Digital Commons Network^™

Effects Of Fast And Slow-Wilting Soybean Genotypes On Plant-Herbivore Interactions, Jessica Ayala

Graduate Theses and Dissertations

Soybean [Glycine max (L.) Merr.] is one of the most important food crops in the world due to its multiple uses in agriculture sector. A major limiting factor in soybean production system is drought stress, causing up to 80% reduction in yield. Due to climate change and associated rise in ambient temperatures, water scarcity is a major concern in crop production, and consequently researchers are turning to soybean accessions that demonstrate better water use efficiency (WUE) traits. However, field grown soybean is also under severe pressure from insect herbivores, often accounting for a 30% reduction in yield. Among these, …

Perceived Barriers And Facilitators Of Behavioral-Health Modality Change Adoption During The Covid-19 Pandemic: A Systematic Review, Nicholas Sims-Rhodes, Hannah E. Cornwell, Emily Barena, Vandy C. Dubre, Kimberly S. Elliott, Eman H. Nabulsi, Nelly Yuen, Sarah Sass, Anastasia Miller, Yordanos M. Tiruneh, Karan P. Singh

Presentations and Publications

Introduction: During the Coronavirus Disease 2019 pandemic, there was a surge in demand for mental health services worldwide, presenting challenges for healthcare institutions as they navigated changes in policy and safety regulations. In the United States, this resulted in many behavioral health modality changes to remain in compliance with the Center for Disease Control guidelines. A growing body of literature has documented these, yet few explored barriers and facilitators affecting the adoption of these modality delivery changes. The researchers conducted a systematic review using the PRISMA method, focusing on service delivery changes across healthcare systems in the United States from …

Boise State Magazine, Anna Webb (Editor)

FOCUS on Boise State

No abstract provided.

Utahns’ Generally Agree On Top Environmental Concerns, But Climate Change And Related Issues Reveal Political Polarization, Sarah E. Wilson, Jessica Ulrich-Schad

Utah People and Environment Poll (UPEP)

Utah is renowned for its unique landscapes and abundant opportunities to connect with the natural environment. However, the state is currently grappling with serious environmental challenges, including poor air quality, dwindling water supplies, and the alarming desiccation of the Great Salt Lake. These and other issues have major ecological and economic implications, and combating them will likely require large scale efforts. However, rising levels of political polarization are a common problem in the United States that many feel stifles our ability to combat societal problems, including those related to the environment and human health.

Aged 539- Internship In Agriculture Education - Waterford High School, Jennifer Pierce

Agricultural Education: Graduate Internship Reports

This report explores the development and implementation of an agricultural education program plan aimed at enhancing student engagement, community involvement, and career readiness. Drawing from established models of program planning and needs assessment, the report focuses on the integration of instructional strategies, supervised agricultural experiences (SAEs) and FFA involvement to foster comprehensive student development. The plan outlines key goals such as increasing student enrollment, improving curriculum alignment with industry standards, and expanding partnerships with local agricultural stakeholders. Strategies include curriculum enhancement, teacher professional development, and the use of data-driven decision-making. The report also emphasizes the importance of evaluation and continuous …

Video Game Development 3.0: Ai-Driven Collaborative Co-Creation, Jay Ratican, James Hutson

Faculty Scholarship

The evolution of game development has transitioned from manual coding (Software 1.0) to data-driven Artificial Intelligence (AI) (Software 2.0), and now to a more advanced stage—video game development 3.0. This phase is characterized by AI-driven processes leveraging large language models (LLMs), neural networks, and other AI techniques that autonomously generate code, content, and narratives. This paper explores the foundational technologies underpinning this paradigm shift, including customizable AI modules, dynamic asset creation, and intelligent non player characters (NPCs) that adapt to player interactions. It also highlights the integration of AI with emerging technologies like Virtual Reality (VR), Augmented Reality (AR), and …

Acute Alpha-Glycerylphosphorylcholine Supplementation Enhances Cognitive Performance In Healthy Men, Chad M. Kerksick

