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Tense Indifference: An Examination Of Integration In Two Cities In Marengo County, Alabama, Benjamin Ogden

Honors Theses

For decades, the city of Demopolis, Alabama, in Marengo County has been viewed by West Alabama administrators as a “beacon of hope” in terms of race relations because it successfully integrated its public schools and managed to keep private segregation academies at bay. In the neighboring city of Linden, however, integration was far less successful, with a a segregated private school siphoning off the white students and eroding white support for public education. dominating and destroying the educational structure of the city. In this paper, I delve into how the dichotomy between these two nearby cities was created by the …

Advances In Nanofiber Technology For Biomedical Application: A Review, Dipasree Bhowmick, Islam Uddin Shipu

Mechanical Engineering Faculty Publications

The application of nanofiber technology in the biomedical field has garnered significant interest due to its potential to revolutionize areas such as tissue engineering, wound healing, and antimicrobial treatments. This paper provides a comprehensive review of the recent advancements in nanofiber technology, particularly focusing on electrospinning and 3D printing methods that enable the fabrication of scaffolds mimicking the native extracellular matrix. These technologies have facilitated the development of nanofibers with high surface-to-volume ratios, adjustable porosity, and enhanced mechanical properties, tailored to meet specific biomedical needs. Despite their promising features, challenges such as the optimization of pore size for effective cell …

Reaping What We Sow: The Implications And Outcomes Of Mississippi House Bill 1125, The “Regulate Experimental Adolescent Procedures (Reap)” Act, Kerigan Brewer

Honors Theses

Mississippi House Bill 1125 (MS HB1125), also known as the “Regulate Experimental Adolescent Procedures (REAP) Act,” was signed into law by Mississippi Governor Tate Reeves in early 2023 (REAP Act, 2023). It is one of multiple policies passed into law that limit the rights of transgender people. This thesis aims to clarify the history of the trans community, dispel myths around gender-affirming health care and the trans identity, and discuss the current state of anti-trans laws and transgender rights. Using a policy analysis framework by DiNitto (2011), MS HB1125 is analyzed on points like its social and economic costs, the …

Stuck In My Head: Maladaptive Daydreaming And Memory, Tamryn Woolfork

Honors College Theses

Previous research has indicated that maladaptive daydreaming (MD), a proposed psychological disorder in which people are compulsively immersed in complex daydreamed plots accompanied by intense emotional involvement and stereotypical movements (Soffer-Dudek & Theodor-Katz, 2022), may be comorbid with many disorders such as ADHD (Somer, Soffer-Dudek, & Ross, 2017). Research has also shown that MD is related to the concept of absorption in which a person’s attention is fully engaged in an outside object (Abu-Rayya, Somer, & Meari-Amir, 2019; Tellegen & Atkinson, 1974). This study examined whether MD was correlated with story world absorption, working memory span, and memory for a …

The Pam-1 Aminopeptidase Protects Against Neurodegeneration In Caenorhabditis Elegans, Caleb Coil

Honors College Theses

The deteriorating effects of neurodegenerative conditions seem inescapable for many as they age. The experimental exploration of the molecular and cellular mechanisms responsible for neurodegeneration is aided using animal models. For instance, genetic screens have identified the puromycin-sensitive aminopeptidase (PSA) as a novel effector of neurodegeneration, as mutations in PSA in fruit flies result in perturbations of neuron anatomy and an accelerated onset of neuron death. We have tested the hypothesis that PAM-1, the Caenorhabditis elegans ortholog of PSA, plays a similar role in governing neurodegeneration in nematodes. Genetic strains were created that express the green fluorescent protein (GFP) in …

Front Matter, Michigan Law Review

Michigan Law Review

Front Matter for Volume 122, Issue 7 of Michigan Law Review

Project Foresight Annual Report, 2022-2023, Paul J. Speaker

Faculty & Staff Scholarship

Project FORESIGHT is a business-guided self-evaluation of forensic science laboratories across the globe. The participating laboratories represent local, regional, state, and national agencies. Economics, accounting, finance, and forensic faculty provide assistance, guidance, and analysis. Laboratories participating in Project FORESIGHT have developed standardized definitions for metrics to evaluate work processes, linking financial information to work tasks, and functions. Laboratory managers can then assess resource allocations, efficiencies, and value of services—the mission of Project FORESIGHT is to measure, preserve what works, and change what does not.

