Digital Commons Network^™

The Petticoat: Details Of A Forgotten Garment In Mexico City (1900–1910), Nallely Rangel Vázquez

Textile Society of America: Symposium Proceedings

During Porfirian government, Mexican society experienced a flourishing of the textile industry driven by state policies that encouraged both the rise of the national industry and foreign investment. This process was perceived from the daily life of the capital, through the windows of silk shops, shoe shops, warehouses and, above all, the imposing department store El Palacio de Hierro. One of the garments that was designed to fit at the waist and cover the legs was the petticoat, which was assumed to be a piece of female underwear. In this article, I am interested in unravelling details findings about this …

Knot Anomalies On Inka Khipus: Revising Locke’S Knot Typology, Sabine Hyland

IX Jornadas Internacionales de Textiles Precolombinos y Amerindianos / 9th International Conference on PreColumbian and Amerindian Textiles, Museo delle Culture, Milan, 2022

In 2007, in the IV Actas de las Jornadas Internacionales sobre Textiles Precolombinos, Kylie Quave noted the existence of various structural anomalies in khipus presumed to date to the Late Horizon. These anomalies included the use of non-cotton vegetal fibres, the inclusion of single red strings, subsidiary cords that are plied through rather than half hitched, and the placement of long knots and figure-8 knots “in a way that precludes a numerical reading”. Since Quave’s article, there has been little examination of such anomalies, nor have scholars known whether such anomalies were to be found in khipus that had …

Barton Family Papers, Arkansas State University - Jonesboro

Archival Collection Finding Aids

Siblings Lillian and Elizabeth Barton were active community members and teachers in Jonesboro, Arkansas during the mid-20th century. Lillian in particular was instrumental in developing educational curricula and training teachers in Northeast Arkansas. The collection largely consists of community and school related material including the awards, degrees, and certificates given to the family.

Warner Family Collection, Arkansas State University - Jonesboro

Archival Collection Finding Aids

The Warner family were a prominent and a founding family of Jonesboro, Arkansas. In the early part of the 20th century, the family were entrepreneurs and one of the largest landowners of the area. This collection consists of business and personal papers, receipts, and statements from four members of the Warner family.

Second World War Prisoners Of War Collection, Arkansas State University - Jonesboro

Archival Collection Finding Aids

When the United States entered the Second World War, the British government requested the United States house prisoners of war to help alleviate their housing problems. While hesitant at first, the United States built hundreds of camps and transported nearly half a million German and Italian prisoners of war to its soil. Organizations and communities in Arkansas appealed to the War Department and their representatives to establish branch camps and use prisoners in agricultural and timber labor to ease their labor shortage. This collection contains correspondence, reports, and statements to those efforts.

An Investigation Into Academic Clustering Among Division Ii Student Athletes, Michael Monahan, Amit Shah

Journal of Business, Industry, and Economics

Academic clustering occurs when at least 25% of the student athletes on any given team have the same academic major. In and of itself, academic clustering is neither good nor bad, however there is the temptation for students to gravitate toward a major which is perceived to be easier, to seek to associate only with team members, or to enlist in majors which do not align with their career ambitions. Is it for flexibility and scheduling to choose an academic major to have the least impact on their sport? This study examined the athletic program at a Division II four-year …

Volume Vii, Spring 2024, International Anchoritic Society

International Anchoritic Society Newsletter

No abstract provided.

Standing And Probabilistic Injury, Curtis Bradley, Ernest Young

Articles

Standing to sue often turns on questions of probability. For example, public law plaintiffs must show that they are likely to be affected by allegedly unlawful government surveillance or environmental policies, and consumers may wish to sue private defendants over false credit reporting or data breaches that may or may not cause them financial or reputational harm in the future. This Article offers a framework for resolving a wide range of these “probabilistic standing” issues. Our core claim is that courts and commentators ask too much of standing doctrine in probabilistic cases. First, scholars sometimes seek a unified theory of …

The Role (And Limits) Of Developmental Neuroscience In Determining Adolescents’ Autonomy Rights: The Case For Reproductive And Voting Rights, Emily Buss, Julie Maslowsky, Laura Wray-Lake

Articles

No abstract provided.

