Physical Sciences and Mathematics Commons^™

Rabbit Control: Fumigation, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity factsheets

Fumigation for rabbit control involves the introduction of poisonous gas into a warren. It is one of the best control methods to use where low numbers of rabbits live in a few widely scattered warrens. The threat to non-target animals is minimal. This factsheet should be read in conjunction with registered product labels and directions for use. Check the Department of Health, Western Australia website (health.wa.gov.au) for public health requirements for the use of phosphine fumigation.

Fumigation may be used in areas where access is limited, such as fence lines, around trees, and on riverbanks, but it may be difficult …

The Radiology Report Indication Field: Exploring Predictive Possibilities With Natural Language Processing, Anthony F. Peressini

Master's Theses (2009 -)

Radiological exams are initiated by an order that includes a “reason for the exam” (Indication) text. The Indication field is data that is known before the exam and has predictive possibilities for whether there will be significant findings. Such predictive information has application in value-based payment modeling, differential billing, study prioritizing, etc. To date, however, no sustained work has been done on determining the extent of the information present in the Indication field and and how readily it can be brought bear in radiology data intelligence contexts. This study begins such work using the MIMIC CXR JPG dataset. It extracts …

Addressing The Teacher Shortage: A Data-Driven Exploration Of Computer Science Teacher Capacity In Wisconsin High Schools, Sujeeth Goud Ramagoni

Dissertations (1934 -)

The rapid evolution of technology and its integration across virtually every field has made computer science (CS) education a crucial component of modern curricula. Despite the increasing demand for CS skills and being the top source of new wage creation in the U.S., CS education remains undervalued and underrepresented in high school systems. This disparity is particularly evident in Wisconsin (WI), where the lack of certified CS teachers creates significant barriers to student access and equitable participation in CS courses. Although WI implemented a CS teacher certification requirement over 30 years ago and was among the earlier states to adopt …

Stability Of The S-N Bond In S-Nitrosothiols: Computational And Experimental Approach, Rustam Sabitov

Dissertations (1934 -)

S-Nitrosothiols (RSNOs) are chemical compounds capable to transport nitric oxide (NO) and show promise in the treatment of cardiovascular diseases. RSNOs occur naturally in-vivo, and others have been synthesized in-vitro as potential drug candidates for NO transport and release. However, RSNOs are inherently unstable due to their weak S–N bond (D0(S-N)=25–30 kcal/mol), so developing a deeper understanding of the factors influencing the RSNOs stability is crucial. In Chapter 2, we investigated the substituent effect on the -SNO group properties. Substituting R– in RSNOs with more electro-donating character can stabilize the –SNO group according to the Natural Resonance Theory (NRT). But …

Visual Parsing Algorithms For An Equitable Augmented Reality Learning System, Pushpita Saha '25, Matthew L. Furber Mfa, Paul W. Bible

Annual Student Research Poster Session

Giving instructions for a character to navigate around a scene provides a simple analog for the planning needed in computer programming. While many children’s navigation games exist, most require the child to use a combination of input devices such as keyboard, mouse, and controllers for play. Children under the age of five may struggle to use a mouse, but they can easily construct the plans needed for such a game. This research explores layout and graph connectivity algorithms to connect tactile game pieces for a navigation game. A web camera identifies the position of action cards and numerical modifiers (card: …

Optimizing Transport Predictive Modeling With Simulation-Based Statistical Inference, Quyen Tran '27, Mamunur Rashid

Annual Student Research Poster Session

Simulation-based statistical inference (SBI) leverages computer simulations to help scientists understand and analyze complex data. This project explores how SBI techniques can be used to analyze transportation data. We use modern computational methods, including machine learning models, to improve the accuracy of predictions and decision-making in transportation planning. Our study focuses on applying two SBI methods, Approximate Bayesian Computation - Markov Chain Monte Carlo and Synthetic Likelihood, to create synthetic data for training machine learning models. These models show the potential of SBI to handle uncertain data. It also highlights the practical benefits of SBI in making predictions and decisions …

Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – First Quarter 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Second Quarter 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Implications Of Persistent Micro-Bioplastics On Biogeochemical Properties Across Soil Types, Casandra R. Leach

