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Academic Supply And Occupational Demand Report 2021, Tennessee. Higher Education Commission.

Academic Programs and Workforce Reports

No abstract provided.

Beginnings, Elizabeth Becker

Dance (MFA) Theses

Researcher Elizabeth Becker uses personal experiences of pregnancy alongside scholarly research on the developmental movement patterns of the human embryo, fetus, and newborn’s first year of life to explore the multiplicity of these movement patterns within and outside the womb. Becker explores the relationship between the fertilization, germinal, embryonic, and fetal stages in relation to a newborn and its mother. These movement patterns within the beginning stages of life are valuable to research because they simulate neurodevelopmental patterns, which help wire the central nervous system in early childhood. These movements also help lay the foundation for sensory-motor development and life-long …

Inverse Boundary Value Problems For Polyharmonic Operators With Non-Smooth Coefficients, Landon Gauthier

Theses and Dissertations--Mathematics

We consider inverse boundary problems for polyharmonic operators and in particular, the problem of recovering the coefficients of terms up to order one. The main interest of our result is that it further relaxes the regularity required to establish uniqueness. The proof relies on an averaging technique introduced by Haberman and Tataru for the study of an inverse boundary value problem for a second order operator.

An Integrated Computational Pipeline To Construct Patient-Specific Cancer Models, Daniel Plaugher

Theses and Dissertations--Mathematics

Precision oncology largely involves tumor genomics to guide therapy protocols. Yet, it is well known that many commonly mutated genes cannot be easily targeted. Even when genes can be targeted, resistance to therapy is quite common. A rising field with promising results is that of mathematical biology, where in silico models are often used for the discovery of general principles and novel hypotheses that can guide the development of new treatments. A major goal is that eventually in silico models will accurately predict clinically relevant endpoints and find optimal control interventions to stop (or reverse) disease progression. Thus, it is …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

On An Econophysics Model, Miron Kaufman

Turkish Journal of Physics

Krugman has proposed a continuous in time and space model for the emergence of polycentric urban areas in the regional space. By using a discrete version of this model on spatial networks, we predicted the distribution of jobs among the different localities inside a couple of economic regions in Ohio and Texas. The time evolution of the distribution of jobs is governed by a market potential. Employment gradually moves towards locations considered relatively attractive if their market potential is above the spatial average. Similarly, jobs move away from locations with below-average market potential. First, I will show that the market …

Dynamic Multicritical Phase Diagrams Of The Mixed Spin (2, 5/2) Blume-Emery-Griffiths Model With Repulsive Biquadratic Coupling, Mustafa Gençaslan, Mustafa Keski̇n

Turkish Journal of Physics

We investigated the dynamic phase transitions (DPTs) in the mixed spin (2, 5/2) Blume-Emery Griffiths model with repulsive biquadratic interaction in the presence of a time-varying magnetic field. We used the path probability method to obtain the set of the dynamic equations. We numerically solved these dynamic equations to characterize the nature of first- and second-order phase transitions and to find the DPT temperatures as well as obtain the phases in the system. We constructed the dynamic phase diagrams (DPDs) in reduced temperature and amplitude of oscillating magnetic field plane. We observed that the DPDs display richer, complex and more …

The Case For Alternate Media Requirement Expressions In Systems Engineering, Jason Kolligs

Dissertations

“Requirements” are often presented as a necessary, if not mandated, component or tool of the systems engineering process. Despite their place in engineering, low quality requirements are the first potential mistakes of an engineering project and their effects are potentially felt downstream in the form of increased costs and schedule overruns. Innovations to improve requirements engineering have historically omitted the requirement media. This research provides the rationale and process heuristics to include alternate media requirement expressions within systems engineering which shifts accountability to higher context requirement expressions that may require less cognitive load while decreasing effort and schedule thereby potentially …

Finding The Right Angle: Lessons From Mathematics For The Legal Writing Classroom, Maria Termini

Faculty Scholarship

No abstract provided.

