Physical Sciences and Mathematics Commons^™

Exploring Dynamic Parameters And Tooth Structure Of Self-Propelled Borehole Repairing Drill Bits, Liu Yong, Li Yang, Wei Jianping, Yuan Yongwang, Dai Shuo, Li Linyu

Coal Geology & Exploration

Self-propelled borehole repairing drill bits provide an effective technique for repairing long boreholes that have failed. In order to further improve the borehole repair speed and gas drainage efficiency, based on the theory of jet recoil, the relationship between the jet recoil force and nozzle parameters was analyzed, and a theoretical model was established for rotational mechanics of self-propelled borehole repairing drill bits. Subsequently, the coal-breaking processes of drill bits with different tooth structures were simulated using LS-DYNA, the failure modes in coal mass broken by cutting teeth and the rules of variation in the volume of coal broken by …

Seagrass Conservation And Restoration To Mitigate Ocean Acidification And Climate Change, Tori Benson, Emi Wagner, Jaeger Reed

Celebrating Scholarship and Creativity Day (2018-)

For millennia, various seagrass species have been sequestering and anchoring aquatic carbon into oceanic sediment. The crucial role of seagrasses involves helping mitigate climate change, which emphasizes the urgent need to conserve, sustain, and manage them as part of global climate action efforts. Restoration and conservation studies have shown significant reversal of potential damaging effects, however human activity continues to set back efforts faster than they can proceed. Multiple studies have concluded that there has been a decline in seagrass meadows in previously dense areas; and due to this, surrounding pH levels have declined and rising atmospheric carbon poses a …

A Climatology Of North American Monsoon Precipitation Over Arizona From Mrms Data, Greta Graeler, Mark Sinclair, Curtis N. James

Publications

The North American Monsoon (NAM) is a seasonal shift in pressure and wind which accounts for over half of the southwest’s annual precipitation. North-central Arizona has variable terrain which influences the location and intensity of convective storms. Severe weather such as strong winds, lightning, and hail can cause loss of life, property, and fires. High spatial and temporal resolution data along with reanalysis data is used to identify convective cells and their motion for the 2015 to 2022 NAM seasons. The heaviest precipitation in north-central Arizona is found over the Bradshaw Mountains and is most active in July and August. …

Thermal Performance Investigation Of Thermoelectric Cooling System With Various Hot-Side Cooling Methods, Bowo Y. Prasetyo, Parisya P. Rosulindo, Fujen Wang

Makara Journal of Technology

Thermoelectric devices have been widely used in various applications, including cooling and power generation. The potential application of thermoelectric cooling systems has been studied. However, these systems still face challenges in achieving optimal performance compared with other cooling systems. Several factors, including the hot-side cooling method, influence the performance of thermoelectric systems. This study aimed to investigate the effects of different hot-side cooling methods on the thermoelectric performance and thermal behavior of thermoelectric cooling systems. The testing methods involved the combination of the thermoelectric module with five hot-side heat exchangers, including a square heatsink, a round heatsink, a two-pipe heat …

Machine Learning-Based Gps Jamming And Spoofing Detection, Alberto Squatrito

Doctoral Dissertations and Master's Theses

The increasing reliance on Global Positioning System (GPS) technology across various sectors has exposed vulnerabilities to malicious attacks, particularly GPS jamming and spoofing. This thesis presents an analysis into detection and mitigation strategies for enhancing the resilience of GPS receivers against jamming and spoofing attacks. The research entails the development of a simulated GPS signal and a receiver model to accurately decode and extract information from simulated GPS signals. The study implements the generation of jammed and spoofed signals to emulate potential threats faced by GPS receivers in practical settings. The core innovation lies in the integration of machine learning …

Designing For Deployable, Secure, And Generic Machine Learning Systems, Li-Yun Wang

