Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 14341 - 14370 of 294530

Full-Text Articles in Physical Sciences and Mathematics

2025 June 12 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Jun 2025

2025 June 12 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.


Enzymatic Characterization Of Bacterial Enzymes And Inhibitors As Potential Antibiotics With New Mechanisms Of Action, Emma Helene Kelley Jun 2025

Enzymatic Characterization Of Bacterial Enzymes And Inhibitors As Potential Antibiotics With New Mechanisms Of Action, Emma Helene Kelley

Dissertations

Bacteria have become increasingly resistant to antibiotics, therefore there is an urgent need for new drug classes of antibiotics to help fight antibiotic infections. To this end, our research is focused on inhibitors of dizinc metalloenzymes N-succinyl-L,L-diaminopimelic acid desuccinylase (DapE), an enzyme in the lysine biosynthesis pathway, N-acetyl-L-ornithine deacetylase enzyme (ArgE), an enzyme in the arginine biosynthesis pathway, and sodium-dependent NADH: ubiquinone oxidoreductase (Na+-NQR) enzyme, a respiratory complex enzyme as promising drug targets. DapE, ArgE, and Na+-NQR and are only present in bacteria, including ESKAPE pathogens that can cause potentially deadly infections, thus inhibitors of DapE, ArgE, and Na+-NQR offer …


Principles For Physics Lab Reports Using Google Sheets, Vasiliy Znamenskiy Jun 2025

Principles For Physics Lab Reports Using Google Sheets, Vasiliy Znamenskiy

Open Educational Resources

This instructional guide provides detailed standards and best practices for students preparing physics lab reports using Google Sheets. It emphasizes the importance of precise data entry, formula-based calculations, and clearly labeled units. The document outlines rigorous conventions for mathematical formatting, error analysis (including percent error and percent difference), and data presentation in tables and graphs. It instructs students to maintain a structured single-page format for each report, include proper labeling and trendline analysis in graphs, and ensure automated and verifiable calculations. Submission and feedback procedures are clearly defined, highlighting the importance of collaborative revision and instructor comments. The guide also …


A New Model For Educational Program Assessments Using Automated Collective Concept Maps, Andrew R. Paullin Jun 2025

A New Model For Educational Program Assessments Using Automated Collective Concept Maps, Andrew R. Paullin

Master's Theses (2009 -)

This paper presents: Epistemological principles; the origins and theoretical foundations of concept maps; the current state of related works; the contributions, methods, results, and future road map of this research; and A New Model for Educational Program Assessments. An understanding that knowledge results from an evolution of cognitive structures enables a scientific approach to enhance the efficiency of learning. Building on prior works, this research provides a novel algorithm and tool to automatically create Collective Concept Maps from Individual Concept Maps by utilizing a dictionary, thesaurus, Natural Language Processing, Machine Learning / Artificial Intelligence, and domain expertise. Abstraction Filters enable …


Development Of Novel Force Fields For Metal Ions, Madelyn Smith Jun 2025

Development Of Novel Force Fields For Metal Ions, Madelyn Smith

Dissertations

Many biological proteins require the presence of a metal ion in order to properly function. However, metal ions’ complex nature charge poses several challenges to accurately and efficiently simulate computationally. For example, metal ions can exhibit multiple oxidation states, electronic state degeneracy, flexible coordination numbers, and significant polarization effects. To address these problems, this dissertation aims to enhance force fields for modeling metal ions in molecular dynamics simulations. First, a comprehensive set of van der Waals radii for metal ions is derived, demonstrating the importance of using physically meaningful parameters in force fields. Second, a comprehensive set of atomic and …


Re: Approval Letter For The Draft Final Butte Reduction Works (Brw) Air Monitoring For Interim Demolition Activities – Phase I Data Summary Report (Dated March 21, 2025), Emma Rott Jun 2025

Re: Approval Letter For The Draft Final Butte Reduction Works (Brw) Air Monitoring For Interim Demolition Activities – Phase I Data Summary Report (Dated March 21, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Re: Comment Letter For The Final Butte Reduction Works (Brw) Smelter Area Waste Remediation And Contaminated Groundwater Hydraulic Control Site Air Monitoring Quality Assurance Project Plan (Qapp) For Interim Demolition Activities (Dated May 19, 2025), Emma Rott Jun 2025