Whole File Chunk Based Deduplication Using Reinforcement Learning, Xincheng Yuan

Master's Projects

Deduplication is the process of removing replicated data content from storage facilities like online databases, cloud datastore, local file systems, etc., which is commonly performed as part of data preprocessing to eliminate redundant data that requires unnecessary storage spaces and computing power. Deduplication is even more specifically essential for file backup systems since duplicated files will presumably consume more storage space, especially with a short backup period like daily [8]. A common technique in this field involves splitting files into chunks whose hashes can be compared using data structures or techniques like clustering. In this project we explore the possibility …

Darknet Traffic Classification, Nhien Rust-Nguyen

Master's Projects

The anonymous nature of darknets is commonly exploited for illegal activities. Previous research has employed machine learning and deep learning techniques to automate the detection of darknet traffic to block these criminal activities. This research aims to improve darknet traffic detection by assessing Support Vector Machines (SVM), Random Forest (RF), Convolutional Neural Networks (CNN) and Auxiliary-Classifier Generative Adversarial Networks (AC-GAN) for classification of network traffic and the underlying application types. We find that our RF model outperforms the state-of-the-art machine learning techniques used by prior work with the CIC-Darknet2020 dataset. To evaluate the robustness of our RF classifier, we degrade …

Improving User Experiences For Wiki Systems, Parth Patel

Master's Projects

Wiki systems are web applications that allow users to collaboratively manage the content. Such systems enable users to read and write information in the form of web pages and share media items like videos, audios, books etc. Yioop is an open-source web portal with features of a search engine, a wiki system and discussion groups. In this project I have enhanced Yioop’s features for improving the user experiences. The preliminary work introduced new features like emoji picker tool for direct messaging system, unit testing framework for automating the UI testing of Yioop and redeeming advertisement credits back into real money. …

Coastal Waccamaw Stormwater: Education Consortium, Kove Lambert

Goal 1: No Poverty

No abstract provided.

The Golden Age Of The Economics Of Bureaucracy, Chang-Yeh (Michael) Wu

Theses

The economics of bureaucracy (EOB) is a field of research that emerged from the public choice movement in the mid-1960s through to the early 1970s. It entailed applying traditional economic theories and modelling techniques to study decision-making in non-market hierarchies that are often referred to as bureaucracies. The field was pioneered and codified by Gordon Tullock, Anthony Downs, and William Niskanen in what may be called the ‘golden age’ of EOB. Establishing EOB as a bona fide research domain was a challenging intellectual enterprise due to the absence of a pre-existing conceptual framework to readily model bureaucracies within the economics …

A Simulation Of The Economic Impact Of Disaster Events, Richie Pajak

Senior Independent Study Theses

No abstract provided.

Explainable Data-Driven Motor Condition Monitoring And Fault Disgnosis, Yuming Wang

Theses and Dissertations--Electrical and Computer Engineering

Industrial motors are widely used in various fields such as power generation, mining, and manufacturing. Motor faults and time-consuming maintenance process will lead to serious economic losses in this context. To monitor motor faults and detect motor conditions, different types of sensors that can test vibration and current signals are mounted on motors. However, the main challenge was how to use information gained by sensors to analyze or diagnose motor conditions.

Machine learning is a popular technology in recent years, and it's very suitable for crunching and analyzing data. As an important subset of machine learning, deep learning is suitable …

Models And Optimal Controls For Smart Homes And Their Integration Into The Electric Power Grid, Huangjie Gong

Theses and Dissertations--Electrical and Computer Engineering

Smart homes can operate as a distributed energy resource (DER), when equipped with controllable high-efficiency appliances, solar photovoltaic (PV) generators, electric vehicles (EV) and energy storage systems (ESS). The high penetration of such buildings changes the typical electric power load profile, which without appropriate controls, may become a “duck curve” when the surplus PV generation is high, or a “dragon curve” when the EV charging load is high. A smart home may contribute to an optimal solution of such problems through the energy storage capacity, provided by its by battery energy storage system (BESS), heating, ventilation, and air conditioning (HVAC) …

Determining Power System Fault Location Using Neural Network Approach, Edward O. Ojini

