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Solar-Powered Microgrids In Northern California: An Opportunity For Resilience, Marina Riddle

Master's Projects and Capstones

Planned and unplanned power outages have been increasing in frequency and duration, negatively impacting all public sectors, and threatening public safety. These outages are deadly to those who rely on medical devices. As climate change-fueled extreme weather events (wildfires, earthquakes, storms, etc.) also increase in frequency, our electrical grid must be prepared to bounce back. Microgrids provide necessary redundancy and reliability. Through a novel GIS suitability analysis, based on solar radiation, land use type, local energy demand, distance to transmission lines, distance to roads, and slope, optimal locations for solar-powered microgrids throughout Northern California were determined. The counties of Fresno, …

Biomechanics Of The Tip-Back Bend: An Analysis Of The Force System Via Translational Research, Lyndzie Brace

Theses & Dissertations

Purpose: The purpose of this study was to 1. experimentally (in vitro) quantify the force system acting on the molar and the incisor when a tip-back bend is placed on an auxiliary spring mounted on a base archwire and create a prediction model 2. to compare the type of tooth movement obtained from the prediction model (in-vitro) and the clinical outcome (in-vivo) data obtained from a previously conducted clinical trial. Methods: A computerized 3-dimensional (3D) orthodontic force tester (OFT) was used to quantify and compare the force systems generated from different combinations of tip-back bend archwires and base …

Optimal Tax Theory For Investment In Human Capital And The Role Of Family, Sylwia Radomska

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: Parents spend more than half of all education expenditures on children’s education, thus the role of the family cannot be omitted in determining the optimal educational policy. The main aim of the article is to present economic literature on optimal taxation with human capital, focusing on studies concerning the impact of the family (parents) on the investment in children’s human capital. Design/Methodology/Approach: Insights from two workhorses are reviewed: the RAMSEY approach and the MIRRLEES approach. The literature in the field considers two instruments: Income-Contingent Loans (ICL) and Education Subsidies (ES). Results from theoretical and simulation studies are summarized. Findings: …

Interactive Effects Of Sublethal Concentrations Of Fracking Biocides And Abandoned Mine Drainage On Amphipod Behavior, Kelly Lenhart

Electronic Theses and Dissertations

This thesis examined the sublethal effects of three pollutants, namely glutaraldehyde, 4,4-dimethyloxazolidine (DMO), and abandoned mine drainage (AMD), on amphipods. The primary objective was to investigate their combined effects on amphipods. The three pollutants, despite having the potential to combine in the environment, have not been studied to determine their potential for detrimental interactive effects which could result in unexpected environmental damage.

The research employed a series of experimental setups involving controlled exposure of amphipods to varying, putatively sublethal, concentrations of the chemicals of interest. Subsequently, effects were assessed via both behavioral and feeding assessments. To facilitate this analysis, novel …

Ascot App, Milla Penelope Markovic

Honors Thesis

The Ascot App is a research tool for acquiring and analyzing data. The app comprises of both mobile and web platforms, each serving a unique purpose. The mobile side allows users to input data through the app’s form, which is uploaded to a database for further processing and analysis. The web app, which is still under development as of April of 2024, allows users to manage their research project and download data in the form of a parsed CSV. These components ensure a seamless process for research teams to record data with persistence and security while allowing for analysis.

Ascot …

Toughness Of Recursively Partitionable Graphs, Calum Buchanan, Brandon Du Preez, K. E. Perry, Puck Rombach

Theory & Applications of Graphs

A simple graph G = (V,E) on n vertices is said to be recursively partitionable (RP) if G ≃ K1, or if G is connected and satisfies the following recursive property: for every integer partition a₁, a₂, . . . , a_k of n, there is a partition {A₁,A₂, . . . ,A_k} of V such that each |A_i| = a_i, and each induced subgraph G[A_i] is RP (1 ≤ i ≤ k). We show that if S is a …

