Digital Commons Network^™

Implementation Of An Opt-Out And Rapid Point-Of-Care Syphilis Testing Program For Pregnant Patients Presenting To The Emergency Department, Jeffrey D Klausner

Faculty, Staff and Student Publications

Background: Adult and congenital syphilis rates are rising in the United States. The aim of this pre- and post-implementation study was to determine whether implementation of an opt-out laboratory-based and rapid syphilis point-of-care testing program in the emergency department (ED) improves the detection and treatment of syphilis during pregnancy in a high-prevalence region.

Methods: This pre- and post-implementation study was conducted at the University of Texas Health Science Center, Houston, TX. During the pre-implementation phase (November 1, 2023-February 29, 2024), pregnant patients presenting to the ED underwent laboratory-based syphilis testing using the reverse algorithm only when clinically indicated. In the …

Advancing The Development Of Trip13 Inhibitors: A High-Throughput Screening Approach, Rae M Sammons, Soma Ghosh, Lacin Yapindi, Eun Jeong Cho, Faye M Johnson

Faculty, Staff and Student Publications

TRIP13, a promising target for cancer therapy, has been identified as a key regulator of the mitotic checkpoint. Overexpression of TRIP13 is associated with poor clinical outcomes in various cancers. Inhibition of TRIP13 has the potential to address therapeutic challenges in cancer, particularly in therapy-resistant and Rb-deficient cancers. Despite the potential therapeutic benefits of TRIP13 inhibition, the development of TRIP13 inhibitors has been hindered by the lack of a robust high-throughput screening (HTS) assay. We developed a luminescence-based biochemical assay for TRIP13 activity to address this challenge using the ADP-Glo detection system. This assay offers high sensitivity, low background signal, …

Aapm Task Group No 249b-Essentials And Guidelines For Clinical Medical Physics Residency Training Programs, Jonathon A Nye, Joseph P Dugas, William D Erwin, David P Gierga, Darryl G Kaurin, Ho-Ling Anthony Liu, Alphonso W Magri, Lynn N Rill, Leah K Schubert, Beth A Schueler, Irina Vergalasova, John Vetter, Brian D Wichman, Amy Shu-Jung Yu, Dandan Zheng

Faculty, Staff and Student Publications

The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies. The rapid growth of medical physics requires periodic review of the curriculum to remove outdated approaches, update established knowledge, and add emerging technologies. The goal of this document is to provide a reference standard for residency training program directors, training mentors, and residents to guide creation and/or optimization of their program's curriculum. The document …

International Multidisciplinary Consensus Recommendations On Clinical Application Of Three-Dimensional Visualization In Precision Surgery For Pediatric Liver Tumors, Mary T Austin, Chengli Liu, Hiroki Ishibashi, Karthik K Tappa, Huanmin Wang, Chuandong Sun, Yuntao Ma, Hongwei Xi, Jian Wang, Jianghua Zhan, Kyong Ihn, Mitsuo Shimada, Mingman Zhang, Mary E Brindle, Patrick B Thomas, Shigehisa Fumino, Tao Liu, Thom Lobe, Udo Rolle, Shan Wang, Xiaowen Zhai, Yoshinori Koga, Yoshiaki Kinoshita, Yuzuo Bai, Zhaozhu Li, Zhe Wen, Weikang Pan, Krysta M Sutyak, Pier C Giulianotti

Faculty, Staff and Student Publications

Background: Pediatric liver tumors are predominantly primary malignant tumors, and complete tumor resection with sufficient preservation of liver tissue is crucial for improving prognosis. However, due to the delicate anatomical structure of the pediatric liver and the relatively large size of the tumors, especially in difficult cases, the surgical challenges are substantial. While precision liver surgery are widely applied in clinical practice, pediatric cases require more customized approaches. The application of three-dimensional (3D) visualization technology is crucial for enhancing surgical accuracy, allowing for precise preoperative planning and intraoperative guidance.

