Digital Commons Network^™

¿Dónde Vamos?: Exploring Neoliberal Gentrification Within An Oak Cliff Barrio, Luis E. Macias Barrientos

Theses and Dissertations

Barrio working-class Latinx populations have been historically ignored and prevented from creating sustainable roots within their own communities due to the confluence of settler colonialism, neoliberalism, and gentrification. I argue the neoliberal city creates an unsustainable predicament that seeks to marginalize working-class individuals from inner-city life, thus systematically precluding future generations of working-class Latinxs from upward mobility. Little attention has been paid to Texas cities resulting from neoliberal policies perpetuating settler colonialism and gentrification. This thesis draws from theories of neoliberalism and the neoliberal city to explore the effects of gentrification on barrio Latinx geographies. To explore the relationship between …

Design Of Topological Structures With Desired-Shape Mid-Gap State, Elnaz Hamdarsi

Theses and Dissertations

Topological systems with their robust features are of interest in different fields including electronics, acoustics, and photonics. Systems with non-trivial topological configurations are the host of the so-called edge modes with energy eigenfrequency lying at the center of the gap and are protected by the symmetries of the structure. The eigenstates associated with these mid-gap modes are exponentially localized at the boundaries. For practical applications, it is of great interest to design systems that have a protected state not necessarily squeezed towards the edges, and in some cases, it is crucial to have it as a distributed state. Here, using …

2023 Red Advisory Board Meeting Department Scrum Projects, Massood Towhidnejad, Omar Ochoa, James Pembridge, Radu Babiceanu

Presentations

No abstract provided.

A Hybrid Lateral Flow Sand Filter Wastewater Treatment System: An Evaluation On The Treatment And Disposal Capabilities Of A Modified Sand Filter, Harry Mccaskill Iv

Graduate Theses and Dissertations (2019 - present)

Decentralized wastewater treatment exists primarily in suburban and rural areas where centralized treatment is not an option. Traditional on-site treatment systems usually include the use of a septic tank and a drain field. This orthodox method works well when implemented into environments that are accommodating for the infiltration of effluents, and thus allowing for soil treatment. Unfortunately, there are some circumstances that prevent traditional systems from working such as impermeable soil conditions. The Wastewater Treatment System analyzed in this thesis was created to overcome such inhospitable environments. More specifically, this system is catered towards the rural residences of The Alabama …

The Water Mills Of The Historic Río Arriba In Northcentral New Mexico, 1598-1975, José A. Rivera Ph.D, Thomas F. Glick Ph.D

Faculty Publications

The water mills of New Mexico played a major role in the agricultural economy of the Río Arriba for centuries following the introduction of wheat from the Old World to the Americas. Wheat, in its ground form as flour, was a staple during the Spanish colonial period. To process raw wheat, local grist mills (molinos) were essential infrastructure as were the aceq uias (ditches) that powered them. Situated near the banks of rivers, the internal components of each mill were driven by the gravity force of water from an acequia, itself diverted from the river. Researchers have documented …

Ultrasonic Study Of Water Adsorbed In Nanoporous Glasses, Jason Ogbebor, John J. Valenza, Peter I. Ravikovitch, Ashoka Karunarathne, Giovanni Muraro, Maxim Lebedev, Boris Gurevich, Alexei F. Khalizov, Gennady Y. Gor

Research outputs 2022 to 2026

Thermodynamic properties of fluids confined in nanopores differ from those observed in the bulk. To investigate the effect of nanoconfinement on water compressibility, we perform water sorption experiments on two nanoporous glass samples while concomitantly measuring the speed of longitudinal and shear ultrasonic waves in these samples. These measurements yield the longitudinal and shear moduli of the water-laden nanoporous glass as a function of relative humidity that we utilize in the Gassmann theory to infer the bulk modulus of the confined water. This analysis shows that the bulk modulus (inverse of compressibility) of confined water is noticeably higher than that …

Strain Measurement With Multiplexed Fbg Sensor Arrays: An Experimental Investigation, Bruno Da Silva Falcão, Ausama Giwelli, Melissa N. Kiewiet, Stephen Banks, George Yabesh, Lionel Esteban, Leigh Kiewiet, Nurudeen Yekeen, Yevhen Kovalyshen, Ludwig Monmusson, Ahmed Al-Yaseri, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

In conventional rock mechanics testing, radial strain measuring devices are usually attached to the sample's surface at its mid-height. Although this procedure provides a realistic picture of the lateral deformation undergone by homogeneous samples, however, this assumption may not be accurate if the tested rock has significant heterogeneity. Fibre Bragg Grating (FBG) sensors have recently been introduced to various rock testing applications due to their versatility over conventional strain gauges and radial cantilevers. FBG sensors have small size, multiplexing capability, and immunity to magnetic interference. The main objective of this study is to explore and understand the capabilities of FBG …