R. V. Sharma: Reckoning With Destabilizing Truths In Constitutional Equality Adjudication, Debra Parkes, Sonia Lawrence

The Supreme Court Law Review: Osgoode’s Annual Constitutional Cases Conference

The Supreme Court of Canada’s 2022 decision in R. v. Sharma provides a window on contemporary but divergent judicial approaches to systemic racism in the criminal legal system and how these inform equality challenges based on race. The Sharma majority follows a trend identified by Efrat Arbel in recognizing the “crisis” of Indigenous mass incarceration using language which diffuses the causes of the crisis and does not generate urgent redress. However, in some cases, including in the Sharma dissent, recognition by judges can be an acceptance of accountability as part of the system which has produced these effects. We then …

Institutional Racism In The United States Revisited, Carmichael Peters, Louis L. Knowles, Rodè F. Cramer, Glennan Keldin, Hayley Nelson, Lucia Beatty

Open Educational Resources

This book aims to examine the current state of systemic racism in the United States as compared to baseline data collected in 1969. Using recent findings in the fields of history, economics, education, political science and public health, the work reveals the ways in which systemic racism in the US has and has not been addressed in the past five decades.

Constructing An Interpretable Deep Learning Framework Utilizing Variational Autoencoder Latent Space For Part-Prototype Learning, Shiska Raut

Computer Science and Engineering Theses - Archive

What visual attributes do cats have in common, and what features set them apart from dogs? How are we able to tell the difference between the two? While we do not fully understand the mechanism humans use for object detection, one popular theory suggests that it boils down to identifying distinct visual features specific to each object. For example, all cats have vertical slit-shaped pupils when their eyes are constricted, which is something we do not see in dogs. These slit-shaped pupils are a feature ‘prototypical’ to cats. Object classification is a computer vision task that involves identifying and categorizing …

Modeling Complex Dynamic Systems Using Graph Neural Networks, Shruti Udupa

Computer Science and Engineering Theses - Archive

Our work investigates the use of Graph Neural Networks (GNNs) for modeling complex dynamic systems. Understanding dynamic systems is essential for comprehending how physical and social interactions in real-world systems evolve over time and how they can be influenced or controlled. Conventional techniques often use differential equations and numerical methods, which are computationally expensive and demand detailed knowledge of the system’s physical behavior. GNNs provide an alternative by adopting a data-driven approach that learns directly from data, making them especially valuable for systems without closed-form solutions. This work aims to harness GNNs to predict and simulate dynamic behaviors in graph-based …

Amplification-Free Rapid Detection Of Specific Oligonucleotides Through Formation Of Core-Satellite Nanostructures On Solid Substrates, Vineet Kumar Jayakrishnan

Material Science and Engineering Theses - Archive

A rapid, portable, and highly sensitive method for detecting specific pathogens like Covid-19 would be invaluable for public health and emergency responses. The current standards like PCR and RT-PCR, are incredibly sensitive but also time-consuming, require skilled personnel, and demand substantial lab space. Here, we propose an alternative method capable of detecting specific oligonucleotide sequences within just 3 minutes, using a portable silicon or glass substrate (6 mm x 9 mm). We demonstrated this using 67-mer oligonucleotides with a Covid-19 sequence as a model system, achieving a detection sensitivity down to 1 nM. Our approach involves sandwiching target COVID-19 oligonucleotides …

Long-Term Simulation Of Stem Cell Mechanobiology, Manoochehr Rabiei

Mechanical and Aerospace Engineering Dissertations - Archive

An accurate representation of cellular mechanobiology necessitates the inclusion of subcellular elements characterized by minute masses and dimensions. These minute objects yield multiscale dynamic models with disproportionate terms, which require inordinate amounts of computational time to simulate. The computational requirements limit the time span of the simulation to time histories shorter than one second, even when employing supercomputers. This work presents a high-speed approach to simulating the mechanobiology of stem cells. The proposed approach separates the computational time from the size, and distribution, of masses of the subcellular elements, enabling the simulation of weeks-long cellular processes within hours on a …

