Digital Commons Network^™

¡Salud! Sacrificing The Sacred Sip: A Critical Analysis Of The Impact Of The Spiritual Conquest On Alcohol Traditions In Central México, Elizabeth Vilchis

Graduate Theses/Dissertations

By thoroughly investigating the available primary sources, this thesis will convey the importance of the Mesoamerican inebriating drink pulque in both the ethos and mythos of ancient Nahua society, examining how the ritual use of pulque became problematic in the eyes of the Spaniards, by investigating the cultural and ideological contradictions or double standards that enabled the tensions, struggles, and violence with which the Spanish colonial regime repressed the ritual use of pulque. This thesis compares the Nahua ethos and mythos of pulque to the Christian ethos and mythos of wine, highlighting the parallels perceived by Spaniards in Central México …

Gaussian Process Regression–Based Uncertainty Quantification For Unmanned Aircraft System Traffic Management And Advanced Air Mobility Applications, Aakarshan Khanal

Mechanical and Aerospace Engineering Dissertations

Uncertainty quantification has gained significant attention in recent years as a research area in dynamical systems. Mathematical representations of the physical system, combined with an understanding of model uncertainties, enable the propagation of uncertainty in temporal space, which allows us to make informed decisions. However, what if the true dynamics of the system is unknown or too complex to define explicitly? In such cases, the system’s behavior can instead be inferred or learned from observed input–output data rather than from an analytical or physics-based model. To this end, this dissertation focuses on developing a data-driven framework for nonparametric dynamics modeling, …

Exploring Factors Mediating White-Nose Syndrome In Little Brown Bats, Carly R. Trujillo

Graduate Theses/Dissertations

The little brown bat (Myotis lucifugus) has experienced drastic population declines across North America due to the recent disease white-nose syndrome (WNS). Previous studies have identified putatively adaptive alleles (PAAs) that may give individuals a greater likelihood of survival. However, there could be geographic-specific adaptation, creating different adaptive landscapes. Additionally, there may be energetic trade-offs between disease survival and reproductive output, and it is not clear what the long-term survival outcomes for the species may be as a result. Long-term evolutionary outcomes are unclear because this species has a lifespan exceeding the arrival of WNS and is difficult …

Operationalizing Cyber-Routine Activities Theory For Senior Cybercrime Prevention: An Evaluation Of The Shield Training-The-Trainer Program, Kyung-Shick Choi, Insun Park, Mijin Kim, Ji Yae Bong

International Journal of Cybersecurity Intelligence & Cybercrime

Older adults face growing risks of cyber-enabled fraud, yet scalable, evidence-based prevention programs remain limited. Guided by Cyber-Routine Activities Theory (Cyber-RAT), this study evaluates the pilot implementation of the Seniors Harnessing Internet Education for Lasting Defense (SHIELD) Training-the-Trainer program, designed to prepare law enforcement officers and community leaders to deliver cybercrime prevention education to older adults. A key innovation of SHIELD is its integration of interactive game-based simulations, which allow participants to practice verification, refusal, and reporting behaviors in realistic cybercrime scenarios. Following the December 2025 pilot session in Boston, semi-structured interviews were conducted with 12 participants from law enforcement, …

From Authorization To Loss: A Blockchain Forensic Analysis Of Transaction-Level Mechanisms In Cryptocurrency Airdrop Scams, Chanwoo Shin, Kyung-Shick Choi

International Journal of Cybersecurity Intelligence & Cybercrime

Cryptocurrency airdrop scams have emerged as a rapidly growing form of cyber-enabled financial crime, yet remain underexplored in empirical research. This study examines how transaction-level mechanisms and offender strategies influence variation in monetary loss in airdrop scam incidents. Grounded in Cyber-Routine Activities Theory (Cyber-RAT), the study conceptualizes financial harm as occurring within decentralized environments where users’ online behaviors, particularly transaction authorization, intersect with limited digital capable guardianship. Data were drawn from 112 validated airdrop scam cases reported on Chainabuse.com between January and December 2025. Blockchain forensic analysis using Breadcrumbs was conducted to reconstruct transaction pathways, identify exchange interactions, and detect …

Integrating Design Thinking In A Stem Methods Course, Demetrice Smith-Mutegi

Teaching & Learning Faculty Publications

Design thinking, a problem-solving approach, has been offered as a strategy to address the challenges of growing and complex teaching expectations. In this narrative, I describe an adapted model of design thinking that was implemented in a secondary STEM methods course for teacher candidates in a graduate program. A description of the key activities, including the fundamental role of empathizing, is shared. Design thinking, when implemented by teachers and teacher candidates, allows the teacher to design and improve a lesson or unit based on student feedback and engagement. This is especially important in today's rapidly evolving educational landscape, where educators …

