Digital Commons Network^™

Chatgpt In Secondary English Language Learning: Educators' And Students' Literacy, Perceptions, And Experiences, Victoria Brenes, Sierra Outerbridge, Xinyue Ren

STEMPS Faculty Publications

The increasing use of generative artificial intelligence (GenAI) has shown the potential of transforming teaching and learning practices in various educational settings, such as in English language learning (ELL). As English language learners (ELLs) often experience many challenges and barriers in schools in the United States, it is urgent to leverage the educational affordances of GenAI in fostering the effectiveness of ELL. Given the limited research investigating GenAI adoption, especially ChatGPT literacy within K-12 ELL, this convergent mixed methods research aims to investigate students' and teachers’ perceptions of using ChatGPT and their ChatGPT literacy in secondary ELL contexts. We will …

The Nature Of The National Security Threat To Key Rhode Island Maritime Industrial Defense Sector Companies, Robert J. Hehl, Isabella Gannon, Madelyn Hudson, Patrick Malpass, Samantha Ronci

CJC 450 - Criminal Justice and Criminology Capstone

This Capstone Research Assessment (CRA) will assess the nature of the national security threat to Key Rhode Island maritime industrial defense sector companies posed by domestic and foreign capital investors. Through identification, evaluation and risk assessment of these domestic and foreign investors, this CRA will identify probable threat actors and the key technologies they may be targeting. This CRA will conclude with recommendations for preventing future domestic and foreign infiltration of sensitive US maritime defense industrial sector companies in protecting United States defense technologies and capabilities, strategic defense planning and overall national security.

Not On My Zoning Board: Achieving Mass Transit Development Despite Nimby Pushback, Brian J. Koluch

Pell Scholars and Senior Theses

Within the political discussion on local, state, and federal levels, all politicians seem to agree that U.S. Interstates are a crucial lifeline for many. Conjointly, city planners and scholars understand that we have a logistics issue in cities that can’t seem to handle highway congestion. When prompted with mass transit solutions, some community members protest them for altering the neighborhood in a presumably negative way, leading to the phrase; “Not in my back yard.” Thus, local governing bodies seem paralyzed to take the actions needed to move forward with these implementation strategies. Local governments, in order to circumvent the socially …

Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj

Mansoura Engineering Journal

Communication barriers between the Deaf community and the general public remain a persistent challenge, particularly in multilingual settings where Indian Sign Language (ISL) is the primary mode of interaction. We propose a real-time bidirectional translation framework integrating MediaPipe for hand landmark extraction, a Convolutional Neural Network (CNN) classifier built with TensorFlow/Keras for gesture recognition, OpenAI Whisper for robust multilingual speech-to-text transcription, and Google TTS for naturalistic speech synthesis. The system achieves 93% classification accuracy across 35 ISL classes (alphabets A–Z and numerals 1–9) on a dataset of 42,700 images, with macro and weighted F1-scores of 0.93. Deployed as a Flask …

Disproportionality: The Impact Identifying Students For Special Education, John M. Bradford

All Electronic Theses and Dissertations

This thesis focuses on the topic of disproportionality as it relates to the special education population. Disproportionality is an area of interest for this researcher, who wanted to explore and learn more about disproportionality, the true numbers behind it, the consequences of overrepresentation, and the consequences of our current system for addressing it. Some populations of students have been seemingly overidentified for special education, and current thinking suggests that these services may have negative consequences for the groups that are overidentified. Disproportionality data were reexamined, along with the concept of whether proportional representation in special education should be expected. Additionally, …

A Quantitative Analysis Of Burrowing And Subterranean Locomotion In The Sand Lance Using A Transparent Sediment, Issei Fujita, Makoto Tomiyasu, Jun Yamamoto, Yasuzumi Fujimori

Journal of Marine Science and Technology–Taiwan

Sand lances (Ammodytes spp.) rely on rapid burrowing into sediment for predator avoidance. Although their sediment grain-size preferences are well documented, the biomechanics underlying burrowing success remain unclear because natural substrates are opaque. Using a transparent-sediment system, we directly visualized and quantified burrowing kinematics to: (1) test the effect of body size (total length, TL) on burrowing success; (2) examine entry mechanisms (e.g., swimming speed, entry angle); and (3) describe locomotion within sediment. Logistic regression on the full dataset (N = 28 fish) identified TL as the primary determinant of success, with larger individuals exhibiting significantly higher success …

