Digital Commons Network^™

Reproducibility And Accuracy Of The Virtual Occlusal Record, Anne M. Harper

Theses and Dissertations

Purpose: To evaluate the reproducibility and accuracy of the virtual occlusal record compared to the gold standard physical bite record

Methods: Two physical bite records of PVS and two virtual bites using an iTero Element scanner were obtained from 22 participants. Intraoral scans were exported as STL files, and virtual occlusal records were created. CBCT images were taken of physical occlusal records and converted to STL files. STL files were superimposed using Geomagic Control X™ Software. Root mean square (RMS) and percent similarity within 0.25 mm tolerance were compared at a significance level of 0.05.

Results: Average …

Nanopore Detection Of Long Time-Scale Single Metallic Cluster Conformational Changes And Surface Ligand Exchange, Bobby D. Cox

Theses and Dissertations

Single molecule nanopore spectroscopy serves as an emerging tool for studying small molecules in aqueous environments without the need for additional chemical labels. Recently it has been seeing increased use as a tool for investigating small metallic nanoparticles and clusters. These clusters consist of a handful of metallic atoms (e.g. Au18) and are regularly ‘passivated’ with organic ligands to provide functionality and protect against aggregation. There has been a widening gap in research studying the surface kinetics of these passivating ligands at the single molecule level as well as during the exchange process. In this work we investigated these surface …

Methods For Developing A Machine Learning Framework For Precise 3d Domain Boundary Prediction At Base-Level Resolution, Spiro C. Stilianoudakis

Theses and Dissertations

High-throughput chromosome conformation capture technology (Hi-C) has revealed extensive DNA looping and folding into discrete 3D domains. These include Topologically Associating Domains (TADs) and chromatin loops, the 3D domains critical for cellular processes like gene regulation and cell differentiation. The relatively low resolution of Hi-C data (regions of several kilobases in size) prevents precise mapping of domain boundaries by conventional TAD/loop-callers. However, high resolution genomic annotations associated with boundaries, such as CTCF and members of cohesin complex, suggest a computational approach for precise location of domain boundaries.

We developed preciseTAD, an optimized machine learning framework that leverages a random …

Single-Molecule Investigation Of I-Motif Folding And Dynamics In Bioinspired Dna Platforms, Anoja Megalathan

Theses and Dissertations

Although the canonical right-handed B-DNA is the predominant form of DNA in cells, DNA can adopt other secondary structures such as hairpins, G-quadruplexes (G4), and intercalated motifs (i-motif). These secondary structures are typically formed in the regions with repeat sequences. Among many secondary structures DNA can adopt, G-quadruplexes and i-motifs (tetraplex structures formed in the G-rich and C-rich sequences, respectively) caught significant research interest in recent years due to the prevalence of G-rich and C-rich sequences in the human genome. While G-quadruplexes are extensively studied, little is known about i-motifs – especially their formation and stability under cellular environments. For …

Multiplexed Nucleic Acid Sensing With Single Molecule Fret, Anisa Kaur

Theses and Dissertations

In recent years, biomarkers have drawn tremendous interest in the fields of clinical diagnostics and biotechnology. In fact, recent quests for biomarker analyses have discovered a myriad of disease-related biomarkers spanning a wide variety of biomolecules such as proteins, nucleic acids, and small molecule ligands. While the detection of only one target at a time is the most common practice in biosensing today, it has been shown that the accuracy of diagnosis increases significantly by measuring the level of multiple biomarkers instead of just one due to the possible overlap of certain biomarkers in more than one disease. However, currently …

Grief, Loss, And Climate Change: Validation Of A Solastalgia Scale, Claire Luce

Theses and Dissertations

Climate change has been identified as a defining issue of this century (United Nations, n.d.). Climate change impacts human wellbeing including mental health. While much research has focused on the way that the effects of climate change cause increases in common mental disorders, mental health is not just the absence of these disorders (World Health Organization, 2014). Non-pathologized mental health responses to climate change, such as the grief and loss that results from climate change impacts, are a growing consideration for researchers. Solastalgia, or the distress experienced in the absence of the solace once provided by the environment in the …

