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Students For Justice In Palestine
No full textWithin the past year since the October 7th attacks the subsequent invasion, blockade and siege on Gaza since late October 2023, Students for Justice in Palestine (SJP) chapters across college campuses have seen a wave of support and membership from students on college campuses and young people as a whole. With this rise in Pro-Palestinian organizing in the forms of rallies, educational events, and encampments, I have often raised the question, is the community built around this wide movement becoming a Youth Sub-Culture? It is also important to ask and try and understand what the demands and goals of this movement are. What strategies does it use to reach said intended goals? How has the backlash from universities in response to the rise in organizing resulted in curtailing of Freedom of Speech? What sets groups like SJP apart from other sectors of Pro-Palestinian Organizing? How has the character of Pro-Palestinian youth organizing changed in the past year since October 7th, 2023?Livingstone Undergraduate Research Award for General Education CoursesTemple University. College of Liberal Art
Developing Tools for Peer Support: Applications, Matching, and Staff Resources
No full textThe purpose of this project was to provide a foundation, support, and resources in developing a peer support program. An application, questionnaires, and interviews for peer mentors along with checklists and surveys to collect interest and experiences, were developed for the matching process. A Staff Supervisor Resource Guide was created to provide information for JEVS staff members assisting with the program. Each area of this project was designed in collaboration with the JEVS team with various levels of feedback to determine use and relevance to the program. Results of post-training interviews showed an impact in confidence and skill set after participating in peer support training. Additionally, all materials were created to match peer mentors with potential mentees, however time constraints and feedback for more interaction with peers limited the fulfillment of mentor-mentee pairs. Lastly, a staff supervisor guide was developed, however the guide needs further development before distribution.Temple University. College of Public HealthHealth and Rehabilitation Science
Supporting Faculty Readiness for Integrating Experiential Service-Learning Opportunities at Local Wellness Center within the Occupational Therapy (OT) Curriculum: A Systems Level Implementation Plan and Feasibility Study
No full textThe purpose of this doctoral capstone project is to explore the feasibility of integrating an experiential service-learning opportunity (ESLO) pilot for occupational therapy (OT) students at the Temple University (TU) OT program at the Temple University Health and Wellness Center (TUHWC). This project will specifically investigate the readiness, barriers, and facilitators of the TU OT faculty in implementing an ESLO at the TUHWC which is a community health and wellness center and is adjacent to a primary care provider (PCP). Through conducting a baseline needs assessment of faculty perceptions, 1:1 interviews, and a focus group with pre/post elements, this study aimed to explore faculty readiness for change as well as pragmatic considerations for a strategic implementation plan to integrate OT presence at TUHWC. In addition to that, a gap and curricular analysis was completed to gain foundational understanding of key players and potential connections between the OT didactic curriculum and the needs of the health and wellness clinic. In combination, these findings led to the design and development of a structured implementation plan proposed during a focus group and subsequently refined. The final plan outlines actionable strategies to enhance faculty support, align experiential learning with accreditation standards, support planning demands, and to overall, promote sustainable OT engagement at TUHWC through potential experiential opportunities. Through this work, future projects will be able to explore further the key role of OT at the site as well as providing students with future opportunities for experiential service learning throughout their curriculum.Temple University. College of Public HealthHealth and Rehabilitation SciencesPoster presented at Temple University's 2025 Occupational Therapy Academic Festival, which took place in Philadelphia, PA
Search Strategies for a Rapid Scoping Review for Trends in Medical Malpractice in the Field of Obstetrics
No full textTo identify studies to include or consider for this rapid scoping review, the review team worked with a librarian (CE) to develop detailed search strategies for each database. The PRISMA 2020 statement was followed for search reporting. The librarian (CE) developed the search for PubMed (NLM) and translated the search for every database searched. The PubMed search strategy was reviewed by the research team to check for accuracy and term relevancy. All final searches were peer-reviewed by another librarian (SB). The search was limited by date from 1995 to present, to articles written in the English language, and to the geographical location of North America. The researchers agreed on these limitations so that they could focus on legal issues locally in the United States to find the current state of malpractice suits.Lewis Katz School of MedicineTemple University (Health Sciences Center Campus). LibraryObstetrics and GynecologySurgeryTo identify studies to include or consider for this rapid scoping review, the review team worked with a librarian (CE) to develop detailed search strategies for each database. The PRISMA 2020 statement was followed for search reporting. The librarian (CE) developed the search for PubMed (NLM) and translated the search for every database searched. The PubMed search strategy was reviewed by the research team to check for accuracy and term relevancy. All final searches were peer-reviewed by another librarian (SB). The search was limited by date from 1995 to present, to articles written in the English language, and to the geographical location of North America. The researchers agreed on these limitations so that they could focus on legal issues locally in the United States to find the current state of malpractice suits.
