Digital Commons Network^™

The Impact Of Sea-Level Rise On Coastal Wetlands Using In-Situ Mesocosm Experiments, Landscape Modeling, And Traditional Ecological Knowledge Mapping, Kelly San Antonio

Master's Theses

Sea-level rise is an escalating threat to coastal wetlands as increased inundation and saltwater intrusion can lead to lowered productivity, decreased biomass, and plant death – and ultimately land loss. In chapter one, I detailed the interactive effects of inundation and nitrogen on two commonly found saltmarsh species, Spartina alterniflora and Spartina patens. I examined productivity and metrics to these stressors using a controlled mesocosm experiment in the western channel of the Pascagoula River, Mississippi. I found varying strategies of growth between species and differing responses between the short- and long-term. Overall Spartina alterniflora performed better with increased inundation …

Ratflex: A Rom Device Used To Measure Post-Traumatic Joint Contracture In Rat Elbows, Ethan Riak

Mechanical Engineering and Materials Science Independent Study

During the fall 2023 semester, I worked in Dr. Lake’s musculoskeletal soft tissue lab. My main task was working on a device designed by previous students that is used to measure elbow range of motion in rats. The end goal of the device is to be able to detect differences in the range of motion between injured and uninjured rat elbows. The current protocol for comparing the range of motion of injured vs uninjured elbows requires that the rats be sacrificed and their elbows dissected for testing on a Biax machine. This device would allow for range of motion tests …

Elovanoid-N34 Modulates Txnrd1 Key In Protection Against Oxidative Stress-Related Diseases, Jorgelina M. Calandria, Surjyadipta Bhattacharjee, Sayantani Kala-Bhattacharjee, Pranab K. Mukherjee, Yuehan Feng, Jakob Vowinckel, Tobias Treiber, Nicolas G. Bazan

School of Graduate Studies Faculty Publications

The thioredoxin (TXN) system is an NADPH + H+/FAD redox-triggered effector that sustains homeostasis, bioenergetics, detoxifying drug networks, and cell survival in oxidative stress-related diseases. Elovanoid (ELV)-N34 is an endogenously formed lipid mediator in neural cells from omega-3 fatty acid precursors that modulate neuroinflammation and senescence gene programming when reduction-oxidation (redox) homeostasis is disrupted, enhancing cell survival. Limited proteolysis (LiP) screening of human retinal pigment epithelial (RPE) cells identified TXNRD1 isoforms 2, 3, or 5, the reductase of the TXN system, as an intracellular target of ELV-N34. TXNRD1 silencing confirmed that the ELV-N34 target was isoform 2 or 3. This …

Judicial Threats To Olmstead And The Americans With Disabilities Act, Jean Mangan, Andrea L. Dennis

Scholarly Works

The authors examine the U.S. Supreme Court decision in Olmstead v L.C. ex rel. Zimring and related Supreme Court rulings that could raise questions about the Americans With Disabilities Act's guarantee of care in integrated settings and about which governmental entity's interpretation should be respected when deciding whether a state has met its integration obligation. After reviewing statutes, administrative regulations, and judicial decisions, the authors conclude that Olmstead's integration mandate will likely stand, but actions should be taken to codify the rule in federal and state statutes so that governmental agencies will continue to have the authority to ensure compliance …

Epigenomic Mapping Reveals Distinct B Cell Acute Lymphoblastic Leukemia Chromatin Architectures And Regulators, Kelly R Barnett, Robert J Mobley, Jonathan D Diedrich, Brennan P Bergeron, Kashi Raj Bhattarai, Alexander C Monovich, Shilpa Narina, Wenjian Yang, Kristine R Crews, Christopher S Manring, Elias Jabbour, Elisabeth Paietta, Mark R Litzow, Steven M Kornblau, Wendy Stock, Hiroto Inaba, Sima Jeha, Ching-Hon Pui, Charles G Mullighan, Mary V Relling, Shondra M Pruett-Miller, Russell J H Ryan, Jun J Yang, William E Evans, Daniel Savic

Faculty, Staff and Student Publications

B cell lineage acute lymphoblastic leukemia (B-ALL) is composed of diverse molecular subtypes, and while transcriptional and DNA methylation profiling has been extensively examined, the chromatin landscape is not well characterized for many subtypes. We therefore mapped chromatin accessibility using ATAC-seq in primary B-ALL cells from 156 patients spanning ten molecular subtypes and present this dataset as a resource. Differential chromatin accessibility and transcription factor (TF) footprint profiling were employed and identified B-ALL cell of origin, TF-target gene interactions enriched in B-ALL, and key TFs associated with accessible chromatin sites preferentially active in B-ALL. We further identified over 20% of …

