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Articles 9571 - 9600 of 294489
Full-Text Articles in Physical Sciences and Mathematics
Declined Charge: An Attempt At The Horror Game Genre, Fernando Sepulveda Guizar
Declined Charge: An Attempt At The Horror Game Genre, Fernando Sepulveda Guizar
Computer Science and Software Engineering
Books and movies are a great medium for people to experience new worlds and experiences through a usually passive method. This can be great for stories with a set story and have all the pieces fall into place as the author intended. Video games on the other hand can give players a more active role in the worlds and stories that they experience. Players have direct control over the player character, and their actions have consequences that may or may not persist throughout the entire game, which is not usually the case with movies or books. This is why horror …
The Influence Of Tight Binaries On Protoplanetary Disk Masses, K. Flaherty, P. Knowlton, T. Smith-Gandy, A. M. Hughes, M. Kounkel, Eric L.N. Jensen, J. Muzerolle, K. Covey
The Influence Of Tight Binaries On Protoplanetary Disk Masses, K. Flaherty, P. Knowlton, T. Smith-Gandy, A. M. Hughes, M. Kounkel, Eric L.N. Jensen, J. Muzerolle, K. Covey
Physics & Astronomy Faculty Works
Binary systems are a common site of planet formation, despite the destructive effects of the binary on the disk. While surveys of planet-forming material have found diminished disk masses around binaries with medium separation (∼10–100 au), less is known about tight (< 10 au) binaries, where a significant circumbinary disk may escape the disruptive dynamical effects of the binary. We survey over 100 spectroscopic binaries in the Orion A region with the Atacama Large Millimeter/submillimeter Array (ALMA), detecting significant continuum emission among 21 of them with disk masses ranging from 1 to 100 M⊕. We find evidence of systematically lower disk masses among the binary sample when compared to single-star surveys, which may reflect a diminished planet-forming potential around tight binaries. The infrared excess fraction among the binary sample is comparable to that of single stars, although the tight binaries without significant ALMA emission display tentative evidence of weaker 3–5 …
From Static Prediction To Mindful Machines: A Paradigm Shift In Distributed Ai Systems, Rao Mikkilineni, W. Patrick Kelly
From Static Prediction To Mindful Machines: A Paradigm Shift In Distributed Ai Systems, Rao Mikkilineni, W. Patrick Kelly
Barowsky School of Business | Faculty Scholarship
A special class of complex adaptive systems—biological and social—thrive not by passively accumulating patterns, but by engineering coherence, i.e., the deliberate alignment of prior knowledge, real-time updates, and teleonomic purposes. By contrast, today’s AI stacks—Large Language Models (LLMs) wrapped in agentic toolchains—remain rooted in a Turing-paradigm architecture: statistical world models (opaque weights) bolted onto brittle, imperative workflows. They excel at pattern completion, but they externalize governance, memory, and purpose, thereby accumulating coherence debt—a structural fragility manifested as hallucinations, shallow and siloed memory, ad hoc guardrails, and costly human oversight. The shortcoming of current AI relative to human-like intelligence is therefore …
The Price Of Priorities: How Human Choices Fuel Climate And Ecological Decline, Keisha Hickman
The Price Of Priorities: How Human Choices Fuel Climate And Ecological Decline, Keisha Hickman
Biological Sciences Undergraduate Honors Theses
This thesis examines the ways in which human priorities and behaviors contribute to the escalating climate crisis and ecological systems. We will first analyze the role of social media in shaping public discourse on climate change and critically evaluate the priorities of institutions that have the means to assist in wildlife conservation. Both speak to the current behaviors of humankind prioritizing their own entertainment over meaningful efforts to mitigate climate change and preserve biodiversity. We will then shift to exploring the profound impact of human population growth and its associated activities on other species and ecosystems. Finally, the thesis will …
Full Issue, The Mcnair Team
Crime Statistics And Taxi Transportation In New York City: An Exploratory Data Analysis, Adelyn J. Fleming
Crime Statistics And Taxi Transportation In New York City: An Exploratory Data Analysis, Adelyn J. Fleming
