Digital Commons Network^™

Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown

Faculty Publications

Tropical cyclones (TCs), often characterized by high wind speeds and heavy rainfall, cause widespread devastation, affecting millions of people and leading to economic losses worldwide. TC-specific research in Georgia is scarce, likely due to the minimal geographical extent of its coast and the infrequency of direct landfalls. Research on Georgia TCs does not account for storms that make landfall in other southeastern states (e.g., Florida) and continue north, northeast, or northwest into Georgia. This study used the North Atlantic Basin hurricane database (HURDAT2) to quantify the spatiotemporal patterns of direct and indirect landfalling of Georgia tropical cyclones (>16 ms−1) …

Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang

Faculty Publications

Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …

Machine Learning For Automated Classification Of Lung Collagen In A Urethane-Induced Lung Injury Mouse Model, Khalid Hamad Alnafisah, Amit Ranjan, Sushant P. Sahu, Jianhua Chen, Sarah Mohammad Alhejji, Alexandra Noël, Manas Ranjan Gartia, Supratik Mukhopadhyay

Faculty Publications

Dysregulation of lung tissue collagen level plays a vital role in understanding how lung diseases progress. However, traditional scoring methods rely on manual histopathological examination introducing subjectivity and inconsistency into the assessment process. These methods are further hampered by inter-observer variability, lack of quantification, and their time-consuming nature. To mitigate these drawbacks, we propose a machine learning-driven framework for automated scoring of lung collagen content. Our study begins with the collection of a lung slide image dataset from adult female mice using second harmonic generation (SHG) microscopy. In our proposed approach, first, we manually extracted features based on the 46 …

Prevailing Issues And Actions In Urban Best Practices Across Latin America And The Caribbean, Fabio Capra-Ribeiro

Faculty Publications

This research examines urban best practices (BPs) across Latin America and the Caribbean to illuminate the prevalent issues and actions associated with these locally implemented initiatives. An analysis of 45 BPs from the UN-Habitat repository was conducted using both quantitative and qualitative methods, organized into three phases. The first phase focused on collecting data such as BP sources, countries of origin, and years of implementation. The second phase identified common problems and actions within the BPs. The third phase involved a cross-sectional analysis to identify significant patterns and trends. The study found that many BPs originated from the Dubai International …

The Past And Future Of The Fisheries And Marine Ecosystem Model Intercomparison Project, Camilla Novaglio, Andrea Bryndum-Buchholz, Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Cheryl S. Harrison, Ryan F. Heneghan, Olivier Maury, Kelly Ortega-Cisneros, Colleen M. Petrik, Kelsey E. Roberts, Julia L. Blanchard

Faculty Publications

Climate change is increasingly affecting the world's ocean ecosystems, necessitating urgent guidance on adaptation strategies to limit or prevent catastrophic impacts. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) is a network and framework that provides standardised ensemble projections of the impacts of climate change and fisheries on ocean life and the benefits that it provides to people. Since its official launch in 2013 as a small, self-organized project within the larger Inter-Sectoral Impact Model Intercomparison Project, the FishMIP community has grown substantially and contributed to key international policy processes, such as the Intergovernmental Panel on Climate Change Assessment …

Insurance Coverage And Flood Exposure In The Gulf Of Mexico Region: Risk, Social Vulnerability, Urban Form, And Scale, Anissa J. Hyde

LSU Master's Theses

Increasing flood losses in the Gulf of Mexico pose serious threats to resilience and insurability. The purpose of this study is to understand how scale, social vulnerability, risk and urban form relate to NFIP insurance coverage and flood exposure. Our multilevel models identify that flooding is significantly clustered by region and counties, especially shoreline counties. Our measures of risk suggest that the FEMA Special Flood Hazard Areas underestimates risk and exposure when compared with Flood Factor, and that there is some compensation in terms of insurance coverage, suggesting a pattern of adverse selection. Older housing stock appears both less insured …

Asmrtistry In Immersive Sound: Investigating The Effectiveness Of Immersive Sound Technologies In Eliciting Autonomous Sensory Meridian Response, Scott D. Nelson

LSU Doctoral Dissertations

Despite a wide array of immersive sound technologies available to digital media creators who specialize in making audio-visual content that aims to elicit Autonomous Sensory Meridian Response (ASMR), only a few sound reproduction modalities are widely used: mono/stereo and binaural recording. To date, nearly all research studying ASMR, a bio-sensory phenomenon wherein people feel brain tingles triggered by calming audio-visual cues, has been content to carry out ASMR studies entirely with stereo and binaural sound reproduction methods. Therefore, it stands to reason that more understanding about how diverse immersive sound modalities like wave field synthesis, or three-dimensional spatial audio for …

Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso

Faculty Publications

The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …

Spatiotemporal Analysis Of Nighttime Crimes In Vienna, Austria, Jiyoung Lee, Michael Leitner, Gernot Paulus

Faculty Publications

Studying the spatiotemporal dynamics of crime is crucial for accurate crime geography research. While studies have examined crime patterns related to weekdays, seasons, and specific events, there is a noticeable gap in research on nighttime crimes. This study focuses on crimes occurring during the nighttime, investigating the temporal definition of nighttime crime and the correlation between nighttime lights and criminal activities. The study concentrates on four types of nighttime crimes, assault, theft, burglary, and robbery, conducting univariate and multivariate analyses. In the univariate analysis, correlations between nighttime crimes and nighttime light (NTL) values detected in satellite images and between streetlight …

Consumer Engagement In Fashion Circularity In China: Exploring Consumer Online Fashion Resale Through The Lens Of Social Practice Theory, Sujun Liu, Chuanlan Liu, Chunmin Lang

Faculty Publications

Fashion resale has emerged as a notable strategy for the fashion industry to reduce its environmental footprint by promoting fashion circularity. Despite extensive research on consumer awareness of resale and the purchase of pre-owned items, there remains a gap in understanding the factors that influence consumers’ participation in resale markets, encompassing both selling and buying practices. Drawing on social practice theory (SPT), this qualitative study examines the nuanced factors influencing consumers’ online resale practices and investigates how online fashion resale practices (OFRPs) have become integrated into their daily consumption patterns. In-depth interviews were conducted with thirty experienced Chinese consumers engaged …

Elevating The Rre Framework For Geospatial Analysis With Visual Programming Platforms: An Exploration With Geospatial Analytics Extension For Knime, Lingbo Liu, Fahui Wang, Xiaokang Fu, Tobias Kötter, Kevin Sturm, Weihe Wendy Guan, Shuming Bao

Faculty Publications

Reproducibility, replicability, and expandability (RRE) have emerged as fundamental concerns in the realm of scientific research and development. Wherein, devising effective solutions for RRE within geospatial analysis stands out as a particularly critical challenge that demands immediate attention. Although there has been an evolution from basic reproducibility of code and data to a more comprehensive cyberinfrastructure, this integrated solution is still grappling with issues of limited user accessibility, steep learning curves particularly in coding skills, and difficulties in achieving collaboration with other data science platforms This study proposes a framework that combines open-source GIS with visual programming platforms, grounded in …

Stacked Noise Reduction Auto Encoder–Ocean: A Novel Personalized Recommendation Model Enhanced, Bixi Wang, Wenfeng Zheng, Ruiyang Wang, Siyu Lu, Lirong Yin, Lei Wang, Zhengtong Yin, Xinbing Chen

Faculty Publications

With the continuous development of information technology and the rapid increase in new users of social networking sites, recommendation technology is becoming more and more important. After research, it was found that the behavior of users on social networking sites has a great correlation with their personalities. The five characteristics of the OCEAN personality model can cover all aspects of a user’s personality. In this research, a micro-directional propagation model based on the OCEAN personality model and a Stacked Denoising Auto Encoder (SDAE) was built through the application of deep learning to a collaborative filtering technique. Firstly, the dimension of …

Farmer's Adaptive Capacity And Adoption Of Strategies To Climate Change Among Mountain Communities In Nepal, Tanvir Hossain

LSU Master's Theses

Climate change presents significant challenges to agriculture worldwide, particularly where farming is central to livelihoods. This phenomenon has been linked to decreasing crop yields due to rising temperatures and reduced rainfall, particularly affecting low-income countries with limited adaptive capabilities. Grasping how farmers perceive climate change is essential for developing effective adaptation strategies to lessen its adverse impacts. This study concentrated on investigating the perceptions and adaptive strategies employed by smallholder farmers in Nepal's Mustang district, utilizing primary data sources. Data from 131 randomly selected households were gathered through structured interviews, while focus group discussions provided qualitative insights into farmers' views …

Veneers And Vignettes: Staging The Mountain West, Matthew Jones

LSU Master's Theses

Veneer (noun): An attractive appearance that covers or disguises someone or something's true nature or feelings.

Vignette (noun): A small illustration or portrait photograph which fades into its background without a definite border.

This exhibition, Veneers and Vignettes: Staging the Mountain West embodies my pursuits to contextualize my place in the Mountain West, my home. These works seek to understand how the extents of time, circumstance, and people have shaped the contemporary cultures, environment, and implied trajectory of the decades ahead. What legacies have we imprinted upon this place and with what repercussions? I feel uneasy for my home in …

Sexual Abuse: A Multi-Faceted Problem, Marcus Venable

LSU Doctoral Dissertations

On average, US citizens have experienced approximately 400,000 sexual assaults per year, which results in enormous immediate and long-term consequences for individuals, as well as society in general.