Monitoring Glucocorticoid Receptor In Plasma-Derived Extracellular Vesicles As A Marker Of Resistance To Androgen Receptor Signaling Inhibition In Prostate Cancer, Emanuela Gentile, Andrew W Hahn, Jian H Song, Anh Hoang, Peter D A Shepherd, Sumankalai Ramachandran, Nora M Navone, Eleni Efstathiou, Mark Titus, Paul G Corn, Sue-Hwa Lin, Christopher J Logothetis, Theocharis Panaretakis

Faculty, Staff and Student Publications

Disease progression following androgen ablation was shown to be associated with upregulation of the glucocorticoid receptor (GR). Longitudinal monitoring of GR expression in circulating extracellular vesicles (EV) may reflect changes in the tumor cell and facilitates detection of acquired resistance. We utilized LNCaP, LREX cells and a patient-derived xenograft, MDA PDX 322-2-6a, for in vitro and in vivo experiments. Plasma-derived EVs were isolated from patients with localized high-risk prostate cancer undergoing androgen ablation. The mRNA levels of GR in EVs and their responsive genes were detected by transcriptome analysis, qRT-PCR and the protein levels by Western blot analysis. We detected …

Self-Discrepancies In Mind Perception For Actual, Ideal, And Ought Selves And Partners, Oliver L. Jacobs, Farid Pazhoohi, Alan Kingstone

School of Psychology

Defining and measuring self-discrepancies in mind perception between how an individual sees their actual self in comparison to their ideal or ought self has a long but challenging history in psychology. Here we present a new approach for measuring and operationalizing discrepancies of mind by employing the mind perception framework that has been applied successfully to a variety of other psychological constructs. Across two studies (N = 265, N = 205), participants were recruited online to fill in a modified version of the mind perception survey with questions pertaining to three domains (actual, ideal, ought) and two agents (self versus …

Examining Policy Innovation Process And The Roles Of Policy Entrepreneurs: A Case Of Smart City Initiative In Khon Kaen, Thailand, Thitisak Duadsuntia

Dissertations and Theses

Innovation is a necessary process for public sector organizations and governments to adapt to social and economic changes. Innovation helps governments improve public service performance and address wicked challenges. Although the significance of public sector innovation has long been realized, how it occurs, and how it is influenced by contextual factors is not well explored. Particularly, policy innovation that emerges in an open and dynamic social system is understudied. Policy entrepreneurs mobilize policy change in their social systems, but their roles in a public sector innovation process still needs further investigation.

This study explores the policy innovation process and explicates …

“Once That Ball Goes Flat, What Are You Gonna Do?” How Being A Student-Athlete Uniquely Affects Black Men, Amaya S. Mcdonald

Capstones

With less experience in the world outside of sports as compared to their non-athlete peers, student-athletes are often left to find careers in other fields where they may be unprepared after college.This trend disproportionately affects Black male college-athletes, who make up a majority of the student-athletes on revenue sports teams, like basketball and football, which generate billions of dollars for academic institutions.

Interviews with former student-athletes, activists and educators reveal the source of this disparity and how the student-athlete role can affect a student's college experience, their own self-perception and their transition into a life without sports post-graduation. https://medium.com/@amayamcd24/once-that-ball-goes-flat-what-are-you-gonna-do-1f0baaa14cf4

The False Promise That Guilt-Free Flying Is Just Around The Corner, Amanda Braitman

Capstones

Airlines are spending big bucks advertising “sustainable aviation fuel,” but some experts say it's greenwashing.

https://docs.google.com/document/d/19ZejyJBgPGgleNXOWrHXKGF5WI1poQ8OyxSKg8PBNZI/edit?usp=sharing

Fs Social Justice Committee Agenda, Northern Illinois University

Faculty Senate Archives

No abstract provided.

The Effect Of The Circulation Design Of Buildings On Customer Satisfaction: Koya University Bank As A Case Study, Vian A. Shareef, Wezha H. Baiz, Soran K. Omer, Mohammed Awadh Jasim, Vian A. Shareef

Polytechnic Journal

The current study is an academic attempt to illuminate the impacts of the building circulation design of Koya University Bank on its customer satisfaction, and it is an exploratory study of customers’ opinions about the circulation designs of Koya University Bank.