Methods: This consensus was collaboratively developed by 36 experts from eight …

Implementation Mapping To Guide Adoption Of A Semi-Structured Intraoperative Anesthesia Handoff Tool, Adlai Arandela

Faculty, Staff and Student Publications

There frequently exists a gap between known best practices and real-world methods. Closing this gap involves thoughtful implementation, typically involving multiple implementation strategies. Implementation mapping is a technique that links the innovation being implemented with potential barriers to implementation and connects these barriers to the strategies that form the implementation plan. This study demonstrates the application of implementation mapping to guide the adoption of the Epic Health Systems Intraoperative Anesthesia Handoff Report. The objective is to create a comprehensive implementation plan tailored to the anticipated challenges of the local environment. There are five steps in implementation mapping: (1) performing a …

Alterations In Gut Microbiome Composition And Increased Inflammatory Markers In Post-Covid-19 Individuals, Tatiana Barichello, Bruno Kluwe-Schiavon, Laura A Borba, Lucas C Pedro, Flávia S Niero, Laísa N Dos Santos, Letícia M Leonardo, Zuleide M Ignácio, Rodrigo Morales, Luciane B Ceretta, Gislaine Z Reus

Faculty, Staff and Student Publications

Dysfunctions in the immune system and alterations in the microbiome composition following SARS-CoV-2 infection contribute to persistent neurological issues observed in long COVID-19 survivors. We hypothesize that alterations in the gut microbiome composition and peripheral inflammatory profile following COVID-19 may play pivotal roles in behavior changes among individuals experiencing long-term illness. This cross-sectional study included a sample of post-COVID-19 and non-COVID-19 subjects. We assessed the presence of psychiatric conditions utilizing standardized diagnostic criteria, Hamilton Rating Scale for Anxiety (HAM-A), Hamilton Rating Scale for Depression (HAM-D), Biological Rhythms in Neuropsychiatry Assessment Interview (BRIAN), and Functional Assessment Short Test (FAST). Plasma samples …

Tracing My Roots: An Exploratory Data Visualization And Analysis Of Jewish Immigration And Assimilation To New York City, Jamie E. Gelberg

Dissertations, Theses, and Capstone Projects

As my Capstone, I explored the complex process of immigrant assimilation to New York City from the late 19th century and beyond through a personal lens, using my Ashkenazi Jewish family as a case study.

I outlined and analyzed relevant demographic data from the US Census Bureau, Berman Jewish DataBank, and other sources to understand New York City during this period and how Jewish immigrants fit into the story. I focused on my family history, immigration and settlement, social assimilation, and economic status. I also incorporated personal narratives from my family history from 3 generations. These narratives help provide context …

Fracture Patterns In Craniofacial Gunshot Wounds: A Seven-Year Experience, Sean P Mckee, Tang Ho

Faculty, Staff and Student Publications

Objective: To characterize facial fracture patterns and understand predictors of surgical repair and LOS with the objective of assisting providers in managing and understanding these complex injuries.

Study design: This is a retrospective cohort chart review study.

Methods: A retrospective review was conducted for patients admitted with gunshot wounds (GSWs) to the head, neck, or face between January 2013 and March 2020 at a level one trauma tertiary care hospital. Univariate and multivariate analysis were performed to identify associations with surgical repair and LOS.

Results: Of the 578 patients with head, neck, or facial GSWs, 204 survived and sustained facial …

Assessment Of Contextualized Reinforcement Pathology In A Community Sample Of Young Adult Substance Users, Sara Weidberg

Faculty, Staff and Student Publications

Background: Alcohol, tobacco, and cannabis are the most commonly used substances among young populations, often leading to polysubstance use, which correlates with problematic consumption and adverse health outcomes. The contextualized reinforcer pathology (CRP) model explains addictive behaviors through several constructs, including the following: drug demand, delay discounting (DD), and substance-free and substance-related reinforcement. Most previous studies have focused on a single CRP construct and the couse of only two substances. This study aimed to characterize three subgroups of young adults reporting past month use of alcohol only, alcohol + tobacco or cannabis, and alcohol + tobacco + cannabis, in terms …

The Macrophage Sterol Transport Protein Orp2 Promotes Cholesterol Efflux And Prevents Foam Cell Formation And Atherosclerosis, Chenxi Liang, Jinye Tang, Yidan Ma, Lin Liu, Mingqi Zheng, Hongyuan Yang, Mingming Gao

Faculty, Staff and Student Publications

Cholesterol-loaded macrophage foam cells are a key feature of atherosclerotic plaques. Oxysterol-binding protein-related protein 2 (ORP2) facilitates the transport of cholesterol from lysosomes to the plasma membrane in cultured cell lines. However, the role of ORP2 in macrophages and its involvement in atherosclerosis remain unclear. In this study, we found ORP2 expression was reduced in atherosclerotic vessels and in macrophages exposed to oxidized LDL (ox-LDL). Myeloid-specific human ORP2 overexpression (hORP2MOE) mice were generated and crossed with atherosclerotic-prone ApoE−/− mice and then fed a high-fat diet (HFD) to induce atherosclerosis. Our results showed that myeloid-specific hORP2 overexpression significantly reduced the atherosclerotic …