In the U.S., the principal method of combatting this crime has been the creation of Sex Offender Registries used to notify the public of the identity and location of convicted sex offenders who may be living in proximity to their residence. In addition to the Registry, laws have been passed forbidding convicted sex offenders from residing within buffer zones around areas of high child concentration [schools/parks/etc.].

The efficacy and consequences of these …

Extreme Climate Events And Agricultural Commodity Markets, Mohammad Abir Chowdhury Shovon

LSU Master's Theses

This article investigates the impact of extreme climate events on U.S. agricultural commodity markets, specifically focusing on corn and soybeans. Using event study methods and a comprehensive dataset of 254 extreme climate events for corn as well as 250 extreme climate events for soybeans in top ten corn & soybeans producing states of the USA between 1995 and 2023, we examine how storms, floods, extreme temperatures, and droughts affect the abnormal returns of these commodities. Our findings indicate that 22.04% of climate events significantly impact corn returns and 21.20% of climate events have significant impact on soybeans returns. Notably, extreme …

Spatial Justice: Deductions, Demonstrations, And Derivations, Fabio Capra-Ribeiro

Faculty Publications

No abstract provided.

Aerial, Surface, And Subsurface Multimodal Mapping In Coastal Peru: Insights From Cerro San Isidro, Moro Region, Nepeña Valley, Kayla Golay Lausanne, David Chicoine, Jeisen Navarro Vega, George F. Lau

Faculty Publications

This article describes a series of steps to integrate multiple modes of archaeological mapping in arid and agricultural settings. We use the coastal region of Peru as a case study and share our recent field experience at Cerro San Isidro, a multicomponent hill site located in the agriculture-intensive and mid-elevation (about 500 m asl) Moro region of the Nepeña Valley. In June and July 2022, we spent eight weeks deploying a combination of drone aerial imagery, pedestrian GPS reconnaissance, and GPR survey to map the surface and subsurface features at the site and in the adjacent agricultural fields. Our efforts …

Human-Environment Interactions In Coastal Belize: Insights Into Sea-Level Rise And Ancient Maya Activities At The Paynes Creek Salt Works, Cheryl Mae Foster

LSU Doctoral Dissertations

Dissertation excavations were carried out in 2019 and 2022 at the underwater sites of Ta’ab Nuk Na and Ek Way Nal in Paynes Creek National Park, Belize. Sea-level rise submerged the sites in antiquity and preserved the artifact record in red mangrove (Rhizophora mangle) peat. Red mangrove peat can be used as a proxy for sea-level rise. The goals of the two excavations included: 1) excavating a 14m-long transect within and extending beyond building J at Ta’ab Nuk Na to determine the function of the building, 2) investigating the production of salt making pottery at Ta’ab Nuk Na; …

Community-Level Post-Hazard Functionality Methodology For Buildings Exposed To Floods, Omar Nofal, Nathanael Rosenheim, Sabarethinam Kameshwar, Jayant Patil, Xiangnan Zhou, John W. Van De Lindt, Leonardo Duenas-Osorio, Eun Jeong Cha, Amin Endrami, Elaina Sutley, Harvey Cutler, Tao Lu, Chen Wang, Hwayoung Jeon

Faculty Publications

This paper presents a building-level post-hazard functionality model for communities exposed to flood hazards including the interdependencies between the population, buildings, and infrastructure. An existing portfolio of building archetypes is used to model the post-hazard physical flood functionality of different building typologies within the community with the goal of supporting resilience-informed decision-making. Specific fragility-based flood functionality curves were developed for this portfolio to quantify the exceedance probability of a prescribed set of functionality states. While the physical functionality of buildings is significant to the total functionality of a building and community resilience assessment, the functionality of utilities such as power …

“Everything Is Not What It Seems”: Discovering Public Relations In Business Sectors In Vietnam, Ba-Anh-Tu Truong

LSU Master's Theses

Vietnam is a shining star in emerging markets, with an annual economic growth rate of 6-7%. Its abundant labor supply, stable political climate, and geographic proximity to major global supply chains make it an ideal candidate for manufacturer planning in advanced economies such as the United States, Europe, Australia, Japan, China, and Korea. Investing in public relations and communication management, especially understanding the Vietnamese market, effectively prepares multinational corporations for future business expansion. This mission is difficult for academia and industrial professionals since Vietnam is a “silent country” in public relations research. To fill the gap, this thesis employs the …

The Effects Of Global Temperature Change On Radon Exposure In Permafrost Areas, Melaan Bender

