Digital Commons Network^™

Examining The Relationship Between Transport Infrastructure Quality And Co2 Emissions: Evidence From South And Southeast Asia, Badr A. Alreshidi

Journal of King Abdulaziz University: Economics and Administration

Transport infrastructure quality plays a critical role in supporting economic activity and facilitating the movement of goods and people. However, improvements in transport systems may also generate environmental consequences through increased emissions. The aim of this paper is to examine the impact of the transport infrastructure quality on CO₂ emissions in fifteen South and Southeast Asian countries during the period from 2013 to 2019. An OLS regression model of panel data was used in order to evaluate the influence of the transport infrastructure quality (road, rail, air, port) on CO₂ emissions. The results of the empirical analysis demonstrate …

Empowering Communication And Understanding In Healthcare Relationships With Human-Centered Ai, Songyun Tao

Dartmouth College Ph.D Dissertations

Healthcare communication depends not only on what information is available, but on how it is interpreted, communicated, and acted upon across different roles. AI can support these processes by summarizing, transforming, and organizing information, but it can also change what becomes visible, who is expected to act, and where responsibility resides.

This dissertation examines how human-centered AI can support communication and understanding across healthcare relationships through three independently developed systems. MusicalPT supports self--body communication in physical rehabilitation through adaptive musical feedback. CareInsights supports communication among professional caregivers in long-term dementia care by preserving and surfacing person-specific context across shifts. Family …

Neurodivergent Peer Tutoring And Anti-Ableism: Two High Schoolers’ Lived Experiences While Working In A Neurodiversity-Based Writing Center, Daniel S. Harrison

The Writing Center Journal

Neurodivergence is naturally present in the writing center and most often recognized by labels like ADHD, autism, OCD, dyslexia, and so on. However, neurodivergent voices in writing center scholarship have been few and far between in postsecondary institutions (Babcock, 2017; Batt, 2018; Kleinfeld, 2023), and in the secondary writing center even less so. Therefore, the purpose of this multiple case study was to explore the personal, relational, and formative aspects of the lived experiences of two neurodivergent students through a critical disability theory lens as they provided writing consultations to their neurodivergent peers in a Mid-Atlantic, independent special education school. …

Radiation Testing And Failure Analysis Of A Complex Heterogeneous Soc, Garrett Smith

Theses and Dissertations

Heterogeneous System on Chips (SoCs) provide a robust platform that can flexibly handle different applications. Their small form factor and low power consumption for their performance have made SoCs an attractive option for space applications. However, SoCs are sensitive to the ionizing radiation found in space. We need to understand how an SoC will behave in the high radiation found in space. This requires us to perform radiation testing of the SoCs on Earth to understand their behavior. The radiation testing and analysis of a heterogeneous SoC is complex as it contains multiple different processing cores, memories, and other system …

Machine Learning Integrated Designing And Screening Of 8-Hydroxyquinoline Based Metallo-Beta-Lactamase Inhibitors, Anthony M. Baudino, Kari Stone

Chemistry Department Faculty Articles

The rapid emergence of metallo-b-lactamase-mediated antibiotic resistance has created an urgent need for new inhibitor discovery strategies. In this work, a machine-learning-guided workflow was developed to generate and prioritize potential inhibitors targeting NDM-1. A SMILES-based variational autoencoder was first pretrained on a broad molecular dataset to learn general chemical syntax and latent molecular representations. The model was then fine-tuned on an 8-hydroxyquinoline-enriched dataset to bias molecular generation toward zinc-binding chemical space relevant to metallo-β-lactamase inhibition. Generated compounds were processed through structural filtering and docking-based evaluation to create training data for downstream predictive modeling. Molecular fingerprints and physicochemical descriptors were then …

Where Do Ai Coding Agents Fail? An Empirical Study Of Failed Agentic Pull Requests In Github, Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, Preetha Chatterjee

Computer Science Faculty Research & Creative Works

AI coding agents are now submitting pull requests (PRs) to software projects, acting not just as assistants but as autonomous contributors. As these agentic contributions are rapidly increasing across real repositories, little is known about how they behave in practice and why many of them fail to be merged. In this paper, we conduct a large-scale study of 33k agent-authored PRs made by five coding agents across GitHub. (RQ1) We first quantitatively characterize merged and not-merged PRs along four broad dimensions: 1) merge outcomes across task types, 2) code changes, 3) CI build results, and 4) review dynamics. We observe …

A Fuzzy–Neutrosophic Suitability Index For Selecting An Appropriate Reasoning Model Under Vagueness, Incompleteness, And Conflict, Nada A. Nabeeh, Ahmed Samy

