Physical Sciences and Mathematics Commons^™

Prediction Of Pfoa And Pfos Toxicity Through Log P And Number Of Carbon With Comptox And Machine Learning Tools, Ahmed Dashtey, Patrick Mormile, Sandra Pedre, Stephany Maure Valdaliso, Walter Z. Tang

Department of Civil and Environmental Engineering Faculty Publications

Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) are two major groups of PFAS will be subjected to the Maximal Contamination Concentration (MCL) of 4 ng/l in drinking water to be implemented by the U.S. EPA by 2025. How to accurately predict toxicity of PFAS with varied carbon chain length is important for treatment and sequential removal from drinking water. This study presents Quantitative Structure and Activity Relationship (QSAR) models developed through both linear regression and two order regression. Log P is compiled from reference and carbon content is counted as the molecule represented. Bioconcentration potential is predicted from CompTox.The …

Constructible Sandwich Cut, Philip A. Son

FIU Undergraduate Research Journal

In mathematical measure theory, the “Ham-Sandwich” theorem states that any n objects in an n-dimensional Euclidean space can be simultaneously divided in half with a single cut by an (n-1)-dimensional hyperplane. While it guarantees its existence, the theorem does not provide a way of finding this halving hyperplane, as it is only an existence result. In this paper, we look at the problem in dimension 2, more in the style of Euclid and the antique Greeks, that is from a constructible point of view, with straight edge and compass. For two arbitrary regions in the plane, there is certainly no …

An Examination Of The Ways In Which Transdisciplinary Research Could Be Used To Incentivize Local Communities To Combat The Illegal Wildlife Trade, Jessica Rios

FIU Undergraduate Research Journal

The illegal wildlife trade (IWT) is currently one of the most critical conservation concerns, given its direct impact on biodiversity loss, endangering local ecosystems, and adding pressure to all species at a point when they face dangers like deforestation and mass extinctions. This industry also significantly impacts local communities, many of which are compelled to engage in it as a result of their precarious socioeconomic conditions. While effective countermeasures to this global issue have been identified, successful implementation of these countermeasures require diverse disciplines and collaborators. This paper argues that a transdisciplinary approach that converges knowledge and skills from social …

The State Of Knowledge Of Cca Diversity In The Caribbean Coral Reefs, Danielle Macias, Alain Duran, Fabio Nauer

FIU Undergraduate Research Journal

Crustose coralline algae (CCA) are a diverse and ecologically important species found in most of the world’s oceans. The current lack of taxonomic knowledge and relative abundance compromises our ability to predict species diversity numbers and, thus, their ecological roles and impacts on coral reefs. To gather a better understanding of the state of knowledge of crustose coralline algae taxonomy in the Caribbean, 107 different research papers, and other primary and secondary literature were studied; any source with taxonomical information, species identification, or genetic markers for identification was recorded. All Genebank codes were collected and sorted by supposed species marker …

Understanding The Health Impacts Of Vehicular Emissions In South Florida: A Comprehensive Analysis, Janelle Ducheine, Noah Horesh, Jason C. Quinn

FIU Undergraduate Research Journal

South Florida is famous for its diverse cultural scene and year-round sunshine. This success, however, has not been without its consequences. While the region enjoys economic prosperity, the hidden cost of deteriorating air quality and adverse health effects from vehicle emissions necessitates urgent attention. Electric vehicles (EVs) have emerged as a potential solution, promising reduced emissions, and increased energy efficiency. However, the intricate life cycle emissions associated with EV energy production raise questions about their net benefits. Using predictive modeling and historical data, the study forecasts emissions trajectories and assesses their health implications. Results indicate a substantial reduction in pollutants …

Using Geochemical Tracers To Determine Seasonal Inputs Of Freshwater To A Coastal Estuary: Biscayne Bay, Fl, Melaney Lara, Rene M. Price

