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Detection And Quantification Of Total Airborne Fungi And Coccidioides Species In Environmental Samples, Theresa T. Roehr May 2025

Detection And Quantification Of Total Airborne Fungi And Coccidioides Species In Environmental Samples, Theresa T. Roehr

UNLV Theses, Dissertations, Professional Papers, and Capstones

Fungal exposure can cause acute and chronic illnesses or exacerbate existing illnesses. Some fungi are opportunistic pathogens and can lead to serious systemic fungal infections. In 2020, more than 150 million cases of severe fungal infections were reported globally resulting in an estimated 1.7 million deaths. Coccidioidomycosis, or Valley fever, is classified as a serious fungal infection caused by the fungi Coccidioides immitis and C. posadasii. These particular fungi are prevalent in the soil of the Southwestern United States, including Las Vegas, Nevada. In 2024, there were a total of 269 cases of Valley fever reported in Nevada, and …

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Assessment Of The 3-30-300 Standard In New London, Connecticut: Gis Analysis And Systematic Literature Review On Urban Tree Cover, Natalie Michele Reilly May 2025

Assessment Of The 3-30-300 Standard In New London, Connecticut: Gis Analysis And Systematic Literature Review On Urban Tree Cover, Natalie Michele Reilly

Honors Scholar Theses

Cecil Konijnendijk’s 3-30-300 standard allows cities to monitor their current urban forestry conditions and progress toward improvement. The standard is met if individuals can see three trees from their home, have 30% canopy cover in their neighborhood, and are within 300 meters of a green space. I conducted a systematic review of relevant literature and an assessment of whether New London, Connecticut meets the standard. My goal was to evaluate the benefits of urban forestry standards, the feasibility of implementation, and whether cities tested adhered. The 30-component of the standard was the most difficult part to meet due to a …

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White Light Specular Reflection Data Augmentation For Deep Learning Polyp Detection, Jose Angel Nuñez, Fabian Vazquez Jr., Diego Adame, Xiaoyan Fu, Pengfei Gu, Bin Fu May 2025

White Light Specular Reflection Data Augmentation For Deep Learning Polyp Detection, Jose Angel Nuñez, Fabian Vazquez Jr., Diego Adame, Xiaoyan Fu, Pengfei Gu, Bin Fu

Computer Science Faculty Publications

Colorectal cancer is one of the deadliest cancers today, but it can be prevented through early detection of malignant polyps in the colon, primarily via colonoscopies. While this method has saved many lives, human error remains a significant challenge, as missing a polyp could have fatal consequences for the patient. Deep learning (DL) polyp detectors offer a promising solution. However, existing DL polyp detectors often mistake white light reflections from the endoscope for polyps, which can lead to false this http URL address this challenge, in this paper, we propose a novel data augmentation approach that artificially adds more white …

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Dry And Wet Deposition Of Atmospheric Microplastics In Las Vegas, Nevada, Laine Adame May 2025

Dry And Wet Deposition Of Atmospheric Microplastics In Las Vegas, Nevada, Laine Adame

UNLV Theses, Dissertations, Professional Papers, and Capstones

Plastics have been one of the most widely used man-made materials since their inception, and production is expected to grow by five percent every year. Plastic waste has become a growing global environmental issue. Primary MPs are plastics that are created to be intentionally tiny for their specific functional purpose. Secondary microplastics (MPs) are byproducts of plastic waste occurring due to the breakdown of larger plastics resulting in the presence and accumulation of MPs in the environment. MPs are defined as tiny particles of plastic between 5 mm and 1 μm in size. MPs have been found in the deep …

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Constructing The Soliton Wave Structure And Stability Analysis To Generalized Calogero–Bogoyavlenskii–Schiff Equation Using Improved Simple Equation Method, Mina Fahim, Hamdy Mohamed Ahmed, Islam Samir Soliman, Mohamed Elsaid, Kamal Hassan Eldib May 2025

Constructing The Soliton Wave Structure And Stability Analysis To Generalized Calogero–Bogoyavlenskii–Schiff Equation Using Improved Simple Equation Method, Mina Fahim, Hamdy Mohamed Ahmed, Islam Samir Soliman, Mohamed Elsaid, Kamal Hassan Eldib

Basic Science Engineering

In this work, we investigated the (3+1)-dimensional generalized Calogero–Bogoyavlenskii–Schiff equation, which models long wave propagation in shallow water and plays a significant role in fluid mechanics and plasma physics. Using the improved simple equations method, we obtained various solutions, including dark, bright, and singular solitons, and combinations of singular periodic solutions and exponential rational solutions. Additionally, we performed a linear stability analysis to examine the stability properties of these wave solutions. To further illustrate their characteristics during propagation, we provided 3D and contour plots for some opted wave solutions.