Faculty Scholarship

Background: Choline is an essential nutrient required for proper cell functioning. Due to its status as a precursor to acetylcholine, an important neurotransmitter connected to cognition and neuromuscular function, maintaining or enhancing choline levels is of interest. Supplementation with alpha-glycerylphosphorycholine (A-GPC) can maintain choline levels, but its ability to offer support towards cognition remains an area of ongoing research. Methods: Using a randomized, double-blind, placebo-controlled, crossover approach, 20 resistance-trained males (31.3 ± 11.0 years, 178.6 ± 7.3 cm, 84.6 ± 11.4 kg, 15.4 ± 5.6% body fat) consumed either a placebo (PL), 630 mg A-GPC (HD), or 315 mg (LD) …

Dileucine Ingestion, But Not Leucine, Increases Lower Body Strength And Performance Following Resistance Training: A Double-Blind, Randomized, Placebo-Controlled Trial, Anthony M. Hagele, Joesi M. Krieger, Connor J. Gaige, Kevin F. Holley, Kristen N. Gross, Joshua M. Ianotti, Leah E. Allen, Paige J. Sutton, Logan S. Orr, Petey W. Mumford, Martin Pupura, Ralf Jager, Chad M. Kerksick

Faculty Scholarship

Background

The essential amino acid leucine (LEU) plays a crucial role in promoting resistance-training adaptations. Dileucine (DILEU), a LEU-LEU dipeptide, increases MPS rates, however its impact on resistance training outcomes remains unexplored. This study assessed the effects of DILEU supplementation on resistance training adaptations.

Methods

Using a randomized, double-blind, placebo-controlled approach, 34 resistance-trained males (age: 28.3 ± 5.9 years) consumed 2 grams of either DILEU monohydrate (RAMPS™, Ingenious Ingredients, L.P.), LEU, or placebo (PLA) while following a 4-day per week resistance training program for 10 weeks. Changes in body composition, 1-repetition maximum (1RM) and repetitions to failure (RTF) for leg …

Common Questions And Misconceptions About Energy Drinks: What Does The Scientific Evidence Really Show?, Jose Antonio, Brandi Antonio, Shawn M. Arent, Darren G. Candow, Guillermo Escalante, Cassandra Evans, Scott Forbes, David Fukuda, Maureen Gibbons, Patrick Harty, Andrew R. Jagim, Douglas S. Kalman, Chad Kerksick, Jennifer A. Kurtz, Joseph Lillis, Lonnie Lowery, Gianna F. Mastrofini, Scotty Mills, Michael Nelson, Flavia Pereira, Justin Roberts, Michael Sagner, Jeffrey Stout, Jaime Tartar, Adam Wells

Faculty Scholarship

Energy drinks are a commonly consumed beverage, and studies suggest a possible performance-enhancing effect. A Google Scholar search using the keywords “energy drinks” and “exercise” yields numerous results, underscoring the voluminous research on this topic. However, there are questions regarding the effectiveness and safety of energy drinks. These questions include, but are not limited to: (1) What are the main active ingredients in energy drinks? (2) Do energy drinks assist in weight management? (3) Do energy drinks enhance aerobic performance? (4) Do energy drinks enhance athletic speed? (5) Do energy drinks improve reaction time? (6) Do energy drinks enhance lean …

Wide-Angle Non-Uniform Optical Phased Array Using Compact And Efficient Antenna Design, Omar E. Elsheikh, Mohamed A. Swillam

Faculty Journal Articles

In the need for a more compact and efficient optical phased array with a wide steering beam for LIDAR applications, a wide steering array with high resolution is desirable. However, in the published work, a trade-off is often made for one over another. Apodized grating antennas have shown good efficiency with a compact size and wide beam profile, which improve optical phased array beam steering capability and are also compatible with the CMOS silicon photonics process. A promising studies shows enhancement in steering range with good resolution utilizing a non-uniform optical phased array. In this work, we present two highly …

Laundry Program Evaluation, Jacen Greene, Sandra Comstock, Marisa Zapata

Homelessness Research & Action Collaborative Publications and Presentations

Nearly 4,000 people were reported as experiencing unsheltered homelessness in Multnomah County in 2023 (Theriault, Roots & Okeke, 2023). Studies by the Homelessness Research and Action Collaborative (HRAC) at Portland State University and other researchers have identified an urgent need for free laundry services among people experiencing unsheltered homelessness in the Portland region. A lack of access to clean laundry is associated with negative impacts on mental and physical health, as well as environmental impacts from wet or dirty textiles that are discarded rather than being reused.