Tya And Educational Outreach In Higher Education: An Asset To Undergraduates And Their Community, Emily J. Mattison

Theses and Dissertations

Undergraduate students pursuing a career in theatre are at the beginning of their life-long training and understanding and appreciation for the art. Performing in a Theatre for Young Audiences (TYA) touring production alongside the responsibility of crafting educational outreach opportunities provides the students with a unique chance to comprehend the art they have chosen to devote their lives to. This paper details the value of offering a course I crafted entitled “TYA Educational Outreach”, for both the undergraduates enrolled and the community they would be reaching. While undergraduates develop an understanding of the impact theatre can have on an individual …

Modeling Vegetation Effects On Barrier Island Evolution, Eric W. Schoen

Theses and Dissertations

Barrier islands play a significant role in protecting coastlines and harboring coastal habitats. In an effort to study and better understand the evolution of barrier island systems, a cellular model capturing various meteorological and environmental processes is proposed. Erosion due to wind, gravity, and marine processes are coupled with plant population effects. We demonstrate the inhibition of plant cover on sediment mobility, island migration, and erosion in the presence of sea level rise.

Cloaca Palace, Connor Marie Stankard

Theses and Dissertations

In this thesis, I trace the compulsive fear of holes, known as trypophobia, from an uncontrollable obsession to a pleasurable preoccupation. The body’s physical porousness makes us receptive to our surroundings, allowing external matter in and destabilizing the boundaries of self and other. Matter invades us, encoding itself into our DNA and transforming humans into chimeric creatures.

Through paintings and multi-media installations, I encourage viewers to reflect on their own bodies as a series of holes, vulnerable receptors to the world. I use the figure of a woman to personify a human hole which has been infected by the outside, …

Governance ≠ Leadership: What Blockchain And Ai Won't Do For Corporate Lawyers, Jeffrey M. Lipshaw

Suffolk University Law School Faculty Works

This is a contribution to the Journal of Corporation Law’s 2020 symposium on blockchain technology and corporate governance. The thesis is that blockchain technology is well suited to the monitoring function in corporate governance; that monitoring as the primary function of corporate governance is a particularly legal conception; and that the business conception of governance has far more to do with leadership, strategy, and operations. If the legal and business conceptions of governance tend to be ships passing in the night (at least in this somewhat exaggerated rendering), it is because prevailing economic and legal theoretical models have a difficult …

Prediction Of Equivalent Liquid Permeability From Gas Permeability Measurements: A Recurrent Neural Network Approach, Husam Alkinani, Abo Taleb Al-Hameedi, Shari Dunn-Norman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

One of the most vital reservoir properties is permeability. It is usually measured using core samples with two major measurement methods: using gas or using liquid. The purpose of this work is to use a data-driven recurrent neural network model to estimate the equivalent liquid permeability based on gas permeability. By using this model, the equivalent liquid permeability can be predicted for the permeability of core samples with rich clay minerals measured using gas (or any core sample that is measured using gas). This will give an alternative way to the currently used method (Klinkenberg method). Core sample data measurements …

Will Carbon Dioxide Injection In Shale Reservoirs Produce From The Shale Matrix, Natural Fractures, Or Hydraulic Fractures?, Sherif Fakher, Youssef Elgahawy, Hesham Abdelaal, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Enhanced oil recovery (EOR) in shale reservoirs has been recently shown to increase oil recovery significantly from this unconventional oil and gas source. One of the most studied EOR methods in shale reservoirs is gas injection, with a focus on carbon Dioxide (CO₂) mainly due to the ability to both enhance oil recovery and store the CO₂ in the formation. Even though several shale plays have reported an increase in oil recovery using CO₂ injection, in some cases this method failed severely. This research attempts to investigate the ability of the CO₂ to mobilize crude …

