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Impostor Syndrome In The Ranks: Understanding Self-Doubt To Improve Leader Performance, Joel Kotanko Jul 2026

Impostor Syndrome In The Ranks: Understanding Self-Doubt To Improve Leader Performance, Joel Kotanko

USF Tampa Graduate Theses and Dissertations

Impostor syndrome (IS) — the persistent pattern of self-doubt in which capable individuals fear being exposed as frauds despite objective evidence of competence — has been studied extensively in academic, healthcare, and corporate populations, where it is generally treated as detrimental to professional performance. Little empirical work has examined IS in U.S. military officers, a population operating under structural conditions the literature identifies as primary amplifiers of fraudulence perceptions: high-stakes permanent evaluations, up-or-out promotion systems, cultural pressure against outward expressions of doubt, and recurring role transitions under compressed timelines. This dissertation provides the first quantitative investigation of the relationship between …


From Shortage To Strategy: Optimizing Scarce Resource Allocation In Healthcare, Daniela Duran Cantarino Jul 2026

From Shortage To Strategy: Optimizing Scarce Resource Allocation In Healthcare, Daniela Duran Cantarino

USF Tampa Graduate Theses and Dissertations

The allocation of scarce medical resources presents one of the most consequential challenges in health care, requiring decisions that balance equity and efficiency under pervasive uncertainty. This dissertation develops optimization-based frameworks for two critical domains, organ transplantation and emergency medical services, and demonstrates how operations research methods can improve upon current practice along both dimensions simultaneously.

In the domain of deceased-donor kidney allocation, two complementary frameworks are proposed. The first is a bi-objective stochastic optimization model that jointly maximizes post-transplant survival (efficiency) and prioritizes candidates with the highest pre-transplant mortality risk (equity), subject to regional chance constraints on graft failure …


Vertebrate Diversity In Cave Systems Of Colombia: An Approach Based On Environmental Dna Metabarcoding Analysis, Rita Daniela Martinelli Marín, Carlos Andres Lasso, Francesco Sauro, Susana Josefina Caballero Jul 2026

Vertebrate Diversity In Cave Systems Of Colombia: An Approach Based On Environmental Dna Metabarcoding Analysis, Rita Daniela Martinelli Marín, Carlos Andres Lasso, Francesco Sauro, Susana Josefina Caballero

International Journal of Speleology

There is currently limited knowledge of the biological communities inhabiting cave ecosystems in South America. This study examines the vertebrate community composition of 21 caves across diverse subterranean ecosystems in Colombia using environmental DNA (eDNA) analysis. Water was collected from water bodies inside caves and subterranean systems in six of the eight speleological regions of Colombia in eight departments. Water was filtered manually through a 0.8 m pore size filter and preserved with Longmire solution. A 170-base pair (bp) fragment of the 12s mitochondrial gene specific for vertebrate identification was amplified by PCR and sequenced by Illumina (metabarcoding). Data corresponding …


Toward Intelligent Machines: Conscious Learning And Hardware-Accelerated Ai, Pavia Bera Jul 2026

Toward Intelligent Machines: Conscious Learning And Hardware-Accelerated Ai, Pavia Bera

USF Tampa Graduate Theses and Dissertations

Artificial intelligence systems excel at narrow, well-defined tasks but remain brittle at theboundaries of their training distributions: they cannot quantify uncertainty, adapt continuously to non-stationary data, or operate efficiently on energy-constrained hardware. This dissertation addresses these limitations through four coordinated contributions spanning probabilistic learning algorithms, biologically inspired temporal memory, cross-entity warning propagation via distributed associative memory, and spintronic processing-in-memory.

The first contribution introduces Boosted Bayesian Neural Networks (BBNNs), which extend standard mean-field variational inference by iteratively constructing a mixture posterior through Boosting Variational Inference. On five clinical medical classification datasets, BBNNs achieve superior uncertainty calibration—lower Negative Log-Likelihood and Expected Calibration …


Religious Higher Education In Prison In The United States: The Importance Of Well-Being, Robin L. Labarbera Jul 2026

Religious Higher Education In Prison In The United States: The Importance Of Well-Being, Robin L. Labarbera