Perceptions Of The Intensity Of Heart Failure Medications Among Hospitalized Older Adults: A Pilot Qualitative Study, Min Ji Kwak

Faculty, Staff and Student Publications

Background: Guidelines for heart failure (HF) management recommend high target doses for medications. These targets are based on standardized dosing regimens that rarely consider the complex challenges faced by older patients. However, little is known about such challenges perceived by older adults. We assessed older adults' perceived challenges with HF medication utilization, which may guide a more patient-centered definition of the target intensity for HF medications.

Methods: We conducted a pilot qualitative study using one-on-one, semi-structured interviews with older adults. We included patients over the age of 65 years admitted to the acute cardiac care units (cardiac intensive care unit …

Design Of Conquest, A Novel, Randomized, Placebo-Controlled, Phase 2b Platform Clinical Trial To Investigate New Treatments For Patients With Early Active Systemic Sclerosis With Interstitial Lung Disease, Gregory Gordon

Faculty, Staff and Student Publications

Objective: Safe, effective therapies are urgently needed for patients with systemic sclerosis. However, clinical trial recruitment is challenging given the limited number of people with systemic sclerosis and further restrictions imposed by eligibility criteria. Innovative approaches are needed to accelerate development of new therapies. This article describes the rationale and trial design for CONQUEST (NCT06195072), a novel platform clinical trial sponsored by the Scleroderma Research Foundation, a not-for-profit organization.

Methods: CONQUEST is a multicentre, double-blind, randomized, placebo-controlled, Phase 2b platform trial evaluating the efficacy, safety and pharmacodynamics of multiple investigational products to treat early active systemic sclerosis with …

Baseline Predictors Of Responders To Auricular Point Acupressure In Chronic Low Back Pain, Claudia M Campbell, Johannes Thrul, Xinran Huang, Paul Christo, Constance M Johnson

Faculty, Staff and Student Publications

Background: Chronic low back pain (cLBP) is a major cause of disability, with varied patient responses to treatments. Auricular point acupressure (APA) has shown potential as a non-pharmacological intervention, but individual responses may differ significantly.

Objective: This study aimed to determine the predictability of baseline characteristics, including functional disability, symptom severity, and treatment expectancy, on clinically significant responses to APA in reducing pain and improving function.

Methods: A secondary analysis was performed using data from a randomized controlled trial with 263 cLBP patients. Participants were randomly assigned to targeted APA (T-APA), non-targeted APA (NT-APA), or to a control group. APA …

The Density Of Virgin, Consumer And Environmental Plastics: An Investigation Using Gas Displacement Pycnometry, Andrew Turner, Katie Jones, Montserrat Filella

School of Geography, Earth and Environmental Sciences

Density is a fundamental property of plastics and is particularly significant in determining the transport and fate of waste plastics that enter aquatic systems. However, densities are rarely determined in the environmental literature and values employed for modelling or impacts are often unsourced or derived from secondary databases. In this study, we employ helium displacement pycnometry to determine the skeletal densities of non-porous plastics whose polymer composition had been established from manufacturer's data, resin codes or Fourier transform infrared spectrometry. Two independent, collaborative laboratories, providing measurements within 3.5 % of each other and with precisions of <1 % (as relative standard deviation), analysed a total of 42 virgin, consumer and environmental plastics consisting of ten common polymer types. Measured densities of plastics in all categories, and most notably for polybutylene terephthalate, polyethylene terephthalate, polypropylene and polyvinyl chloride, were often outside the ranges reported by a comprehensive online resource. Possible reasons for discrepancies include the occurrence of dense additives (evaluated by X-ray fluorescence analysis), the presence of inaccessible microscopic pores below a laminated surface, contamination of the main polymer by a secondary one, and structural changes on weathering. Regardless of precise causes, most results suggest that individual polymers have a broader range of densities than is generally published or considered in the literature. Accordingly, and in particular where buoyancy is critical, more precise, sample-specific measurements are recommended.

