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End-To-End Learning For A Low-Cost Robotics Arm, Abhishek Chothani

Theses and Dissertations

Robotic manipulation is a cornerstone of automation, with the ultimate goal of developing versatile systems capable of executing a wide range of real-world tasks autonomously. Traditional robotics approaches, while reliable and widely adopted in industrial settings, often struggle with adaptability, perception, and dynamic task execution. This thesis explores the evolution from classical robotics techniques to modern learning-based approaches, leveraging advancements in artificial intelligence to overcome these limitations.

Initially, the thesis presents a pick-and-place pipeline built using the Drake robotics framework and the KUKA iiwa robotic arm. This system employs a pseudoinverse controller for inverse kinematics to perform structured tasks like …

Fabrication And Performance Of Scalable Bio-Engineered Porous Layers For Efficient Co2 Capture, Mary Sharon Rose Bondugula

Theses and Dissertations

This dissertation addresses the critical challenge of mitigating climate change by advancing CO2 capture technologies. As global CO2 emissions continue to rise, effective methods for capturing and separating CO2 from industrial processes are essential to combat climate change. Existing CO2 capture systems, such as Pressure Swing Adsorption (PSA) and Temperature Swing Adsorption (TSA), often rely on packed bed designs that face limitations, including poor heat and mass transfer, slow gas diffusion, and low thermal conductivity, reducing their efficiency. To overcome these challenges, this dissertation explores innovative solutions by developing advanced adsorbent coatings and scalable bed configurations.

This research begins by …

The Lasting Psychological Effects Of Juvenile Arrests, Nadia Olivia Bortolin

Theses and Dissertations

This research investigated the enduring psychological consequences, specifically depression and anxiety, stemming from juvenile arrests and their influence on adulthood. Literature has demonstrated impacts on juvenile arrests from cultural, socioeconomic, family dynamics, and environmental elements. This study addresses a notable gap in understanding the long-term impact on mental health and employment. Research indicates a sensitivity to outcomes based on the age of arrest, with early adolescent arrests having profound effects on development and an increased likelihood of subsequent criminal activities. Developmental and risk factors, such as socioeconomic challenges and pubescent difficulties, contribute to persistent delinquent behaviors into adulthood. Some studies …

Malicious Compliance: Examining Revenge Behaviors In Organizations, Patricia Jewel Emily Morrison

Theses and Dissertations

Revenge is a multifaceted behavior that manifests in various forms. The purpose of this dissertation was to examine a particular form of revenge known as malicious compliance, which has yet to be sufficiently researched. A two-study approach was used to examine malicious compliance. In the first study, qualitative data was collected from an online forum for sharing malicious compliance experiences. In the second study, 352 participants completed a mixed-methods survey online. Data from both studies was analyzed in RStudio and MAXQDA. Study 1 utilized unsupervised machine learning techniques, non-machine learning techniques, and thematic coding techniques to analyze the forum dataset. …

Loss Of Control In General Aviation: An Investigation Into The Mooney M20 And The Full Trimming Tail Design, Trenton Neil Wright

Theses and Dissertations

Loss of Control (LOC) in General Aviation (GA) remains one of the leading causes of aviation accidents, with 94% of all accidents in 2022 occurring in this sector, and 42% attributed directly to LOC [2][3]. This thesis focuses on the Full Trimming Tail (FTT) in Mooney aircraft, hypothesizing that the FTT design significantly increases the likelihood of LOC, particularly during go-arounds and touch-and-go landings. Prior studies have shown that certain trim systems can amplify pitch-up moments following rapid configuration changes, leading to stalls or LOC if not adequately managed by the pilot [23][24][25].

This research utilized a combination of logistic …

The Design And Implementation Of A Modular Tissue Engineering Test Bed To Pursue An Alternate Pathway Of Cell Culture Based Research, Ryley Patrick Griffin

Theses and Dissertations

The development of a Modular Automated Tissue Engineering Test Bed (MATETB) is the next step in the development of cheap and easily available in vitro cell regulatory systems for both academic and industrial purposes. This project outlined the framework and requirements for a device that could automatically regulate and collect data on a cell culture through the manipulation of its liquid environment. From this framework, a prototype was built. The device would fulfill cell culture needs while collecting data automatically and allowing for live viewing and imaging of cells. The device was comprised of a mechanical skeleton (MS), an environmental …

The Provision Of Healthcare For Older Adults In A Massachusetts Jail/House Of Correction: Perspectives From Providers, Laura Driscoll

