Physical Sciences and Mathematics Commons^™

Hurricane Katrina Archive: Libraries Catalog Bibliography, Lsu Health Sciences Center - New Orleans Libraries, Elizabeth H. Holt

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 15 books, videos, and edited collections created on the topic of Hurricane Katrina by authors and others affiliated with LSU Health Sciences Center - New Orleans between September 2005 and August 2025.

Hurricane Katrina Archive: Faculty Publications Bibliography 2010-2014, Lsu Health Sciences Center - New Orleans Libraries, Sharon Duffy, Matthew Folse

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 45 articles about Hurricane Katrina written by authors affiliated with LSU Health – New Orleans between January 2010 and December 2014.

Hurricane Katrina Archive: Faculty Publications Bibliography 2005-2009, Lsu Health Sciences Center - New Orleans Libraries, Sharon Duffy, Matthew Folse

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 91 articles about Hurricane Katrina written by authors affiliated with LSU Health – New Orleans between January 2005 and December 2009.

Mapping Food Justice: Urban Farms And The Examination Of Equitable Food Access, Aaron Avila, Mark Ayiah, Jake Stavely, Marc T. Sager, Maximilian K. Sherard, Anthony J. Petrosino

SMU Journal of Undergraduate Research

In this project, we worked alongside members from an urban farm in South Dallas to learn about issues related to food justice, urban farming, and food deserts. Using participatory design research methods, we created data visualizations showing how society can reduce inequities relating to food access produced in historically underserved neighborhoods. The research goals guiding this study are: a) to identify food deserts and urban farms in the Dallas-Fort Worth metropolitan region (DFW) and b) to determine which urban farms service the needs of these food deserts. To identify food deserts, we took two steps: First, we used open-access data …

The Effect Of Group Counseling On Hope With Diverse Undergraduates During Sustainability-Focused Internship, Hailey Spinks, Michael D. Hannon, Matthew Murray, Nina M. Goodey, Lora Billings, Amy Tuininga

PSEG Institute for Sustainability Studies Publications

Many adolescents report feeling overwhelmed, depressed, anxious, and hopeless in the face of global climate change. These feelings are both valid and antithetical to the necessary hope and courage it takes to address real-world environmental crises and contribute to meaningful societal impact. The Green Teams Program, an internship-based experiential learning initiative, prepares young professionals with skills and knowledge needed to address these challenges and provides an intentionally inclusive and safe environment for students from all backgrounds to do so. This structured environment includes psychoeducational group counseling among other supports. Intern self-assessments revealed significant gains in measures of Hope, Agency, …

Ai Is Not The New Dei: Academia’S Addiction To The Next Big Thing, Essraa Nawar

Library Articles and Research

"Every August, as campuses come back to life across the country and the world, I notice the same rhythm: new policies announced, committees formed, webinars scheduled, and fall conferences themed around the latest 'big thing.'

This fall? No surprise. The wave is artificial intelligence.

AI task forces are meeting weekly. Universities are drafting 'responsible AI' policies. New centers and certificates are being launched. Syllabi are being rewritten. Symposia and faculty retreats promise that AI will 'redefine the future of education.'

It is bold. It is ambitious. But it is also deeply familiar."

08.25.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Research Security Required Training
• ORED Research Reception

The Relationship Between Self-Talk And Self Esteem Amongst University Students, Weam Batarfi, Saddiga Al-Ghalib

Effat Undergraduate Research Journal

The theory of self-talk is important to human nature and has the capacity to enhance person's life. In addition, self-esteem plays a major role in mankind life, either in a positive or a negative way. This work was done to analyze the relationship between self-talk and self-esteem among university students. This work was carried out based on quantitative method. For this work, the sample population was university students and the sample size used was 100 students. Data collection was done using survey method. Furthermore, the scales that were used are the Self-Talk Scale development, Factor Analysis, and Validation and self-esteem …

Potential Pitfalls In Visual Models Of Tipping Points - And How To Fix Them, Jonathan Dechert, Svetlana Gurevich, Stefan Heusler

Northeast Journal of Complex Systems (NEJCS)

Visual models play a crucial role in both science and science communication. However, the distinction between mere analogies and mathematically sound graphical representations is not easy and can be misunderstood not only by laypeople but also within academic literature itself. Moreover, even when the graphical representation exactly corresponds to the mathematical model, its interpretation is often far from obvious. In this paper we discuss the potential landscape visualization commonly used for tipping points in the context of nonlinear dynamics and reveal potential pitfalls, in particular when distinguishing bifurcation induced tipping (B-tipping) from noise-induced tipping (N-tipping).