Journal of Global Education and Research

A growing body of scholarship suggests that incarcerated individuals who participate in education programs, particularly those grounded in faith, are better positioned for lasting community reintegration and positive long-term outcomes. Using a mixed-methods evaluation design, the author examines two interrelated questions: whether faith-based higher education is associated with enhanced well-being among current participants and whether program graduates carry those well-being gains into post-release life. Drawing on group interviews with 109 incarcerated men and women across six U.S. facilities and surveys from 157 participants in four states, the study found that participation in a prison-based theological education program was associated with …


Subspace Decomposition For Spatial Parameter Estimation, Arthur Grik Jul 2026

Subspace Decomposition For Spatial Parameter Estimation, Arthur Grik

USF Tampa Graduate Theses and Dissertations

Passive emitter localization is an important capability for wireless sensing, interference detection, and spectrum awareness. Classical timing-based localization methods estimate emitter position from differences in signal arrival time across distributed sensor platforms, but their performance depends on precise receiver synchronization and favorable signal bandwidth characteristics. This thesis investigates subspace-decomposition-based spatial parameter estimation as an alternative approach in which directional information is extracted from coherent antenna-array measurements. This work develops the theoretical foundation and signal-processing framework for angle-of-arrival estimation. Various spatial parameter estimators are presented as supporting array-processing methods before focusing on a well-known subspace-decomposition-based approach called the Multiple SIgnal Classification …


Retrospective: The Burney Centre, Mcgill University, 1945-2024, Peter Sabor Jun 2026

Retrospective: The Burney Centre, Mcgill University, 1945-2024, Peter Sabor

ABO: Interactive Journal for Women in the Arts, 1640–1830

The origins of McGill University’s Burney Centre go back to 1945, when Joyce Hemlow was appointed to McGill’s Department of English. After publishing a major biography of Frances Burney in 1958, Hemlow initiated what she termed the Burney Project: a research centre devoted to producing scholarly editions of the journals and letters of Burney and her father, the music historian Charles Burney. The Frances Burney edition was completed, in 25 volumes, in 2019; five volumes of the Charles Burney edition have appeared to date, with a sixth and final volume to follow. Joyce Hemlow was succeeded as Director of the …


A Review Of Willow White's Feminist Comedy: Women Playwrights Of London (University Of Delaware Press, 2024), Mattie Burkert Jun 2026

A Review Of Willow White's Feminist Comedy: Women Playwrights Of London (University Of Delaware Press, 2024), Mattie Burkert

ABO: Interactive Journal for Women in the Arts, 1640–1830

A review of Willow White's Feminist Comedy: Women Playwrights of London by Mattie Burkert.


A Review Of Karen Bloom Gevirtz 'S The Apothecary's Wife (University Of California Press, 2024), Annika Mann Jun 2026

A Review Of Karen Bloom Gevirtz 'S The Apothecary's Wife (University Of California Press, 2024), Annika Mann

ABO: Interactive Journal for Women in the Arts, 1640–1830

A review of Karen Bloom Gevirtz's The Apothecary's Wife by Annika Mann.


Teaching Evelina With Digital Humanities, Hilary Havens Jun 2026

Teaching Evelina With Digital Humanities, Hilary Havens

ABO: Interactive Journal for Women in the Arts, 1640–1830

Digital humanities, an interdisciplinary field that applies digital methodologies and technologies to the humanities, is an excellent lens through which to approach the eighteenth century.  I integrate digital humanities tools and workshops alongside primary source readings in all of my eighteenth-century British literature classes to help students better understand those texts and the world in which they were created.  In my upper-level undergraduate class on late eighteenth-century literature, I teach four digital humanities tools to students, two of them (StoryMapJS and Voyant) in connection with Frances Burney’s Evelina (1778). These tools train students how to uncover historical and geographic contexts …


Reading Burney’S Mastectomy Letter: Presentist Thinking And Personal Responses In The Classroom, Heather Meek Jun 2026

Reading Burney’S Mastectomy Letter: Presentist Thinking And Personal Responses In The Classroom, Heather Meek

ABO: Interactive Journal for Women in the Arts, 1640–1830

Frances Burney’s mastectomy letter, in its graphic and detailed depiction of the operation she underwent without anesthetic in 1811, does not always lend itself immediately to standard, scholarly classroom discussion. It tends, rather, to incite unusually intimate responses, as well as conversations about medicine and health today. In my teaching of the letter in literature courses at Université de Montréal over the course of the past 13 years, I have found that students are inclined to seize upon the subject of breast cancer as especially contemporary in its relevance and to share their own anecdotal knowledge of the disease. I …


