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Articles 13351 - 13380 of 302421
Full-Text Articles in Physical Sciences and Mathematics
An Empirical Evaluation Of Neural Process Meta-Learners For Financial Forecasting, Kevin G. Patel
An Empirical Evaluation Of Neural Process Meta-Learners For Financial Forecasting, Kevin G. Patel
Master's Theses
Challenges of financial forecasting, such as a dearth of independent samples and non- stationary underlying process, limit the relevance of conventional machine learning towards financial forecasting. Meta-learning approaches alleviate some of these is- sues by allowing the model to generalize across unrelated or loosely related tasks with few observations per task. The neural process family achieves this by con- ditioning forecasts based on a supplied context set at test time. Despite promise, meta-learning approaches remain underutilized in finance. To our knowledge, ours is the first application of neural processes to realized volatility (RV) forecasting and financial forecasting in general.
We …
Analyzing Tortuosity In Patterns Formed By Colonies Of Embryonic Stem Cells Using Topological Data Analysis, Jackie Driscoll
Analyzing Tortuosity In Patterns Formed By Colonies Of Embryonic Stem Cells Using Topological Data Analysis, Jackie Driscoll
Master's Theses
Pluripotent stem cells have been observed to segregate into Turing-like patterns during the early stages of Dox-inducible hiPSC differentiation. In this thesis, we de- velop a tool to quantify the tortuosity in the patterns formed by colonies of pluripo- tent stem cells using methods from topological data analysis. We use clustering techniques and the mapper algorithm to create simplicial complexes representing samples of cells and detail a method of evaluating the tortuosity of these complexes. We use the resulting persistence landscapes and their associated norms to evaluate experimental data and simulated data from an agent based model. This thesis finds …
Pfas In News Media: A Quantitative And Qualitative Analysis, Madison Haley
Pfas In News Media: A Quantitative And Qualitative Analysis, Madison Haley
University Honors Theses
News media analysis allows for a greater understanding of mainstream public concerns throughout time. The history of US news articles covering per- and polyfluoroalkyl substances (PFAS), a class of chemicals posing increasing threats to public health and the environment, demonstrates Americans' awareness and perceptions of these chemicals over time. Based on the quantitative and qualitative analyses of PFAS-related national news articles in 2012-2022, this study discusses media representations and public perceptions of PFAS during the stated period. Results indicate an over 5700% increase in PFAS-related news articles over the 10-year timespan. Further, thematic analysis reveals that PFAS-related news articles are …
Attainable And Sustainable Home Building Solutions, Katrina Matthews
Attainable And Sustainable Home Building Solutions, Katrina Matthews
Construction Management
Sustainability has fortunately been a recent concern in the construction industry as climate change continues to impose potentially insurmountable threats to the global environment. Although many new methods have been adopted in efforts to lessen the adverse environmental effects of construction-related activities, as a society, we still have much room for growth as the built environment accounts for almost 50% of global emissions. Many changes and standards must be adopted to make these solutions efficiently beneficial. To set industry standards, we must start with the most basic form of construction- residential building. This report covers two attainable framing solutions for …
Thermal, Magnetic, And Electrical Properties Of Thin Films And Nanostructures: From Magnetic Insulators To Organic Thermoelectrics, Michael J. M. Roos
Thermal, Magnetic, And Electrical Properties Of Thin Films And Nanostructures: From Magnetic Insulators To Organic Thermoelectrics, Michael J. M. Roos
Electronic Theses and Dissertations
Modern fabrication and growth techniques allow for the development of increasingly smaller and more complex solid state structures, the characterization of which require highly specialized measurement platforms. In this dissertation I present the development of techniques and instrumentation used in magnetic, thermal, and electrical property measurements of thin films and nanostructures. The understanding of trapped-flux induced artifacts in SQUID magnetometry of large paramagnetic substrates allows for the resolution of increasingly small moments. Using these methods, the antiferromagnetic coupling of the interface between a Y3Fe5O12 film and Gd3Ga5O12substrate is quantitatively …
Non-Degenerate Two-Photon Absorption And Excited State Line Shapes In Alkali Vapors, Timothy M. True