The databases included in this search are PubMed (NLM) and Embase (Elsevier), using a combination of keywords and subject headings. A grey literature search included Europe PMC (https://europepmc.org/) and MedNar (https://mednar.com/mednar). All final searches were performed on February 25, 2025, by the librarian and were fully reported on February 26, 2025. The full search strategies as reported by the librarian are provided in Appendix (___). They are also archived at [DOI].
A summary of the search results:
PubMed (NLM) from 1995 to 2025-02-25 (1,533 results)
Embase (Elsevier) from 1995 to 2025-02-25 (4,031 results)
Europe PMC from 1995 to 2025-02-25 (58 results)
MedNar from 2005 to 2025-02-25 (394 results on the Medical tab)
The search resulted in 6,016 studies. 723 duplicate studies were found and omitted by the librarian (CE) using EndNote 21 and following the Bramer duplicate identification strategy. This resulted in 4,850 records to screen from databases and 443 records to screen from other methods, resulting in a total of 5,293 records
Religious Culture or Cult?: Literary and Visual Perceptions and Experiences of the Virgin Mary in Spain and the New World (13th-16th c.)
No full textThe Virgin Mary, an idolized figure, has influenced believers’ lives across geographical and chronological boundaries throughout the Iberian Peninsula and the New World. It is evident that over the centuries there has been a transformation of the Virgin Mary’s perception and representation among Iberian audiences in both literature and the visual arts from the 13th to 16th centuries. This study will discuss the Virgin Mary through shifts created via cultural manifestations and will attempt to answer the following questions: What place does the Virgin Mary occupy in medieval Spain and its colonial territories’ religious cultures? Is it a physical or symbolic place? What were the characteristics of these varied spaces she inhabits? How do these places and spaces change over time based on historical evidence and events? It is critical to discuss and understand the Virgin Mary’s representations, perceptions, experiences, and conceptualizations through literature and paintings. Mary’s space and place occupies and affects both the creator and audience of the texts and visual arts: whether she is a subject or an object (icon or statue) and whether she is represented institutionally or privately.Spanis
GENERIC: Musical Improvisation with Machine Learning and Generative Composition
No full textBoth investigative and creative in nature, GENERIC explores the nexus of carbon and silicon intelligence—evaluating and testing directions for the application of artificial intelligence (AI) techniques in the field of musical creativity. This task is first approached through an examination of selected existing musical works involving humans and AI systems, beginning near the advent of the digital computer and progressing through contemporary works. The project culminated in the creation of an eponymous musical suite for clarinet and electronics, in which a musical work was composed simultaneously for concert presentation and for the distinct purpose of training a machine learning system to generate a musical response—positioning an AI system as both a creative partner and a source of computerized musical improvisation. The compositional features, electronics design, and sound synthesis techniques employed throughout GENERIC are examined in detail, and the conceptual implications surrounding musical composition involving an AI system are contextualized against current and historical ideologies.Music CompositionAccompanied by 1 .pdf file: 1) Bailey_temple_0225E_171/GENERIC Transposing Perusal Score.pd
Information Extraction from Scientific Literature
No full textThe exponential growth of scientific literature, with millions of new articles published annually, has created an unsustainable discovery bottleneck across research communities. Manual extraction of critical information---including methodologies, datasets, and domain-specific terminologies---now consumes a substantial proportion of researchers' literature review time, particularly impacting time-sensitive fields like climate science and biomedical research where delayed insights hinder urgent policy decisions or therapeutic developments. Automated information extraction systems have transitioned from supplemental tools to essential infrastructure, addressing three critical imperatives: preserving collective understanding through cross-publication discovery linking, enabling real-time knowledge synthesis in rapidly evolving domains, and democratizing access to specialized findings via structured knowledge representation. Without robust frameworks, the scientific community risks perpetuating redundant investigations, overlooking critical interdisciplinary connections, and failing to transform publication volume into actionable insight networks. Current information extraction paradigms face four fundamental technical challenges rooted in scientific communication's unique characteristics. First, terminological instability arises from continuous conceptual evolution, where emerging constructs like ``attribution-based climate models'' and ``GPT-4.5'' outpace standardized taxonomies, generating persistent errors in entity disambiguation.
