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Efficacy Of Induced After Death Communication Therapy For Grief: A Single-Group Wait-List Controlled Trial, Thomas J. Nehmy, John Daniels, Paul Williamson, Sarah E. Stegall-Rodriguez Jan 2026

Efficacy Of Induced After Death Communication Therapy For Grief: A Single-Group Wait-List Controlled Trial, Thomas J. Nehmy, John Daniels, Paul Williamson, Sarah E. Stegall-Rodriguez

Psychological Science Faculty Publications

Induced After-Death Communication (IADC) therapy, which uses bilateral stimulation derived from EMDR, is an emerging approach to reducing grief symptoms in bereaved individuals. The present study evaluated the IADC protocol, consisting of two 90-min sessions, in 43 bereaved adults with assessments at four time points including a one-month waitlist period to provide control data. Large reductions in grief symptoms were observed from baseline to follow-up (global grief severity d = 1.56; average daily sadness d = 1.33). Two-thirds of participants who exceeded the clinical cutoff score for prolonged grief at baseline scored below this threshold at follow-up. Treatment effects were …

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Factors Influencing Vaping Behaviors Based On Social Cognitive Theory: A Qualitative Study Among Mexican-American College Students, Bara S. Bataineh, Liza Talavera-Garza, Alexandra Loukas, David J. Badillo, Sherman Chow, Geronimo B. Cardenas, Erika Garza, Anna Wilkinson Jan 2026

Factors Influencing Vaping Behaviors Based On Social Cognitive Theory: A Qualitative Study Among Mexican-American College Students, Bara S. Bataineh, Liza Talavera-Garza, Alexandra Loukas, David J. Badillo, Sherman Chow, Geronimo B. Cardenas, Erika Garza, Anna Wilkinson

Psychological Science Faculty Publications

Background: Vaping rates among Mexican-American college students are high, yet the contributing personal and environmental factors remain understudied. The current qualitative study applies Social Cognitive Theory to examine how personal factors (e.g., self-efficacy, beliefs, and outcome expectations) and environmental influences (e.g., social norms and social media) shape vaping behaviors in this vulnerable population. Methods: We conducted semi-structured interviews with 19 Mexican-American college students (ages 18–25 years), 68% of whom were female, and all were current vapers. Participants discussed the personal and social contexts of their vaping experiences, with questions exploring their beliefs and outcome expectations. Interviews were recorded, transcribed, and …

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Stem-Fit And Soil-Fit: Integrated Plant And Soil Nitrogen-Hormone Sensing With Machine Learning-Based Forecasting For Next-Generation Precision Agriculture, Nafize I. Hossain, Mohammad Solaiman, A.K.M. Ahsanul Habib, Md Al Mahmud Hossain Al Hadi, Shawana Tabassum Jan 2026

Stem-Fit And Soil-Fit: Integrated Plant And Soil Nitrogen-Hormone Sensing With Machine Learning-Based Forecasting For Next-Generation Precision Agriculture, Nafize I. Hossain, Mohammad Solaiman, A.K.M. Ahsanul Habib, Md Al Mahmud Hossain Al Hadi, Shawana Tabassum

Electrical Engineering Faculty Publications and Presentations

Inefficient fertilizer application in agriculture leads to reduced crop productivity, nutrient losses, and reduced crop resilience, highlighting the urgent need for real-time monitoring of plant–soil nutrient and stress dynamics. This research aims to develop and validate a multiplexed sensing platform for real-time, in-situ measurement of key soil nutrients (Soil-FIT) and plant phytohormones (Stem-FIT) involved in nitrogen signaling and stress regulation. The proposed sensor suite integrates 3D-printed modules for continuous monitoring of nitrate, ammonium, and pH in both soil and plant sap, along with salicylic acid (SA), indole-3-acetic acid (IAA), methyl jasmonate (MeJA), and ethylene (ET) in plant sap. The sensors, …

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Development Of Feature Tokenizer Deep Learning Model For Fault Diagnosis In Marine Propulsion System, Pratik Anand Deshpande, J. Preetha Roselyn, Prabha Sundaravadivel Jan 2026

Development Of Feature Tokenizer Deep Learning Model For Fault Diagnosis In Marine Propulsion System, Pratik Anand Deshpande, J. Preetha Roselyn, Prabha Sundaravadivel