It Is Not Just About Birds: What Do Acoustic Indices Reveal About A Costa Rican Tropical Rainforest?, Mónica Retamosa Izaguirre, Jimy Barrantes-Madrigal, David Segura Sequeira, Manuel Spínola-Parallada, Oscar Ramírez-Alán

Neotropical Biodiversity

Acoustic monitoring is used to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from large data sets might be exceedingly time consuming. For this reason, acoustic indices have been proposed as proxies for biodiversity monitoring. Although acoustic indices hold great promise for standardizing acoustic data analysis, the complexity of acoustic conditions requires careful examination of the relationship between an index and the underlying process of interest. We evaluated 11 acoustic indices at two operational levels: (1) acoustic community level (an aggregation of species that produces sound), using birds as an example to assess how well acoustic …

Taxonomic Diversity And Ecological Attributes Of Copepods Of The Colombian Caribbean Sea, Edgar Fernando Dorado-Roncancio, Johanna Medellín-Mora, José Ernesto Mancera-Pineda

Neotropical Biodiversity

Seven oceanographic expeditions were carried out between 2013 and 2018 to explore the taxonomic diversity and ecological attributes of copepods of the Caribbean Oceanic Ecoregion (CAO). One hundred and forty zooplankton samples were collected in four depth ranges, between 0 and 1000 m depth. A total of 133 species were identified, 33 of which are new records for the Colombian Caribbean Sea and 50 species have amplified their geographical distribution. This information increasing the list of species of marine copepods recorded for the Colombian Caribbean Sea from 214 to 247 species. Carnivorous species (32.33%) and herbivorous-omnivorous species (27.06%) were the …

An Examination Of The Integration Of Augmented Reality In Science Curriculum, Cathleen A. Bierman

Masters Theses

This study examines students’ success rate and level of engagement in a science classroom by using augmented reality (AR) specifically merge cube. Students’ success rate is measured by their grades, which can determine if the student understands the material. Engagement is measured by observing whether or not the students are asking questions, volunteering information, working well with others, paying attention in class, and participates actively in discussions. The two research questions guided the study:1. Does the use of a merge cube in the science classroom improve participants’ success rate in learning science? and 2. Does using a merge cube increase …

5g Security Challenges And Solutions: A Review By Osi Layers, S. Sullivan, Alessandro Brighente, Sathish Kumar

Electrical and Computer Engineering Faculty Publications

The Fifth Generation of Communication Networks (5G) envisions a broader range of servicescompared to previous generations, supporting an increased number of use cases and applications. Thebroader application domain leads to increase in consumer use and, in turn, increased hacker activity. Dueto this chain of events, strong and efficient security measures are required to create a secure and trustedenvironment for users. In this paper, we provide an objective overview of5G security issues and theexisting and newly proposed technologies designed to secure the5G environment. We categorize securitytechnologies usingOpen Systems Interconnection (OSI)layers and, for each layer, we discuss vulnerabilities,threats, security solutions, challenges, gaps …

Distributing Attorney Fees In Multidistrict Litigation, Edward K. Cheng, Paul H. Edelman, Brian T. Fitzpatrick

Vanderbilt Law School Faculty Publications

As consolidated multidistrict litigation has come to dominate the federal civil docket, the problem of how to divide attorney fees among participating firms has become the source of frequent and protracted litigation. For example, in the National Football League (NFL) Concussion Litigation, the judge awarded the plaintiff attorneys over $100 million in fees, but the division of those fees among the twenty-six firms involved sparked two additional years of litigation. We explore solutions to this fee division problem, drawing insights from the economics, game theory, and industrial organization literatures. Ultimately, we propose a novel division method based on peer reports. …