Neutrosophic Systems with Applications

Fuzzy reasoning and neutrosophic reasoning are both used to handle uncertainty, but they are not intended for the same uncertainty structure. Fuzzy reasoning is suitable when uncertainty appears mainly as gradual vagueness, where a value may belong to a concept such as ``high risk'' or ``good performance'' to a certain degree. In this case, a membership value is often sufficient. Neutrosophic reasoning is more suitable when the problem also contains incomplete information, undecided evidence, or conflict between sources. In such cases, one membership degree may be too limited because it cannot represent support, rejection, and indeterminacy separately. This study introduces …

Foundations Of Neutrosophic N-Semirings Theory And Structural Properties, Raja Muhammad Hashim, Muhammad Gulistan, Muhammad Shahzad

Neutrosophic Systems with Applications

In this paper the concept of neutrosophic n-semirings (S∪ I, ∗ ₁, ∗ _2, ∗ ₃,..., ∗ _n, ∗ _n+1) has been introduced. The substructure of n-semirings (S∪ I, ∗ ₁, ∗ _2, ∗ ₃,..., ∗ _n, ∗ _n+1) has been defined and some useful results have been proved. Moreover, in order to familiarize the readers with these concepts some worthy examples have been coined. The left, right and two sided ideals of neutrosophic n-semirings have been paid a special heed. Finally we have turned our discussion towards the compatible and congruence …

Benchmarking Success: Insights From A Formal Assessment Of A Writing Fellows Program, Ghada Gherwash, Aaron Mills

The Writing Center Journal

This article reports on the first formal assessment of the Writing Fellows program at Colby College’s Farnham Writers’ Center, established in 2008. Unlike previous assessments at other institutions focused on perception or implementation, our assessment aimed to harness the potential of an already successful program. The creation of the Writing Fellows coordinator role and the implementation of intentional improvements resulted in a 99% increase in utilization rate in the 2022–2023 academic year. Our findings underscore the program’s significant impact of these interventions on student writing, faculty perceptions of academic support, and the writing center’s overall campus outreach efforts.

Participatory Approach To Revitalization Of Inclusive, Resilient, And Sustainable Public Space, Ma'ruf Ma'ruf, Firman Syakri Pribadi, Sari Surya, Suryadi Suryadi, Yofan Syarif

ASEAN Journal of Community Engagement

Sustainable Development Goal (SDG) 11 emphasizes the role of cities in providing safe, inclusive, and accessible green public spaces. Therefore, this study investigates the participation process in revitalizing a public space through the perspectives of various stakeholders, including religious, cultural, women, and youth leaders, on the revitalization of historical public spaces in Indonesia. A focus group discussion was conducted to capture stakeholder insights on the design of public space in Pariaman City, West Sumatra. Thematic analysis identified eight key themes relating to the design of Lapangan Merdeka and plans for revitalization. Participants emphasized the potential to evolve into a vibrant, …

Eco-Anxiety Among Environmental Volunteers: The Emotional Cost Of Caring For The Planet, Siti Jaro'ah, Cholifia Sarining Pawasa, Kuni Saffana

ASEAN Journal of Community Engagement

Environmental disasters have frequently been shown to impact the psycho-emotional states of humans, a phenomenon commonly termed eco-anxiety. Individuals who engage in close interactions with the environment may encounter more significant repercussions than other groups, including environmental volunteers. This study seeks to investigate the phenomenon of ecological anxiety among environmental volunteers. The study employed a qualitative phenomenological methodology, using three environmental volunteers as participants. Data were gathered through semi-structured, comprehensive interviews and analyzed using Interpretative Phenomenological Analysis (IPA). The results indicate that participants experienced the effects of environmental issues in three ways: emotionally, cognitively, and in their daily lives. Among …

Exploring Perceptions Of Self-Efficacy Among Newly Graduated Nurses In The Labor And Delivery Unit After The Use Of Rapid Cycle Deliberate Practice For Obstetric Emergencies, Amber L. Hulsey

Dissertations

Background: The average turnover rate among newly graduated nurses (NGNs) in the United States is 25-30% within their first year, with increased rates in high-stress units like obstetrics and critical care. Many risk factors contribute to the high turnover rate of NGNs, but one modifiable factor is feelings of self-efficacy. Studies have shown that simulation training can increase self-efficacy in obstetric emergencies. This study was conducted to explore feelings of self-efficacy among NGNs working in the labor and delivery unit after a rapid cycle deliberate practice (RCDP) simulation of an OB emergency.