Non-Degenerate Two-Photon Absorption And Excited State Line Shapes In Alkali Vapors, Timothy M. True
Theses and Dissertations
The rubidium 5S-5D two-photon transitions were probed between 758-798 nm, where a six order of magnitude change in the cross section was observed and the polarization dependence was seen explicitly. Collisional rates are measured in cesium on the 6P-9S and 5D-10F transitions, with broadening rates as large as 710 MHz/Torr and shifting rates as large as 273 MHz/Torr. We observe Stark broadening on the cesium 5D-10F line shape, with Lorentzian width increasing from 200 MHz to 40 GHz. The influence of electron impact is discussed under these conditions and with 0-20 Torr of helium. Cascade amplified spontaneous emission is seen …
Upep Policy Brief #1: Utahns Support State Spending For Outdoor Recreation, Casey Trout
Upep Policy Brief #1: Utahns Support State Spending For Outdoor Recreation, Casey Trout
Utah People and Environment Poll (UPEP)
Utah is known as an outdoor recreation destination, with stunning landscapes ranging from high alpine mountains to red-rock deserts. In recent years, Utah’s Legislature has shown a commitment to investing in outdoor recreation. In 2017, the Legislature approved a 0.32% statewide lodging tax to fund Utah’s Outdoor Recreation Grant Program1 and in 2022 approved a diversion of 1% of all sales taxes in the state to go to funding outdoor recreation infrastructure projects2.
2023 Utah People & Environment Poll Descriptive Report, Jessica Schad, Sadie Braddock, Cole Lancaster
2023 Utah People & Environment Poll Descriptive Report, Jessica Schad, Sadie Braddock, Cole Lancaster
Utah People and Environment Poll (UPEP)
From March to May 2023, faculty and graduate students at Utah State University (USU) in the College of Humanities and Social Sciences (CHaSS) and in the department of Environment and Society started the Utah People and Environment Poll, or UPEP, to survey adult Utah residents about their perceptions on environmental issues of importance to the state.
Utah Growing Water Smart: The Water-Land Use Integration Guidebook, Kelly Kopp, Joanna Endter-Wada
Utah Growing Water Smart: The Water-Land Use Integration Guidebook, Kelly Kopp, Joanna Endter-Wada
Utah Growing Water Smart
The Utah Growing Water Smart workshops bring together teams of key community staff and water and land use planning decision makers to help build a more resilient and sustainable water future. The workshops use a range of public engagement, planning, communication, and policy implementation tools to help community teams realize their water efficiency, smart growth, watershed health, and water resiliency goals.
This 2nd edition of the Utah Growing Water Smart curriculum guidebook was prepared for the workshop focused on Northern Utah and held at Utah State University on June 6-8, 2023. This guidebook has four main sections: Planning and Goal …
Preference-Aware Delivery Planning For Last-Mile Logistics, Qian Shao, Shih-Fen Cheng
Preference-Aware Delivery Planning For Last-Mile Logistics, Qian Shao, Shih-Fen Cheng
Research Collection School Of Computing and Information Systems
Optimizing delivery routes for last-mile logistics service is challenging and has attracted the attention of many researchers. These problems are usually modeled and solved as variants of vehicle routing problems (VRPs) with challenging real-world constraints (e.g., time windows, precedence). However, despite many decades of solid research on solving these VRP instances, we still see significant gaps between optimized routes and the routes that are actually preferred by the practitioners. Most of these gaps are due to the difference between what's being optimized, and what the practitioners actually care about, which is hard to be defined exactly in many instances. In …
Gis Data: Prince George’S County, Maryland – Shoreline Inventory Data 2023, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Gis Data: Prince George’S County, Maryland – Shoreline Inventory Data 2023, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:
1) the …
Nonparametric Tests For Replicated Latin Squares, Joseph Yang
Nonparametric Tests For Replicated Latin Squares, Joseph Yang
Dissertations
Two classes of nonparametric procedures for a replicated Latin square design that test for both general and increasing alternatives are developed. The two classes of procedures are similar in the sense that both transform the data so that existing well-known tests for randomized complete block designs can be utilized. On the other hand, the two classes differ in the way that the data is transformed - one class essentially aggregates the data while the other class aligns the data. Within these contexts, the exact distributions and asymptotic distributions are discussed, when applicable. The exact distributions are easily computed using the …
