Digital Commons Network^™

Mass Spectrometry Imaging As An Emerging Tool For Studying Metabolism In Human Brain Organoids, Gerarda Cappuccio, Saleh M Khalil, Sivan Osenberg, Feng Li, Mirjana Maletic-Savatic

Faculty, Staff and Students Publications

Human brain organoids are emerging models to study human brain development and pathology as they recapitulate the development and characteristics of major neural cell types, and enable manipulation through an in vitro system. Over the past decade, with the advent of spatial technologies, mass spectrometry imaging (MSI) has become a prominent tool for metabolic microscopy, providing label-free, non-targeted molecular and spatial distribution information of the metabolites within tissue, including lipids. This technology has never been used for studies of brain organoids and here, we set out to develop a standardized protocol for preparation and mass spectrometry imaging of human brain …

Forniceal Deep Brain Stimulation In A Mouse Model Of Rett Syndrome Increases Neurogenesis And Hippocampal Memory Beyond The Treatment Period, Qi Wang, Bin Tang, Shuang Hao, Zhenyu Wu, Tingting Yang, Jianrong Tang

Faculty, Staff and Students Publications

BACKGROUND: Rett syndrome (RTT), caused by mutations in the X-linked gene encoding methyl-CpG binding protein 2 (MeCP2), severely impairs learning and memory. We previously showed that forniceal deep brain stimulation (DBS) stimulates hippocampal neurogenesis with concomitant improvements in hippocampal-dependent learning and memory in a mouse model of RTT.

OBJECTIVES: To determine the duration of DBS benefits; characterize DBS effects on hippocampal neurogenesis; and determine whether DBS influences MECP2 genotype and survival of newborn dentate granular cells (DGCs) in RTT mice.

METHODS: Chronic DBS was delivered through an electrode implanted in the fimbria-fornix. We tested separate cohorts of mice in contextual …

Pmp: Privacy-Aware Matrix Profile Against Sensitive Pattern Inference For Time Series, Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin

Computer Science Faculty Publications

Recent rapid development of sensor technology has allowed massive time series data to be collected and set foundation for the development of data-driven services and applications. During the process, data sharing is often required to allow modelers to perform specific time series data mining tasks based on the need of data owner. The high resolution of time series data brings new challenges in privacy protection, as meaningful information in high-resolution data shifts from concrete point values to shape-based patterns. Numerous research efforts have found that long shape-based patterns could contain more sensitive information and may potentially be extracted and misused …

Image Captioning Using Reinforcement Learning, Venkat Teja Golamaru

Master's Projects

Image captioning is a crucial technology with numerous applications, including enhancing accessibility for the visually impaired, developing automated image indexing and retrieval systems, and enriching social media experiences. However, accurately describing the content of an image in natural language remains a challenge, particularly in low-resource settings where data and computational power are limited. The most advanced image captioning architectures currently use encoder-decoder structures that incorporate a sequential recurrent prediction model. This study adopts a typical Convolutional Neural Network (CNN) encoder Recurrent Neural Network (RNN) decoder structure for image captioning, but it has framed the problem as a sequential decision-making task. …

Enhancing Deep Learning Classifiers For Dynamic Keystroke Authentication Via Gans, Jonathan A. Bazan

Master's Projects

Leveraging machine learning for biometric authentication is an area of research that has seen a lot of progress within the past decade. Keystroke authentication based on machine and deep learning classifiers aims to develop a robust model that can distinguish a user from an adversary based on typing metrics (keystrokes). While keystroke authentication started with static text, where people type the same data, the shift has been to dynamic data where every user’s data varies. Recent literature has shown that with enough data, deep learning classifiers have the capacity to authenticate users with a low Equal Error Rate (EER).

However, …

Bias Detector Tool For Face Datasets Using Image Recognition, Jatin Vamshi Battu

Master's Projects

Computer Vision has been quickly transforming the way we live and work. One of its sub- domains, i.e., Facial Recognition has also been advancing at a rapid pace. However, the development of machine learning models that power these systems has been marred by social biases, which open the door to various societal issues. The objective of this project is to address these issues and ensure that computer vision systems are unbiased and fair to all individuals. To achieve this, we have created a web tool that uses three image classifiers (implemented using CNNs) to classify images into categories based on …

