Physical Sciences and Mathematics Commons^™

Serious Games And Mixed Reality Applications For Healthcare, Gianfranco Digiuseppe, Marco Gesi, Sara Condino, Rosanna Maria Viglialoro, Marina Carbone

Computer Science Publications

No abstract provided.

Exploration Of Triangles In Euclidean, Spherical, And Hyperbolic Spaces For The High School Geometry Classroom, John Rowell

Masters Essays

No abstract provided.

Dynamic Task Allocation And Understanding Of Situation Awareness Under Different Levels Of Autonomy In Closed-Hatch Military Vehicles Using Virtual Reality, Jessie E. Cossitt

Link Foundation Modeling, Simulation and Training Fellowship Reports

The current state of the art in autonomous vehicles is partial autonomy, and to optimize the use of these vehicles, it is essential to understand the interactions between the vehicles and their operators. Partially autonomous vehicles require operators to perform parts of the driving task and to be alert and ready to take over full control of the vehicle at any point. Due to the requirements on the human operator, it is necessary to know how the operators' abilities are impacted by the amount of autonomy present in the system. There are known effects of autonomous systems on performance, cognitive …

Drivers And Challenges Of Wearable Devices Use: Content Analysis Of Online Users Reviews, Ahmed El Noshokaty, Omar El-Gayar, Abdullah Wahbeh, Mohammad A. Al-Ramahi, Tareq Nasralah

Computer Information Systems Faculty Publications

With recent advancements in wearable device technologies, there is still a need to investigate drivers and challenges associated with the use of these devices. Following a content analysis approach, this study leverages recent “found large-scale” data to better understand the drivers and challenges that affect the adoption and use of such devices. Analyzing a total of 16,717 online reviews about wearable devices, the findings emphasized the importance of various functionalities (perceived usefulness), appeal, and a number of device design features as the most prominent drivers, while concerns about quality, credibility, and perceived value as potential challenges to wearable adoption and …

Σ-Ary, Minnesota State University Moorhead, Mathematics Department

Math Department Newsletters

No abstract provided.

Prevalence Of Caffeine Dependency And Daytime Fatigue Amongst Undergraduate Students, Benjamin P. Brown, Josie Nicholson, Willa Stauffer, Elise M. Crause, Katie Young

Belmont University Research Symposium (BURS)

Caffeine is considered a legal drug with a main function of acting as a stimulant. The recommended daily dose of caffeine is up to 400 mg, however, most college students consume on average 800 mg per day (Mcllavian et al., 2013). Amongst American college students, caffeine is considered one of five most commonly consumed drugs, being compared with alcohol, marijuana, opioids, and sedatives (American Addictions Center, 2019). Within this population, there is a lack of knowledge regarding the adverse effects of caffeine and its potential impact of alertness versus sleepiness. Existing literature on this topic has shown that caffeine can …

Reductions Of 2 -Dimensional Semistable Representations With Large L -Invariant, John Bergdall, Brandon Levin, Tong Liu

Mathematics Faculty Research and Scholarship

We determine reductions of 2 -dimensional, irreducible, semistable, and non-crystalline representations of Gal(ℚ𝑝/ℚ𝑝) with Hodge–Tate weights 0<𝑘−1 and with L -invariant whose p-adic norm is sufficiently large, depending on k. Our main result provides the first systematic examples of the reductions for 𝑘≥𝑝 .

The Effects Of Stem And Non-Stem Mathematics Corequisite Courses On Student Success At Public Institutions In West Virginia, Vanessa S. Keadle

Theses, Dissertations and Capstones

This study explored the differences in student success outcomes between students enrolled in non-STEM and STEM corequisite mathematics courses at 18 postsecondary institutions across five academic years in West Virginia, using de-identified student data. The researcher analyzed this extant data to determine if student characteristics were predictors of success, as defined as passing the mathematics corequisite course, retention to the next semester, and earning a GPA of 2.0 or higher. The researcher also conducted analyses to understand if the differences in those outcomes between STEM and non-STEM courses were significant. This study identified statistically significant gaps in success for students …

A Predictive Model To Predict Cyberattack Using Self-Normalizing Neural Networks, Oluwapelumi Eniodunmo

Theses, Dissertations and Capstones

Cyberattack is a never-ending war that has greatly threatened secured information systems. The development of automated and intelligent systems provides more computing power to hackers to steal information, destroy data or system resources, and has raised global security issues. Statistical and Data mining tools have received continuous research and improvements. These tools have been adopted to create sophisticated intrusion detection systems that help information systems mitigate and defend against cyberattacks. However, the advancement in technology and accessibility of information makes more identifiable elements that can be used to gain unauthorized access to systems and resources. Data mining and classification tools …

