Digital Commons Network^™

Do Algal Endosymbiont Communities In Coral Outplants Change Over Time? A Spatio-Temporal Analysis Of Algal Symbionts In A South Florida Coral Restoration Experiment, Milena Nesic

Electronic Theses and Dissertations 2020 - Present

Increasingly frequent marine heatwaves and bleaching events threaten the persistence of corals on Florida’s Reefs. Active restoration through outplanting is being implemented across multiple species and regions, yet its effectiveness under rising thermal stress remains uncertain. We analyzed Symbiodiniaceae ITS2 sequence data from outplants of three coral species, Pseudodiploria clivosa, Montastraea cavernosa, and Orbicella faveolata, sampled before (2023) and after (2024) a mass bleaching event. Multivariate analyses revealed species-specific yet regionally divergent trends: southern restoration regions exhibited pronounced shifts toward thermotolerant Durusdinium, while northern regions remained comparatively stable. Although fine-scale ITS2 variation contributed to community heterogeneity, genus-level shifts …

Bridging The Gap: Designing A Vertically Aligned 5–12 Instrumental Music Curriculum For Comprehensive Literacy And Musicianship, Philip D. Deyoung

Masters Projects

This project aims to address the widespread issue of vertically misaligned curriculum in secondary instrumental music programs. Students frequently encounter inconsistent expectations, repeated or skipped content, and uneven literacy development when transitioning from one ensemble to another. These gaps can reduce achievement, hinder persistence, and heighten inequities for students with fewer resources. To solve this problem, the project develops a vertically aligned 5–12 instrumental music curriculum grounded in constructivist learning theory and self-regulated learning, emphasizing active knowledge building and student independence. The framework includes ten Priority Standards, grade-band proficiency scales, rehearsal routines aligned with the National Core Arts Standards (NCAS), …

Hidden Threats In Water: The Global Rise Of Emerging Contaminants, Baljit Singh, Abhijnan Bhat, Gayathree Thenuwara, Kamna Ravi, Azza Silotry Naik, Christine O’Connor, Furong Tian

Research Outputs: 2025-Present

The general spread of water safety awareness and enforcement often masks the escalating risks of emerging contaminants (ECs) that evade standard detection and monitoring techniques. Traditional monitoring infrastructures depend heavily on localized laboratory-based testing, which is expensive, time-consuming, and reliant on specialized infrastructure and skilled personnel. While specific types of ECs and detection technologies have been examined in numerous studies, a significant gap remains in compiling and commenting on this information in a concise framework that incorporates global impact and monitoring strategies. We aimed to compile and highlight the impact ECs have on global water safety and how advanced sensor …

Evaluation Of A Nurse-Led Echo® Education Series: Telementoring Priority Equitable Primary Care, Bettina H. Riley, Emily S. Bentley, Misty Guy, Pam Johnson, Shannon Powell-Lewis, Joyce Pittman, Jo Ann Otts, Katherine Bydalek, Caleb Howard

Biennial Convention (CONV)

An Extension for Community Healthcare Outcomes (ECHO®) evidence-based global model provided the framework for a nurse-led professional education series focused on priority topics supporting equitable primary care. A Nursing Recruitment and Education to Expand Access to Culturally-Aligned Healthcare (Nursing REEACH) ECHO® was a goal of a Health Resources and Service Administration (HRSA) of the U. S. Department of Health and Human Services grant. The grant provided resources to increase nursing workforce and capabilities in rural and underserved communities through deployments of graduate nurses in mobile clinics. A grant sub-goal was to expand access to evidence-based services in the community through …

Legal Considerations On Predictive Policing Based On Italian ‘Algorithmic Administration’ Principles, Stefano Rossa

Yearbook of Antitrust and Regulatory Studies

In Beck’s current risk society, the State is faced with a dilemma. To fail before the risk but to keep the sphere of citizens’ rights intact; or not to fail but to restrict fundamental rights? This payoff turns out to be the main issue that juridical reflections on the use of predictive technology tools in the public sector must consider. Policing is an administrative function that is mainly composed of acts of a preventive nature. By using ICT, it is possible to employ AI systems with a very high rate of certainty to ‘predict’ future crime scene. But is it …

Effective Leadership Strategies Used To Retain Volunteers In Nonprofit Organizations, Celine Ejoh Njeck

