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How Al-Farabi’S Interpretative Method Can Engage With Aristotle’S Method In Cognition And Practical Philosophy, Meysam Shirvani Jan 2023

How Al-Farabi’S Interpretative Method Can Engage With Aristotle’S Method In Cognition And Practical Philosophy, Meysam Shirvani

Comparative Philosophy

Following Aristotle, al-Farabi divides philosophy into theoretical and practical each of which requires some specific methodology both in interpretation and cognition. Based on this division, there may arguably be four methodologies for four parts: 1) cognition of theoretical philosophy 2) interpretation of practical philosophy 3) cognition of practical philosophy 4) interpretation of practical philosophy. This paper focuses on the last one: the methodology of interpreting practical philosophy. Al-Farabi has an undeniably significant contribution to practical philosophy as a commentator on Greek philosophy and as a founder. In this paper, I investigate how al-Farabi (870-950 AD) read classical practical philosophy to …

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The Best Confucian Hybrid Meritocracy-Democracy For Liberal Democracies, John J. Park Jan 2023

The Best Confucian Hybrid Meritocracy-Democracy For Liberal Democracies, John J. Park

Comparative Philosophy

Several contemporary Confucian philosophers have posited differing hybrid views fusing meritocracy to democracy. There is a good deal of interest in a meritocracy in contemporary Confucian thought, and such a view perhaps should receive more serious consideration in liberal democratic thought since it may make for a stronger form of government when appended to democracy. In this paper, four contemporary hybrid theorists who combine elements of a meritocracy with a democracy are critically analyzed concerning an ability for their views to be instantiated in liberal democracies for the legislative branch only. Finally, I provide a modified hybrid view for the …

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Ineffability, Emptiness And The Aesthetics Of Logic, Andreas Kapsner Jan 2023

Ineffability, Emptiness And The Aesthetics Of Logic, Andreas Kapsner

Comparative Philosophy

In this essay, I explore the nature of the logical analysis of Buddhist thought that Graham Priest has offered in his book The Fifth Corner of Four (5of4). The paper traces the development of a logical value in- troduced in 5of4, which Priest has called e. The paper points out that certain criticisms I have made earlier still stand, but focuses on a recon- ceptualization of 5of4 in which these arguments carry less weight. This new perspective on the book, inspired by a response to my arguments by Priest himself, sees the logical analysis of Buddhism …

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Dreaming Philosophers: The Daoist And The Metaphysician, Kelly S. Inglis Jan 2023

Dreaming Philosophers: The Daoist And The Metaphysician, Kelly S. Inglis

Comparative Philosophy

Is this just a dream? Daoist philosopher Zhuang Zi and metaphysician Descartes both considered this question but came to very different conclusions. In his Dream Hypothesis, Descartes imagined that all of his beliefs about the external world could be mistaken, which led him to the realization that the only thing that he could be certain of was his own existence: “I think therefore I am.” But what am “I”? “I am a thinking thing”, he said and concluded that the existence of one’s mental self is clear, certain and indubitable, while the existence of a physical world was open …

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On An Average Goldbach Representation Formula Of Fujii, Daniel A. Goldston, Ade Irma Suriajaya Jan 2023

On An Average Goldbach Representation Formula Of Fujii, Daniel A. Goldston, Ade Irma Suriajaya

Faculty Research, Scholarly, and Creative Activity

Fujii obtained a formula for the average number of Goldbach representations with lower-order terms expressed as a sum over the zeros of the Riemann zeta function and a smaller error term. This assumed the Riemann Hypothesis. We obtain an unconditional version of this result and obtain applications conditional on various conjectures on zeros of the Riemann zeta function.

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E-Skills Scarcity And The Digital Records Management Landscape In Zimbabwe, Samson Mutsagondo, Njabulo Bruce Khumalo Jan 2023

E-Skills Scarcity And The Digital Records Management Landscape In Zimbabwe, Samson Mutsagondo, Njabulo Bruce Khumalo

Library Philosophy and Practice (e-journal)

With the adoption of electronic government in Zimbabwe in 2011, more and more government records are now generated, received, used, maintained, preserved and disposed in electronic form. Use of electronic mail records, word-processed documents, audio-visual records and social media records as official government records is now commonplace. This calls for the mobilisation and hiring of records and information managers with requisite electronic skills to manage such records. This article used the theoretical frameworks of the innovation diffusion theory and the skills theory to show the unprecedent rise in use of digital records as well as the importance in acquisition of …

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Classification Of Darknet Traffic By Application Type, Shruti Sharma Jan 2023