Skill Acquisition: Evaluation Of Instructional Procedures, Ellen I. Ratliff Jun 2026

Skill Acquisition: Evaluation Of Instructional Procedures, Ellen I. Ratliff

USF Tampa Graduate Theses and Dissertations

Identifying effective and efficient interventions is essential for establishing independent responding in learners with autism spectrum disorder and related developmental disabilities. The present study replicated and extended Gorgan and Kodak (2019) by comparing differential reinforcement, most-to-least prompt fading, and extended response interval procedures for teaching novel skills to three children with autism spectrum disorder who did not demonstrate prompt-dependent responding. Using an adapted alternating treatments design, each intervention was evaluated against a control condition with an equated opportunity interval. Extensions to prior research included conducting a reinforcer assessment to verify differentiation in stimulus potency, modifying the controlling prompt assessment to …


Light-Driven Zonation And Community Structure Of Aerophytic Microalgae In A Tropical Limestone Cave (Gua Tempurung, Malaysia), Wan Maznah Wan Omar, Mohammad Basri Eshak, Luthfiana Aprilianita Sari, Zulaihat Hamza Abdullahi, Yusuf Abdullahi Jun 2026

Light-Driven Zonation And Community Structure Of Aerophytic Microalgae In A Tropical Limestone Cave (Gua Tempurung, Malaysia), Wan Maznah Wan Omar, Mohammad Basri Eshak, Luthfiana Aprilianita Sari, Zulaihat Hamza Abdullahi, Yusuf Abdullahi

International Journal of Speleology

Cave ecosystems host specialized phototrophic biofilms structured primarily by light availability, yet quantitative assessments of aerophytic microalgal community organization in tropical limestone caves remain limited. This study investigated spatial variation in the structure of aerophytic microalgal communities across four ecologically distinct zones (entrance, transition, penetration, and low light) of Gua Tempurung, Malaysia. Stratified sampling was conducted during three seasonal periods. Dominant phototrophic morphospecies were identified using microscopy, and community composition was analyzed in relation to key environmental variables. Twenty-three dominant microalgal morphospecies were recorded across the cave gradient. Cyanobacteria constituted the major component of both richness and abundance, followed by …


Autoencoders As Classifiers Trained On Single Sources Of Radiographic Images For Generalizability Across Unseen Sources, Ryan M. Putney Jun 2026

Autoencoders As Classifiers Trained On Single Sources Of Radiographic Images For Generalizability Across Unseen Sources, Ryan M. Putney

USF Tampa Graduate Theses and Dissertations

Artificial neural networks trained to classify X-ray images according to disease state will learn to distinguish between technical or procedural variations in the images rather than features relevant to the disease. For example, the model might learn to recognize the machine that captured the image or to distinguish an image taken while the patient is lying supine or standing upright. The present work is aimed at using autoencoders as a generalizable classifier to detect COVID vs pneumonia (PNA) X-ray images. The first experiment was to find an architecture for a fully convolutional autoencoder (CAE) and for a convolutional autoencoder with …


"Does The Penis Lie?": Truth, Sexuality, And Psychocarceral Power, Erin Mcqueary Jun 2026

"Does The Penis Lie?": Truth, Sexuality, And Psychocarceral Power, Erin Mcqueary

USF Tampa Graduate Theses and Dissertations

This thesis critically examines the use of penile plethysmography (PPG), or phallometry, in the treatment and management of sex offenders in the late-twentieth century. Using the Florida Mental Health Institute’s 1986-1989 sex offender treatment program as a case study, it asks how phallometry came to be understood as an objective method for uncovering otherwise hidden sexual truths. Instead of focusing only on its appearance and development throughout the second half of the twentieth century, this thesis draws on the work of Michel Foucault to situate phallometric science within a broader history of sexuality and biopower. In doing so, it argues …


Multi-Modal Survival Prediction On Breast Cancer Mammograms And Enabling Multi-Institutional Collaborations With Federated Learning, Nikolas Koutsoubis Jun 2026

Multi-Modal Survival Prediction On Breast Cancer Mammograms And Enabling Multi-Institutional Collaborations With Federated Learning, Nikolas Koutsoubis