Alice’S Patent Puzzle: Unlocking Patent Eligibility For Diagnostic Methods Within Wonderland’S Faulty Two-Step Framework, Anjali Dhamsania J.D. Candidate

Vanderbilt Journal of Entertainment & Technology Law

As it stands today, diagnostic tests and their methods are largely unpatentable. In 2012, the Supreme Court, in Mayo Collaborative Services v. Prometheus Laboratories, Inc., redefined the scope of patent subject matter, leaving a profound impact in the context of medical diagnostics. The subsequent decision by the Court in Alice Corporation v. CLS Bank International two years later significantly expanded the range of judicially created exceptions to statutory patent eligibility criteria to encompass “abstract ideas,” solidifying this “Alice-Mayo” framework as the definitive test to determine patent-eligible subject matter.

But this shift has made it exceedingly difficult to secure diagnostic …

Applying The Public Forum Doctrine To Public Official And Campaign Social Media Accounts, Jonathan Peters, Skylar Bandoly

Vanderbilt Journal of Entertainment & Technology Law

The US Court of Appeals for the Second Circuit ruled in the 2019 case Knight First Amendment Institute at Columbia University v. Trump that the @realDonaldTrump Twitter account was a designated public forum, making it a First Amendment violation for President Trump to block users from it on the basis of their viewpoints. A few years later, in the 2024 case Lindke v. Freed, the US Supreme Court established a two-part test to determine whether a public official’s social media activity constituted state action under 42 U.S.C. § 1983. This Article reviews these and related cases to explore—in the context …

Spatially Continuous Mapping Of Pre-Fire Fuel Characteristics With Imaging Spectroscopy And Lidar For Fire Emissions Modeling, Clare M. Saiki, Dar A. Roberts, E. Natasha Stavros, Andrew T. Hudak, Nancy H. F. French, Olga Kalashnikova, Et. Al.

Michigan Tech Publications

Fuels are a large source of uncertainty in fire emissions estimates due to variability in the physical and chemical properties of fuels and how they are represented. These uncertainties can be addressed using imaging spectroscopy and lidar data, that provide observations of the chemical and physical traits and spatial distribution of vegetation. Combined with ground fuel measurements, these data provide information on fuel distribution and quantity important for mapping and modeling fire effects. In this study, we present a methodology to develop models and continuous maps of pre-fire fuel characteristics for use in fire emissions modeling. We first addressed any …

Reference Correlations For The Density And Viscosity Of Molten Alkali And Alkaline Earth Fluoride Salts, A. Birri, R. Chesser, N. Termini, J. C. Numbers, Kevin Garland, M. A. Rose

Michigan Tech Publications

While there is a significant body of literature pertaining to thermophysical property measurements of molten salts, there is often a wide degree of variability among independent measurements of the same compounds. As such, the scientific community benefits greatly from an unbiased, independent assessment of duplicate datasets, so that reference correlations which describe these thermophysical properties as functions of temperature can be determined and then commonly used by researchers, scientists, and engineers. With regard to molten fluoride compounds, a significant time has elapsed since density and viscosity reference correlations have been determined; Janz conducted the most recent effort, in 1988, to …

Multi-Point And Multi-Station Orbit Propagation For Non-Functional Drifting Geo Satellites, Hritik Mitra

Theses

Currently, there are thousands of man-made space objects that are orbiting the Earth. These satellites serve a host of essential purposes (scientific research, technical applications, services) and they are all required to remain within their mission parameters. Most critical for them is to maintain the orbital parameters that are specified to achieve a particular mission’s objectives. If a satellite deviates beyond a certain limit, there is not only a risk of mission failure but there is a major hazard for possible collisions with other objects such as active satellites, space debris and even natural objects in some cases. There is …

Investigation And Prediction Of Excessive Water Production In Bottom Water-Drive Naturally Fractured Reservoirs Using Machine And Deep Learning, Sami Abderraouf Belkhir

Theses

Naturally Fractured Reservoirs (NFRs) are characterized by dual-porosity and dual-permeability systems, posing significant challenges in managing water production due to highly conductive fracture networks that facilitate rapid water migration from bottom aquifers, often bypassing oil stored in the matrix, thus resulting in early water breakthrough and water channeling phenomena. The main objective of this thesis is to develop and validate deep learning and machine learning models to predict water production, water breakthrough time (tbt), and ultimate water cut (WCult) in NFRs, thereby enabling more effective reservoir management strategies. This work also aims to evaluate the sensitivity of water behavior to …

Measurement And Improvement Of Photon Identification Efficiencies Using Machine Learning Techniques In The Atlas Detector At The Lhc, Abdulla Esam Mahboub