Evaluating The Performance Of Estimators In Sem And Irt With Ordinal Variables, Bo Klauth
Evaluating The Performance Of Estimators In Sem And Irt With Ordinal Variables, Bo Klauth
Dissertations
In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when the variables are ordinal. Other estimators are available. Unweighted least squares and weighted least squares with adjusted mean and variance (ULSMV and WLSMV) are known as the estimators for CFA with ordinal variables (CFA-OV). Another estimator, marginal maximum likelihood (MML), is used in the item response theory (IRT), specifically …
Methodology For Designing Assistive Robots For Activities Of Daily Living Assistance, Javier Dario Sanjuan De Caro
Methodology For Designing Assistive Robots For Activities Of Daily Living Assistance, Javier Dario Sanjuan De Caro
Theses and Dissertations
The growing prevalence of Upper or Lower Extremities Dysfunctions (ULED), often linked to central nervous disorders such as stroke, Spinal Cord Injury (SCI), and Multiple Sclerosis (MS), underscores the urgent need for innovative support solutions. Over 5.35 million Americans currently live with ULED, a situation that places a significant socioeconomic burden on families and society. Despite invaluable support from caregivers and family members, the need for more scalable, practical solutions persists.
Wheelchair-mounted assistive robots emerge as a promising alternative in this context. These devices, offering continuous and reliable assistance, significantly alleviate caregiver fatigue and enhance the independence and quality of …
Fog Harvesting Using Chemically Functionalized Porous Membranes, Afra Saif Alhumaidi
Fog Harvesting Using Chemically Functionalized Porous Membranes, Afra Saif Alhumaidi
Theses
This work explores the use of chemically functionalized porous membranes for fog harvesting. Fog water has emerged as a valuable alternative water source in regions where traditional freshwater resources are scarce. However, conventional fog harvesting techniques often suffer from low collection efficiency and limited scalability. To address these challenges, this research investigates the potential of chemically functionalized porous membranes for enhanced fog water collection. The study focuses on the development and characterization of specialized membranes with surface properties optimized for efficient fog droplet capture.
The current study proposes the use of aluminum mesh for fog collection, as it stands out …
Weird Winter Weather In The Anthropocene: How Volatile Temperatures Shape Violent Crime, Christopher Thomas, Kevin T. Wolff
Weird Winter Weather In The Anthropocene: How Volatile Temperatures Shape Violent Crime, Christopher Thomas, Kevin T. Wolff
Publications and Research
Purpose: Current evidence suggests volatile temperatures are becoming more common because of climate change and can be expected to become even more frequent in the future. By focusing on recent temperature variability, we attempt to estimate one important dimension of the impact of climate change on violent crime. We also explore whether sudden upward temperature anomalies have stronger positive impacts on violent crime in the coldest months of the year, as routine activities are likely to change more drastically during this period.
Methods: This study explores the association between sudden temperature anomalies (both upward and downward) and the daily incidence …
A Survey On Security Analysis Of Machine Learning-Oriented Hardware And Software Intellectual Property, Ashraful Tauhid, Lei Xu, Mostafizur Rahman, Emmett Tomai
A Survey On Security Analysis Of Machine Learning-Oriented Hardware And Software Intellectual Property, Ashraful Tauhid, Lei Xu, Mostafizur Rahman, Emmett Tomai
Computer Science Faculty Publications and Presentations
Intellectual Property (IP) includes ideas, innovations, methodologies, works of authorship (viz., literary and artistic works), emblems, brands, images, etc. This property is intangible since it is pertinent to the human intellect. Therefore, IP entities are indisputably vulnerable to infringements and modifications without the owner’s consent. IP protection regulations have been deployed and are still in practice, including patents, copyrights, contracts, trademarks, trade secrets, etc., to address these challenges. Unfortunately, these protections are insufficient to keep IP entities from being changed or stolen without permission. As for this, some IPs require hardware IP protection mechanisms, and others require software …
What Is The Mathematics In Mathematics Education?, Eva Thanheiser
What Is The Mathematics In Mathematics Education?, Eva Thanheiser
Mathematics and Statistics Faculty Publications and Presentations
In this paper I tackle the question What is the mathematics in mathematics education? By providing three different frames for the word mathematics.