Classification Of Darknet Traffic By Application Type, Shruti Sharma

Master's Projects

The darknet is frequently exploited for illegal purposes and activities, which makes darknet traffic detection an important security topic. Previous research has focused on various classification techniques for darknet traffic using machine learning and deep learning. We extend previous work by considering the effectiveness of a wide range of machine learning and deep learning technique for the classification of darknet traffic by application type. We consider the CICDarknet2020 dataset, which has been used in many previous studies, thus enabling a direct comparison of our results to previous work. We find that XGBoost performs the best among the classifiers that we …

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Graphical User Interface For Evidential Reasoning Models, Rohin Gopalakrishnan Jan 2023

Graphical User Interface For Evidential Reasoning Models, Rohin Gopalakrishnan

Master's Projects

The Capri system is an evidential reasoning system based on the belief function calculus to support automated reasoning and decision making in uncertain environments. Example domains of application include, medical diagnosis, as well as identifying biological biomarkers. The purpose of this project is to build a Python web-based and app-based Graphical User Interface (GUI), called PyGrapher, that facilitates building graphical evidential reasoning models. The graphical models built using PyGrapher will then be converted to a form that is suitable for input to the Capri system. The PyGrapher system provides an intuitive means to build and manipulate evidential reasoning models as …

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Homelessness And Taphonomy: A Multidisciplinary Study, Chloë Angst Jan 2023

Homelessness And Taphonomy: A Multidisciplinary Study, Chloë Angst

Master's Theses

In this thesis, I present multidisciplinary research applicable to deceased unhoused individuals in urban San José, California. I present the problem of homelessness through a “hybrid collectif,” a conceptual framework that encompasses the factors that drive homelessness in life and death. I use taphonomic methodology to examine the problem of homelessness in this urban region by experimentation with porcine carcasses in simulated death scenarios. I utilize total body score (TBS), accumulated degree days (ADD), and predictive entomological species identification to examine decomposition trends. I also introduce “human survival scavenging” as an agent of decomposition, provide an account of ecological succession …

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Group-Invariant Reinforcement Learning, Fnu Ankur Jan 2023

Group-Invariant Reinforcement Learning, Fnu Ankur

Master's Theses

Our work introduces a way to learn an optimal reinforcement learning agent accompanied by intrinsic properties of the environment. The extracted properties helps the agent to extrapolate the learning to unseen states efficiently. Out of all the various types of properties, we are intrigued towards equivariant and invariant properties, which essentially translates to symmetry. Contrary to many approaches, we do not assume the symmetry, rather learn them, making the approach agnostic to the environment and the property. The learned properties offers multiple perspective of the environment to exploit it to benefit decision making while interacting with the environment. By building …

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Electronic And Optical Properties Of 2d Materials And Their Van Der Waals Heterostructures Using Density Functional Theory, Paridhi Bisht Jan 2023

Electronic And Optical Properties Of 2d Materials And Their Van Der Waals Heterostructures Using Density Functional Theory, Paridhi Bisht

Master's Theses

Layered 2D materials offer unique physical and chemical properties, including high surface area-to-volume ratios, layer-dependent electronic and optical traits, and scalability. Transition metal dichalcogenides (TMDs) represent a versatile class within 2D materials, with metals, semiconductors, insulators, and superconductors. Weak van der Waals forces between layers enable easy exfoliation and stacking for vertical heterostructures, promising electronic and optical device manipulation. This thesis investigates monolayer graphene, h-BN, MoTe2, WTe2-2H, WTe2-1T', and their heterostructures using DFT-based calculations. Results show stable heterostructures, particularly Gr/WTe2-2H as a Schottky n-type junction for FETs and magnetoresistance devices. Strain-induced bandgap modulation and redshifts offer potential for bandgap engineering …

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Thinking Styles, Conspiracist Belief, And The Mediating Role Of The Dunning-Kruger Effect In Modeling Belief Change, Lucas C. Cusano Jan 2023

Thinking Styles, Conspiracist Belief, And The Mediating Role Of The Dunning-Kruger Effect In Modeling Belief Change, Lucas C. Cusano

Master's Theses

Why can a person believe something for which there is no evidence and yet also fail to believe something for which there is overwhelming evidence? This study develops a structural model of belief change using the latent constructs of thinking styles and conspiracist belief while accounting for the Dunning-Kruger effect (i.e., overconfidence in one’s knowledge the less one knows about a topic) as a mediator. A combined two-hundred and twenty-six participants from both Amazon’s Mechanical Turk and the introductory psychology SONA subject pool were given two knowledge measures on topics of genetic modification and vaccination before and after reading refutational …

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Evaluating The Effect Of Resveratrol On Sirt1 With Different Peptide Substrates, Yujin Hur Jan 2023