Theses

Photons play a crucial role in numerous analyses at the Large Hadron Collider (LHC), particularly in studies like the Higgs boson decay to two photons. Precise photon identification is essential for enhancing the sensitivity and accuracy of such measurements. This thesis focuses on the development of a machine learning (ML)-based photon identification algorithm to improve the photon identification efficiency within the ATLAS detector, using a Deep Neural Network (DNN) approach. The primary goal is to boost photon identification efficiency by using advanced neural network techniques. Traditional photon identification relies on cuts applied to shower shape variables, which can limit the …

Exploring The Quality Of Professional Development In Addressing Challenges With Behavior Management Of Special Needs Students In Inclusive Classrooms: An Instrumental Case Study, Reem Hussein Abuwatfa

Theses

Inclusive education has become a major educational priority globally and within the United Arab Emirates (UAE), driven by policies promoting the full participation of students with special educational needs (SEN) in inclusive classrooms. This study explores how elementary-level general education teachers perceive the quality of professional development (PD) in addressing their challenges with behavior management of students with SEN in inclusive classrooms. A qualitative case study approach was used, utilizing semi-structured interviews. The findings indicated that teachers face challenges from the behavioral issues of SEN students in inclusive classrooms, affecting both typical peers and teachers. Moreover, teachers had mixed perceptions …

Associations Between Vitamin D Deficiency And Sociodemographic Factors, Lifestyle Behaviors, And Metabolic Conditions: A Cross-Sectional Study From The Hnnhs In Greece, Asmae Mohamad Sadek

Theses

Vitamin D deficiency (VDD) is a widespread global health concern associated with various sociodemographic, lifestyle, dietary, and metabolic factors. While previous studies examined VDD in Greece, few provided a comprehensive analysis across multiple determinants using representative national data. This study aimed to assess the prevalence and predictors of VDD among Greek adults and to examine its associations with sociodemographic, dietary, behavioral, and metabolic variables using data from the Hellenic National Nutrition and Health Survey (HNNHS). A cross-sectional analysis was conducted among 978 adults (≥19 years) from the HNNHS. Serum 25-hydroxyvitamin D [25(OH)D] concentrations < 20 ng/mL were defined as deficient and ≥20 ng/mL as normal. The median age of participants was 40.2 years, and 62.0% were female. The overall prevalence of VDD was 46.0%, with the highest rate observed among adults aged ≥60 years (62.2%). VDD was significantly associated with older age (p < 0.001), retirement status (62.9% among retired; p < 0.001), low and sedentary physical activity (32.7% and 32.6% vs. 50.8% among highly active; p < 0.001), higher HDL (median 52.0 vs. 49.0 mg/dL among VDD vs Normal; p = 0.001), elevated serum calcium (median 9.4 vs. 9.2 mg/dL among VDD vs Normal; p = 0.020), and lower insulin levels (median 7.5 vs. 8.0 μIU/mL among VDD vs Normal; p = 0.044). Dietary intake (total energy and macronutrients) and body composition were not significantly associated with VDD. In the multivariate model, significant independent predictors of VDD included being retired (AOR = 2.383; 95% CI: 1.596–3.558; p < 0.001), having higher serum calcium levels (AOR = 1.563; 95% CI: 1.078–2.266; p = 0.019), and higher HDL levels (AOR = 1.016; 95% CI: 1.005–1.027; p = 0.001). Physical activity level was also a key determinant; participants classified as sedentary or low active had significantly higher odds of deficiency compared to highly active individuals (AOR = 0.468; 95% CI: 0.319–0.690; p < 0.001). This counterintuitive result may be influenced by factors such as increased indoor physical activity, and warrants further investigation. Dietary intake and body composition were not significantly associated with VDD. The findings underscore the importance of incorporating sociodemographic and lifestyle factors into prevention strategies. Interventions should particularly focus on older adults, retired individuals, even if they have higher HDL and calcium levels, and are physically active.

Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori

Theses

Traditional experimental approaches in industrial processes, such as Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy, thermogravimetric analysis (TGA), and well-drilling operations, are often constrained by time, cost, and operational limitations. This research explores the application of data-driven Machine Learning (ML)-based predictive modeling to improve efficiency and reduce dependency on resource-intensive experimentation. The study develops ML models for three distinct processes: FTIR intensity prediction of bitumen thermal cracking products, thermal degradation of Medium-Density Fibreboard (MDF) using TGA data, and Rate of Penetration (ROP) prediction in petrochemical industry. Six algorithms: Linear Regression (LinReg), Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Gradient …

Design Of A Deployable Rolled Antenna System For Satellite Applications, Ashwaq Abdulla Alkaabi