All Graduate Reports and Creative Projects, Fall 2023 to Present
In a heavily populated city as busy and vibrant as New York City, people are constantly on the move. Some of that movement might be connected to the occurrence of certain crimes. This study explores how movement, especially from yellow taxicabs, relates to crime occurrences within different parts of the city. By looking at the 2018 taxi trip and crime data, alongside population data from the 2020 U.S. Census, this project aims to explore how individuals travel within the city and whether there is any relationship with the types of crime that occur within those areas. Visual tools and maps …
Error Reduction Methodology And Data Simulation For Interval Data, Ranik Christopher Jelinek
Error Reduction Methodology And Data Simulation For Interval Data, Ranik Christopher Jelinek
Undergraduate Honors Capstone Projects
Chronic kidney disease (CKD) is a progressive condition affecting hundreds of millions of individuals worldwide. However, clinical datasets often record continuous laboratory measurements as categorical intervals rather than precise numerical values. This interval-censored structure presents methodological challenges for standard regression-based classifiers. This study compares three strategies for handling interval-valued predictors prior to fitting a logistic LASSO model: (1) midpoint imputation, which replaces each interval with its arithmetic center; (2) ordinal encoding, which maps intervals to integer ranks; and (3) a Monte Carlo simulation approach, which repeatedly samples uniformly from each observed interval and averages predictions across replications. Using a 10-fold …
Role Of Competition In Avoiding Social Collapse, Gabriel M. Tonks
Role Of Competition In Avoiding Social Collapse, Gabriel M. Tonks
All Graduate Reports and Creative Projects, Fall 2023 to Present
Historical examples suggest that isolated, resource-scarce societies are prone to increased hostility and social disasters. The research in this report explores the role of intrasocietal competition in avoiding resource collapse. Two resource-consumer models are proposed with competition which depends on the level of available resources. One of these models is selected for in-depth analysis, and the region in the parameter space where saddle-node bifurcations emerge is computed numerically. The effects of environmental noise on resource growth are simulated, showing that the increased noise usually has negative long-term effects which might be mitigated via increased consumer competition.
Modeling And Analysis Of Electric Signal In Neurons, Kevin J. Roberts
Modeling And Analysis Of Electric Signal In Neurons, Kevin J. Roberts
All Graduate Reports and Creative Projects, Fall 2023 to Present
Neurons in humans and other species transmit information by sending electric signals via axons. This process relies on the generation and propagation of action potentials—rapid changes in the membrane potential of the axon. Understanding the mechanisms of action potentials, including how they are generated and influenced by the axon geometry and material parameters, is crucial for gaining insight into neurological diseases such as Alzheimer’s and Multiple Sclerosis (diseases highly correlated to demyelination). In this work, we review and summarize mathematical models for signal transmission–including the classical Hodgkin-Huxley model, the Single Cable (SC) model, and the Double Cable (DC) model. We …
The Depositional Environment Of The Triassic Cow Branch Formation, Dan River Basin Of Virginia And North Carolina Through Petrographic Study And Geochemical Analysis, And In Relation To Taphonomic Processes And Vertebrate Morphology, Gina M. Workman
All Graduate Reports and Creative Projects, Fall 2023 to Present
The Upper Triassic Cow Branch Formation of the Dan River Basin, located in southern Virginia and northern North Carolina, has long captivated generations of geoscientists. Since the 1970s, researchers have sought to unravel the mystery surrounding the depositional environment of this ancient lake system. This world-class lagerstätte hosts a diverse assemblage of fossil fauna and flora, with a notable preservation bias toward fossil vertebrates, most prominently the archosauromorph, Tanytrachelos ahynis. The geology of the Cow Branch strata continues to evoke a persistent question: Are these sediments representative of a shallow or deep lake?