Two Low-Complexity Efficient Beamformers For An Irs- And Uav-Aided Directional Modulation Network, Yeqing Lin, Feng Shu, Yuxiang Zheng, Jing Liu, Rongen Dong, Xun Chen, Yue Wu, Shihao Yan, Jiangzhou Wang

Research outputs 2022 to 2026

As excellent tools for aiding communication, an intelligent reflecting surface (IRS) and an unmanned aerial vehicle (UAV) can extend the coverage area, remove the blind area, and achieve a dramatic rate improvement. In this paper, we improve the secrecy rate (SR) performance of directional modulation (DM) networks using an IRS and UAV in combination. To fully explore the benefits of the IRS and UAV, two efficient methods are proposed to enhance the SR performance. The first approach computes the confidential message (CM) beamforming vector by maximizing the SR, and the signal-to-leakage-noise ratio (SLNR) method is used to optimize the IRS …

Prediction Of Drilling Fluid Lost-Circulation Zone Based On Deep Learning, Yili Kang, Chenglin Ma, Chengyuan Xu, Lijun You, Zhenjiang You

Research outputs 2022 to 2026

Lost circulation has become a crucial technical problem that restricts the quality and efficiency improvement of the drilling operation in deep oil and gas wells. The lost-circulation zone prediction has always been a hot and difficult research topic on the prevention and control of lost circulation. This study applied machine learning and statistical methods to deeply mine 105 groups and 29 features of loss data from typical loss block M. After removing 10 sets of noise data, the methods of mean removal, range scaling and normalization were used to pre-treat the 95 sets of the loss data. The multi-factor analysis …

Experimental Study On Fracture Plugging Effect Of Irregular-Shaped Lost Circulation Materials, Chengyuan Xu, Honglin Zhang, Jiping She, Guobin Jiang, Chi Peng, Zhenjiang You

Research outputs 2022 to 2026

Using micro-visualization experimental device for the formation of fracture plugging zone, the plugging behavior of irregular-shaped lost circulation materials (LCMs) with different types and concentrations in fractures was experimentally analyzed. The results show that the sealing time decreases significantly with the increase of material concentration. When the concentration is 20%, the sealing times of materials LCM-1∼LCM-5 are 6s, 7s, 5s, 6s, 4s, respectively. The formation of fracture plugging zone includes two stages, and the main factors affecting the formation of fracture plugging zone are flatness, roundness, convexity and concentrations. Flatness affects the retention stage of LCMs through the matching degree …

Mil-53(Fe) Derived Magnetic Cufe2o4/Fe2o3 Composite For Catalytic Oxidation Of Sulfamethoxazole Via Peroxymonsulfate Activation, Abdul H. Asif, Nasir Rafique, Rajan A. K. Hirani, Lei Shi, Yantao Wang, Xiaoguang Duan, Yu Yin, Hongqi Sun

Research outputs 2022 to 2026

Design of metal–organic framework (MOF) derived metal oxides is an effective approach for environmental remediation. The current study describes the fabrication of MIL-53-derived perforated CuFe2O4/Fe2O3 using a facile, one-step, post-thermal solid-state approach by varying Cu/Fe ratios. Herein, the release of CO2 and H2O during the thermal treatment facilitates the incorporation of Cu2+ onto the Fe2O3 structure, forming a perforated hollow CuFe2O4/Fe2O3 composite via an in-situ ion-exchange mechanism. The optimised catalyst CF-0.5 displays a high degradation efficiency for the removal of sulfamethoxazole (SMX) by heterogeneous activation of peroxymonsulfate (PMS), ascribing to the better textural, morphological, and elemental properties of the novel …

“Engines Of The Ruling Party”: The Establishment Clause And The Power Politics Of “Managing Diversity”, Robert A. Destro

UC Law Journal

No abstract provided.

