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@Egan Newsletter 2025 Convocation Edition, Kaia Henrickson, David Cox, Ramona Broussard, Jessy Goodman, Jennifer Ward

Egan Library News

No abstract provided.

Ddx219.2 Social Media Content Creation Example 5, Sae University College

Exemplars

This project involved creating a cohesive suite of social media content tailored to the student’s chosen creative project. The work is exemplary for its consistent visual style, platform-specific content design, and alignment with the strategic goals defined earlier. Additionally, the student demonstrated strong collaborative skills by providing thoughtful, constructive feedback to peers, reflecting both creative and professional growth.

Social Thought From The Ruins: Quixote’S Dinner Party, David A. Westbrook

Books

Through stories, conversations, and essays, this book pursues interwoven critical and philosophical inquiries into the nature of the contemporary in the North Atlantic, asking how are we to live as intellectuals, individually and in community? Social Thought From the Ruins: Quixote’s Dinner Party is the product of informal discussion and academic work done over the last two decades among an international group of social scientists. An extended critique of academic life today and the context of our own thinking, this book interrogates aspects of our modernity, with its pervasive sense of crisis and uncertainty, and the difficulty of thinking clearly …

Impact Of Exchange Traded Funds (Etf) Holdings On Retail Investors’ Mutual Fund Portfolios Performance, Arunachalam R Mr

Theses and Dissertations

As evidenced by the practices passed down through generations the importance of savings and investments is well established in Indian culture. Indian investors consider investment as an essential commitment to financial sustainability and safeguarding dependents. Indians implement investment strategies during their working years to ensure long term financial security and support for future generations.

These cultural practices support the foundation of personal finance in India and well established financial theories (MPT, CAPM and EMH) guide optimising investment outcomes (SEBI, 2020). The effects of inflation and increased life expectancy made Indian investors aware of the need for a substantial financial corpus …

Strontium Isotope Movement Modeling Of Modern And Ancient Megafauna In Alaska, Audrey Rowe

Biological Sciences

Strontium isotope analysis is a technique that can be used to infer the geographic origin of biological materials. The strontium isotope ratios (87Sr/86Sr) of biological tissues can be matched to locations on a modeled strontium geographic distribution (“isoscape”) with similar 87Sr/86Sr. In this dissertation, I measured 87Sr/86Sr and other stable isotopes along the length of a mammoth tusk to model its lifetime movement and infer details about its food sources and nutritional status. I then adapted this modeling method to caribou tooth enamel to compare modern and premodern caribou space use in interior Alaska and built a new 87Sr/86Sr isoscape …

Investigation Of Dependency Parsing Techniques For Digital Document Analysis Through Deep Learning Approach, Rekah D Ms

Theses and Dissertations

Digital document dependency parsing is a significant task in natural language processing. Dependency parsing supports verification of the grammatical correctness of a sentence besides enabling extraction of relevant documents. Inappropriate extraction of features may result in falsely parsing a document, leading to decreased accuracy. Machine learning methods have been employed to perform feature extraction. However, selecting pertinent features was never achieved which minimizes the time consumption and overhead.

Hence, novel machine learning and deep learning techniques have been designed in our work for accurate and computationally efficient digital document analytics through dependency parsing. Four different contributions have been proposed for …

Bridging Scales In Epidemic Modeling From Individuals To Networks And Ecosystems, Saiprasasd Vr

Theses and Dissertations

Epidemics have shaped the trajectory of human history, repeatedly exposing vulnerabilities in healthcare systems and influencing socio-economic dynamics on a global scale. The COVID-19 pandemic, in particular, underscored the pressing need for flexible and responsive modeling framework capable of adapting to dynamic and evolving epidemic scenarios. Motivated by these challenges, this thesis explores the development of innovative epidemic models that integrate classical mathematical modeling techniques, network-based frameworks, and modern data-driven approaches. Each chapter addresses a distinct dimension of epidemic spread, from vaccination dynamics and community coupling to ecological complexity and adaptive human behavior, culminating in a model-free paradigm suitable for …

Evidentiary Practices In Arbitration: Need For A Minimum Framework, Krishnaja Olappamanna

Theses and Dissertations

Indian arbitration has emerged as a preferred method of dispute resolution, offering the benefits of flexibility, cost-effectiveness, and confidentiality over conventional litigation. Although this flexibility, more specifically in evidentiary matters, has brought procedural inconsistencies and uncertainties that detract from the enforceability of arbitral awards.