Theses

This project presents the development of a deployable Synthetic Aperture Radar (SAR) antenna designed for a 16U CubeSat platform. The primary challenge in SAR satellite design lies in the need for large antennas to achieve high-resolution imaging, which traditionally results in increased satellite size and cost. To address this, the proposed solution employs a scalable 4 × 21 patch antenna array operating at 1.275 GHz, fabricated on a flexible Polyimide-based Printed Circuit Board (PCB). This flexible PCB allows the antenna to safely roll during deployment, avoiding damage and facilitating compact storage. However, Polyimide poses challenges due to higher losses and …

The Relationship Between Lifetime Trauma Exposure And Psychosis In A Multi-Country Case-Control Study In Africa, Anne Stevenson, Supriya Misra, Engida Girma, Dickens Akena, Melkam Alemayehu, Amantia Ametaj, Bizu Gelaye, Stella Gichuru, Symon Kariuki, Lukoye Atwoli

Internal Medicine, East Africa

Background: Exposure to traumatic events is a known risk factor for psychosis. Additionally, psychosis may be a risk factor for exposure to traumatic events. There are little data on the relationship between traumatic events and psychosis in sub-Saharan Africa, particularly in large, cross-country samples using the same instrument.

Methods: In a case-control study, 21,606 adults were recruited with psychosis (cases) and 21,329 adults without any history of psychosis (controls) in Ethiopia, Kenya, South Africa, and Uganda from 2018 to 2023 (n = 42,935). Lifetime trauma exposure was assessed using the Life Events Checklist-5. Regression models included the: i) prevalence of …

Numerical Methods For Approximating Line Integrals Over Implicitly Defined Curves, Raghd Alsaadawi

Theses

In this thesis, we develop and investigate a predictor-corrector method for the numerical tracing of implicitly defined curves. The study begins with the introduction of modified numerical integration techniques — specifically, the modified trapezoidal and modified midpoint rules — for evaluating the line integral of a vector field along an implicitly defined curve. Furthermore, we explore higher-order methods aimed at improving the accuracy of such integrals. Theoretical and numerical results, including asymptotic error expansions, are presented to support the analysis. In addition, several numerical experiments are carried out to illustrate the effectiveness and robustness of the proposed approaches.

Wavelet-Based Multi-Step Methods For Systems Of Differential Equations, Rashad Assad Hijji

Theses

Wavelets have been widely used in many areas of engineering and mathematics, including the development of multistep algorithms to solve initial value problems (IVPs) in the context of the Galerkin method using Daubechies' wavelets. The main scope of our work is to build a comprehensive framework for solving Systems of Differential equations using the compactly supported wavelets proposed by I. Daubechies. Wavelets are mathematical functions that decompose data into distinct frequency components, and each element is analyzed with a resolution that matches its scale. Compact support of Daubechies wavelets is key in allowing them to be computationally efficient for high-dimensional …

Governing Global Gig Platforms In The Age Of Ai: When The Manager Is An Algorithm, David S. Lee, Felicia F. Chen Prosecution Development Fellow

Vanderbilt Journal of Entertainment & Technology Law

Gig workers are vulnerable to discrimination from the sharing economy platforms on which they work. This challenge is worsened by these platforms’ dependence on algorithms and artificial intelligence (AI) systems, which are used to control and direct gig workers. These platforms also often operate globally, and discrimination embedded within their algorithms can be magnified when exported into new cultural contexts.

These platforms exercise significant influence over gig workers, but their for-profit nature means that their boards and directors often prioritize shareholder value over gig worker protection. This tension has led to intense debates, as platforms attempt to minimize the rights …

Predictors Of Nursing Students' Stress, Anxiety, And Depression During The Covid-19 Pandemic In A Hispanic-Serving University In South Texas: A Cross-Sectional Study, Maria I. Diaz, Eleftherios Gkioulekas, Nancy Nadeau

School of Mathematical & Statistical Sciences Faculty Publications

Background: In nursing education, there have been several studies on the impact of the COVID-19 pandemic on the ability of nursing students to cope while in nursing school.

Purpose statement: The goal of this study is to assess undergraduate nursing students' support mechanisms as predictors of stress, anxiety, and depression during the COVID-19 pandemic within a Hispanic-serving institution in South Texas.

Methods: Across-sectional design was used in this study. An online survey using self-reported questionnaires was used to gather data from an undergraduate nursing student cohort during the Fall 2021 semester. Linear regression was used to identify the predictors of …