Cruise Network Design Under Sequential Duopolistic Entry, Ta-Hui Yang, Ching-Hui Tang, Wan-Tien O

Journal of Marine Science and Technology–Taiwan

This study addresses the network design for international cruise services in a duopolistic market, where carriers enter and make decisions sequentially. The leader, who makes the first move, makes decisions as there is no competitor in the market. The follower, who makes decisions later, has to design their network considering the existing leader’s network. The leader’s model is a mixed integer linear problem while the follower’s model is a mixed integer nonlinear problem. Therefore, a heuristic is proposed to solve the problem. The commercially available general algebraic modeling system is used in conjunction with its different solvers to solve the …

Effect Of Heat Treatment On The Corrosion And Wear Behavior Of 17-4 Ph Stainless Steel For Marine Applications, Syuan Tai, I-Kon Lee, Ming-Yuan Lin, Kang-Yu Liao, Chin-Chun Chang, Hung-Bin Lee

Journal of Marine Science and Technology–Taiwan

This study explores the tribocorrosion behavior of conventionally cast 17-4 PH stainless steel under real seawater conditions, focusing on the effects of three heat treatments (Solution, H900, H1100). Electrochemical tests, tribocorrosion experiments, SEM, XPS, and quantitative analysis were used to establish a three-stage tribocorrosion mechanism. Results show that H900 exhibits superior corrosion and wear resistance, while H1100 suffers increased material loss and surface cracking at high potentials. Elemental analysis revealed NbC migration forming third-body particles, which, although briefly reducing friction, induced local stress concentration and crack initiation. The findings highlight the critical influence of microstructure, passive film stability, and third-body …

Enhancing Underwater Imagery And Organism Detection Using Reinforcement Learning, K. Arul Deepa, P. Ramya, Karpaga Vinodha, Dharmaraja C

Journal of Marine Science and Technology–Taiwan

Underwater environments pose significant challenges in assessing image quality and organism detection due to light scattering and absorption, which limits visibility and color fidelity. Existing solutions often fail to effectively address these challenges, resulting in suboptimal image quality and hindering organism identification. This paper examines the problem through a dual-focused approach: enhancing underwater images and detecting organisms using the Underwater Image Enhancement Benchmark (UIEB) dataset. The first step introduces a state-of-the-art method for image enhancement by applying reinforcement learning (RL) principles. By formulating the enhancement process as a Markov Decision Process (MDP)—where states are represented by image features and actions …

Ips Subperiosteal Implant For The Maxilla And Mandible, Tal Sastow, Ian Mark, Edward Woodbine, Jared Miller, Erik D. Gilroy, Harry Dym

The New York State Dental Journal

This two-case report presents the use of the Individual Patient Solutions (IPS) Implants® Preprosthetic system in two patients with distinct clinical needs.

Case #1 involves a 69-year-old male with significant unilateral maxillary bone loss and a residual oroantral communication (OAC) following the failure of both conventional implants and sinus lift procedures. Case #2 involves a patient with a severely atrophic, edentulous mandible. These cases present two distinct and challenging clinical scenarios where both traditional endosseous and zygomatic implants were not feasible. Both cases were successfully managed with a custom-designed IPS subperiosteal implant.

This innovative approach involves a rigidly fixated, stable …

Predicting The Effect Of Transformational Leadership On Job Performance: The Intervening Role Of Happiness At Work, Jean Paolo Lacap, Angela Denise S. Pojanes, Erika Joyce V. De Guzman, Jose Angelo P. Culala, Janelo D. Mariamonte, Patrick S. Carangan

DLSU Business & Economics Review

Happiness at work (HAW) plays a pivotal role in enhancing employee outcomes by fostering a positive work environment and significantly boosting job performance (JP). This study investigates the relationship between transformational leadership (TL) and JP, with HAW serving as a mediating factor. This research involved 230 business process outsourcing (BPO) employees from the National Capital Region in the Philippines. A predictive-causal approach and partial least squares (PLS) path modeling were used to analyze the hypothesized relationships. The results revealed that TL positively and significantly influenced JP and HAW. Furthermore, HAW was found to have a substantial positive impact on JP …

Development Of An Adhesive Emulsion Hydrogel For Soft Tissue Reconstruction, David J. Alpert