The building circulation design includes six elements, such as pavements, main entrance doors, public corridors, waiting areas, comfortable seats, and parking spaces as independent variables, and customer satisfaction as a dependent variable of the study.

A questionnaire involving 16 items was set and distributed through an online link as the research sample. The population of the study is 163 …

A System For Multi-Level, Multi-Variate Embedding Framework For Risk Scoring, Hao Xu, Anurag Tangri, Chiranjeet Chetia

Defensive Publications Series

The present disclosure provides a novel system for multi-level multi-variate embedding framework for risk scoring. In the present disclosure, risk factors within each category are aggregated as one score using Level-1 embedding, while a global risk score is obtained using Level-2 embedding. The framework models different scores considering the interactive effects among different factors and scores. Also, any auxiliary variables that are important for global risk scoring can be easily integrated. The coefficients in multi-level embedding can be determined within one process based on historical data of user interested activities. A penalized loss is used to optimize the model structure …

Using The Anne Finch Digital Archive As A Teaching Text, Martha F. Bowden

ABO: Interactive Journal for Women in the Arts, 1640–1830

In the course of my teaching career, I have used the Anne Finch Digital Archive in two different classes in the English major at my university: the gateway and capstone courses. In the gateway course, it functions as one of several sites in a module on the Digital Humanities, and as a required text in the capstone course. The essay investigates the Digital Archive’s strengths both as an example of a high-quality digital humanities project and as a rich site for the investigation and analysis of Finch’s poetry. Assignment guidelines for the gateway module and the reading list for …

About Books: Birding In Full Battle-Rattle: A Conversation With Jonathan Trouern-Trend, Mark Lynch

Bird Observer

No abstract provided.

Massachusetts Important Bird Areas (Ibas) – The Central Region, Wayne Petersen, Brooke Stevens

Bird Observer

No abstract provided.

Breeding Birds Of The Ware River Watershed Important Bird Area (Iba), Mark Lynch

Bird Observer

No abstract provided.

Glass: A Deadly Conservation Issue For Birds, Daniel Klem Jr.

Bird Observer

No abstract provided.

Driving Birds Away, Christopher Reed

Bird Observer

No abstract provided.

Paintshop Pond, Wellesley, Clark Ewer

Bird Observer

No abstract provided.

J. A. Allen: The Shy And Retiring Giant, William E. Davis Jr.

Bird Observer

No abstract provided.

Making The Rounds, 1996, V2 N2, September 23, Advocate Aurora Health

Historical Documents - Combined

The Park Ridge Center, Chicago, IL: Issue of "Making the Rounds in Health, Faith, & Ethics", a publication from The Park Ridge Center for the Study of Health, Faith and Ethics, associated with Lutheran General Hospital. This issue features a case study from a patient with chronic atopic eczema with a responding commentary, an epilogue to the "Case Stories" series in this publication, and a follow up essay on xenotransplantation from a prior issue.

This is the final issue of this publication.

Ohio Recovery Housing: Resident Risk And Outcomes Assessment, Elyjiah Potter, Bivin Sadler

SMU Data Science Review

Addiction and substance abuse disorder is a significant problem in the United States. Over the past two decades, the United States has faced a boom in substance abuse, which has resulted in an increase in death and disruption of families across the nation. The State of Ohio has been particularly hard hit by the crisis, with overdose rates nearly doubling the national average. Established in the mid 1970’s Sober Living Housing is an alcohol and substance use recovery model emphasizing personal responsibility, sober living, and community support. This model has been adopted by the Ohio Recovery Housing organization, which seeks …

Deep Learning Image Analysis To Isolate And Characterize Different Stages Of S-Phase In Human Cells, Kevin A. Boyd, Rudranil Mitra, John Santerre, Christopher L. Sansam

SMU Data Science Review

Abstract. This research used deep learning for image analysis by isolating and characterizing distinct DNA replication patterns in human cells. By leveraging high-resolution microscopy images of multiple cells stained with 5-Ethynyl-2′-deoxyuridine (EdU), a replication marker, this analysis utilized Convolutional Neural Networks (CNNs) to perform image segmentation and to provide robust and reliable classification results. First multiple cells in a field of focus were identified using a pretrained CNN called Cellpose. After identifying the location of each cell in the image a python script was created to crop out each cell into individual .tif files. After careful annotation, a CNN was …