Experimental Study Of Flow Analysis In Single Phase Immersion Cooling Using Tomographic Piv, Vijaya Rama Raju Goriparthi

Mechanical and Aerospace Engineering Theses - Archive

As data centers evolve to support increasing server densities, the inadequacies of traditional air cooling in managing thermal loads have become evident. This is primarily due to an increased demand for powerful CPU and GPU-based platforms that can run Artificial Intelligence (AI) and Machine Learning (ML) workloads amongst others. Consequently, single-phase immersion cooling has gained prominence as an efficient, sustainable alternative, significantly reducing operational costs and energy consumption. This method has shown a remarkable ability to cut cooling energy by up to 90% and overall data center energy use by 50%. The current investigation uses Particle Image Velocimetry (PIV) to …

Investigation Of Bone Structure And Composition Differences In Osteofibrous Dysplasia And Neurofibromatosis Type 1, Farzaneh Fereidouni

Material Science and Engineering Dissertations - Archive

Abstract

Investigation of Bone Structure and Composition Differences in Osteofibrous Dysplasia and Neurofibromatosis Type 1

Farzaneh Fereidouni, Ph.D.

The University of Texas at Arlington, 2024

Supervising Professor: Harry F. Tibbals

Bone genetic diseases such as Osteofibrous Dysplasia (OFD) and Neurofibromatosis type 1 (NF1) present significant challenges, particularly in children, due to their effects on skeletal homeostasis. This study aims to apply advanced material analysis to elucidate the biological disparities associated with OFD and NF1 bone dysplasia and contribute to developing diagnostic protocols and remediation approaches for these and similar bone disorders.

By employing various analytical methods, including analysis of mineral-to-matrix …

Nanoscale Studies Of Magnesium Carbonate Precipitation At Ambient Conditions, Ian Shortt

Material Science and Engineering Dissertations - Archive

Currently approximately 8% of global greenhouse gas emissions can be attributed to the construction industry; of these emissions, a little over half of these emissions are due to the production of traditional calcium-based cements. Magnesium carbonate cements present a promising alternative to traditional calcium-based cements, both in terms of emission reductions and in terms of strength. The primary drawback to magnesium carbonate cements is that ambient curing is not yet viable. The objective of this dissertation is to therefore develop greater understanding of the precipitation pathways undertaken by hydrated magnesium carbonates under near-ambient conditions. In the first section of this …

Sub-1k Cold Electron Transport At Room Temperature, Anthony Martinez

Material Science and Engineering Dissertations - Archive

Thermally excited electrons at the high-energy tail of the Fermi-Dirac distribution impose fundamental limitations on the performance of solid-state electronic and spintronic devices. For example, the thermally excited electrons obscure the Coulomb blockade essential for single-electron transport. The hot electrons can also overcome the energy barrier of Metal-Oxide-Semiconductor Field-Effect transistors (MOSFETs), causing unwanted leakage currents that lead to excessive power consumption in the integrated circuits. This study investigates an approach in which quantum states are used to manipulate electron tunneling, blocking the transport of thermally excited hot electrons, thereby enabling cold-electron transport at room temperature. Here two heterogeneous quantum wells …

Predicting Future States With Spatial Point Processes In Single Molecule Resolution Spatial Transcriptomics, Biraaj Rout

Computer Science and Engineering Theses - Archive

In this thesis, we present an innovative framework centered around the application of Random Forest Regression to forecast the prospective distribution of cells expressing the Sog-D gene (active cells) during the embryogenesis process in Drosophila. Our methodology specifically targets the Anterior-to-posterior (AP) and Dorsal-to-Ventral (DV) axes, unraveling the intricacies of gene expression control in living organisms at super-resolution, single-molecule resolution through whole embryo spatial transcriptomics imaging. The Random Forest Regression model serves as a pivotal tool in predicting the succeeding stage’s active cell distribution, capitalizing on the insights obtained from the preceding stage. We integrate temporally resolved, spatial point processes …

