Digital Commons Network^™

Hot Birds, Phil Brown, Scott Landry

Bird Observer

No abstract provided.

Making The Rounds, 1996, V1 N15, April 8, 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Historical Documents - Combined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 has a feature on narrative ethics, and an interview with Martha Holstein about societal responsibility and children.

Making The Rounds, 1996, V1 N16, April 22, 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Historical Documents - Combined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 has a feature on the ethics of patient confidentiality in the face of a disaster, as well as medical news, and a summary of recent publications on relgion, health, and aging.

Making The Rounds, 1996, V1 N17, May 5, 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Historical Documents - Combined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 roundtable discussion on the new legal status of physician-assisted suicide in the state of Washington.

Making The Rounds, 1996, V1 N18, May 20, 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Historical Documents - Combined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 has a feature case study about a patient exploring alternative treatments, as well as a commentary from a holistic physician. There is also a media round-up about the court case in Washington covered in the previous issue.

Making The Rounds, 1996, V1 N19, June 3, 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Historical Documents - Combined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 an interview with a administrator at Lutheran General Hospital and the current changes in nursing, as well as commentary about a ethics and clinical trials.

Making The Rounds, 1996, V1 N20, June 17, 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 has a feature on changes to Medicare and Medicaid and their impact on women, children, and the elderly.

Making The Rounds, 1996, V1 N22, August 12, 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 MS and her difficulty with finding sympathetic and comprehensive medical care, and a responding commentary to her story. There is also an index to all articles in the previous 22 issues of volume 1 of this publication.

Making The Rounds, 1996, V2 N1, September 9, 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 has a feature on nursing and euthanasia, medical news, and book reviews.

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 …

Identifying Locations Of Drug Overdose In Las Vegas To Implement The Cardiff Violence Prevention Model, John Girard, Shikha Pandey, Zack Bunn, Chris Papesh, Jacquelyn Cheun Phd, Ying Zhang

SMU Data Science Review

This paper will provide an innovative approach to drug overdose prevention programs. Using data from Las Vegas emergency departments, this paper will analyze geospatial trends of drug overdoses. Leveraging the Cardiff Violence Prevention Model, the information is shared with local law enforcement agencies and decision makers to empower them to make evidence-based strategies. This paper highlights the efficacy of a data-driven model in addressing public health issues and underscoring its ability for even broader implementation in urban settings. Findings will suggest significant implications for policymaking, crime prevention, and public health initiatives, demonstrating a step towards a safer Las Vegas.

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 …

Differentiation Of Human, Dog, And Cat Hair Fibers Using Dart Tofms And Machine Learning, Laura Ahumada, Erin R. Mcclure-Price, Chad Kwong, Edgard O. Espinoza, John Santerre

SMU Data Science Review

Hair is found in over 90% of crime scenes and has long been analyzed as trace evidence. However, recent reviews of traditional hair fiber analysis techniques, primarily morphological examination, have cast doubt on its reliability. To address these concerns, this study employed machine learning algorithms, specifically Linear Discriminant Analysis (LDA) and Random Forest, on Direct Analysis in Real Time time-of-flight mass spectra collected from human, cat, and dog hair samples. The objective was to develop a chemistry- and statistics-based classification method for unbiased taxonomic identification of hair. The results of the study showed that LDA and Random Forest were highly …

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 …

Learn Twice Invited Brief: Experiential Learning, Daniel Holland, Jim Cannon

Huntsman School of Business Teaching Scholarship Series

This article provides a review of the concept of experiential learning, an overview of the theory, its benefits, and a range of examples both inside and outside the classroom. It concludes with a discussion of the steps that teachers can take to create experiential learning opportunities.