Second, structural heterogeneity manifests through hundreds of distinct methodological description formats observed even within focused disciplines like materials science, complicating pattern generalization.
Third, contextual dependency demands adaptive interpretation of concepts such as ``deep learning,'' whose technical meanings diverge fundamentally between protein folding architectures and geospatial mapping applications.
Fourth, the scalability--accuracy tradeoff forces untenable compromises between precision (evidenced by frequent LLM hallucinations) and coverage (marked by traditional NLP's oversight of domain-specific abbreviations). These technical barriers compound with systemic data limitations---existing corpora cover only a small fraction of specialized domains while exhibiting annotation inconsistencies that undermine model reliability. Emerging paradigms in hierarchical relationship modeling hint at potential resolutions through hybrid neural-symbolic architectures.
This research advances scientific information extraction through three interconnected contributions: the development of domain-annotated corpora spanning climate science and computer science; systematic evaluation of machine learning architectures across extraction tasks and disciplinary contexts; and demonstrated pathways for transforming extracted entities into evolvable knowledge graphs. By creating structured repositories that capture methodological lineages, dataset dependencies, and conceptual evolution patterns, our work provides researchers with interoperable frameworks for mapping relationships across fragmented scientific domains. The resulting infrastructure enables both precision-focused analysis within specialized fields and cross-domain knowledge discovery, offering scalable solutions to organize literature at scale while preserving disciplinary nuance. These contributions collectively address the dual challenges of maintaining taxonomic rigor and enabling adaptive knowledge synthesis in modern scientific communication ecosystems.Computer and Information Scienc
PRINCIPALS AS STEM LEADERS MANAGING THE IMPLEMENTATION OF A STEM BASED PRIMARY CURRICULUM
No full textThe need for STEM is important. It is STEM that will drive the next work revolution and make everyone’s life a bit easier. The research is aimed at looking at principals as STEM leaders within the Jamaican education system, as they implement the National Standards Curriculum (NSC) The NSC which is STEM based was introduced in 2016. Since its operationalization within the system, little has been done to look at leadership of the curriculum implementation. As such, it is imperative that such a study be done to unearth how principals are leading the implementation of the STEM based NSC Curriculum and the satisfaction that they derive from carrying out their duties. The research draws on the principles of transformational leadership which is expected to be exhibited by the principals as they provide instructional leadership within their schools. The study is underpinned by Marzano’s 21 characteristics of a transformational leader. This descriptive research targeted 754 primary school principals of which 367 respondents with only 206 providing useful data. The data revealed that although principals perceive themselves as knowledgeable of STEM and are confident that they can implement the curriculum, they encounter challenges in implementing the curriculum. These challenges include teacher quality, resources to include finances, and technological tools. The data also reveal that principals try to resolve these challenges as best as they possibly can. The research also highlighted that principals who have spent a longer time in the system are dissatisfied with their jobs, and that principals who work in rural schools and who have confidence and good attitude towards STEM are more satisfied with their jobs as principals. It is imperative that the stakeholders put in place the necessary tools to facilitate the leadership of the implementation of the STEM curriculum through professional development and proper resourcing of the system to ensure full implementation of the curriculum that will eventually lead to improved student performance and a transformed education system.Educational Leadershi
APPLYING MACHINE LEARNING TO ANALYZE INFLUENCERS' MULTIMODAL (NONVERBAL AND VERBAL) BEHAVIORS IN LIVESTREAMS