We propose new visualization techniques …

Enhancing Cataract Surgery Outcomes: Optimal Use Of Pre- And Post-Operative Eye Drops, Keith Skolnick M.D., Anu Valiaveedu

Mako: NSU Undergraduate Student Journal

Many preoperative and postoperative cataract patients struggle with comprehending the use of prescription medication as directed. Language barriers and low health literacy levels are major factors contributing to improper use of prescriptions. To increase patients comprehension, the Fort Lauderdale Eye Institute employed an educational intervention consisting of a live presentation and an instructional video. Results found that 44% of patients were hesitant to ask questions to clinical staff, 32% felt overwhelmed, and nearly 70% lacked confidence in using their prescribed eye drops. Following the intervention, 91% of patients reported increased confidence in their medications, and most indicated that the video …

From Infection To Restoration: A Case Study On Dental Extraction In The Maxilla Anterior, Melanie Ramirez

Mako: NSU Undergraduate Student Journal

A dental implant is a restorative surgical procedure that serves as a solution to replace missing teeth that imitate the function, sensation, and appearance of natural teeth. The objective of this dental case study is to examine the diagnosis, treatment, and post-operation of a patient with a history of tooth loss and infection in the anterior maxilla. This case follows a 55-year-old patient, Jorge Marquez, name changed for confidentiality, who presented a severe tooth abscess on tooth #10 on the anterior maxilla which had previously undergone root canal treatment (Figure 1B). Radiographic evaluations illustrated the severity of the abscess the …

Impact Of Retrieval Augmented Generation And Large Language Model Complexity On Undergraduate Exams Created And Taken By Ai Agents, Erick S. Tyndall, Colleen Gayheart, Alexandre Some, Joseph Genz, Torrey J. Wagner, Brent T. Langhals

Faculty Publications

The capabilities of large language models (LLMs) have advanced to the point where entire textbooks can be queried using retrieval-augmented generation (RAG), enabling AI to integrate external, up-to-date information into its responses. This study evaluates the ability of two OpenAI models, GPT-3.5 Turbo and GPT-4 Turbo, to create and answer exam questions based on an undergraduate textbook. 14 exams were created with four true-false, four multiple-choice, and two short-answer questions derived from an open-source Pacific Studies textbook. Model performance was evaluated with and without access to the source material using text-similarity metrics such as ROUGE-1, cosine similarity, and word embeddings. …

Project-Based Learning With Odes: Modeling Straw Rocket Motion With Air Resistance, Viktoria Savatorova, Ethan Dyer, Aleksei Talonov

CODEE Journal

This paper presents a hands-on project that guides students through building and validating a mathematical model of projectile motion. The project starts with the idealized case of motion under gravity without air resistance and then introduces air drag : first as a linear force, and then as a nonlinear quadratic force, with the Reynolds number providing the justification for the quadratic model. Students perform experiments with vertical and angled launches, capturing and analyzing motion data using video analysis software. Vertical launch data allows parameter estimation via least squares fitting of the nonlinear drag model, yielding values for initial velocity and …

The Future Of The Arab Media Industry In Utilizing Artificial Intelligence Technologies: A Foresight Study (2024 To 2034), Mohammedwesam Amer, Abdullah Mohammed Atbiqa

This study explores the future of the Arab media industry from 2024 to 2034 in light of the increasing integration of artificial intelligence (AI) technologies. It identifies key media sectors likely to be affected by AI—such as content creation, news production, editing, and audience engagement—and proposes strategies for effective implementation. The study employs a descriptive survey methodology grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected via an electronic questionnaire from a purposive sample of 264 respondents across 18 Arab countries, including academic elites and media professionals working with Arab media institutions. Findings reveal …

U.S News & World Report 2025 Graduate Program Rankings, Unlv & Unr, Dre Boyd-Weatherly, Caitlin J. Saladino, William E. Brown Jr.

Higher Education

This fact sheet presents 2025 graduate program rankings for the University of Nevada, Las Vegas (UNLV) and for the University of Nevada, Reno (UNR) based on the data published in spring 2025 by U.S. News & World Report. The graduate program categories reported include business, education, engineering, fine arts, law, medicine and health care, sciences and mathematics, and social sciences and humanities.