Methods: The study used a descriptive …

Thermoclock:A Novel Automated Temperature Regulation Device That Can Model Circadian Entrainment And Disruption In 2d And 3d In Vitro Models, Kaiyin Kelly Zhang, Cathryn A. Cutia, Chanelle A. Moise, Bhavna Kalyanaraman, Kaitlyn Chhe, Jiexin Wang, Michelle E. Farkas, Ilia N. Karatsoreos, Mary Harrington, Meghan E. Huber, Cathal J. Kearney

Biological Sciences: Faculty Publications

Circadian rhythms are critical for maintaining homeostasis and regulating physiological functions, and consequentially impact disease progression; yet, they remain largely overlooked in in vitro models used in preclinical research. One major barrier to rigorously testing the role of circadian rhythms in these models is the lack of accessible tools that seamlessly integrate into standard culture setups and are capable of sustainably delivering time cues to cells and tissues in long term experiments. Here, we present the ThermoClock, a low-cost, Arduino-based automated temperature control system capable of delivering independent temperature programs to multiple cultures simultaneously. Using circadian reporter U2OS cell lines …

Bridging Change: The Role Of The Pont-Neuf In A Transforming Paris, Mathilde M. Oscarson

Undergraduate Honors Theses

In a twist of irony, the Pont Neuf (“New Bridge”) stands today as the oldest bridge crossing the Seine River in Paris, France. This paper examines how artistic representations of the Pont-Neuf such as etchings, early photography, painting, and art installations embody shifting views of the bridge’s function, the role of public space, and community building even as the bridge itself has not changed. The Pont-Neuf is important to Parisians, as evidenced by how often it has been represented in art, both as an integral aspect of the city’s infrastructure as well as the center of cultural and public life. …

2026 Summer Undergraduate Research Program, University Of Northern Iowa. Summer Undergraduate Research Program.

Summer Undergraduate Research Program (SURP) Symposium Programs

The program for the Summer Undergraduate Research Symposium of the College of Humanities, Arts and Sciences.

Convenience And Communication: Students’ Experiences In Synchronous Online, In-Person, And Asynchronous Consultations, Carolyn Wisniewski

The Writing Center Journal

Writing center tutorial modalities have proliferated in recent years, yet research has not kept pace. Students’ experiences in online writing tutorials remain understudied (Denton, 2017; Hewett & DePew, 2015). Better understanding students’ experiences across session modalities is critical to achieving an inclusive and accessible writing center (Martinez & Olsen, 2015). This study used a mixed-methods, comparative design to determine how students selected, experienced, and perceived the accessibility of synchronous online, in-person, and asynchronous modalities. Qualitative and quantitative analysis of 138 surveys and 22 interviews indicated students perceived each modality to provide effective writing support. They report selecting tutorial modality based …

Redefining Creativity: Exploring The Value Of Generative Ai In Art, Zaldy D. Duenas Iii

DLSU Arts Congress Conference Proceedings

Artificial intelligence (AI) has profoundly transformed human activities and industries, including education, business, healthcare, entertainment, and the arts. The creative and artistic sector, in particular, has been significantly impacted, giving rise to public discourse around AI-generated art, commonly termed "AI art ."Advances in generative AI tools have disrupted traditional artistic practices by enabling rapid and seamless image generation from text prompts. These emerging AI technologies have introduced various economic, legal, ethical, and philosophical debates surrounding creativity in AI-generated works. In line with this, this paper examines the implications of generative AI on art and creativity, posing the central question: "Can …

Safeguarding Ephemeral History: The Librarian-Archivist As Steward Of Digital Cultural Heritage, John Louie Zabala, Minette Vinzon

DLSU Arts Congress Conference Proceedings

This paper explores the critical role of librarians and archivists in preserving and ensuring access to our rapidly growing digital cultural heritage. In the face of technological obsolescence, data decay, and the ephemeral nature of online content, these professionals face unprecedented challenges in safeguarding our collective digital past. This paper delves into the unique challenges of preserving digital materials, including "bit rot" (data decay), file format obsolescence, and the ephemeral nature of online content. Ethical considerations, such as copyright, privacy, and the ethical implications of digitizing and disseminating sensitive cultural information, were examined. The paper highlights the crucial need for …

"Tabi-Tabi Po!": An Exploration Of Non-Mainstream Art Materials As Medium In Creating Lenticular Art On Philippine Lower Mythology And Cultural Values, Fernando R. Lacson Jr.