USF Tampa Graduate Theses and Dissertations

Cancer remains one of the leading causes of mortality worldwide, and machine learning is well positioned to leverage the large volumes of routinely collected clinical and imaging data to improve patient outcomes. Realizing this potential at scale requires three capabilities that current practice does not yet deliver in combination: models that integrate the multiple data modalities clinicians use, training procedures that respect institutional data-sharing constraints, and tooling that enables sharing of de-identified data when federated approaches are not sufficient. This dissertation develops methods and infrastructure addressing each of these capabilities in the context of breast cancer and oncology more broadly. …


Interpreting Discrepant Multi-Informant Data: Examining School Psychologists’ Decision-Making Processes With Social-Emotional And Behavioral Assessment, Thomas Koza Jun 2026

Interpreting Discrepant Multi-Informant Data: Examining School Psychologists’ Decision-Making Processes With Social-Emotional And Behavioral Assessment, Thomas Koza

USF Tampa Graduate Theses and Dissertations

Multi-informant assessment is a common method used by school psychologists to collect data on students' social-emotional and behavioral concerns across the three tiers of the Multi-Tiered System of Supports (MTSS) framework. While this data can provide a comprehensive understanding of student functioning, informant discrepancies are common, and little is known about how school psychologists make sense of discrepant data or whether using structured frameworks can support their interpretation. This dissertation used an experimental mixed-methods design with vignettes to examine how school psychologists interpret discrepant multi-informant social-emotional and behavioral assessment data and whether exposure to a structured framework influenced this process. …


Intersectional Inequities In End-Of-Life Care Quality: The Roles Of Race, Ethnicity, And Gender, Jessica A. Yauk Jun 2026

Intersectional Inequities In End-Of-Life Care Quality: The Roles Of Race, Ethnicity, And Gender, Jessica A. Yauk

USF Tampa Graduate Theses and Dissertations

Persistent gaps remain in end-of-life care quality (EOLCQ) in the United States. Structural factors within the health care system, as well as discriminatory practices, affect the quality of care received by at-risk populations. This dissertation uses a mixed-methods research design to examine perceived EOLCQ across racial/ethnic and gender groups. Study 1 and Study 2 were guided by the intersectionality and Social Determinants of Health (SDOH) frameworks, and examined ten EOLCQ outcomes: pain, dyspnea, sadness or anxiety, having personal care needs met, having decisions made about care without enough input from decedent or family, whether the proxy or family were kept …


The Development And Evaluation Of The Functional Analysis Screening Tool For Athletic Performance (Fast-Ap), Sharayah S. M. Tai Jun 2026

The Development And Evaluation Of The Functional Analysis Screening Tool For Athletic Performance (Fast-Ap), Sharayah S. M. Tai

USF Tampa Graduate Theses and Dissertations

There is a growing focus of ABA within sports performance, however, there is a lack of standardized assessments to aid in the development of individualized programming for athletes that is based on the behavior-reinforcing effects to promote optimal athletic performance. The Functional Analysis Screening Tool for Athletic Performance (FAST-AP) is a 16-item questionnaire developed to identify environmental variables that influence athletic performance and identify strategies that can be used to improve motivation and performance of athletes. This allows for the development of function-based interventions and identifying individualized coaching strategies to improve motivation and increase athletic performance more consistently overtime. Study …


Building Trustworthy Information Systems: A Unified Framework For Comparative Risk Detection, Parisa Momeni Jun 2026

Building Trustworthy Information Systems: A Unified Framework For Comparative Risk Detection, Parisa Momeni

USF Tampa Graduate Theses and Dissertations

Risk detection in large scale information systems increasingly depends on heterogeneous data generatedby both centralized and distributed ecosystems. While centralized systems provide curated and validated reports, distributed environments produce large-scale and real-time observational evidence. Existing computational approaches analyze these ecosystems in isolation, limiting systematic comparison of risk repre-sentations across heterogeneous sources.