Dissertations and Theses

Soft tissue filling materials are most commonly associated with various aesthetic, cosmetic procedures, primarily using lightly cross-linked hyaluronic acid to fill wrinkles and give facial features a more youthful appearance. These natural materials are biocompatible but degrade over time while more persistent synthetic fillers may provoke a chronic inflammatory response. Migration from the injection site is also a key factor as this may not only render the implant non- functional but necessitate further procedures for removal of the foreign material. Such concerns are more pronounced for soft tissue reconstruction procedures (e.g., to treat congenital defects or traumatic injuries), which require …

Design, Testing And Controls For Air Source Heat Pump System In Cold Climates Using Natural & Conventional Refrigerants, S M Abdur Rob

Dissertations and Theses

Fossil-fuel based heating systems used in the residential buildings in northeastern U.S region are not only inefficient but also largely responsible for the greenhouse gas emissions in U.S. Electrification of the buildings has been proved to be the most efficient way to reduce the greenhouse gas emissions where Heat Pumps can be the best alternative to replace the natural gas based heating system to accelerate the electrification process. Among different types of heat pumps, the Air Source Heat Pump (ASHP) system is widely used due to the easy installation and energy efficiency. Conventional heat pump technologies use various types of …

Mad Or Uncontrollable? Reading Female Madness In Three Gothic Texts, Amy Marie Bueno

Dissertations and Theses

My thesis employs comparative close reading framed by disability studies to analyze representations of female madness in Charlotte Brontë’s Jane Eyre, Jean Rhys’ Wide Sargasso Sea, and Isabel Allende’s “If You Touched My Heart.” Drawing on theories of socially constructed disability, it argues that Bertha, Antoinette, and Hortensia are framed as “mad women” not through inherent pathology, but through patriarchal violence, colonial domination, and institutional power. By integrating the social model of disability with feminist theory, this thesis examines how women are rendered disabled within societies influenced by Social Darwinism and eugenic ideologies.

This thesis further incorporates Gothic theory and …

Disaster Risk Management During Climate Emergencies In The Dominican Republic And Puerto Rico, Rosleny Ubinas

Dissertations and Theses

This paper analyzes the DRM approach as an effective framework in addressing climate emergencies across the Dominican Republic and Puerto Rico. These two Caribbean regions, with high hurricane exposure and differing response structures, are deeply shaped by their governments and affiliated international organizations. Disaster Risk Management is the systematic process of using laws, plans, institutions, and community networks to reduce vulnerability to hazards and coordinate effective response when disasters occur. It covers the full cycle, from prevention to reconstruction and rebuilding more resiliently. The Dominican Republic’s law-based intervention led to greater local-level community participation during disasters with its embedded volunteer …

Shared Burden, Potential Space: A Qualitative Study Of How Psychodynamic Therapists Work With Intergenerational Transmission Of Historical Trauma, Shaun J. Halper

Dissertations and Theses

The intergenerational transmission of trauma (ITT) has been investigated since the 1960s, beginning with research on the descendants of Holocaust survivors. Few qualitative studies, however, have taken up how psychodynamic therapists experience their treatments with adult patients with ITT. This study uses Interpretive Phenomenological Analysis (APA) to analyze adult ITT treatments from the perspective of psychodynamic psychotherapists. Ten licensed clinicians in the NYC tri-state area participated in semi-structured interviews, which were organized around three research aims: how clinicians conceptualized and identified ITT, what effective clinical interventions they used, and how they understood the impact of therapist-patient sameness or difference (regarding …

Examining The Spatial Variability Of Summer Heat In New York City Using Landsat Land Surface Temperature, Ryan Kabir

Dissertations and Theses

Extreme heat is the leading weather-related cause of death in the United States, and in New York City (NYC) approximately 370 heat-related deaths occur annually on average. The spatial distribution of surface heat exposure across NYC is highly uneven, low-income neighborhoods and communities of color consistently face higher temperatures, yet the intraurban spatial structure of land surface temperature (LST) during heatwave events has not been systematically characterized at high resolution. The New York City Panel on Climate Change Fourth Assessment (NPCC4) identifies this as an explicit research gap, noting that its own projections, based on global climate models downscaled to …