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Developments On Abbreviations Towards Machine Reading Comprehension, Sing Choi May 2025

Developments On Abbreviations Towards Machine Reading Comprehension, Sing Choi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Machine reading comprehension is a critical step in development of applications that require the semantic understanding of human speech-to-text driven work. Many devices such as smart home appliances like the Amazon Echo Dot, Google Home, or smart assistants like Apple Siri or Microsoft Cortana are examples of these applications. The comprehension task involves a deeper understanding and recognition of named entities such as person names, locations, medicals codes, quantities, abbreviations, and acronyms in speech or text data. In this dissertation, we explore and extend the different approaches and techniques in modern research that tackles the problem of recognition and definition …

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Proceedings Of The 12th Research Symposium At Mammoth Cave National Park, Pat Kambesis Editor, Lee Anne Bledsoe Editor, Ana K. Celis Editor May 2025

Proceedings Of The 12th Research Symposium At Mammoth Cave National Park, Pat Kambesis Editor, Lee Anne Bledsoe Editor, Ana K. Celis Editor

Mammoth Cave Research Symposia

Proceedings of the 12th Research Symposium at Mammoth Cave National Park: Celebrating 100 Years of Scientific Research & Resource Management in the Mammoh Cave Region.

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Computational Thinking, Informal Learning, And Makerspace, Redar Ismail May 2025

Computational Thinking, Informal Learning, And Makerspace, Redar Ismail

College of Computing and Digital Media Dissertations

The continuous advancement of technology has made it a crucial tool across various disciplines. As adaptation to this rapidly progressing field occurred, teaching and learning problem-solving skills are more essential than ever for empowering individuals to succeed across diverse fields. Studies have shown that engaging K-12 students in activities encouraging science, technology, engineering, mathematics (STEM), and computational thinking (CT) are critical for teaching them how to deal with complex problems (Rode, Barkhuus, & Ioannou, 2024; Shu & Huang, 2021). Makerspaces and making activities became popular among researchers and educators due to their potential to advance learning, enhance problem-solving skills, and …

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Remotely Sensed High-Resolution Soil Moisture And Evapotranspiration: Bridging The Gap Between Science And Society, Jingyi Huang, Vinit Sehgal, Laura V. Alvarez, Luca Brocca, Shuohao Cai, Rui Cheng, Xinghua Cheng, Jinyang Du, Bassil El Masri, K. Arthur Endsley, Yilin Fang, Jie Hu, Mahesh Jampani, Md Golam Kibria, Gerbrand Koren, Lingcheng Li, Laibao Liu, Jiafu Mao, Hernan A. Moreno, Angela Rigden, Mingjie Shi, Xiaoying Shi, Yaoping Wang, Xi Zhang, Joshua B. Fisher May 2025

Remotely Sensed High-Resolution Soil Moisture And Evapotranspiration: Bridging The Gap Between Science And Society, Jingyi Huang, Vinit Sehgal, Laura V. Alvarez, Luca Brocca, Shuohao Cai, Rui Cheng, Xinghua Cheng, Jinyang Du, Bassil El Masri, K. Arthur Endsley, Yilin Fang, Jie Hu, Mahesh Jampani, Md Golam Kibria, Gerbrand Koren, Lingcheng Li, Laibao Liu, Jiafu Mao, Hernan A. Moreno, Angela Rigden, Mingjie Shi, Xiaoying Shi, Yaoping Wang, Xi Zhang, Joshua B. Fisher