Master's Theses

Terrestrial microplastics are increasing in abundance and are an emerging contaminant of concern, particularly in agriculture ecosystems where plastic use and subsequent soil contamination are prevalent. Plastic film mulches make up a significant portion of the plasticulture industry and are directly linked to soil microplastic pollution where negative effects to soil biotic and abiotic functions have been observed. In response to this issue, biodegradable film mulches have been promoted as a sustainable alternative to conventional polyethylene-based mulches. These biodegradable mulches, composed of various bioplastics, are designed to be tilled back into the soil where they are expected to decompose. However, …

Detection Of Seismic Microwave Radiation Anomalies In Snow-Covered Mountainous Terrain: Insights From Two Recent Earthquakes In The Pamir–Tien Shan Region, Feng Jing, Meng Jiang, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

When earthquakes occur in high-mountain areas during the winter season, the epicentral region is often covered by a snow layer, which can be either thin or thick. The presence of snow and/or ice layers affects the detection of thermal anomalies associated with seismic signals. Taking into account the penetration capabilities of microwaves, microwave brightness temperature data were analyzed by using the index of microwave radiation anomaly to study the response of the epicentral region associated with two recent strong earthquakes in Central Asia, which occurred in snow-covered mountainous areas. Increased microwave radiation was observed within one week prior to the …

Search For Eccentric Black Hole Coalescences During The Third Observing Run Of Ligo And Virgo, A. G. Abac, R. Abbott, H. Abe, Teviet Creighton, Mario C. Diaz, Francisco Llamas Villarreal, Soma Mukherjee, Gaukhar Nurbek, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

Despite the growing number of binary black hole coalescences confidently observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include the effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that have already been identified with searches focusing on …

Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine

Faculty Publications

The authors use historical information obtained from the Cost Assessment Data Enterprise to estimate recurring production unit cost for DoD avionics via cost estimating relationships (CERs). The specific modeled responses include mean unit cost, median unit cost, and the 100th production unit cost (T100) utilizing learning curve theory. For T100, the authors adopt both a multiplicative and an additive error for CER comparison. Recommended CERs consist of the mean unit cost and the T100 utilizing a multiplicative error. Moreover, results reveal that weight has a significant effect on cost as well as a potential underaccounting of real price change or …

Neutrosophic Approach To Water Quality Assessment: A Case Study Of Gomati River, The Largest River In Tripura, India, Ajoy Kanti Das, Nandini Gupta, Carlos Granados, Rakhal Das, Suman Das

Neutrosophic Systems with Applications

This study addresses the complexity of assessing river water quality, a multifaceted process influenced by numerous water quality parameters (WQPs) characterized by inherent uncertainties and diverse judgment information from decision-makers. These uncertainties and diverse judgment information can be effectively represented and simulated using Neutrosophic sets. In this study, we propose an effective water pollution rating system, the Neutrosophic water quality index (NWQI), to derive a water pollution score (NWQI-score) for rating water pollution levels. We demonstrate the application of our methodology through an assessment of water quality indices for rating pollution in the Gomati River, the largest river in Tripura, …

Unveiling Similarities In The Code Of Life: A Detailed Exploration Of Dna Sequence Matching Algorithm, Mahmoud Y. Shams, Romany M. Farag, Dalia A. Aldawody, Huda E. Khalid, Ahmed K. Essa, Hazem M. El-Bakry, A. A. Salama

Neutrosophic Systems with Applications

Identifying similar DNA sequences is crucial in various biological research endeavors. This paper delves into the intricate workings of a specific algorithm designed for this purpose. We provide a systematic explanation, exploring how the algorithm handles user input, reads stored DNA sequences, utilizes the Word2Vec model for vector representation, and calculates sequence similarity using diverse metrics like Cosine Similarity and Neutrosophic Distance. Additionally, the paper explores the incorporation of neutrosophic values to account for uncertainty in the comparisons. Finally, we discuss the extraction of results, including matched sequences, similarity scores, and accuracy measures. This in-depth exploration provides a clear understanding …

A Study On The Polarity Of Generalized Neutrosophic Ideals In Bck-Algebra, Bavanari Satyanarayana, Shake Baji

