Digital Commons Network^™

Optimising Human–Ai Decision Performance: A Trust And Capability Framework For Knowledge Management, Eduardo Carlos Dittmar, Martin Sposato

All Works

Organisations struggle to optimise human–AI collaboration in knowledge-intensive decision-making. This paper proposes the Trust–Complementarity Model of Collective Intelligence (TCM-CI), explaining how calibrated trust and complementary capability utilisation drive superior organisational performance. Through systematic synthesis of human–AI interaction and knowledge management research, we identify three core mechanisms: (1) calibrated trust maximises collective intelligence by balancing appropriate reliance with necessary oversight, (2) complementarity–trust interaction determines optimal performance when high capability utilisation combines with appropriate trust levels and (3) dynamic feedback loops create reinforcing organisational learning cycles. The framework provides practical guidance for executives designing human–AI teams, developing trust calibration training, and establishing …

Household Expenditure And Insurance Adoption As Determinants Of Financial Risk In Urban Companion Animal Healthcare, Hong Yun Wu, Chee Vui Wong, Changh Hao Han

Jesselton Journal of Educators and Scholars

Urban households increasingly face financial exposure associated with companion animal healthcare in market-based systems where costs are largely borne out of pocket. This study examines how household expenditure and insurance adoption shape financial risk in urban companion animal healthcare. Using survey data from 500 urban households, the analysis investigates expenditure patterns, predictors of pet insurance adoption, and spatial variation in healthcare spending across urban districts. Regression results show that household income, number of pets owned, educational attainment, and age are significantly associated with variation in annual healthcare expenditure. Logistic regression findings indicate that insurance adoption is driven more by socioeconomic …

No Effect In Plasma Corticosterone Levels After Observation Of Diseased Conspecifics, B. M. Hardy, M. Chang, S. Mccallum, S. Santangelo, Patricia C. Lopes

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Organisms commonly respond to stressors in their environment by increasing the secretion of corticosterone (CORT). While increased CORT is acknowledged as a response to predation risk by organisms inhabiting a landscape of fear, new research raises the potential for changes in CORT as a response to the risk of infection by organisms in their environment. An increase in CORT of a healthy, uninfected individual in response to their perception of the risk of infection in their environment could change their susceptibility to infection, highlighting a significant role for CORT to alter host–pathogen dynamics. To investigate the effects of infection risk …

Publication Productivity Among International Medical Graduates And U.S. Medical Graduates In Neurosurgery: A Comparative Assessment Using The Arms Race Control Score, Joanna M. Roy, Omar M. M. Mansoor, Samit Sen, Aaron C. Segura, Rithvik Naga Ganti, Basel Musmar, Gilberto Perez Rodriguez Garcia, Brett Henshey, Saarang Patel, Sruthi Ranganathan, Victor Gabriel El-Hajj, Stavropoula I. Tjoumakaris, M. Reid Gooch, Robert H. Rosenwasswer, Christian Bowers, Pascal Jabbour

Department of Neurosurgery Faculty Papers

BACKGROUND AND OBJECTIVES: The Arms Race Control Score (ARCS) was developed to provide a quantitative assessment of publications among residency applicants. International medical graduates (IMGs) often have higher numbers of publications compared to U.S medical graduates (US MDs). However, there is limited knowledge of publication quality and effort among IMGs and US MDs. Our study analyzes publication productivity among IMGs and US MDs using the ARCS.

METHODS: Applicants were selected from ACGME-accredited training programs that enrolled both IMG and US MD residents over the 2018-2024 match cycle. Programs without IMG residents in a given year were excluded from the analysis. …

Executive And Managerial Insights Into Developing, Launching And Operating An Expansion Sport Franchise, Cole G. Armstrong, Timothy Kellison

Faculty Research, Scholarly, and Creative Activity

Purpose – The purpose of this paper was to investigate the organisational development processes used by the National Hockey League’s most recent expansion club, the Seattle Kraken, during their launch and early operational phases. This paper specifically focuses on the organisational development processes used by upstart sport franchises during periods of environmental turbulence. Design/methodology/approach – The authors conducted semi-structured interviews with seven Seattle Kraken executives and managers involved in the organisation’s development, launch and subsequent operations during the franchise’s first several seasons. Participants included individuals from various functional areas. The empirical material was analysed using reflexive thematic analysis to identify …