Introduction To Physics, Kalani Hetti

Open Educational Resources

Introduction to physics, class code PHY 114 at college of Staten Island covers general physics concepts by using very simple algebraic calculations. Topics may include scientific measurements, significant figures, estimation, units, linear and rotational motion, vectors, forces, energy, momentum, collision, impulse, projectile motion, circular motion, thermodynamics, oscillating waves, electricity and magnetism, properties of lights, reflection, refraction, atomic nuclei, and radioactivity. This course is designed to teach general concepts and laws of physics to everyday life enforcing student’s critical thinking, logical patterns, organization, and everyday life applications. In this document, all the class materials including lectures, worksheets, homework assignments, quizzes, and …

Tipping The Mesoscales: Advances In Multipeak Bragg Coherent Diffraction Imaging, J. Nicholas Porter

Theses and Dissertations

Material failure begins with strain between atoms and cascades upward into macroscopic damage such as cracks. Therefore, our ability to predict (and therefore prevent) material failure is largely limited by our understanding of this process. This understanding, however, has been impeded by the difficulty of directly observing such phenomena. In this thesis, I discuss recent advances in Bragg coherent diffraction imaging (BCDI) which produce three-dimensional, mesoscopic images of interior strain in microcrystals. In particular, I present a novel algorithm, based on the concept of cyclic-constrained optimization (CCO), for the rapid, coupled reconstruction of a microcrystal from multiple Bragg diffraction patterns. …

Women, Nationalism, And Social Networks In The Habsburg Monarchy, 1848–1918, Marta Verginella

Central European Studies

Women, Nationalism, and Social Networks in the Habsburg Monarchy, 1848–1918 focuses on the lives of women in Southeastern Europe during the nineteenth and twentieth centuries, exploring the intersection of gender and nationalism. By looking at a wide range of sources and employing rich historiography, this collection investigates the currents of women’s emancipatory efforts in a climate of conflicting assumptions relating to nationhood and nationalization. This book sheds light on a time when both women and nations were working to assert themselves, and how women promoted the national cause in an attempt to assume stronger roles in the public sphere. The …

Observed Impacts Of Large Wind Farms On Grassland Carbon Cycling, Donghai Wu, Steven M. Grodsky, Wenfang Xu, Naijing Liu, Rafael M. Almeida, Liming Zhou, Lee M. Miller, Somnath Baidya Roy, Geng Xia, Anurag A. Agrawal

School of Earth, Environmental, & Marine Sciences Faculty Publications

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Understanding The Psychological Significance Of Astrology In Millennial Women's Lives, Rachel June Floyd

Electronic Theses and Dissertations

In North America, astrology has been experiencing a resurgence in popularity. This is immediately remarkable given that the United States and Canada are industrialized, modern societies where astrology is widely lamented as a pseudoscience. This dissertation presents a phenomenological exploration of the underlying reasons for this cultural trend, particularly among the demographic that uses it most: millennial women. Existing psychological literature on astrology is primarily dominated by correlational studies or historical analyses and lacks the depth and richness of direct experiences of individuals engaging with this phenomenon. This study sought to address this gap within psychological literature specifically, by conducting …

An Empirical Study Of Machine Learning Techniques For Accurate Stock Price Forecasting, Daniel Paliulis, Hari Patchigolla

Honors Scholar Theses

This paper presents a comprehensive approach to predicting future stock prices of companies using machine learning and time series analysis. The research problem is centered around addressing the complexity and emotion-driven nature of stock investment decisions. To create an objective determinant in stock decisions, we propose a machine learning model utilizing time series data from major companies, including Amazon, Apple, Google, Nvidia, Meta, Tesla, Salesforce, Intel, and Microsoft. We explore the use of Long Short-Term Memory (LSTM) neural networks, to capture the temporal dynamics of stock prices. These models are designed to process sequential data, maintaining short term and long …

Enhancing Wettability Prediction In The Presence Of Organics For Hydrogen Geo-Storage Through Data-Driven Machine Learning Modeling Of Rock/H2/Brine Systems, Zeeshan Tariq, Muhammad Ali, Nurudeen Yekeen, Auby Baban, Bicheng Yan, Shuyu Sun, Hussein Hoteit