Secondary Teachers' Experiences In International Professional Development For Convergence Research In Stem And Tradition, Rachel Sparks White, Kristie S. Gutierrez, James K. Ferri

Teaching & Learning Faculty Publications

Convergence education promotes learning experiences that integrate science, technology, engineering, and mathematics (STEM) to address complex real-world problems. However, secondary teachers often report limited access to professional development (PD) and curricular resources that support transdisciplinary instruction. This exploratory case study examines how four secondary teachers (three chemistry; one engineering) made sense of a transdisciplinary PD model, Convergence Research in STEM and Tradition (CReST), that leverages cultural heritage artifacts (Renaissance frescoes) as boundary objects to connect chemistry, engineering, world history, and technology. Teachers participated in a four-day immersive PD experience in Firenze (Florence) and Pisa, Italy, that included site-based learning, interaction …

'I Want To Learn Biology And Preserve My Culture' Testing The Efficacy Of A Culturally Relevant And Context Specific Approach, Umar Adam, Musa Adekunle Ayanwale, Hafsat Mustapha, Sakibu Olajide Saibu, Tunde Owolabi, Adekunle Ibrahim Oladejo

Teaching & Learning Faculty Publications

Background

The dominance of Western-inspired teaching methods and instructional materials has contributed to cultural erosion in African schools. In response, increasing attention has been directed toward culturally responsive approaches to decolonising science education. One such approach is the Culturo-Techno-Contextual Approach (CTCA), which enables African students to conceptualize science as culturally embedded knowledge, integrated into their everyday experiences and practically relevant to their lived realities.

Purpose

This study examined the potency of the CTCA in enhancing students' achievement in the biology topic of variation, which is widely regarded as conceptually challenging.

Sample

The study involved 105 Senior Secondary II students from …

Pre-Service Elementary Teachers' Science Content Knowledge And Confidence: Teaching Science Methods With Metacognitive Awareness Activities, Demetrice Smith-Mutegi, Erika Wise

Teaching & Learning Faculty Publications

Few elementary teachers are confident in teaching science or in their science knowledge. This study sought to address this concern by investigating the impact of a science methods course on confidence and science knowledge for pre-service elementary teachers (PSETs). In this study, 23 participants enrolled in a teacher education program at a Midwest US university participated in a quasi-experimental pretest-posttest design. The participants engaged in course content, including metacognitive awareness activities, for a full semester and qualitatively described their confidence within the pre-post assessment survey. Results were analyzed using an independent samples t-test, mean content assessment scores, and paired samples …

Artifact Centered Interdisciplinary Instruction Supports Secondary Student Learning In Chemistry History And Engineering, Rachel Sparks White, Kristie S. Gutierrez, James K. Ferri

Teaching & Learning Faculty Publications

Secondary STEM instruction often remains organized in disciplinary silos, limiting opportunities for students to apply Concepts across domains incoherent, authentic contexts. This mixed methods implementation study examined Convergence Research in STEM and Tradition (CReST), an Artifact centered interdisciplinary curriculum model designed to connect chemistry, world history, and engineering through a shared instructional context. In this implementation, Italian frescoes served as a boundary object anchoring a six-day sequence on mural materials, deterioration, and restoration. The sequence integrated targeted concepts in inorganic chemistry (e.g., the lime cycle and thermal processes), renaissance era historical contacts and the engineering design process within tasks related …

Girls Stem Institute: Impacting Black Girls' Self-Efficacy And Interest In Stem Careers, Crystal Morton, Demetrice Smith-Mutegi, Danka Maric, Vidushi Adlakha, Robin Jackson

Teaching & Learning Faculty Publications

Nationally and globally, STEM serves as a gatekeeper to the labor market and higher education opportunities. Many Black girls find themselves locked out of the gate. Historically and contemporarily, Black girls are seldom viewed as capable or worthy of educational investment and face unique and ongoing challenges in K-12 STEM learning spaces due to their gender and racial identities. Research suggests that informal STEM learning spaces can serve as a counter to Black girls’ experiences in K-12 schools and help enhance Black girls’ self-efficacy and STEM career interests. This study explores the impact of a four-week informal STEM program, employing …

Pre-Service Teachers' Perceptions Of Literacy In Stem Classroom Instruction By Implementation Of Project-Based Lessons, Sarah Ferguson, Maryam Enderson, Jamie Colwell