Graduate Doctoral Dissertations

THE PROVISION OF HEALTHCARE FOR OLDER ADULTS IN A MASSACHUSETTS JAIL/HOUSE OF CORRECTION: PERSPECTIVES FROM PROVIDERS November 2024 Laura C. Driscoll, B.S., Boston University M.S.P.T., Boston University DPT, MGH Institute of Health Professions M.S., University of Massachusetts Boston Ph.D., University of Massachusetts Boston Directed by Professor Jan Mutchler The aging population in U.S. jails is growing rapidly presenting significant challenges for healthcare provision within carceral settings. Older adults in these facilities often experience complex health conditions, including chronic diseases and age-related impairments, that require specialized care. Despite this, limited research has explored the experiences of healthcare providers tasked with caring …

Introducing A Practitioner's Framework For Mobilizing Collective Action, Matthew Paul Bond

Graduate Doctoral Dissertations

INTRODUCING A PRACTITIONER’S FRAMEWORK FOR MOBILIZING COLLECTIVE ACTION December, 2024 Matthew P. Bond, B.A. University of North Carolina Greensboro, M.S., University of Massachusetts Boston, M.P.A., Suffolk University, Ph.D., University of Massachusetts Boston Directed by Christian Weller Social dilemmas are situations in which individual and collective incentives are at odds, leading to suboptimal collective outcomes that make all individuals worse off. Modeling policy problems stuck in stasis as social dilemmas reveals new solution pathways that promise progressive change. The solution to a social dilemma is collective action, yet since the introduction of the collective action problem in the 1960’s, a solution …

Size Matters: The Characterization Of Telomere Function In Germ Cell Development In Danio Rerio, Jessica Macneil

Graduate Doctoral Dissertations

Infertility is a growing problem worldwide. According to the WHO, 48 million couples across the globe suffer from infertility and many couples turn to Assisted Reproductive Technology (ART) to become pregnant. One readout of gamete quality and successful ART is telomere integrity because telomeres are necessary for chromosome movements during meiosis so that the segregation of chromosomes happens correctly. Telomeres are well known for their role in aging; however, they play an important and understudied role during meiosis. In meiosis, telomeres attach to the nuclear envelope (NE) via a protein chain spanning the NE that interacts with cytoplasmic motor proteins, …

Three Decades Of Rat Genomics: Approaching The Finish(Ed) Line, Theodore S Kalbfleisch, Melissa L Smith, Julia L Ciosek, Kai Li, Peter A Doris

The Brown Foundation: Institute of Molecular Medicine

The rat, Rattus norvegicus, has provided an important model for investigation of a range of characteristics of biomedical importance. Here we survey the origins of this species, its introduction into laboratory research, and the emergence of genetic and genomic methods that utilize this model organism. Genomic studies have yielded important progress and provided new insight into several biologically important traits. However, some studies have been impeded by the lack of a complete and accurate reference genome for this species. New sequencing and genome assembly methods applied to the rat have resulted in a new reference genome assembly, GRCr8, which …

Anxiety-Like Behaviors In Mice Unmasked: Revealing Sex Differences In Anxiety Using A Novel Light-Heat Conflict Test, Sydney E Lee, Sung-Hoon Park, John C Aldrich, Laura K Fonken, Andrew D Gaudet

The Brown Foundation: Institute of Molecular Medicine

Anxiety and chronic pain afflict hundreds of millions worldwide. Anxiety and pain are more prevalent in females compared to males. Unfortunately, robust sex differences in human anxiety are not recapitulated in rodent tests, and results from rodent pain studies frequently fail to translate clinically. Therefore, there is a need to develop tests that reflect the differential salience of anxiety or pain-related stimuli between the sexes. Accordingly, here we introduce the Thermal Increments Dark-Light (TIDAL) conflict test. The TIDAL test places an anxiety-relevant stimulus (dark vs. illuminated chamber) in conflict with a heat-related stimulus (incrementally heated vs. isothermic chamber); mice freely …

An Update On Novel Taxa And Revised Taxonomic Status Of Bacteria Isolated From Domestic Companion And Agricultural Animals Described In 2023, Sara D. Lawhon, Claire R. Burbick, Trinity Kreuger, Elena Ruiz-Reyes, Erik Munson