Research outputs 2022 to 2026

The success of geological H2 storage relies significantly on rock–H2–brine interactions and wettability. Experimentally assessing the H2 wettability of storage/caprocks as a function of thermos-physical conditions is arduous because of high H2 reactivity and embrittlement damages. Data-driven machine learning (ML) modeling predictions of rock–H2–brine wettability are less strenuous and more precise. They can be conducted at geo-storage conditions that are impossible or hazardous to attain in the laboratory. Thus, ML models were utilized in this research to accurately model the wettability behavior of a ternary system consisting of H2, rock minerals (quartz and mica), and brine at different operating geological …

Optimization Of Transition-Metal Inclusive Carbon Aerogels For Electrochemical Energy Applications, Allen Dalton Davis

Electronic Theses & Dissertations

The ever-growing need for energy alongside rising concerns for climate change demands the development of renewable energy technologies. Hydrogen fuel cells are a promising technology that can serve to either supplement energy generation or act as a lone power source. Yet for these devices to be truly green, the hydrogen that serves as fuel must be procured from a renewable resource. Electrolytic water splitting is a process that allows for the dissociation of water into H₂ and O₂. For this process to be practical, the electrolyzer needs to demonstrate high efficiency and stability, as well as a …

Microplate-Like Metal Pyrophosphate Engineered On Ni-Foam Towards Multifunctional Electrode Material For Energy Conversion And Storage, Rishabh Srivastava

Electronic Theses & Dissertations

High clean energy demand, dire need for sustainable development, and low carbon footprints are the few intuitive challenges, leading researchers to aim for research and development for high-performance energy devices. The development of materials used in energy devices is currently focused on enhancing the performance, electronic properties, and durability of devices. Tunning the attributes of transition metals using pyrophosphate (P₂O₇) ligand moieties can be a promising approach to meet the requirements of energy devices such as water electrolyzers and supercapacitors, although such a material’s configuration is rarely exposed for this purpose of study.

Herein, we grow …

Exploring Soybean Oil-Based Polyol And Effect Of Non-Halogenated Flame Retardants In Rigid Polyurethane Foam, Sahithi Kondaveeti

Electronic Theses & Dissertations

To address the increasing demand for sustainable biomaterials due to the depletion of fossil fuel resources and growing environmental concerns, a new type of biodegradable and environmentally friendly rigid polyurethane foam (RPUF) has been synthesized. These foams are derived from chemically modified soybean oil-based polyol obtained from soybean oil by epoxidation followed by a ring-opening reaction. Polyurethane foam is generally used in construction, furniture, and automobile industries but is highly flammable and releases toxic gases and smoke during combustion. In this study, a highly efficient synergistic effect halogen-free flame-retardant (FR) melamine salt, 2-carboxyethyl(phenyl)phosphinic acid melamine salt (CMA) was synthesized from …

Enhanced Mechanical Strength Of Soybean Oil-Based Non-Isocyanate Polyurethane Adhesive For Wood Application By Introducing Nanofillers, Vatsal Chaudhari

Electronic Theses & Dissertations

Polyurethane (PU) is a versatile material that finds extensive use in various industries including bedding, construction, automotive, and packaging. Historically, this particular polymer relied significantly on petrochemical resources, a practice that was considered to have negative environmental impacts. The conventional method for preparing PU involves the use of isocyanate, which is a disadvantage due to its negative impact on the environment and human health. The resolution of this problem entails identifying an appropriate substitute for petroleum-derived products that minimize their impact on both the environment and human health. The researchers earlier utilized soybean oil, for the formulation of PUs in …

Castor Oil Polyol-Based Adhesives With Additional Crosslinker For Improvement In Mechanical And Thermal Properties., Yash Desai

Electronic Theses & Dissertations

Polyurethanes (PU) have been promising polymeric materials with many applications, including adhesives. Projecting an estimated revenue from 42.8 billion $ in 2021 to 61.5 billion $ by 2026. However, a large number of PU adhesives are sourced from petroleum products. Therefore, to lower the dependence on non-renewable resources and provide sustainable and affordable alternatives. In this work will synthesize bio-based adhesives of polyurethane from modified castor oil-based polyol. Generally, polyurethane reaction depends on the properties of polyol and isocyanates. The most important aspect of these reactions is the OH number of the polyol, which is responsible for the crosslinking and …