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

This paper reviews the current state of high-resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products and modeling, and the coupling relationship between SM and ET. SM downscaling approaches for satellite passive microwave products leverage advances in artificial intelligence and high-resolution remote sensing using visible, near-infrared, thermal-infrared, and synthetic aperture radar sensors. Remotely sensed ET continues to advance in spatiotemporal resolutions from MODIS to ECOSTRESS to Hydrosat and beyond. These advances enable a new understanding of bio-geo-physical controls and coupled feedback mechanisms between SM and ET reflecting the land cover and land use at field scale (3–30 m, daily). …

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Real-World Implementation Of A Noninvasive, Ai-Augmented, Anemia-Screening Smartphone App And Personalization For Hemoglobin Level Self-Monitoring, Robert G. Mannino, Julie Sullivan, Jennifer K. Frediani, Paul George, Jeremy Whitson, James Tumlin, L. Andrew Lyon, Erika A. Tyburski, Wilbur A. Lam May 2025

Real-World Implementation Of A Noninvasive, Ai-Augmented, Anemia-Screening Smartphone App And Personalization For Hemoglobin Level Self-Monitoring, Robert G. Mannino, Julie Sullivan, Jennifer K. Frediani, Paul George, Jeremy Whitson, James Tumlin, L. Andrew Lyon, Erika A. Tyburski, Wilbur A. Lam

Engineering Faculty Articles and Research

Anemia, characterized by low blood hemoglobin (Hgb) levels, afflicts >2 billion individuals worldwide. Here, we report real-world data generated by a smartphone app that noninvasively screens for anemia using only “fingernail selfies.” App data for anemia screening were obtained from >1.4 million uses across the United States enabling geographic mapping of Hgb levels. Of those, 9,061 users also self-reported complete blood count Hgb levels for comparison, resulting in accuracy and performance that match gold standard laboratory testing and a sensitivity and specificity of 89% and 93%, respectively, when using an anemia cutoff of 12.5 g/dL. Geotagged data enabled construction of …

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Integrating Artificial Intelligence In Orthopedic Care: Advancements In Bone Care And Future Directions, Rahul Kumar, Kyle Sporn, Joshua Ong, Ethan Waisberg, Phani Paladugu, Swapna Vaja, Tamer Hage, Tejas C. Sekhar, Amar S. Vadhera, Alex Ngo, Nasif Zaman, Alireza Tavakkoli, Mouayad Masalkhi May 2025

Integrating Artificial Intelligence In Orthopedic Care: Advancements In Bone Care And Future Directions, Rahul Kumar, Kyle Sporn, Joshua Ong, Ethan Waisberg, Phani Paladugu, Swapna Vaja, Tamer Hage, Tejas C. Sekhar, Amar S. Vadhera, Alex Ngo, Nasif Zaman, Alireza Tavakkoli, Mouayad Masalkhi

SKMC Student Presentations and Publications

Artificial intelligence (AI) is revolutionizing the field of orthopedic bioengineering by increasing diagnostic accuracy and surgical precision and improving patient outcomes. This review highlights using AI for orthopedics in preoperative planning, intraoperative robotics, smart implants, and bone regeneration. AI-powered imaging, automated 3D anatomical modeling, and robotic-assisted surgery have dramatically changed orthopedic practices. AI has improved surgical planning by enhancing complex image interpretation and providing augmented reality guidance to create highly accurate surgical strategies. Intraoperatively, robotic-assisted surgeries enhance accuracy and reduce human error while minimizing invasiveness. AI-powered smart implant sensors allow for in vivo monitoring, early complication detection, and individualized rehabilitation. …

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Probing Binding And Allosteric Mechanisms Of The Kras Interactions With Monobodies And Affimer Proteins : Ensemble-Based Mutational Profiling And Thermodynamic Analysis Of Binding Energetics And Allostery Reveal Diversity Of Functional Hotspots And Cryptic Pockets Linked By Conserved Communication Network, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Guang Hu, Gennady M. Verkhivker May 2025

Probing Binding And Allosteric Mechanisms Of The Kras Interactions With Monobodies And Affimer Proteins : Ensemble-Based Mutational Profiling And Thermodynamic Analysis Of Binding Energetics And Allostery Reveal Diversity Of Functional Hotspots And Cryptic Pockets Linked By Conserved Communication Network, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Guang Hu, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

