An Ecofeminist Critique of Western Hunting Practices

Description
Extensive feminist work has discussed the various forms of oppression that are enacted on marginalized genders by men to reify their masculine identity. Ecofeminists, who posit that oppression against women, animals, and the environment is interconnected, have expanded the feminist

Extensive feminist work has discussed the various forms of oppression that are enacted on marginalized genders by men to reify their masculine identity. Ecofeminists, who posit that oppression against women, animals, and the environment is interconnected, have expanded the feminist conception of who is oppressed by masculinity to animals and the environment. Recreational hunting plays a quintessential role in many men’s normative gender development and is directly exploitative towards nature and animals; ecofeminists have shown that it operates within a framework that objectifies and exploits women. This project employs an ecofeminist lens to discuss the following: How some justifications for hunting rely on the notion that men are inherently violent, the link between compulsory heterosexuality and hunting, hunting’s contribution to the masculine identity, and the early conservation movement’s relationship to hunting. I also analyzed a recent issue of a hunting magazine for evidence of the discussed themes to provide further evidence to the growing body of ecofeminist scholarship.
Date Created
2024-05
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Testable Implications of Disappointment Aversion

Description
I study some comparative statics implications of disappointment-averse preferences for optimal portfolios. Specifically, I find that risk-averse disappointment-averse investors increase investment in a risky asset as a result of a monotone likelihood ratio improvement in the asset’s distribution, a subset of First Order

I study some comparative statics implications of disappointment-averse preferences for optimal portfolios. Specifically, I find that risk-averse disappointment-averse investors increase investment in a risky asset as a result of a monotone likelihood ratio improvement in the asset’s distribution, a subset of First Order Stochastic improvements. This gives a testable implication between the disappointment aversion model, and alternatives, including expected utility. I also discuss previously noted implications for disappointment aversion in helping explain the equity premium puzzle.
Date Created
2024-05
Agent

Optimizing Prediction Accuracy in the English Premier League: A Comparative Analysis of Machine Learning Models for Forecasting Match Outcomes

Description
This study presents a comparative analysis of machine learning models on their ability to determine match outcomes in the English Premier League (EPL), focusing on optimizing prediction accuracy. The research leverages a variety of models, including logistic regression, decision

This study presents a comparative analysis of machine learning models on their ability to determine match outcomes in the English Premier League (EPL), focusing on optimizing prediction accuracy. The research leverages a variety of models, including logistic regression, decision trees, random forests, gradient boosting machines, support vector machines, k-nearest neighbors, and extreme gradient boosting, to predict the outcomes of soccer matches in the EPL. Utilizing a comprehensive dataset from Kaggle, the study uses the Sport Result Prediction CRISP-DM framework for data preparation and model evaluation, comparing the accuracy, precision, recall, F1-score, ROC-AUC score, and confusion matrices of each model used in the study. The findings reveal that ensemble methods, notably Random Forest and Extreme Gradient Boosting, outperform other models in accuracy, highlighting their potential in sports analytics. This research contributes to the field of sports analytics by demonstrating the effectiveness of machine learning in sports outcome prediction, while also identifying the challenges and complexities inherent in predicting the outcomes of EPL matches. This research not only highlights the significance of ensemble learning techniques in handling sports data complexities but also opens avenues for future exploration into advanced machine learning and deep learning approaches for enhancing predictive accuracy in sports analytics.
Date Created
2024-05
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Medical Legal Partnerships: A Policy Analysis

Description
This project is a policy analysis of Medical-Legal Partnerships (MLP). There is a serious lack of civil legal help for low income individuals in America. One way to address this issue is incorporating legal care into medical care through an

This project is a policy analysis of Medical-Legal Partnerships (MLP). There is a serious lack of civil legal help for low income individuals in America. One way to address this issue is incorporating legal care into medical care through an MLP, which provides free legal help to address patients’ Social Determinants of Health. This thesis advocates for the incorporation of MLPs into healthcare, as well as more research into the health benefits if an MLP.
Date Created
2024-05
Agent

Differentiation on Demand: How Consumer Preferences Shape Product Variety in Hotelling Duopoly

Description
In this paper, a novel model of Hotelling duopoly is introduced that explains horizontal product variety as the result of consumer preferences, expanding on and meshing the works of Hotelling (1929) and Neven (1985). From this model, two opposing forces

In this paper, a novel model of Hotelling duopoly is introduced that explains horizontal product variety as the result of consumer preferences, expanding on and meshing the works of Hotelling (1929) and Neven (1985). From this model, two opposing forces from consumer preferences are found that impact the variety and price decisions of firms: market share revenues and price revenues. As firms face consumers with highly linear (weak) preferences over variety, the profit incentive is to simply capture the market by offering products that appeal to the middle consumer. However, as firms face consumers with highly quadratic (strong) preferences over variety, the profit incentive is to carve out and exploit a market segment by offering a distinct variety. Thus, observed product variety between minimal and maximal differentiation is emergent from consumer preferences, as firms face a balance of price and market share incentives.
Date Created
2024-05
Agent

The Loop: Connecting People and Building Communities

Description
Through personal experience, my co-founder and I know that young adults often get wrapped up in their work and can forget about the key aspects of life like friendship, mental and physical health, and going to an exciting event. These