Clinical Lab Sciences Faculty Research and Publications

With the proliferation of abundant bacterial genomic data comes the recognition of new organisms as well as a better understanding of the relatedness of known bacteria. Recognizing the associated taxonomic changes enhances communication and understanding about the significance of novel organisms and deeper understanding of known pathogens. This review addresses the addition of multiple gastrointestinal bacteria that form the normal microbiota in a variety of animals including honeybees as well as novel bacteria from domestic animals including an alpha-hemolytic Streptococcus species from guinea pigs, two Moraxella spp. from cows and goats, a new Capnocytophaga species from cats, a thermophilic Campylobacter …

Classifying Supersonic Frequencies For Active Acoustic Side-Channel Exploitation, Destin Hinkel

Graduate Theses and Dissertations (2019 - present)

Computing side-channel research explores the manner in which physical emanations from systems can be used to reconstruct data. Acoustic side-channels are those physical emanations that produce a sonic frequency that is subsonic, supersonic, or considered in the range of human hearing [1]. Acoustic side-channel attacks (SCAs) are typically performed passively: a listening device captures aural frequencies from a machine via a microphone that are transmitted to the attacker for analysis [1]–[3]. Machine learning models have been presented to classify individual keystrokes according to variations in acoustic frequency [4]. Furthermore, the SonarSnoop framework presents a novel active approach that involves both …

Hybrid Deep Learning-Based Model For Eclipse Attack Detection On Ethereum Network, Dhanasak Bhumichai

Graduate Theses and Dissertations (2019 - present)

An eclipse attack is a significant cyber threat targeting the network layer of blockchain platforms. Detecting eclipse attacks is challenging for several reasons. First, there are no available datasets for training and testing models. Second, comprehensive studies identifying features to detect eclipse attacks are lacking. Additionally, the amount of eclipse network traffic is much smaller than that of normal network traffic, which leads to imbalanced samples. Moreover, the characteristics of eclipse network traffic closely resemble those of normal traffic, causing overlapping samples, which makes it challenging for traditional classifiers to learn how to identify eclipse attacks. To address these challenges, …

Three-Dimensional Environmentally Sustainable Neuromorphic Computing System Based On Natural Organic Memristor, Mohammed Rafeeq Khan

Graduate Theses and Dissertations (2019 - present)

A three-dimensional neuromorphic (3D) computing architecture based on environmentally sustainable natural organic honey memristors is proposed in this thesis. A set of comprehensive and experimental results indicate that the proposed systems exhibit remarkable inference accuracy, consistently surpassing the 90% threshold, even with different challenges such as device variations and nonlinearity. This study also considers four different conductance drift situations, the effects of analog-to-digital converter (ADC) quantization, and multiple algorithms, such as VGG8 and DenseNet-40. The deliverable of this thesis will test the stability of the proposed systems and explore their potential applications and scalability in real-world situations.

Bivariate Genome-Wide Association Study Of Circulating Fibrinogen And C-Reactive Protein Levels, Julie Hahn, Gerard Temprano-Sagrera, Natalie R Hasbani, Symen Ligthart, Abbas Dehghan, Alisa S Wolberg, Nicholas L Smith, Maria Sabater-Lleal, Alanna C Morrison, Paul S De Vries

Faculty, Staff and Student Publications

Background: Fibrinogen and C-reactive protein (CRP) play an important role in inflammatory pathways and share multiple genetic loci reported in previously published genome-wide association studies (GWAS), highlighting their common genetic background. Leveraging the shared biology may identify further loci pleiotropically associated with both fibrinogen and CRP.

Objectives: To identify novel genetic variants that are pleiotropic and associated with both fibrinogen and CRP, by integrating both phenotypes in a bivariate GWAS by using a multitrait GWAS.

Methods: We performed a bivariate GWAS to identify further pleiotropic genetic loci, using summary statistics of previously published GWAS on fibrinogen (n = 120 246) …

Identification Of Proteins Associated With Type 2 Diabetes Risk In Diverse Racial And Ethnic Populations, Shuai Liu, Jingjing Zhu, Hua Zhong, Chong Wu, Haoran Xue, Burcu F Darst, Xiuqing Guo, Peter Durda, Russell P Tracy, Yongmei Liu, W Craig Johnson, Kent D Taylor, Ani W Manichaikul, Mark O Goodarzi, Robert E Gerszten, Clary B Clish, Yii-Der Ida Chen, Heather Highland, Christopher A Haiman, Christopher R Gignoux, Leslie Lange, David V Conti, Laura M Raffield, Lynne Wilkens, Loïc Le Marchand, Kari E North, Kristin L Young, Ruth J Loos, Steve Buyske, Tara Matise, Ulrike Peters, Charles Kooperberg, Alexander P Reiner, Bing Yu, Eric Boerwinkle, Quan Sun, Mary R Rooney, Justin B Echouffo-Tcheugui, Martha L Daviglus, Qibin Qi, Nicholas Mancuso, Changwei Li, Youping Deng, Alisa Manning, James B Meigs, Stephen S Rich, Jerome I Rotter, Lang Wu

Faculty, Staff and Student Publications

Aims/hypothesis: Several studies have reported associations between specific proteins and type 2 diabetes risk in European populations. To better understand the role played by proteins in type 2 diabetes aetiology across diverse populations, we conducted a large proteome-wide association study using genetic instruments across four racial and ethnic groups: African; Asian; Hispanic/Latino; and European.