Walden Dissertations and Doctoral Studies

Abstract Nonprofit organizations provide critical services that address social, cultural, and economic needs within communities. Nonprofit leaders who cannot retain volunteers risk reduced organizational capacity, interruptions in program delivery, and weakened ability to achieve program objectives. Grounded in servant leadership theory, the purpose of this qualitative pragmatic inquiry project was to identify and explore the effective strategies nonprofit leaders use to retain volunteers to support their program objectives. Participants were six nonprofit leaders in north Texas who have successfully retained volunteers to support their program objectives. Data was collected using semi structured interviews and a review of publicly available documents …

Spartan Daily, December 03, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 41

Unconventional Binding Of Calmodulin To Chk2 Kinase Inhibits Catalytic Activity, Christopher R Horne, Tingting Wang, Samuel N Young, Toby A Dite, Hunter G Nyvall, Sushant Suresh, Katherine A Davies, Abner Gonzalez Castro, Vineet Vaibhav, Lucy J Mather, Laura F Dagley, Matthew J Belousoff, Gerard Manning, Anthony R Means, John E Burke, Janni Petersen, John W Scott, James M Murphy

Faculty, Staff and Students Publications

Calmodulin (CaM) serves an essential role in eukaryotic cells as a Ca2+ sensor. Ca2+ binding leads to conformation changes in CaM that enable engagement of a repertoire of enzymes and the regulation of their catalytic activities. Classically, Ca2+-CaM binds to an inhibitory pseudosubstrate sequence C-terminal to the kinase domain in members of the Ca2+-CaM-dependent protein kinase (CAMK) family and relieves inhibition to promote catalytic activity. Here, we report an unexpected mechanism by which CaM can bind CHK2 kinase to inhibit its kinase activity. Using biochemical, biophysical and structural mass spectrometry, we identify a direct interaction of Ca2+-CaM with the CHK2 …

Manuscript And Technical Studies, Mary F. Wheaton

University Libraries Faculty and Staff Publications

Extract

Winter’s Middle English Texts Series (MET) published a single volume this year, containing a number of editions of related medieval texts. Hans Sauer and Alessia Bauer’s To Instruct and Entertain – Medieval Didactic Dialogues is the first parallel-text edition of the Old English Prose Solomon and Saturn (SolSatP) edited from London, British Library, MS Cotton Vitellius A.xv and two copies of the Middle English Master of Oxford’s Catechism (MOC), edited from London, British Library, MSS Harley 1304 and Lansdowne 762. In addition to presenting these texts side-by-side, the editors have daringly attempted to construct a …

Anti-Imperialism & Neo-Colonialism, The Philosophical Discussion Group

The Philosopher's Stone

• Anti-Imperialism & Neo-Colonialism

Viability Of Widely Used Encryption Schemes In Drone Transmission, Emanuel Yasir Nelson

Cybersecurity Undergraduate Research Showcase

This paper presents throughout research on the security issues related to drone transmission. These topics were addressed and explained, in particular the aspects relating to cybersecurity, for utmost clarity. These include threats and vulnerabilities, drone transmission the impact of encryption on latency, and the details of the encryption methods AES-128, AES-256, and ChaCha20 that were used in the experiment described in the paper. Each encryption method performance was measured and outputted by the Python code developed and used in the experiment. Afterwards, the performance of each method was analyzed in relation to their decryption time, encryption time, end to end …

Strategies For Improving Supported Employment Services For Adults With Intellectual And Developmental Disabilities, Janelle Latoya Bailey

Walden Dissertations and Doctoral Studies

There is a growing need for supported employment services and improved programming among people with intellectual/developmental disabilities (I/DD). The research question for this study was; what are human service staff and administrators’ experiences and perceptions of what is working well in supported employment programs, and how to improve the services offered to adults with I/DD in a northeastern county? The tenets of Kurt Lewin’s change model form the theoretical framework for the study, to serve as a foundation for effective change. A force field analysis approach was used to gather narrative written data from open ended questionnaire responses to grasp …

Attrition Experiences Among Officers In A Texas Correctional Organization, Dewanou Frejus Aisse

Walden Dissertations and Doctoral Studies

The Texas Department of Criminal Justice (TDCJ) faces employee retention challenges, and recruiting and retaining correctional officers remains TDCJ’s most significant challenge and highest priority. Correctional facility leaders need to understand these challenges as indicators of workforce sustainability. Grounded in job embeddedness theory, the purpose of this general qualitative study was to explore the turnover experiences of Texas correctional officers, to understand why officers left their jobs, and the factors that contributed to their decisions to stay in their jobs. Participants comprised 11 former correctional officers who had worked between 5 months and 6 years for the TDCJ. Data were …