Evaluating The Effect Of Resveratrol On Sirt1 With Different Peptide Substrates, Yujin Hur

Master's Theses

SIRT1 is an NAD+-dependent lysine deacetylase that is involved in many important cellular pathways. The protein has an extended N-terminal domain that seems to play a role in regulating its activity. Sirtuin Activating Compounds (STACs) are allosteric activators, such as resveratrol, that regulate the activity of SIRT1. STACs bind to the N-terminal STAC Binding Domain (SBD) in SIRT1. Past literature has found that SIRT1 activity can be increased, decreased, or remain unchanged by resveratrol depending on the identity of the peptide substrate. The goal of this study is to clarify the mechanism for substrate-specific allosteric regulation by resveratrol. The interactions …

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Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone Jan 2023

Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone

Master's Theses

Predicting future climate change relies on accurate representations of the earth’s surface radiation budget. Complex interactions between large-scale dynamical conditions (e.g., low-pressure systems) and microscale processes (e.g., cloud properties) are key contributors to energy budget biases within global climate models. Proper estimation of cloud microscale processes and their responses to synoptic-scale dynamics will greatly improve the accuracy of the simulated energy balance within global climate models. High-latitudinal clouds have significant influences on the Earth’s radiative balance. We examined observations from two field campaigns at Macquarie Island in the Southern Ocean and McMurdo Station in Antarctica. Two global climate models are …

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Characterization And Evaluation Of Catalytic Activity Of Small Molecule Copper Complexes For Metallopolymer Design, Brenda Lu Jan 2023

Characterization And Evaluation Of Catalytic Activity Of Small Molecule Copper Complexes For Metallopolymer Design, Brenda Lu

Master's Theses

Catalysis is one of the driving forces in designing greener chemical processes for essential real-world applications. Enzymes, Nature’s catalysts, are known for their high selectivity, use of readily available metals and reagents, and ability to work under physiological conditions; three important qualities that synthetic chemists would like to mimic in their small molecule metal catalysts. Though most small molecule metal catalysts fall short of enzyme-like activity, we hypothesize that using a polymer scaffold as a secondary coordination sphere mimic around the metal complex will affect the microenvironment (steric and electronic) and enable enzyme-like activity. Previously, we synthesized ligand precursors and …

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Melt Inclusion Record Of Submarine Caldera Formation On Axial Seamount, Juan De Fuca Ridge, Destiny Kapule Jan 2023

Melt Inclusion Record Of Submarine Caldera Formation On Axial Seamount, Juan De Fuca Ridge, Destiny Kapule

Master's Theses

This study contributes to understanding magmatic processes and the plumbing system of submarine volcanoes before, during, and after caldera formation with the use of melt inclusions (MIs). Major, trace and volatile geochemistry from both olivine and plagioclase-hosted MIs taken from volcaniclastic deposits around Axial Seamount reveal information about the storage conditions, ascent rates and eruption styles of magmas. Magma crystallizes in the subsurface, capturing MIs, and ascends where some host glasses may interact with seawater during eruption. Oversaturation in volatiles and low vesicularity show quick ascent rates. By analyzing chemical data within a pre-existing stratigraphic context this study can assess …

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Optimizing Soluble Recombinant Expression Of The Aedes Aegypti Early Trypsin Protease, Neomi Millan Jan 2023

Optimizing Soluble Recombinant Expression Of The Aedes Aegypti Early Trypsin Protease, Neomi Millan

Master's Theses

The female Aedes aegypti mosquito is a primary vector for the transmission of blood–borne viral pathogens such as Chikungunya, Zika, Yellow Fever, and Dengue. The female mosquito will become infected with these pathogens through the uptake of a blood meal from an infected host. The midgut digestive enzymes are required to digest the blood meal to obtain necessary nutrients needed for the completion of the gonotrophic cycle. Blood meal digestion is biphasic and digestive enzymes are expressed at different time points after uptake of a blood meal. The focus of this study is on an early phase protease known as …

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Interdependence Of Salt Concentration And Filler Particles On Crystallinity And Mechanical Behavior Of Peo-Litfsi Electrolytes For Lithium-Ion Batteries, Valeria Perez Jan 2023

Interdependence Of Salt Concentration And Filler Particles On Crystallinity And Mechanical Behavior Of Peo-Litfsi Electrolytes For Lithium-Ion Batteries, Valeria Perez