Theses and Dissertations--Electrical and Computer Engineering

Fault location remains an extremely pivotal feature of the electric power grid as it ensures efficient operation of the grid and prevents large downtimes during fault occurrences. This will ultimately enhance and increase the reliability of the system. Since the invention of the electric grid, many approaches to fault location have been studied and documented. These approaches are still effective and are implemented in present times, and as the power grid becomes even more broadened with new forms of energy generation, transmission, and distribution technologies, continued study on these methods is necessary. This thesis will focus on adopting the artificial …

Hourly Dispatching Wind-Solar Hybrid Power System With Battery-Supercapacitor Hybrid Energy Storage, Pranoy Kumar Singha Roy

Theses and Dissertations--Electrical and Computer Engineering

This dissertation demonstrates a dispatching scheme of wind-solar hybrid power system (WSHPS) for a specific dispatching horizon for an entire day utilizing a hybrid energy storage system (HESS) configured by batteries and supercapacitors. Here, wind speed and solar irradiance are predicted one hour ahead of time using a multilayer perceptron Artificial Neural Network (ANN), which exhibits satisfactory performance with good convergence mapping between input and target output data. Furthermore, multiple state of charge (SOC) controllers as a function of energy storage system (ESS) SOC are developed to accurately estimate the grid reference power (P_Grid,ref) for each dispatching period. …

Parametric Average-Value Modeling, Simulation, And Characterization Of Machine-Rectifier Systems, Isuje Ojo

Theses and Dissertations--Electrical and Computer Engineering

There are many techniques for modeling and simulation of synchronous machine-rectifier systems. The more common approaches are the detailed and average-value modeling techniques. The detailed simulation technique takes into account the details of the diode switching and is both very accurate and very expensive in terms of computational resources. To alleviate this disadvantage, the average-value modeling technique is often utilized. In this approach, the details of diode switching are neglected or averaged. In that light, the work presented herein proposes a unique saliency-sensitive parametric average-value model (SSPAVM) of the synchronous machine-rectifier system. This model extends existing parametric average-value models to …

Model Of A Biotic Hard Substrate Community: Paleoecology Of Large Trepostome Bryozoans From The Upper Ordovician (Katian) Of The Cincinnati Region, Usa, Kate Runciman

Senior Independent Study Theses

The calcite skeletons of trepostome bryozoan colonies from the Upper Ordovician (Katian) of the Cincinnati region record the diverse interactions and growth responses these colonies experienced. Trepostome specimens from three Cincinnatian strata; the Bellevue Member, the Bull Fork Formation, and the Whitewater Formation, were studied within this project. These three strata were deposited in a shallow epicontinental sea environment that was located in the southern subtropics, approximately 20-23°S at the time of deposition. The focus of this project was the paleoecology of large trepostome bryozoans, which was studied by examining bryozoan growth patterns, trace fossils, and sedimentation. Microscopic examination of …

Emoji Company Gmbh V. The Individuals, Corporations, Limited Liability Companies, Partnerships, And Unincorporated Associations Identified On Schedule A Hereto,, Northern District Of Illinoisq

Historical and Topical Legal Documents

No abstract provided.

Learn Programming In Virtual Reality? A Project For Computer Science Students, Benjamin Alexander

Electronic Theses, Projects, and Dissertations

This paper presents the development of a new learning platform in Virtual Reality to create a more immersive and intuitive learning experience for introduction of programming courses at an intermediate level. This platform is designed to create a central hub for interactive courseware and facilitate distance learning in our post COVID world. Utilizing Virtual Reality, the application teaches specific topics in Computer Science using scripted animations, tutorials, and interactive games. A pilot study was conducted to evaluate the user experience and learning outcomes. Participants of this study reported they were more engaged and motivated in learning programing concepts. We found …

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 …

Natural Resource Management Newsletter, January 2022, Department Of Natural Resource Management

