Digital Commons Network^™

Bringing Political Upheaval And Cultural Trauma Into Order: A Document-Theoretical Approach To The Social Significance Of Bibliographic Classification Systems, Joacim Hansson

Proceedings from the Document Academy

This paper explores the ability to define bibliographic classification systems as socially significant documents in a way that goes beyond their immediate function in the information retrieval process. It does so in dialog with theory on documents and documentality, and knowledge organization theory. Two examples show how development of new classification systems address social and cultural structures in periods of rapid social and cultural change and crisis. The first example discusses the design of a classification system for Swedish public libraries in the late 1910s, and the second addresses the re-formulation of the Holocaust experience in American Jewish library classification …

Methodology For The Development Of Physical Fitness Of Schoolchildren Aged 13-15 Years In The Process Of Extracurricular Activities, Gulsara Khasanovna Salikhova

Eurasian Journal of Sport Science

Purpose: To develop a methodology for the development of physical fitness of schoolchildren in the process of extracurricular activities.

Methods: To solve the research tasks, the following research methods were used: the study and analysis of scientific literature and articles published in periodicals, questionnaires, pedagogical observation, pedagogical control tests, teaching experience, mathematical and statistical research results.

Results: After six months of pedagogical experiments, the final test results of schoolchildren showed that the physical fitness of boys and girls of the experimental group has significantly improved. For example, for boys aged 13-15, the result in running at 60 m was 5.6–6.5%; …

The Importance Of Educational Technology In Teaching Physics Based On A Competency-Based Approach In Higher Education., Ugiloy Nabievna Sultonova Phd

Central Asian Journal of Education

This article presents a comparative analysis of the traditional and competent approach to the importance of educational technologies in teaching physics on the basis of a competency-based approach in technical higher education institutions, the basic concepts of improving physics teaching methods and individual approach.

Introduction To Series And Parallel Circuits, Craig E. Shepherd, Shannon M. Smith

Library Faculty Publications and Presentations

This lesson begins with an introduction on electricity and how it is formed at the molecular level. It then lets learners explore and define a circuit. This introduction is followed by an exploration where learners develop series and parallel circuits using LED lights and motors. Learners then consider what constitutes a series and parallel circuit, open and closed circuit, and a short circuit. The lesson concludes by having learners consider advantages, limitations, and instructional uses of various electronics kits (e.g., Snap Circuits, littleBits, LilyPad, paper circuits, conductive dough) based on their ability to display circuit paths.

Metasurfaces For Nano-Illumination In Lidar And Lighting Applications, Sehyeon Kim

Graduate Theses - Physics and Optical Engineering

The development of a non-scanning laser-based imaging lidar system based on a diffractive optical element with potential applications in advanced driver assistance systems, autonomous vehicles, drone navigation, and mobile devices is reported. The proposed lidar utilizes image processing with homography. The emphasis in the design approach has been on compactness and cost of the final system for it to be deployable both as standalone or complementary to existing lidar sensors, enabling fusion sensing in the applications. This work describes the basic elements of the proposed lidar system. It presents the potential ranging mechanisms, along with their experimental results demonstrating the …

Filled/Non-Filled Pairs: An Empirical Challenge To The Integrated Information Theory Of Consciousness, Amber R. Hopkins, Kelvin J. Mcqueen

Philosophy Faculty Articles and Research

Perceptual filling-in for vision is the insertion of visual properties (e.g., color, contour, luminance, or motion) into one’s visual field, when those properties have no corresponding retinal input. This paper introduces and provides preliminary empirical support for filled/non-filled pairs, pairs of images that appear identical, yet differ by amount of filling-in. It is argued that such image pairs are important to the experimental testing of theories of consciousness. We review recent experimental research and conclude that filling-in involves brain activity with relatively high integrated information (Φ) compared to veridical visual perceptions. We then present filled/non-filled pairs as …

Empathy As A Moderator Of Preservice Teachers’ Culturally Responsive Teaching Self-Efficacy And Outcome Expectancy Beliefs, Juta Tammachart

Dissertations

The main purpose of this research was to examine the relationship model between culturally responsive teaching self-efficacy (CRTSE) and culturally responsive teaching outcome expectancy beliefs (CRTOE) in Thailand. There were two research questions outlined in the study: what is the relationship between preservice teachers’ CRTSE and CRTOE? Also, does the culturally responsive teaching teacher empathy (CRTTE) moderate the relationship of preservice teachers’ CRTSE and CRTOE?