I undertook a petrographic and geochemical study …
Thermal And Non-Thermal Mass Transport Effects In Plasmon-Assisted Electrochemistry., Md Al Amin
Thermal And Non-Thermal Mass Transport Effects In Plasmon-Assisted Electrochemistry., Md Al Amin
Electronic Theses and Dissertations
Plasmon-assisted electrochemistry has received attention due to its effects of hot charge carriers, photothermal heating, and enhanced electromagnetic field impact on electrochemical transformation. These effects have contributed to lowering the onset potential and increasing the reaction kinetics. Numerous studies have been employed to differentiate the effect of photothermal heating from hot charge carriers on the electrochemical reaction. Most of these studies have been employed to measure and quantify the photothermal heating effects at equilibrium temperature; however, localized heating from the incident light does not result in homogeneous heating across the electrochemical cell. Many studies investigating the photothermal heating effect in …
A Persistent Homology Framework For Scrna-Seq: Assessing Clustering Robustness And Quantifying Preprocessing And Integration Effects On Topological Features., Jonah Daneshmand
A Persistent Homology Framework For Scrna-Seq: Assessing Clustering Robustness And Quantifying Preprocessing And Integration Effects On Topological Features., Jonah Daneshmand
Electronic Theses and Dissertations
As single-cell RNA sequencing (scRNA-seq) data expands, robust methods for integrating diverse datasets are critical. This dissertation applies Persistent Homology (PH), a technique from Topological Data Analysis (TDA), to a collection of scRNA-seq datasets spanning eight tissue types to quantify how data integration affects topological features and biological interpretability. We assessed global topological structure using Betti curves, Euler characteristics, and persistence landscapes across raw, normalized, and integrated data representations. Our analysis revealed a performance inversion: while conventional methods excelled on unintegrated data, high-granularity topological methods, particularly those sensitive to global data structure, became superior after integration. This suggests a synergy …
Direct And Satellite-Based Quantification Of Greenhouse Gas Fluxes In Small Ponds., Mark Christopher Tierney
Direct And Satellite-Based Quantification Of Greenhouse Gas Fluxes In Small Ponds., Mark Christopher Tierney
Electronic Theses and Dissertations
As evidenced by their historic losses due to anthropogenic activities, wetlands are undervalued ecosystems that provide numerous ecosystem services, from recreational opportunities to carbon (C) storage. However, these wetlands are also the largest natural source of atmospheric methane (CH4). Additionally, small water bodies (< 10,000 m2) are disproportionately large emitters relative to larger lakes and reservoirs. As construction and restoration efforts proceed, it is crucial to identify wetlands that need restoration and to understand the factors driving both greenhouse gas (GHG) fluxes and the C balance of these systems. This dissertation investigates the drivers of greenhouse gas fluxes …
Software Developer Job Satisfaction: Interpretable Machine Learning Insights From The Stack Overflow Developer Survey, Reagan E. Hoopes
Software Developer Job Satisfaction: Interpretable Machine Learning Insights From The Stack Overflow Developer Survey, Reagan E. Hoopes
All Graduate Theses and Dissertations, Fall 2023 to Present
Many researchers have investigated the factors influencing software developer workplace outcomes, such as job satisfaction, due to the central role of the tech industry in the global economy and the specialized expertise of software developers. Past research has often relied on small surveys and traditional analysis methods, with limited use of modern machine learning techniques. This study introduces an efficient and scalable approach to analyzing software developer job satisfaction using interpretable machine learning.