In an attempt to address these and other issues, the City of Portland …

The Ethics Of Vulnerability In Health Care, Hannah Dieterle

Electronic Theses and Dissertations

This dissertation seeks to address vulnerability within clinical healthcare settings. Currently, clinical vulnerability is underrecognized and insufficiently researched which leads to the perpetuation of negative health outcomes for vulnerable populations. Specifically, there is a lack of a consistent and universal definition of vulnerability which has built a shaky foundation on which to discuss vulnerability. This dissertation begins to address these issues and increase awareness on clinical vulnerability due to some populations experiencing the devastating effects of vulnerability at a higher and disproportionate rate when compared to other populations. There is a clear need for increased attention from ethicists and medical …

An Interpretive Phenomenological Analysis Study: The Children Of Black Southern Protestant Theological Leaders, And Mental Health Implications, Kimberly Frantae Paige

LSU New Orleans Theses and Dissertations

According to Lee (2015), most PKs have their own personal stories about their complicated relationship with the church. The kids of Pastors experience pressure to satisfy their parents, peers, and the congregation. They also experience scrutiny and feel they are living “life in the fishbowl” (Benjamin et al., 2021). Meaning their lives and life decisions are constantly on display and discussed or questioned by onlookers; especially the community and members of their congregation (Benjamin et al., 2021). Meanwhile, they are trying to understand who they are, separate from who their parents are, and who society and the congregation thinks they …

Transmission Main Construction Management - An Assessment Of Project Tracking During Transition To A Cloud Based System, Martin C. Munger

LSU New Orleans Theses and Dissertations

A massive $2B settlement between the Federal Government and the City of New Orleans to remediate the damage to municipal infrastructure from Hurricane Katrina and the failed USACE levee system required the repair of roughly 400 of 1600 miles of roadways in New Orleans. The mandated repairs included many subsurface utilities below those roads. Traditional engineering construction project management practices proved inadequate to manage such a massive undertaking on the strict timelines mandated by FEMA funding. Unprecedented volumes of work for the engineering and construction industries and the government agencies tasked with performing the work from design through construction revealed …

Sufficemi Or Life Noncyclic, Luca Van Der Heide

LSU New Orleans Theses and Dissertations

No abstract provided.

A Talking Cart, Abdullah Bin Naeem

LSU New Orleans Theses and Dissertations

This research investigates the development of a robust AI-powered detection and tracking engine aimed at revolutionizing the retail checkout experience. The foundation of this work is a comprehensive exploration of state-of-the-art Computer Vision methodologies, particularly focusing on object detection, segmentation, and tracking. The study employs a modular pipeline that integrates advanced visual recognition algorithms with a robust data processing framework.

Key to this work is the construction of a synthetic dataset using Unity3D, enabling the generation of high-quality annotated data that mirrors real-world retail scenarios. This approach addresses the challenge of insufficient labeled datasets by simulating diverse and cluttered shopping …

Implementation Of Non-Linear Filtering Techniques For Object Tracking, Shaswat Koirala

LSU New Orleans Theses and Dissertations

No abstract provided.

Deep Learning Approach For Accurate Segmentation Of Oil Spills In Marine Systems, Mohamed Elsheref

LSU New Orleans Theses and Dissertations

Oil spills present critical environmental hazards, threatening marine ecosystems and necessitating fast, accurate detection for effective mitigation. Synthetic Aperture Radar (SAR) imagery has been instrumental in detecting oil spills, but manual interpretation is often inefficient and prone to errors. This study addresses the limitations of manual methods by proposing a deep learning approach for automated oil spill detection and segmentation.