Based on the CRT standards by Siwatu (2005), there were three measures applied in the study: CRTSE, CRTOE, and CRTTE scales. These instruments were piloted with 536 preservice teachers in the Faculty of Education, Prince …

Examining Arkansas' Freshman Gpas And Long-Term Outcomes, Sarah R. Morris, Sarah C. Mckenzie, Charlene A. Reid

Arkansas Education Reports

This study examines the Grade Point Averages (GPAs) of high school freshman in Arkansas and their relationship with later outcomes. Using de-identified student-level data from 2009-10 to 2018-19 from the Arkansas Department of Education, this research investigates trends in freshman GPAs, how these trends vary for different demographic and socioeconomic groups, and the relationship of freshman GPAs to high school graduation and college enrollment.

We follow seven cohorts of Arkansas first-time freshmen who were enrolled in twelfth grade four years later. Using regression analyses controlling only for student demographic characteristics, we find a one-point gain in freshman GPAs to be …

Comparison Of Major Cloud Providers, Justin Berman

Other Student Works

This paper will compare the following major cloud providers: Microsoft Azure, Amazon AWS, Google Cloud, and IBM Cloud. An introduction to the companies and their history, fundamentals and services, strengths and weaknesses, costs, and their security will be discussed throughout this writing.

Odu Research Is Showcased In ‘Waters Rising’ Exhibition At The Chrysler Museum Of Art, Amber Kennedy

News Items

No abstract provided.

Message From The President / 12.15.21, Evan M. Glazer

Message from the President

No abstract provided.

Flavonoids Reduce Lipid Peroxides And Increase Glutathione Levels In Pooled Human Liver Microsomes (Hlms), William Yaw Boadi, Camille Stevenson, Dontrez Johnson, Mohamed Adel Mohamed

Chemistry Faculty Research

The effects of each of the flavonoids; genistein (G), quercetin (Q) and kaempferol (K) at several doses on lipid peroxides (LP) and reduced glutathione (GSH) in pooled human liver microsomes (HLMs) were investigated following the oxidative damage for 4, 6, 18 and 24 hr. HLMs (1 mg/ml) were exposed to each of the above flavonoids at 0, 5, 10, 15, 20 or 25 μM and incubated for the respective times as previously stated. Our hypothesis was that HLMs exposed to the flavonoids for the respective exposure times can decrease LP and increase GSH in HLMs to better cope with the …

Dark Energy At Early Times And Act Data: A Larger Hubble Constant Without Late-Time Priors, V. Poulin, Tristan L. Smith, A. Bartlett

Physics & Astronomy Faculty Works

Recent observations using the Atacama Cosmology Telescope (ACT) have provided ground-based cosmic microwave background (CMB) maps with higher angular resolution than the Planck satellite. These have the potential to put interesting constraints on models resolving the “Hubble tension.” In this paper we fit two models of early dark energy (EDE) (an increase in the expansion rate around matter/radiation equality) to the combination of ACT data with large-scale measurements of the CMB either from the WMAP or the Planck satellite (including lensing), along with measurements of the baryon acoustic oscillations and uncalibrated supernovae luminosity distance. We study a phenomenological axionlike potential …

Measuring Science Teachers' Emotional Experiences With Evolution Using Real World Scenarios, William Lee Romine, Rutuja Mahajan, Amber Todd

Biological Sciences Faculty Publications

Low acceptance of evolution remains an obstacle to quality biology instruction. We develop and utilize a novel assessment which measures emotional experience in light of real-world evolution education scenarios. We presented 296 science teachers 4 pro-evolution and 8 anti-evolution scenarios and asked them to rate their levels of joy, anger, sadness, fear, disgust, shame, and guilt elicited by that scenario on an ordinal 5-point scale. We used exploratory factor analysis to extract the most important dimensions in the teachers’ responses, Rasch analysis to explore the validity of the extracted subscales, and stepwise regression to find the most important factors driving …

“Connecting The Dots To A Digital Future, Transitioning From Data To Informed Decisions”, Marcus O'Mahony, Anne Greene

Level 3

No abstract provided.