Hardwiring Best Practice: Leveraging Teamwork And Technology For Clinical Transformation, Jenifer Ash, Cheryl Ficara, Anna-Rae Montano, Laura Bailey, Laura Dzurec

Creating Healthy Work Environments (CHWE)

In the absence of appropriate tools, efficient teamwork, and clinician skills, cardiac monitoring has no therapeutic value (New South Wales Agency for Clinical Innovation, 2022). This initially shocking notion speaks to vital aspects of cardiac monitoring—underlying clinical necessity, early recognition and intervention in response to clinical changes, and alarm mitigation to avoid alarm fatigue. As healthcare context and technology become increasingly complex, reliance on the skill of individual clinicians is inadequate and unreliable for maximizing patient safety and well-being and for achieving optimal outcomes (McLaney et al., 2022). This presentation describes how one hospital group leveraged teamwork excellence and cutting-edge …

Mist: A Hierarchical Bayesian Framework For Detecting Differential Dna Methylation Dynamics In Single-Cell Data, Daoyu Duan, Wenjing Ma, Wen Tang, Hao Wu, Liangliang Zhang, Hao Feng

Faculty, Staff and Student Publications

Recent advancements in single-cell DNA methylation (scDNAm) sequencing technologies have enabled the profiling of epigenetic landscapes at unprecedented resolution, offering insights into cellular heterogeneity, differentiation and evolution. Trajectory inference, which orders cells along pseudotime, allows researchers to track genomics changes across continuous cell states and identify key loci exhibiting differential methylation. However, no methods currently exist to model methylation changes along pseudotime in scDNAm data. Here, we present a hierarchical Bayesian framework for scDNAm data analysis. Our method, named mist (methylation inference for single-cell along trajectory), models stage-specific biological variations, identifies genomic features with significant methylation changes along pseudotime, and …

On Message Encryption And Enhanced Security Using Protein Structure Information, Daniel Graham

Chemistry: Faculty Publications and Other Works

This is a lecture packet focused on several well-established encryption procedures. Included is a discussion of security enhancements brought about by incorporating protein structure information into the procedures.

2026-03-12 As Eduardo Penalver Departs For Georgetown, How Does He Leave Seattle U?, Natalie Schorr, Hadia Noor Ahmed

The Spectator Online

No abstract provided.

Spartan Daily, March 12, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 22

Cost-Effectiveness And Implementation Strategies For Hypertension Management Using Non-Physician Healthcare Workers In Low- And Middle-Income Countries: A Systematic Review, Gabriel Lamkur Shedul, Olutobi Adekunle Sanuade, Emmanuel Iroboudu Okpetu, Molly Beestrum, Dike Bevis Ojji, Lisa R Hirschhorn, Mark D Huffman, Dustin D French

2020-Current year OA Pubs

BACKGROUND: This review assessed the cost-effectiveness and implementation strategies of hypertension management by non-physician healthcare workers (NPHCWs) in low- and middle-income countries (LMICs).

METHODS: A systematic search (inception-May 2024) included adults ≥18 years managed by NPHCWs LMICs, following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Economic evaluations were assessed using Drummond's checklist and ROBINS-I.

RESULTS: Seven studies (2002-2022) conducted across eight countries enrolled 96-10,000 participants and included randomized, modeling, observational, and quasi-experimental designs. NPHCWs included pharmacists, community and village health workers, and nurses. Patients' mean age ranged 58-71 years, with 57-82% female. Outcomes assessed included cost per …

Roadmap: Integrating Artificial Intelligence In Structural Health Monitoring Systems, Simon Laflamme, Erik Blasch, Flippo Ubertini, Zheng Liu, John Wertz, Christine Knott, Matthew Cherry, Eric Lindgren, Fu-Kuo Chang, Amrita Kumar, Jack Poole, Keith Worden, Austin Downey, Jie Wei, Patrick F. Musgrave, Adrian S. Wong, Guiseppe Quaranta, Marco Martino Rosso, Giuseppe Carlo Marano, Yu Chen, Et. Al.