Through personal experience, my co-founder and I know that young adults often get wrapped up in their work and can forget about the key aspects of life like friendship, mental and physical health, and going to an exciting event. These issues are particularly prevent when someone is planting roots in a new city. In order to form a solution to this daunting feeling of unfamiliarity and disconnectedness, we have created The Loop which is an app that aims to combat these problems in young adults’ lives. This app provides a platform for young adults all around their designated city to find comfort in small communities. We gather data of the user’s interests and they then are presented a wide variety of events and “loops” to join that cater to their preferences. With this app, we hope that young adults can find their home away from home and we will provide that for them by keeping them in the loop.
Date Created
2024-05
Agent

Development of a Python-Based Software for Calculating the Jones Polynomial: Insights into the Behavior of Polymers and Biopolymers

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Description
This thesis details a Python-based software designed to calculate the Jones polynomial, a vital mathematical tool from Knot Theory used for characterizing the topological and geometrical complexity of curves in 3-space, which is essential in understanding physical systems of filaments, including the behavior

This thesis details a Python-based software designed to calculate the Jones polynomial, a vital mathematical tool from Knot Theory used for characterizing the topological and geometrical complexity of curves in 3-space, which is essential in understanding physical systems of filaments, including the behavior of polymers and biopolymers. The Jones polynomial serves as a topological invariant capable of distinguishing between different knot structures. This capability is fundamental to characterizing the architecture of molecular chains, such as proteins and DNA. Traditional computational methods for deriving the Jones polynomial have been limited by closure-schemes and high execu- tion costs, which can be impractical for complex structures like those that appear in real life. This software implements methods that significantly reduce calculation times, allowing for more efficient and practical applications in the study of biological poly- mers. It utilizes a divide-and-conquer approach combined with parallel computing and applies recursive Reidemeister moves to optimize the computation, transitioning from an exponential to a near-linear runtime for specific configurations. This thesis provides an overview of the software’s functions, detailed performance evaluations using protein structures as test cases, and a discussion of the implications for future research and potential algorithmic improvements.
Date Created
2024-05
Agent

Relationship Between Mexican Culture Orientation and Puberty Onset in Latino Youth

Description
Puberty is a critical stage in the human life course. Specifically, puberty is the physiological transitionary period that marks the beginning of human reproduction capability. These physiological changes are markedly different in boys and girls and accordingly typically occur on

Puberty is a critical stage in the human life course. Specifically, puberty is the physiological transitionary period that marks the beginning of human reproduction capability. These physiological changes are markedly different in boys and girls and accordingly typically occur on different timelines. Furthermore, these timelines are not a set guideline for every child as some may develop earlier and others later. This age of onset is a general range that has been observed and considered to be the normal age of onset. The normal age of onset of puberty is typically between ages 8 and 13 for girls or 9 and 14 for boys (Brito & Latronico, 2015, 93). Any development seen before these ages is typically defined as early onset and development seen after is late development. Professionals have further defined different stages of puberty in both boys and girls. In girls, this involves breast development, body hair growth, changes in height and weight, and menarche (Wheeler, 1991, pg. 2). In boys, pubertal development often involves genital growth, body hair growth, deepening of voice, and growth spurts (6). Puberty onset has been a popular topic of study in the health sciences as the age of onset can indicate the impact of biological and environmental factors. In particular, inequality in research of pubertal onset, the effects of early/delayed onset, and race/ethnicity is of special interest. For instance, there is a lack of existing literature on the role that culture plays on pubertal onset in Latino youth. This analysis intends to investigate the relationship between the integration of Hispanic culture in children’s lives and pubertal onset.
Date Created
2024-05
Agent

Multidegrees of Binomial Edge Ideals

Description
We studied binomial edge ideals, which are at the intersection of graph theory and abstract algebra. Our focus was the multidegrees of these ideals, which contain valuable geometric information. We proved algebraic results that allowed us to write a closed

We studied binomial edge ideals, which are at the intersection of graph theory and abstract algebra. Our focus was the multidegrees of these ideals, which contain valuable geometric information. We proved algebraic results that allowed us to write a closed formula for the multidegree of the binomial edge ideal of a graph based on combinatorial properties of the graph. Then we discovered methods to make the process more efficient. We concluded our research by using our results to find the multidegrees of the binomial edge ideals of many families of graphs.
Date Created
2024-05
Agent

The Cosmic Neutrino Background Asymmetry near the Surface of the Earth

Description
It has been recently claimed that there is a local enhancement of neutrino-antineutrino asymmetry in the Cosmic Neutrino Background (CNB) near the surface of the Earth of order $10^{-4}$ due to the in-matter potential experienced by relic neutrinos. This asymmetry

It has been recently claimed that there is a local enhancement of neutrino-antineutrino asymmetry in the Cosmic Neutrino Background (CNB) near the surface of the Earth of order $10^{-4}$ due to the in-matter potential experienced by relic neutrinos. This asymmetry is significantly larger than the expected $10^{-9}$ from the baryon asymmetry and is a promising step towards detecting the CNB. However, this claim makes many simplifying assumptions to reach this outcome, the most significant of which is the geometry used to model the Earth. Here, we approach the problem with a more realistic geometry for the Earth, and we find that the neutrino-antineutrino asymmetry near Earth is $10^{-8}$, which agrees with other recently reported results from other authors}.
Date Created
2024-05
Agent