This dissertation presents a unified computational framework for comparative risk detection across centralized and distributed information systems. The framework provides a domain independent methodology for transforming heterogeneous risk reporting data into comparable multidimensional representations. To enable interpretable comparison of heterogeneous risk distributions, this work introduces the Geometric Overlap Score …


Seeing Around Corners: An Indirect Light Transport Decomposition Framework For Fusing Physics And Learned Priors, Fadlullah Raji Jun 2026

Seeing Around Corners: An Indirect Light Transport Decomposition Framework For Fusing Physics And Learned Priors, Fadlullah Raji

USF Tampa Graduate Theses and Dissertations

Non-line-of-sight (NLOS) imaging, or seeing around corners, is the ability to recover information about objects hidden from direct view and remains one of the most compelling challenges in computational imaging. Existing approaches fall broadly into two categories: active and passive. Active time-resolved methods achieve impressive performance but require specialized pulsed laser hardware and ultrafast detectors, making them expensive and limited by slow measurement acquisition. Passive NLOS methods, which instead exploit the subtle soft shadows (penumbrae) cast by a hidden scene onto a visible matte surface, have recently emerged as a practical alternative. However, existing passive approaches are largely limited to …


Hospitality As A Languageless Movement: Mapping The Interconnectedness Of Inclusion, Disability, And Hospitality, Alycia M. Bobak Jun 2026

Hospitality As A Languageless Movement: Mapping The Interconnectedness Of Inclusion, Disability, And Hospitality, Alycia M. Bobak

USF Tampa Graduate Theses and Dissertations

This dissertation thinks with post-qualitative inquiry to explore how inclusion, disability, and hospitality move through spaces in higher education and how their meanings shift between policy, practice, and personal ethics and dispositions. Using Derrida’s notion of hospitality and Deleuze and Guattari’s concept of the Body without Organs, this study presents the consideration of how university spaces welcome students with disabilities and how feelings of belonging, receiving, and acceptance are produced within those spaces. Rather than viewing inclusion and disability as fixed concepts, this research considers how language and personal ethics continuously reshape their meaning through interactions and affect.

This study …


Success In Student Leadership: An Appreciative Inquiry Approach To A Student Leader Program, Ana M. Tayeb Jun 2026

Success In Student Leadership: An Appreciative Inquiry Approach To A Student Leader Program, Ana M. Tayeb

USF Tampa Graduate Theses and Dissertations

This study explored the strengths and successes of a Student Leader Program within a Physician Assistant (PA) program at a large southeastern university, using an Appreciative Inquiry (AI) framework to understand how the program positions students for success. The program, established to support leadership development, academic engagement, and professional growth, includes elected student roles such as class president, vice president, wellness champion, volunteer liaison, and class liaisons. Through semi‑structured interviews with faculty, administrators, current Student Leaders, non‑leader students, and a Student Leader alumnus, the study examined lived experiences and perceptions of the program’s impact. Guided by the AI 4‑D cycle, …


Using Contingency Mapping To Decrease Disruptive Behavior And Increase On-Task Behavior For Students With Autism Spectrum Disorder, Carelis Y. Pabey Pagan Jun 2026

Using Contingency Mapping To Decrease Disruptive Behavior And Increase On-Task Behavior For Students With Autism Spectrum Disorder, Carelis Y. Pabey Pagan

USF Tampa Graduate Theses and Dissertations

Visual aids have been widely used in educational and therapeutic settings to support individuals with developmental disabilities, particularly autism spectrum disorder (ASD). Among these, contingency maps, a graphic tool that visually represents the outcomes of alternative behaviors and problem behavior, have shown promise in reducing problem behavior, increasing communication, and promoting independence. However, existing research on contingency mapping is limited. The proposed study extended this literature by evaluating the effects of contingency maps on academic engagement and disruptive behavior for children with ASD in a school setting during natural classroom activities. A multiple baseline design across participants was used to …


Portable Trace Gas Analysis With Multipass Cavity Raman Scattering, Charuka Muktha Arachchige Jun 2026

Portable Trace Gas Analysis With Multipass Cavity Raman Scattering, Charuka Muktha Arachchige

USF Tampa Graduate Theses and Dissertations

The continual increase in the production and utilization of chemicals across a growing range of industrial, environmental, and medical applications necessitates accurate and efficient measurement of molecular composition. Trace gas detection is particularly critical in industrialized settings, where the identification of colorless and odorless gases is essential for ensuring operational safety and regulatory compliance. Recent advances in optical instrumentation have positioned spontaneous Raman scattering as a promising analytical technique for trace gas analysis, with multipass cavity enhancement providing a cost-effective pathway to high detection sensitivity. However, existing implementations remain confined to laboratory-scale optical table setups, limiting their applicability in field …