Faculty Publications

Advances in computing and machine learning (ML) methods have led to a rapid rise in artificial intelligence (AI) research and applications in many fields. AI research benefitted from advances in computation hardware, collection and distribution of large data sets, and proliferation of software techniques. AI techniques include ML for provable results, deep learning for data exploration, reinforcement learning for control, and active learning for adaptive systems. Likewise, AI algorithms can handle large amounts of data, construct unknown representations, and provide a direct link between data and classification for decision making. These unmatched capabilities have been seen as a path to …

Remotely Training Applied Behavior Analysis Practitioners To Conduct A Repeated Latency Functional Analysis, W. Daniel Oliver-Wong

USF Tampa Graduate Theses and Dissertations

Previous research has established functional analyses (Iwata et al., 1982/1994) as valuable tools for ABA practitioners. Despite previous findings, behavior analysts often default to other methods when identifying the maintaining variables of problem behavior. Several studies have examined training methods and variations of traditional functional analyses to increase clinical applications. The Repeated Latency Functional Analysis (RLFA) is a newly developed adaptation to the functional analysis (Han et. al., 2023). This study used video modeling to train three ABA practitioners in RLFA procedures through online role-play scenarios. The findings suggested that online video modeling is a promising training modality for ABA …

The Role Of Teacher-Student Identity-Matching In Multi-Informant Universal Screening For Social, Academic, And Emotional Behavior Risk Among Middle School Students, Melissa L. Brown

USF Tampa Graduate Theses and Dissertations

Multi-informant universal screening tools leverage insights from multiple perspectives to paint a comprehensive picture of student risk across a variety of domains. However, many barriers exist to the appropriate and effective implementation of multi-informant universal screening within the school. When such screening tools are utilized without intentional consideration of students’ unique backgrounds and lived experiences, harmful outcomes may disproportionally impact marginalized and minoritized students. To address this, context-sensitive, identity-conscious approaches may improve the accuracy and equity of identifying students in need of support. This study investigated the role of identity concordance (i.e., alignment of teacher and student gender and race/ethnicity) …

Genetic Testing Motivations Among Men With A History Of Prostate Cancer: A Judgment-Based Analysis, Maximilian Junge

USF Tampa Graduate Theses and Dissertations

Identifying individuals at increased hereditary cancer risk through genetic testing can improve early detection, inform treatment decisions, and enhance outcomes for patients and their families. While prior research has largely focused on women, less is known about factors that motivate men with prostate cancer to pursue genetic testing. This study examined components of visual messaging that may influence motivation to undergo genetic testing among men with a self-reported history of prostate cancer. Participants completed a survey in which they viewed eight visual messages that systematically varied across three components: image type (family-focused vs. individualized treatment-focused), written content (familial risk-focused vs. …

Amplicon Sequencing Reveals Shifts In Microbial Community Composition In Response To Nutrient-Dense Piney Point Emergency Discharges, Christa A. Baranowski

USF Tampa Graduate Theses and Dissertations

Due to a leak in the lining of a phosphogypsum pond at the former Piney Point phosphate-processing facility in Tampa Bay (Florida, U.S.A.), experienced a large influx of nutrient-dense waters in the early summer of 2021. As an emergency response effort, water samples were collected by researchers at the University of South Florida, College of Marine Science (USF CMS), covering the lower and middle regions of Tampa Bay (TB), over the span of three months (April – June). Illumina amplicon sequencing was performed on DNA from water samples, targeting bacterial and eukaryotic ribosomal rRNA genes, and processed into Amplicon Sequence …

Assessing Capability, Opportunity, And Motivation In Relation To Guideline Adherence For Inherited Cancer Risk, Cecilia L. Delisanti

USF Tampa Graduate Theses and Dissertations

Introduction: Although National Comprehensive Cancer Network (NCCN) guidelines provide cancer screening or risk reduction recommendations for individuals with germline pathogenic and likely pathogenic variants (GPVs) in actionable hereditary cancer genes, guideline adherence remains inconsistent, and the behavioral contributors to this gap remain understudied. To identify behavioral factors related to adherence across inherited cancer risk genes, this study used the COM-B model, which posits that capability, opportunity, and motivation shape health behaviors.