Modeling Of Frontal Polymerization Of Carbon Fiber And Dicyclopentadiene Woven Composites With Stochastic Material Uncertainty, Ahmadreza Mohammad Sharifi, Dong-Jun Kwon, S. Z. H. Shah, Juhyeong Lee

Mechanical and Aerospace Engineering Faculty Publications

A novel finite element modeling framework is proposed for simulating dicyclopentadiene (DCPD) frontal polymerization in carbon fiber (CF) woven composites. A mesoscale CF/DCPD representative volume element (RVE) model was developed with two triggering directions, resulting in out-of-plane and in-plane DCPD polymerization. The Arrhenius equation coupled with a modified Prout-Tompkins autocatalytic model was used to evaluate the dynamic DCPD polymerization process. The rate and degree of DCPD cure were calculated by the material property uncertainties of DCPD with and without random void inclusions (3% used as a reference in this work). The DCPD frontal polymerization in CF/DCPD composite was strongly influenced …

A Silent New Threat To The Trans Community: The Unregulated Use Of Ai Without Public Consent Raises Ethical Concerns, Eduardo Salazar Uribe

Capstones

Abstract:

The unregulated use of artificial intelligence (AI) without public consent has raised ethical concerns, particularly affecting marginalized communities such as transgender individuals. This project, based on interviews with 34 transgender people, explores the impact of AI on historically marginalized minorities, emphasizing the urgent need for an ethical and legal framework. This research reveals instances of discrimination and challenges faced by transgender individuals at various stages, from border control to airport security, highlighting the limitations and biases of AI in recognizing diverse gender identities. Trans rights activists, and AI experts remark the importance of inclusivity in AI development and regulation. …

Supplementary Information On Early-Stage Floating Offshore Wind Platform Designs, Emma Edwards, Anna Holcombe, Scott Brown, Edward Ransley, Martyn Hann, Deborah Greaves

Faculty of Science and Engineering Datasets

This document serves as supplementary information to the authors' review paper on early-stage floating offshore wind turbine (FOWT) platform designs. The review paper is the second part in a study on FOWT platform designs, following a review of FOWT platforms which currently have or have previously had a prototype, demonstration, or farm scale project at-sea. The present review covers 86 past and current early-stage platform designs, ranging from early conceptual designs to platforms which have undergone lab tests simulating extreme conditions. In this supplementary information document, more details are provided about all 86 platforms reviewed. For each device, the following …

A Novel Application Of The Coras Framework For Ensuring Cyber Hygiene On Shipboard Radar, Gizem Kayisoglu, Pelin Bolat, Kimberly Tam

School of Engineering, Computing and Mathematics

No abstract provided.

Crank Shaft Road Electromagnetic Road Energy Harvester For Smart City Applications, Niloufar Zabihi, Zewen Gu, Mohamed Saafi

School of Engineering, Computing and Mathematics

This paper addresses the issue of providing cheap and on-demand electricity to low-power devices and sensors of smart cities and infrastructures. A new design for an electromagnetic road energy harvester is proposed, and its performance is evaluated through numerical simulations and experiments. The new method can generate sufficient electricity to run the low-power facilities of the smart cities in real-time and provide enough power for further applications using energy storage devices. Unlike the current road energy harvesters, the new harvester has a compact design, negligible mismatch risk between the components, and is more compatible with high-speed roadways. It can be …

On The Selection Of Design Waves For Predicting Extreme Motions Of A Floating Offshore Wind Turbine, S. A. Brown, T. Tosdevin, S. Jin, M. Hann, D. Simmonds, D. M. Greaves

School of Engineering, Computing and Mathematics

Governments worldwide are setting ambitious targets for renewable energy sources as a response to the ongoing climate crisis, leading to increased investment in offshore wind. While fixed wind structures have restrictive water depth limitations, floating devices are being developed to harness the resource in deeper waters. As part of this development, accurate prediction of ultimate loads and platform motions is crucial for survivability and cost-competitiveness. Present design standards rely on time-consuming methodologies based on irregular sea state data to determine design loads. ‘Short design waves’ are a potential solution to speed up the process by simulating short wave profiles that …