Teaching & Learning Faculty Publications

This study examines how project-based learning (PBL) supports pre-service STEM teachers (PSTs) in understanding and applying disciplinary literacy in classroom instruction. Conducted in a semester-long PBL course at a mid-sized public university, the research explores PSTs’ shifting perceptions of literacy in STEM and the challenges and successes they experience. Using qualitative methods grounded in student voice and case study frameworks, data were collected through focus groups, reflections, and lesson plan analyses. Findings show PSTs initially held narrow views of literacy but developed more nuanced understandings through PBL. Key successes included increased confidence and use of inquiry-based strategies; challenges involved time …

Supporting Teacher Candidates' Conceptions Of Equitable Mathematics Teaching: Using Exposure And Experience In Elementary Mathematics Methods Courses, Amanda Mohammad Mirzaei, Ethan P. Smith

Teaching & Learning Faculty Publications

Elementary mathematics methods courses may provide a lever to help support teacher candidates in their trajectory to becoming equitable mathematics teachers. To support the rising generation of mathematics teachers, mathematics teacher educators (MTEs) must critically analyze approaches to equity within and across teacher preparation programs. This study investigates an elementary mathematics course centering equitable mathematics teaching and learning (EMT), rather than isolating or using it as a supplementary aspect. We consider a framework of the teacher learning trajectory (Turner et al., 2012) where teacher candidates learn initial practices, make connections, and then incorporate these practices into their teaching. We extend …

"Art, Esthetics, Ideal": An Ethics For Literary Translators In The Age Of Translating Machines, Gabriel González Núñez

Writing and Language Studies Faculty Publications

The advent of effective machine translation has raised several issues for translators, including the question of how a human translator ought to translate in this age of translating machines. In this context of new ethical questions, the present essay argues that an answer may be found in Pedro Figari’s (1912) philosophical essay on esthetics. Following Figari, the current essay argues that literary translation is art, that as such it can produce an esthetic emotion on readers and that the purpose of such art and esthetics is an ideal in the form of the continuous betterment of the human condition.

Unsafe2safe: Controllable Image Anonymization For Downstream Utility, Minh Dinh

Dartmouth College Master’s Theses

Large-scale image datasets frequently contain identifiable or sensitive content, raising privacy risks when training models that may memorize and leak such information. We present Unsafe2Safe, a fully automated pipeline that detects privacy-prone images and rewrites only their sensitive regions using multimodally guided diffusion editing. Unsafe2Safe operates in two stages. Stage 1 uses a vision--language model to (i) inspect images for privacy risks, (ii) generate paired private and public captions that respectively include and omit sensitive attributes, and (iii) prompt a large language model to produce structured, identity-neutral edit instructions conditioned on the public caption. Stage 2 employs instruction-driven diffusion editors …

Lens: Llm-Enabled Narrative Synthesis For Mental Health By Aligning Multimodal Sensing With Language Models, Wenxuan Xu

Dartmouth College Master’s Theses

Multimodal health sensing offers rich behavioral signals for assessing mental health, yet translating these numerical time-series measurements into natural language remains challenging. Current LLMs cannot natively ingest long-duration sensor streams, and paired sensor–text datasets are scarce. To address these challenges, we introduce LENS, a framework that aligns multimodal sensing data with language models to generate clinically grounded mental-health narratives. LENS first constructs a large-scale dataset by transforming Ecological Momentary Assessment (EMA) responses related to depression and anxiety symptoms into natural-language descriptions, yielding over 100,000 sensor–text QA pairs from 258 participants. To enable native time-series integration, we train a patch-level encoder …

From Physical Correlation To Emotional Connection: The Role Of Passive Haptics On Empathy In Virtual Reality, Jemely Robles

Dartmouth College Master’s Theses

Virtual reality is increasingly explored as a tool for cultivating empathy, and haptic feedback as a tool for enhancing immersion. This paper investigates the effects of combining the two.  Fifty-two participants experienced a custom-built VR scene in which a character was shown packing up a room. Participants were assigned to either a haptic condition, receiving passive haptic feedback corresponding to the character's actions, or a non-haptic control condition that did not receive any haptic input. Trait empathy was measured beforehand, and state empathy and engagement were measured after the experience. Thematic analysis was conducted on post-study interviews, and headset recordings …

Assessment Of Local Amplification Causes At Coastal Strong Motion Stations With Elevated Ground Motion Residuals From The 2024 Tewksbury, New Jersey Earthquake, Patrick Daniele

Open Access Master's Theses

Elevated ground motion amplitudes at individual stations are commonly observed in earthquake datasets, yet the physical causes of these residuals are often not explicitly identified. This study investigates two seismic monitoring stations in southeastern New York that recorded amplified motions during the 2024 Mw 4.8 Tewksbury, New Jersey earthquake. A consistent set of established geophysical methods -- including multichannel analysis of surface waves (MASW), passive ambient noise arrays (MAM), stochastic inversion, horizontal-to-vertical spectral ratio (HVSR) analysis, and directional spectral ratio techniques -- was applied to directly characterize site conditions and identify the mechanisms contributing to amplification.