Emerging Tools In Plant Genome Editing, Shilpi Sharma, Naveen Kumar Saroha, Abhilasha Sehrawat, Guiliang Tang, Deepali Singh, Sachin Teotia

Michigan Tech Publications

Plant genome editing has undergone a transformative shift with the advent of advanced molecular tools, offering unprecedented levels of precision, flexibility and efficiency in modifying genetic material. While classical site-directed nucleases such as ZFNs, TALENs and CRISPR-Cas9 have revolutionized genome engineering by enabling targeted mutagenesis and gene knockouts, the landscape is now rapidly evolving with the emergence of novel systems that go beyond the conventional double strand break (DSB)-mediated approaches. Advanced and recent tools include LEAPER, SATI, RESTORE, RESCUE, ARCUT, SPARDA, helicase-based approaches like HACE and Type IV-A CRISPR system, and transposon-based techniques like TATSI and piggyBac. These tools unlock …

Fall 2025 Student Scholar Symposium Abstract Volume, Chapman University Center For Undergraduate Excellence

Student Scholar Symposium Abstracts and Posters

No abstract provided.

Opening The Door Of The Celluloid Closet, Melissa Hernandez

Student Scholar Symposium Abstracts and Posters

While watching the documentary, The Celluloid Closet, I was instantly intrigued by how queer people and cinema mixed. Going as far back to the black and white, silent films era, queer people have been used as comedic relief, but not in an appealing way. Constantly being the butt of the joke, disregard for queer people became so normalized that certain tropes started popping up in cinema. One trope that we can still see be used frequently in today’s films is the “bury your gays” trope (also known as the “dead lesbians syndrome”) where queer characters in cinema are not …

Echo Chambers In Encryption: How Germany's Netzdg Law Displaced Far-Right Discourse And Bolstered Afd Support On Private Platforms, Jackson Pace Campbell

Student Scholar Symposium Abstracts and Posters

This study examines the relationship between social media political engagement and support for Germany's far-right Alternative für Deutschland (AfD) party in 2021, arguing that the 2017 Network Enforcement Act (NetzDG) inadvertently displaced anti-immigration discourse from moderated public platforms into private encrypted spaces, fostering echo chambers and radicalization. Drawing on data from the German Longitudinal Election Study pre-election survey (N=5,119 nationally representative voters), logistic regression analyses test associations between AfD support and social media political use, controlling for socio-demographic and attitudinal factors. Findings confirm hypotheses: overall social media political engagement nearly doubles AfD support odds; private encrypted apps like Telegram and …

Bridging Machine Learning And Islamic Scholarship: A Study In Hadith Translation And Similarity Analysis, Asiyah R. Speight

Student Scholar Symposium Abstracts and Posters

Translation of Islamic religious texts poses unique challenges requiring both linguistic and theological expertise. This study explores the application of neural machine translation (NMT) models to Arabic-English hadith translation while analyzing semantic similarity patterns across different human translations. Using the complete Sahih Bukhari corpus (7,550 hadiths) as the primary dataset, we adopt a dual approach combining transfer learning and comprehensive neural network analysis to demonstrate the critical impact of corpus size on model performance.

First, we fine-tune a pre-trained MarianMT Arabic-English translation model on the full Sahih Bukhari corpus, comparing models trained on 40 hadiths versus 7,550 hadiths. Performance is …

Improving Palliative Care Knowledge And Intentions Among Great Plains American Indians: Efficacy Results From A Randomized Clinical Trial Testing A Culture-Centric Palliative Care Message, Mary J. Isaacson, Kah Meng (Charlie) Soh, Christopher S. Wichman, Gina Johnson, Kelly Le Beaux, Semhar Michael, Lisa Sparks, Karla M. Hunter

Communication Faculty Articles and Research

Background

Methods

Results

Medicaid Funding And Health-Related Social Needs: A Policy Analysis, Passion Ilea

Dissertations and Theses

The U.S. has disproportionately high health care spending compared to other high-income nations and comparatively poor health outcomes. The Centers for Medicare and Medicaid Services (CMS) have recently increased emphasis on addressing Medicaid member social needs. CMS believes addressing health-related social needs (HRSN) may reduce costs and improve health outcomes for Medicaid members. CMS has begun to test theories regarding the impact of member HRSN on health care by designing federal mechanisms to address HRSN, such as in lieu of services and settings-funded services, and by encouraging state Medicaid programs to develop their own approaches, such as Flexible Services. Information …

