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Understanding the Practice of Buddhism in the Chicagoland Area
Get PDFThis presentation reflects on our experiences visiting Buddhist sites in Chicago to understand better how Buddhism is practiced. Throughout our semester in Theo 299 Religions of Asia, we have been learning about the beliefs of different religions originating in Asia including Buddhism. The purpose of this project is to have first-hand experiences observing these beliefs through practice and rituals. The sites observed were the Buddhist Temple of Chicago and Chicago Karma Thegsum Chöling. Through this experience, we developed a deeper understanding of the importance of religious practice in Chicago
Patterns of Context-dependent Global Change in Agroecology and Marine Neritic and Benthic Ecosystems - A Systematic Review
Get PDFGlobal change impacts diverse ecosystems in ways that can be context-dependent, where ecological relationships depend on context. Despite independent studies capturing context-dependent impacts, a global understanding of patterns of context-dependence is lacking. As part of a wider effort by the Women of Color in Ecology and Evolutionary Biology (WOCinEEB) Global-Change subgroup, we report on an ongoing systematic literature review that examines context-dependent effects of global change, such as climate-change and biodiversity loss, within marine (66 articles) and agroecological ecosystems (71 articles). We aim to systematize data to uncover geographic patterns, stressor-specific impacts, and degree of context dependence across different ecosystems
Understanding Mesoamerican Life Cycles and Rituals Through Figurines
Get PDFChildren of ancient times are frequently overlooked within the archaeological record. For this presentation, I examined different aspects of Mesoamerican culture in order to identify two figurines discovered at the Postclassic site of Tzunun, Mexico. These figurines shine light onto ritualistic objects and ceremonies regarding childbirth as well as aiding to clarify the roles and expectations of Mesoamerican children. They allow us to investigate the past and in turn to reconstruct Maya life cycles and how children progressed into adulthood in Mesoamerican, and more specifically, Maya society
Hinduism in Chicago: A Religion of Asia Study
Get PDFIntent and mission is an essence for this organization. The mission of the BAPS Swaminarayan Sanstha is to uplift individual growth by implementing values, spirituality, and skill development. They prioritize fostering harmony amongst diverse communities and providing holistic support and humanitarian aid. For this reason, this community research explores the relationship between Hinduism and its community. Through interviews, temple exploration, and hands on learning, we can understand new views from a significant world religion
Forging Opportunities for Refugees in America
Get PDFEmploying new technologies to shed light on initiatives that provide better life opportunities for underprivileged communities, is key to achieving social transformation. Working hand-to-hand with the administrative team at FORA in crafting a way to promote involvement and engagement amongst Chicagoans, was a very rewarding experience, that strengthened skills such as creativity, communications competencies, organization abilities, and writing skills
Morality and Power: The Influence of Individual Differences and Situational Factors on Ethical Decision Making
Get PDFDecision making is a process we see, encounter, and engage in all the time. Many of the choices made by people every day have little, if any, relation to ethics. However, many of the important decisions people make do have potential implications for others and ethical considerations would be relevant. Due to the prevalence of less-than-ethical decisions, it is important to gain a better understanding of when, and why such decisions are made. Several factors that influence ethical decision making have been identified in the literature. Two of the more prevalent research topics involve situational factors and individual differences. The current study aimed to explore both individual differences and situational factors as they relate to ethical decision making. The research attempted to replicate two previous findings. First, the study manipulated individual’s feelings of power (high vs. low) to assess whether high power leads to less ethical decisions. Second, an individual’s level of moral character was measured to assess whether greater moral character predicts less ethical decision making. Finally, the research tested for an interaction between these two variables. I predicted that moral character would play a greater role for high power decision makers as compared to low power decision makers. This hypothesis was not supported, and results did not indicate that an individual’s power had a significant influence on their ethical decision making. The prediction that participant’s moral character would significantly impact their ethical decision-making behavior was supported, mimicking previous research. Participants for this research consisted of undergraduate students attending Loyola University Chicago
Factors Impacting the Empirical Identification of the Bifactor IRT Model of Rating Data
Get PDFResponse data corresponding to educational and psychological instruments may represent different dimensional structures to account for different patterns of the dependencies in the data. One of the dimensional structures that has been increasingly discussed in the literature is the bifactor structure. This structure can effectively separate different sources that influence the responses, which contributes to score validity and provides theoretical insights about the measured trait. Unfortunately, estimating this structure in practice comes with challenges. One such challenge is an empirical identification issue that is seldom discussed in the literature. This issue occurs when an item’s discriminations on the general and specific dimensions (or within-item discriminations) are similar in strength, making it difficult to obtain accurate estimates for those discriminations. The current evidence regarding the empirical identification issue was shown in only limited situations under full information maximum likelihood (FIML) estimation method. The extent to which the within-item discriminations have to be similar before estimation issues arise and whether the similarity depends on sample size, strength of the item discriminations, and item targetedness (i.e., how well the items’ response categories are targeted to the respondents) are unclear. Also, whether the empirical identification issue occurs under other estimation methods is unknown. This dissertation fills these gaps using three simulation studies. The results suggest that the empirical identification issue of the bifactor model due to the item’s discriminations being similar is moderated by the magnitude of the within-item discriminations. In addition, larger sample sizes can mitigate the estimation inaccuracies caused by within-item discriminations being similar and the discriminations being strong in magnitude. The results also show that Bayesian estimation using adaptive informative priors may produce more accurate discrimination estimates than FIML and Bayesian estimation using less informative priors when the empirical identification issue occurs
2023 Celebration of Faculty Scholarship
Get PDFA bibliography of works featured in the 2023 Celebration of Faculty Scholarship event sponsored by Loyola University Chicago Libraries. The event featured articles, books, and other materials created by Loyola faculty members in the academic year 2022-2023
Worker\u27s Rights
Get PDFThis chapter discusses the rights of workers. It focuses on Bangladesh, China, India, and Vietnam
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
Get PDFThe development and training of deep learning models have become increasingly costly and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for their downstream applications. The dynamics of the PTM supply chain remain largely unexplored, signaling a clear need for structured datasets that document not only the metadata but also the subsequent applications of these models. Without such data, the MSR community cannot comprehensively understand the impact of PTM adoption and reuse. This paper presents the PeaTMOSS dataset, which comprises metadata for 281,638 PTMs and detailed snapshots for all PTMs with over 50 monthly downloads (14,296 PTMs), along with 28,575 open-source software repositories from GitHub that utilize these models. Additionally, the dataset includes 44,337 mappings from 15,129 downstream GitHub repositories to the 2,530 PTMs they use. To enhance the dataset’s comprehensiveness, we developed prompts for a large language model to automatically extract model metadata, including the model’s training datasets, parameters, and evaluation metrics. Our analysis of this dataset provides the first summary statistics for the PTM supply chain, showing the trend of PTM development and common shortcomings of PTM package documentation. Our example application reveals inconsistencies in software licenses across PTMs and their dependent projects. PeaTMOSS lays the foundation for future research, offering rich opportunities to investigate the PTM supply chain. We outline mining opportunities on PTMs, their downstream usage, and crosscutting questions.
Our artifact is available at https://github.com/PurdueDualityLab/PeaTMOSS-Artifact