Sequential Assembly Of 1-D And 2-D Origami Arrays, Nathan Shin

Theses, Dissertations and Capstones

DNA origami, invented by Paul Rothemund in 2006, provides many possible routes for the synthesis of complex macromolecular assemblies. This project involves the creation of 1-D and 2-D arrays of cross origami to support the development of DNA detection devices by providing precise platforms for these devices. The M13 plasmid is the most commonly used scaffold in DNA nanotechnology, limiting the size and complexity of an individual DNA origami construct. However, by creating larger assemblies, the dimensions can be multiplied. For example, by alternating two different types of cross origami, optical reporters can be separated by 200 nm, which is …

Inflammatory Response To Sleep Fragmentation In Skeletal, Cardiac, And Smooth Muscle Tissues In Female Mice, Patton Allen

Mahurin Honors College Capstone Experience/Thesis Projects

Sleep is a critical process that the body undergoes. When sleep is interrupted, so that an individual is awakened for some period before going back into sleep, the sleep can be described as fragmented. Studies in the past have shown that sleep fragmentation (SF) promotes an inflammatory environment, especially in the brain and peripheral tissue. However, studies have not been conducted to observe inflammatory responses in muscle. To examine this, C57BL/6J female mice were subjected to either a control group (no SF) or a SF group which involved using an automated SF chamber to disrupt sleep every 2 min over …

The Glorious Past And The Ecologically Modern: A Guided Journey Through Reconstructions Of China In Rural Shanxi, Melinda Herrold-Menzies

EnviroLab Asia

The article traces an EnviroLab Asia research trip designed to learn how “traditional” music and “folk” dance had been used to transform a loose configuration of farms into an integrated organic agricultural cooperative. This trip was second part of a multi-pronged case-study project looking at music, agriculture and sustainability in Indonesia and China. The importance of this research trip was to build collaborative relationships with our colleagues in Shanxi so that we will be able to produce interdisciplinary research with multinational partners in the future.

The Atlantic Surfclam Fishery And Offshore Wind Energy Development: 2. Assessing Economic Impacts, Andrew M. Scheld, Jennifer Beckensteiner, Daphne M. Munroe, Eric N. Powell, Sarah Borsetti, Eileen E. Hofmann, John M. Klinck

CCPO Publications

The Atlantic surfclam (Spisula solidissima) fishery generates approximately USD 30 million in landings revenues annually, distributed across ports throughout the US Mid-Atlantic and Northeast. Overlap between areas of Atlantic surfclam harvests and offshore wind energy leasing make the fishery vulnerable to exclusion and effort displacement as development expands in the region. An existing integrated bioeconomic agent-based model, including spatial dynamics in Atlantic surfclam stock biology, heterogeneous captain behaviour, and federal management processes, was extended to incorporate costs and revenues for fishing vessels and processors and used to evaluate the potential economic effects of offshore wind development on the …

Deformation Of Wall Rocks And Overburden Sequences Proximal To Salt Diapirs In Salt Valley, Utah: Implications For Predicting Subseismic Damage In Salt Tectonic Systems, William Swanger

Theses and Dissertations--Earth and Environmental Sciences

Although deformation related to salt tectonics is generally considered to be an ancillary field of structural geology, owing to its relatively limited occurrence in the geologic record, the preponderance of salt-involved systems in multiple hydrocarbon-rich basins around the world (e.g., Gulf of Mexico, Atlantic passive margins, Iran, etc.) creates a necessity for understanding salt-related deformation. Traditionally, salt was considered to be relatively weak and thus was mostly unable to drive deformation of adjacent wall rocks and cover sequences. However, a number of recent numerical modeling studies have shown that mobilized and pressurized salt may have the ability to actively pierce …

Temporally Sliced Photon Primitives For Volumetric Time-Of-Flight Rendering, Yang Liu

Dartmouth College Master’s Theses

Traditional steady-state rendering assumes that the light transport has already reached equilibrium. In contrast, time-of-flight rendering removes this assumption and recovers the pattern of light at extremely high temporal resolutions. This novel rendering modality not only provides a way to visualize the propagation of light, but can also empower the advances in time-of-flight imaging and its corresponding applications.