Civil War Memory In New York City, 1861-1902, Kevin J. Sugrue

Dissertations and Theses

This thesis examines how New York City experienced, understood, and later remembered the American Civil War, from the outbreak of war (1861) through the dedication of major monuments at the turn of the twentieth century (1902). Although New York was the Union’s largest city and its most significant source of troops, casualties, industrial output, financial capital, and press coverage, the city’s wartime experience was deeply conflicted. As a Democratic stronghold and home to large populations of recent immigrants and working-class laborers, New York’s support for the Union was broad but conditional, fractured by class, ethnicity, race, and political allegiance. These …

Dna Barcoding Complements Citizen Science Identifications In An Arthropod Survey At Governors Island, New York, Malky Gestetner

Dissertations and Theses

Arthropods are declining worldwide, threatened by habitat loss, climate change, and growing urbanization. Efforts to monitor arthropod biodiversity are crucial for conservation policies and for maintaining the ecosystem services provided by these animals in urban environments. Surveys of arthropods have been attempted in many New York neighborhoods, but no formal assessment has been conducted on Governors Island, which harbors 72-acres of parkland within a short boat ride away from Manhattan. This is a deficiency which this study helps to address. Following student-led collection efforts within four Governors Island sites, DNA barcoding was employed to complement specimen identification based on morphology …

Who Bears The Cost? A Module For Researching The Intersection Of Technology, The Individual, And Climate Change, Jonathan Auyer

Climate Change and the Individual, 2025-26

Who Bears the Cost? A Module for Researching the Intersection of Technology, the Individual, and Climate Change is a multi-day writing and research module designed for first-year composition courses. Using the ongoing controversy surrounding the Science, Technology & Advanced Manufacturing Park (STAMP) in Genesee County, New York as a central case study, students investigate the ethical, environmental, and social dimensions of artificial intelligence and climate change. The module guides students from initial inquiry, exploring the philosophical question of whether technology is value-neutral or value-laden, through source research, collaborative discussion, and persuasive writing. Drawing on the rhetorical framework of They Say …

Water Resource Governance And Health Equity In Angola, Mads Harner

Public Health Theses

AbstractBackground: Angola is confronting a set of intertwined challenges including water insecurity, increasing climate variability, and deep structural inequality that together intensify the burden of waterborne and water-related diseases (Lombana Cordoba et al., 2021; World Health Organization, 2025). Roughly half of the population does not have reliable access to safe drinking water, and gaps in sanitation and hygiene infrastructure, especially in peri-urban and rural areas, facilitate the spread of illnesses such as cholera, diarrheal diseases, and malaria (UNICEF Angola, 2025; Moreira et al., 2012). These issues are further exacerbated by drought and broader climate variability, and underlying them are historical …

Indoor Environmental Quality Perceptions And Self-Reported Symptoms Among West Haven Va Healthcare Employees, Joseph Hyong Kim

Public Health Theses

Background: Indoor environmental quality in workplace settings influences worker well-being, yet the relationship between perceived workplace environment and reported symptoms remains less well characterized in heterogeneous healthcare settings. This study describes perceived workplace environmental quality and self-reported symptoms among employees at the West Haven Veterans Affairs (VA) Medical Center.

Methods: An observational, cross-sectional study was conducted of VA employees across clinical and non-clinical roles to assess perceived work environment, symptoms and indoor exposures using an electronic survey and personal and area air monitoring of indoor volatile organic compounds (VOCs) and viruses. Perceived workplace environmental quality was assessed using the MM-40 …

Pediatric Rheumatic Heart Disease Screening For Secondary Antibiotic Prophylaxis: An Explainable Shannon Energy Approach Using Heart Phonocardiogram In Northeast Brazil, Zhuohui Lin

Public Health Theses

Rheumatic Heart Disease (RHD), caused by Group A Streptococcus (GAS), remains a significant global health burden, particularly among children in low- and middle-income countries. Untreated GAS infection can lead to acute rheumatic fever and subsequent chronic valvular damage of RHD, such as mitral valve (MV) regurgitation. Hence, early detection is critical for the administration of Secondary Antibiotic Prophylaxis to prevent disease progression. Although deep learning models demonstrate high diagnostic accuracy, limited explainability restricts clinical adoption, especially in resource-limited settings. In this proof-of-concept study, we evaluated Shannon energy (SE) transformation as a proxy to differentiate holosystolic murmurs associated with RHD-related mitral …