Electrical Engineering Faculty Publications and Presentations

The fault diagnostics in Brushless Direct Current (BLDC) motor drive system is critical for operational safety and system lifespan in propulsion system applications. However, signature parameters such as currents, voltages, speed, and torque have provided nonlinear behavior, which limits the usefulness of traditional model-based approaches. This research provides a deep learning based intelligent system to monitor the failures in marine propulsion system. Each signal feature is represented as a structured token, with a specific class token used to collect global contextual information. The proposed model captures both local temporal dynamics and global inter-feature interdependence multi-layer self-attention processes, allowing for the …

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Música Y Nacionalismo, Kristina F. Nielsen, Jessie M. Vallejo Jan 2026

Música Y Nacionalismo, Kristina F. Nielsen, Jessie M. Vallejo

World Music Textbook

Este artículo ofrece una visión general del nacionalismo en contextos musicales.

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Música Y Nacionalismo: Selección De Música Con Comentarios, Kristina F. Nielsen, Jessie M. Vallejo Jan 2026

Música Y Nacionalismo: Selección De Música Con Comentarios, Kristina F. Nielsen, Jessie M. Vallejo

World Music Textbook

Esta es una selección musical sobre el tema del nacionalismo y la música. Puede usarse para acompañar el artículo “Música y Nacionalismo” de World Music Textbook.

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Early Sound Recording Technologies, Peter James Verdin Jan 2026

Early Sound Recording Technologies, Peter James Verdin

World Music Textbook

This chapter recounts the history of early sound recording technologies, their development up until the early 20th century, and the commercial pressures and colonial legacies that shaped how these technologies were used.

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An Augmented Reality-Based Simulator For Enhancing Surgical Training And Skill Acquisition, Mohammed Hazim Alkawaz, Younis Al-Arbo, Meaad Mohammed Salih Jan 2026

An Augmented Reality-Based Simulator For Enhancing Surgical Training And Skill Acquisition, Mohammed Hazim Alkawaz, Younis Al-Arbo, Meaad Mohammed Salih

Mesopotamian Journal of Artificial Intelligence in Healthcare

Conventional surgical training systems are hampered by restricted case exposure, expense, and patient safety, whereas VR simulators often lack contextual and tactile realism. In this paper, an optical see-through AR simulator that overlays 3D anatomical guidance and instrument trajectory cues onto a physical phantom and provides real-time multimodal feedback and automated scoring are developed. A prospective controlled study (n=30 residents) compared AR training with a VR simulator and conventional model-based practice for a standardized orthopedic drilling task. The results were scores on completion time, placement deviation, error count, Objective Structured Assessment of Technical Skill (OSATS) global rating, confidence, decision-making accuracy, …

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Cover Art, Emma Kudelka Jan 2026

Cover Art, Emma Kudelka

Res Publica - Journal of Undergraduate Research

No abstract provided.

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Table Of Contents Jan 2026

Table Of Contents

Res Publica - Journal of Undergraduate Research

No abstract provided.

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Letter From The Department Chair, William Munro Jan 2026

Letter From The Department Chair, William Munro

Res Publica - Journal of Undergraduate Research

No abstract provided.

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Author Biographies Jan 2026

Author Biographies

Res Publica - Journal of Undergraduate Research

No abstract provided.

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The 2025 Michigan Supreme Court Ruling On Lwop Protections: Morally Justifiable?, Asa Smith Jan 2026

The 2025 Michigan Supreme Court Ruling On Lwop Protections: Morally Justifiable?, Asa Smith

Res Publica - Journal of Undergraduate Research

This paper examines the moral permissibility of the 2025 Michigan Supreme Court ruling that found life-without-parole (LWOP) sentences for 19- and 20-year-olds to be unconstitutional under Michigan state law. The paper supports its argument on whether the ruling was morally permissible by drawing on neuroscientific data as well as moral frameworks such as a rehabilitative theory of punishment and John Rawls’s ‘veil of ignorance’ thought experiment for the application of justified principles in society. The paper considers and replies to potential objections to its argument and to alternative interpretations of the moral frameworks it deploys. It concludes by contending that …

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Ideological Narratives In Literacy Reform, Maya Mcgrew Jan 2026