The Effect Of Multi-Material Architecture On The Ex Vivo Osteochondral Integration Of Bioprinted Constructs, Matthew L Bedell, Ziwen Wang, Katie J Hogan, Angelica L Torres, Hannah A Pearce, Letitia K Chim, K Jane Grande-Allen, Antonios G Mikos

Faculty, Staff and Students Publications

Extrusion bioprinted constructs for osteochondral tissue engineering were fabricated to study the effect of multi-material architecture on encapsulated human mesenchymal stem cells’ tissue-specific matrix deposition and integration into an ex vivo porcine osteochondral explant model. Two extrusion fiber architecture groups with differing transition regions and degrees of bone- and cartilage-like bioink mixing were employed. The gradient fiber (G-Fib) architecture group showed an increase in chondral integration over time, 18.5 ± 0.7 kPa on Day 21 compared to 9.6 ± 1.6 kPa on Day 1 for the required peak push-out force, and the segmented fiber (S-Fib) architecture group did not, which …

The Search For Metabolic Variants In Response To Climate Change In The American Pika, Tyler Stewart Trader

Master's Projects

Climate change and rising temperatures pose a serious threat to the long-term survival of American pika (Ochotana princeps), emphasizing the interest in the adaptive capability of the pika. This project queried single nucleotide polymorphisms in a population of American pika in Yosemite National Park using Whole Genome Sequencing data, with a specific interest in metabolic variants. The sample data included temporally separated cohorts, comparing modern population data to historical data taken before rapid anthropogenic climate change. Statistically significant variants were identified under Approximate Bayesian Computation using a population decline model. Although population statistics indicated little change between the …

Identification Of Oral Microbiome With Full-Length 16s Sequencing Using Nanopore Technology, Uyen Hoang

Master's Projects

Human microbiota has a key role in human development and receives considerable attention from research communities. Advances in metagenomics sequencing technologies have significantly improved the capabilities to characterize microbial species associated with human health and disease. Nanopore metagenomics sequencing makes a revolution by detailed characterization of the complex human microbiome. The Nanopore approach resembles traditional genome sequencing but also presents unprecedented challenges. This project will examine the Nanopore approach for oral human microbiome analysis focusing on the 16S rRNA gene collected from the oral cavity of healthy and Mild PKU patients. The findings of this project found that Nanopore sequencing …

Pet Loss And Grieving Strategies: A Systematic Review Of Literature, Ruth E. Cervantes

Master's Projects

The impact that companion animals have on human lives has been explored in many aspects including therapy and emotional support. In some cases, these types of pets have been deemed necessary for pet owners with medical problems. However, pets are not only a medical necessity for some humans, but they are also companions, and most are included as family members. The loss of a pet often brings on intense grief that is not often acknowledged in the workforce. Bereavement leave for immediate family members is a benefit offered to employees, and as we will read in this literature review pet …

Clinical Trial Design Challenges And Opportunities For Emerging Treatments For Opioid Use Disorder: A Review, Brian D Kiluk, Bethea A Kleykamp, Sandra D Comer, Roland R Griffiths, Andrew S Huhn, Matthew W Johnson, Kyle M Kampman, Marco Pravetoni, Kenzie L Preston, Ryan Vandrey, Cecilia L Bergeria, Michael P Bogenschutz, Randall T Brown, Kelly E Dunn, Robert H Dworkin, Patrick H Finan, Peter S Hendricks, Elisabeth J Houtsmuller, Thomas R Kosten, Dustin C Lee, Frances R Levin, Aimee Mcrae-Clark, Charles L Raison, Kurt Rasmussen, Dennis C Turk, Roger D Weiss, Eric C Strain

Faculty, Staff and Students Publications

Importance: Novel treatments for opioid use disorder (OUD) are needed to address both the ongoing opioid epidemic and long-standing barriers to existing OUD treatments that target the endogenous μ-opioid receptor (MOR) system. The goal of this review is to highlight unique clinical trial design considerations for the study of emerging treatments for OUD that address targets beyond the MOR system. In November 2019, the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION) public-private partnership with the US Food and Drug Administration sponsored a meeting to discuss the current evidence regarding potential treatments for OUD, including cannabinoids, …

Enhancing Driver Distraction Detection Through The Synergy Of Deep And Traditional Machine Learning, Gowtham Chandrasekaran

