Journal of Mathematics

We prove that Bergman projections on weighted mixed norm spaces on smoothly bounded domains in $\mathbb{R}^n$ are bounded for a certain range of parameters of such spaces and assuming certain conditions on weights. The proof relies on estimates of integral means of $M_p(P_\gamma f, r)$ in terms of integral means of $f$. This result complements earlier result on boundedness of $P_\gamma$ on a closely related space $L^{p,q}_\alpha(\Omega).$

Between Graphical Zonotope And Graph-Associahedron, Marko Pesovic, Tanja Stojadinovic

Turkish Journal of Mathematics

This manuscript introduces a finite collection of generalized permutohedra associated to a simple graph. The first polytope of this collection is the graphical zonotope of the graph, and the last is the graph-associahedron associated to it. We describe the weighted integer points enumerators for polytopes in this collection as Hopf algebra morphisms of combinatorial Hopf algebras of decorated graphs. In the last section, we study some properties related to $\mathcal{H}$-polytopes.