2023 Conference Program, Georgia Southern University

Georgia Association for Positive Behavior Support Conference

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Automatically Highlighting Browser Tabs Related To Current Tab, Karthik Srinivas, Ajay Prasad, Ramprasad Sedouram

Defensive Publications Series

Users that have a large number of open browser tabs can struggle to identify tabs that are relevant to their current task. While tab search functionality is available in some browsers, such functionality does not automatically identify relevant tabs. This disclosure describes a web browser that, with user permission, determines the user’s current context based on the currently active browser tab and automatically highlights other relevant tabs that are currently open. The content and metadata of browser tabs are analyzed, e.g., using on-device machine learning techniques, to identify the relevant tabs. The relevant tabs can be highlighted with different colors …

Approaches For Incorporating A Variety Of Metadata In Transformer Operation, Antonio Gulli, Afroz Mohiuddin, Samer Hassan

Defensive Publications Series

A plain transformer model typically leverages only one piece of metadata - position encoding - directly in the transformer model. The use of transformers typically involves expensive and complex external scaffolding before or after output generation to avoid issues such as hallucination, irrelevance, etc. This disclosure describes techniques to incorporate a variety of metadata types into the native architecture of transformer models. The additional signals can help avoid hallucinations, improve relevance, and minimize the need of expensive external scaffolding. Generalizing transformer operation to incorporate a diversity of metadata can be achieved in various ways such as adding a metadata embedding …

Identifying Aggregators Systematically Using Transactional Attributes (Card Acceptor Id Or Caid), Basudeb Ghosh Visa, Prithwiraj Mitra Visa

Defensive Publications Series

A method, system, and computer program product are provided for identifying aggregators using transaction data. The system may include at least one processor programmed or configured to receive transaction data comprising a card acceptor identifier (CAID) and a card acceptor name. The at least one processor may identify a plurality of CAIDs included in the transaction data and for each CAID, determine a number of distinct card acceptor names corresponding to the CAID. The at least one processor may then identify a first CAID having a plurality of distinct card acceptor names corresponding to the first CAID. The at least …

Sensory, Faiz Ahmed Visa, Sudarshan Krishnakumar Gaddam Visa

Defensive Publications Series

The methods and system disclosed in present disclosure provides a generic sensor library which comes with some generic sensors and also provides a default controller to combine the sensor and the respective action that need to be performed. The sensor library provides basic checkpointing mechanism to provide the restart capability to the sensor. Though the sensor library provides the defaults which is applicable for most of the cases but user has the option to extend as well as implement their own sensors, checkpointing mechanism, trigger, etc. and use the default controller with these custom components. The present disclosure provides the …

Voice-Activated Selfie

Defensive Publications Series

The subject disclosure provides for an extended reality (XR) wearable device that may capture a mixed reality self-portrait and share the self-portrait to a social media platform. The disclosure concerns the problem of conveniently capturing and sharing digital self-portraits. The disclosed solution addresses the problem by configuring a set of XR smart glasses to, based on a voice command of a user, capture raw real, virtual, or mixed images; process the raw images into a self-portrait that includes real, virtual, or mixed elements; and share the self-portrait to a social media platform.

The Overture! Then Is Here-And-Now: Hindsight Is Twenty, Twenty?, Elena Kydd

Music Therapy Theses

My existence and presence as a Black woman and graduate scholar in music therapy have allowed me to share my experience of racial trauma and oppression in the hallways of GCSU’s music therapy program. Autoethnography is the method I use to write my thesis on the relationships between Blackness, pedagogy, and music therapy. Thus, I perform an evocative autoethnographic study that allows me to share my personal experience of racial trauma and oppression within the culture of music therapy and to critique the larger social structures of whiteness that disenfranchise and dominate me and other Black student music therapists (SMTs). …

Carlene Smith Interview 1, Carlene Smith

Remembering Central State Hospital

Carlene Smith worked as a nurse at Central State Hospital in Milledgeville, Georgia from 1962-1995, when she retired. This interview talks about her experience as an employee.

Medical School Watercooler Newsletter - December 12, 2023, Lindsey Lyle

Watercooler Newsletter

This is the December 12, 2023 edition of the Frederick P. Whiddon College of Medicine's newsletter - Watercooler.

Contents Include:

• Audia receives NIH grant to study antibiotic-resistant bacteria
• Reconstructive urologist joins USA Health and Whiddon COM
• Perkins awarded $16 million grant to help address national physician shortage
• Alumni, faculty participate in medical mission trip
• Doctoral students receive inaugural Godwin Emerging Scholars Endowed Awards
• USA Student-Run Free Clinic receives grant from CeraVe