NRM Newsletter

CAFES Awards: Teacher of the Year & Student Club Honorable Mention 2021
NRM Affiliate Professor Receives Fulbright to Norway
Service Awards
Elisha YT Summer Internship
Deva Raj Khanal 2021 ASPT Research Award
Gary Larson Memorial Burr Oak at Dakota Nature Park in Brookings
Oak Lake Field Station Jon Haertel Undergraduate Research Award
Undergraduate Research, Scholarship and Creative Activity Day (URSCAD)
Seven Wokini Challenge Grants Awarded for FY 2022 - Lan Xu
Fire School at Oak Lake Field Station
USDA project to produce wildflower seeds, improve soil health
Pollinators in an Agricultural Context
Welcome new faculty members: Alison, Chris, Amanda & …

Microeconomic Theory, Giri Parameswaran

Economics Faculty Scholarship

This open education textbook is comprised of two parts: Analytical Methods of Economics and Intermediate Microeconomics. Each part supports courses (ECON 201 & ECON 300) in Haverford College's Economics curriculum.

Use of this work governed by a CC BY-NC license.

Land Is Life: Settler Colonial Governance Of National Parks And Hunting In Taiwan, Wei-Chieh Jarita Chen

Environmental Studies Honors Projects

This thesis situates Taiwan as a settler colonial state by examining the discourse around the governance of national parks and the criminalization of Indigenous hunting. Placed in the context of historical patterns of land dispossession and cultural genocide, these two issues represent the ongoing process of settler colonialism and the reproduction of settler colonial relations through environmentalism. I focus on the narratives around three case studies: the controversial and ultimately unsuccessful campaign for the Maqaw National Park, the Tumpu Daingaz buluo’s struggle with the Yushan National Park, and the Tama Talum Indigenous hunting constitutional reinterpretation case. I argue that settler …

Mixed-Effects Regression Models For Analyzing Data With Excess Zeros, Guangyu Xu

Browse all Theses and Dissertations

Data with excess zeros are common in many applications. Failure to account for the extra zeros may lead to biased estimates and misleading inference when analyzing this data type. To investigate the association between a set of predictor variables and an outcome variable with excess zeros, two kinds of regression models, the hurdle model and the zero-inflated model, are commonly used. In these models, the traditional tests, such as the likelihood-ratio test and the Wald test, can only be used to detect the fixed effects in association analysis. Recently, several random-effects or mixed-effects tests have been proposed for association analysis, …

A Spectrophotometric Determination Of Barium Complexation With Methylthymol Blue, Wesley Alexander

Browse all Theses and Dissertations

In this work, a spectrophotometric titration of methylthymol blue (MTB) with barium chloride was performed at pH = 7.5, 9.6, and 12.2 to determine the stoichiometry of complexation between the two as well as formation constants and absorptivity coefficients. Complexes of 1:1, 2:1, and 3:1 Ba:MTB were suggested by the experimental data upon fitting with appropriate models using Beer’s Law. The molar absorptivities of free MTB species at 605 nm were determined to be ����2������4− = 5.0 (± 0.2) x 103 L·mol-1·cm-1, ����������5− = 7.3 (± 0.3) x 103 L·mol-1·cm-1, ��������6− = 1.3 (± 0.2) x 104 L·mol-1·cm-1. At pH …

Estimation Of The Amount Of Active Pharmaceutical Ingredient In Over-The-Counter Available Aspirin Formulations Using Titrimetry, Uv-Visible Spectrophotometry And Raman Spectroscopy, Harismranjeet K. Chahal

Browse all Theses and Dissertations

Counterfeit pharmaceuticals are a serious threat to public safety worldwide. Adverse health effects including resistance to treatment and death have resulted from the consumption of such medicines. Aspirin, which is a non-steroidal anti-inflammatory drug, has been counterfeited in the past due to its increasing demand. Rapid and easy analytical methods are needed to detect these counterfeit medicines and put a halt to the growing number of such incidents. In this study, quantitative estimation of active pharmaceutical ingredient (API) content in different over-the-counter available aspirin tablets was done using titrimetry and UV- Visible spectrophotometry. Qualitative analysis was done using Raman spectroscopy. …