Contrast Detection Is Enhanced By Deterministic, High-Frequency Transcranial Alternating Current Stimulation With Triangle And Sine Waveform, Weronika Potok, Onno Van Der Groen, Sahana Sivachelvam, Marc Bächinger, Flavio Fröhlich, Laszlo B. Kish, Nicole Wenderoth

Research outputs 2022 to 2026

Stochastic resonance (SR) describes a phenomenon where an additive noise (stochastic carrier-wave) enhances the signal transmission in a nonlinear system. In the nervous system, nonlinear properties are present from the level of single ion channels all the way to perception and appear to support the emergence of SR. For example, SR has been repeatedly demonstrated for visual detection tasks, also by adding noise directly to cortical areas via transcranial random noise stimulation (tRNS). When dealing with nonlinear physical systems, it has been suggested that resonance can be induced not only by adding stochastic signals (i.e., noise) but also by adding …

Multiscale Analysis Of Pangenomes Enables Improved Representation Of Genomic Diversity For Repetitive And Clinically Relevant Genes, Fritz J Sedlazeck, Peter H Sudmant, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variation at various scales, from smaller tandem repeats to megabase rearrangements, across many human genomes. We present a PanGenome Research Tool Kit (PGR-TK) enabling analyses of complex pangenome structural and haplotype variation at multiple scales. We apply the graph decomposition methods in PGR-TK to the class II major histocompatibility complex demonstrating the importance of the human pangenome for analyzing complicated regions. Moreover, we investigate the Y-chromosome genes, DAZ1/DAZ2/DAZ3/DAZ4, of which structural variants have been linked to …

Isolation And Characterization Of Porcine Endocardial Endothelial Cells, Marci K Kang, Jennifer P Connell, Sundeep G Keswani, K Jane Grande-Allen

Faculty, Staff and Students Publications

The heart contains diverse endothelial cell types. We sought to characterize the endocardial endothelial cells (EECs), which line the chambers of the heart. EECs are relatively understudied, yet their dysregulation can lead to various cardiac pathologies. Due to the lack of commercial availability of these cells, we reported our protocol for isolating EECs from porcine hearts and for establishing an EEC population through cell sorting. In addition, we compared the EEC phenotype and fundamental behaviors to a well-studied endothelial cell line, human umbilical vein endothelial cells (HUVECs). The EECs stained positively for classic phenotypic markers such as CD31, von Willebrand …

Improving The Diagnostic Process For Patients With Possible Bladder And Kidney Cancer: A Mixed-Methods Study To Identify Potential Missed Diagnostic Opportunities, Stephanie Archer, Sapphire Tan, James Brimicombe, Georgios Lyratzopoulos, Fiona M Walter

Faculty, Staff and Students Publications

Background: Patients with bladder and kidney cancer may experience diagnostic delays.

Aim: To identify patterns of suboptimal care and contributors of potential missed diagnostic opportunities (MDOs).

Design and setting: Prospective, mixed-methods study recruiting participants from nine general practices in Eastern England between June 2018 and October 2019.

Method: Patients with possible bladder and kidney cancer were identified using eligibility criteria based on National Institute for Health and Care Excellence (NICE) guidelines for suspected cancer. Primary care records were reviewed at recruitment and at 1 year for data on symptoms, tests, referrals, and diagnosis. Referral predictors were examined using logistic regression. …

Machine Learning Driven Index Of Tumor Multinucleation Correlates With Survival And Suppressed Anti-Tumor Immunity In Head And Neck Squamous Cell Carcinoma Patients, Germán Corredor, Sirvan Khalighi, Zelin Zhang, Bolin Song, Cheng Lu, Reetoja Nag, Vidya Sankar Viswanathan, Michael Gilkey, Kailin Yang, Shlomo A Koyfman, Deborah J Chute, Patricia Castro, James S Lewis, Anant Madabhushi, Vlad C Sandulache

Faculty, Staff and Students Publications

OBJECTIVES: Matching treatment intensity to tumor biology is critical to precision oncology for head and neck squamous cell carcinoma (HNSCC) patients. We sought to identify biological features of tumor cell multinucleation, previously shown by us to correlate with survival in oropharyngeal (OP) SCC using a machine learning approach.

MATERIALS AND METHODS: Hematoxylin and eosin images from an institutional OPSCC cohort formed the training set (D

RESULTS: MuNI correlated with overall survival. A multivariable nomogram that included MuNI, age, race, sex, T/N stage, and smoking status yielded a C-index of 0.65, and MuNI was prognostic of overall survival (2.25, 1.07-4.71, 0.03), …

Applying Normal Accident Theory To Ideological And Nation-State-Sponsored Cybercrimes, Thomas J. Holt, National Counterterrorism Innovation, Technology, And Education Center

Reports, Projects, and Research

This project aims to explore a new perspective on cyberattacks by applying normal accident theory, typically used to analyze complex system failures, to the realm of cybersecurity. The goal is to gain insights into the factors contributing to cyberattacks and identify potential strategies to prevent and mitigate them. Applying normal accident theory to cyberattacks reveals that while complete prevention is challenging, focusing on human and organizational aspects of cybersecurity can significantly reduce risks. Encouraging adherence to best practices and establishing cybersecurity audit and compliance entities are critical steps toward a more resilient cybersecurity landscape.