Preparing Preservice Teachers: Developing Skills For Working With Students With Disabilities In The Social Studies Classroom, Melissa Waugh Jun 2026

Preparing Preservice Teachers: Developing Skills For Working With Students With Disabilities In The Social Studies Classroom, Melissa Waugh

USF Tampa Graduate Theses and Dissertations

This study was aimed towards investigating the extant research, best practices, and teacher preparation standards related to working with students with disabilities in the social studies classroom. The study was guided using three research questions: Are students with disabilities’ learning needs reflected in the National Council for Social Studies National Standards for the Preparation of Social Studies Teachers?; How do preservice social studies teacher programs prepare their candidates for teaching students with disabilities as evidenced by Social Science Education methods course syllabi?; and, What might a college-level course aimed towards social studies teaching methods centering around students with disabilities’ learning …


Risk-Aware Deep Reinforcement Learning In Portfolio Optimization, Shimin Zhang Jun 2026

Risk-Aware Deep Reinforcement Learning In Portfolio Optimization, Shimin Zhang

USF Tampa Graduate Theses and Dissertations

Portfolio optimization is important in investment, with the purpose of maximizing profit whilemanaging risk. The traditional portfolio optimization method, Modern Portfolio Theory, is based on the assumption that returns are normally distributed, which is always violated in practical financial market settings. In addition, traditional approaches to portfolio optimization are mostly designed as static optimizations and fail to account for the nonlinearity and non-stationarity of contemporary financial markets. Recent developments in deep reinforcement learning have attracted considerable attention for treating portfolio optimization as a sequential decision-making process. Traditional portfolio optimization methods usually evaluate risk based on the variance of the returns. …


Reading Echoes Of Homer In Plato: Finding Philosophical Insights By Reading Plato's Dialogues As Poiēsis, Stephen R. Lasse Jun 2026

Reading Echoes Of Homer In Plato: Finding Philosophical Insights By Reading Plato's Dialogues As Poiēsis, Stephen R. Lasse

USF Tampa Graduate Theses and Dissertations

Reading Echoes of Homer in Plato: Assessing the legitimacy of the macro-level thesis that approaching Plato from the poetic tradition starting with Homer generates philosophical insights not available when reading his dialogues as the first installments in the Western tradition of philosophy. It begins by identifying equivocal nuances in the dramatic content of Plato’s dialogues that are left unexplored by the current standard approach that attributes a progressive developmentalist approach to Plato’s authorial intent before suggesting an alternative unitarian approach to Plato as an author who maintains an unchanged point of view throughout his corpus of work. It then identifies …


Vestitus Auctoritate: Visual Representations Of Power In Late Roman Sicily, Angela L. Costello Jun 2026

Vestitus Auctoritate: Visual Representations Of Power In Late Roman Sicily, Angela L. Costello

USF Tampa Graduate Theses and Dissertations

This dissertation examines how Late Roman iconography of dress and appearance acted as visual bolsters of elite identity in the province of Sicily by engaging with two villas and their mosaic corpora: the Villa Romana del Casale, and the Villa Romana del Tellaro. Traditional Roman scholarship on power have focused on monuments, military achievements, and imperial building programs, and while these are all necessarily facets of Late Roman identity, there are valuable avenues left unexplored. Some, but not enough, attention has been given to the role of dress iconography during Late Antiquity. This study addresses this gap by investigating how …


Strategic Dimensions Of Artificial Intelligence: Development Globalization, Investment Dynamics, And Firm Performance, Alysson Silveira Jun 2026

Strategic Dimensions Of Artificial Intelligence: Development Globalization, Investment Dynamics, And Firm Performance, Alysson Silveira

USF Tampa Graduate Theses and Dissertations

Artificial Intelligence (AI) is quickly changing the competitive landscape of most industries, and understanding how to incorporate this technology into products, services, and processes is becoming crucial for firms. This dissertation presents three studies that address different strategic challenges that arose with the unfolding of AI. First, I study how multinational enterprises globalize the development of AI. I argue that concentrating AI development or globalizing it has different implications for supply chain responsiveness and operations complexity. I use a combination of a rare dataset on software presence across 45 countries and financial data to show that AI development globalization has …