This is in line with Section 19 of the Arbitration and Conciliation Act of 1996, which prohibits arbitral tribunals from following the Indian Evidence Act of 1872 or the Code of Civil Procedure of 1908. While the provision allows procedural autonomy, it also brings with it an uncertainty in the evidentiary process of arbitrations, mostly when …

Cyclone Intensity Prediction In The Bay Of Bengal Using Deep Learning Methods, Senthil Kumar J

Theses and Dissertations

The Bay of Bengal region's coastlines have been badly devastated by tropical cyclones, as the region experiences an average of five to six cyclones per year, with about two to three of these intensifying into tropical storms or severe cyclones. Thus it necessitates to study the accurate and efficient forecasting of their intensity to improve preparedness and response to natural disasters. The present study compares and examines three distinct approaches to cyclone intensity prediction using historical datasets from 1998 to 2020: hybrid optimisation, deep learning-based, and empirical approaches.The predicted accuracy, computational effectiveness, and feasibility for real-time scenarios of each model …

Development Of Powder Activator From Agro-Industrial Waste And Its Application In The Preparation Of One-Part Alkali Activated Concrete, Anoop Kn

Theses and Dissertations

The environmental concerns associated with the traditional ordinary Portland cement (OPC) such as CO2 emission and high energy demand along with resource depletion as binder has led to the development of alkali activated binders (AABs). Even with the reduction in environmental issues, the implementation of AAB in practice is hindered by the handling issues of liquid activators. Hence, it is required to develop AAB with powdered activators to address the handling issues and to further reduce the environmental issues related to the production of activators. This research investigates the development of one-part alkali-activated concrete (OAAC) system utilising wastederived materials as …

Design Of An Integrated Lightweight Cryptographic Algorithm For Device Level Security And Fraternal Cryptographic Algorithm For Communication Security In Medical Cyber Physical Systems, Vimala Devi P

Theses and Dissertations

Healthcare involves detecting symptoms, diagnosing conditions and giving treatment to patients. It is one of the fundamental human rights, and it might be difficult to provide healthcare to those with chronic illnesses, elderly people with disabilities and those under distant observation. The World Health Organisation (WHO) states that Cardio Vascular Disease (CVD) is the leading cause of death worldwide.

According to the prediction, CVD-related causes such as heart attacks and strokes, could result in 23.3 million deaths by 2030. In addition, the number of people with diabetes will reach 246 million; thereby, the prevalence of CVD patients and diabetics will …

Design And Development Of Machine Learning And Deep Learning Based Algorithms For Cyberattacks Detection, Abiramasundari S

Theses and Dissertations

E-mail is the fastest mode of communication. It is amongst the most commonly used modes of communication and can be used for both legal and illegal purposes. Many elements that could be useful in detecting email fraud are constantly being investigated. Phishing assaults in which thieves use Internet to trick consumers into visiting fake websites are very common and are causing significant harm to victims. Several methods of filtering phishing emails have been devised but a solution to the problem still evades. One of the attacks addressed in this research is email phishing. Machine learning is a popular and efficient …

Investigations Of Secure Memory For Vlsi Based Crypto System, Vijay Sai R Mr

Theses and Dissertations

Semiconductor technology is growing very rapidly in their architectural developments, involving the usage of processor and memory. Presence of memory, in general is a vital commodity in various devices which are almost embedded into human activity, from robust work stations to handy mobile phones. Security of data stored in memory is very important, and hence, observation must be made that these valuable data should not be thwarted by malicious means. Security in cache memory is a major issue in memory related applications such as smart cards and bio-metric implementations.