DLSU Arts Congress Conference Proceedings

Art functions as a dynamic medium through which cultural beliefs and values are continuously expressed and reinterpreted. Despite the richness of Philippine mythology, its integration into contemporary interactive visual art remains underexplored, presenting an opportunity to recontextualize indigenous narratives for modern audiences. The study focuses on three figures from local folklore—Nuno sa Punso, Tiyanak, and Diwata—and examines how their moral and symbolic attributes may be translated into experimental lenticular artworks. Guided by Functional Myth Theory and Interactive Aesthetics, the study utilizes a practice-based approach, treating artistic creation as both method and inquiry. The research involved the development of two-way lenticular …

Tunograpiya: Creative Placemaking In The Sonic Ecology Of The Urban Green Spaces At The University Of The Philippines, Jerome Aizpuro Suplemento Ii, Clarissa Marie Borra Rodriguez, Anna Patricia Rodriguez Carranza

DLSU Arts Congress Conference Proceedings

As an answer to the clamor for green space while easing into the “new normal”, the University of the Philippines (n.d.) became more known to the public as “one of the remaining patches of greenery in the concrete jungle that is Metro Manila” they can visit. Using ubiquitous technology in human-nature interactions (Terzimehić, etal., 2021), Tunograpiya facilitates creative placemaking (Wyckoff, 2014) through an immersive experience of the University of the Philippines academic oval’s sonic ecology. The result of the project is a beta web application that lets the user experience a unique sonic environment of layers of sonic material from …

Neutrosophic Time-Truncated Acceptance Sampling Plans Based On The Exponentiated Weibull Distribution For Reliability Applications, Divya P.R., Preethi John

Neutrosophic Systems with Applications

Classical acceptance sampling plans require precisely specified parameter values, an assumption routinely violated by measurement uncertainty and gauge imprecision in practice. This article develops Neutrosophic Time-Truncated Acceptance Sampling Plans (N-TTASP) for the Exponentiated Weibull (EW) distribution by representing the scale parameter as a neutrosophic interval. The neutrosophic sample size n_N ∈ [n_L, n_U] and acceptance number c_N ∈ [c_L, c_U] are obtained by minimizing n_U subject to dual producer and consumer risk constraints on the neutrosophic Operating Characteristic interval. A new indeterminacy ratio η is introduced as a …

Evaluating Generative Ai-Based User Interfaces Using An Integrated Neutrosophic Multi-Criteria Decision-Making Framework, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

User Interface (UI) design can be seen as an essential aspect of human-computer interaction (HCI) and makes communication easier between people and technology. In today's digital economy, interface quality has become one of the most important business concerns, since it has a direct impact on customer satisfaction and retention while affecting revenue. Although creating user-centered and accessible interfaces is crucial, doing so is a difficult and time-consuming process, which leads to burnout for many usability professionals. Although conventional artificial intelligence (AI) was utilized for design assessment and automation, the arrival of generative AI technology has created new possibilities for automated …

Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu

Graduate Doctoral Dissertations

Addressing climate-induced flooding and housing insecurity requires decisions that are technically sound, locally meaningful and feasible to implement. In public transit systems, flooding can damage infrastructure, increase travel time and reduce access to essential destinations, especially for older adults. Shared housing offers an alternative housing model where staff must balance affordability, compatibility, service exchange and participant choice when pairing home providers with housing seekers. In this dissertation, I examine how analytics and decision modeling can support community resilience across these two domains. I use spatial analysis, machine learning, optimization and matching theory to develop practical decision-support workflows. Chapter 2 proposes …

A Comparative Study Of Deep Learning Models For Water Quality Prediction, Doaa El-Shahat, Mohamed Ismail

Sustainable Machine Intelligence Journal

One of the most important challenges in the recent period, and one that still presents a significant challenge, is sustainable management of water resources and accurate prediction of water quality to address increasing pollution and climate changes. Therefore, our study aims to address the complexity and noise in water quality data with time dependencies in water quality data in order to provide a more accurate prediction of water quality by evaluating and comparing six of the latest and most powerful deep learning models that have been recently developed, namely: VBAED, SA-LSTM-LOADEST, LWQformer, ESWT-IE-SBiLSTM, DPSGT, in addition to the CNN-CRNN-M5T model. …

Recoverable Agentic Ai For Communication Networks: A Survey Of Architectures, Trust Regulation, And Failure Recovery, Omar K. Dawoud, Osama A. Ghoneim