Utilizing a novel transfer learning-based semantic segmentation model, this research focuses on detecting oil slicks on the sea surface with higher accuracy and efficiency. The model leverages pre-trained networks and incorporates U-Net variants, including UNet++ and MultiResUNet, to optimize spatial …

Enhancing Password Security And Memorability Using Machine Learning And Linguistic Patterns, Jared Wise

LSU New Orleans Theses and Dissertations

In the digital age, text-based passwords remain a primary method for securing online accounts. Yet, users frequently face a dilemma between creating passwords that are easy to remember and sufficiently secure against cyberattacks. This research introduces an approach to password generation that bridges this gap by utilizing linguistic patterns, particularly song lyrics, to develop highly secure and naturally memorable passwords. Using large lyric datasets gained from web scrapes from popular song lyric websites (AZ Lyrics, Genius), features are extracted from a corpus of over 5 million lyrics using sentence structure and natural language processing in a novel way. In using …

Climate Change , House Prices And Inequality In The United States, Zeynullah Gider

LSU New Orleans Theses and Dissertations

This dissertation investigates the multifaceted relationship between climate change, housing values, and inequality in the United States using county-level data from 2005 to 2022. In Chapter 1, we examine the heterogeneous impact of climate change on house prices, employing fixed-effect panel data analysis, Difference-in-Differences (DiD) with Propensity Score Matching (PSM), and fixed-effect panel quantile regressions. Findings indicate that climate change significantly impacts housing values, but this effect is not uniform. Low-value homes experience substantial price discounts due to heightened climate risk perception, while high-value homes are largely unaffected. This heterogeneity suggests that climate change poses a greater financial threat to …

Fragments Of Fire: Essays On Womanhood, Family, And Environment, Valerie Rose Palacios

LSU New Orleans Theses and Dissertations

Fragments of Fire is a collection of non-fiction, memoir, and opinion essays that navigate themes of gender and societal issues, coming-of-age, generational dynamics, death, and the natural environment. Through an intricate blend of introspection, keen observation, and literary analysis, these essays offer insight into the transformative journey from girlhood to womanhood as experienced by a young Latina. This collection provides a resonant voice that bridges personal narrative with broader cultural and existential questions.

Examining The Impact Of Eds And Meds Anchor Institutions On Local Communities: A Mixed Methods Case Study On University Medical Center New Orleans, Samuel P. Firmin

LSU New Orleans Theses and Dissertations

The purpose of this study was to examine how the University Medical Center New Orleans (UMCNO), a major Eds and Meds anchor institution, has contributed to the well-being outcomes of surrounding communities within the New Orleans BioDistrict since its opening in 2015. Eds and Meds institutions often have mixed impacts on their local communities, and little research has focused on their effects in the Deep South, particularly in New Orleans, a region with pronounced socioeconomic disparities. This study aimed to address this research gap by investigating the following question: to what extent does UMCNO's Community Health Needs Assessments align with …

New Constraints On The Stratigraphic Architecture And Evolution Of Mississippi River Delta Lobe Activity: Barataria Basin, Southeastern La, Wilke Coleman

LSU New Orleans Theses and Dissertations

Barataria Basin is a shallow water, interdistributary estuary that has evolved in response to dynamic depositional regimes governed by distributary avulsion and reworking of sediments by coastal processes. In the Mississippi River delta plain, the migratory nature of the River has produced an evolving landscape constructed through episodes of regressive and transgressive sedimentation. These processes produce unique depositional signatures in the stratigraphic record, however the transgressive component of the delta cycle often results in obliteration of the regressive phase. This study uses a modern suite of geophysical and sediment core data to construct a revised geologic framework in Barataria Basin, …

A Graph Motif Adversarial Attack For Fault Detection In Power Distribution Systems, Dibaloke Chanda, Nasim Yahyasoltani

Computer Science Faculty Research and Publications

Fault detection is an integral part of the protection system in a power distribution network. Due to advanced computational capabilities, deep learning-based algorithms can significantly outperform traditional methods. However, these deep learning models are prone to adversarial attacks which are not well-addressed as traditional cyber attacks in distribution systems. More specifically, to capture the structure of distribution systems, graph neural networks (GNNs) are employed. Leveraging the backdoor attack model, we propose a novel graph-based adversarial attack algorithm for fault detection in power systems. It is further shown that the adaptable structure of GNN can make them vulnerable to adversarial attacks …

Equitable Community-Based Participatory Research Engagement With Communities Of Color Drives All Of Us Wisconsin Genomic Research Priorities, Sheikh Iqbal Ahamed, Praveen Madiraju

Computer Science Faculty Research and Publications

Objective

The NIH All of Us Research Program aims to advance personalized medicine by not only linking patient records, surveys, and genomic data but also engaging with participants, particularly from groups traditionally underrepresented in biomedical research (UBR). This study details how the dialogue between scientists and community members, including many from communities of color, shaped local research priorities.