Results show that elevated …

Black Hole Spectroscopy And Tests Of General Relativity With Gw250114, Jaclyn (Jax) Sanders

Physics Faculty Research and Publications

The binary black hole signal GW250114, the loudest gravitational wave detected to date, offers a unique opportunity to test Einstein’s general relativity (GR) in the high-velocity, strong-gravity regime and probe whether the remnant conforms to the Kerr metric. Upon perturbation, black holes emit a spectrum of damped sinusoids with specific, complex frequencies. Our analysis of the postmerger signal shows that at least two quasinormal modes are required to explain the data, with the most damped remaining statistically significant for about one cycle. We probe the remnant’s Kerr nature by constraining the spectroscopic pattern of the dominant quadrupolar (ℓ=m=2) …

Latent Classification Of Time-Dependent Transition Rates In Longitudinal Binary Outcome Data, Joonha Chang, Wenyaw Chan

Faculty, Staff and Student Publications

Continuous-time Markov chain (CTMC) models and latent classification methods are commonly used to analyze longitudinal categorical outcomes in medical research. While CTMC models are popular for their simplicity and effectiveness, their assumption of constant transition rates presents limitations in capturing dynamic behaviors. To address this, non-homogeneous continuous-time Markov chains (NH-CTMCs) have been developed, incorporating time-varying transition rates to enhance model flexibility. In this study, we leverage closed-form transition probabilities for a fully ergodic two-state NH-CTMC model and propose a latent class clustering approach to identify heterogeneous transition rate patterns within the population. We emphasize the potential advantages of these models …

Aqueous Synthesis Of Luminescent Semiconductors For Opto-Electronic Applications, Saurabh Singh

Theses and Dissertations--Chemical and Materials Engineering

The advancement of opto-electronic and scintillation technologies relies heavily on developing low-temperature, eco-friendly, and scalable synthesis routes for high performance luminescent halide-based semiconductor materials. However, traditional synthesis methods for halide-based semiconductors, including hot-injection, solvothermal, solid-state reactions, Ligand-Assisted Reprecipitation (LARP), microwave-assisted synthesis, and thin film deposition techniques (spin coating, physical vapor deposition (PVD), chemical vapor deposition (CVD), etc.), often demand toxic organic/inorganic solvents, elevated processing temperatures, and high vacuum/inert environments. Such constraints limit their scalability, raise environmental concerns, and impede their commercial-level device integration. This research overcomes these long-standing challenges by employing water as a powerful crystallization-directing, and environmentally benign medium …

Measuring The Efficiency Of The Arts And Culture Sector Relative To Gdp: A State-Level Analysis Of The United States, Ameerkhan Jaffar Khan Khader Khan

Selected Full-Text Master Theses 2021-

Arts and cultural production contributed $1.17 trillion to United States gross domestic product in 2023, 4.2% of the national total, but that contribution is spread very unevenly across states, and the official statistics describe how large the sector is rather than how efficiently it operates (Bureau of Economic Analysis, 2024). This study asks how efficiently each state convert growth in arts and culture employment into growth in value added, how many inputs the efficiency model can carry before it stops distinguishing 51 observations, and whether observable state characteristics explain the differences found. The analysis uses 2023 state-level data for all …

Better Practices In Feedback, Sarah Wackerbarth, Madeline Aulisio Miller

Pedagogicon Conference Proceedings

Feedback is an essential part of the learning process. This paper examines various types of feedback, identifies barriers, and presents practices for enhancing classroom feedback. A case study of quick polling in an online course demonstrates how to collect timely student feedback to improve teaching.