We use data from the 2019 and 2024 Stack Overflow Developer Surveys, an annual survey of software developers worldwide that encompasses a broad range of topics, including …
Summary Of Pine Valley Area Groundwater Studies, Melissa Stamp, Bethany Neilson, Anna Mcentire, Burdette Barker, Lisa Welsh, Joanna Endter-Wada, Brian Steed
Summary Of Pine Valley Area Groundwater Studies, Melissa Stamp, Bethany Neilson, Anna Mcentire, Burdette Barker, Lisa Welsh, Joanna Endter-Wada, Brian Steed
Reports
The Utah Division of Water Resources contracted with Utah State University to document key scientific and policy information related to the current water conflict between Iron and Beaver Counties over the development of the Pine Valley Water Supply Project (PVWSP). The proposed PVWSP would pump groundwater from Pine Valley in Beaver County and pipe it southeast to the Cedar City region of Iron County served by the Central Iron County Water Conservancy District (CICWCD). Numerous concerns about the project have been raised by Beaver County and other interested parties. A number of these concerns are related to different understandings or …
Fast Computation Of The Friction Stir Welding Process With Model Order Reduction, Joshua Kay
Fast Computation Of The Friction Stir Welding Process With Model Order Reduction, Joshua Kay
All Graduate Theses and Dissertations, Fall 2023 to Present
Friction stir welding (FSW) is a manufacturing process used to join materials through intense heat and pressure. To better understand and optimize this FSW process, mathematical models incorporating non-Newtonian Navier-stokes equations for large plastic deformation and heat equation for the heat transfer are used to simulate the FSW process. However, solving these coupled and nonlinear equations with high accuracy requires significant computational power and time. This thesis has applied model order reduction, more precisely the Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM), to efficiently solve the FSW system in low-dimensional space. Slight modifications are made regarding the …
Integrating Manager Perspectives Into The Evaluation Of Wetland Revegetation Strategies, Loren F. Taylor
Integrating Manager Perspectives Into The Evaluation Of Wetland Revegetation Strategies, Loren F. Taylor
All Graduate Theses and Dissertations, Fall 2023 to Present
Ecological restoration is the process of assisting the recovery of an ecosystem that has been degraded and is dependent on complex and context-specific decisions. The decision-making process influencing restoration is rarely examined alongside ecological processes. There is a need for research that incorporates the social, economic, institutional, and logistical considerations that shape real-world practices, as well as ecological processes. Decisions made by restoration practitioners and land managers (hereon “manager”) are challenged by the lack of information shared regarding the practical constraints (e.g., cost, labor, specialized equipment) they face. Revegetation, particularly in wetlands, poses challenges due to site conditions and degradation …
The Impact Of Transmission Thresholds Across Multiple Scales On The Spread Of Chronic Wasting Disease In Wisconsin, Jen Mcclure
The Impact Of Transmission Thresholds Across Multiple Scales On The Spread Of Chronic Wasting Disease In Wisconsin, Jen Mcclure
All Graduate Theses and Dissertations, Fall 2023 to Present
Wildlife diseases can be difficult to control once they are established. This is especially true when they spread through contact with infectious material left in the environment. One such disease is chronic wasting disease (CWD), a fatal illness affecting deer and related species in North America and other regions. CWD is caused by prions, misfolded proteins that can remain infectious for years after shedding by infected hosts.
Recent research shows that CWD infection does not always follow from the gradual accumulation of prions through small contact events. Rather, an individual may need to encounter a certain prion dose all at …
Multi-Agent Robotaxi Dispatch Coordination In A Real-World Simulation – Optimizing Rider Assignment, Rebalancing, And Charging Using Battery-Dependent Rewards And Welfare Maximization, Paden Thompson
All Graduate Theses and Dissertations, Fall 2023 to Present
We propose an approach to coordinate a robotaxi fleet for an autonomous ride-hail service. This is a service similar to a traditional ride-hailing service (Uber, Lyft), where customers request a ride and are then picked up in a car and dropped off in a new location; except, driverless vehicles called robotaxis are used to transport the customers.
Our approach teaches helpful coordination strategies to a robotaxi fleet while taking into account the individual battery level of the robotaxis. Each robotaxi acts as an individual agent in our simulation and can choose to pick up a rider, reposition to a new …
Dynamics, Predictability And Impacts Of Multi-Year La Niña Event, Nahid A. Hasan
Dynamics, Predictability And Impacts Of Multi-Year La Niña Event, Nahid A. Hasan
All Graduate Theses and Dissertations, Fall 2023 to Present
This dissertation investigates the dynamics, predictability, and impacts of multi-year La Niña events. Multi-year La Niña events are referred to as extended periods of unusually cooler tropical Pacific that persist for two or more consecutive winters. These prolonged events can increase the risk of natural hazards such as droughts, floods, and heatwaves in the western US and around the world. Despite their worldwide significance, questions remain about the mechanisms driving their initiation, their predictability, and regional hydroclimate impacts.