Dissertations and Theses

Machine learning systems have catalyzed numerous image-centric applications owing to the significant achievements of machine learning algorithms and models. While these systems have showcased the efficacy of machine learning models, certain challenges persist, such as machine learning system design and security vulnerabilities inherent in deep neural networks. Moreover, the deployment of deep neural network models remains a significant hurdle. This dissertation introduces a multimedia prototyping framework tailored for visual analytical applications, improving the reusability of video analysis software tools with minimal performance overhead. Furthermore, we present novel image-processing techniques designed to bolster the robustness of deep neural networks and propose …

Are Students Actually Learning What You Think They Are? An Exploration Into The Educational Outcomes Of Course Based Undergraduate Research Labs, Matilda Dumaine, Jacob Saadoun

Biology Presentations

It is important to understand whether students are acquiring intended educational objectives. A course-based undergraduate research experience (CURE) lab seeks to blend the logistical ease and accessibility of college courses with the educational benefits of research experiences. By employing inquiry-based teaching methods, CURE labs enable students to collaborate in a group setting under the guidance of a faculty member, engaging in hands-on research. This project studies how educational outcomes of CURE labs can be measured. CURE labs may improve anything from technical lab skills, to scientific literacy, to persistence in science. These short-, middle-, and long-term goals may be measured …

Mapping Star Formation Histories In Nearby Galaxies To Source Lyman Continuum Photon Escape, Katie Kudla '24

Engineering & Physics Student Scholarship

Katie Kudla ’24, Physics major
Faculty Mentor: Dr. Joseph Ribaudo, Engineering and Physics

Skeletal 2-Groups And Category Theory, Nicholas Small '25, Alexander Stepanov '26, Haley Waiksnis '25

Mathematics & Computer Science Student Scholarship

Nicholas Small ’25, Mathematics and Computer Science major
Alexander Stepanov ’26, Mathematics and Studio Art major
Haley Waiksnis ’25, Mathematics major
Faculty Mentor: Dr. Laura Murray, Mathematics and Computer Science

Autonomous Remote Erosion Monitoring Using Computer Vision, Emily Gelchie '24, Gabriel Benz '25

Mathematics & Computer Science Student Scholarship

Emily Gelchie ’24, Computer Science major
Gabriel Benz ’25, Computer Science major
Faculty Mentor: Dr. Martin Helwig, Mathematics and Computer Science

The Heavy Metal Survey: Star Formation Constraints And Dynamical Masses Of 21 Massive Quiescent Galaxies At Z = 1.3-2.3, Mariska Kriek, Aliza G. Beverage, Sedona H. Price, Katherine A. Suess, Guillermo Barro, Rachel S. Bezanson, Charlie Conroy, Sam E. Cutler, Marijn Franx, Jamie Lin, Brian Lorenz, Yilun Ma, Ivelina G. Momcheva, Lamiya A. Mowla, Imad Pasha, Pieter Van Dokkum, Katherine E. Whitaker

Pacific Faculty Work

In this paper, we present the Heavy Metal Survey, which obtained ultradeep medium-resolution spectra of 21 massive quiescent galaxies at 1.3 < z < 2.3 with Keck/LRIS and MOSFIRE. With integration times of up to 16 hr per band per galaxy, we observe numerous Balmer and metal absorption lines in atmospheric windows. We successfully derive spectroscopic redshifts for all 21 galaxies, and for 19 we also measure stellar velocity dispersions (σ v ), ages, and elemental abundances, as detailed in an accompanying paper. Except for one emission-line active galactic nucleus, all galaxies are confirmed as quiescent through their faint or absent Hα emission and evolved stellar spectra. For most galaxies exhibiting faint Hα, elevated [N ii]/Hα suggests a non-star-forming origin. We calculate dynamical masses (M dyn) by combining σ v with structural parameters obtained from the Hubble Space Telescope COSMOS(-DASH) survey and compare them with stellar masses (M *) derived using spectrophotometric modeling, considering various assumptions. For a fixed initial mass function (IMF), we observe a strong correlation between M dyn/M * and σ v . This correlation may suggest that a varying IMF, with high-σ v galaxies being more bottom heavy, was already in place at z ∼ 2. When implementing the σ v -dependent IMF found in the cores of nearby early-type galaxies and correcting for biases in our stellar mass and size measurements, we find a low scatter in M dyn/M * of 0.14 dex. However, these assumptions result in unphysical stellar masses, which exceed the dynamical masses by 34%. This tension suggests that distant quiescent galaxies do not simply grow inside-out into today’s massive early-type galaxies and the evolution is more complicated.