KRAS, a historically "undruggable" oncogenic driver, has eluded targeted therapies due to its lack of accessible binding pockets in its active state. This study investigates the conformational dynamics, binding mechanisms, and allosteric communication networks of KRAS in complexes with monobodies (12D1, 12D5) and affimer proteins (K6, K3, K69) to characterize the binding and allosteric mechanisms and hotspots of KRAS binding. Through molecular dynamics simulations, mutational scanning, binding free energy analysis and network-based analyses, we identified conserved allosteric hotspots that serve as critical nodes for long-range communication in KRAS. Key residues in β-strand 4 (F78, L80, F82), α-helix 3 (I93, H95, …

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Climate Constrains The Enhancement Of Co2 Fertilization On Forest Gross Primary Productivity, Xinyuan Wei, Daniel J. Hayes, Christopher R. Schwalm, Joshua B. Fisher, Deborah N. Huntzinger, Lei Ma, Rodrigo Vargas, Nathaniel A. Brunsell May 2025

Climate Constrains The Enhancement Of Co2 Fertilization On Forest Gross Primary Productivity, Xinyuan Wei, Daniel J. Hayes, Christopher R. Schwalm, Joshua B. Fisher, Deborah N. Huntzinger, Lei Ma, Rodrigo Vargas, Nathaniel A. Brunsell

Mathematics, Physics, and Computer Science Faculty Articles and Research

Forest gross primary production (GPP) is influenced by the interplay between climate conditions and atmospheric CO2 levels, which interact in complex ways, generating both compensating and amplifying effects. In this study, eddy covariance flux measurements from 50 forest ecosystems were integrated with simulations from 14 terrestrial biosphere models to investigate how climate conditions and atmospheric CO2 concentrations regulate forest GPP. This approach bridges site-level observations with biome-scale model estimates to develop a global understanding. Our findings suggest that in boreal and cold temperate regions, temperature primarily constrains the enhancement of the CO2 fertilization on forest GPP; however, …

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Applications Of The Mathieu Groups And Information Theory In Dna Encoding Functions, Juan C. Nava Jr May 2025

Applications Of The Mathieu Groups And Information Theory In Dna Encoding Functions, Juan C. Nava Jr

Theses and Dissertations

A foundational idea in mathematics lies in breaking down existing components into their bare fundamentals. As evidenced by prime numbers and composites, we learn this idea at an early age. Categorizing these broken-down components into their simplest form allows mathematicians to construct proofs from emergent patterns. John Conway’s Atlas of Finite Groups in the 1990s was particularly concerned with the categorization of structures known as groups. There are certain axioms a group must adhere to, which amount to the retention of symmetry; ultimately a group helps us to better understand symmetric actions performed on a set with a binary operation. …

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Gnns For Network Classification In Single Cell Rna Sequencing Data, Reid C. Sewell May 2025

Gnns For Network Classification In Single Cell Rna Sequencing Data, Reid C. Sewell

Capstone Projects

A common technique when investigating a disease is to profile gene expression, as this gives unique insights into the functions of a cell. Gene expression data gathered from single cell RNA sequencing can be encoded into a gene co-expression network, which is a graph of potential relationships between different genes. One method for interpreting data encoded as a graph is to use a graph neural network, or GNN. This project designs and implements a GNN architecture to accomplish classification tasks on graph data. Then, given a dataset of gene co-expression networks made from multiple single cell RNA sequencing studies, the …

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Phosphomimetic Substitution Of Serine Residue Ser260 With Aspartate Suggests Regulation Of Activity Of Human Cytosolic Malate Dehydrogenase By Phosphorylation, Charles Pelagalli '25, Luke Tischio, Kathleen Cornely May 2025

Phosphomimetic Substitution Of Serine Residue Ser260 With Aspartate Suggests Regulation Of Activity Of Human Cytosolic Malate Dehydrogenase By Phosphorylation, Charles Pelagalli '25, Luke Tischio, Kathleen Cornely

