Digital Commons Network^™

Luis Diaz Almanzar V. Attorney General United States

2024 Decisions

Agency

Swosu Fact Book Summer 2024, Joel Harrel Kendall, Diane Fitzsimmons, Kelsi Burghardt

Fact Books

Starting in 2024SU, Southwestern Oklahoma State University will produce a Summer Fact Book, which will provide information on enrollment, student demographics, and academic programs for the summer semester. The report is designed to help faculty, staff, administrators, and external stakeholders better understand the student body and university trends. The data analyzed for this report was collected on the 5^th day of each summer semester 2015 through 2024.

New Method To Calculate Friction Velocity In Smooth Channel Flows Using Direct Numerical Simulation Data, Harshit Mishra, S. Karan Venayagamoorthy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In this paper, we leverage the direct numerical simulation (DNS) data for closed-channel flow for a range of friction Reynolds number (Reτ∼180-5,000) to develop a new one-point friction velocity method (OPFVM) to calculate friction velocity U∗ in terms of free-surface velocity Um, flow depth h, and kinematic viscosity ν. In contrast to prevalent methods that require several cumbersome near boundary measurements to obtain friction velocity, the OPFVM relies on a single easy-to-measure free-surface velocity measurement. The formulation is used to obtain friction velocity for a closed-channel flow (CCF) DNS regime with Reτ=10,049 and on four open-channel flow (OCF) DNS regimes …

Using Data-Driven Decision-Making To Guide Instructional Strategies In The Classroom: A School Improvement Plan, Samantha Dolezal

Master's Theses & Capstone Projects

This paper explores the use of data-driven decision-making in educational settings to improve instructional strategies and student outcomes. Educators can utilize various data sources, such as state summative assessments and classroom formative assessments, to make informed decisions tailored to their students' diverse needs. This school improvement plan suggests that data-driven decision-making can lead to a more personalized learning experience, targeted instructional strategies, and better teacher responsiveness to student needs. The plan also outlines the responsibilities, resources, and process for monitoring success and challenges for each student in schools looking to implement data-driven approaches in teaching and learning.

Improving Fine Motor And Handwriting Skills, Anne Weber

Master's Theses & Capstone Projects

Early childhood years are a crucial time for the development of fine motor and handwriting skills. Research links these skills to success in other academic content such as letter identification and counting skills. Gripping, pinching, and manipulating interventions have been shown to improve fine motor and handwriting skills. A school improvement plan was created to address the lack of time dedicated to these two skills in a rural Iowa public school. A plan to implement fine motor and handwriting curriculums in preschool through first grade is described in detail. With successful implementation, fine motor and handwriting skills will significantly improve.

Hd-Tdcs Over Left Supplementary Motor Area Differentially Modulated Neural Correlates Of Motor Planning For Speech Vs. Limb Movement, Fatemeh Tabari, Celeste Patron, Hope Cryer, Karim Johari

Faculty Publications

The supplementary motor area (SMA) is implicated in planning, execution, and control of speech production and limb movement. The SMA is among putative generators of pre-movement EEG activity which is thought to be neural markers of motor planning. In neurological conditions such as Parkinson's disease, abnormal pre-movement neural activity within the SMA has been reported during speech production and limb movement. Therefore, this region can be a potential target for non-invasive brain stimulation for both speech and limb movement. The present study took an initial step in examining the application of high-definition transcranial direct current stimulation (HD-tDCS) over the left …

Application Of Near-Infrared Spectroscopy For Hay Evaluation At Different Degrees Of Sample Preparation, Eun Chan Jeong, Kun Jun Han, Farhad Ahmadi, Yan Fen Li, Li Li Wang, Young Sang Yu, Jong Geun Kim