Methods: Genome and plasma proteome data from the Multi-Ethnic Study of Atherosclerosis (MESA) study involving 182 African, 69 Asian, 284 Hispanic/Latino and 409 European individuals residing in the USA were used to establish protein prediction models by using potentially associated cis- and trans-SNPs. The models were …

Association Of Common And Rare Variants With Alzheimer’S Disease In More Than 13,000 Diverse Individuals With Whole-Genome Sequencing From The Alzheimer’S Disease Sequencing Project, Wan-Ping Lee, Seung Hoan Choi, Margaret G Shea, Po-Liang Cheng, Beth A Dombroski, Achilleas N Pitsillides, Nancy L Heard-Costa, Hui Wang, Katia Bulekova, Amanda B Kuzma, Yuk Yee Leung, John J Farrell, Honghuang Lin, Brian W Kunkle, Adam Naj, Elizabeth E Blue, Frederick Nusetor, Dongyu Wang, Eric Boerwinkle, William S Bush, Xiaoling Zhang, Philip L De Jager, Josée Dupuis, Lindsay A Farrer, Myriam Fornage, Eden Martin, Margaret Pericak-Vance, Sudha Seshadri, Ellen M Wijsman, Li-San Wang, Alzheimer's Disease Sequencing Project;, Gerard D Schellenberg, Anita L Destefano, Jonathan L Haines, Gina M Peloso

Faculty, Staff and Student Publications

INTRODUCTION: Alzheimer's disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous.

METHODS: We investigated the association of AD with both common variants and aggregates of rare coding and non-coding variants in 13,371 individuals of diverse ancestry with whole genome sequencing (WGS) data.

RESULTS: Pooled-population analyses of all individuals identified genetic variants at apolipoprotein E (APOE) and BIN1 associated with AD (p < 5 × 10

DISCUSSION: We observed that complementary pooled-population and subgroup-specific analyses offered unique insights into the genetic architecture of AD.

HIGHLIGHTS: We determine the association of genetic variants with Alzheimer's disease (AD) using …

U.S. Supreme Court Argument In U.S. V. Skrmetti Does Not Generate Optimism For Reversal Of The 6th Circuit, Arthur S. Leonard

Other Publications

No abstract provided.

Incarcerated Persons Litigation | Notes, Arthur S. Leonard

Other Publications

No abstract provided.

Civil Litigation | Notes, Arthur S. Leonard

Other Publications

No abstract provided.

Analysis And Optimization Of Machine Learning Models For Network Intrusion Detection, Willie Lee Waters

All Dissertations

Network intrusion detection NID) is a technology that monitors network traffic and identifies abnormal activity. The ability to identify malicious activity can be manifested by application of artificial intelligence and machine learning (ML). This research delved into analysis, development, and optimization of supervised, unsupervised, and reinforcement learning approaches to network anomaly detection. In the past 10 years, there has been a substantial amount of research on supervised learning, a type of ML that is trained from a prelabeled network dataset that tags each sample with benign or abnormal labels. Unsupervised and reinforcement learning research has been minimal.

This study evaluated …

Selected Projects In Scenic And Props Design, Melanie E. Valera Garcia

All Graduate Reports and Creative Projects, Fall 2023 to Present

This plan B paper is a compilation of four projects in which I had the opportunity to participate during my years in the master's program, four scenic projects and one on properties. The paper is divided into four chapters: Pinocchio Teatrale, The Boy at the Edge of Everything, Driving Miss Daisy and Ms. Holmes and Ms. Watson Apt 2B. Each chapter has an introduction, a synopsis of the play, a descriptive design process, the execution of its design and a final evaluation.