FIU Undergraduate Research Journal

Biscayne Bay is a coastal estuary that historically relied on rainfall and groundwater inputs from the karst Biscayne aquifer. The construction of major canals along the coastline has released point-source freshwater inputs into the bay, detrimentally affecting the Bay’s ecosystem balance. This project investigates the proportional inputs of freshwater between the wet and dry seasons in Deering Estate, adjacent to Biscayne Bay. The objective of this project was accomplished by analyzing the water chemistry of the bay using naturally occurring geochemical tracers. Water sampling occurred from May to August (wet season 2022) and January to March (dry season 2023); at …

Implications Of Microplastic Pollution For The Conservation Of Marine Protected Areas, Estefany D. Carvajal, Amanda Di Perna, Alain Duran

FIU Undergraduate Research Journal

Marine Protected Areas (MPAs) function as a tool for the protection and conservation of marine ecosystems. These designated areas should be free of any environmentally harmful pollutants. Microplastics (MPs) are plastic fragments measuring less than 5 mm (about 0.2 in). These fragments are an emerging threat to our oceans, and we are investigating the effectiveness of MPAs against these pollutants. We analyzed data gathered from research conducted on microplastic concentrations in MPAs and non-MPAs around the world. 53 MPAs and 53 non-MPAs around the world were used and the microplastic concentrations were deemed low, medium, or high by using the …

Can Ai Become An Information Literacy Ally? A Survey Of Library Instructor Perspectives On Chatgpt, Melissa S. Del Castillo, Hope Y. Kelly

Works of the FIU Libraries

Libraries can play a role in navigating the AI era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it for instruction. This study explored perceptions of ChatGPT using survey data that included acceptance factors and potential uses derived from the emerging literature. While some librarians saw potential, others found it too unreliable to be useful; yet the vast majority imagined utilizing the tool in the future.

Chatgpt Is A Liar And Other Lessons Learned From Information Literacy Instructors, Melissa S. Del Castillo, Hope Y. Kelly

Works of the FIU Libraries

Wondering where generative artificial intelligence (AI) fits in information literacy instruction? This session will share findings from a recent survey of library professionals on how they are already teaching about and using AI powered ChatGPT in information literacy instruction and where they see potential opportunities and areas of concern. Survey analysis will include information about attitudes, current and anticipated use, and descriptions of teaching methods that leverage the technology. As we navigate the survey results, attendees will have the opportunity to share their own perspectives on the same questions via live polling. We will then turn to attendees to share …

Beyond The Tide: A Comprehensive Guide To Sea-Level-Rise Inundation Mapping Using Foss4g, Levente Juhasz, Jinwen Xu, Randall W. Parkinson

GIS Center

No abstract provided.

Towards Understanding The Geospatial Skills Of Chatgpt: Taking A Geographic Information Systems (Gis) Exam, Peter Mooney, Wencong Cui, Boyuan Guan, Levente Juhasz

GIS Center

This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their capabilities and limitations in specialized subject areas such as GIS. Human learning of spatial concepts significantly differs from LLM training methodologies. Therefore, this study aims to assess ChatGPT's performance and ability to grasp geospatial concepts by challenging it with a real GIS exam. By analyzing ChatGPT's responses and evaluating its understanding of GIS principles, we gain insights into the potential applications and challenges …

Seasonal Differences In Diet Specialization, Frugivory, And Seed Dispersal In A Subtropical Population Of Gopher Tortoise, Adrian Figueroa

FIU Electronic Theses and Dissertations

This dissertation is the culmination of a 1.5-year research project into the unique ecology of gopher tortoises (Gopherus polyphemus) at the southeasternmost extent of the species’ range. This study population occupies the globally imperiled pine rockland ecosystem of Miami-Dade County, Florida, USA, of which >98% no longer exists outside Everglades National Park. My research unveiled a seasonal shift in the diet of the gopher tortoise population where individuals became more specialized in the wet season (June to November) than in the dry season (December to May). This temporal difference in diet specialization coincided with a shift toward frugivory. …