Master's Theses

Developing composite polymer electrolytes is crucial for enhancing the safety, energy density, and performance of lithium-ion batteries. While it is widely accepted that introducing filler particles in PEO-based electrolytes can reduce crystallinity and enhance ionic conductivity, this conventional understanding applies primarily to electrolytes with high lithium salt concentrations. The hypothesis of this investigation is that the crystallinity change induced by LLZTO ceramic particles in PEO-LiTFSI electrolytes is contingent on the EO:Li molar ratio. This hypothesis is interrogated by measuring changes in crystallinity, spherulite morphology, and stiffness of composite polymer electrolytes with two different EO:Li molar ratios using differential scanning calorimetry, …

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Quantifying Bromocarbon Emissions From Seaweed Aquaculture In California, Jessica C. Metter Jan 2023

Quantifying Bromocarbon Emissions From Seaweed Aquaculture In California, Jessica C. Metter

Master's Theses

Feeding ruminant livestock seaweed rich in bromoform (CHBr3) is an emerging strategy to reduce methane emissions from the livestock sector to meet climate targets. Consequently, there is a strong interest in farming bromoform rich seaweeds (e.g., Asparagopsis taxiformis) on a large scale which may impact the atmospheric inventory of bromine and in return induce catalytic ozone destruction. However, to date, only three studies have measured bromoform emission rates from Asparagopsis seaweeds which vary by order of magnitude. To fill this gap, the most comprehensive data set of bromocarbon emissions from A. taxiformis, a leading candidate for enteric methane reduction in …

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Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo Jan 2023

Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo

Master's Theses

Cirrus clouds are located at high altitudes and are composed of ice crystals. The unique location of cirrus clouds and their large variability in-cloud microphysical properties allow them to have either warming or cooling effects on Earth’s surface and affect the Earth’s energy budget on a global scale. The examination of cirrus radiative effects is further complicated by multiple factors affecting their formation and evolution, including the effects of thermodynamic, dynamic, aerosol, and chemical tracer variables. In this work, we developed a composite aircraft-based in-situ observation dataset based on seven National Science Foundation (NSF) and five NASA flight campaigns that …

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Micro-Scale Laser-Induced Fluorescence Thermometry For Multiphase Flow In Porous Media, Samuel J. Simmons Jan 2023

Micro-Scale Laser-Induced Fluorescence Thermometry For Multiphase Flow In Porous Media, Samuel J. Simmons

Master's Theses

In this thesis the use of Laser-Induced Fluorescence (LIF) thermometry was evaluated as a temperature measurement for multiphase flow in porous media. This optical temperature measurement technique utilizes the temperature-dependent emissive properties of fluorescent dyes to measure temperature. This research evaluates the accuracy, spatial resolution, and temporal resolution of LIF thermometry compared to existing temperature measurements. In this research water-soluble and oil-soluble fluorescent dyes are evaluated in terms of their temperature sensitivity. The ability of these dyes to measure temperature is compared to an Ansys FEA simulation of a fixed temperature gradient. For multiphase flow, the fluorescent dyes were both …

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The Statue That Started It All: The Aphrodite Of Knidos, Amereece Sterba Jan 2023

The Statue That Started It All: The Aphrodite Of Knidos, Amereece Sterba

Master's Theses

In this thesis, I argue that The Aphrodite of Knidos statue has had a significant impact on the perception of the female nude in art throughout history because of this statue's iconic nature; it lent itself to be easily copied by artists, which has allowed artists to alter the Knidian image for cultural purposes. This thesis explores why this statue became the canon in Antiquity and continued to be replicated in subsequent eras. The first chapter examines how Praxiteles created the formula that would become the canon. By looking at Knidian and other ancient statues that take inspiration from the …

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Cloud Phase Distribution At A Global-Scale And The Governing Factors Using Satellite And In-Situ Airborne Observations, Dao Wang Jan 2023

Cloud Phase Distribution At A Global-Scale And The Governing Factors Using Satellite And In-Situ Airborne Observations, Dao Wang

Master's Theses

Cloud thermodynamic phase distributions play a crucial role in accurately representing cloud radiative effects and feedback in a changing climate. The partitioning of cloud thermodynamic phases (ice, liquid, and mixed phase) significantly influences Earth's surface temperature and its ability to mitigate the impact of global warming. Satellite-based cloud phase data are frequently used for the evaluation of global climate models, yet validation of them against in-situ observations is still lacking. This study examines global cloud phase distributions and their determinant factors by validating three satellite-based cloud phase products against an extensive in-situ airborne dataset. CALIPSO exhibits the most similar ice …

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Graph Based System For Evidential Reasoning, Divyarajsinh Chauhan Jan 2023