Ideological Narratives In Literacy Reform, Maya Mcgrew

Res Publica - Journal of Undergraduate Research

This paper assumes a discourse analysis approach to examining if partisan control has influenced why red states have demonstrated faster gains in early literacy than blue states. This is done by investigating whether ideological presence in political framing, and particularly crisis-oriented rhetoric, drives reform adoption as much as policy design. Recognizing the ongoing discourse surrounding the continual improvement of pedagogy and programming, especially in areas of foundational skills such as reading, writing, comprehension, and oral communication. The research employs a systematic coding methodology, and the analysis combines a qualitative review of media narratives and state reform histories with a small-sample …

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Between Motherhood And The Motherland: Navigating Challenges To Rank Advancement Of Women In The U.S. Army, Valeria Suarez Jan 2026

Between Motherhood And The Motherland: Navigating Challenges To Rank Advancement Of Women In The U.S. Army, Valeria Suarez

Res Publica - Journal of Undergraduate Research

Female officers remain a minority in the U.S. Army. Motherhood, dependent care, and sexual assault are some of the reasons why they decide to give up on their Army careers. The following study intends to examine how the impact of policy changes to accommodate female Army officers’ increased retention and consequently promoted the rank advancement of women to the rank of major, or O4 and above. Through conversations with 14 armed forces officers, both men and women, it is evident that the gender neutral culture of the Army proves to be detrimental to women’s rank advancement. For them to be …

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Ranked Choice Voting At The State And Local Level, Khel Gordhan Jan 2026

Ranked Choice Voting At The State And Local Level, Khel Gordhan

Res Publica - Journal of Undergraduate Research

Many people across the political spectrum are frustrated with many of the problems that come with simple plurality voting, also known as first-past-the-post, which is implemented in the lion’s share of elections across the United States. To solve many of these problems, some activists and other political organizations advocate for cities and states to adopt Ranked Choice Voting (RCV) as a viable alternative. However, many people, both Republicans and Democrats, claim that implementing this system would be too complicated for people to understand. Due to this, there would be high rates of ballot exhaustion, which would disenfranchise vulnerable minorities who …

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Little Saigon Vote: The Mobilization Of Vietnamese Voters Through Ethnic News Media, Vân Lê Jan 2026

Little Saigon Vote: The Mobilization Of Vietnamese Voters Through Ethnic News Media, Vân Lê

Res Publica - Journal of Undergraduate Research

Informed inspectors suspect Vietnamese Americans associate with the Republican Party because of the model minority mindset and their bond over the anti-Communist attitude. These two components created a sense of Vietnamese American nationalism in the refugee community. A way this Vietnamese American nationalism sustains is through ethnic media, which comes in many forms. The most prominent one is YouTube, where many Vietnamese voters (specifically the older generation) gain their political information from. This research seeks to explore how Vietnamese voters make their voting decisions based on the information that they consume by analyzing the content of the four most popular …

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From Idea To Implementation: Evaluating The Influence Of Large Language Models In Software Development—An Opinion Paper, Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Roisin Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis Jan 2026

From Idea To Implementation: Evaluating The Influence Of Large Language Models In Software Development—An Opinion Paper, Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Roisin Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis

Research Outputs: 2025-Present

The introduction of transformer architecture was a turning point in natural language processing (NLP). Models based on the transformer architecture, such as bidirectional encoder representations from transformers (BERT) and generative pretrained transformer (GPT), have gained widespread popularity in various applications such as software development and education. The availability of large language models (LLMs) such as ChatGPT and Bard to the general public has showcased the tremendous potential of these models and encouraged their integration into various domains such as software development, for tasks such as code generation, debugging, and documentation generation. In this study, opinions from 11 experts regarding their …

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Editorial: Antimicrobial Resistance In Aquatic Environments — Bridging Surveillance, Ecology, And One Health Action, Jean O'Dwyer, Paul D. Hynds, Brigid Hooban, Michael Ryan, Liam P. Burke Jan 2026

Editorial: Antimicrobial Resistance In Aquatic Environments — Bridging Surveillance, Ecology, And One Health Action, Jean O'Dwyer, Paul D. Hynds, Brigid Hooban, Michael Ryan, Liam P. Burke

Research Outputs: 2025-Present

Antimicrobial resistance (AMR) is widely recognised as a majorglobal threat, with health and economic consequences extending acrossand overlapping with human, animal, and environmental systems [1].Perhaps the best example of a One Health challenge, the so-called AMR“silent pandemic” is a complex problem driven by anthropogenic activities, which must be tackled across the three realms [2]. Efforts toaddress AMR have historically focused on clinical and agricultural settings, however, there is increasing recognition that environmentalpathways play a critical role in the emergence, persistence, anddissemination of antimicrobial resistant organisms (AROs) and antimicrobial resistance genes (ARGs) [3,4]. Aquatic environments are ofparticular importance as they receive …