Climate Change Impacts On Hydrology In The Upper James Watershed, Imiya Mudiyanselage Chathuranika, Dalya Ismael

Engineering Technology Faculty Publications

Hydrological modeling of the Upper James Watershed (UJW), Virginia, is critical for predicting water availability, flood management, agriculture, ecosystem protection, and hydropower production under increasing climate change. The Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) is applied to evaluate climate change impacts on key hydrological components within the watershed. Future climate conditions were assessed for the near (NF: 2026-2050), mid (MF: 2051-2075), and far (FF: 2076-2100) periods using three Global Climate Models (GCMs) under Shared Socioeconomic Pathways SSP 2-4.5 and SSP 5-8.5. Climate data were bias-corrected using the Linear Scaling Method (LSM) and used to drive the HEC-HMS model. Results project …

Improving Medical Diagnostics With Vision-Language Models: Convex Hull-Based Uncertainty Analysis, Ferhat Ozgur Catak, Murat Kuzlu, Taylor Patrick, Michel Audette

Engineering Technology Faculty Publications

In recent years, vision-language models (VLMs) have been applied to various fields, including healthcare, education, finance, and manufacturing, with remarkable performance. However, concerns remain regarding VLMs’ consistency and uncertainty, particularly in critical applications such as healthcare, which demand a high level of trust and reliability. This paper proposes a novel approach to evaluate uncertainty in VLMs’ responses using a convex hull approach on a healthcare application for visual question answering (VQA). For any VLM, temperature refers to a sampling parameter used in probabilistic generation, which controls the randomness of the model’s output. The LLM-CXR model is selected as the medical …

A Methodological Framework For Modernizing Engineering Course Content With Large Language Models, Katherine Smith, Dalya Ismael, Otilia Popescu, Murat Kuzlu, Adel El-Shahat, Vukica M. Jovanovic

Engineering Technology Faculty Publications

The rapid evolution of technology presents challenges for engineering educators. While the core engineering methods often remain relevant over time, course materials rapidly become outdated in presentation and pedagogical approach. This paper presents a methodological framework for using large-language models (LLMs) to modernize engineering course content with a case study in an advanced technical analysis course.

The methodology follows a phased approach that is designed to be repeatable and verify the accuracy and completeness of course content. During the first phase, an LLM is used to map outdated text-heavy content to a modern format using a LaTeX template. The second …

Prep’S Communications Strategy: A Ten-Year Plan From 2025-2035, Piscataqua Region Estuaries Partnership (Prep)

PREP Reports & Publications

No abstract provided.

The Limits Of Economic Sanctions: Why Western Efforts Did Not Fully Economically Isolate Russia After 2022 Invasion Of Ukraine, Jonibek Oblokulov

Dissertations and Theses

No abstract provided.

The Complex Decision-Making Processes Of Rural Emerging Adults: Counseling Beyond Dualism, Donna M. San Antonio Dr.

Faculty Scholarship

Rural adolescents approach the transition out of high school with individual concerns about making an emotionally or financially expensive “mistake,” family concerns about young people leaving home, and national and local concerns about declining rural economies and out-migration. The literature concerning this topic considers factors that influence youth aspirations in rural areas, such as economic barriers, the way higher education is valued, and perceptions of rural places as lacking in opportunity. However, there has been little study of the myriad interpersonal, emotional, and self-identity inputs that are part of the decision-making processes of rural emerging adults, and little is known …

Regulating Space-Based Solar Power: Challenges Under Both Space Law And Energy Law, Anne-Sophie Martin, Steven Freeland

Journal of Air Law and Commerce

Space-based solar power (SBSP) is emerging as a potential catalyst for global decarbonisation, driven by advances in wireless power transmission, in-orbit assembly, and photovoltaic technologies. Programmes such as the European Space Agency’s SOLARIS initiative, China’s planned megawatt-scale demonstrator, and private projects including Constant Aperture Solid State Integrated Orbital Phased Array and Caltech’s Space Solar Power Project illustrate the shift from theoretical models to operationalisation. SBSP offers continuous, weather-independent renewable energy capable of complementing terrestrial solar, wind, and hydro generation, enhancing grid stability, energy security, and progress toward the UN Sustainable Development Goals. It also supports future space activities by providing …