Re: Comment Letter For The Final Butte Reduction Works (Brw) Smelter Area Waste Remediation And Contaminated Groundwater Hydraulic Control Site Air Monitoring Quality Assurance Project Plan (Qapp) For Interim Demolition Activities (Dated May 19, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


A Survey On Immersive Cyber Situational Awareness Systems, Hussain Ahmad, Faheem Ullah, Rehan Jafri Jun 2025

A Survey On Immersive Cyber Situational Awareness Systems, Hussain Ahmad, Faheem Ullah, Rehan Jafri

All Works

Cyber situational awareness systems are increasingly used for creating cyber common operating pictures for cybersecurity analysis and education. However, these systems face data occlusion and convolution issues due to the burgeoning complexity, dimensionality, and heterogeneity of cybersecurity data, which damages cyber situational awareness of end-users. Moreover, conventional forms of human–computer interactions, such as mouse and keyboard, increase the mental effort and cognitive load of cybersecurity practitioners when analyzing cyber situations of large-scale infrastructures. Therefore, immersive technologies, such as virtual reality, augmented reality, and mixed reality, are employed in the cybersecurity realm to create intuitive, engaging, and interactive cyber common operating …


Automated Grain-Matrix Segmentation In Photomicrographs Of Clastic Sedimentary Rocks Using Neuro-Visual Algorithms, Rajdeep Das Jun 2025

Automated Grain-Matrix Segmentation In Photomicrographs Of Clastic Sedimentary Rocks Using Neuro-Visual Algorithms, Rajdeep Das

Doctoral Theses

Sediments and sedimentary rocks, covering almost sixty-five percent of exposed earth’s surface, contain features that allow us to interpret ancient depositional environments, and their role in the evolution of life on earth. Study of sedimentary rocks is also relevant to exploration of geo-economic resources including petroleum, ore minerals, and groundwater as well as research in environmental geology, anthropological studies, and the bi-directional relation of man and environment. One of the important and crucial steps in this study of the detrital sedimentary rocks like sandstone, is to know the size and shape of the grains/clasts (fragments of different minerals or rocks), …


Virtual Assistant For Pest Management, Viswanada Chakravarthy Karri Jun 2025

Virtual Assistant For Pest Management, Viswanada Chakravarthy Karri

Master’s Dissertations

Effective pest identification and management are essential for ensuring agricultural productivity, especially in regions with limited expert access. This work proposes a virtual assistant based on a Retrieval-Augmented Generation (RAG) [1] framework to support pest management tasks. The system utilizes a multimodal dataset consisting of pest images and annotated textual interactions, adapted from the AgriLLaVA corpus [2]. The assistant combines retrieval mechanisms with generative language models to generate contextually grounded responses. It is designed for deployment on local hardware with limited computational resources, integrating open-source models for both retrieval and generation. Preliminary results suggest that this approach can provide accurate, …


The Rise Of Faint, Red Active Galactic Nuclei At Z > 4: A Sample Of Little Red Dots In The Jwst Extragalactic Legacy Fields, Dale D. Kocevski, Steven L. Finkelstein, Guillermo Barro, Anthony J. Taylor, Antonello Calabrò, Brivael Laloux, Johannes Buchner, Jonathan R. Trump, Gene C.K. Leung, Guang Yang, Mark Dickinson, Pablo G. Pérez-González, Fabio Pacucci, Kohei Inayoshi, Rachel S. Somerville, Elizabeth J. Mcgrath, Hollis B. Akins, Micaela B. Bagley, Rebecca A.A. Bowler, Laura Bisigello, Adam Carnall Jun 2025

The Rise Of Faint, Red Active Galactic Nuclei At Z > 4: A Sample Of Little Red Dots In The Jwst Extragalactic Legacy Fields, Dale D. Kocevski, Steven L. Finkelstein, Guillermo Barro, Anthony J. Taylor, Antonello Calabrò, Brivael Laloux, Johannes Buchner, Jonathan R. Trump, Gene C.K. Leung, Guang Yang, Mark Dickinson, Pablo G. Pérez-González, Fabio Pacucci, Kohei Inayoshi, Rachel S. Somerville, Elizabeth J. Mcgrath, Hollis B. Akins, Micaela B. Bagley, Rebecca A.A. Bowler, Laura Bisigello, Adam Carnall