Master's Projects

Distracted driving is a major contributor to motor vehicle accidents, causing injury and loss of life. It is one of the major factors that affect the overall driving behavior of a person. Insurance companies take into consideration factors like gender, age, etc. to set insurance premiums for their customers. Today, machine learning and artificial intelligence can eradicate this bias. A machine learning model can analyze driving behavior, such as the frequency and severity of accidents, the speed at which they drive, and their habits such as distracted driving. Based on this information, the model can then determine the risk of …

Analyzing The Benthic Cover Of Crustose Coralline Algae Using Mask-R Cnn, Rachana Ravindra

Master's Projects

Coral reefs, supporting 25% of marine biodiversity, confront challenges from local and global impacts like overfishing, runoff, acidification, and warming. Crustose Coralline Algae (CCA), pivotal for reef structure and coral settlement, are underrepresented in research. Current methods like Coral Point Count with Excel Extensions (CPCe) have limitations, relying on image quality and being time-consuming. This paper proposes computer vision and Mask R-CNN, a supervised machine learning model, for CCA analysis in reef images, considering color, texture, and shape. Results indicate promise in clustering and classifying organisms. The innovative technology reduces manual labor, enhancing image analysis, simplifying the understanding of CCA’s …

Mild Cognitive Impairment And Alzheimer’S Disease Detection And Testing Interface (Mci-Addti) Modeller10.4 Integrating Structure-Function Prediction Modules, Grant Galileo Jacobson

Master's Projects

In the population of adult human patients who over express Beta and Tau Amyloids, it is unclear why 40% of them do not have Alzheimer’s Disease (AD), when all patients with AD have an overexpression of Beta and Tau Amyloids. The MCI-AD-DTI project’s epigenetic pipeline is an evolving computation tool that seeks epigenetic-related information related to the observed disparity. The MCI-AD-DTI’s epigenetic pipeline’s ability to identify mutations currently relies solely on PyPDB for verification of its protein functionality evaluation. The assessment process of the industry standard application, Modeller10.4, is independent from the current epigenetic pipeline’s protein evaluation algorithm. Thus, this …

Estimating Air Pollution Levels Using Machine Learning, Srujay Rao Devaraneni

Master's Projects

Air pollution has emerged as a substantial concern, especially in developing countries worldwide. An important aspect of this issue is the presence of PM2.5. Air pollutants with a diameter of 2.5 or less micrometers are known as PM2.5. Due to their size, these particles are a serious health risk and can quickly infiltrate the lungs, leading to a variety of health problems. Due to growing concerns about air pollution, technology like automatic air quality measurement can offer beneficial assistance for both personal and business decisions. This research suggests an ensemble machine learning model that can efficiently replace the standard air …

Toward More Rigorous And Informative Nutritional Epidemiology: The Rational Space Between Dismissal And Defense Of The Status Quo, Andrew W Brown, Stella Aslibekyan, Dennis Bier, Rafael Ferreira Da Silva, Adam Hoover, David M Klurfeld, Eric Loken, Evan Mayo-Wilson, Nir Menachemi, Greg Pavela, Patrick D Quinn, Dale Schoeller, Carmen Tekwe, Danny Valdez, Colby J Vorland, Leah D Whigham, David B Allison

Faculty, Staff and Students Publications

To date, nutritional epidemiology has relied heavily on relatively weak methods including simple observational designs and substandard measurements. Despite low internal validity and other sources of bias, claims of causality are made commonly in this literature. Nutritional epidemiology investigations can be improved through greater scientific rigor and adherence to scientific reporting commensurate with research methods used. Some commentators advocate jettisoning nutritional epidemiology entirely, perhaps believing improvements are impossible. Still others support only normative refinements. But neither abolition nor minor tweaks are appropriate. Nutritional epidemiology, in its present state, offers utility, yet also needs marked, reformational renovation. Changing the status quo …

Perspective: Dimensions Of Environment And Health In Arctic Communities, Rainer Lohmann, Bonita Beatty, Jessica Graybill, Elena Grigorieva, Ketil Lenert Hansen, Anu Soikkeli

Graduate School of Oceanography Faculty Publications

In the Arctic, environment and health are linked in myriad ways. A key emphasis has been on numerous long-lived contaminants in traditional foods, particularly marine mammals, and their well-documented impacts on human, animal and environmental health (“One health approach”). More recent concerns for Indigenous communities focus on the (side) effects of the switch to a modern, processed diet, which is accompanied by a loss of tradition and emerging health impacts. Furthermore, the availability of traditional foods is increasingly threatened by the impacts of climate change, which also causes the emergence and spread of new and old diseases, such as anthrax. …