The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches To Teach Foundational Cybersecurity Failures, Chinedum Amaechi, Doris Asogwa, Samuel Alade

Journal of Cybersecurity Education, Research and Practice

SourceURL:file:///home/amaechi/Documents/ *Journal of Cybersecurity Education, Research and Practice (JCERP)*. **Title:** The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches to Teach Foundational Cybersecurity Failures.docx

Background: Between March and April 2026, a single threat actor allegedly compromised four Nigerian institutions across banking, payment infrastructure, government registry, and power distribution sectors. The breaches exposed millions of records and disrupted critical services, yet all four exploited elementary vulnerabilities taught in introductory cybersecurity courses. Objective: This pedagogical case study analyzes the four breaches as a unified phenomenon of "normalized negligence" and provides ready-to-use teaching materials for cybersecurity educators. Methods: Using open-source intelligence analysis of …

A Study Of The Impacts Of Infusing Data Analysis And Research In An Interdisciplinary Environmental Economics Course, Sean P. Macdonald

Publications and Research

This paper explores the impacts of introducing quantitative literacy skills in an interdisciplinary Environmental Economics course typically taught as an issues and policy course without a quantitative component. The study examines the effects of infusing an engaging, student-selected data collection and analysis assignment on students' quantitative reasoning skills, as well as their interest in and attitudes about data analysis and quantitative information. Using data gathered from a set of pre- and post-assessment questions designed to measure changes in quantitative reasoning skills and attitudes, the findings point to significant attitudinal impacts, gains, but smaller, insignificant gains in quantitative reasoning skills.

Detection Of Financial And Political Fake News As A Measure To Prevent Instability In Financial Markets, Konstantyn Malyshenko

DLSU Business & Economics Review

This article explores the role of social networks as a catalyst for instability in financial markets. Its purpose is to present strategies for mitigating the media’s influence on adverse outcomes, primarily by analyzing the information cascades and related transactions in stock markets. The innovative aspect of this research lies in the development of methods for analyzing specific types of information, particularly media reports, to identify indicators of fake that distort public perception. The focus of this study is on fake news and the analysis of its potential linguistic features for identification purposes. A significant outcome of this research is the …

Diffusion Of The Internet And Digital Divide In Post-Soviet Countries, Behrooz Asgari, Cosmos Amoah, Sudipa Majumdar

DLSU Business & Economics Review

This study explores the diffusion process of the internet in countries that were previously known as the U.S.S.R. and are currently divided into 15 countries. Utilizing the S-shaped logistic curves, this paper forecasts future trends in internet diffusion in these economies. Data varied in range, with each country having different time frames for similar variables. The logistic curves for each country determined the length of time of internet diffusion, maximum carrying capacity, and different stages of the diffusion process, namely, emerging, growth, maturity, and saturation. The results show that all countries have exceeded the emerging and growth phases, with 13 …

Comparative Analysis Of Left Ventricular Sympathetic Axons In Shr And Wky Rats, Parker R. Tyson

Honors Undergraduate Theses

Hypertension is a leading cause of cardiovascular morbidity and mortality and is strongly associated with dysregulation of the sympathetic nervous system, which plays a central role in controlling heart rate, vascular tone, and blood pressure. Although increased sympathetic activity has been widely documented in hypertensive disease, the precise structural organization of sympathetic innervation within the hypertensive heart remains incompletely characterized. This study investigates whether chronic hypertension is associated with structural remodeling of sympathetic axons in the left ventricle by comparing autonomic innervation patterns between spontaneously hypertensive rats (SHR) and normotensive Wistar Kyoto rats (WKY). Hearts were collected following transcardial perfusion …

Synthesis And Characterization Of Succinate Dehydrogenase Inhibitors H2/Z14 And C6/Z96 In Order To Combat Small Cell Lung Cancer, Lauren M. Graves

Honors Undergraduate Theses

The use of ubiquinone inhibitors to combat cancer is a recent development in medicinal science and procedures to efficiently synthesize these drugs remain limited. C6/Z96 and H2/Z14, two succinate dehydrogenase inhibitors, have been previously tested in vitro against NSCLC with positive results. Their similarity to ubiquinone is what makes them a strong candidate for a succinate dehydrogenase inhibitor at the ubiquinone binding site. The heterocyclic scaffolds and substituents are proposed to bind strongly through a combination of electronics, hydrogen-bonding, and fit, allowing them to bind well and prove to be more favorable than ubiquinone when competing for the Q-site. By …

Evaluation Of Electroencephalography Processing Methods For Estimating Metabolic Energy Expenditure During Walking, Stephanie L. Pinelo

Graduate Studies Theses and Dissertations 2026

In this study, three EEG datasets, created via different levels of pre-processing, were used to train VO2 prediction models whose performance was tested and compared. Understanding the link between EEG and VO2 during walking is important when working in rehabilitation or studying metabolic energy optimization. Common methods of measuring these two bio-signals tend to be bulky, uncomfortable, and inefficient, so finding a way to predict VO2 from EEG via 1D CNN model training is a worthy pursuit.  It was hypothesized that, due to a CNN needing more data to find patterns for prediction, a minimally processed EEG dataset would have …