Antitrust's High-Tech Exceptionalism, Rebecca H. Allensworth

Vanderbilt Law School Faculty Publications

American competition policy has four big problems: Amazon, Apple, Facebook, and Google. These companies each reign over a sector of the digital marketplace, controlling both the consumer experience and the possibility of competitive entry. This Essay argues that the conventional account of how antitrust law allowed this consolidation of market power - that it failed to evolve to address the market realities of the technology sector-is incomplete. Not only did courts fail to adapt antitrust law from its smoke-stack roots, but they gave big tech special dispensation under traditional antitrust doctrine. Swayed by prevailing utopic views about digital markets in …

Personalized Learning: Tools For A Covid World, Karen Clancy, Whitney Powell

Pedagogicon Conference Proceedings

Advancing technology allows us to personalize everyday life, from shopping and business transactions to information-seeking, healthcare, and education. Contemporary college students often seek personalized learning experiences that yield high-impact outcomes. Such experiences require successful partnerships between faculty and students. Case studies demonstrating how faculty/student partnerships helped students accomplish personalized learning outcomes are presented. The focus on personalized learning is even more pertinent in the midst of the COVID-19 global pandemic. The increased reliance on virtual learning and independent study may encourage and challenge educators to implement personalized learning methods to maximize learning outcomes and elevate student engagement.

Lessons Learned In Designing Active Learning Modules For The Stem Classroom, Anna M. Christianson

Pedagogicon Conference Proceedings

For students to become real partners in their education, they must shift from a model of passive absorption of knowledge to one of active participation in constructing knowledge. To encourage this shift, I have designed a variety of active learning modules for my introductory chemistry classes, from short participation polls to full-length case studies. When well-implemented, in-class activities can be a valuable experience for students to practice applying their knowledge with instructor guidance. In this report, I will share both successes and challenges encountered in designing student-friendly active learning modules in an introductory science course.

Teaching Personal Selling Strategies And Tactics With Popular Culture Examples: An Active Learning In-Class Group Activity, Philip J. Boutin Jr.

Pedagogicon Conference Proceedings

An original in-class activity to enhance students’ understanding of personal selling strategies and tactics was developed that was informed by multiple teaching and learning theories and techniques from the extant literature, including: active learning (e.g., Bonwell & Eison, 1991); social learning theory (e.g., Bandura, 1971); cooperative learning (e.g., Li & Lam, 2013); constructivism (e.g., Learning-Theories.com, 2015); social constructivism (e.g., Creswell, 2014; Vygotsky, 1978); and educational entertainment or edutainment (Rapeepisarn et al., 2006). For the activity, student groups select and analyze three scenes in movies or television shows in which characters use personal selling activities in an attempt to close a …

Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments along with containerization technology and notebooks for capturing reproducible computational studies, and Application Programming Interfaces (APIs) for simulation models to foster intuitive programmatic control. The objective of this research is to show how these efforts can be integrated to support reproducible environmental modeling. We present first the high-level concept and general approach for integrating these three components. We then present one possible implementation that integrates HydroShare (an online …

Biom 3710: Physiological Systems And Modeling (Syllabus), Aaryani Sajja

Biomedical Engineering Syllabi Archive

Course Description: Fundamentals of control theory and mathematical modeling and analysis as applied to physiological systems.

Engr 1010: Engineering Problem Solving (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Introduction to the methods of engineering problem solving. Application of mathematical concepts to solve engineering problems.

The False Dichotomy Of Corporate Governance Platitudes, Jeffrey M. Lipshaw

Suffolk University Law School Faculty Works

In 2019, the Business Roundtable amended its principles of corporate governance, deleting references to the primary purpose of the corporation being to serve the shareholders. In doing so, it renewed the “shareholder vs. stakeholder” debate among academic theorists and politicians. The thesis here is that the zero-sum positions of the contending positions are a false dichotomy, failing to capture the complexity of the corporate management game as it is actually played. Sweeping and absolutist statements of the primary purpose of the corporation are based on arid thought experiments and idiosyncratic cases in which corporate leaders have managed to be either …

An Empirical Examination Of The Computer Security Behaviors Of Telecommuters Working With Confidential Data Through Leveraging The Factors From Fear Appeals Model (Fam), Titus Dohnfon Fofung