Building on previous work in steady-state volumetric rendering, this thesis introduces a novel framework for deriving new Monte Carlo estimators for solving the time-of-flight rendering problem in participating media. Conceptually, our method starts with any steady-state photon primitive, like a photon plane …

Bathymetric Mapping And Sonar Imaging Of Tufa At Green Lakes: Fayetteville, New York, Justin Stroup, Rachel Lee, Richard A. Frieman, Aidan Becker, Nicole Insolia

Adirondack Journal of Environmental Studies

The Fayetteville Green Lakes State Park, located in Fayetteville, New York, consists of two deep (48 m+), meromictic (non-mixing) lakes with unique limnological, bacterial, and chemical characteristics. These lakes, named Round Lake and its larger companion Green Lake, have been extensively studied for nearly 200 years because of their unique character. The lake water contains two distinct layers, the oxygen-rich mixolimnion and the anoxic monimolimnion divided by the chemocline (a chemical compositional boundary). Tufa deposits exist along the shorelines of both lakes at various depths and are a product of groundwater output into the lakes, as well as the lakes’ …

Dugout Canoes From Lakes Of The Adirondack Uplands, Jay Curt Stager, David Fadden, Christopher B. Wolff

Adirondack Journal of Environmental Studies

We describe here four dugout canoes that have been retrieved from three water bodies in the Adirondack uplands during the last half century. Two dugouts from Lake Placid and Lake Ozonia, which are kept at the Six Nations Iroquois Cultural Center and Adirondack Experience, respectively, were made by Indigenous or Euro-American people equipped with metal tools and are probably no more than 4 centuries old. Two other dugouts under private ownership that were retrieved from Twin Ponds were almost certainly made by Indigenous artisans with traditional methods. The larger of the two is 6 m long and up to 5 …

Iere Annual Report 2022, Erin Largo-Wight, James W. Taylor, Kelly A. Rhoden

Annual Reports

2022 Annual Report of the Institute for Environmental Research and Education

Implementing The Simplex Algorithm To Solve Zero-Sum Games, Chineng Vang

Senior Seminars and Capstones

The concept of a zero-sum game in Game Theory is widely studied in fields such as Mathematics and Economics in order to analyze situations and determine optimal courses of actions. Although a game or situation with fewer decisions can be solved by hand, we can turn to the Simplex Algorithm to efficiently solve larger games. This paper examines how the Simplex Algorithm can be implemented as a linear program in order to solve m x n zero-sum games.

Wisdom Of Nature: Finding Tao In Water, Ziyu Xu

Senior Projects Fall 2022

Senior Project submitted to The Division of Arts of Bard College.

Hypergeometric Motives, David P. Roberts, Fernando Rodriguez Villegas

Mathematics Publications

No abstract provided.

Engagement Detection Using Prosodic Cues: An Approach For Measuring Child Emotional Engagement Level In Child-Robot Interaction Scenario, Mustafa Oztoprak

Graduate Research Theses & Dissertations

The ultimate goal of advanced child-robot interaction is to develop a high-level intelligencecommunication channel in a closed-loop configuration with the child as the focal point of the instructional scenario. This goal can be met by establishing efficient sensing mechanisms on the robot’s side, such as automatic engagement measuring, which will allow the robot to alter its behavior or even the instructional scenario’s execution.Recent researches, regarding engagement recognition systems mostly based on facial or multi-modal features.We would like to investigate this topic using prosodic cues only. We believe speech characteristics are more likely to be related to child speaker engagement level.This …

Supervised Machine Learning Techniques Applied To Low-Cost Air Quality Sensor Suites, Peter Wahman

All Undergraduate Theses and Capstone Projects

Low-cost PM sensors have garnered interest for their ability to reduce the cost of investigating PM concentrations in both indoor and outdoor spaces. They perform well in high concentration lab testing with correlation coefficients greater than 0.9. In real-world applications, the correlation coefficients drop significantly because of sensing floors and adverse ambient conditions. There are plenty of supervised machine learning techniques that aim to correct the measurements ranging from linear regression to more advanced neural networks and random forests. This work aims to use those more complicated techniques to adjust the measurements using other data sets gathered by a sensor …

Extremophilic Fungi From Marine Environments: Underexplored Sources Of Antitumor, Anti-Infective And Other Biologically Active Agents, Lesley Ann Giddings, David J. Newman

Chemistry: Faculty Publications

Marine environments are underexplored terrains containing fungi that produce a diversity of natural products given unique environmental pressures and nutrients. While bacteria are commonly the most studied microorganism for natural products in the marine world, marine fungi are also abundant but remain an untapped source of bioactive metabolites. Given that their terrestrial counterparts have been a source of many blockbuster antitumor agents and anti-infectives, including camptothecin, the penicillins, and cyclosporin A, marine fungi also have the potential to produce new chemical scaffolds as leads to potential drugs. Fungi are more phylogenetically diverse than bacteria and have larger genomes that contain …

Performance Of Near-Infrared High-Contrast Imaging Methods With Jwst From Commissioning, Jens Kammerer, Julien Girard, Aarynn L. Carter, Marshall D. Perrin, Rachel Cooper, Deepashri Thatte, Thomas Vandal, Jarron Leisenring, Jason Wang, William O. Balmer, Anand Sivaramakrishnan, Laurent Pueyo, Kimberly Ward-Duong, Ben Sunnquist, Jéa Adams Redai