The first chapter of the dissertation introduces what scientists currently believe causes them, and how well different types of climate models can …
Nonlinear Phase Space Analysis For Anomaly Detection In Ros 2 Communications: Detecting Man-In-The-Middle Attacks In Simulated Environments, William L. Locklier
Nonlinear Phase Space Analysis For Anomaly Detection In Ros 2 Communications: Detecting Man-In-The-Middle Attacks In Simulated Environments, William L. Locklier
Graduate Theses and Dissertations (2019 - present)
Robot Operating System 2 (ROS 2) marks a significant advancement over its predecessor through the transition from a centralized to a decentralized architecture, integrating the Data Distribution Service (DDS) to support real-time, scalable communications. Despite these improvements, inherent vulnerabilities in the ROS 2 communication stack continue to leave these systems exposed to sophisticated network-based attacks. This study leveraged nonlinear phase space analysis (NLPSA) as an intrusion detection system (IDS) to detect man-in-the-middle (MitM) attack anomalies in ROS 2 traffic. Grounded in Takens’ embedding theorem, NLPSA reconstructs the phase space of communication features and compares the resulting structure against a baseline …
Synthesis, Characterization, And Chemical Reactivity Of Calcium-Alginate Hydrogel Beads Containing Metal Nanoparticles And Nanoclusters., Rajiv Kumar Singh
Synthesis, Characterization, And Chemical Reactivity Of Calcium-Alginate Hydrogel Beads Containing Metal Nanoparticles And Nanoclusters., Rajiv Kumar Singh
Electronic Theses and Dissertations
This dissertation explores the synthesis, stability, and reactivity of various metal nanoparticles (NPs) and nanoclusters (NCs) of varied size and stabilizers contained within millimeter-sized calcium alginate (Ca-Alg) hydrogel polymer beads. Hydrogel beads synthesized by combining sodium alginate with Au or Ag NPs stabilized with trisodium citrate (Cit) and adding dropwise into a 4.0 M Ca2+ solution remained stable and contained within the beads. Those synthesized Au, Pd and AuPd NCs stabilized with glutathione (SG) became partially released from the hydrogel within a day. The synthesis of beads containing aggregated Cit Au NPs occurs by inducing aggregation with tetrakis(hydroxymethyl) phosphonium …
El Poder Del Bilingüismo Y La Ciencia, Isabella Winslow
El Poder Del Bilingüismo Y La Ciencia, Isabella Winslow
World Languages and Cultures
This project is an explanation of the importance of bilingualism, science, and our responsibility as humans within this environment. As living beings on this planet, we have a responsibility to respect and protect it. Over the course of the last several hundred years, we humans have made countless advancements. We have created unimaginable technology and discovered incredible resources produced by the land. However, in the process of doing so, we have damaged and continue to damage our environment. Reefs in the ocean have been bleached by increases in acidity, thousand year old glaciers have melted, forests have been destroyed by …
Onset Of Strong Iceland-Scotland Overflow Water 3.6 Million Years Ago, Matthias Sinnesael, Boris Theofanis Karatsolis, Paul N. Pearson, Anne Briais, Sidney R. Hemming, Leah J. Levay, Tom Dunkley Jones, Ying Cui, Anita Di Chiara, Justin P. Dodd, Deepa Dwyer, Deborah E. Eason, Sarah A. Friedman, Emma Hanson, Katharina Hochmuth, Halima E. Ibrahim, Claire E. Jasper, Saran Lee-Takeda, Danielle E. Leblanc, Melody R. Lindsay, David D. Mcnamara, Sevasti E. Modestou, Margaret A. Morris, Bramley J. Murton, Suzanne Oconnell, Gabriel Pasquet, Sheng Ping Qian, Yair Rosenthal, Sara Satolli, Takuma Suzuki, Thena Thulasi, Bridget S. Wade