Investigation Into A Practical Application Of Reinforcement Learning For The Stock Market, Philip Traxler, Sadik Aman, Will Rogers, Allyn Okun

SMU Data Science Review

A major problem of the financial industry is the ability to adapt their trading strategies at the same rate the market evolves. This paper proposes a solution using existing Reinforcement Learning libraries to help find new strategies at a practical scale. Using a wide domain of ticker symbols, an algorithm is trained in an environment that better represents reality. The supplied decision-making algorithm is tested using recorded data from the U.S stock market from 2000 through 2022. The results of this research show that existing techniques are statistically better than making decisions at random. With this result, this research shows …

Impact Of Covid-19 On Recruitment Of High School Athletes To Di Track And Field, Christopher Haub, Jon Paugh, Alonso Salcido, Monnie Mcgee

SMU Data Science Review

Due to COVID-19, in the spring of 2020, the NCAA gave scholarship athletes an extra year of eligibility but did not increase the number of scholarships a school could issue. This potentially led to increased competition for scholarships as coaches could choose between retaining athletes or recruiting new ones. Furthermore, the Spring 2020 track and field season for high school seniors ended early – limiting high school athletes’ chance to get their best scores, and interrupting student to college interaction. This research looks specifically at the impact of COVID-19, and the resulting NCAA policy changes, on the recruitment to DI …

A Prompt Engineering Approach To Creating Automated Commentary For Microsoft Self-Help Documentation Metric Reports Using Chatgpt, Ryan Herrin, Luke Stodgel, Brian Raffety

SMU Data Science Review

Microsoft collects an immense amount of data from the users of their product-self-help documentation. Employees use this data to identify these self-help articles' performance trends and measure their impact on business Key Performance Indicators (KPIs). Microsoft uses various tools like Power BI and Python to analyze this data. The problem is that their analysis and findings are summarized manually. Therefore, this research will improve upon their current analysis methods by applying the latest prompt engineering practices and the power of ChatGPT's large language models (LLMs). Using VBA code, Microsoft Excel, and the ChatGPT API as an Excel add-in, this research …

The Impact Of The Covid-19 Pandemic On Faculty Productivity And Gender Inequalities In Stem Disciplines, Monnie Mcgee, Raag Patel, Roslyn Smith, Satvik Ajmera

SMU Data Science Review

Women and minorities within STEM disciplines historically encounter obstacles in academic advancement, a situation compounded by the COVID-19 pandemic due to the imposition of additional responsibilities like caregiving. This study meticulously probes into the pandemic's influence on traditional academic productivity metrics – specifically publication and submission frequency, citation volume, and leadership in scholarly entities, by employing Natural Language Processing to extract and analyze data from key journals within various scientific domains. A critical revelation from the research indicates a notable downturn in publication activity during 2021, potentially attributed to pandemic-induced disruptions, with a compensatory surge observed in 2022. Although a …

Predicting Land Reclamation Of Bond Released Surface Mines, Kendall Scott, Austin Webb, Tadd Backus, Robert Slater

SMU Data Science Review

Accurately measuring the recovery of released surface mines in the UnitedStates poses crucial challenges. This study aims to develop a prediction of land classification, that considers various environmental and coal mine variables. By utilizing this prediction, the researchers and environmentalists (specifically Appalachian Voices, the group heading this research) can better understand the relevant factors for successful reclamation. Efficient management of mine recovery is essential for environmental sustainability, regulatory compliance, and resource utilization. This study focuses on the Appalachian Forest area, which risks becoming a net carbon source (a place that emits more carbon than it absorbs) due to mine recovery. …

Utilizing Computer Vision For Automated Cellular Microscopy, Ahmed Awadallah, Ryan Bass, James Burke, Robert Price, John Santerre

SMU Data Science Review

Abstract. Post-acquisition data analysis of microscopy images is a vital yet time-consuming process for researchers. Quantitative fields such as biology and microbiology often require using images as primary data sources. Finding methods to automate this process would increase the throughput, quality, and reproducibility. This research aims to provide a novel end-to-end pipeline that reduces the workload on researchers in identifying cell cytoplasm and nuclei while creating a process that can scale to the researcher's needs. The proposed methodology utilizes various image-processing techniques to rapidly identify the boundaries of cells and nuclei, including filtering, thresholding, and deep learning. The results …