- 1.
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Frame 1: Mathematics as an abstract body of knowledge/ideas, the organization of that into systems and structures, and a set of methods for reaching conclusions.
- 2.
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Frame 2: Mathematics as contextual, ever present, as a lens or language to make sense of the world.
- 3.
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Frame 3: Mathematics as a verb (not a noun), a human activity, part of one’s identity.
After introducing the frames and examining their distinction and their overlap, I discuss their implication …
Exploring The Mass To Light Ratio Of Massive Galaxies With The Rubin Dp0 Preview Dataset, Denvir Joy Higgins
Exploring The Mass To Light Ratio Of Massive Galaxies With The Rubin Dp0 Preview Dataset, Denvir Joy Higgins
Physics
The Vera C. Rubin Observatory will perform the 10-year long Legacy Survey of Space and Time expected to begin in 2024. LSST will cover the Southern Hemisphere, collecting over two million images with an 8.4-meter telescope and 3200-pixel camera. In collaboration with the scientific community and based on the Outer Rim Simulation \citep{heit19}, the Rubin Observatory released a simulated dataset (DP0) of the data that is expected to be in hand at the 5-year mark. Using this simulated dataset, I have explored the number and luminosity of the most massive local galaxies. Using a sample of the brightest, closest galaxies …
A Monte-Carlo Simulation Of Gamma Rays In A Sodium Iodide Detector, Ben Kessler
A Monte-Carlo Simulation Of Gamma Rays In A Sodium Iodide Detector, Ben Kessler
Physics
Gamma rays principally interact with matter through Compton scattering, photoelectric effect, pair production, and triplet production. The focus of this simulation is to study the theoretical energy spectrum created by gamma rays from a Cesium-137 source, which produces gamma photons with an energy of 0.662 MeV. At this energy level, most interactions are results of Compton scatters and the photoelectric effect. Therefore, this simulation only models those two effects on gamma rays. Using Monte Carlo methods and the Metropolis algorithm to sample the probability distributions of the two effects allowed for the simulation of gamma rays in a Sodium Iodide …
Diffusion-Driven Aggregation Of Particles In Quasi-2d Membranes, Oscar Gullickson Rausis
Diffusion-Driven Aggregation Of Particles In Quasi-2d Membranes, Oscar Gullickson Rausis
Physics
Many biological membranes can be modeled as two-dimensional (2D) viscous fluid sheets surrounded by three-dimensional (3D) fluids of different viscosity. Such membranes are dubbed quasi-2D as they exhibit properties of both 2D and 3D fluids. The Saffman length is a parameter that describes the energy exchange between the membrane and bulk fluids and controls the cross-over from 2D to 3D hydrodynamics. We aim to model diffusion-driven aggregation of particles embedded in a quasi-2D membrane. It is known that hydrodynamic interactions between solute particles significantly reduce their aggregation rate in 3D fluids. It is expected that in quasi-2D membranes the reduction …
Optimization Of Flagellar Locomotion In The Low Reynolds Number Regime, Aidan M. Trodden, Aidan M. Trodden
Optimization Of Flagellar Locomotion In The Low Reynolds Number Regime, Aidan M. Trodden, Aidan M. Trodden
Physics
This report investigates the computational and theoretical techniques - modeled by E. Lauga and C. Eloy - used to optimize the shape of an activated flagellum for enhanced cell motility. Cell motility is ubiquitous and has a large affect on biological systems such as marine life ecosystems, reproduction, and infection. The physical principles governing flagellar propulsion are explored using computational fluid dynamics simulations, mathematical modeling, and the sequential quadratic programming (SQP) optimization algorithm. Through iterative refinement, we can identify optimized flagellar shapes that would minimize the energetic cost dependent on a single dimensionless sperm numbers (Sp). The computation of the …