Chemistry & Biochemistry Faculty Publications

Human cytosolic malate dehydrogenase (MDH1) is a key enzyme involved in the malate-aspartate shuttle of eukaryotic cells, and which catalyzes the reaction of oxaloacetate to malate. As MDH1 is responsible for maintaining redox homeostasis by regeneration of NAD+ for glycolysis, its regulation is of particular interest in pharmaceutical applications, specifically in treating cancer cells that proliferate quickly and hence rely greatly on glycolysis. While the regulation of MDH1 by the phosphorylation of key residues has been previously documented, work still remains in identifying the specific residues involved in regulation of the enzyme by phosphorylation. In this study, we used …

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Deep Learning Classification Of Drainage Crossings Based On High-Resolution Dem-Derived Geomorphological Information, Michael Edidem, Bill Xu, Ruopu Li, Di Wu, Banafsheh Rekabdar, Guangxing Wang May 2025

Deep Learning Classification Of Drainage Crossings Based On High-Resolution Dem-Derived Geomorphological Information, Michael Edidem, Bill Xu, Ruopu Li, Di Wu, Banafsheh Rekabdar, Guangxing Wang

Computer Science Faculty Publications and Presentations

High-resolution digital elevation models (HRDEMs) from LiDAR and InSAR technologies have significantly improved the accuracies of mapping hydrographic features such as river boundaries, streamlines, and waterbodies over large areas. However, drainage crossings that facilitate the passage of drainage flows beneath roads are not often represented in HRDEMs, resulting in erratic or distorted hydrographic features. At present, drainage crossing datasets are largely missing or available with variable quality. While previous studies have investigated basic convolutional neural network (CNN) models for drainage crossing characterization, it remains unclear if advanced deep learning models will improve the accuracy of drainage crossing classification. Although HRDEM-derived …

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Turn-On Fluorescent Glucose Transport Bioprobe Enables Wash-Free Real-Time Monitoring Of Glucose Uptake Activity In Live Cells And Small Organisms, Monica Soma Hensley, David Hutchings, Abdelrahman Ismail, Marina Tanasova May 2025

Turn-On Fluorescent Glucose Transport Bioprobe Enables Wash-Free Real-Time Monitoring Of Glucose Uptake Activity In Live Cells And Small Organisms, Monica Soma Hensley, David Hutchings, Abdelrahman Ismail, Marina Tanasova

Michigan Tech Publications

The direct link between sugar uptake and metabolic diseases highlights the iminent need for molecular tools to detect and evaluate alterations in sugar uptake efficiency as approaches to identify disease-relevant metabolic alterations. However, the strict requirements of facilitative glucose transporters regarding substrate binding and translocation pose challenges for developing effective fluorescence molecular probes. Based on the state-of-the-art understanding of glucose recognition by facilitative transporters (GLUTs), we designed a glucopyranoside mimic - GluRho - that delivers the “turn-on” rhodamine B to live cells via glucose transport, including major transporters GLUTs 1-4. The high binding affinity achieved through the secondary interaction between …

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Enabling New Synthetic Platforms For Aryne Synthesis With Aryl Thianthrenium Reagents, Riley Augustus Roberts May 2025

Enabling New Synthetic Platforms For Aryne Synthesis With Aryl Thianthrenium Reagents, Riley Augustus Roberts

Dissertations and Theses

The enormous importance of aromatic rings in organic molecules cannot be understated. Aromatic rings are present in the majority of pharmaceuticals, agrochemicals, and consumer products. The way in which these rings are arranged and substituted results in a molecule’s unique properties. Because of this, the current limitations of the chemical methods used to synthesize these molecules results in limited structural diversity and thus missed opportunities for the development of value-added products. To this end, this work demonstrates novel methods of aryne synthesis, aryl thianthrenium synthesis and a unique approach to structural scaffold hopping. The approaches presented herein allow for rapid …

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Machine Learning Course: A 15-Week Interactive Curriculum With Code And Case Studies, Pegah Khosravi May 2025

Machine Learning Course: A 15-Week Interactive Curriculum With Code And Case Studies, Pegah Khosravi

Open Educational Resources

This open-access machine learning course is a comprehensive 15-week curriculum developed and published on GitHub with full Google Colab compatibility. It combines theoretical concepts with hands-on Python coding, real-world datasets, and structured projects covering regression, classification, clustering, deep learning, transformers, and multimodal AI. The course is designed for students, educators, and researchers interested in applied machine learning, including biomedical applications. It includes explainable AI components and ethical discussions to align with modern AI standards. The course is maintained by BioMind AI Lab at CUNY.