Unsupervised Machine Learning In Wireless Sensor Measurements And Hyperspectral Imaging, Abrar U. Alam

Electrical Engineering Dissertations - Archive

The increasing demand for real-time analysis of sensor data in dynamic environments necessitates innovative approaches to data clustering. This work introduces a novel Online Kernel Clustering (OKC) framework that efficiently determines time-varying clustering configurations without requiring training data. The proposed method employs sparse kernel factorization, guided by a time-dependent metric to quantify the closeness of kernel similarity matrices to a block diagonal structure. By processing data sequentially, the OKC framework is tailored for non-stationary settings. The optimization process integrates block coordinate descent, difference-of-convex functions minimization, and projected sub-gradient descent to iteratively update kernel covariance matrices and cluster memberships online. Numerical …

Resource Management And Optimization Of Interactive Microservice And Mpi-Based Ensemble Applications In The Cloud, Md Rajib Hossen

Computer Science and Engineering Dissertations - Archive

As user-interactive applications in the cloud transition from monolithic services to agile microservice architectures, efficient resource management becomes a key challenge. The multitude of loosely coupled components and fluctuating traffic patterns make traditional cloud autoscaling methods ineffective. Existing machine learning-based approaches, while attempting to address this, often require extensive training data and can lead to intentional violations of service level objectives (SLOs). To tackle these challenges, I propose PEMA (Practical Efficient Microservice Autoscaling), a lightweight resource manager for microservices. PEMA aims to optimize resource allocation through opportunistic resource reduction, considering the intricate dependencies between microservices.

On another front, scientific workflows …

Leveraging Software Testing Techniques To Explain, Analyze, And Debug Machine Learning Models, Sunny Shree

Computer Science and Engineering Dissertations - Archive

Machine learning (ML) algorithms are changing many aspects of modern life by analyzing data, identifying patterns, and making predictive decisions across industries such as healthcare, transportation, finance, and e-commerce. However, ML models often operate as "black boxes," making it difficult to interpret their decision-making processes. This lack of transparency creates challenges in testing, debugging, and understanding model behavior, which affects user trust and raises concerns about trustworthiness, accountability, reliability, and fairness in high-stakes applications.

Explainable Artificial Intelligence (XAI) aims to address these challenges by providing tools and methods that explain the decision-making processes of ML models in a way that …

A Path To Commissioning Of Direct-To-Chip Liquid Cooling For Hyperscale Data Centers Using Experimental And Cfd Techniques, Himanshu Girishchandra Modi

Mechanical and Aerospace Engineering Dissertations - Archive

The escalating demand for computing power in hyperscale data centers necessitates innovative cooling solutions to enhance energy efficiency and ensure sustainable operations. Direct-to-chip liquid cooling has emerged as a promising alternative to traditional air-cooling methods, offering improved thermal management and reduced energy consumption. This dissertation explores a comprehensive approach to commissioning direct-to-chip liquid cooling systems in hyperscale data centers by integrating experimental analyses and Computational Fluid Dynamics (CFD) techniques. The study begins by examining design modifications for air-cooled servers and later analyzes the impact of different parameters for a hybrid-cooled server. It explores the fundamental principles of direct-to-chip liquid cooling …

Kissing Bond Assessment In Adhesive Bonded Carbon Fiber Reinforced Composites Using Dielectric Spectroscopy, Minhazur Rahman

Mechanical and Aerospace Engineering Dissertations - Archive

The widespread use of fiber-reinforced composites in industries such as space, aviation, automobiles, and construction necessitates the formation of robust composite joints between critical structural components. Although adhesive-bonded joints are superior with improved load distribution and reduced weight, they are often overlooked in favor of bolted joints and mechanical fasteners due to the lack of reliable Non-Destructive Evaluation (NDE) techniques for adhesive-bonded composites. The anisotropic nature of the substrate and the intricate interfacial interactions between the adherend and adhesive material present significant challenges for conventional NDE methods. Moreover, weak adhesive bonds can result from uncontrolled manufacturing parameters, such as accidental …