Faculty Publications

Objective: A study was conducted to quantify the performance differences of the near-infrared spectroscopy (NIRS) calibration models developed with different degrees of hay sample preparations. Methods: A total of 227 imported alfalfa (Medicago sativa L.) and another 360 imported timothy (Phleum pratense L.) hay samples were used to develop calibration models for nutrient value parameters such as moisture, neutral detergent fiber, acid detergent fiber, crude protein, and in vitro dry matter digestibility. Spectral data of hay samples prepared by milling into 1-mm particle size or unground were separately regressed against the wet chemistry results of the abovementioned parameters. Results: The …

A Longitudinal Evaluation Of Personalized Intrinsic Network Topography And Cognitive Decline In Parkinson's Disease, Renxi Li, Vincent Pozorski, Kevin Dabbs, Maureen Haebig, Christopher R. Cox, Colleen Pletcher, Alexandra Wey, Amy Barzgari, Frances Theisen, Ozioma Okonkwo, Catherine L. Gallagher

Faculty Publications

Resting state functional magnetic resonance imaging (R-fMRI) offers insight into how synchrony within and between brain networks is altered in disease states. Individual and disease-related variability in intrinsic connectivity networks may influence our interpretation of R-fMRI data. We used a personalized approach designed to account for individual variation in the spatial location of correlation maxima to evaluate R-fMRI differences between Parkinson's disease (PD) patients who showed cognitive decline, those who remained cognitively stable and cognitively stable controls. We compared fMRI data from these participant groups, studied at baseline and 18 months later, using both network-based statistics (NBS) and calculations of …

Effects Of The Menstrual Cycle And Hormonal Contraceptive Use On Metabolic Outcomes, Strength Performance, And Recovery: A Narrative Review, Hannah E. Cabre, Lacey M. Gould, Leanne M. Redman, Abbie E. Smith-Ryan

Clinical Research Faculty Publications

The effects of female sex hormones on optimal performance have been increasingly recognized as an important consideration in exercise and sport science research. This narrative review explores the findings of studies evaluating the effects of menstrual cycle phase in eumenorrheic women and the use of hormonal contraception (oral contraceptives and hormonal intrauterine devices) on metabolism, muscular strength, and recovery in active females. Ovarian hormones are known to influence metabolism because estrogen is a master regulator of bioenergetics. Importantly, the menstrual cycle may impact protein synthesis, impacting skeletal muscle quality and strength. Studies investigating muscular strength in eumenorrheic women report equivocal …

Toward Concurrent Identification Of Human Activities With A Single Unifying Neural Network Classification: First Step, Andrew Smith, Musa Azeem, Chrisogonas O. Odhiambo, Pamela J. Wright, Hanim E. Diktas, Spencer Upton, Corby K. Martin, Brett Froeliger, Cynthia F. Corbett, Homayoun Valafar

Clinical Research Faculty Publications

The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably quantify human behavior. Better understanding human activities in unobtrusive and passive ways is an indispensable tool in understanding the relationship between behavioral determinants of health and diseases. Adult individuals (N = 60) emulated the behaviors of smoking, exercising, eating, and medication (pill) taking in a laboratory setting while equipped with smartwatches that captured accelerometer data. The collected data underwent expert annotation and was used to train a …

Validity And Reliability Of Meu Educativo®: A New Tool To Assess Fundamental Movement Skills In School-Aged Children, Fernando Garbeloto, Sara Pereira, Go Tani, Jean Philippe Chaput, David F. Stodden, Rui Garganta, Donald Hedeker, Peter T. Katzmarzyk, José Maia

Population and Public Health Science Faculty Publications

Objectives: There is evidence showing that children's proficiency in fundamental movement skills (FMS) is positively related to weight status, physical activity, fitness levels, cognitive development, as well as academic performance. Yet, the feasibility of FMS assessment is challenging, especially with relatively large samples of children. This article presents a new tool named Meu Educativo® to assess children's FMS levels, including its validity and reliability. Methods: We relied on the validity evidence approach based on test content to develop the FMS assessment checklist and the rating system with a team of experts. In this article, we used five FMS (stationary dribbling, …