Onset Of Strong Iceland-Scotland Overflow Water 3.6 Million Years Ago, Matthias Sinnesael, Boris Theofanis Karatsolis, Paul N. Pearson, Anne Briais, Sidney R. Hemming, Leah J. Levay, Tom Dunkley Jones, Ying Cui, Anita Di Chiara, Justin P. Dodd, Deepa Dwyer, Deborah E. Eason, Sarah A. Friedman, Emma Hanson, Katharina Hochmuth, Halima E. Ibrahim, Claire E. Jasper, Saran Lee-Takeda, Danielle E. Leblanc, Melody R. Lindsay, David D. Mcnamara, Sevasti E. Modestou, Margaret A. Morris, Bramley J. Murton, Suzanne Oconnell, Gabriel Pasquet, Sheng Ping Qian, Yair Rosenthal, Sara Satolli, Takuma Suzuki, Thena Thulasi, Bridget S. Wade
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
North Atlantic Deep Water (NADW), the return flow component of the Atlantic Meridional Overturning Circulation (AMOC), is a major inter-hemispheric ocean water mass with strong climate effects but the evolution of its source components on million-year timescales is poorly known. Today, two major NADW components that flow southward over volcanic ridges to the east and west of Iceland are associated with distinct contourite drift systems that are forming off the coast of Greenland and on the eastern flank of the Reykjanes (mid-Atlantic) Ridge. Here we provide direct records of the early history of this drift sedimentation based on cores collected …
Environmental Justice In Indigenous Communities: The Disproportionate Effects Of Environmental Contamination, Rae Cade, Danlin Yu, Charles Knoble, Kyle Whyte, Pankaj Lal, Cortni Borgerson
Environmental Justice In Indigenous Communities: The Disproportionate Effects Of Environmental Contamination, Rae Cade, Danlin Yu, Charles Knoble, Kyle Whyte, Pankaj Lal, Cortni Borgerson
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Indigenous communities in New Jersey, New York, and Pennsylvania (referred to as the northeastern United States) face disproportionate environmental pollution, with mortality rates 60 % higher than their white counterparts –an inequity that extends beyond formal recognition categories. While previous research has revealed pollution from facilities that cause severe health issues in Indigenous communities, broad geographic studies examining the spatial correlation between Environmental Justice (EJ) indicators and Indigenous populations remain limited. This study addresses this gap by examining contamination patterns across the northeastern United States, focusing on Superfund sites, drinking water violations, oil spills, and natural gas releases. Our analysis …
A Hedonic Analysis Of Combined Sewer Overflows (Csos) In Northern New Jersey, Taylor Wieczerak, Pankaj Lal, Pralhad Burli, Benjamin Barnett Witherell, Erik Lyttek, Bernabas T. Wolde, Ava Distaso
A Hedonic Analysis Of Combined Sewer Overflows (Csos) In Northern New Jersey, Taylor Wieczerak, Pankaj Lal, Pralhad Burli, Benjamin Barnett Witherell, Erik Lyttek, Bernabas T. Wolde, Ava Distaso
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Significant water pollution caused by flooding due to heavy precipitation and extreme weather events has become a considerable problem, and changing weather patterns and sea level rise attributable to global climate change stand to further exacerbate the issue. During heavy precipitation events, combined stormwater and untreated sewage may be diverted to adjacent water bodies via combined sewer overflows (CSOs), resulting in contamination and water pollution that can be harmful to human and environmental health. Though water quality effects of CSO discharges have been studied, the socio-economic aspects of this infrastructure have not received much scientific attention. This study provides an …
Millennial-Timescale Thermogenic Co2 Release Preceding The Paleocene-Eocene Thermal Maximum, Shijun Jiang, Ying Cui, Yasu Wang, Maurizia De Palma, B. David A. Naafs, Jingxin Jiang, Xiumian Hu, Huaichun Wu, Runjian Chu, Yangguang Gu, Jiuyuan Wang, Yizhou Huang, Miquela Ingalls, Timothy J. Bralower, Shiling Yang, James C. Zachos, Andy Ridgwell
Millennial-Timescale Thermogenic Co2 Release Preceding The Paleocene-Eocene Thermal Maximum, Shijun Jiang, Ying Cui, Yasu Wang, Maurizia De Palma, B. David A. Naafs, Jingxin Jiang, Xiumian Hu, Huaichun Wu, Runjian Chu, Yangguang Gu, Jiuyuan Wang, Yizhou Huang, Miquela Ingalls, Timothy J. Bralower, Shiling Yang, James C. Zachos, Andy Ridgwell