Ethical Data Considerations For Engaging In Reparative Archival Practice, Jamie Rogers, Rhia Rae

Works of the FIU Libraries

Archival textually-rich materials--such as warranty deeds, mortgages, legal documents, and letter correspondence--can provide valuable historical insights, and if transcribed and analyzed, can produce data points in the form of unstructured text, tabular data, and geospatial assets. This presentation will provide an overview of the process Florida International University librarians went through to turn the papers of Dana A. Dorsey, Miami's first Black Millionaire, into data. Their work is guided by the concept of "collections as data" as a form of reparative archival practice, enabling the elevation of marginalized individuals' histories. The goal of reparative archival practice is to create a …

Data Ethics And Privacy For Researchers, Kelley F. Rowan

Works of the FIU Libraries

This workshop addresses specific data privacy and anonymization standards and techniques for researchers that are collecting personally identifiable information as well as sensitive information. The workshop covers federal, state, and international laws and regulations governing data privacy, the development of an impact assessment and privacy policy. The second half of the workshop focuses on ethical workflows, anonymization techniques and related resources.

Rede Neural Para A Predição De Óbito Utilizando Biomarcadores De Pacientes Em Hemodiálise No Sistema Único De Saúde., Isadora Badalotti-Teloken

AMNET Conferencia Internacional

No abstract provided.

Produção De Artigos Científicos No Estudo Longitudinal De Saúde Do Adulto (Elsa-Brasil), 2011-2023, Arthur Sandi Bauermann, Maria Antônia Mylius De Oliveira, Clara Akemi Basso Aseka, Luiza Dalmolin Beneduzi

AMNET Conferencia Internacional

No abstract provided.

Enabling Third Layer Bitcoin Applications Using Lightning Network, Ahmet Kurt

FIU Electronic Theses and Dissertations

When Bitcoin was introduced in 2009, it created a big sensation in the world as it was first of its kind. Since then, a lot of different cryptocurrencies were proposed. Today, cryptocurrencies can be used to pay for goods and services similar to using cash or credit cards. However, none of them could replace or supersede Bitcoin in usage or market capitalization. Current market conditions still imply that it will stay the same way. However, Bitcoin suffers from very low transaction per second (TPS) which limits its usability on large scale. There have been numerous proposals to increase its scalability …

High Performance Computing Algorithms For Accelerating Peptide Identification From Mass-Spectrometry Data Using Heterogeneous Supercomputers, Muhammad Haseeb, Fahad Saeed, Ed.

School of Computing and Information Sciences

Fast and accurate identification of peptides and proteins from the mass spectrometry (MS) data is a critical problem in modern systems biology. Database peptide search is the most commonly used computational method to identify peptide sequences from the MS data. In this method, giga-bytes of experimentally generated MS data are compared against tera-byte sized databases of theoretically simulated MS data resulting in a compute- and data-intensive problem requiring days or weeks of computational times on desktop machines. Existing serial and high performance computing (HPC) algorithms strive to accelerate and improve the computational efficiency of the search, but exhibit sub-optimal performances …

Statistical And Machine Learning Analysis Of The Human Brain Functional Network In A Multi-Site Resting-State Functional Mri Database Framework, Oswaldo Artiles, Fahad Saeed, Ed.

School of Computing and Information Sciences

The human brain has a complex network structure that is non-random and multiscale. It consists of subsystems coupled by a nonlinear dynamic, enabling it to produce complex responses to various external inputs and self-organize. To understand the physical structure and specific brain functions, it is essential to comprehend the connectivity of the hundreds of billions of neurons in the human brain. Functional connectivity (FC) in modern neuroscience is the statistical temporal dependencies between neuronal activation events occurring in spatially separated brain regions. Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive imaging technique widely used in neuroscience to understand the …

Post-Wildfire Flood Inundation Modelling In Southern California: Implications For Dominant Processes And Parameter Identification, Francisca Olmos De Aguilera