Cache, is a small and limited memory located between central processing …

Dissolved And Particulate Nutrient Dynamics In The Northern Gulf Of Alaska: A Productive Subarctic Shelf Ecosystem, Emily Ortega

Oceanography

The Northern Gulf of Alaska (NGA) is a biologically productive system, culturally and economically sustaining Alaska’s coastal communities, with inorganic nutrients as an important foundation of this important food web. Nonetheless, seasonal cycles, interannual variability, and nutrient chemistry all influence nutrient dynamics, creating challenges in the overall understanding of the NGA ecosystem and the resources it provides. Therefore, this work examines nutrient sources, sinks, and trends over time and location to identify and explain key nutrient dynamics within the NGA. One key process is the exchange between dissolved (potentially bioavailable) and particulate nutrients that is examined in Chapters Two and …

Geol 12 Natural Disasters Syllabus, Anestoria Shalkowski

Open Educational Resources

Hazards are events which have the capabilities to damage property and or life. Understanding natural hazards and how these can become disasters are important in reducing the impacts of such events. This syllabus provides a description of the material to be examined and the expected student outcomes upon completion of the course.

Genomic Surveillance Of Indian Klebsiella Pneumoniae And Exploration Of Resistance Inhibitors, Abhirami Ks Ms

Theses and Dissertations

Klebsiella pneumoniae is an important ESKAPE pathogen that causes life threatening infections. The strains exhibiting multidrug-resistance (MDR) and hypervirulence are the priority pathogens for which immediate treatment and dissemination prevention strategies are required. To address this, genome profiling was performed to understand the AMR patterns, role of episomes, phages, virulence determinants and its association with sequence types.

The study includes 267 publicly available Indian K. pneumoniae genomes over a period of ten years and four sequenced isolates. Whole genome analysis revealed the widespread presence of diverse β-lactamase genes, with β-lactam resistance being predominant. Genes such as blaCTX-M-15, blaTEM-1B and blaOXA-232 …

An Investigation Of Ichthyophonus Infection Related In-River Mortality In Yukon River Chinook Salmon From Multiple Knowledge Systems: Indigenous, Local, And Western Science, Keith D. Herron

Fisheries

The recent historic low salmon returns in the Yukon River contribute to an ongoing humanitarian crisis for subsistence users and Indigenous Peoples with cultural and well-being ties to salmon. After over a decade of relative calm, the marine parasite Ichthyophonus has undergone a resurgence and is once again infecting Yukon River Chinook salmon (Oncorhynchus tshawytscha; king; Taryaqvak; Ggaal; Gath; Łuk choo, hereafter referred to as king salmon) at high rates, with currently unknown consequences for survival of migrating adults. This thesis pairs multiple knowledge systems to assess the prevalence, severity, and impact of Ichthyophonus on adult Yukon River king salmon …

Navigating The Psychosocial Landscape Of Ehlers–Danlos Syndrome: An Autobiographic Case Study, Jessica D. Locke, Jason T. Eastman

Sociology

Living with a rare disorder, such as Ehlers–Danlos Syndrome (EDS), presents unique psychosocial challenges. This autobiographical case study explores the psychological, social, and professional impacts of navigating life with hypermobile EDS (hEDS), a condition marked by chronic pain, joint instability, and diagnostic uncertainty. Placing personal experiences into the context of clinical findings and research, this study highlights both the physical and emotional toll of the syndrome, including stigma, isolation, and medical gaslighting often accompanying rare conditions. The first-person case study of the first author extracted by the second author experienced in qualitative interviewing provides a first-hand account of the importance …

Effects Of Eogo In Metakaolin-Based Geopolymer, Chaewon Lee, Hoyoung Lee, Jinwoo An, Boo Hyun Nam