Media Portrayals Of Mathematics And Mathematicians: An Annotated Bibliography Of Published Journal Articles, Sarah O'Connor '26

Education Student Scholarship

Sarah O'Connor ’26, Mathematics major
Faculty Mentor: Dr. Kevin O’Conner, Secondary Education and Dr. Olga Limnios, English

Hello, World., Elliot Cetinski, Evan Chartock, Olivia Cross, Kiran Drew, Kaya Eller, Ben Little, Joey Nolan, Spencer Toth, Sophie Wahl-Taylor, Sadie Walker, Destiny Young, Annie Zulick

Theater and Dance Presentations

This project works to theatrically represent the current state of Artificial Intelligence (AI), as well as its benefits and drawbacks, in the style of the Living Newspaper. Originating from a Great Depression-era job program, the Living Newspaper sought to take headlines and present them onstage for a poignant and contemporary social critique. This work does the same, melding different angles of the AI debate into a single production that emphasizes the rapidly progressing state of modern AI technology and the need for humans to consider the impacts such technologies will have. Furthermore, it asks the audience to question their position …

A 2-D Numerical Model For Evaluating Daylight Penetration In Short Tunnels For Enhanced Driver Safety, Joachim James

Master's Theses

It is commonly assumed that daylight will adequately penetrate short tunnels, leading to the misconception that artificial lighting is unnecessary during the daytime. Past studies revealed higher frequency of crashes in short tunnels and despite that there is lack of national guidelines warranting artificial lighting for short tunnels. Inadequately lit tunnels pose safety risks, while excessive lighting can be costly. Hence, it becomes crucial to investigate the extent of daylight penetration in short tunnels and identify disappearance zones within these tunnels. This research can help determine the necessity of artificial lighting, and which specific areas of the tunnel require lighting. …

Avatars Runnin' On Dunkin, Keelin Robbins '26

Mathematics & Computer Science Student Scholarship

Keelin Robbins ’26, Computer Science major, Finance minor
Faculty Mentor: Dr. Martin Helwig, Mathematics and Computer Science

Towards A Practical Method For Monitoring Kinetic Processes In Polymers With Low-Frequency Raman Spectroscopy, Robert Vito Chimenti

Theses and Dissertations

Unlike liquids and crystalline solids, glassy materials exist in a constant state of structural nonequilibrium. Therefore, a comprehensive understanding of material kinetics is critical for understanding the structure-property-processing relationships of polymeric materials. Amorphous materials universally display low-frequency Raman features related to the phonon density of states resulting in a broad disorder band for Raman shifts below 100 cm-1, which is related to the conformational entropy and the modulus. This disorder band is dominated by the Boson peak, a feature due to phonon scattering because of disorder and can be related to the transverse sound velocity of the material, and a …

Silver Bow Creek Conservation Area (Sbcca) 60% Technical Specifications Submittal, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Unreclaimed (Ur) Sites Final Ur Field Sampling Plan (Fsp) Submittal #4 – Request For Change (Rfc) -Ur Fsp #4-001., Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Unreclaimed (Ur) Sites Final Ur Field Sampling Plan (Fsp) Submittal #4 – Request For Change (Rfc) -Ur Fsp #4-001., Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Development Of Bifunctional Electrocatalyst For The Electrically Rechargeable Zinc Air Batteries, Thiruvenkatam S