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Toward Secure Complex Uav Cyber-Physical Systems: A Unified Threat Taxonomy And Cross-Layer Survey Of Cybersecurity Challenges, Muhammad Iftikhar Umrani, Bernard Butler, Aisling O’ Driscoll, Steven Davy Jan 2026

Toward Secure Complex Uav Cyber-Physical Systems: A Unified Threat Taxonomy And Cross-Layer Survey Of Cybersecurity Challenges, Muhammad Iftikhar Umrani, Bernard Butler, Aisling O’ Driscoll, Steven Davy

Research Outputs: 2025-Present

Autonomous Unmanned Aerial Vehicles (UAVs) are employed for a variety of purposes in civil and military applications, such as package delivery, disaster management, and more. Within the last decade, three characteristics, namely enhanced autonomy, onboard intelligence and situational awareness, have enabled UAVs to navigate their surroundings, make intelligent decisions, and perform tasks, either independently, or with limited direct human control. Therefore, such UAVs can be considered as complex cyberphysical systems. Whilst these developments enhance UAV capabilities, they also introduce unique cybersecurity challenges by expanding the attack surface through which adversaries can seek to disrupt missions, thereby compromising confidentiality, integrity, availability, …

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Myopia And Eye Disease: From Correlation To Causation, James Loughman, Mark A. Bullimore, Daniel Ian Flitcroft Jan 2026

Myopia And Eye Disease: From Correlation To Causation, James Loughman, Mark A. Bullimore, Daniel Ian Flitcroft

Research Outputs: 2025-Present

Myopia is increasingly recognised as a risk factor strongly linked to visual impairment and sight-threatening ocular disease rather than a simple refractive state. The assumption of causality to these secondary effects underpins myopia control and its long-term public health value. This review considers epidemiologic, longitudinal, mechanistic, interventional, natural-experiment, and genetic evidence to evaluate causality based on Bradford Hill's nine criteria: strength, consistency, specificity, temporality, biological gradient, plausibility, coherence, experiment, and analogy. The graded dose-response relationship between myopia and visual impairment has been demonstrated across multiple populations. Similar patterns are shown for a range of myopia-related ocular diseases. Risks for myopic …

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W415.2-004d-11 - Memorabilia: Scrapbooks And Albums: 1990-1999, Memorabilia Jan 2026

W415.2-004d-11 - Memorabilia: Scrapbooks And Albums: 1990-1999, Memorabilia

University Archives Finding Aids

No abstract provided.

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W415.2-004d-12 - Memorabilia: Scrapbooks And Albums: 2000-2009, Memorabilia Jan 2026

W415.2-004d-12 - Memorabilia: Scrapbooks And Albums: 2000-2009, Memorabilia

University Archives Finding Aids

No abstract provided.

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W462-001a-04 - Staff: Staff Assembly: Various Records, Staff And Staff Assembly Jan 2026

W462-001a-04 - Staff: Staff Assembly: Various Records, Staff And Staff Assembly

University Archives Finding Aids

No abstract provided.

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A Unified Framework For Evaluating Training Efficiency In Deep (Bayesian) Neural Networks: Metrics, Overtraining, Stopping Criteria, And Grokking Computer Science, Eduardo Cueto Mendoza Jan 2026

A Unified Framework For Evaluating Training Efficiency In Deep (Bayesian) Neural Networks: Metrics, Overtraining, Stopping Criteria, And Grokking Computer Science, Eduardo Cueto Mendoza

Doctoral

Measuring training efficiency for artificial neural networks is an open research problem, current literature reports several attempts to define measures or create reporting frameworks. Current methods lack generality as they require measurements of the hardware or software thus, comparing efficiency between different systems can be difficult. Similarly, current metrics or frameworks generally do not propose the use of the metrics to directly improve training efficiency. This thesis presents three main contributions: (1) a novel framework that quantifies the training efficiency of a neural architecture on a learning task as the average ratio of model accuracy to total energy consumption during …

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Human Capability Development In Irish Tech Smes, Anna Zherdeva Jan 2026