Predicting Postfire Sediment Yields Of Small Steep Catchments Using Airborne Lidar Differencing, James J. Guilinger, Efi Foufoula-Georgiou, Andrew B. Gray, James T. Randerson, Padhraic Smyth, Nicolas C. Barth, Michael L. Goulden

AES Faculty Publications and Presentations

Predicting sediment yield from recently burned areas remains a challenge but is important for hazard and resource management as wildfire impacts increase. Here we use lidar-based monitoring of two fires in southern California, USA to study the movement of sediment during pre-rainfall periods and postfire periods of flooding and debris flows over multiple storm events. Using a data-driven approach, we examine the relative importance of terrain, vegetation, burn severity, and rainfall amounts through time on sediment yield. We show that incipient fire-activated dry sediment loading and pre-fire colluvium were rapidly flushed out by debris flows and floods but continued erosion …

Real-Time, Deep-Learning Aided Lensless Microscope, Jacob T Robinson

Faculty, Staff and Students Publications

Traditional miniaturized fluorescence microscopes are critical tools for modern biology. Invariably, they struggle to simultaneously image with a high spatial resolution and a large field of view (FOV). Lensless microscopes offer a solution to this limitation. However, real-time visualization of samples is not possible with lensless imaging, as image reconstruction can take minutes to complete. This poses a challenge for usability, as real-time visualization is a crucial feature that assists users in identifying and locating the imaging target. The issue is particularly pronounced in lensless microscopes that operate at close imaging distances. Imaging at close distances requires shift-varying deconvolution to …

Exploring And Testing Wildfire Risk Decision-Making In The Face Of Deep Uncertainty, Bart R. Johnson, Alan A. Ager, Cody Evers, David Hulse, Max Nielsen-Pincus, John P. Bolte

Environmental Science and Management Faculty Publications and Presentations

We integrated a mechanistic wildfire simulation system with an agent-based landscape change model to investigate the feedbacks among climate change, population growth, development, landowner decision-making, vegetative succession, and wildfire. Our goal was to develop an adaptable simulation platform for anticipating risk-mitigation tradeoffs in a fire-prone wildland– urban interface (WUI) facing conditions outside the bounds of experience. We describe how five social and ecological system (SES) submodels interact over time and space to generate highly variable alternative futures even within the same scenario as stochastic elements in simulated wildfire, succession, and landowner decisions create large sets of unique, path-dependent futures for …

Racial Disparities In Mental Health Disorders In Youth With Chronic Medical Conditions, Stefan Kostelyna, Titilope Fasipe, Natalie Villafranco, Katherine E Cutitta, Keila N Lopez

Faculty, Staff and Students Publications

OBJECTIVE: To evaluate the association between race/ethnicity, poverty, and mental health in youth with chronic conditions.

STUDY DESIGN: A cross-sectional comparative study was performed using the records of a tertiary care center from 2011 to 2015.

INCLUSION CRITERIA: children aged 4-17 years with ≥1 hospitalization or emergency department visit. Exclusion criteria were those with arrhythmias or treatment with clonidine/benzodiazepines. The primary outcome variable was diagnosis or medication for anxiety, depression, or attention deficit hyperactivity disorder. The primary predictor variable was diagnosis of cystic fibrosis (CF), sickle cell disease (SCD), or congenital heart disease (CHD).

RESULTS: We identified 112 313 patients, …

Cellular And Extracellular Vaginal Changes Following Murine Ovarian Removal, Natasha M Faruqui, Swathi Balaji, Julie C E Hakim

Faculty, Staff and Students Publications

Loss of estrogen as a result of aging, pelvic cancer therapy, genetics, or eating disorders affects numerous body systems including the reproductive tract. Specifically, a chronic hypoestrogenic state fosters debilitating vaginal symptoms like atrophy, dryness, and dyspareunia. Current treatment options, including vaginal estrogen and hyaluronan (HA), anecdotally improve symptoms, but rectifying mechanisms are largely understudied. In order to study the hypoestrogenic vaginal environment, in particular the extracellular matrix (ECM), as well as understand the mechanisms behind current treatments and develop new therapies, we characterized a reliable and reproducible animal model. Bilateral ovariectomies (OVX) were performed on 9‐week‐old CD1 mice. After …

Asia’S Moment: Contextualizing The Rules Of The Corporate Governance Game, Dan W. Puchniak

Research Collection Yong Pung How School Of Law

Whether this century is Asia’s century is still open for debate. What is clear now, however, is that understanding corporate governance in Asia is a paramount issue of global importance. Asia is forecast to account for an astonishing 70% of global growth in 2023.