Finland, A Package Deal: Disciplinary Climate In Science Classes, Science Dispositions And Science Literacy, Larry J. Grabau, Jari Levonen, Kalle Juuti

Plant and Soil Sciences Faculty Publications

Finland’s educational prowess, though tempered by recent international assessments, has remained intact. This report focused on lessons that could be learned regarding secondary-level science education from the Program for International Student Assessment (PISA) 2015, science-focused assessment. That PISA iteration included not only science literacy but also students’ science dispositions (epistemology, enjoyment, interest, and self-efficacy) and the schools’ science climate measures (disciplinary climate and teaching support). Due to the hierarchical nature of the PISA data, multilevel models were employed in this Finnish study, involving 5582 students from 167 schools. Science dispositions (as outcome measures) were differently associated with teaching support and …

Unh Receives $3.5 Million To Develop Innovative Stem Education Programs, Robbin Ray

Media Relations

No abstract provided.

Smoking, Alcohol Consumption, And Depression In Association With Incidence Of Type 2 Diabetes Among Mexican Americans In Starr County, Texas, Gabriela Rubannelsonkumar

Honors Program Theses and Research Projects

Previous studies on conditions like obesity, hypertension, and type 2 diabetes mellitus (T2DM) have explored the correlations between them and various other human conditions, including aortic stiffness, left ventricular hypertrophy and sleep apnea, as they predict possibilities of developing certain diseases in Mexican Americans. This study aims to observe the correlation between lifestyle decisions that could relate to the onset of the depression in normal, prediabetic, and diabetic individuals. These include smoking habits and alcohol consumption. Many papers have previously conducted research on these lifestyle habits as they relate to obesity, hypertension, diabetes, however, have done so in a singular …

The Right Side Of The Coin: State Approaches In Regulating Virtual Currencies, Zachary Miller

Seton Hall Journal of Legislation and Public Policy

No abstract provided.

From Inspiration To Actualization: Designing An Mba That Can Deliver The Goods, Rodolfo P. Ang

Journal of Management for Global Sustainability

This invited essay continues the conversation on the International Association of Jesuit Universities’ (IAJU) white paper entitled “An Inspirational Paradigm for Jesuit Business Education.” Mr. Rodolfo P. Ang, one of the members of the Task Force that developed the white paper, talks about his experience of leading the Ateneo de Manila University Graduate School of Business toward the actualization of the paradigm.

Modeling Iterative Reconstruction And Displacement Field In The Large Scale Structure, Atsuhisa Ota, Hee Jong Seo, Shun Saito, Florian Beutler

Physics Faculty Research & Creative Works

The next generation of galaxy surveys like the Dark Energy Spectroscopic Instrument and Euclid will provide datasets orders of magnitude larger than anything available to date. Our ability to model nonlinear effects in late time matter perturbations will be a key to unlock the full potential of these datasets, and the area of initial condition reconstruction is attracting growing attention. Iterative reconstruction developed by Marcel Schmittfull et al. [Phys. Rev. D 96, 023505 (2017)PRVDAQ2470-001010.1103/PhysRevD.96.023505] is a technique designed to reconstruct the displacement field from the observed galaxy distribution. The nonlinear displacement field and initial linear density field are highly correlated. …

Extending The Quality Of Secure Service Model To Multi-Hop Networks, Paul M. Simon, Scott R. Graham

Faculty Publications

Rarely are communications networks point-to-point. In most cases, transceiver relay stations exist between transmitter and receiver end-points. These relay stations, while essential for controlling cost and adding flexibility to network architectures, reduce the overall security of the respective network. In an effort to quantify that reduction, we extend the Quality of Secure Service (QoSS) model to these complex networks, specifically multi-hop networks. In this approach, the quantification of security is based upon probabilities that adversarial listeners and disruptors gain access to or manipulate transmitted data on one or more of these multi-hop channels. Message fragmentation and duplication across available channels …

Inequalities In Heterosexual Sex And How We Can Become Equals, Sophie Bierly

Undergraduate Honors Theses

Sexual inequality is well researched in the academic sphere but is absent from the political realm. Previous research has identified that sex is defined for men’s pleasure, that women suffer from an orgasm gap, and that male domination is standard in heterosexual sex. Due to the private nature of sex, sexual inequality is untouched as a personal problem rather than deconstructed as a political injustice. However, the universality of sexual inequality in heterosexual relationships demonstrates that these overlooked personal problems are rooted in widespread cultural misogyny. Sex is one of the primary ways in which we perform gendered socialization, due …