Pacific Faculty Work

We present a sample of 341 “little red dots” (LRDs) spanning the redshift range z ∼ 2-11 using data from the CEERS, PRIMER, JADES, UNCOVER, and NGDEEP surveys. Unlike past use of color indices to identify LRDs, we employ continuum slope fitting using shifting bandpasses to sample the same rest-frame emission blueward and redward of the Balmer break. This enables the detection of LRDs over a wider redshift range and with less contamination from galaxies with strong breaks that otherwise lack a rising red continuum. The redshift distribution of our sample increases at z < 8 and then undergoes a rapid decline at z ∼ 4.5, which may tie the emergence of these sources to the inside-out growth that galaxies experience during this epoch. We find that LRDs are ∼1 dex more numerous than X-ray- and UV-selected active galactic nuclei (AGN) at z ∼ 5-7. Within our sample, we have identified the first two X-ray-detected LRDs. An X-ray spectral analysis confirms that these AGN are moderately obscured with log ( N H / cm 2 ) of 23 . 3 − 1.3 + 0.4 and 22.7 2 − 0.16 + 0.13 . Our analysis reveals that reddened AGN emission dominates their rest-optical light, while the rest-UV originates from their host galaxies. We also present NIRSpec observations from the RUBIES survey of 17 LRDs that show broad emission lines consistent with AGN activity. The confirmed AGN fraction of our sample is 71% for sources with F444W < 26.5. In addition, we find three LRDs with blueshifted Balmer absorption features in their spectra, suggesting an outflow of high-density, low-ionization gas from near the central engine of these faint, red AGN.


Western Kentucky University Stormwater Utility Survey 2025, Warren Campbell Jun 2025

Western Kentucky University Stormwater Utility Survey 2025, Warren Campbell

SEAS Faculty Publications

This survey provides data on 2147 U.S. and 82 Canadian stormwater utilities. The data is intended to provide useful data to communities that wish to enact stormwater utilities. Different fee systems are examined with the goal of avoiding legal exposure. Recently, the major source of pre-disaster mitigation funds was eliminated. States should consider state-wide stormwater utilities to make up for this loss.


2.5d Dual-Encoder U-Net For Lesion Segmentation In Chest Ct Scans, Jagannath Mukkara Jun 2025

2.5d Dual-Encoder U-Net For Lesion Segmentation In Chest Ct Scans, Jagannath Mukkara

Master’s Dissertations

Accurate segmentation of lesions in chest CT scans plays a vital role in diagnosing and monitoring pulmonary diseases such as COVID-19. In this, we introduce a novel 2.5D[1] dual-encoder U-Net model[2] that utilizes both the central slice and its neighboring slices to improve segmentation accuracy while keeping computational demands manageable. Our model incorporates residual connections[3] and feature fusion[4] to effectively merge multi-slice contextual information, overcoming the limitations found in traditional 2D and 3D methods. To ensure a reliable evaluation and avoid data leakage, we used patient-level data splitting. We validate our approach on a carefully curated chest CT dataset, showing …


Influence Of Tropical Cyclones, Southwest Monsoon, And Tropical Cyclone-Enhanced Southwest Monsoon On Rainfall Variability Over The Western Coast Of The Philippines, Alwin Bathan, Lyndon Mark Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, Joel T. Maquiling, Maria Obiminda L. Cambaliza, John A. Manalo, Jun Matsumoto Jun 2025

Influence Of Tropical Cyclones, Southwest Monsoon, And Tropical Cyclone-Enhanced Southwest Monsoon On Rainfall Variability Over The Western Coast Of The Philippines, Alwin Bathan, Lyndon Mark Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, Joel T. Maquiling, Maria Obiminda L. Cambaliza, John A. Manalo, Jun Matsumoto

SOSE Affiliate: Manila Observatory

This study investigates the processes driving interannual variability of rainfall over the western coast of the Philippines during the peak southwest monsoon (SWM) months (July–September) from 1961 to 2022. Specifically, it describes how tropical cyclones (TC), SWM, and TC-enhanced SWM influence SWM rainfall variability. Rainfall measurements from 11 stations along the western coast of the Philippines were classified into three types: direct TC rainfall (PD), indirect TC rainfall (PI), and SWM rainfall (PSM). The yearly contributions of PD, PI, and PSM to SWM rainfall were estimated to be 15.4 %, 33.1 %, and 51.5 %, respectively. Furthermore, four rainfall variability …


Understanding Batch-Normalization In Deep Neural Networks, Pendyala Sai Srujan Jun 2025