Gradient Synchronization For Multivariate Functional Data, With Application To Brain Connectivity, Yaqing Chen, Shu Chin Lin, Yang Zhou, Owen Carmichael, Hans Georg Müller, Jane Ling Wang

Clinical Research Faculty Publications

Quantifying the association between components of multivariate random curves is of general interest and is a ubiquitous and basic problem that can be addressed with functional data analysis. An important application is the problem of assessing functional connectivity based on functional magnetic resonance imaging (fMRI), where one aims to determine the similarity of fMRI time courses that are recorded on anatomically separated brain regions. In the functional brain connectivity literature, the static temporal Pearson correlation has been the prevailing measure for functional connectivity. However, recent research has revealed temporally changing patterns of functional connectivity, leading to the study of dynamic …

Grb 180128a: A Second Magnetar Giant Flare Candidate From The Sculptor Galaxy, Aaron C. Trigg, Eric Burns, Oliver J. Roberts, Michela Negro, Dmitry S. Svinkin, Matthew G. Baring, Zorawar Wadiasingh, Nelson L. Christensen, Igor Andreoni, Michael S. Briggs, Niccolò Di Lalla, Dmitry D. Frederiks, Vladimir M. Lipunov, Nicola Omodei, Anna V. Ridnaia, Peter Veres, Alexandra L. Lysenko

Faculty Publications

Magnetars are slowly rotating neutron stars that possess the strongest magnetic fields known in the cosmos (10¹⁴-10¹⁵ G). They display a range of transient high-energy electromagnetic activity. The brightest and most energetic of these events are the gamma-ray bursts (GRBs) known as magnetar giant flares (MGFs), with isotropic energies Eiso10⁴⁴10⁴⁶ erg. Only seven MGF detections have been made to date: three unambiguous events occurred in our Galaxy and the Magellanic Clouds, and the other four MGF candidates are associated with nearby star-forming galaxies. As all seven identified MGFs are bright at Earth, additional weaker …

The Chemistry Of Heavy Elements: Probing Relativistic Chemical Bonding, Barbara Maria Teixeira Costa Peluzo

Chemistry Theses and Dissertations

The bottommost part of the periodic table has a unique chemistry, where the high velocities of the inner-shell electrons prevent their description by the usual Schrödinger equation. The resulting so-called relativistic effects have numerous chemical implications, on both macro and microscale, ranging from physical properties to reactivity. However, experimental probes on these intriguing atoms are limited by their natural availability and, more importantly, the danger associated with their radioactivity. Quantum chemical calculations, on the other hand, face the challenge of far more complex algebra, which demands substantial computational resources. Relativistic Hamiltonians, which act over all electrons in the system, are …

Lawrence, Spring/Summer 2024, Lawrence University

Alumni Magazines

No abstract provided.

The Blessed Assembly: Irreplaceable Physical Co-Presence In Worship And Healthy Hybridity Reimagined After The Pandemic In The Digital Age, Yvette, Ying Wai Lau

Doctor of Pastoral Music Projects and Theses

Because of the unprecedented and unexpected force of the pandemic since 2020, most churches around the world have experienced some online worship during the lockdown of their cities or the mandated closure of the church buildings. For many people, online worship seems to be an equivalent, if not better, alternative for gathering together—a physical co-presence in worship—even after the pandemic has ended. As necessary and vital as online worship experiences have been for Christians during the pandemic, the witness of the church from Pentecost throughout Christian history indicates that gathered worship in physical spaces is irreplaceable for faith formation and …

Imperfect Insanity And Diminished Responsibility, E. Lea Johnston

UF Law Faculty Publications

Insanity’s status as an all-or-nothing excuse results in the disproportionate punishment of individuals whose mental disorders significantly impaired, but did not obliterate, their capacities for criminal responsibility. Prohibiting the trier of fact from considering impairment that does not meet the narrow definition of insanity contradicts commonly held intuitions about mental abnormality and gradations of responsibility. It results in systemic over-punishment, juror frustration, and, at times, arbitrary verdicts as triers of fact attempt to better apportion liability to blameworthiness.