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Development Of New Oxidative Methods And Synthesis Of Small Molecules For Modulation Of Biological Systems, Robert Eric Anderson May 2025

Development Of New Oxidative Methods And Synthesis Of Small Molecules For Modulation Of Biological Systems, Robert Eric Anderson

Dissertations - ALL

Oxoammonium salts have commonly been used to oxidize alcohols to aldehydes and ketones. More recently these reagents have been employed in several different oxidative transformations. Utilizing these reagents a new tandem elimination-oxidation process of tertiary alcohols has been developed. The new process yields an allylic ether which can be transformed to the alcohol easily through a reduction with zinc metal, removing the tetramethylpipyridyl protecting group derived form the oxoammonium salt. Mechanistically the reaction likely proceeds through oxoammonium salt mediated elimination followed by allylic oxidation through an ene-type mechanism. Due to the alcohol being protected by the easily removed oxoammonium salt, …

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Exploring Higher-Order Networks, Hao Tian May 2025

Exploring Higher-Order Networks, Hao Tian

Dissertations - ALL

Networks are natural representations of interactions in the real world (social networks, bio-networks, road networks, and the like) and are utilized across various disciplines. By default, network interactions are pairwise; in recent years, the demand for model ing higher-order interactions has kept increasing. For example, in collaboration networks, we aim to distinguish between one publication coauthored by three or three publications coauthored by two in a triangle. In this work, we perform higher-order network analysis in the following two directions. First, we explore the influence of higher-order structures on dyadic (pairwise) graphs; second, we model higher-order interactions by ordered hy …

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Geometry And Mechanical Response Of Twisted Thin Tubes, Pan Dong May 2025

Geometry And Mechanical Response Of Twisted Thin Tubes, Pan Dong

Dissertations - ALL

Nature provides many examples of thin sheets and shells, from flower petals to graphene sheets. Such materials can exhibit complex deformations such as creases, folds and wrinkles, particularly in thin, flexible structures like cylindrical shells and ribbons. Here we investigate the geometric transformation and mechanical response of a twisted thin tube, which is made from a thin polymer sheet. In Chapter 2, an interesting "locking behavior" was found in a thin cylindrical shell. After an initial compression, the shell can be twisted with little resistance until it reaches a “locking angle”, which coincides with the appearance of an ordered wrinkle …

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Harnessing Llms To Detect Hate Speech, Weibin Cai May 2025

Harnessing Llms To Detect Hate Speech, Weibin Cai

Theses - ALL

Hate is a sentiment, while hate speech refers to the expression of hate in a form that targets and attacks specific groups, such as race, religion, or gender. With the rise of the internet and social media, hate speech has spread rapidly, gaining wide exposure and posing threats to individual well-being, the profits of major tech companies, and social stability. As a result, both industry and academia have turned their attention to the study of hate speech. One of the most active areas is hate speech detection, which involves training models to predict whether a given piece of content is …

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Chemical Reversal Of Beta-Lactam Resistance And Induction Of Hyper-Susceptibility In Pseudomonas Aeruginosa By Limiting Horizontal Gene Transfer Under Beta-Lactam Stress, Aimee Iradukunda May 2025

Chemical Reversal Of Beta-Lactam Resistance And Induction Of Hyper-Susceptibility In Pseudomonas Aeruginosa By Limiting Horizontal Gene Transfer Under Beta-Lactam Stress, Aimee Iradukunda

Dissertations - ALL

The emergence of antibiotic resistance poses a significant threat to global health, with certain bacterial strains evolving to resist multiple drugs. Urgent action is necessary to develop new antibacterial agents that effectively target these resistant strains; however, no new classes of antibiotics have been approved in recent decades. This research employs innovative biological tools to identify and highlight factors influencing resistance dynamics. Additionally, this study refines the novel approach by utilizing adjuvants to chemically repurpose existing antibiotics and improve their effectiveness against antibiotic-resistant strains. Pseudomonas aeruginosa, recognized for its adaptability, persistent infections—especially in cystic fibrosis patients—and widespread antibiotic resistance, serves …