Understanding Batch-Normalization In Deep Neural Networks, Pendyala Sai Srujan

Master’s Dissertations

Batch Normalization (BN) is a commonly used technique in various deep learning architectures for tasks such as image classification and object detection. It stabilizes and accelerates training by normalizing the activations of intermediate layers using mean and variance of the batch, allowing the use of higher learning rates and often improving generalization through implicit regularization. During inference, BN uses running estimates of batch statistics accumulated during training. However, if individual batches are not representative of the overall data distribution, these accumulated statistics may not accurately approximate the population statistics. This discrepancy can lead to a phenomenon known as **estimation shift**, …


A Study On Planar 2-Center Problem, Shince K. Baby Jun 2025

A Study On Planar 2-Center Problem, Shince K. Baby

Master’s Dissertations

The Planar-k-Centre problem is an important problem in the class of Optimal Facility Location problems, where given n points in the planar, the objective is finding the smallest k congruent discs such that their union encompasses all points. This dissertation examines a variant of this problem in which the L1 metric is used to determine the distances rather than the standard Euclidean metric, which we call L1P2C and a closely related problem which we call Undirected k Square Coverage where there is no directional constraint for the k squares which contain the given set of points. We have found two …


Morphology Based Galaxy Classification, Ayan Mukherjee Jun 2025

Morphology Based Galaxy Classification, Ayan Mukherjee

Master’s Dissertations

Galaxy evolution is an area of vital importance in current research as it is believed to hold vital clues of the past as well as the future of the universe. The structure or morphology of a galaxy acts as an indicator of its stage of evolution and may also shed light on the course of its future evolution. The deployment of high-resolution telescopes like James Webb Telescope has made available large amount of high-resolution images, thereby, facilitating the deployment of high-performance Machine Learning and Deep Learning techniques. In the proposed work, two different methods have been assessed to achieve better …


Multi-Modal Large Language Model For Visual Question Answering On Medical Domain, Srimanta Singha Jun 2025

Multi-Modal Large Language Model For Visual Question Answering On Medical Domain, Srimanta Singha

Master’s Dissertations

Artificial intelligence (AI) strategies such as Multimodal learning, which can integrate inputs of multiple modes, e.g., image and text, have shown significant promise in medical applications. In this dissertation, we present our related study of a Multimodal Large Language Model (MLLM) designed for Visual Question Answering (VQA) in the medical domain, based on both image and text input modalities to improve diagnostic reasoning and decision support. Our model processes medical images (e.g., chest Xrays, CT scans, and ultrasound images) along with clinical text to answer complex, domain-specific questions. We employ a cross-modal fusion mechanism to align visual features with textual …


Draft Final 2025 Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) Annual Update (Non-Residential Parcels And Residential Daycares), Pioneer Technical Services, Inc. Jun 2025

Draft Final 2025 Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) Annual Update (Non-Residential Parcels And Residential Daycares), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


The Impact Of Substrate Structure And Catalyst Identity On The Lewis-Acid Catalyzed Carbonyl-Olefin Metathesis Reaction, Cory William Schneider Jun 2025

The Impact Of Substrate Structure And Catalyst Identity On The Lewis-Acid Catalyzed Carbonyl-Olefin Metathesis Reaction, Cory William Schneider

Dissertations

The formation of carbon-carbon double bonds is one of the most important transformations in organic chemistry, as they are integral to the structural scaffold of many organic molecules. Thus, the development and understanding of reactions that form such bonds is crucial. Lewis-acid catalyzed carbonyl-olefin metathesis is one such reaction. Like many others, this reaction is sensitive to both the identity of the catalyst, as well as the structure of the substrate. In this dissertation, I present empirical and theoretical works investigating how the catalyst identity and the substrate direct the reactivity of the Lewis-acid catalyzed carbonyl-olefin metathesis reaction.


The Critical Plastocapillary Number For A Newtonian Liquid Filament Embedded Into A Viscoplastic Fluid, Mohammad Tanver Hossain, Wonsik Eom, Arjun Shah, Andrew Lowe, Douglas Fudge, Sameh H. Tawfick, Randy Ewoldt Jun 2025

The Critical Plastocapillary Number For A Newtonian Liquid Filament Embedded Into A Viscoplastic Fluid, Mohammad Tanver Hossain, Wonsik Eom, Arjun Shah, Andrew Lowe, Douglas Fudge, Sameh H. Tawfick, Randy Ewoldt