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Geologic records support a short-lived carbon release, known as the pre-onset excursion (POE), shortly before the Paleocene-Eocene Thermal Maximum (PETM; ~ 56 Ma). However, the source and pace of the POE carbon release and its relationship to the PETM remain unresolved. Here we show a high-temporal-resolution stratigraphic record spanning the POE and PETM from the eastern Tethys Ocean that documents the evolution of surface ocean carbon cycle, redox and eutrophication, confirming the global nature of the POE. Biomarkers extracted from the sedimentary record indicate a smaller environmental perturbation during the POE than that during the PETM in the eastern Tethys …
Wacsaw: An Adaptive, Statistical Method To Classify Movement Into Sleep And Wakefulness States, Austin Vandegriffe, V. A. Samaranayake, Matthew S. Thimgan
Wacsaw: An Adaptive, Statistical Method To Classify Movement Into Sleep And Wakefulness States, Austin Vandegriffe, V. A. Samaranayake, Matthew S. Thimgan
Mathematics and Statistics Faculty Research & Creative Works
Wearable actimeters can improve our understanding of sleep in the natural environments. Current algorithms may produce inaccuracies in specific individuals and circumstances, such as quiet wakefulness. New hardware allows data collection at higher frequencies enabling sophisticated analytical methods. We have developed a novel statistical algorithm, the Wasserstein Algorithm for Classifying Sleep and Wakefulness (WACSAW), to identify behavioral states from recordings of everyday movement. WACSAW employs optimal transport techniques to identify segments with differing activity variability. Functions characterizing the segments' movement distributions were clustered into two groups using a k-nearest neighbors and labeled as sleep or wake based on their proximity …
Adaptive Deep Learning In Physical Layer Applications, Ali Owfi
Adaptive Deep Learning In Physical Layer Applications, Ali Owfi
All Dissertations
Traditionally, signal processing models in communication systems have been designed based on solid foundations in statistics and information theory, often assuming linearity and optimizing for simplified models. However, real-world communication systems exhibit numerous imperfections and non-linearities that traditional linear models struggle to capture accurately. Deep Learning (DL)-based approaches, unconstrained by rigid mathematical models, have shown promise in optimizing system performance by accommodating specific hardware configurations and dynamic channel conditions as an alternative to the traditional methods. Despite all the recent research efforts on DL-based methods for physical layer applications, DL models have still not been widely applied to physical layer …
How Do Server-Based Architectures Compare To Serverless Architectures In Terms Of Development, Deployment Process, Scalability, And Cost-Effectiveness?, Natalio Fernandes Gomes
How Do Server-Based Architectures Compare To Serverless Architectures In Terms Of Development, Deployment Process, Scalability, And Cost-Effectiveness?, Natalio Fernandes Gomes
Honors Program Theses and Projects
Applications are tested in developers’ machines before deployment, since this is the standard practice that ensures the software is functioning as it should before deploying it to a standard practice that ensures the software is functioning as it should before deploying it to a specific environment. The deployment process consists of setting up the environmental requirements, infrastructure configuration on cloud or on-premises servers. Consequently, developers often run into the infamous "It works on my machine" problem. This issue is defined by the fact that applications function correctly in development environments but fail during deployment to production. Furthermore, scalability concerns and …