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Front Matter Artizein December 2021, Peter London

Artizein: Arts and Teaching Journal

Front Matter for Artizein: Arts & Teaching Journal December 2021. Includes table of contents.

Full Issue Artizein_December 2021, Peter London

Artizein: Arts and Teaching Journal

A full PDF of the themed Artizein: Arts & Teaching Journal issue entitled 'Stories that Mattered' edited by Peter London.

Rocket Learn, Daanesh Ibrahim, Jules Stacy, David Stroud, Yusi Zhang

SMU Data Science Review

Abstract. This paper covers the development, testing, and implementation of Reinforcement Learning methods designed to autonomously learn and optimize Rocket League play. This study aims to analyze and benchmark model frameworks commonly used in Reinforcement Learning applications. These models can be applied to tasks ranging in difficulty from simple to superhumanly complex, and this study will begin with and build upon simple models performing simple tasks. It will result in complex models performing difficult tasks. Models will be allowed to train autonomously on the game using mass parallelization to expedite training times with the goal of maximizing reward function scores. …

Real-Time Voice Biometric Speaker Verification, Inderbir Dhillon, Jason Rupp, Aniketh Vankina, Robert Slater

SMU Data Science Review

Abstract. Automated speaker verification has been an area of increased research in the last few years, with a special interest in metric learning approaches that compute distances between speaker voiceprints. In this paper, three metric learning systems are built and compared in a one-shot speaker verification task using contrastive max-margin loss, triplet loss, and quadruplet loss. For all the models, spectrograms are created from speaker audio. Convolutional Neural Network embedding layers are trained to produce compact voiceprints that allow users to be distinguished using distance calculations. Performances of the three models were similar, but the model with the best EER …

Pokégan: P2p (Pet To Pokémon) Stylizer, Michael B. Hedge, Morgan Nelson, Thomas Pengilly, Michael Weatherford

SMU Data Science Review

This paper covers the development, testing, and implementation of an automatic framework for converting common images of pets into a Pokémon cartoon with the style of a Pokémon trading card. The technique will first implement object detection for common animals to facilitate image segmentation and apply the appropriate style transfer model to ensure the most aesthetic stylization. It explores various methods to address artifacts in the results of common neural style transfer techniques using Generative Adversarial Networks (GANs). This research sets up a framework to create an app that converts user-submitted pet pictures to Pokémon styled images using the most …

Machine Learning Approach To Distinguish Ulcerative Colitis And Crohn’S Disease Using Smote (Synthetic Minority Oversampling Technique) Methods, Kris Ghimire, Walter Lai, Yasser Omar, Thad Schwebke, Jamie Vo

SMU Data Science Review

Irritable Bowel Disease (IBD) affects a sizable portion of the US population, causing symptoms such as vomiting, abdominal pain, and diarrhea. Despite the disease’s prevalence, the precise cause is not fully understood. This study consists of endoscopic and histological data from patients diagnosed with IBD and a control population for reference. The machine learning models' focus is to classify patients into IBD types. Several models were analyzed, including decision trees, logistic regression, and k-nearest neighbors. In addition, various methods of SMOTE were applied to determine the most effective transformation and ensuring that the dataset is balanced. The best model with …

Urban Traffic Simulation: Network And Demand Representation Impacts On Congestion Metrics, Aaron Faltesek, Balasubramaniam Dakshinamoorthi, Sreeni Prabhala, Akbar Thobani, Anu Kuncheria, Jane Macfarlane

SMU Data Science Review

Traffic simulations are often used by city planners as a basis for predicting the impact of policies, plans, and operations. The complexities underpinning traffic simulations are often not described in detail yet can significantly impact the simulation outcome. Conflating underlying data for simulations is complex and hinders the interest in this type of exploration. This paper aims to elucidate critical features of traffic simulations that drive the generated metrics of the modeled urban environment. Specifically, this paper examines differences in two road graph networks for the metropolitan region of Houston, TX: a reduced network composed of 45,675 road links and …

Intelligent Investment Portfolio Management Using Time-Series Analytics And Deep Reinforcement Learning, Sachin Chavan, Pradeep Kumar, Tom Gianelle

SMU Data Science Review

Abstract. – With globalization, the capital markets have exploded in size and value, making them exceedingly difficult to predict. These days the public has access to real-time data of the market-leading to more participation. As a positive step, this might lead to better wealth distribution in the society, and it also adds to the random nature of the market, making it more unpredictable. The portfolio accounts consisting of stocks and bonds are considered serious investment assets. They can make or break a person’s future. It is also a way of shielding one against market risk or rising inflation. These accounts, …

Identifying Vacant Lots To Reduce Violent Crime In Dallas, Texas, Laura Lazarescou, Andrew Mejia, Tina Pai, Sabrina Purvis, Robert Slater, Owen Wilson-Chavez

SMU Data Science Review

Vacant lots have been associated with community violence for many years. Researchers have confirmed a positive correlation between vacant lots and vacant buildings with increased violence in urban and rural geographies. However, identifying vacant lots has been a challenge, and modeling methods were largely manual and time-intensive. This prevented cities and non-profit organizations from acting on the information since it was expensive and high-risk to develop remediation programs without clearly understanding where or how many vacant lots existed.