Theses and Dissertations

The spontaneous reaction between zinc and oxygen in an alkaline medium is exploited in non-rechargeable aqueous zinc-air batteries (ZABs) to generate useful electricity. The primary ZAB has a rich history as it was used in tramways, railway signalling and it is being used in hearing aids, pacemakers, etc. The success of primary ZABs led to the development of two types of rechargeable ZAB, namely, mechanically rechargeable ZAB (mrZAB) and electrically rechargeable ZAB (erZAB). In mrZABs, the exhausted anode and electrolyte are replaced periodically. Whereas the chemistry of primary ZAB is reversed using suitable electrocatalysts in erZABs. Electrocatalysts used in erZABs …

Microplastic Quantification On The Effect Of Endoparasite Communities In Florida Seabirds, Sarah N. Prieto

All HCAS Student Capstones, Theses, and Dissertations

Microplastics are being studied in a variety of different projects to better understand their impact and threat to wildlife species. Although there is an understanding that microplastics are affecting our wildlife, there are still questions about how coastal seabirds come to ingest them and how the ingestion is altering critical biological processes, such as that for endoparasite communities. This project aims to determine a better understanding of two main objectives: assessment of the presence of secondary ingestion of microplastics in coastal seabirds due to the fish species they prey on and relationship between microplastics and endoparasite communities' structure and state …

Combining Empirical And Physics-Based Models For Solar Wind Prediction, Rob Johnson, Soukaina Filali Boubrahimi, Omar Bahri, Shah Muhammad Hamdi

Computer Science Faculty and Staff Publications

Solar wind modeling is classified into two main types: empirical models and physics-based models, each designed to forecast solar wind properties in various regions of the heliosphere. Empirical models, which are cost-effective, have demonstrated significant accuracy in predicting solar wind at the L1 Lagrange point. On the other hand, physics-based models rely on magnetohydrodynamics (MHD) principles and demand more computational resources. In this research paper, we build upon our recent novel approach that merges empirical and physics-based models. Our recent proposal involves the creation of a new physics-informed neural network that leverages time series data from solar wind predictors to …

Chemical And Physiological Interactions Between E-Liquid Constituents: Cause For Concern?, Robert M. Strongin, Eva Sharma, Hanno C. Erythropel, Nada O F Kassem, Alexandra Noël, D H. Peyton, Irfan Rahman

Chemistry Faculty Publications and Presentations

Studies of Electronic Nicotine Delivery Systems (ENDS) toxicity have largely focused on individual components such as flavour additives, base e-liquid ingredients (propylene glycol, glycerol), device characteristics (eg, model, components, wattage), use behaviour, etc. However, vaping involves inhalation of chemical mixtures and interactions between compounds can occur that can lead to different toxicities than toxicity of the individual components. Methods based on the additive toxicity of individual chemical components to estimate the health risks of complex mixtures can result in the overestimation or underestimation of exposure risks, since interactions between components are under-investigated. In the case of ENDS, the potential of …

Investigation Of Surface Chemistry From Electron Irradiation Of Synthetic Schreibersite, Tyler Davis

Master's Theses

While phosphorus is one of the key elements for life on Earth, it has relatively low abundance in extraterrestrial environments, making it a target for astronomers and astrobiologists interested in the possibility of life beyond our planet. Schreibersite (Fe,Ni)₃P is one of the first P-containing minerals to condense during planetary cooling and one of the primary P-containing minerals in iron and stony-iron meteorites. Therefore, it is a likely P-bearing mineral in cometary cores and dust grains within the interstellar medium and circumstellar envelopes. Experiments in this project were performed with the aim of observing the formation of small …

Vt-Nmr Analysis Of Rotation-Inversion Of N-(4-Hydroxybutyl)-N-(2,2,2-Trifluoroethyl) Tert-Butyl Carbamate: Utilizing The −Ch2cf3 Appendage As A Reporter On E/Z-Isomerization, Brian Jameson, Rainer Glaser