Neutrosophic Systems with Applications

In this study, we apply k-polar generalized neutrosophic logic to the ideal of BCK-algebra and consequently introduce the notion of a k-polar generalized neutrosophic ideal in BCK-algebra with an example. We provide conditions for a k-polar generalized neutrosophic set to be a k-polar generalized neutrosophic ideal. We prove that every k-polar generalized neutrosophic ideal is a k-polar generalized neutrosophic subalgebra, but the converse is not true, which can be illustrated with an example. Furthermore, we prove that a k-polar generalized neutrosophic set is a k-polar generalized neutrosophic ideal if and only if its corresponding cut sets are ideals of the …

An Approach To Multi-Attribute Decision-Making Based On Single-Valued Neutrosophic Hesitant Fuzzy Aczel-Alsina Aggregation Operator, Raiha Imran, Kifayat Ullah, Zeeshan Ali, Maria Akram

Neutrosophic Systems with Applications

A single-valued Neutrosophic hesitant fuzzy set (SVNHFS) is a combination of a single-valued neutrosophic set (SVNS) and hesitant fuzzy set (HFS) that has been developed to address insufficient, unreliable, and vague environments in which each element has several possible options determined by the truthiness, indeterminacy and falsity value. By considering this, in this paper, we have proposed the Aczel-Alsina aggregation operator (AAAO) for SVNHFS, which is more flexible t-norm and t-conorm than the other and due to the flexible nature of parameters to solve Multi-Attribute decision making (MADM) problems. Further, the score function, accuracy function, and certainty function of SVNHFS …

Evaluation Of Renewable Energy Sources For A Sustainable Future: A Multi-Criteria Decision-Making Approach, Mai Mohamed, Asmaa Elsayed

Neutrosophic Systems with Applications

The urgent global challenges of climate change, energy security, and environmental degradation highlight the need for sustainable energy solutions. Renewable energy sources (RES) present a viable pathway towards sustainability by mitigating greenhouse gas emissions, reducing reliance on fossil fuels, and fostering economic resilience. Purpose: The purpose of this paper is to propose an advanced Multi-Criteria Decision-Making (MCDM) approach to evaluate various RES by integrating environmental, economic, technological, social acceptance, and resource availability criteria, to identify the most suitable RES for sustainable energy solutions. Methodology: The study employs a hybrid method combining Type-2 Neutrosophic Numbers (T2NN) with LOPCOW (Logarithmic Percentage Change …

Green Defense: Evaluating Potentials And Limitations In Transitioning Military Vehicles To Clean Energy, Aurora M. V. Bellingeri, Danielle M. Drumm, Zoe S. Koutsokostas

Student Publications

Army operations rely on fuel-intensive vehicles and aircraft, which contribute substantially to global emissions and the looming threat of global warming. This study evaluates the potential of transitioning five key U.S. Army vehicles, the M1301 ISV, HMMWV M1165, JLTV M1280, LMTV M1078, and M3A3 Bradley, from traditional diesel and JP8 powertrains to electric vehicle (EV) and hydrogen fuel cell vehicle (FCV) technologies. Vehicle specifications including engine power, fuel efficiency, weight, and payload were gathered for each vehicle and compared. Efficiency was estimated for EV and FCV powertrains using linear regressions with data from the AFLEET Online tool, which provided national …

How Did The Deer Cross The Road? Reducing Habitat Fragmentation And Wildlife-Vehicle Collision Deaths Through Connective Conservation In The South Mountain Region, Pennsylvania, Jack B. Joiner, Emily R. Kreider, Thomas H. Manning, Madison E. Rowell

Student Publications

While some deleterious effects of road networks and the vehicles that travel them– such as pollution, fossil fuel extraction, and carbon emissions– are widely recognized, their significant role in causing an estimated one million wildlife deaths per day (Shilling et al., 2021) and contributing to habitat loss and degradation, the leading causes of global biodiversity decline (Pinto et al., 2023), has garnered less attention. Connective conservation policies, such as designating wildlife corridors and constructing wildlife crossings on roadways, have been proposed as a means of mitigating these repercussions. This study proposes a connective conservation plan addressing the logistics of a …

Lessons Learned On The Feasibility Of Coastal Wetland Restoration For Blue Carbon And Co-Benefits In Australia, Valerie Hagger, Phoebe Stewart-Sinclair, Renee Anne Rossini, Maria Fernanda Adame, William Glamore, Paul Lavery, Nathan J. Waltham, Catherine E. Lovelock