CCAC Theses and Dissertations

Computer users’ security compliance behaviors can be better understood by devising an experimental study to examine how fear appeals might impact users’ security behavior. Telecommuter security behavior has become very relevant in information systems (IS) research with the growing number of individuals working from home. The increasing dependence on telecommuting to enhance the viability and convenience has created an urgency with the advent of the COVID-19 pandemic to examine the behavior of users working at home across a corporate network. The home networks are usually not as secure as those in corporate settings. There is seldom a firewall setting and …

Impact Of Image Segmentation Techniques On Celiac Disease Classification Usingscale Invariant Texture Descriptors For Standard Flexible Endoscopic Systems, Manarbek Saken, Munkhtsetseg Banzragch Yağci, Nejat Yumuşak

Turkish Journal of Electrical Engineering and Computer Sciences

Celiac disease (CD) is quite common and is a proximal small bowel disease that develops as a permanentintolerance to gluten and other cereal proteins in cereals. It is considered as one of the most di?icult diseases to diagnose.Histopathological evidence of small bowel biopsies taken during endoscopy remains the gold standard for diagnosis.Therefore, computer-aided detection (CAD) systems in endoscopy are a newly emerging technology to enhance thediagnostic accuracy of the disease and to save time and manpower. For this reason, a hybrid machine learning methodshave been applied for the CAD of celiac disease. Firstly, a context-based optimal multilevel thresholding technique wasemployed …

Ensemble Learning Of Multiview Cnn Models For Survival Time Prediction Of Braintumor Patients Using Multimodal Mri Scans, Abdela Ahmed Mossa, Ulus Çevi̇k

Turkish Journal of Electrical Engineering and Computer Sciences

Brain tumors have been one of the most common life-threatening diseases for all mankind. There have beenhuge efforts dedicated to the development of medical imaging techniques and radiomics to diagnose tumor patients quicklyand e?iciently. One of the main aims is to ensure that preoperative overall survival time (OS) prediction is accurate.Recently, deep learning (DL) algorithms, and particularly convolutional neural networks (CNNs) achieved promisingperformances in almost all computer vision fields. CNNs demand large training datasets and high computational costs.However, curating large annotated medical datasets are difficult and resource-intensive. The performances of singlelearners are also unsatisfactory for small datasets. Thus, this study …

Automated Classification Of Bi-Rads In Textual Mammography Reports, Mostafa Boroumandzadeh, Elham Parvinnia

Turkish Journal of Electrical Engineering and Computer Sciences

The main purpose of this paper is to process key information in medical text records and also classifypatients, per different levels of breast imaging-reporting and data system (BI-RADS). The BI-RADS is a scheme for thestandardization of breast imaging reports. Therefore, medical text mining is employed to classify mammography reportssupported BI-RADS. In this research, a new method is proposed for automated BI-RADS classifications extraction fromtextual reports and improves the therapeutic procedures. At first, a mammography lexicon is employed for choosingkeywords from medical text reports. Word2vec and term frequency inverse document frequency (TFIDF) techniques areused for extracting features, finally, they are combined …

Improvements Of Torque Ripple Reduction In Dtc Im Drive Witharbitrary Number Of Voltage Intensities And Automatic Algorithm Modification, Marko Rosic, Sanja Antic, Milan Bebic

Turkish Journal of Electrical Engineering and Computer Sciences

Techniques of direct torque control (DTC) are very common in high-performance electric motor drives.Retaining the good features of the conventional DTC and reducing torque ripple have been the subject of many years ofresearch work on improving these algorithms. This paper presents the DTC algorithm with discretized voltage vectorsbased on the use of conventional switching table (ST-DTC). This algorithm enables a significant torque ripple reductionby defining the corresponding number of the given voltage intensity while retaining calculation simplicity and fast torqueresponse typical of the ST-DTC algorithms. The proposed algorithm has the ability for its automatic modificationdepending on the defined number of …