The benchmark data for the 2022-2023 performance period includes laboratory submissions for a variety of fiscal …

A Dyadic Analysis Of Fat Talk And Body Esteem Amongst Romantic Couples, Marissa J. Sáez

All Graduate Theses and Dissertations, Fall 2023 to Present

Due to high levels of body objectification within society, many individuals feel a strong need to "improve" their bodies. This mindset can lead individuals to speak negatively about their body, which is referred to as fat talk. This study examines the relationship between fat talk on one's own and their romantic partner's body esteem. Meaning, it is proposed that speaking negatively about one's body will impact not only their own body esteem, but also their romantic partner's body esteem. Data were collected from 112 participants (56 dyads). The results of the data supported both hypotheses, demonstrating that one's fat talk …

Impacts Of Lake Elevation Decline On Tui Chub, A Critical Forage Species For Lahontan Cutthroat Trout In Pyramid Lake, Nevada, Usa, Sarah Barnes

All Graduate Theses and Dissertations, Fall 2023 to Present

Lake level decline affects lakes worldwide, changing the availability and character of nearshore habitat used by fish to spawn, and increasing total dissolved solids (TDS), similar to salinity, a factor that negatively impacts fish health. Lake level decline can affect different lakes in different ways, but typically when lake level declines significantly, there is less nearshore habitat overall, and what nearshore habitat remains has less diverse habitat for fish. We investigated whether both impacts of lake level decline may be causing declines of Tui Chub Siphateles bicolor, a large minnow native to Pyramid Lake that spawns in nearshore habitat. …

Uv-A Light: A Novel Method For Food Dehydration, Mckade S. Roberts

All Graduate Theses and Dissertations, Fall 2023 to Present

Dehydration is one of the most prevalent forms of food preservation, with approximately 85% of food is hot air drying due to the simplicity of the process. The high temperatures employed in this method may also induce a loss in nutritional quality, which involves destruction of micronutrients (vitamins), and loss of color.

The aim of this work is to develop a low energy, non-thermal method of food dehydration that results in a high-quality product through the application of Ultraviolet light, within the UV-A range. UV light can be separated into its 3 categories based on the wavelength of light from …

Exploring Farmers' Willingness To Accept Payment For Agricultural Conservation In Utah, Asif Ahmed Khan

All Graduate Theses and Dissertations, Fall 2023 to Present

In view of Utah’s drought situation and the need for conservation of water use, this thesis tries to calculate the compensation required for farmers to switch from cultivating alfalfa-which requires a lot of water, to less water-consuming crops like wheat, hay and even pasture. It proposes a new technique for this calculation using big data, including satellite images from National Aeronautics and Space Agency (NASA), agricultural statistics from National Agricultural Statistics Service (NASS), climate data from Parameter-elevation Regressions on Independent Slopes Model (PRISM) climate group and land use data from the state of Utah. These data are integrated into a …

Variations On Leitmotif: Firebird Rises, Virginia Beikmann

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis begins with an introduction that discusses the various influences on the development of the creative novella portion. These influences include Russia literature and folklore, as well as the genres of alternative history and speculative fiction. The novella takes place in a re-imagining of Moscow, Russia during the 1917 Bolshevik Revolution. The novella portion is driven by a close focus on character, with emphasis on reactions to wartime pressures and interpersonal relationships forming the central conflict.

Investigating The Impact Of Pre-Professional Organization Participation On Undergraduate Technology And Engineering Education Student Retention And Interest In Teaching, Emily Yoshikawa-Ruesch

All Graduate Theses and Dissertations, Fall 2023 to Present

The field of Technology and Engineering Education (TEE) has evolved in name and content throughout its existence. Throughout these evolutions, the number of TEE programs across the United States have decreased along with a decrease in the number of students graduating from undergraduate TEE programs. Previous investigations into the recruitment of TEE students have identified social interactions with TEE program faculty and technology and engineering educators as influential in students' interest in teaching technology and engineering at the secondary level. This study sought to investigate how social interactions through participation in Technology and Engineering Educators Association (TEECA), as a community …

Dismantling Barriers To Publishing: Identifying Types Of Negative Review Experiences And Strategies For Mitigating Them, Hannah L. Stevens

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation research focuses on academic publishing, particularly the peer review process, investigating gaps between journal guidelines and guidelines of inclusive publishing policy and processes. This project investigates the potential for supplementation of policy documents to cultivate a positive publishing experience. Moreover, this research continues the work of cultivating connections among authors, reviewers, editors, etc., in the drive to increase the accessibility and inclusivity of the publication process.