Holocene Climate Change Shifted Southern Ocean Biogeochemical Cycling And Predator Trophic Dynamics, Chantel I. Michelson, Michael J. Polito, Michael B. Wunder, Steven D. Emslie, Matthew D. Mccarthy, William P. Patterson, Kelton W. Mcmahon

Graduate School of Oceanography Faculty Publications

Studies of Antarctic paleo-archives have produced conflicting hypotheses on the relative impact of long-term climate change and historic exploitation of marine mammals on Southern Ocean krill predator foraging ecology. We disentangle these hypotheses using amino acid stable isotope analysis on a 7000-yr Holocene archive of Adélie penguin (Pygoscelis adeliae) eggshells to differentiate variation in diet and trophic dynamics from baseline biogeochemical cycling as drivers of the rapid decline in krill predator bulk tissue δ15N values in recent centuries. Contrary to previous hypotheses suggesting solely trophic dynamic mechanisms as drivers of this decline, we identified an abrupt decline in source amino …

Dietary Plasticity Linked To Divergent Growth Trajectories In A Critically Endangered Sea Turtle, Matthew D. Ramirez, Larisa Avens, Anne B. Meylan, Donna J. Shaver, Angela R. Stahl, Peter A. Meylan, Jamie M. Clark, Lyndsey N. Howell, Brian A. Stacy, Wendy G. Teas, Kelton W. Mcmahon

Graduate School of Oceanography Faculty Publications

Foraging habitat selection and diet quality are key factors that influence individual fitness and meta-population dynamics through effects on demographic rates. There is growing evidence that sea turtles exhibit regional differences in somatic growth linked to alternative dispersal patterns during the oceanic life stage. Yet, the role of habitat quality and diet in shaping somatic growth rates is poorly understood. Here, we evaluate whether diet variation is linked to regional growth variation in hawksbill sea turtles (Eretmochelys imbricata), which grow significantly slower in Texas, United States versus Florida, United States, through novel integrations of skeletal growth, gastrointestinal content (GI), and …

Laboratory Bioassays Of A Native Arkansas Isolate Of Metarhizium Robertsii (Hypocreales: Clavicipitaceae) And The Biopesticide Met52® For The Control Of Amblyomma Americanum (Anactinotrichidea [=Parasitoformes]: Ixodidae)., Allen Szalanski

Entomology and Plant Pathology Faculty Publications and Presentations

The lone star tick, Amblyomma americanum, is the predominant human-biting tick in Arkansas and a vector of multiple pathogens of medical and veterinary importance. Increasing concerns over acaricide resistance and environmental contamination have prompted evaluation of alternative control strategies. We assessed the pathogenicity of a native Arkansas isolate of Metarhizium robertsii (Savoy P10N1) against laboratory-reared adult and nymphal A. americanum under controlled conditions. Ticks were immersed in a conidial suspension (1 × 10⁸ conidia/ml) and monitored for mortality and fungal sporulation for 77 days post-inoculation. Cumulative mortality followed a time-dependent logistic pattern, with significant fungal-induced mortality beginning at 14 …

A New Art For A New China: Modern Chinese Prints From The Ihrman Collection, Charles Mason, Andie Near

Kruizenga Art Museum Exhibition Catalogs

Kruizenga Art Museum, Hope College Catalog for exhibition: "A New Art for a New China: Modern Chinese Prints from the Ihrman Collection". Exhibition dates: September 1-December 16, 2023. Charles Mason, author. Andie Near, photographer, designer.

Kruizenga Art Museum Online Collection - Exhibition Gallery

Hide And Seek: An Exploration Of Antipredator And Predator Avoidance Mechanisms In Orthopodomyia Signifera In Response To Predation From Toxorhynchites Rutilus, Nathaniel Dahlberg

Master's Theses

There have been many observations of larval Orthopodomyia signifera coexisting with the predator Toxorhynchites rutilus. There are three hypotheses that could explain how Or. signifera resists predation from Tx. rutilus. The first hypothesis states that larvae adapt behavioral changes that limit predation. The second hypothesis states thoracic setae serve as a physical defense that prevents Tx. rutilus from grasping Or. signifera. The third hypothesis states Or. signifera possess a chemical defense indicated by aposematic coloration. To test the first hypothesis larval Or. signifera were exposed to conspecific and heterospecific predation cues and their behavior was observed. Both cues …

The King And His Court: The Culture Of Royal Power And The Creation Of The Angevin Empire Under Henry Ii, Joseph Jarrell

Master's Theses

Legal codes, literature, history, and violence were necessary aspects of royal power that in conjunction with resources gained from familial inheritance and a fortunate marriage allowed King Henry II to build, govern, and legitimize his rule over the Angevin Empire, as well as attempt to create an Angevin dynasty. Examining these subjects advances ideas about medieval royal culture and its relation to political power and legal power in the twelfth century Angevin Empire.