The primary objective of this study was to provide a predictive model that accelerates and improves the accuracy of prior land classification …

Machine Learning Forecasting Of Construction Demand In The Usa As Indicated By Economic, Geographic And Demographic Cues, Jayson Barker, Emil Ramos, John Rodgers, Saqib Shahzad

SMU Data Science Review

This paper aims to optimize the investment and position of a building supply company by using a predictive modeling approach that focuses on single-family housing starts in the United States. This approach aims to guide where capital investments such as truss-plants and lumber yards should be constructed before housing demand in a particular Metropolitan Statistical Area (MSA) rises. By accurately predicting these MSAs, a building supply company could save costs and improve service while establishing a competitive advantage in the market. This study leverages Multi-Linear Regressions, XGBoost Regression, and Artificial Neural Network (Multilayer Perceptron - MLP) algorithms to identify the …

Identification And Characterization Of Forest Fire Risk Zones Leveraging Machine Learning Methods, Joshua Balson, Matt Chinchilla, Cam Lu, Jeff Washburn, Nibhrat Lohia

SMU Data Science Review

Across the United States, record numbers of wildfires are observed costing billions of dollars in property damage, polluting the environment, and putting lives at risk. The ability of emergency management professionals, city planners, and private entities such as insurance companies to determine if an area is at higher risk of a fire breaking out has never been greater. This paper proposes a novel methodology for identifying and characterizing zones with increased risks of forest fires. Methods involving machine learning techniques use the widely available and recorded data, thus making it possible to implement the tool quickly.

Qualitative Leveraging Natural Language Processing To Establish Judge Incrimination Statistics To Educate Voters In Re-Elections, Aurian Ghaemmaghami, Paul Huggins, Grace Lang, Julia Layne, Robert Slater

SMU Data Science Review

The prevalence of data has given consumers the power to make informed choices based off reviews, ratings, and descriptive statistics. However, when a local judge is coming up for re-election there is not any available data that aids voters in making data-driven decision on their vote. Currently court docket data is stored in text or PDFs with very little uniformity. Scaling the collection of this information could prove to be complicated and tiresome. There is a demand for an automated, intelligent system that can extract and organize useful information from the datasets. This paper covers the process of web scraping …

On Not Already Knowing, J.D. Porter

Criticism

A review of Distant Horizons: Digital Evidence and Literary Change by Ted Underwood. Chicago: University of Chicago Press, 2019. 200 pp. $83.00 hardback, $27.50 cloth.

Towards An Etiology Of The Closet: Sexuality Studies “After Sedgwick”, Kazuki Yamada

Criticism

The Book of Minor Perverts: Sexology, Etiology, and the Emergences of Sexuality by Benjamin Kahan. Chicago: University of Chicago Press, 2019. 242 pp. $99.00 cloth, $32.00 paper.

A Field In Formation: Intersectionality Is/As Social Justice, Lee Y. Weeks Jr.

Criticism

A review of Intersectionality as Critical Social Theory by Patricia Hill Collins. Durham, NC: Duke University Press, 2019. 376 pp. $109.95 cloth, $29.95 paper.

Librarians Don’T Use Google!: Breaking Stereotypes And Myths About Smart Searching, Nora B. Wood, Dhy Edwardsberry

Urban Library Journal

Students often assume that librarians sit with their noses stuck in dusty volumes all day. These same students are typically surprised to learn that many librarians actually work extensively with online resources and are adept at navigating websites and databases to uncover the best information. What comes as even more of a surprise? Learning that librarians rely heavily on Google to conduct thorough and credible research.

In this article, the authors will discuss how they helped break this librarian stereotype and turned the tables on preconceived notions of how to conduct smart research using Google for a group of undergraduate …

Business Merchant Data Consolidator, Sharon Geevarghese, Vinoth Rajkumar

Defensive Publications Series

A consolidated view of the account data of a merchant is provided. Whenever a transaction occurs, the merchant has to collect each payment through the merchant terminal. Further, existing systems do not provide option to view the receivable accounts and reconciliation view of the transactions. For this purpose, a unique identity is provided to the merchant. In every transaction the unique identity is attached to the invoice made by the merchant. This provides a consolidated notification from a platform to the merchants instead of sending multiple notifications. Further, the merchant can have a consolidated view of the receivables either in …

Printer Service Door Open Detection Using Scanner, Hp Inc

Defensive Publications Series

Users need to open service door to access printzone for paper jam clearance or cartridge replacement. In some

printers, opto sensor or hall sensor is equipped to detect door open. When user opens door, door sensor

status changes and it triggers carriage to move to the center for user to replace cartridge. On the other hand,

when user opens door during printing, printer immediately stops printing upon sensing door open for safety

reason.