This Article proposes a generic partial excuse: Diminished Responsibility from Mental Disability. This excuse could be asserted as an affirmative defense at …

Premenstrual Dysmorphic Disorder/Premenstrual Syndrome Luteal Phase Treatment, Shelby Gawarecki

Physician Assistant Scholarly Project Posters

• PMS/PMDD symptoms affect many women's emotional and physical wellbeing.

• SSRIs, progesterone, and sepranolone are luteal phase treatment options.

• Studies were all peer-reviewed, including randomized control trials or a meta-analysis.

• SSRIs are a consistent primary treatment for symptom alleviation especially cognitive symptoms. SSRIs are the current mainstay, recommended for luteal phase treatment of PMS/PMDD.

• SSRIs, including citalopram, sertraline, escitalopram, and fluoxetine, were examined to determine their efficacy in relieving mood-related symptoms such as irritability, anxiety, and depression during the luteal phase.

• Data on progesterone treatment in the luteal phase is inconclusive. • Allopregnanolone levels and …

Trauma-Focused Justice: Recognizing Systemic Trauma, Samantha Buckingham

University of Arkansas at Little Rock Law Review

No abstract provided.

Antitrust Law—A New Era In College Athletics: Is Arkansas The Best State To Play In?, Ashtyn Pike

University of Arkansas at Little Rock Law Review

No abstract provided.

Teaching Learning Newsletter Vol 4 Issue 1, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

Rebellion In The ‘Woke’ Society: Creating A New Camusian Meridian, Carl Jayson D. Hernandez

Philosophy Department Faculty Publications

Society continues to evolve and advance in numerous aspects. As highly specialized fields spring and new sensibilities are formed, The complex power structures and the notions of “political correctness” spur us to discuss what actions and forms of reformations are truly just. In The Rebel, Albert Camus (1956) contends that every act of rebellion is a simultaneous refusal against injustice and an affirmation of a value. However, there is always a danger of rebellion devolving into a self-defeating revolution. Thus, Albert Camus’ philosophical notion of “meridian” becomes crucial to maintaining the humane spirit of rebellious actions. In an age …

Coin Center V. Yellen Prompts Reconsideration Of The Vast Deference Afforded To The Department Of The Treasury, Emily Arterbury

Catholic University Law Review

This Comment examines the legal implications of the sanctions issued by the Department of the Treasury’s Office of Foreign Asset Control against Tornado Cash, an application that enables user privacy protection in transactions on the Ethereum blockchain. With the rapid expansion of the digital asset revolution, policymakers remained puzzled as to how to best establish a regulatory scheme that protects consumers without chilling innovation and investment in the digital asset market. The Office of Foreign Assets Control’s issuance of sanctions against Tornado Cash was an attempt to regulate an extremely volatile and unpredictable market. These sanctions prohibited all licit activity …

Dude, Where’S My Data? A Legislative Band-Aid For Data Brokers’ Bullet Hole In Consumer Privacy Protection, Emily Bushman

Catholic University Law Review

The development and proliferation of the Internet, GPS, cell phones, social media, and the associated data that support these now ubiquitous technologies have created a new ecosystem of information making up a person’s digital identity. Our digital footprints have traditionally been subject to different levels of privacy protection depending upon the kind of data at issue. Over time, court decisions have revealed tensions and a lack of consistency on the question of how the protections guaranteed by the Fourth Amendment apply to an individual’s digital footprint and their reasonable expectations of privacy over it. This Comment will examine the gaps …

Successful Feedback Literacy For Library And Information Science Professionals: A Literature Review, Jessica N. Szempruch, Leetta M. Schmidt