Research outputs 2022 to 2026

Diverse types of saline coastal wetlands contribute significantly to global biodiversity, carbon stocks, and ecosystem functions. Opportunities to incentivise coastal wetland restoration from carbon markets is growing across the world. However, little is known of the economic feasibility of blue carbon restoration across different regions, or the quantities of ecological and social co-benefits that accompany restoration. We explored the opportunities for tidal restoration of coastal wetlands for blue carbon projects in three regions across Australia. We identified biophysically suitable potential restoration sites for mangroves, saltmarshes and supratidal forests, estimated their carbon abatement over 25 years, and undertook a cost-benefit analysis …

Regulating Shipping Of Carbon Dioxide For Sequestration, Carolina Arlota, Michael B. Gerrard

Faculty Scholarship

A number of facilities intended for permanent sequestration of carbon dioxide are being developed in the United States. Several will be located on or near the coast of the Gulf of Mexico, making them easily accessible to ships. Meanwhile, in Europe there is substantial interest in capturing carbon dioxide from industrial operations, but currently inadequate sequestration facilities, and growing interest in shipping carbon dioxide for sequestration in the United States. This Article reviews the main U.S. federal laws applicable to transportation and geologic storage of carbon dioxide, including laws enacted to implement relevant international treaties. The Article also contextualizes its …

Catalytic And Post-Translational Maturation Roles Of A Conserved Active Site Serine Residue In Nitrile Hydratases, Callie Miller, Kylie Knutson, Dali Liu, Brian Bennett, Richard C. Holz

Physics Faculty Research and Publications

A highly conserved second-sphere active site αSer residue in nitrile hydratase (NHase), that forms a hydrogen bond with the axial metal-bound water molecule, was mutated to Ala, Asp, and Thr, in the Co-type NHase from Pseudonocardia thermophila JCM 3095 (PtNHase) and to Ala and Thr in the Fe-type NHase from Rhodococcus equi TG328–2 (ReNHase). All five mutants were successfully purified; metal analysis via ICP-AES indicated that all three Co-type PtNHase mutants were in their apo-form while the Fe-type αSer117Ala and αSer117Thr mutants contained 85 and 50 % of their active site Fe(III) ions, respectively. The …

Polyphenol-Induced Protein Structural Modifications In Sorghum On Pasting Properties, Annegret Jannasch, Ya-Jane Wang, Sun-Ok Lee, Rohana Liyanage, Zeina Alraawi, Suresh Kumar Thallapuranam, William L. Rooney

Chemistry & Biochemistry Faculty Publications and Presentations

Black sorghum contains a high amount of anthocyanins and proanthocyanidins, whereas white sorghum predominantly comprises phenolic acids. Polyphenols covalently and non-covalently interact with protein, whereas the structure of both compounds affects these interactions. This study investigated the interactions between phenolic acids, anthocyanins, proanthocyanidins and prolamin, which is the major protein fraction in sorghum, and their effect on the pasting properties of white and black, whole and milled sorghum using different chemical agents. Urea increased the pasting viscosity of black sorghum, but not that of white sorghum, indicating that hydrogen bonds and hydrophobic interactions between prolamin and anthocyanins and proanthocyanidins play …

Selective Hydrolysis Of Heterooligosaccharides By Poly(Acrylate) Gel Catalysts, Susanna Striegler

Chemistry & Biochemistry Faculty Publications and Presentations

Natural glycoside hydrolases are distinguished by their ability to hydrolyze glycosidic bonds with high efficiency and selectivity. This feature is achieved through specific interactions in the active site during catalytic turnover and is not just facilitated by two catalytically active amino acids. Intrigued by these features, a biomimetic α-galactosidase mimic was developed using an empirical catalyst design. Starting with a library of 704 gels of which 250 have a unique composition synthesized from TEGDMA cross-linker and 7 selected monomers, 238 monomodal gels are evaluated for their ability to hydrolyze the 1→6 α-glycosidic bond in the disaccharide melibiose. Among those, 13 …

Challenges Of Using More Precise Temporal And Spatial Resolution Of Remote Sensing Data For Surface Water Quality Monitoring, Ivan Rykin

Dartmouth College Master’s Theses

Monitoring river suspended sediment concentration (SSC) is critical for environmental challenges such as understanding the fate of thawed permafrost sediment and its impact on global carbon cycling. However, traditional SSC monitoring using Landsat imagery is limited by spatial and temporal constraints, particularly for narrow rivers in cloudy and/or snowy regions.