Chemistry Faculty Research & Creative Works

The rotational barrier about the CN carbamate bond of N-(4-hydroxybutyl)-N-(2,2,2-trifluoroethyl) tert-butyl carbamate 1 was determined by variable temperature (VT) 13C and 19F NMR spectroscopy. The −CH2CF3 appendage reports on rotational isomerism and allows for the observation of separate signals for the E- and Z-ensembles at low temperature. The activation barrier for E/Z-isomerization was quantified using Eyring-Polanyi theory which requires the measurements of the maximum difference in Larmor frequency Δνmax and the convergence temperature Tc. Both Δνmax and Tc were interpolated by analyzing sigmoidal functions fitted to data describing signal separation and the quality of the superposition of the E- and …

An Evaluation Of Tape For The Collection Of Ignitable Liquid Residues From Non-Porous And Porous Surfaces, Laird Vincent Jarrett

Online Theses and Dissertations

Ignitable liquids are flammable mixtures used to accelerate a fire. ILs are composed of a broad range of hydrocarbons and include commonly encountered materials such as gasoline, diesel, and kerosene. In the event of a suspected arson, ILR may be found within the pores of materials at the crime scene such as concrete. Traditionally, the whole material is collected and packaged into air-tight containers to prevent evaporation and allow transportation back to the lab. However, this may require the use of heavy machinery, such as a jack hammer, which takes a lot of manpower to operate and may increase the …

Virtual Reality As An Adjunct To Behavior Therapy: A Systematic Literature Review, Alya Alharrasi

Honors Theses

The World Health Organization (WHO) projects that by 2030, mental disorders will become the primary source of global disease burden [1]. Anxiety-related disorders, including specific phobias, post-traumatic stress disorder (PTSD), and various forms of general or specific anxiety, are the most rapidly growing mental health disorders worldwide [2]. In the United States (US), over 1 in 10 American youths are experiencing depression, resulting in a severe impact on their personal, academic, or professional encounters and social engagements [3]. Similarly, anxiety disorders affect up to one-third of the US population during their lifetime [4].

Due to the growth of mental health …

Amending The Native American Graves Protection And Repatriation Act: Human Rights, Sovereignty, And Cultural Sustainability, Maddie Mulcahey

Sustainability Research & Practice Seminar Presentations

Madeline Mulcahey, Anthropology '24 presents "Amending the Native American Graves Protection and Repatriation Act: Human Rights, Sovereignty, and Cultural Sustainability"

Predicting Ffar4 Agonists Using Structure-Based Machine Learning Approach Based On Molecular Fingerprints, Zaid Anis Sherwani, Syeda Sumayya Tariq, Mamona Mushtaq, Ali Raza Siddiqui, Mohammad Nur-E-Alam, Aftab Ahmed, Zaheer Ul-Haq

Pharmacy Faculty Articles and Research

Free Fatty Acid Receptor 4 (FFAR4), a G-protein-coupled receptor, is responsible for triggering intracellular signaling pathways that regulate various physiological processes. FFAR4 agonists are associated with enhancing insulin release and mitigating the atherogenic, obesogenic, pro-carcinogenic, and pro-diabetogenic effects, normally associated with the free fatty acids bound to FFAR4. In this research, molecular structure-based machine-learning techniques were employed to evaluate compounds as potential agonists for FFAR4. Molecular structures were encoded into bit arrays, serving as molecular fingerprints, which were subsequently analyzed using the Bayesian network algorithm to identify patterns for screening the data. The shortlisted hits obtained via machine learning protocols …

Models Of Low Mass Stars As Physical Labratories, Emily M. Boudreaux

Dartmouth College Ph.D Dissertations

Low mass stars account for approximately 70 percent of the stellar populations (Conroy & Van Dokkum, 2012); yet, due to their small sizes and cool temperatures they account for only a small fraction of the galaxies luminosity function (Laughlin et al., 1997). Moreover, due to the lack of laboratory conditions available to astronomy and astrophysics low mass stars can provide a rare controlled environment for calibrations of numerical models. Consequently, across multiple domains there has been significant interest in these key astronomical objects. In this thesis I present three projects which have further revealed properties of low mass stars and …