No full textInfluencers’ persuasion content in livestream videos is multimodal, comprising both verbal and nonverbal communication. However, prior research in influencer video marketing only focuses on influencers’ unimodal content, such as their language, facial expressions, or acoustic signals. There has been limited research on modeling and interpreting how influencers’ multimodal behaviors contribute to their sales presentations. My dissertation addresses this gap by applying advanced machine learning techniques to analyze influencers’ multimodal behaviors extracted from livestream videos, aiming to uncover patterns that explain the effectiveness of influencer sales presentations.In the first essay, “Modeling Influencers’ Multimodal Selling Behaviors”, I develop a machine learning pipeline to evaluate the effectiveness of multimodal selling behaviors. Initially, I randomly collect over 11,000 selling videos from TikTok influencers and preprocess them to separate the verbal, vocal, and visual modalities. Subsequently, I extract behavioral variables from these modalities using machine learning tools. I then employ XGBoost, trained on these multimodal behavior variables, to predict sales outcomes. Finally, to elucidate the contribution of these multimodal behaviors to sales, I utilize the SHAP framework for detailed interpretation. The results show that a distribution pattern of 40% verbal, 20% vocal, and 40% visual behaviors reveals the power of influencers’ multimodal selling. This pattern displays the heterogeneity across the follower tiers (mid-tier, macro, and mega influencers) and across consumption types (hedonic vs. utilitarian).
In the second essay, “Mining Creativity in Sales Presentation Videos in Live Commerce”, I focus on using deep learning methods to predict and interpret influencers’ creative selling performance. I design 2 studies. Study 1 is at the stage of prediction. I customize a cutting-edge multimodal deep learning approach, the Multimodal Transformer (MulT) as proposed by Tsai et al. (2019), in my live-streaming dataset for the purpose of predicting influencer creative selling performance. The reason that I employ this model is that it could rigorously treat the concept of creative selling as a multimodal interactive behavior, aligning closely with the concept's definition. Study 2 is at the stage of interpretation. First, I utilize another cutting-edge deep learning model, Multimodal Routing (MulT Routing), as proposed by Tsai et al. (2020). This model is specifically designed to open the black box architecture of MulT and interpret the prediction results. This interpretation could help me figure out the relative importance of each explanatory behavioral component contributing to the predicted creative selling performance. Second, I extract behavioral indicators of human creativity from influencers’ verbal, vocal and visual behavioral modalities and study the correlation between these behavioral indicators and the creative selling performance predicted by the deep learning model. The results provide validity for my deep learning predictions and contribute more interpretability of creative selling.
Overall, the findings from my dissertation have the potential to assist influencers in enhancing their sales presentation skills and contribute to the AI-driven management revolution on live commerce platforms.Business Administration/Marketin
Access to Life: Advanced Heart Failure Therapies for Undocumented Immigrants
No full textThe U.S. healthcare system systematically excludes undocumented immigrants (UIs) from life-sustaining treatments for advanced heart failure (AHF), creating profound ethical violations and health disparities. This thesis demonstrates how excluding UIs from AHF therapies breaches justice, autonomy, beneficence, and non-maleficence by restricting access to mechanical circulatory support, inotropic therapy, and heart transplants. Analysis of Medicaid restrictions, legal barriers, and a representative patient case study reveals how current policies institutionalize preventable harm. Contrasting these failures with successful state-level expansions for end-stage renal disease (ESRD), the work proposes actionable solutions to redress inequities exacerbated by immigration policies. The findings underscore that structural reform is both ethically imperative and financially viable, with critical implications for public health, equity, and clinician moral distress. This thesis calls for immediate policy changes guided by the ESRD model and further research to address healthcare exclusion.Urban Bioethic