Optimizing Solid Thermal Storage In Insulated Solar Electric Cookers, Stefan Avramov
Optimizing Solid Thermal Storage In Insulated Solar Electric Cookers, Stefan Avramov
Physics
Insulated Solar Electric Cookers, more commonly known by their acronym ISECookers, are an alternative to biomass cooking. The ISECooker in its simplest form is a solar panel connected to a heating element, in contact with a cooking pot in an insulated chamber. An aluminum puck can be heated as solid thermal storage (STS) for increased power and night time cooking. Power was limited to about 500 W by the interface between the STS and cookpot. Powdered graphite and silver were separately applied to increase thermal flow. However, the powdered graphite decreased the thermal flow, while powdered silver decreased the temperature …
Enhanced Methods In Forensic Mass Spectrometry For Targeted And Untargeted Drug Analysis, Dina M. Swanson
Enhanced Methods In Forensic Mass Spectrometry For Targeted And Untargeted Drug Analysis, Dina M. Swanson
USF Tampa Graduate Theses and Dissertations
Forensic science has long used mass spectrometry for the analysis of drugsand metabolites. Traditionally, screening methods consisted of color tests or immunoassay and confirmation methods used gas chromatography with mass spectrometry, which was considered the gold standard for identification. In the last several decades, advances in liquid chromatography with mass spectrometry (LCMS) have brought this technology to the forefront of forensic drug identification. Drug identification in forensic drug chemistry and forensic toxicology has become increasingly challenging due to the rapid increase in illicit drug analogs including novel opioids such as fentanyl analogs. Traditional screening methodologies are often unable to identify …
Exploiting Association Rules Mining To Inform The Use Of Non-Manual Features In Sign Language Processing, Robert G. Smith
Exploiting Association Rules Mining To Inform The Use Of Non-Manual Features In Sign Language Processing, Robert G. Smith
Other Resources
In recent years, the use of virtual assistants and voice user interfaces has become a latent part of modern living. Unseen to the user are the various artificial intelligence and natural language processing technologies, the vast datasets, and the linguistic insights that underpin such tools. The technologies supporting them have chiefly targeted widely used spoken languages, leaving sign language users at a disadvantage. One important reason why sign languages are unsupported by such tools is a requirement of the underpinning technologies for a comprehensive description of the language. Sign language processing technologies endeavour to bridge this technology inequality.
Recent approaches …
Dry Matter Production Of Two Rice Cultivars With Contrasting Root Plasticity Expression Under Different Topographic Conditions Subjected To Soil Moisture Fluctuation, Stella Owusu Nketia, Roel Rodriguez Suralta, Yoshiaka Inukai, Shiro Mitsuya, Mana Kano Nakata, Peter Amoako Ofori, Dinh Thi Ngoc Nguyen, Akira Yamauchi
Dry Matter Production Of Two Rice Cultivars With Contrasting Root Plasticity Expression Under Different Topographic Conditions Subjected To Soil Moisture Fluctuation, Stella Owusu Nketia, Roel Rodriguez Suralta, Yoshiaka Inukai, Shiro Mitsuya, Mana Kano Nakata, Peter Amoako Ofori, Dinh Thi Ngoc Nguyen, Akira Yamauchi
The Philippine Agricultural Scientist
In rainfed lowland rice fields characterized by sloping terrains and the presence of a hardpan in a flat topography, plants are often exposed to soil moisture fluctuation (SMF) stress due to erratic rainfall patterns. Root plasticity is one of the key traits that play important roles in plant adaptation under such conditions. In this study, two contrasting genotypes, KDML105 and IRAT109, were examined to quantify the expression of plasticity in root branching at different positions in the toposequence (TP) and in a flat topography with a hardpan, both without a groundwater table, and subjected to SMF. Results showed that KDML105 …