Civil Engineering Faculty Publications

Geopolymer concrete uses a geopolymer binder instead of traditional Portland cement; thus, it reduces carbon emissions by a significant amount. In this study, Edge-Oxidized Graphene Oxide (EOGO), a carbon-based nanomaterial, was added into a metakaolin-based geopolymer, and its effect on the mechanical and rheological properties of the mixture was investigated. EOGO was added into the mixture at 0% (control), 0.1%, 0.5%, and 1% of the metakaolin mass. Several experiments were conducted to characterize the properties of the metakaolin–EOGO (MKGO) geopolymer, including its compressive strength, free–free resonance column (FFRC), void content, water absorption, setting time, flow, and rheology. It was found …

Seasonal Predictability Of Sea Ice And Boreal Fire In Alaska, Cecilia Borries-Strigle

Atmospheric Sciences

Attribution studies have shown that warming Arctic temperatures have led to a substantial loss of sea ice and an increase in large wildfire seasons. With wildfire and sea ice decline impacting everyday life by disrupting transportation or damaging infrastructure, for example, a clear need for skillful forecasts at seasonal timescales has emerged. This dissertation addresses critical challenges in seasonal prediction for wildfire and sea ice in Alaska. The first study evaluates outlooks of Buildup Index derived from three seasonal forecasts to assess their skill in predicting fire conditions. Forecast skill is greatest during the wind (April 1-June 10) and drought …

Toward Multidisciplinary Volcanic Eruption Models And Forecasts In Alaska: Contributions From Automated Seismic And Acoustic Signal Detection, Darren Tan

Geosciences

Explosive, ash-generating volcanic eruptions pose an increasing threat to a growing, globally connected population. Accurate forecasts of volcanic eruptions remain challenging due to the complex­ity of volcanic systems, but recent multidisciplinary synthesis efforts have proven effective. The National Science Foundation Prediction of and Resilience against Extreme Events (PREEVENTS) project aims to re-analyze and combine multidisciplinary observations at eight Alaska volcanoes to develop eruption forecast models. Leading the seismology and infrasound discipline, this dis­sertation details the development of automated tools capable of producing high-resolution catalogs of volcanic unrest signals from continuous seismic and acoustic data. By leveraging these catalogs and synthesizing …

Geotechnical Investigation Of Sand Flow Slides, Haines, Alaska, Christopher Kalev

Engineering

The Lutak Spur (LS) - a prominent glacio-deltaic landform located near Haines, Alaska - formed during the retreat of the Cordilleran Ice Sheet during the Last Glacial Maximum. This study evaluates its geologic evolution, soil development, and hydrologic-slope stability response to a December 2020 atmospheric river (AR) event, which triggered multiple slope failures. Geologic mapping and interpretation of previous work suggest that the LS formed as an ice­ contact kame delta at the margin of a retreating valley glacier. Following deglaciation, post­ glacial isostatic adjustment and sea-level changes exposed the LS surface, allowing for the development of Spodosols with iron-cemented …

Effect Of Climate Change On Arctic Water Quality, Karki Sarthak

Engineering

Climate change is fundamentally altering Arctic hydrological systems, impacting water quality and posing challenges for communities dependent on these vulnerable sources. This study examines water quality trends across three distinct Arctic contexts: (1) Arctic glaciers, (2) the Yukon River Basin (YRB), encompassing a five-year dataset (2019-2023) of dissolved organic carbon (DOC), sulfate, and stable water isotopes (δ2H, δ18O, and d-excess) across varying permafrost regions and seasons, and (3) Shishmaref, Alaska, where a washeteria-based drinking water system is affected by environmental and seasonal changes triggered by climate change and coastal erosion. By addressing both regional hydrology and community-specific challenges, the study …

Exploring Longitudinal Stability Of Spatiotemporal Sequential Patterns By Means Of Autoencoder Schemes For Eeg Based Personal Identification, Muhammed E. Oztemel

LSU Doctoral Dissertations

Robust personal identification remains a critical and challenging task in the digital era. Electroencephalography (EEG) offers a unique biometric modality that captures individual brain dynamics through complex neural signals. This dissertation proposes autoencoder (AE) based feature extraction and subject identification through these features. EEG recordings are first transformed into topographic maps to represent spatial brain activity. Consecutive topomaps are then concatenated to capture temporal transitions across frames. Convolutional autoencoders (CAEs) are used to learn spatial and temporal patterns, while domain-adaptive AEs are designed to model evoked potential based responses. Additionally, self-attention mechanism is incorporated to enhance feature representation. To analyze …