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The yield stress of a viscoplastic material can stabilize an embedded fluid tunnel against capillarity-induced breakup, enabling remarkable technologies such as embedded 3D printing of intricate, freeform, and small components. However, there is persistent disagreement in the published literature between the observed minimum stable diameter, 𝑑min, and the theoretical plastocapillary length 𝑝𝑐 = 2𝛤∕𝜎𝑦, with interfacial tension 𝛤 and bath yield stress 𝜎𝑦, leading to a prior hypothesis that the apparent surface tension 𝛤 is much smaller to enforce 𝑑min = 𝑝𝑐 . Here we introduce and experimentally test a new hypothesis that the critical diameter is set by the …


Higher-Order Exceptional Points In A Non-Reciprocal Waveguide Beam Splitter, Hamed Ghaemidizicheh, Shahram Dehdashti, Andreas Hanke, Ahmed Touhami, Janis Nötzel Jun 2025

Higher-Order Exceptional Points In A Non-Reciprocal Waveguide Beam Splitter, Hamed Ghaemidizicheh, Shahram Dehdashti, Andreas Hanke, Ahmed Touhami, Janis Nötzel

Physics & Astronomy Faculty Publications

Non-Hermitian systems have attracted significant interest because of their intriguing properties, including exceptional points (EPs), where eigenvalues and the corresponding eigenstates coalesce. In particular, quantum systems with EPs exhibit an enhanced sensitivity to external perturbations, which increases with the order of the EP. Therefore, higher-order EPs hold significant potential for advanced sensing applications, but they are challenging to achieve due to stringent symmetry requirements. In this work, we study the dynamics of a generalized lossy waveguide beam splitter with asymmetric coupling by introducing non-reciprocity as a tunable parameter to achieve higher-order EPs even without dissipation. Moreover, we analyze the evolution …


High-Resolution Temperature Profiling In The Pi Chamber: Variability Of Statistical Properties Of Temperature Fluctuations, Robert Grosz, Kamal Kant Chandrakar, Raymond A. Shaw, Jesse C. Anderson, Will Cantrell, Szymon P. Malinowski Jun 2025

High-Resolution Temperature Profiling In The Pi Chamber: Variability Of Statistical Properties Of Temperature Fluctuations, Robert Grosz, Kamal Kant Chandrakar, Raymond A. Shaw, Jesse C. Anderson, Will Cantrell, Szymon P. Malinowski

Michigan Tech Research Data

This study delves into the small-scale temperature structure inside the turbulent convection Pi Chamber under three temperature differences (10, 15, and 20 K) at Rayleigh number Ra ~ 10^9 and Prandtl number Pr = 0.7. We performed high-frequency measurements (2 kHz) with the UltraFast Thermometer (UFT) at selected points along the vertical axis. The miniaturized design of the sensor with a resistive platinum-coated tungsten wire, 2.5 μm thick and 3 mm long, mounted on a miniature wire probe, allowed for vertically undisturbed temperature
profiling through the chamber’s depth spanning from 8 cm above the bottom to 5 cm below the …


Notes On The Invariance Of Tautness Under Lie Sphere Transformations, Thomas E. Cecil Jun 2025

Notes On The Invariance Of Tautness Under Lie Sphere Transformations, Thomas E. Cecil

Mathematics and Computer Science Department Faculty Scholarship

An embedding ϕ : V → Sn of a compact, connected manifold V into the unit sphere Sn ⊂ Rn+1 is said to be taut, if every nondegenerate spherical distance function dp, p ∈ Sn, is a perfect Morse function on V , i.e., it has the minimum number of critical points on V required by the Morse inequalities. In these notes, we give an exposition of the proof of the invariance of tautness under Lie sphere transformations due to ´Alvarez Paiva. First we extend the definition of tautness of submanifolds of S …


2025 July 10 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Jun 2025

2025 July 10 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.


Multi-Level Differentiable Moving Particles With Partition Of Unity, Jinjin He Jun 2025

Multi-Level Differentiable Moving Particles With Partition Of Unity, Jinjin He

Dartmouth College Master’s Theses

Representing implicit geometry with intricate features has long been a challenge. Recent advances in Implicit Neural Representations (INRs) have shown great promise in applications such as 3D reconstruction, inverse rendering, and dynamic surface evolution. These methods leverage neural networks to model complex shapes continuously, offering advantages in resolution and flexibility over traditional discrete representations. Despite their success, efficiently handling fine geometric details and evolving dynamic scenes remains an open problem.