Design Methodology For Input Shapers Using Genetic Algorithms In Flexible Nonlinear Systems, Mohab Adel Hakim Meshreki

Archived Theses and Dissertations

No abstract provided.

Turning Data Into Art, William Denton

Urban Library Journal

Data analysis and visualization can be fascinating, but such work doesn’t need to stop there. We can take the product of our professional data work and turn it into a personal practice of art. Two projects covered are a visualization of collections and a sonification of help desk activity. There are many ways that we can turn our professional practices of librarianship and archives into personal practices of art. In this talk I briefly point to a performance piece (about archival digitization) and a theatrical production (about information literacy) I did with others, then look in more detail at turning …

End Milling Process Modeling Using Artificial Neural Networks, Khaled Abdel-Hamid Elsayed

Archived Theses and Dissertations

No abstract provided.

Assessment Of Residential Drinking Water Quality In Maadi, Egypt, Sally Fadel Naguib El Komos

Archived Theses and Dissertations

No abstract provided.

Promoting Professional Development Through Appreciative Inquiry: Aiding The Transition Of College Student Employees As Emerging Professionals, Juleane Johnson

M.A. in Higher Education Leadership: Action Research Projects

The purpose of this action research study aimed to identify how to better promote and support the transition as emerging professionals and elevate the professional development capacity of Sixth College Residence Life at the University of California, San Diego. The primary research question guiding these endeavors is: What role do I/our office play in the transition of student employees to emerging professionals? The secondary question is: How can I/our office collaborate to elevate professional development practices and capacity? Research participants took part through virtual interviews, virtual focus groups, and the completion of an online survey. The significance of my efforts …

Practice Development Trajectories Of Experienced Nurses: Adaptive Experts, Routine Experts, And Non-Experts, Dee Mulcahy

Nursing ETDs

This qualitative study examined practice development among experienced, acute care nurses (n = 9) with at least 10 years of experience. Using an interpretive biographical approach, with participants’ written practice narratives and in-depth interviews, the study focused on how the work environment and life experiences influenced or impeded practice development. Participants were classified as routine- or adaptive experts (n = 3 of each type) with one intermediate case and two not readily classifiable. Antecedents to becoming a nurse included family influences, personal interests, altruistic values, and financial need. Experience was necessary but not sufficient for adaptive expertise. Compared …

A Quantitative Exploration Of Relationships Between Severity Of Infant Congenital Muscular Torticollis And Caregiver Understanding Of Positioning And Handling During Occupations Of Infancy, Dalton J. Krencik, Pam Kasyan-Howe, Kristin Domville, Lisa Schubert

Fall 2021 Virtual OTD Capstone Symposium

Congenital muscular torticollis (CMT) is a musculoskeletal disorder typically presenting in newborns/infants that is characterized by unilateral shortening and increased tone in the upper cervical muscle called the sternocleidomastoid. (Hardgrib, 2017) This increased tone and shortening of the musculature causes the infant to present in a higher degree of lateral flexion on the ipsilateral side, and higher degree of cervical rotation on the contralateral side. (Ellwood et al., 2020) Infants participate in occupations with their caregivers throughout daily routines, and the various impairments caused by CMT can cause an effect on occupational performance and participation of the infant. The problem …

Role Of School-Based Occupational Therapy Practitioners: Perspectives From Teachers And Ots, Kristen A. Ollison, Pam Kasyan-Howe, Kristin Domville, Lisa Schubert

Fall 2021 Virtual OTD Capstone Symposium

Schools are the third largest employer of occupational therapists (OTs) in the United States (U.S. Bureau of Labor Statistics, 2021). Occupational Therapists have the distinctive ability to observe the child in their natural context of the school, a place where children participate in a variety of activities (Benson et al., 2015). The problem is that there continues to be discrepancies in the understanding and utilization of OT services in the school setting that affect the perceptions of both OTs and teachers regarding the OT role in school, and general service provision (Bolton & Plattner, 2020; Seruya & Garfinkel, 2020; Truong …

The Fierce Green Fire: Vol. 12 Issue 9, Wofford College. Department Of Environmental Studies

The Fierce Green Fire

No abstract provided.

Florida Frontiers Radio Program #447, Dr. Ben Brotemarkle, Florida Historical Society

Florida Frontiers Radio Transcripts

SEGMENTS | Seminole Cheyenne Kippenberger | Florida Negro Farm Cooperative Extension Service | Groveland Four Exonerated

Board Of Trustees Meeting Minutes 2021-12-10, Bowling Green State University

Board of Trustees Meeting Minutes

The official meeting minutes of Bowling Green State University's Board of Trustees.

Ud Men For Gender Equity Newsletter, December 2021, University Of Dayton. Women's Center

UD Men for Gender Equity Newsletter

In this issue:

1. Welcome Message
2. Upcoming Engagement Opportunities
3. Celebrate Pride Every Day!
4. University of Dayton: We Are Here For You
5. Who We Are: Stories of LGBTQ+ Members and Gender Equity Advocacy at UD
6. Announcements
7. Share Your Experience