Corn Cob And Corn Husk Biochars Enhance The Growth Of Corn (Zea Mays L.) In Fertilized Clay Loam Soil, Arsenio D. Bulfa Jr, Gina Villegas Pangga, Amparo M. Wagan
Corn Cob And Corn Husk Biochars Enhance The Growth Of Corn (Zea Mays L.) In Fertilized Clay Loam Soil, Arsenio D. Bulfa Jr, Gina Villegas Pangga, Amparo M. Wagan
The Philippine Agricultural Scientist
Biochar is a carbon (C) rich material that improves soil quality, increases crop yield, and is produced from biomass pyrolysis under a limited oxygen environment. An experiment laid out in a split-plot, a completely randomized design (CRD) and was conducted to investigate the growth responses of corn-to-corn cob biochar (CCB) (15 t ha-1), and corn husk biochar (CHB) (15 t ha-1) in a Lipa clay loam soil (Typic Eutrudepts) applied with organic fertilizer (OF) (10 t ha-1) and inorganic fertilizer [recommended rate (RR):120 N;60 P2O5-60; K2O …
Natural And Anthropogenic Factors Affecting The Development Of Two Highland Agricultural Soils Of Bukidnon, Philippines, Guadalupe D. Calalang, Laurent Bock, Gilles Colinet, Vincent Hallet, Peter Walpole
Natural And Anthropogenic Factors Affecting The Development Of Two Highland Agricultural Soils Of Bukidnon, Philippines, Guadalupe D. Calalang, Laurent Bock, Gilles Colinet, Vincent Hallet, Peter Walpole
The Philippine Agricultural Scientist
This research was conducted in two highland areas of Bukidnon, Philippines: Miarayon, a sub-catchment of the upper Cagayan de Oro River; and Bendum, a sub-catchment of the upper Pulangui River. Due to their pyroclastic parent rock materials, soils in the upper Cagayan de Oro are classified as Andic Cambisol in open and convex positions, and Andic Umbrisol in concave and depressed positions. Soils in the upper Pulangui are classified as Pisoplinthic Acrisol, Ferralic Nitisol, and Acric Nitisol in areas with ultramafic rock parent materials, and Haplic Cambisol with pyroclastic deposits. Element contents in rocks were congruent to the total soil …
Analysis Of Polymer-Coated Bullets Using Spectroscopic Methods, Liana R. Albano
Analysis Of Polymer-Coated Bullets Using Spectroscopic Methods, Liana R. Albano
Student Theses
Polymer-coated bullets have gained popularity because they can reduce the user’s exposure to heavy metals in the ammunition. The synthetic jacket, which surrounds the lead core, is advantageous because it prevents metal-on-metal contact between the bullet and the bore. A challenge for firearms identification is that polymer-coated bullets do not retain unique markings that can be used to identify the gun, the way standard metal-coated bullets do. However, metal-coated bullets will result in a similar challenge if the bullet is too deformed once it is recovered. Another issue is that the composition of the polymer coating was never disclosed by …
Identification Of Different Hair Dyes In Dyed Hair Using Attenuated Total Reflectance (Atr Ft-Ir), Surface Enhancing Raman Spectroscopy (Sers) Techniques, Nicholas Lovera
Identification Of Different Hair Dyes In Dyed Hair Using Attenuated Total Reflectance (Atr Ft-Ir), Surface Enhancing Raman Spectroscopy (Sers) Techniques, Nicholas Lovera
Student Theses
This investigation compares the ability of Attenuated Total Reflection Fourier Transfer Infrared Spectroscopy (ATR FT-IR) and Surface Enhance Raman Spectroscopy (SERS) to identify and differentiate different hair dye brands on dyed hair samples. Hair is a common type of trace evidence found at crime scenes and can provide numerous information through forensic hair analysis. Cosmetic hair treatment such as dying the hair different colors has grown and became popular, thus it can be a very common type of trace evidence. This study can provide a forensic scientist an additional method for analyzing dyed hair samples. The goal was to compare …