Lex Cryptographica Financiera, Rosa M. Lastra, J.G. Allen

Research Collection Yong Pung How School Of Law

The past year has witnessed significant growth in the size, and mainstream profile, of financial markets built on distributed ledger technology (“DLT”), in particular “blockchain”. In February 2021, the market capitalisation of the cryptoasset Bitcoin, which is built on the first operational blockchain, topped USD 1 trillion. So-called decentralised finance (“DeFi”), built mostly on the Ethereum blockchain, grew from less than USD 1 billion to over USD 80 billion in May 2021. Even if one adopts a sceptical posture towards these developments, “crypto” markets cannot be ignored by scholars or practitioners of financial and monetary law.

Spatial Mapping Of The Dna Adducts In Cancer, Elyse Bolterstein, Deborah Jebakumar, Michael M Ittmann, Valeria L Dal Zotto, Mohamed Shaban, Arun Sreekumar, Natalie R Gassman

Faculty, Staff and Students Publications

DNA adducts and strand breaks are induced by various exogenous and endogenous agents. Accumulation of DNA damage is implicated in many disease processes, including cancer, aging, and neurodegeneration. The continuous acquisition of DNA damage from exogenous and endogenous stressors coupled with defects in DNA repair pathways contribute to the accumulation of DNA damage within the genome and genomic instability. While mutational burden offers some insight into the level of DNA damage a cell may have experienced and subsequently repaired, it does not quantify DNA adducts and strand breaks. Mutational burden also infers the identity of the DNA damage. With advances …

Shinybioheat: An Interactive Shiny App To Identify Phenotype Driver Genes In Ecoli And Bsubtilis, Olivier Lichtarge

Faculty, Staff and Students Publications

SUMMARY: In any population under selective pressure, a central challenge is to distinguish the genes that drive adaptation from others which, subject to population variation, harbor many neutral mutations de novo. We recently showed that such genes could be identified by supplementing information on mutational frequency with an evolutionary analysis of the likely functional impact of coding variants. This approach improved the discovery of driver genes in both lab-evolved and environmental Escherichia coli strains. To facilitate general adoption, we now developed ShinyBioHEAT, an R Shiny web-based application that enables identification of phenotype driving gene in two commonly used model bacteria, …

Development Of A Comprehensive Staff Development Program About Outpatient Diabetes Clinic Care For Patients With Type 1 And Type 2 Diabetes Mellitus, Cynthia G. Sanders

Electronic Theses and Dissertations

The purpose of this DNP project was to evaluate if focused staff education about the many aspects of outpatient diabetes care has the potential to increase knowledge and impact attitudes about diabetes in staff providing care to patients with type 1 and type 2 diabetes mellitus. Diabetes is a disease with wide ranging implications, in terms of cost, consumer health, and quality of life, for populations worldwide, including the United States. It is critical that staff who participate in the care of patients with diabetes mellitus have a role-specific educational foundation to support their contribution to patient care. The researcher …

Learning Mindset Dimensions And Completion Status Of Tennessee Community College Students, Donna Sue M. Shellman

Electronic Theses and Dissertations

The purpose of this nonexperimental, quantitative study was to analyze relationships between three learning mindset dimensions (growth mindset; purpose and value; and sense of belonging) to retention and persistence to graduation among first-time, full-time Tennessee community college student graduates and nongraduates who attended one of 13 institutions in Fall 2019. In addition to comparing Tennessee community college graduates and nongraduates’ learning mindset dimensions, I analyzed student subgroups to explore those dimensions with regard to gender and race. Additional analyses included correlations between students’ growth mindset scores; purpose and value scores; and social belonging scores.

Analyses included Tennessee Board of Regents’ …

A Low Cost, Compact Electrochemical Analyzer Based On An Open-Source Microcontroller, Michael Kofi Darko Addo

Electronic Theses and Dissertations

Compared to other instruments for chemical analyses, electrochemical analyzers are relatively simple, inexpensive, easy to miniaturize and require little-to-no maintenance. However, like all commercially available instruments, commercial electrochemical analyzers like potentiostats primarily operate as black boxes with manufacturers providing little or no information about internal circuitry and programming. This practice can limit a researcher’s ability to develop new techniques or adapt an instrument for applications outside its typical use. In contrast, creators of open-source instruments release all the necessary information for reproduction of the hardware and software – minimizing such barriers to innovation in chemical analyses. Here, we report a …