Plant Model Of Α-Synucleinopathy: Expression Of Α-Synuclein A53t Variant In Hairy Root Cultures Leads To Proteostatic Stress And Dysregulation Of Iron Metabolism, Jasmina Kurepa, Kristen A. Bruce, Greg A. Gerhardt, Jan A. Smalle

Neurology Faculty Publications

Synucleinopathies, typified by Parkinson’s disease (PD), entail the accumulation of α- synuclein (αSyn) aggregates in nerve cells. Various αSyn mutants, including the αSyn A53T variant linked to early-onset PD, increase the propensity for αSyn aggregate formation. In addition to disrupting protein homeostasis and inducing proteostatic stress, the aggregation of αSyn in PD is associated with an imbalance in iron metabolism, which increases the generation of reactive oxygen species and causes oxidative stress. This study explored the impact of αSyn A53T expression in transgenic hairy roots of four medicinal plants (Lobelia cardinalis, Artemisia annua, Salvia miltiorrhiza, and Polygonum multiflorum). In all …

Reconceptualizing Self-Directed Learning In The Era Of Generative Ai: An Exploratory Analysis Of Language Learning, Belle Li, Curtis J. Bonk, Chaoran Wang, Xiaojing Kou

Department of Curriculum and Instruction Faculty Publications

This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators’ language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19 YouTubers and relevant video contents reveals distinct constructs of ChatGPT-integrated SDL, suggesting a reconceptualization and refinement of the SDL framework in the consideration of generative artificial intelligence (AI). This framework emphasizes critical aspects of utilizing ChatGPT as an SDL tool on two distinct levels: 1) the interactive relationships and interplay between learners’ personal …

Vol 4 May '24 Cover, Publishing And Table Of Contents, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.

Vol 4 May '24 Full Issue, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.

Using Additional Measures Of Handgrip Strength To Predict Aerobic Capacity In Wheelchair Users, Eric Naugle

All NMU Master's Theses

Manual wheelchair users have been shown to have low physical capacity and impaired ability to perform activities of daily living. Current tests and protocols for assessing physical capacity in wheelchair users have specific boundaries. Measuring handgrip strength (HGS) with electronic handgrip dynamometers has been shown to be a reliable measure of muscle function and a convenient assessment of overall muscle strength. This study aimed to determine the correlation of maximal HGS, HGS rate of force development, HGS fatigability, HGS isometric control, and HGS asymmetry to a six-minute wheelchair propulsion (6MPT) test in ambulatory young adults. Thirty-four recreationally active ambulatory individuals …

Evaluating Embryo Survival Of Surrogate Fish Species Using Multiple Incubators: Continuing Efforts Towards Reintroducing Arctic Grayling (Thymallus Arcticus) Into Lower Michigan Streams, Joshua Mutchler

All NMU Master's Theses

Arctic Grayling Thymallus arcticus have been successfully reintroduced to the Upper Missouri River Basin of Montana using Remote Site Incubators (RSI). Widespread use of RSIs as part of reintroduction efforts in Michigan is challenged by low gradient streams, which limit deployment success. In this study, I evaluated the utility of an alternative instream rearing device, the Floating Basket Incubator (FBI), by directly comparing the survival of Rainbow Trout Oncorhynchus mykiss, Brook Trout Salvelinus fontinalis, and Walleye Sander vitreus (as Arctic Grayling surrogates) between RSI and FBI in stream and hatchery environments. In addition, I assessed how abiotic and …

A Parametric Study On The Energy Dissipation Capability Of Frictional Mechanical Metamaterials Engineered For Vibration Isolation, Shayan Khosravi, Mohsen Amjadian

Civil Engineering Faculty Publications

Mechanical metamaterials are engineered structures with complex geometric arrangements that display unconventional mechanical properties which are uncommon in traditional materials. They possess the ability to manipulate and control mechanical wave propagation across specific frequency ranges known as frequency bandgaps. This feature makes them extremely useful for a variety of applications in structural control including passive vibration isolation. These materials can be engineered to selectively block or redirect the input motion at their dominant frequency while allowing the transmission of motion at other frequencies. This paper aims to study the dynamic performance of an innovative mechanical metamaterial designed for seismic isolation …

World Class Supply Chain 2024: Thriving In Volatile Times, Michael Haughton

Business Faculty Publications

The Eighth Annual World Class Supply Chain Summit was convened on May 1st, 2024 under the theme of Thriving in volatile times. The theme, which embodies the expressed interests of attendees in last year’s post-summit survey, underscored the supply chain community’s focus on how to succeed in a supply chain world that is volatile, uncertain, complex, and ambiguous (VUCA). The summit’s deliberations on the theme featured two keynote addresses (one each by an industry executive and a research scholar), an industry panel, a student panel, and an intergenerational fireside chat by a panel comprising individuals with experiences ranging from a …

Instant3d: Instant Text-To-3d Generation, Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Shuicheng Yan, Xiangyu Xu

Research Collection School Of Computing and Information Systems

Text-to-3D generation has attracted much attention from the computer vision community. Existing methods mainly optimize a neural field from scratch for each text prompt, relying on heavy and repetitive training cost which impedes their practical deployment. In this paper, we propose a novel framework for fast text-to-3D generation, dubbed Instant3D. Once trained, Instant3D is able to create a 3D object for an unseen text prompt in less than one second with a single run of a feedforward network. We achieve this remarkable speed by devising a new network that directly constructs a 3D triplane from a text prompt. The core …