FIU Electronic Theses and Dissertations

Wildfires produce large runoff volumes, sometimes in the form of debris flows (water-laden slurries of soil and rock that move rapidly through channels in steep landscapes) in response to moderate to severe precipitation events. For instance, in Santa Barbara and Ventura Counties following the 2017 Thomas Fire, on January 9th, 2018, an intense atmospheric river flood resulted in a series of destructive water and debris flows causing major damage to life and property. Inundation models that accurately parameterize and simulate hydrologic processes are in demand for post-wildfire flood susceptible regions like Southern California. This study utilizes the physics-based Gridded Surface …

Serverless Enabled Framework For Machine Learning Applications: Architecture, Solutions, And Evaluations, Boyuan Guan

FIU Electronic Theses and Dissertations

Over the past decade, the popularity of machine learning applications such as recommendation systems, image recognition, real-time alerts, event detection, natural language processing, and online streaming analytics has increased dramatically. However, there is a long-tail problem has been identified for the ML application. The majority of ML applications are concentrated in high-tech and high-profit areas while ML applications are still difficult to reach for local and low-profit businesses. The two factors that cause this slow growth are the domain problem barrier and the rigid infrastructure environment. Since ML application development is different than the traditional software application which consists of …

Ecological Modeling In The Oceanic Zone: A Gulf Of Mexico Case Study, Matthew Woodstock

FIU Electronic Theses and Dissertations

Ecological modeling is a popular tool to assess the functionality of marine ecosystems and quantify an ecosystem’s response to anthropogenic stressors (e.g., fishing, oil spills, climate change). However, much of the global modeling effort has been focused on coastal regions that are generally more data-rich than the area seaward of the continental shelf (i.e., oceanic zone). A concerted effort has been placed on collecting holistic, ecosystem-scale data in the oceanic, northeast Gulf of Mexico since the 2010 Deepwater Horizon oil spill (DWHOS), particularly in the deep-pelagic zone (water column deeper than 200m depth), which has notably experienced declines in several …

“I Think I Discovered A Military Base In The Middle Of The Ocean”—Null Island, The Most Real Of Fictional Places, Levente Juhasz, Peter Mooney

GIS Center

This paper explores Null Island, a fictional place located at 0° latitude and 0° longitude in the WGS84 (World Geodetic System 1984) geographic coordinate system. Null Island is erroneously associated with large amounts of geographic data in a wide variety of location-based services, place databases, social media and web-based maps. Whereas it was originally considered a joke within the geospatial community, this article will demonstrate implications of its existence, both technological and social in nature, promoting Null Island as a fundamental issue of geographic information that requires more widespread awareness. The article summarizes error sources that lead to data being …

An Assessment Of Climate Mobility Pressures In Response To Dynamic Sea-Level Rise, Nadia A. Seeteram

FIU Electronic Theses and Dissertations

Sea-level rise (SLR) and related flooding impacts will contribute to migration across coastal communities around the world. Differential exposure to impacts, societal vulnerability, and adaptive capacity will invariably lead to varying climate-related mobility outcomes for residents of these communities. Residents of Miami-Dade County (MDC), FL, USA are at substantial risk to the direct and indirect impacts of SLR and related flooding. As the 2nd most economically unequal metropolitan area in the U.S. according to the Gini coefficient (0.508), without strategic intervention, marginalized and vulnerable communities across MDC will disproportionately face unequal mobility pressures. This dissertation seeks to understand the potential …

Molecular Level Characterization Of Dissolved Organic Matter Integrating Trapped Ion Mobility Spectrometry And Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Dennys Leyva Bombuse