We introduce a differentiable moving particle representation based on the multi-level partition of unity (MPU) to model dynamic implicit geometries efficiently. Our approach employs two types of particles—feature particles and …


Human Gut Commensal Alistipes Timonensis Modulates The Host Lipidome And Delivers Anti-Inflammatory Outer Membrane Vesicles To Suppress Colitis In An Il10-Deficient Mouse Model, Ethan Older, Mary K. Mitchell, Andrew Campbell, Xiaoying Lian, Michael Madden, Yuzhen Wang, Lauren E. Van De Wal, Thelma Zaw, Brandon N. Vanderveen, Rodney Tatum, E. Angela Murphy, Yan-Hua Chen, Daping Fang, Melissa Ellermann, Jie Li Jun 2025

Human Gut Commensal Alistipes Timonensis Modulates The Host Lipidome And Delivers Anti-Inflammatory Outer Membrane Vesicles To Suppress Colitis In An Il10-Deficient Mouse Model, Ethan Older, Mary K. Mitchell, Andrew Campbell, Xiaoying Lian, Michael Madden, Yuzhen Wang, Lauren E. Van De Wal, Thelma Zaw, Brandon N. Vanderveen, Rodney Tatum, E. Angela Murphy, Yan-Hua Chen, Daping Fang, Melissa Ellermann, Jie Li

Faculty Publications

Correlative studies have linked human gut microbes to specific health conditions. Alistipes is one such microbial genus negatively linked to inflammatory bowel disease (IBD). However, the protective role of Alistipes in IBD is understudied, and the underlying molecular mechanisms remain unknown. In this study, colonization of Il10-deficient mice with Alistipes timonensis DSM 27924 delays colitis development. Colonization does not significantly alter the gut microbiome composition, but instead shifts the host plasma lipidome, increasing phosphatidic acids while decreasing triglycerides. Outer membrane vesicles (OMVs) derived from Alistipes are detected in the plasma of colonized mice, carrying potentially immunomodulatory metabolites into the …


Perchlorate Brine Formation From Frost At The Viking 2 Landing Site, Vincent F. Chevrier Jun 2025

Perchlorate Brine Formation From Frost At The Viking 2 Landing Site, Vincent F. Chevrier

Geosciences Faculty Publications and Presentations

The presence and stability of brines on Mars’s surface remain a significant mystery in planetary exploration. Previous mechanisms proposed for brine formation include melting of ice-salt mixtures and salt deliquescence. However, melting lacks a recharge mechanism, and deliquescence is impeded by Mars’s extreme surface aridity. This study explores an underexplored process: the role of seasonal frost in brine formation. Utilizing meteorological data from the Viking 2 lander—the only mission, with Phoenix, to observe in situ water frost formation—I demonstrate that brines can form over approximately 30 sols at the end of winter as frost sublimates. The stable brines exhibit a …


Structural Analysis Of The Aileu Metamorphic Complex And The Laclo Fault Of Timor Leste, Banda Arc-Continent Collision, Emma C. Morrison Jun 2025

Structural Analysis Of The Aileu Metamorphic Complex And The Laclo Fault Of Timor Leste, Banda Arc-Continent Collision, Emma C. Morrison

Theses and Dissertations

This study presents a structural analysis of the brittle and ductile features within the Aileu Metamorphic Complex of Timor Leste, located in the active Banda Arc–Australian continental collision zone. The deformation history of the complex is interpreted from the Permian–Jurassic deposition of sediments and basalts into intra-arc basins of Gondwana, through to the present- day collision of the Australian continental margin. This collision led to the development of the Wetar Suture and subsequent back-thrusting of the Aileu metamorphic rocks northward over the Banda forearc. Field evidence confirms that the Laclo Fault is currently active, with the most recent movement exhibiting …


Data Sonification: The Art Of Exploring Space Through Sound, Jessica Cotturone Jun 2025

Data Sonification: The Art Of Exploring Space Through Sound, Jessica Cotturone

Music: Student Scholarship & Creative Works

Data sonification is a cutting-edge, interdisciplinary field that involves the transformation of data into sound. As the amount of data collected in today’s world continues to rise exponentially, new collaborations between scientists, mathematicians, and musicians are exploring the potential applications of sonification. Turning data into sound can create new avenues for interpretation and can increase accessibility for visually-impaired populations. The sonic renderings produced by this practice exist on a spectrum from sound to music and vary in their levels of objectivity and expressivity. One of the major areas where data sonification is providing a new scientific and artistic perspective is …