Investigating Dysfunctional Cognition Change As A Putative Mechanism Of Cbt For Youth Anxiety, Ocd And Ptsd: Protocol For An Individual Participant Data Meta-Analysis, Ivana Buric, Anke Klein, Ronald M Rapee, Brooke Levis, Philip C Kendall, Eric A Storch, Lynn Mobach

Faculty, Staff and Students Publications

Introduction: Anxiety disorders, obsessive-compulsive disorder (OCD) and post-traumatic stress disorder (PTSD) are common in children and adolescents and can lead to significant impairment. Cognitive behavioural therapy (CBT) with exposure is the first-line treatment, yet approximately half of treated youth do not achieve full remission. Dysfunctional cognitions-negative automatic thoughts, maladaptive beliefs and distorted interpretations-are considered key targets of CBT, but evidence in youth is mixed and underpowered. This study will examine whether change in dysfunctional cognitions mediates treatment outcome in anxiety, OCD and PTSD symptoms and whether this association varies across individual characteristics.

Methods and analysis: An individual participant data meta-analysis …

Travel Time To Treating Facility And Mortality In Men With Prostate Cancer, Stephan M. Korn, Filippo Dagnino, Danesha Daniels, Zhiyu Qian, Hanna Zurl, Klara K. Pohl, Mei Chin Hsieh, Brenda Y. Hernandez, Andrea Piccolini, Alexander P. Cole, Amanda J. Reich, Joel S. Weissman, Quoc Dien Trinh, Hari S. Iyer

School of Public Health Faculty Publications

IMPORTANCE Geographic access to prostate cancer care may influence outcomes but is often measured using straight-line distance, which may not accurately capture the travel burden experienced by patients. OBJECTIVE To evaluate the association between estimated travel time from patients’ residence to treatment facilities and all-cause and prostate cancer–specific mortality. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used data from the Multilevel Epidemiologic Tumor Registry for Oncology, a nationally representative, investigatorinitiated, population-based cancer registry that integrates geomasked residential and treatment facility information from multiple US state cancer registries. The study included patients aged 40 to 99 years from Hawaii, Louisiana, …

Restoration Of Sfrp3 Preserves The Neural Stem Cell Pool And Spatial Discrimination Ability In A Mouse Model Of Alzheimer's Disease, Chia-Hsuan Fu, Jin Park, Umberto Tosi, Francisco A Blanco, Manuel Silva-Pérez, Kavitha Muralidharan, Jason C You, Minjung Lee, Gabriel S Stephens, Xiaohong Zhang, Yi Zheng, Helen Scharfman, Kimberley F Tolias, Jeannie Chin

Faculty, Staff and Students Publications

Individuals with Alzheimer's disease (AD) have an increased incidence of seizures, which worsen cognitive decline. Using a transgenic mouse model of AD neuropathology that exhibits spontaneous seizures, we previously found that seizure activity stimulates and accelerates depletion of the hippocampal neural stem cell (NSC) pool, which was associated with deficits in neurogenesis-dependent spatial discrimination. However, the precise molecular mechanisms that drive seizure-induced activation and depletion of NSCs are unclear. Here, using mice of both sexes, we performed RNA-sequencing on the hippocampal dentate gyrus and identified differentially expressed regulators of neurogenesis in the Wnt signaling pathway that regulates many aspects of …

Imaging Of Dynamic Processes In Materials With A Laser-Wakefield Accelerator, J. Kang, R. J. Shalloo, M. J. Higgins, S. J.D. Dann, J. N. Gruse, C. I.D. Underwood, A. F. Antoine, C. Arran, C. D. Baird, M. D. Balcazar, N. Bourgeois, J. A. Cardarelli, K. Krushelnick, S. P.D. Mangles, C. D. Murphy, N. Lu, P. P. Rajeev, M. P. Selwood, D. R. Symes, C. P. Ridgers, A. G.R. Thomas, C. Thornton, Z. Najmudin, P. G. Sanders, P. D. Staublin, A. J. Shahani, M. J.V. Streeter

Michigan Tech Publications

Betatron x rays generated from laser-wakefield accelerators are a promising source for imaging dynamic processes in materials. Here, we present proof-of-concept imaging of microstructural evolution in a hypermonotectic Al-Bi alloy, which consists of liquid Bi particles in a solid Al matrix. The images capture the elongation and fragmentation of Bi particles upon isothermal annealing. Because of the femtosecond time scale of the betatron source, the images are not subject to motion blur, whereas the accessibility of the source allows for studies of long-term processes such as annealing. The high-resolution data reveal that the evolution of Bi particles is mediated by …

Artificial Intelligence In Higher Education: Opportunities And Challenges, Maytha Al-Ali, Adam Marks, Jasur Umirzokov, Noura Metawa