FIU Electronic Theses and Dissertations

Dissolved organic matter (DOM) is an extremely complex mixture of organic molecules ubiquitous in aquatic systems and a critical component of the global carbon cycle. Little is known about DOM structural composition at the molecular level. The work presented in this dissertation summarizes the development of a novel analytical toolbox based on trapped ion mobility spectrometry and Fourier transform ion cyclotron resonance mass spectrometry (TIMS-FT-ICR MS) that has significantly contributed to expand our knowledge of DOM molecular complexity and diversity. The TIMS-FT-ICR MS/MS analysis provided for the first-time lower and upper estimation of the molecular isomeric diversity. The TIMS-FT-ICR MS/MS …

A Numerical Investigation Of Tornado Production And Intensification In Tropical Cyclones, Marco Paredes

FIU Electronic Theses and Dissertations

The environmental conditions required for tornado formation and development in tropical cyclones (TCs) and the mechanisms underlying the intensification of TC tornadoes remain poorly understood. Previous research has suggested that low and mid-level dry air intrusion in TCs may enhance convective instability and influence the production of tornadoes. However, observations have their limitations in answering some of the key questions regarding the relationship among thermodynamic instability, dry air, and TC tornado genesis, development, and dissipation. In this study, a multiple nested Weather Research and Forecasting (WRF) model in a hindcasting mode is used to simulate Hurricane Ivan (2004) by resolving …

Assessment Of The Toxicity Of Legacy And Next-Generation Perfluoroalkyl Substances (Pfas) In Early-Life Stages Of Freshwater And Marine Fish, Kiflom Gebreab

FIU Electronic Theses and Dissertations

Per- and polyfluoroalkyl substances (PFASs) are a group of synthetic surfactants that have utilized for several decades in a wide range of industrial and manufacturing applications. Owing to their high chemical stability, PFAS are widespread and persistent in the environment, and have been shown to be bioaccumulative in diverse organisms including plants, wildlife, and humans. Exposure to PFASs has been linked to a range of documented toxic and/or adverse effects in relation to human and animal health. The potential environmental health and ecotoxicity of next-generation PFAS remain unclear. In the present study, toxicity, and bioconcentration potential, of several perfluoroether carboxylic …

An Evolutionary Optimization Algorithm For Automated Classical Machine Learning, Leila Zahedi

FIU Electronic Theses and Dissertations

Machine learning is an evolving branch of computational algorithms that allow computers to learn from experiences, make predictions, and solve different problems without being explicitly programmed. However, building a useful machine learning model is a challenging process, requiring human expertise to perform various proper tasks and ensure that the machine learning's primary objective --determining the best and most predictive model-- is achieved. These tasks include pre-processing, feature selection, and model selection. Many machine learning models developed by experts are designed manually and by trial and error. In other words, even experts need the time and resources to create good predictive …

Applications Of Quantitative Information Flow To Property-Revealing Encryption And Differential Privacy, Mireya Anita Jurado

FIU Electronic Theses and Dissertations

Across our digital lives, two powerful forces of data utility and data privacy push and pull against each other. In response, technologies have been designed to help navigate this tension, by revealing, or leaking, information that could be useful to an adversary in exchange for some added utility. For many of these technologies, there is uncertainty about how harmful these leaks are. How much security and privacy are we sacrificing? Under what circumstances are these technologies safe to use?

To bring clarity to these compromises between security and utility, this dissertation applies the information-theoretic framework of quantitative information flow (QIF), …

Allosteric Mechanism On Dream Dimerization And Impact On Its Interactions With Divalent Metal Zn2+, Maria D. Santiago Estevez

FIU Electronic Theses and Dissertations

DREAM belongs to the NCS family, and it is involved in several physiological processes mediated by Ca²⁺ association, which produces changes in its oligomerization state. The mechanism of how Ca²⁺ binds to DREAM remains unknown. A kinetic study of the binding of Ca²⁺ to DREAM suggested that DREAM dimerization is a two-step process, the first step( τ₁= 8±0.1ms) is associated with the binding of Ca²⁺ to the monomer, while the second step (τ₂ = 3.6 ±0.4 s ) corresponds to a conformation relaxation that leads to the dimerization. Furthermore, by analyzing the fast …