Historiography has long examined this period as the histories of great men, but recent trends have examined the interplay of power, politics, and gender during the Middle …

Porotic Hyperostosis And Cribra Orbitalia In The Adult Population Of Tipu, Miranda Hahn

Master's Theses

Tipu is a contact period Maya site in western Belize where a mission church and cemetery was established around AD 1560. An archaeological excavation in the 1980s recovered the remains of more than 550 individuals. In its unique location on the fringes of Spanish control, Tipu was the site of both acceptance of introduced cultural traits as well as rebellion against them. The series has been intensively studied over the last decades, but an analysis of anemia using more recently developed and widely accepted standards has not yet been completed. Therefore, I scored adults using the new widely accepted standards …

Scale-Free Behavioral Dynamics Directly Linked With Scale-Free Cortical Dynamics, Sabrina A. Jones, Jacob H. Barfield, V. Kindler Norman, Woodrow L. Shew

Physics Faculty Publications and Presentations

Naturally occurring body movements and collective neural activity both exhibit complex dynamics, often with scale-free, fractal spatiotemporal structure. Scale-free dynamics of both brain and behavior are important because each is associated with functional benefits to the organism. Despite their similarities, scale-free brain activity and scale-free behavior have been studied separately, without a unified explanation. Here, we show that scale-free dynamics of mouse behavior and neurons in the visual cortex are strongly related. Surprisingly, the scale-free neural activity is limited to specific subsets of neurons, and these scale-free subsets exhibit stochastic winner-take-all competition with other neural subsets. This observation is inconsistent …

Surrey's Silence: Subpart F And The Swiss Subsidiary Tax That Never Was, Steven Dean

Faculty Scholarship

Was Stanley Surrey racist? Was he a coward for not speaking as plainly about the Swiss tax haven problem in public as the Surrey Papers reveal his team did in private? In the broad sweep of history Surrey’s silence may have mattered a great deal or it may have mattered very little. The quiet aspect of the Liberia problem that it highlights undoubtedly does. Exploiting the public’s misunderstanding of the term tax haven as Surrey quickly learned to do has become second nature to scholars and policymakers alike. No less powerful than the loud aspect of the Liberia problem, the …

How Much Do Investors Care About Social Responsibility?, Scott Hirst, Kobi Kastiel, Tamar Kricheli-Katz

Faculty Scholarship

Perhaps the most important corporate law debate over the last several years concerns whether directors and executives should manage the corporation to maximize value for investors or also take into account the interests of other stakeholders and society. But, do investors themselves wish to maximize returns, or are they willing to forgo returns for social purposes? And more broadly, do market participants, such as investors and consumers, differ from donors in the ways in which they prioritize monetary gains and the promotion of social goals?

This project attempts to answer these questions with evidence from an experiment conducted with 279 …

How Do Glp-Ira Medications Affect Gut And Brain Hunger Signaling To Allow For Reduction In Weight And Better Glycemic Control In Adults With Obesity And Type 2 Diabetes?, David White

Graduate Research Projects

No abstract provided.

All The Way To Hell: An Artist's Legal Descent Into The Underworld Of Oil And Gas, Madison S. Marlow

Cardozo Arts & Entertainment Law Journal

Eliza Evans’ project, All the Way to Hell, employs a novel legal strategy to challenge Oklahoma’s permissive fracking regulations by fragmenting mineral rights among thousands of co-owners, aiming to disrupt the forced pooling process. While her approach highlights systemic legal and environmental issues, the state’s industry-friendly framework and regulatory capture present significant barriers to meaningful change. The note argues that Evans’ activism underscores the need for legislative reform to balance individual property rights with environmental protection.

Teen Appeal, Memphis, 19:04, 2015

Documents

Issue 19.4 of the "Teen Appeal" published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on December 2, 2015.