LSU Master's Theses

Global temperature increase leads to thawing of permafrost that protects local populations from radiation exposure by blocking radon-222 migrating into dwellings. This study aims at assessing the effects of permafrost thawing on the concentrations of radon in indoor air. An approach is developed to predict the evolution of the ²²²Rn concentrations by various processes including radon exhalation from thawed soil. It is found that as frozen soil thaws, more radon can enter dwellings, increasing the concentration of ²²²Rn in indoor air and elevating radiation-induced health risks. This study provides useful insight that will enhance understanding of potential climate …

Spatial Behavior Of Hospital Visits By Hand, Foot, And Mouth Disease Patients In Nanchang, China, Zeliu Zheng

LSU Doctoral Dissertations

Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Understanding the travel patterns of the HFMD patients helps us understand how the spatial behaviors of patients vary across space and what are the underlying forces. It is essential for understanding the healthcare market and planning for resource allocation. Foremost, health behavior and outcome change significantly across geographic regions of various urbanicities (i.e., degrees of urbanization) due to the uneven distribution of healthcare resource. In addition, health studies in the U.S. often use hospital service areas (HSAs) …

Addition And Subtraction: Coral Reproduction And Disease In A Changing Ocean, Ashley Rossin

LSU Doctoral Dissertations

Marine diseases are changing the landscapes of coral reefs particularly throughout the Western Atlantic. Stony coral tissue loss disease (SCTLD) swept through this region impacting at least 22 stony coral species. White plague (WP) is a more ephemeral disease, but still has a significant impact on coral reef health and perseverance, especially under a changing ocean. While these impacts are seen on the reef-scale, we can zoom into the tissue-level to identify disease markers for both diseases and identify their differences. This has ramifications for disease intervention, as well as mitigation strategies. Despite continuous disease outbreaks, healthy corals persist and …

Geospatial Analysis Of Historical Tropical Cyclone Intensity And Rainfall In Georgia, United States, Reilly T. Corkran

LSU Master's Theses

Tropical cyclones, characterized by their high wind speeds and heavy rainfall, cause widespread devastation, affecting millions of people and leading to economic losses worldwide. Tropical cyclone-specific research in Georgia is scarce, likely due to the coast’s minimal geographical extent and the relative infrequency of direct landfalls. Research on Georgia tropical cyclones does not account for storms that make landfall in Florida and continue north, northeast, or northwest. In 2018, Hurricane Michael generated $4.7 billion in property, agriculture, and forestry damages across southwest Georgia as a Category 3 hurricane. With an increasing population, property development, and agriculture sector sensitive to tropical …

Maria Rosa Ribas Monné: A Case Study, Rebeca Lemos Gonzalez

LSU Doctoral Dissertations

This dissertation explores the musical legacy of Catalan composer Maria Rosa Ribas Monné, emphasizing the influence of the Catalan context on her compositions and recognizing the contributions of Spanish women in music, particularly in cello music. Through an in-depth exploration of Maria Rosa's life, musical perspective, and analysis of her works "Faust", "Disperato,"and "Record d'una música," this study unveils pivotal insights into her artistic journey. Additionally, it includes a comprehensive catalogue of her compositions, providing a detailed overview of her musical output.

The dissertation begins by examining how M. Rosa Ribas' deep connection to Catalan culture, influenced by poet Màrius …

Spring 2024 Catalog, Lsu Press

LSU Press Seasonal Catalogs

No abstract provided.

Field Evaluation Of Experimental Maize Hybrids For Resistance To The Fall Armyworm (Lepidoptera: Noctuidae) In A Warm Temperate Climate, Xinzhi Ni, Alisa Huffaker, Eric A. Schmelz, Wenwei Xu, W. Paul Williams, Baozhu Guo, Xianchun Li, Fangneng Huang

Faculty Publications

The polyphagous fall armyworm (FAW), Spodoptera frugiperda, has become an invasive pest worldwide in recent years. To develop maize germplasm with multiple pest resistance and understand genetic inheritance, 12 experimental hybrids (six pairs of reciprocal crosses) with diverse genetic backgrounds and four commercial checks were examined for FAW resistance in 2013 and 2014. The experiment utilized a randomized complete block design with four replications as the block factor. FAW injury on maize plants was assessed at 7 and 14 d after the artificial infestation at the V6 stage, and predatory arthropod taxa and abundance on maize seedlings were recorded 7 …

Predicting Antibiotic Resistance In Recreational Areas, Daniela Azevedo

Honors Capstones

No abstract provided.

A Review Of American And European Central Banks And How They Shape And Strengthen The Financial System Of The Western World, Charlotte Chehardy

Honors Capstones

No abstract provided.