Mechanical Stability Of Body-Centered Cubic Iron At Earth's Core Pressure And Temperature Conditions Using A Molecular Graph Kernel Regression And Gaussian Process., Blaise Awola Ayirizia

Open Access Theses & Dissertations

We used machine learning to study nonmagnetic BCC iron in conditions similar to thosefound in the Earthâ??s core. Our model predicts the stability of BCC iron at high temperatures and pressures by analyzing a dataset from ab initio molecular dynamics simulations. The framework uses Gaussian process regression to make predictions by comparing the similarity between molecules. This comparison is made using the marginalized graph kernel. To use the marginalized graph kernel, the framework applies a spatial adjacency rule to convert molecules into graphs, where the vertices and edges are labeled by elements and interatomic distances, respectively. We can use this …

Integrating Responsible And Ethical Conduct Of Research Into Cures: A Longitudinal Study Observing Professional Development Of Fellows Within The Ethics Network For Course-Based Opportunities In Undergraduate Research, Aimee Angelica Hernandez-Gaytan

Open Access Theses & Dissertations

No abstract provided.

What You Must Know: Retention And Destruction Of Dental Records And Your Most-Asked Questions About Dental Records, Daniel Schulte Jd

The Journal of the Michigan Dental Association

An overview of the basic information about dental records, including retention and destruction, that you and your staff should be aware of, provided by MDA Legal Counsel Dan Schulte, J.D. Plus, for your reference, answers to the questions Michigan dental offices are asking about dental record retention, access, release, and destruction.

Dental records are vital for patient care, legal compliance, and professional practice management. Michigan law mandates retaining dental records for a minimum of 10 years, ensuring their confidentiality, accessibility, and integrity. Destruction of records less than 10 years old requires patient notification and authorization, while those over 10 years …

Enhancing The Utility Of Unmanned Autonomous Vehicles (Uavs) With Model-Based Systems Engineering (Mbse) And Modular Open Systems Approach (Mosa), Aimee Barraza

Open Access Theses & Dissertations

Unmanned Autonomous Vehicles (UAVs) have emerged as versatile tools with significant implications across various industries, particularly in defense. The technological advancements in UAVs have revolutionized military operations, surveillance, and reconnaissance capabilities. However, there exist challenges such as environmental factors affecting sensor and flight performance, limited battery life restricting flight durations, and payload capacity constraints impeding task efficiency.This paper delves into the importance of UAVs in different industries, specifically focusing on their pivotal role in the Department of Defense. It emphasizes the necessity of technological upgrades to overcome current challenges and proposes the adoption of a Modular and Open System Approach …

Redefining Approaches For Measuring Landscape Subsidence And Permafrost Degradation In Arctic Tundra Environments, Tabatha Lynn Fuson

Open Access Theses & Dissertations

As climate change accelerates in the Arctic, the degradation of permafrost is leading to significant landscape transformation in tundra landscapes. This dissertation investigates the multifaceted responses of permafrost systems to warming, focusing on the dynamics of surface elevation changes and active layer thickness (ALT) across the North Slope of Alaska. In this study, I explore the capacity of repeat Terrestrial Laser Scanning (TLS) technology for modeling tundra features and detecting surface subsidence, specifically how different climate and landscape conditions during scanning impact TLS model precision. We also compare TLS model precision estimates to TLS model accuracy by comparing elevation values …

General Purpose Gpu Benchmarks For Neural Networks, Jose Maria Granados

Open Access Theses & Dissertations

Neural networks are a field of computing experiencing a rise in popularity in recent years due to the utilization of graphics processing units as their computational centerpiece. The lack of neural network benchmarks for the open-source Nyuzi architecture, a developing general-purpose processor with graphical processing capabilities, is the focus of this thesis. This work aims to determine whether Nyuziâ??s performance counters and traceable events suffice for performance tuning of neural network implementations. Given the mathematical intensity of neural networks, a strong emphasis is placed on events related to arithmetic instructions. Experimenting with neural network implementations in C and C++, existent …

A New Normal: Testing Cumulative Prospect Theory In Defendant Plea Decision-Making, Grace Hanzelin

Open Access Theses & Dissertations

Plea-bargaining is a common and necessary part of the American criminal justice system and though psycholegal scholars have made great advancements in our understanding of defendant plea behavior, the field generalcy lacks a sufficient theoretical model of plea-bargain decision-making. Across two experiments, this dissertation empirically tests Cumulative Prospect Theory (CPT; Tversky & Kahneman, 1992) as a potential model of defendant plea decisions. In Experiment 1, participants completed two risk aversion tasks, one economic and one adapted into a plea domain, to assess the presence of loss aversion and risk aversion in both domains. Findings suggest that, in a plea context, …