Human Capability Development In Irish Tech Smes, Anna Zherdeva

Doctoral

Purpose: SMEs are the backbone of the European economic model and represent 99.8% of all businesses, highlighting the importance of research that assesses challenges and opportunities faced by SMEs. The reviewed literature revealed a significant lack of research on how SMEs can develop management, teamwork, and team-building skills in the context of the twin transition (i.e., digital and green transitions), particularly regarding digital transformation and its impact on economic development and business cooperation. Researchers have presented evidence of the difficulties SMEs face in competing with corporations due to numerous constraints, including a lack of investment and qualified human resources. To …

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Motivation System Evoked By High Performance Work System In Chinese Universities And Colleges - An Examination Of The Relationship Between Human Resource Practices, Basic Psychological Needs, And Job Performance, Juan Chen Jan 2026

Motivation System Evoked By High Performance Work System In Chinese Universities And Colleges - An Examination Of The Relationship Between Human Resource Practices, Basic Psychological Needs, And Job Performance, Juan Chen

Doctoral

High Performance Work Systems (HPWS) are strategic, integrated Human Resource Practices (HRPS) designed to enhance employee abilities, motivation, and opportunities for participation, driving sustained organisational performance. While early research emphasized commitment HRPS, recent studies recognise that control and commitment HRPS are complementary rather than mutually exclusive, with neither holding an absolute advantage. Their success depends on contextual factors such as country, industry,organisation, economic environment, and workforce. In Chinese higher education institutions, transitioning from a high-commitment “iron rice bowl” system to a more control-oriented HR model has created tensions between efficiency and academic freedom. Based on the resource-based view, social exchange …

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When Survival Becomes Politics: Necessity Activism And Identity Work Under Precarity, Lucia Garcia-Lorenzo, Lucia Sell-Trujillo, Paul Donnelly Jan 2026

When Survival Becomes Politics: Necessity Activism And Identity Work Under Precarity, Lucia Garcia-Lorenzo, Lucia Sell-Trujillo, Paul Donnelly

Research Outputs: 2025-Present

Collective action is essential for tackling social, institutional, and environmental challenges, often fueled by shared identities, common norms, and a belief in the possibility of change. However, the impact of participating in collective action on individual identities, and how this knowledge can shape future efforts to maintain engagement and promote positive change, remains underexplored. This study uses a liminal and identity work approach to examine how precarious Spanish activists, involved in long-term struggles against precarity, develop and negotiate their identities as activists through protest participation. Based on a qualitative study spanning over 9 years, this research focuses on the experiences …

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Leveraging Natural Language Processing Methods For Next Generation Customer Service In Telecommunications Industry, Hesham Abdelmotaleb Jan 2026

Leveraging Natural Language Processing Methods For Next Generation Customer Service In Telecommunications Industry, Hesham Abdelmotaleb

School of Engineering, Computing and Mathematics Theses

This research explores application of Natural Language Processing (NLP) methods to better understand and improve customer service feedback in telecom industry. We collect novel reallife datasets of customer reviews and social media comments within British telecommunication industry over one year. Then, we apply three main modelling approaches. First, we study topic modelling for short text: we propose a new evaluation metric for GSDMM model and demonstrate that our metric helps to choose meaningful topics when texts are very brief. Second, we perform an extensive comparative study of word embedding models for text classification: we test nine word embedding and feature …

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Investigating The Biocompatibility Of Nanosilver Hydroxyapatite Coatings With Human Gingival Fibroblasts To Enhance Abutment Integrity For Periodontal Health, Sian Morgan Jan 2026

Investigating The Biocompatibility Of Nanosilver Hydroxyapatite Coatings With Human Gingival Fibroblasts To Enhance Abutment Integrity For Periodontal Health, Sian Morgan

School of Engineering, Computing and Mathematics Theses

Dental implants are susceptible to bacterial colonisation, which can initiate peri-implant inflammation and ultimately lead to peri-implantitis and implant failure. Antimicrobial surface modifications represent a promising strategy to mitigate bacterial infection however, such approaches must preserve biocompatibility with peri-implant soft tissue cells to ensure effective mucosal sealing and long-term implant success. In particular, human gingival fibroblasts (HGFs) play a critical role in soft tissue integration at the implant-abutment interface, yet their interactions with antimicrobial silver-based coatings remain insufficiently understood. This thesis investigates the biocompatibility of nano silver-hydroxyapatite (Ag+nHA) coatings deposited on titanium substrates, with the aim of developing an antimicrobial …

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