Two-Phase Flow Simulations With Plic-Vof Method And Dynamic Mesh Refinement, Vimalan Adaikalanathan

Mechanical and Aerospace Engineering Dissertations - Archive

Two-phase flows are critical in a variety of engineering applications that span multiple length scales. These applications encompass macroscopic phenomena, such as dam breakage and wave-structure interactions, as well as microscopic events, including droplet impacts and boiling, and mixed-scale issues like spray dynamics. Accurate representation of evolving interfaces is essential for numerical simulations of these problems, and the Volume of Fluid (VOF) method combined with the Piecewise Linear Interface Calculation (PLIC) approach is employed to fulfill this requirement. To tackle the computational challenges associated with high-resolution meshes in deforming two-phase flows, Adaptive Mesh Refinement (AMR) is utilized to enhance mesh …

Design And Experimentation Of Novel Human Head Surrogate Models For Sensing Traumatic Brain Injury, Arthur T. Koster

Mechanical and Aerospace Engineering Dissertations - Archive

Brain injury is a significant source of mortality in the US and has been an important area of research over the past century. The need to understand injury thresholds and pathology coupled with the difficulty of measuring relevant injury mechanisms in a living subject logically gives rise to the idea that researchers need to create head models for use in simulation and experimentation. This study focuses on understanding the effects of material properties, size, and shape on the dynamic response of a head model so that head models used in simulations and experiments can more accurately represent the real human …

Experimental Investigations And Optimization Of 3d Printed Cellular Structures For Protection Against Traumatic Brain Injury, Aaron R. Jackson

Mechanical and Aerospace Engineering Dissertations - Archive

Traumatic Brain Injury (TBI) disrupts brain function due to head impacts, blast exposures, and ballistic penetrations. It is a significant cause of mental health issues and disability, particularly among military personnel. Historically, combat helmets were designed primarily to protect against fragments. However, recent data highlights the need for helmets that also protect against blast and blunt impacts. Effective TBI prevention requires helmets that address various energy threats while remaining lightweight. A critical metric in this effort is head acceleration, which is closely linked to injury across different scales of brain damage.

Four lattice structures were 3D printed using Digital ABS …

Synthesis Of Ni-Based Intermetallics By Electrolytic Plasma Processing Of Ti And Ti-Based Alloys, Chuzhong Zhang

Material Science and Engineering Dissertations - Archive

EPP is an innovative surface modification technique that enables the deposition of metal ions from the electrolyte and their integration with substrate atoms to form intermetallic compound surface layers. EPP offers advantages such as high deposition rates, environmental cleanliness, and operational simplicity. In this study, Ni-Ti intermetallic layers were successfully synthesized on a Ti-6Al-4V substrate using EPP. The properties of the resulting Ni-Ti intermetallic layers were characterized using SEM, EDS, XRD, TEM, nanoindentation, and tribology tests.

This work aims to understand the fabrication mechanism and investigate the effects of various processing parameters on the EPP process. Key factors such as …

Introduce Ultrasound Fabry-Pérot Resonator For Attenuation Characterization And Sensitization Detection Of Aluminum-Magnesium Alloys, Songwei Wang

Mechanical and Aerospace Engineering Dissertations - Archive

The Ultrasound Fabry-Pérot Resonator (UFPR) is introduced as a novel technique for non-destructive evaluation and material characterization. By adapting optical Fabry-Pérot Resonator principles to ultrasonic systems, UFPR inherits advantages such as enhanced sensitivity, reduced uncertainty, and the capabilities of frequency-dependent analysis and fringe spectral analysis. This study focuses on UFPR’s application to ultrasonic attenuation characterization and sensitization detection in aluminum-magnesium alloys, which are critical for understanding microstructural changes and improving material performance.

The research was conducted in three systematic steps. First, time-frequency analysis was utilized to examine frequency-dependent attenuation behavior, establishing a foundation for ultrasonic attenuation characterization. Second, longitudinal UFPR …