Computer-Automated Systems And Methods For Using Language Models To Generate Text Based On Reading Errors, Scott Sosso, Siyu Chen, Ciara Figliuolo, Jack Mostow, Marlies Goes

AFIT Patents

A computer-implemented system and method generate personalized text based on statistics derived from input received from a user representing the user's attempts to decode graphemes into phonemes. Such statistics may be measured and recorded at the grapheme-phoneme level, and may include substitutions, insertions, deletions, and correct utterances of phonemes by the user when reading text. A language model may be trained based on characteristics of the user, such as the user's age and/or reading grade level, and the personalized text may be generated after such training of the language model. Generating the personalized text may include generating a text creation …

08.18.2025 Ored Connect, Liz Williamson

ORED Newsletter

ORED on-demand training, Tableau training, Research Reception 2025

08.11.2025 Ored Connect, Liz Williamson

ORED Newsletter

F and A rates

ORED Research Reception

NSF Audit Final Resolution and Compliance Updates

The Legal System For Influencers On Social Media Platforms: A Comparative Study, Ahmad Ibrahim Ballal, Najem Riyad Al-Rabadi, Ma’Moun Rashed Al-Huneiti

This study explores the legal regulation of social media influencers through a comparative analysis between French and Jordanian legislation. The research problem lies in the absence of a clear and comprehensive legal framework regulating influencers' growing role in shaping public opinion. Using the comparative analytical method, the study examines relevant legal texts and regulatory approaches in both jurisdictions. The findings highlight significant differences, with France enacting a specific law to govern influencer activities, while Jordan still relies on general legal provisions. The study recommends drafting a dedicated Jordanian law that outlines influencers' legal responsibilities and balances freedom of expression with …

Representations Of The Other In Hamas's Media Discourse During The "Al-Aqsa Flood" Operation: A Rhetorical Analytical Study, Enad Mamdouh Al-Zaben, Sabah Al Harahsheh

This study aimed to determine how the Hamas movement represented the "other" in its media discourse during the "Al-Aqsa Flood" operation. To achieve this goal, the study relied on the qualitative analytical approach, specifically rhetorical discourse analysis. The study sample included all Hamas's media spokesman speeches, between October 7, 2023, and January 1, 2024, numbering 11 speeches. The study results showed that Hamas's media discourse focused on portraying two main groups: "us" and "them." The "us" group included the Palestinian people in all their spectra. They were referred to using terms with positive connotations such as: "the steadfast," "the one …

Bring Back The Blue-Book Exam: In An Age Of Ai, We Need To Return To Handwritten Assignments., Katie Day Good

University Faculty Publications and Creative Works

When ChatGPT was released three years ago, its ability to mimic human writing unsettled me. I’m a professor of communication; what did it mean that my students now had access to a machine that could communicate for them? My initial unease led to a half-joke with my colleagues. Universities could survive this threat, I ventured, but only if we reverted back to 19th-century teaching methods like Socratic dialogue, oral defenses, and lengthy essay exams. This once-laughable scenario is now a serious consideration for many faculty, including me.

Like many professors, I’ve recently abandoned take-home essays in favor of blue-book exams. …

08.04.2025 Ored Connect, Liz Williamson

ORED Newsletter

NIH limits AI use and annual proposals accepted per PI

Deposition Of Nickel/Iron Oxide Co-Catalysts Onto Titanium Dioxide Towards Water Photolysis, Md Towhidul Islam Tareqe

Masters Theses & Specialist Projects

Photocatalytic water splitting is one potential approach for sustainable hydrogen production, offering an environmentally friendly alternative to fossil fuels. This process typically employs metal–semiconductor hybrid systems, where the semiconductor absorbs sunlight to generate charge carriers, and the metal cocatalyst facilitates charge separation and surface redox reactions. Titanium dioxide (TiO₂) is a widely studied semiconductor due to its stability and abundance, but its limited absorption of the solar spectrum requires the incorporation of efficient cocatalysts. Platinum is regarded as the benchmark cocatalyst due to strong proton binding energy that easily facilitates the reduction of water to produce hydrogen gas. …

It’S A Lightboard … And A Glassboard!, Craig Looney

Physics Faculty Publications

In this poster I present an innovative lightboard-glassboard design concept and prototype. The device, when not in use as a lightboard, is positioned against a wall in a low-profile configuration and used as an illuminable office glassboard. For video production, the device – supported and guided by a robust anti-tip rail system – is safely rolled away from the wall and used as a lightboard. This device has several advantages over traditional mobile lightboard designs including ease and reliability of setup, elimination of storage and transport issues, usability in modest-sized offices, and functionality as an illuminable glassboard when not in …

Ai-Enhanced Structured Literacy Intervention For Secondary Students: A Case Study Of Science Of Reading, Jennifer Bird