Astronomy: Faculty Publications

The James Webb Space Telescope (JWST) will revolutionize the field of high-contrast imaging and enable both the direct detection of Saturn-mass planets and the characterization of substellar companions in the mid-infrared. While JWST will feature unprecedented sensitivity, angular resolution will be the key factor when competing with ground-based telescopes. Here, we aim to characterize the performance of several extreme angular resolution imaging techniques available with JWST in the 3-5 µm regime based on data taken during the instrument commissioning. Firstly, we introduce custom tools to simulate, reduce, and analyze JWST NIRCam and MIRI coronagraphy data and use these tools to …

Direct Imaging & Spectroscopy Of Exoplanetary Systems With The Jwst Early Release Science Program, Sasha Hinkley, Aarynn L. Carter, Shrishmoy Ray, Beth Biller, Andrew Skemer, Elodie Choquet, Maxwell A. Millar-Blanchaer, Stephanie Sallum, Brittany Miles, Niall Whiteford, Polychronis Patapis, Marshall Perrin, Laurent Pueyo, Karl Stapelfeldt, Jason Wang, Kimberly Ward-Duong, Julien H. Girard, Dean Hines, Jens Kammerer, Jarron Leisenring, Yifan Zhou, Michael Meyer, Michael C. Liu, Mickael Bonnefoy, Simon Petrus, Mariangela Bonavita, Gael Chauvin, Christine Chen, Thayne Currie, Kielan K.W. Hoch, Cecilia Lazzoni, Elisabeth C. Matthews

Astronomy: Faculty Publications

The direct characterization of exoplanetary systems with high contrast imaging is among the highest priorities for the broader exoplanet community. As large space missions will be necessary for detecting and characterizing exo-Earth twins, developing the techniques and technology for direct imaging of exoplanets is a driving focus for the community. For the first time, JWST will directly observe extrasolar planets at mid-infrared wavelengths beyond 5 μm, deliver detailed spectroscopy revealing much more precise chemical abundances and atmospheric conditions, and provide sensitivity to analogs of our solar system ice-giant planets at wide orbital separations, an entirely new class of exoplanet. However, …

Assessment Of The Negative Role Amur Honeysuckle Has On Urban Forest Diversity, Hayley Schlabowske, Paige Lundborg, Jason Koontz, Michael Reisner

Independent Research Projects

Lonicera maackii (Amur Honeysuckle), an invasive shrub species, has out-competed native species in urban riparian zones for decades due to its ability to receive more sunlight and it also secretes an allelochemical from its leaves that negatively impacts the ecosystems. Our research question is how does Lonicera maackii affect native plant species in the herbaceous understory? Five forest communities were sampled in Northwest Illinois. Sites were separated into four different categories with L. maackii only, Garlic Mustard (Alliaria petiolata) only, Neither invasive species, and sites where both occur. There were 12 sites for each of the four categories resulting in …

Electroencephalogram Classification Of Brain States Using Deep Learning Approach, Hrishitva Patel

Computer Science Faculty Scholarship

The oldest diagnostic method in the field of neurology is electroencephalography (EEG). To grasp the information contained in EEG signals, numerous deep machine learning architectures have been developed recently. In brain computer interface (BCI) systems, classification is crucial. Many recent studies have effectively employed deep learning algorithms to learn features and classify various sorts of data. A systematic review of EEG classification using deep learning was conducted in this research, resulting in 90 studies being discovered from the Web of Science and PubMed databases. Researchers looked at a variety of factors in these studies, including the task type, EEG pre-processing …

Exploring The Integration Of Corporate Sustainability Into Small-Scale Business Activities, Olushola O. Odutola

Walden Dissertations and Doctoral Studies

Small and medium-scale enterprises contribute 49% of the gross domestic product in Nigeria. The lack of research studies on how small and medium-scale enterprises integrate corporate sustainability into their business operations might present challenges for policymakers in achieving Nigeria’s sustainable development goals (SDG). The purpose of this descriptive phenomenological study was to explore how managers of small and medium-scale enterprises integrate the corporate sustainability dimensions into their business operations based on the concepts of the corporate entity, corporate nature, and corporate obligations. The central research question of this study was how managers of small and medium-scale enterprises integrate the economic, …

The Algebra Of Type Unification, Verity James Scheel

Senior Projects Spring 2022

Type unification takes type inference a step further by allowing non-local flow of information. By exposing the algebraic structure of type unification, we obtain even more flexibility as well as clarity in the implementation. In particular, the main contribution is an explicit description of the arithmetic of universe levels and consistency of constraints of universe levels, with hints at how row types and general unification/subsumption can fit into the same framework of constraints. The compositional nature of the algebras involved ensure correctness and reduce arbitrariness: properties such as associativity mean that implementation details of type inference do not leak in …