Iraqi Journal for Computer Science and Mathematics

While AI is often presented as a panacea for the challenges facing higher education, there is limited empirical evidence supporting its effectiveness in improving student learning and institutional performance. This gap between expectation and reality emphasizes the need for rigorous research, realistic goal-setting, and careful planning to ensure that AI technologies deliver on their promises in higher education. This study contrasts the potential utilization of AI technologies in Higher Education from the literature, against actual utilization in universities. The study also investigates the key barriers of AI implementation in higher education. This study uses a mixed-research methods approach, including case …

Retracted: Ai-Driven Flood Prediction, Monitoring, And Warning Systems: Design, Evaluation, And Simulation, Abdel Rahman A. Alkharabsheh, Lina M. Momani

Iraqi Journal for Computer Science and Mathematics

The Climate is becoming increasingly unpredictable, while the incidence of extreme weather is on the rise — both are contributing to surging global demand for advanced flood forecasting and monitoring services. This paper introduces an AI-powered Flood Monitoring and Warning System (FMWS) through an IoT sensor network, scalable real-time data analytics, and Machine Learning (ML) models to enhance the accuracy of prediction, risk analysis, and early warning dissemination in the notified areas. Hydrological and meteorological data would be collected by an ultrasonic sensor, a radar sensor, and a pressure sensor interfacing via GSM/GPRS, Wi-Fi, LoRa, or satellite network links. Machine …

Exploring The Potential For Data Storytelling Practices In Healthcare Communication, Shafaq Zehra, Naomi Jacobs, Dan Richards

IASDR Conference Series

The key challenges associated with the design of doctor-patient communication mainly include time constraints, cultural and language barriers and health literacy of the patients accessing care. The implications of the gaps in effective doctor-patient communication may lead to lack of compliance to treatment, weakened rapport building and lack of trust in the healthcare services. This paper qualitatively explores the context of the challenges associated with doctor-patient communication from a health care provider perspective. The main themes identified by in-depth interviews with clinicians were issues related to lack of trust, validity of patient’s information, lack of patient engagement and empowerment, and …

A Practical Introduction To The Method Of Blending Through Pattern In Weft-Knitted Stripe Structures To Improve The Overall Tactility Of Breed-Specific Wool Fibres., Wilmott Julia, Gaston Elizabeth, James Alana

IASDR Conference Series

The paper introduces ‘blending through pattern’, a method for significantly enhancing the tactile qualities of individual British broad wool fibres when combined in knitted fabrics. This approach is an alternative to traditional blending processes, such as spinning and twisting, because it utilises weft-knitted pattern structures to combine two, three or more yarn types together. Each yarn type is knitted through a single feeder, with the blending occurring in the same way that a pattern on the knitting machine combines different colours. Successfully blended fabrics exchange yarn types regularly to incorporate different fibre types effectively. This material-led approach to textile design …

Strategies To Foster A Collaborative And Sustainable Transformation: A Vietnam Textile & Apparel Case, Hong Lan Lam, Donna Cleveland

IASDR Conference Series

This case study explores strategies to support the transformation of Vietnam’s textile and apparel industry, particularly large garment exporting enterprises, toward more sustainable and designed-led business models. In response to increasing socio-economic and environmental challenges, the study identifies closer collaboration with academic institutions as a key enabler for building relevant future- facing skills. Drawing on reflexive practice through structured journal writing, the paper analyses a multi-stakeholder workshop facilitated by the International Labour Organization and the Vietnam Textile and Apparel Association (VITAS), highlighting tensions and opportunities in co-design approaches within hierarchical and culturally specific working environments. The concept of đồng- design, …

Generative Ai Meets Creative Design: Shaping A Dynamic Learning Ecosystem, Xiaomei Li, Ziming He, Leia Xi, Siye Zeng, Danyang Zhang, Ling Fan

IASDR Conference Series

This study explores how Generative AI (GenAI) is transforming creative design education through the development of a Dynamic Learning Ecosystem. Grounded in Activity Theory, we conducted a mixed- method study involving surveys, workshops, and interviews (N=38) across seven design disciplines. We addressed how different GenAI teaching approaches affect learning outcomes, challenges in integration, and effective educational framework construction. Our findings led to a multi-tiered Dynamic Learning Ecosystem framework, comprising modularized tool guides, integrative workflow practices, and contextualized knowledge synthesis. This framework offers practical methods for integrating GenAI in design education, enhancing students’ adaptability and competences in evolving technological environments.