Teaching & Learning Faculty Publications

This study examines the effectiveness of Lexia PowerUp, an AI-powered literacy program, for sixth-grade students requiring Tier 3 reading intervention. Seven sixth-grade students (six boys, one girl; five African American, two Caucasian; all qualifying for free/reduced lunch) participated in a six-month intervention combining 50 minutes of daily small-group instruction with individualized Lexia PowerUp usage. Researchers measured progress through Achieve 3000 Lexile assessments and Lexia PowerUp performance data across three skill strands: Word Study, Grammar, and Comprehension. All participants demonstrated Lexile level improvements from beginning-of-year to mid-year assessments, though students remained below sixth-grade benchmarks (925-1070L). Analysis of Lexia PowerUp progression showed …

Faced With Genai, Educators’ Engagement Capacity Matters More Than Ever, Thomas Menkhoff

Research Collection Lee Kong Chian School Of Business

In a commentary, SMU Professor of Organisational Behaviour & Human Resources (Education) Thomas Menkhoff stressed the need for educators to upskill so they can guide students in using generative artificial intelligence (GenAI) responsibly, rather than dismissing it. He argued that universities should move beyond prohibition and invest in AI literacy to safeguard academic integrity. Prof Menkhoff mentioned that combining the use of GenAI tools with effective prompting and Socratic questioning transforms students’ use of technology from passive consumption to active, reflective and critical engagement. To achieve this, he said that schools must set clear guidelines and design AI-compatible assessments that …

Traffic Prediction For Research And Education Networks: Anomaly-Aware Deep Learning And Benchmarking, Mohammad Arafath Uddin Shariff

School of Computing: Dissertations, Theses, and Student Research

Research and Education Networks (RENs) and High-Performance Computing (HPC) environments are critical infrastructures for modern scientific discovery, demanding sustained high-throughput and low-latency data transfers. Unlike commercial networks, RENs exhibit unique traffic characteristics, including predominant “elephant flows,” inherent burstiness, and complex temporal-spatial dynamics often decoupled from human-driven cycles. Traditional traffic forecasting methods, tailored for commercial Wide Area Networks (WANs), consistently fail to capture these distinct REN dynamics, leading to inefficient resource management and potential impediments to scientific progress.

This thesis addresses this critical gap by developing and validating a robust, scalable, and anomaly-aware traffic forecasting framework specifically tailored for REN/HPC networks. …

Tree-Based Differential Item Functioning Detection Methods: Exploring Their Performance In Diverse Measurement Scenarios, Nana Amma Berko Asamoah

Graduate Theses and Dissertations

Despite the availability of numerous methods for detecting differential item functioning (DIF), the continued development and evaluation of innovative, data-driven approaches remains essential. Tree-based methods, in particular, represent a significant advancement in DIF detection. Unlike some traditional techniques, they can simultaneously screen multiple variables for DIF without discretizing continuous variables, and do not require the pre-specification of focal and reference groups; capabilities that are especially valuable in today’s diverse and multifaceted assessment contexts. However, research systematically examining the performance of these methods under realistic measurement conditions is limited. This dissertation, in three simulation studies, critically examines the robustness and practical …

Artificial Intelligence Integration And Teachers' Self-Efficacy In Physics Classrooms, Fouad Yehya, Areej Elsayary, Ghadah Al Murshidi, Ahmed Al Zaabi

All Works

The United Arab Emirates (UAE), in its vision 2021 and the UAE centennial 2071 plan, highlights the essential role of artificial intelligence (AI) and technology in shaping a knowledge-based, future-ready society. This study explores the integration of AI in physics classrooms, focusing on secondary education in the UAE. It also investigates the perceptions and self-efficacy of physics teachers regarding the use of AI tools in classroom settings. A qualitative research design was employed to gather in-depth insights from 15 physics teachers across schools in Sharjah, assessing their confidence and readiness for AI integration through the lens of the attitude and …

Do Themes Improve Visitor Outcomes In Interpretive Programs?, Amber K. Hawes

All Theses

Thematic interpretation is widely promoted as being integral to an effective interpretive program. Some studies have suggested that thematic interpretation may enhance visitor outcomes; however, park visitor demographics have changed over the last decade, and others have suggested alternative approaches. In this study, we systematically observed live interpretive programs at 330 programs at 52 National Parks across the United States, monitored the extent and characteristics of theme usage, and collected visitor surveys immediately following each program. We used these data to determine the influence of the presence and characteristics of themes and theme questions on visitor outcomes. The results suggest …