Sustainable Machine Intelligence Journal

Agentic artificial intelligence is increasingly integrated into communication networks, enabling systems that perceive network state, reason over conditions, and execute actions on live infrastructure. As these systems act directly on operational environments, their behavior after failure remains insufficiently characterized: existing evaluation emphasizes throughput, latency, and accuracy, without capturing how systems recover after actions that affect network state. This survey examines agentic artificial intelligence in communication networks through the lens of recoverability, based on a systematically coded corpus of the recent literature. The paper introduces the MATR-R framework, which organizes recoverability around memory awareness, action governance, trust regulation, and recovery capability. …

Adasel: Adaptive Attention-Based Stacked Ensemble Learning With Explainable Ai Framework For Earthquake Alert Level Classification System, Alaa Desukey, Ahmed M. Abdelmouty

Sustainable Machine Intelligence Journal

Earthquakes are one of the most life-threatening natural events, and scientists are always concerned about their forecast. Standard machine learning (ML) algorithms have difficulty earthquake alert level classification (EALC) problem. The study presents an ADASEL framework for EALC. The data is merged using a stacked ensemble learning approach, including base learners and meta-models. The basic learners include Extra Tree, random forest (RF), lightGBM, XGBoost, CatBoost, and Gradient Boosting. The outputs are optimized using an attention-based multilayer perceptron meta-model (MLP), LSTM, and Transformer. The technique was tested using earthquake dataset. The data preprocessing steps are applied to enhance quality of the …

Healer Or Human? How Online Physician Reviews Guide Patient Choice, Shabnam Azimi, Sina Ansari, Ignacio Luri, Atefeh Yazdanparast

Faculty Publications

Online reviews increasingly guide physician choice, yet it remains unclear whether content emphasizing a physician's competence (technical skills) or benevolence (prioritizing patients' welfare over self‐interest) more strongly influences patients' decisions. Integrating a field study of 12,351 physician reviews with two online experiments, we distinguish two dimensions of review effectiveness: how helpful readers find a review, and how confident they feel about the choice it informs. We show that competence‐ and benevolence‐focused content influences these outcomes through distinct mechanisms. Benevolence‐focused reviews receive higher helpfulness evaluations because caring behaviors are easier to describe in concrete, vivid language and because naturalistic review platforms …

The Use Of A Sepsis Escape Room Simulation To Enhance Undergraduate Nursing Student's Clinical Judgment, Alaina Peterson

Dissertations

Background: Less than 10% of new graduate registered nurses meet practice-ready expectations for clinical judgment competencies, and 52% of critical care nurses are unable to adequately define sepsis. Traditional clinical rotations offer inconsistent exposure to high-acuity, low-frequency events such as sepsis, leaving new graduates unprepared for independent practice. Escape room simulations use the proven effectiveness of high-fidelity simulations with gamification to develop clinical judgment through active learning, teamwork and problem-solving.

Objective: The purpose of this project was to determine the effectiveness of a sepsis escape room simulation to improve perceived clinical judgment skills of undergraduate nursing students. The intervention was …

Online Mindfulness Training And Work-Related Outcomes: A Randomized Waitlist Controlled Trial, Conner Lee Deichman

Theses and Dissertations

Mindfulness-based interventions improve employee well-being, yet few studies have examined their impact on work-specific outcomes in private-sector samples. Online mindfulness programs offer a promising, accessible alternative to in-person training. This randomized waitlist-controlled trial evaluated the efficacy of Mindfulness for Humans (MfH), a fully online, self-directed 15-session program, on job satisfaction, burnout, work engagement, subjective well-being, and mindfulness skills among private-sector employees. Participants were randomly assigned to a training-first group or a waitlist-first group and completed measures at baseline, 30 days, and 60 days. Results showed significant improvements in job satisfaction, burnout, subjective well-being, and mindfulness following course participation. The training-first …

How Psychological Capital Promotes Student Flourishing: Mediating Effects Of Career Adaptability And Study Engagement, Sana Nisar, Adnan Adil, Sultan Shujja, Samina Rashid

Journal of Social, Behavioral, and Health Sciences

In today’s rapidly evolving academic and occupational landscape, understanding the psychological resources that support student well-being is critical. This study investigates the predictive role of academic psychological capital (PsyCap) in fostering flourishing among Pakistani university undergraduates, specifically identifying the mediating mechanisms of career adaptability and study engagement. Grounded in career construction theory and the JD-R model, the research contributes to theory by positioning PsyCap as a key personal resource that facilitates adaptive capacity and meaningful engagement. Data from 350 undergraduates in public-sector universities were analyzed using path analysis. Results revealed that PsyCap significantly predicted flourishing (β = .35, p …