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Body Size Trends Of Late Devonian Dacryoconarid Tentaculitoids And Protocol Development For I/Ca Analysis In Corals By La-Icp-Ms, Ashley Prow-Fleischer May 2025

Body Size Trends Of Late Devonian Dacryoconarid Tentaculitoids And Protocol Development For I/Ca Analysis In Corals By La-Icp-Ms, Ashley Prow-Fleischer

Dissertations - ALL

Paleoclimatology provides context for understanding the timescales and animal responses to environmental change under modern climate change scenarios. The key drivers of climate variability are identified using proxies for environmental conditions. Biological archives are especially useful for linking changing conditions to ecosystem responses. This dissertation establishes the foundation for utilizing dacryoconarid microfossils as biostratigraphic indicators of environmental change in the Paleozoic. It also presents a protocol for measuring iodine-to-calcium (I/Ca) ratios—an established proxy for localized hypoxia—in coral skeletons using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Studying Paleozoic microfossils presents challenges due to the high degree of induration of …

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The Relationship Between Belief In Religion And Ethical Values, Lauren Youngquist May 2025

The Relationship Between Belief In Religion And Ethical Values, Lauren Youngquist

Science Symposium

Research suggests that individuals who hold religion to a higher importance are more likely to make ethical judgments, although there has been contradicting research showing no correlation between religion and ethics. My study fills the gap in the literature and examines the relationship between a belief in religion and ethics, specifically looking at the justifiability of certain unethical behaviors.

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Diel Patterns Of Biogeochemical Indicators In Tidally-Dominated Creeks, Juliana Calderone May 2025

Diel Patterns Of Biogeochemical Indicators In Tidally-Dominated Creeks, Juliana Calderone

Honors Theses

Marshes and swashes are vital environments as a controlling barrier between land affected by various pollutants and the ocean. Eutrophication and the effects of this process can be detrimental for the areas experiencing it. I am interested in ways areas that have little contact with human interactions compare to areas that are heavily urbanized, and whether either of these locations is at a higher risk for eutrophication. Using spectrophotometry and fluorometry, I analyzed samples collected from the relatively undeveloped and restricted-access locations of Waities Island Beach and Dunn Sound monthly for dissolved nutrients, and chlorophyll. At the time of sampling, …

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From Fables To Facts: Discovering The World Through Stories And Science, Lucille Helen Vanek May 2025

From Fables To Facts: Discovering The World Through Stories And Science, Lucille Helen Vanek

Graduate Student Portfolios, Professional Papers, and Capstone Projects

From Fables to Facts: Discovering the World Through Stories and Science examines the integration of narrative storytelling and hands-on scientific exploration as a means of cultivating environmental literacy, ethical reflection, and sustained engagement with the natural world. Grounded in environmental philosophy, aesthetics, and ethics, the project draws on theoretical insights from Holmes Rolston III, Marcia Muelder Eaton, Allen Carlson, Arnold Berleant, and C. Thi Nguyen to develop a multidimensional model of education that unites imagination, cognition, and participatory experience. Implemented in diverse Montana community settings—including libraries, early learning centers, science museums, and faith-based organizations—the program paired fables, parables, and literary …

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Multi-Modal Mri For The Pre-Clinical Evaluation Of Hiv-Linked Changes In The Central Nervous System, Gabriel Gauthier May 2025

Multi-Modal Mri For The Pre-Clinical Evaluation Of Hiv-Linked Changes In The Central Nervous System, Gabriel Gauthier

Theses & Dissertations

Though the inception of anti-retroviral therapy (ART) has fundamentally changed the life expectancy of human immunodeficiency virus (HIV) patients, accessibility and outcomes vary enormously along demographic lines. Even for people living with HIV (PLWH) with perfect access and adherence to anti-retroviral drugs (ARVs), modern treatment plans are fundamentally unable to secure complete viral remission for patients. The cause of this perpetual infection is the persistence of viral reservoirs in the central nervous system (CNS), hidden beyond the reach of modern ARVs, leaving patients to deal with lifelong medication side-effects and risks of developing HIV-associated neurodegenerative disorders (HAND). Despite improving outcomes …

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