Differences In Fitness Between Cadet And General Population Firefighter Academy Recruits, Scott D. Brau, David Cornell, Benjamin J. Mendelson, Rudi A. Marciniak, Kyle Ebersole

International Journal of Exercise Science

International Journal of Exercise Science 18(8): 774-793, 2025. This longitudinal study explored entry route- and age-related fitness differences between cadet (CR) and general population (GR) firefighter recruits. Fitness data were collected from eight separate firefighter recruit academy cohorts (N = 317; 122 CR, 195 GR; 27.17 ± 7.58 yrs, 177.30 ± 8.72 cm, 88.65 ± 17.78 kg). In the first week of the academy, recruits completed an assessment battery including: body composition via skinfold measures to estimate body fat (BF, %) and fat-free mass (FFM, kg); aerobic fitness (VO_2peak, mL· kg^-1· min^-1) and …

An Integrated Literature Review Examining Nurse Burnout Interventions, Wislande Joseph

DNP Qualifying Manuscripts

Nurse burnout has detrimental consequences for patients, nurses, and organizations and can negatively impact patient outcomes, nurse quality of life, and organizational costs. This integrated literature review aimed to examine interventions for nurse burnout in order to identify what characterizes effective interventions, whether evidence supports implementing such interventions, and how the most commonly-implemented intervention type (mindfulness-based) in particular impacts signs and symptoms of nurse burnout. A two-part search was conducted of CINAHL, PubMed, Google Scholar, and APA PsychInfo. Part one investigated burnout interventions broadly using the primary search terms nurse burnout and interventions; part two focused specifically on mindfulness-based interventions …

Group Social Skills Training Intervention For Students With Autism Spectrum Disorder, Kayla Hearl

Educational Specialist, 2020-current

Some of the challenges for children with autism spectrum disorder (ASD) include social engagement as well as building and establishing relationships with peers. Social skills training programs have been used to improve social skill development in children with ASD. The current study sought to examine the use of a group social skills training intervention to develop the perspective taking skills of children with autism spectrum disorder (ASD). The Social Thinking curriculum, “You Are a Social Detective” was implemented with a small group of two students with ASD over the course of 10 weekly sessions. The students’ teachers completed the Social …

Uncovering The Hidden High School Experiences Of Asian American Young Adults: A Mixed Methods Approach, Julia Shin

Educational Specialist, 2020-current

Most research regarding Asian American adolescents’ high school experiences have been quantitative in nature, leaving out the nuances of their lived experiences. While quantitative data is important to gather measurable, objective data from a larger sample of people, qualitative data is also important to add depth and humanness to participant responses. Thirty-two Asian American young adults participated in a mixed methods study that consisted of a survey and optional focus group, aiming to explore the impact of the internalization of the model minority stereotype (MMS), ethnic identity, and representation of racially and ethnically minoritized teachers on their high school experiences. …

Considering Climate Contexts: Examining Promotive And Punitive School Characteristics Among Diverse High School Students, Ashley Bazin, Maryse Richards, Akila Raoul, Allison Lloyd, Elizabeth Rovegno, Yael Granot

Psychology: Faculty Publications

Schools are a critical developmental context for adolescents that can, depending on certain characteristics, do a better or worse job at promoting student resilience and well- being. In working to meet student needs and respond to student behaviors, schools can exhibit more punitive characteristics, like exclusionary discipline practices, or more promotive characteristics, including restorative practices and marshaling of mental health resources. While punitive factors have been associated with more negative outcomes, especially for marginalized students, and promotive factors have been associated with more positive outcomes for students, these factors have rarely been considered together. We conducted an online survey of …

Kenneth Wilson Stringer [Inducted 2018], American Accounting Association

Accounting Hall of Fame Brochures

No abstract provided.