Graph Based System For Evidential Reasoning, Divyarajsinh Chauhan

Master's Projects

In the modern data driven world, graph editing tools have become very essential as they provide means to understand, visualize and manipulate complex relationships between various datasets. They have especially played a crucial role in the space of evidential reasoning, where it has made a significant impact in the decision making process by developers, analysts and researchers to understand and represent the connection in the data. Existing tools fail to handle huge amounts of data efficiently and also don’t have the features required to handle tasks related to evidential reasoning.To address these gaps, we developed Pygrapher Web UI tool. We …

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Prediction Of 2024 Indian Pm Election Results Using Sentiment Analysis On Twitter Data, Surabhi Gupta Jan 2023

Prediction Of 2024 Indian Pm Election Results Using Sentiment Analysis On Twitter Data, Surabhi Gupta

Master's Projects

This sentiments analysis study presents a methodical approach to predict the 2024 Indian Prime Minister Election. Data collected spanning from 2020 to 2023 from Twitter using hashtags such as IndianPMElection2024 and on topics such as the revocation of the special status of Jammu and Kashmir, the Farm Bill, and the Digital India initiative, form the core of this research. We utilized a combination of sentiment extraction tools-namely, the NLP Town's Bidirectional Encoder Representations from Transformers (BERT)-based multilingual uncased sentiment model, Valance Aware Dictionary for Sentiment Reasoning (VADER), and TextBlob. Additionally, we used a well-established machine learning model Naive Bayes, deep …

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A Data Delivery Mechanism For Disconnected Mobile Applications, Shashank Hegde Jan 2023

A Data Delivery Mechanism For Disconnected Mobile Applications, Shashank Hegde

Master's Projects

Previous attempts to bring the data of the internet to environments that do not have continuous connectivity to the internet have made use of special hardware which requires additional expenditure on installation. We will develop a software-based infrastructure running on existing Android smartphones to exchange application data between a disconnected user’s phone and corresponding application servers on the internet. The goal of this project is to implement client and server modules for this infrastructure to run on a disconnected phone and the internet respectively. These modules will multiplex application data to be sent into packages and distribute the data present …

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Automated Evaluation For Distributed System Assignments, Nimesh Nischal Jan 2023

Automated Evaluation For Distributed System Assignments, Nimesh Nischal

Master's Projects

A distributed system can exist in numerous states, including many erroneous permutations that could have been addressed in the code. As distributed systems such as cloud computing and microservices gain popularity, involving distributed com- puting assignments is becoming increasingly crucial in Computer Science and related fields. However, designing such systems poses various challenges, such as considering parallel executions, error-inducing edge cases, and interactions with external systems. Typically, distributed assignments require students to implement a system and run multiple instances of the same code to behave as distributed. However, such assign- ments do not encourage students to consider the potential edge …

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Ubiquitous Application Data Collection In A Disconnected Distributed System, Deepak Munagala Jan 2023

Ubiquitous Application Data Collection In A Disconnected Distributed System, Deepak Munagala

Master's Projects

Despite some incredible advancements in technology, a significant population of the world does not have internet connectivity. These people lack access to crucial information that is easily available to the rest of the world. To solve this problem, we implement a Delay Tolerant Network (DTN) that allows users in disconnected regions access to the internet. This is enabled by collecting all data requests on the users’ phones and passing them to a device that can carry them to a connected region. This device can then collect the necessary information and give it back to the users in the disconnected region. …

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Graph Deep Learning Based Hashtag Recommender For Reels On Social Media, Sriya Balineni Jan 2023

Graph Deep Learning Based Hashtag Recommender For Reels On Social Media, Sriya Balineni

Master's Projects

Many businesses, including Facebook, Netflix, and YouTube, rely heavily on a recommendation system. Recommendation systems are algorithms that attempt to provide consumers with relevant suggestions for items such as movies, videos, or reels (microvideos) to watch, hashtags for their posts, songs to listen to, and products to purchase. In many businesses, recommender systems are essential because they can generate enormous amounts of revenue and make the platform stand out when compared to others. Reels are a feature of the social media platforms that enable users to create and share videos of up to sixty seconds in length. Individuals, businesses, and …

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Rideshare Using Degrees Of Separation: A Social Network-Based Approach, Gokul Garikipati Jan 2023

Rideshare Using Degrees Of Separation: A Social Network-Based Approach, Gokul Garikipati

Master's Projects

Conventional ride-sharing services, such as Lyft and Uber, routinely match drivers with riders based on their proximity to each other, using GPS coordinates and mapping technology. The application then calculates the cost of the ride based on factors such as distance traveled and time spent in the car. The concept of six degrees of separation suggests that a maximum of 6 steps or relationships can connect any two individuals in the world. This idea could be applied to a ride-share service to provide a more personalized and efficient experience for users. Instead of just matching riders with drivers based on …

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