Confined Feni Alloy Nanoparticles In Carbon Nanotubes For Photothermal Oxidative Dehydrogenation Of Ethane By Carbon Dioxide, Jinqiang Zhang, Meng Li, Xiaojie Tan, Lei Shi, Kun Xie, Xiaoli Zhao, Shuaijun Wang, Shiyong Zhao, Huayang Zhang, Xiaoguang Duan, Haijun Chen, Yuezhao Zhu, Mingbo Wu, Hongqi Sun, Shaobin Wang

Research outputs 2022 to 2026

Oxidative dehydrogenation of ethane with CO2 (ODEC) is an attractive reaction for reduction of carbon footprints and ethene production. In this work, we present photothermal catalysis on confined bimetal catalysts for ODEC. Carbon nanotubes confined non-noble bimetal alloy (i.e., CoNi@CNTs and FeNi@CNTs) catalysts were prepared and FeNi@CNTs showed effective performance in photothermal catalytic ODEC to ethene. Experiments and simulations reveal that UV and visible lights (420 – 490 nm) are responsible for ODEC and non-oxidative dehydrogenation of ethane, respectively, to ethene. Additionally, ODEC to ethene is preferred to C-C cracking to methane on FeNi@CNTs in light ( > 490 nm)-induced thermocatalysis. …

The Level Of Linguistic Intelligence Among Middle School Students And Its Relationship Motivation To Learn Arabic, Mahmoud Hilal Abdel Baset Abdel Qader

Alustath Journal for Human and Social Sciences

The current study aimed to reveal the level of linguistic intelligence of the third intermediate grade students and its relationship to motivation to learn the Arabic language. To achieve this goal, the study tools were prepared, which were: a measure of linguistic intelligence, a measure of motivation to learn the Arabic language, then ensuring the validity and reliability of the tools, then selecting a study sample of third grade students in the city of Abha, Saudi Arabia, then applying the research tools, then Statistical analysis, interpretation of results, and presentation of recommendations and proposals. The results showed: a low level …

The Effect Of Instructional Design According To Neural Branching Strategies For Acquisition Of Biological Concepts And Analytical Thinking Skills For The Third Intermediate Grade Students, Haifa Adnan Maikhan, Haifa Ghazi

Alustath Journal for Human and Social Sciences

The aim of the research is to identify the impact of instructional design According to Neural Branching strategies for Acquisition of biological concepts and analytical thinking skills for the third intermediate grade students, To achieve the objective of the research, the researcher adopted the experimental design with partial control, The research sample consisted of (62) students from the third intermediate grade, (32) students in the experimental group who studied according to the instructional design of divergent thinking strategies, and (30) students in the control group who studied according to the usual method, Equivalence was made between the two groups in …

Independent Writing At The Kindergarten Level, Carley K. Andrus

Masters Projects

Abstract

Writing has become an important component of literacy instruction in early childhood classrooms. Young learners are being faced with challenges in writing workshops, leaving them unable to develop age appropriate work on their own. Research was done to further the understanding for teachers and administration on the important strategies that will support student writing. Studies have found that peer instruction, oral language and self regulation strategies are all important factors when developing student independence. In order to have students meet the high demanding literacy standards, teachers need to feel comfortable and confident in their practices. This project can assist …

Fort Hays State University Tiger Weekly, December 15, 2023, University Relations

Tiger Weekly Newsletters

No abstract provided.

American Institution Of Public, K-12 Education: An Institutional Field Under A Complexity Paradigm, Jennifer Jean Joyalle

Dissertations and Theses

Institutional fields serve as foundational bedrocks that shape and govern behaviors, norms, and practices within distinct domains of societal and organizational interactions. The emergence of machine learning and the ability to manipulate large datasets offer researchers and decision makers the potential ability to model and visualize the behavior associated with institutional fields.

This proof of concept provides an example of visualizing the changing conditions in the institutional field of public K-12 education in America as a topology. By interweaving three primary strands of theory -- institutional fields, complexity in the guise of complex adaptive systems as a paradigm, and paradigms …