Materials and Methods

We recruited area quantitative, basic, and clinical scientists as well as community members from our Community and Participant Advisory Boards with a predetermined interest in All of Us research as members of a Special Interest Group (SIG). An expert …

Impact Of Climate Change On Maternal Health In Pakistan: A Review Paper, Ihsan Ullah, Kiran Mubeen, Dilshad Begum, Rafat Jan

Journal of Asian Midwives (JAM)

Pakistan is one of the country’s most susceptible to the effects of climate change. Recent floods, heavy snowfall and rain have significantly impacted maternal and infant health. Indigenous women of child-bearing age especially those in rural areas are among the most vulnerable, facing food insecurity, disruptive food systems, rising food prices, and disrupted food production due to climate change. This review highlights a critical gap in research on indigenous women's maternal nutrition in the context of climate change, particularly in low- and middle-income countries. It emphasized the necessity for culturally responsive approaches and a deeper understanding of how climate change …

Phantom Jam Sybil Attack In Connected Vehicular Networks, Ahmed Ali Elamin Mohamed

Masters Theses and Doctoral Dissertations

Vehicular Ad-hoc Networks (VANETs) are vulnerable to Sybil attacks, mostly due to the lack of encryption in BSMs. In VANETs, multiple digital certificates (pseudonyms) are assigned to each vehicle to ensure their privacy. However, malicious nodes can exploit these pseudonyms to create ghost vehicles, inducing fake traffic jams and disturbance to other vehicles which may lead to accidents. In this work, we have developed the first sophisticated sybil attack, in which an attacker uses legitimate pseudonyms to create multiple ghost vehicles. These ghost vehicles transmit realistic kinematic data, using trajectory formulas and road maps. Additionally, the ghost vehicles randomly simulate …

"I Can Give You Something For That": Exploring The Medical Paradigm In Mental Health Through Contemporary American Literature, Brooke Pierson

Masters Theses and Doctoral Dissertations

In this paper, I analyze two contemporary fiction novels, My Year of Rest and Relaxation by Ottessa Moshfegh and My Dark Vanessa by Kate Elizabeth Russell, through the lens of the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Moshfegh satirically critiques diagnostic psychiatry as easily exploitable, and suggests that instead of seeking asylum from pain, we should remind ourselves that happiness and pain exist in harmony; that pain is a part of life. Russell suggests the DSM-5 is imperative to understanding traumatic experiences and the mental disorders which arise from them, such as PTSD. Russell …

Exploring Post-Covid-19 Health Effects And Features With Advanced Machine Learning Techniques, Muhammad N. Islam, Md S. Islam, Nahid H. Shourav, Iftiaqur Rahman, Faiz A. Faisal, Md M. Islam, Iqbal H. Sarker

Research outputs 2022 to 2026

COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a range of outcomes including recovery, continued health issues, and the loss of life. Among those who have recovered, many experience negative health effects, particularly influenced by demographic factors such as gender and age, as well as physiological and neurological factors like sleep patterns, emotional states, anxiety, and memory. This research aims to explore various health factors affecting different demographic profiles and establish significant correlations among physiological and neurological factors in the post-COVID-19 state. To achieve these objectives, we have identified the post-COVID-19 health factors and …

Exploring Drivers Of Women’S Well-Being In Hospitals: Mapping The Landscape, Mitra Faghihi, Aliasghar Farshad, Nasim Salehi, Dean Whitehead, Masoud Motalebi Ghayen, Bahar Izadi, Morteza Mansourian

Research outputs 2022 to 2026

Background and purpose: The workplace plays a key role in impacting the health and well-being of employees at various levels, including physical, psychological, and social aspects of health. This study aims to identify the drivers of a healthy environment that promotes the well-being of women employed in hospitals. Materials & methods: This qualitative study used purposive sampling to recruit a total of 48 working women across a diverse range of participants with different job categories and socio-demographic statuses. These include clinical health (e.g., nurse, head nurse, practical nurse, supervisor, physicians); allied health (e.g., diagnostic services); public health (e.g., health promotion …