Ultrafast Spectroscopy Of Air Lasing In Filaments, Brian Robert Kamer

Optical Science and Engineering ETDs

Filamentation in air is a phenomenon that has been extensively investigated for the last two decades. At sufficiently high intensity, even air is a nonlinear medium. These intensities are reached with ultrashort pulses (50 to 100 fs) of more than 1 J energy, which self-focus in air, reach ionizing intensities of oxygen and nitrogen, creating a plasma that defocuses the beam. The air filament is a self-induced waveguide resulting from a balance of focusing and defocusing. In this work new techniques were developed to visualize and analyze this phenomenon through its emission, in particu- lar the UV emission of the …

Analysis Of Camera Trap Footage Through Subject Recognition, Nirnayak Bhardwaj

Master's Projects

Motion-sensitive cameras, otherwise known as camera traps, have become increasingly popular amongst ecologists for studying wildlife. These cameras allow scientists to remotely observe animals through an inexpensive and non-invasive approach. Due to the lenient nature of motion cameras, studies involving them often generate excessive amounts of footage with many photographs not containing any animal subjects. Thus, there is a need for a system that is capable of analyzing camera trap footage to determine if a picture holds value for researchers. While research into automated image recognition is well documented, it has had limited applications in the field of ecology. This …

Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed

The University of Louisville Journal of Respiratory Infections

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), famously known as COVID-19, has quickly become a global pandemic. Chest X-ray (CXR) imaging has proven reliable, fast, and cost-effective for identifying COVID-19 infections, which proceeds to display atypical unilateral patchy infiltration in the lungs like typical pneumonia. We employed the deep convolutional neural network (DCNN) ResNet-34 to detect and classify CXR images from patients with COVID-19 and Viral Pneumonia and Normal Controls.

Methods: We created a single database containing 781 source CXR images from four different international sub-databases: the Società Italiana di Radiologia Medica e Interventistica (SIRM), the GitHub Database, the …

Utilizing Software Engineering And Cloud Computing Principles To Develop The Revised Self-Report Assessment Of Functional Visual Performance (R-Srafvp) Application, Kirk Hedlich

Masters Projects

Can principles from software engineering and concepts from cloud computing be applied to and aid in the development of a small project, specifically improving the use of the Revised Self-Report Assessment of Functional Visual Performance (R-SRAFVP)? The target for this project is to create a new application and improve on existing attempts to move the R-SRAFVP assessment from an electronic document format to a web-based application. The new application should provide better ease of use, simplicity in design and understanding for use, and hopefully increased access and adoption by Occupation Therapists who specialize in low vision rehabilitation. The benefits of …

Piezoelectricity In Hafnia, Sangita Dutta, Pratyush Buragohain, Sebastjan Glinsek, Claudia Richter, Hugo Aramberri, Haidong Lu, Uwe Schroeder, Emmanuel Defay, Alexei Gruverman, Jorge Íñiguez

Department of Physics and Astronomy: Faculty Publications

Because of its compatibility with semiconductor-based technologies, hafnia (HfO₂) is today’s most promising ferroelectric material for applications in electronics. Yet, knowledge on the ferroic and electromechanical response properties of this all-important compound is still lacking. Interestingly, HfO₂ has recently been predicted to display a negative longitudinal piezoelectric effect, which sets it apart from classic ferroelectrics (e.g., perovskite oxides like PbTiO₃) and is reminiscent of the behavior of some organic compounds. The present work corroborates this behavior, by first-principles calculations and an experimental investigation of HfO₂ thin films using piezoresponse force microscopy. Further, the simulations …

Identifying Bots On Twitter With Benford’S Law, Sanmesh Bhosale

Master's Projects

Over time Online Social Networks (OSNs) have grown exponentially in terms of active users and have now become an influential factor in the formation of public opinions. Due to this, the use of bots and botnets for spreading misinformation on OSNs has become a widespread concern. The biggest example of this was during the 2016 American Presidential Elections, where Russian bots on Twitter pumped out fake news to influence the election results.

Identifying bots and botnets on Twitter is not just based on visual analysis and can require complex statistical methods to score a profile based on multiple features and …

Employee Churn Prediction Using Logistic Regression And Support Vector Machine, Rajendra Maharjan

Master's Projects

It is a challenge for Human Resource (HR) team to retain their existing employees than to hire a new one. For any company, losing their valuable employees is a loss in terms of time, money, productivity, and trust, etc. This loss could be possibly minimized if HR could beforehand find out their potential employees who are planning to quit their job hence, we investigated solving the employee churn problem through the machine learning perspective. We have designed machine learning models using supervised and classification-based algorithms like Logistic Regression and Support Vector Machine (SVM). The models are trained with the IBM …