The Impact Of Avatar Completeness On Embodiment And The Detectability Of Hand Redirection In Virtual Reality, Martin Feick, Andre Zenner, Simon Seibert, Anthony Tang, Antonio Krüger

Research Collection School Of Computing and Information Systems

To enhance interactions in VR, many techniques introduce offsets between the virtual and real-world position of users’ hands. Nevertheless, such hand redirection (HR) techniques are only effective as long as they go unnoticed by users—not disrupting the VR experience. While several studies consider how much unnoticeable redirection can be applied, these focus on mid-air floating hands that are disconnected from users’ bodies. Increasingly, VR avatars are embodied as being directly connected with the user’s body, which provide more visual cue anchoring, and may therefore reduce the unnoticeable redirection threshold. In this work, we studied more complete avatars and their effect …

Reinforcement Learning With Maskable Stock Representation For Portfolio Management In Customizable Stock Pools, Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Portfolio management (PM) is a fundamental financial trading task, which explores the optimal periodical reallocation of capitals into different stocks to pursue long-term profits. Reinforcement learning (RL) has recently shown its potential to train profitable agents for PM through interacting with financial markets. However, existing work mostly focuses on fixed stock pools, which is inconsistent with investors’ practical demand. Specifically, the target stock pool of different investors varies dramatically due to their discrepancy on market states and individual investors may temporally adjust stocks they desire to trade (e.g., adding one popular stocks), which lead to customizable stock pools (CSPs). Existing …

From Tweets To Token Sales: Assessing Ico Success Through Social Media Sentiments, Donghao Huang, S. Samuel, Quoc Toan Huynh, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

With the advent of social network technology, the influence of collective opinions has significantly impacted business, marketing, and fundraising. Particularly in the blockchain space, Initial Coin Offerings (ICOs) gain substantial exposure across various online platforms. Yet, the intricate relationships among these elements remain largely unexplored. This study aims to investigate the relationships between social media sentiment, engagement metrics, and ICO success. We hypothesize a positive correlation between favorable sentiment in ICO-related tweets and overall project success. Additionally, we recognize social media engagement indicators (mentions, retweets, likes, follower counts) as critical factors affecting ICO performance. Employing machine learning techniques, we conduct …

Anomalyclip: Object-Agnostic Prompt Learning For Zero-Shot Anomaly Detection, Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen

Research Collection School Of Computing and Information Systems

Zero-shot anomaly detection (ZSAD) requires detection models trained using auxiliary data to detect anomalies without any training sample in a target dataset. It is a crucial task when training data is not accessible due to various concerns, e.g., data privacy, yet it is challenging since the models need to generalize to anomalies across different domains where the appearance of foreground objects, abnormal regions, and background features, such as defects/tumors on different products/ organs, can vary significantly. Recently large pre-trained vision-language models (VLMs), such as CLIP, have demonstrated strong zero-shot recognition ability in various vision tasks, including anomaly detection. However, their …

Discovering Personalized Characteristic Communities In Attributed Graphs, Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li

Research Collection School Of Computing and Information Systems

What is the widest community in which a person exercises a strong impact? Although extensive attention has been devoted to searching communities containing given individuals, the problem of finding their unique communities of influence has barely been examined. In this paper, we study the novel problem of Characteristic cOmmunity Discovery (COD) in attributed graphs. Our goal is to identify the largest community, taking into account the query attribute, in which the query node has a significant impact. The key challenge of the COD problem is that it requires evaluating the influence of the query node over a large number of …

Quantum Machine Learning For Credit Scoring, Nikolaos Schetakis, Davit Aghamalyan, Micheael Boguslavsky, Agnieszka Rees, Marc Rakotomalala, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring for small- and medium-sized enterprises (SMEs). We introduce a hybrid quantum–classical model, focusing on the synergy between quantum and classical rather than comparing the performance of separate quantum and classical models. Our model incorporates a quantum layer into a traditional neural network, achieving notable reductions in training time. We apply this innovative framework to a binary classification task with a proprietary real-world classical credit default dataset for SMEs in Singapore. The results indicate that our hybrid model achieves efficient training, requiring significantly fewer epochs …

Reflections On Linear B, (Part 3): The Egyptian Cat-God Mau, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

The cat figure in Linear B sign 80 (with antecedents) likely derives ultimately from the nightly defeat of the Egyptian god of chaos (Apep, aka Apophis) by the sun god Ra, who took the form of the divine cat Mau. An alternative interpretation is set forth in Ferrara and Weingarten 2022, which sees the cat portrayals for wool or woolen products in Cretan Hieroglyphics as traceable to the cat sound /ma/ appearing by coincidence in Greek μαλλός ‘wool’ (possibly of pre-Greek origin). Perhaps both factors played a role (multiple causation).