This study investigates the use of higher spatial (3 m) and temporal (daily) resolution satellite imagery from the PlanetScope constellation to estimate SSC in remote rivers such as those in the Arctic. I compare the performance of PlanetScope’s spectral resolution (4 and 8 bands) with Landsat 7. Merging data from …

Proterozoic To Paleozoic Bedrock Geology Of The Islesboro Block, Penobscot Bay Maine, Usa, Luis Angel Torres

Dartmouth College Master’s Theses

The Islesboro block is a fault-bounded crustal fragment isolated between the St. Croix and Ellsworth terranes in Penobscot Bay, Maine. We present the results of new geological mapping of the Islesboro 7.5´ quadrangle, which is coupled with new laser ablation-inductively coupled plasma mass spectrometry (LA-ICPMS) U-Pb zircon data to support revised unit subdivisions and provide an assessment of the age and provenance of the Islesboro block. Based on these data, the Islesboro block consists of: (1) the Paleoproterozoic–Mesoproterozoic(?) Seven Hundred Acre Island Formation, composed of marble, quartzite, and garnet-mica schist, and intruded by highly retrogressed Neoproterozoic (ca. 670–655 Ma) amphibolite …

An Efficient Fourier Caching Algorithm For Walk On Spheres, Zihong Zhou

Dartmouth College Master’s Theses

Walk on Spheres (WoS) is a grid-free Monte Carlo method for solving elliptic partial differential equations (PDEs).
Rather than discretizing the domain, WoS leverages the mean-value principle to obtain Monte Carlo estimates by recursively averaging the solution over the largest contained sphere, terminating upon reaching the boundary.
Unfortunately, WoS requires many independent estimates to achieve noise-free results.

We propose an acceleration technique for WoS, inspired by irradiance caching methods, that computes the solution at a sparse set of locations, and extrapolates these cached values to local neighborhoods. A key insight is that WoS can be extended to compute not only …

Stable Isotope Analysis Of Antipatharian Diets From The Northwestern Gulf Of Mexico, Keir J. Macartney, Victoria Salinas, Zachary Rivera, David Hicks

School of Earth, Environmental, & Marine Sciences Faculty Publications

Antipatharians, or black corals, form a key component of the benthic fauna found throughout the Gulf of Mexico (GOM). In the northwestern GOM, they are a common member of the communities found on the natural relic coral—algal banks known as the South Texas Banks as well as on artificial reefs. They are known to provide important habitat for many ecologically and economically important species in the area but are relatively understudied. Here we present a study on their trophic ecology using stable isotope analysis of carbon and nitrogen from 2 species, Antipathes atlantica and Stichopathes luetkeni from a mesophotic artificial …

Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte

Faculty Publications

Advances in artificial intelligence (AI) in the medical sector necessitate the development of AI literacy among future physicians. This article explores the pioneering efforts of the AI in Medicine Association (AIM) at Brigham Young University, which offers a framework for undergraduate pre-medical students to gain hands-on experience, receive principled education, explore ethical considerations, and learn appraisal of AI models. By supplementing formal, university-organized pre-medical education with a student-led, faculty-supported introduction to AI through an extracurricular academic association, AIM alleviates apprehensions regarding AI in medicine early and empowers students preparing for medical school to navigate the evolving landscape of AI in …

The Promise And Perils Of Smart (City) Bots As Educational Tools, Thomas Menkhoff, Siew Ning Kan, Shaohui Foong

Research Collection Lee Kong Chian School Of Business

Written from an educator’s perspective, the paper aims to examine the increasing use of chatbot technology capable of answering user queries in various fields such as commerce, public service delivery, urban areas, higher education etc. by simulating human conversation through text messages or voice commands. We analyse why smart bots have become popular technologies in the context smart cities; shed light on different types of bots (chatbots, large language models such as ChatGPT, flying bots); and explain how we use bots as teaching tool in an introductory AI for business course. A key argument putting forward is that smart bots …