USF Libraries Faculty and Staff Publications

Providing and receiving feedback are crucial elements of any learning exchange and are an intrinsic part of cultivating disciplinary dialogic culture. While there is considerable scholarly conversation on the topic of cultivating constructive feedback in student work, there is less literature dedicated to addressing what successful feedback literacy and processes look like in relation to scholarly research writing by professionals. This literature review examines the development of feedback literacy concepts across disciplines to determine if and how these concepts manifest within academic librarianship literature. The goal of this paper is to gain insights to improve future feedback exchange within the …

Enhancing Adult Learner Success In Higher Education Through Decision Tree Models: A Machine Learning Approach, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

This article explores the use of machine learning, specifically Classification and Regression Trees (CART), to address the unique challenges faced by adult learners in higher education. These learners confront socio-cultural, economic, and institutional hurdles, such as stereotypes, financial constraints, and systemic inefficiencies. The study utilizes decision tree models to evaluate their effectiveness in predicting graduation outcomes, which helps in formulating tailored educational strategies. The research analyzed a comprehensive dataset spanning the academic years 2013–2014 to 2021–2022, evaluating the predictive accuracy of CART models using precision, recall, and F1 score. Findings indicate that attendance, age, and Pell Grant eligibility are key …

Impact Of Hydrogen Peroxide Wipes Disinfecting Clostridioides Difficle On High-Touch Surfaces, Tyler Wolf Ramirez

Doctor of Nursing Practice Scholarly Projects

Clostridioides difficile is the leading cause of nosocomial diarrheas worldwide (Centers for Disease Prevention and Control [CDC], 2022). 15% of all hospitalized patients in the United States develop antibiotic-associated diarrhea (AAD), with 15-25% of cases caused by C. difficile (CDC, 2022). C. difficile costs the United States Healthcare system $5.4-6.3 billion annually (Balsells et al., 2019). The project’s purpose was to see if implementing hydrogen peroxide (H2O2) wipes using an interprofessional team leads to the following expected outcome(s): reduction in hospital-acquired C. difficile infections and comparable disinfection rates to sodium hypochlorite. An interprofessional team consisting of the primary lead, Clinical …

Data Management Report July 2024, Tennessee. Department Of Disability And Aging

Compliance & System Data/Reports

This monthly report provides data on various aspects of the department's activities and programs.

Zero Textbook Cost Syllabus For Cis 3920 (Intro To Data Mining), Lawrence Cohen

Open Educational Resources

To successfully compete in today’s global business environment an organization must constantly monitor, recognize, and understand every aspect and every issue of its operations, its industry, and the overall business environment. This course focuses on data mining and understanding the steps of a data mining project from both a business and technical perspective.

Students will actively participate in this course through class discussions, project preparation and presentation, and hands-on labs. We cover both supervised and unsupervised data mining techniques for tasks like targeted mailing campaigns, customer segmentation, customer churn, fraud-detection, and market basket analysis.

In this course, I encourage students …

In Vitro Culture Alters Cell Lineage Composition And Cellular Metabolism Of Bovine Blastocyst, Hao Ming, Mingxiang Zhang, Sandeep Rajput, Deirdre Logsdon, Linkai Zhu, William B. Schoolcraft, Rebecca L. Krisher, Zongliang Jiang, Ye Yuan

Faculty Publications

Profiling bovine blastocyst transcriptome at the single-cell level has enabled us to reveal the first cell lineage segregation, during which the inner cell mass (ICM), trophectoderm (TE), and an undefined population of transitional cells were identified. By comparing the transcriptome of blastocysts derived in vivo (IVV), in vitro from a conventional culture medium (IVC), and in vitro from an optimized reduced nutrient culture medium (IVR), we found a delay of the cell fate commitment to ICM in the IVC and IVR embryos. Developmental potential differences between IVV, IVC, and IVR embryos were mainly contributed by ICM and transitional cells. Pathway …