Methods: IMPACT study participants, all with GPVs in a variety of actionable genes, completed surveys (N=575). Minimal adherence was based on gene-specific NCCN guidelines. COM-B constructs (capability, opportunity, motivation) …

The Emotional Construction Of Religious Experience: Senitmentalism And Moral Motivations, Yvonne Candelario

USF Tampa Graduate Theses and Dissertations

This paper addresses the growing prevalence of reported religious experiences across diverse religious and spiritual traditions, alongside the persistent absence of such reports among many adherents within the same communities. This asymmetry poses a challenge for both supernaturalist and reductively skeptical accounts of religious experience. I develop a naturalistic constructivist framework to explain why some individuals choose to interpret and report some human experiences as religious experiences or report having religious experiences at all, while others do not. Drawing on a post-modern revision of moral theory, an account of constructive sentimentalism, I argue that religious experience is shaped by socially …

Mall For Lifelong Learning: Older Adults’ Self-Directed Language Learning Via Duolingo, Jihye Kim

USF Tampa Graduate Theses and Dissertations

Mobile-Assisted Language Learning (MALL) has proliferated due to rapid technological advancements, enabling language learning anytime, anywhere. Among these technologies, commercial applications such as Duolingo have achieved global popularity across diverse age groups. Despite this, research examining efficacy and User Experience (UX) has predominantly focused on undergraduate populations or formal educational settings. While a limited number of studies have explored populations outside university contexts (e.g., Puebla et al., 2022; Rosell-Aguilar, 2018), there remains a scarcity of research regarding the MALL experiences of older adults (aged 60 and above) in informal settings.

Taking a concurrent mixed-methods approach with an emphasis on qualitative …

From Protocol To Action: Critical Perspectives On Earthquake Preparedness In Mexico, Sandra Vaiciulyte, David A. Novelo-Casanova, Thalia Anagnos, Gerardo Suárez

Faculty Research, Scholarly, and Creative Activity

Purpose – This study explores perceptions and reactions to earthquake preparedness education, earthquake early warning (EEW) systems and earthquake drill protocols in Mexico, as well as potential strategies to make these earthquake preparedness tools more effective and meaningful. Design/methodology/approach – Eleven Focus Groups were conducted with 109 students from diverse academic and social backgrounds of the two largest public universities in Mexico. The findings were validated on a broader participant group using questionnaires, focused solely on the drill, administered to two populations at two distinct institutions following the 2025 National Earthquake Drill in Mexico City. Findings – Focus group findings …

From Niche To Norm: Plant-Based Labelling Strategies To Shift Social Norms To Support Plant-Based Food Choices, Houkje Adema, Marleen C. Onwezen, Ellen J. Van Loo, Liam Dwyer, Ellen Van Kleef

Department of Agricultural Economics Faculty Publications

Plant-based labels aim to promote plant-based choices by highlighting which products are plant-based. However, these labels are often applied selectively, leaving many more plant-based products unlabelled. We argue that this may unintentionally communicate that plant-based options are more ‘niche’ rather than the ‘norm’, and thereby hinder normalisation of plant-based consumption. Across two incentive-compatible experiments with representative Dutch samples in a simulated online supermarket, we examined how labelling interventions influence perceived availability of plant-based options, descriptive and injunctive social norms for choosing plant-based, and plant-based choices. In Study 1 (N = 1474), we manipulated the number of plant-based products labelled as …

Reasoning In Large Language Models Across Multilingual, Long-Context, And Symbolic Settings, Sina Bagheri Nezhad

Dissertations and Theses

Large Language Models (LLMs) are increasingly deployed as general-purpose reasoners, yet their reliability degrades in three settings that frequently arise in practice: multilingual inputs, long contexts, and symbolic or formally constrained domains. In multilingual settings, uneven training coverage produces substantial performance disparities and uncertain generalization to languages with little or negligible pretraining exposure. In long-context settings, relevant evidence may be sparsely distributed, and models exhibit the "lost-in-the-middle" phenomenon, undermining retrieval and multi-step synthesis. In symbolic settings such as mathematics, small arithmetic or logical slips invalidate solutions, and prose rationales are difficult to verify automatically.

This dissertation first characterizes these failure …

The Development And Validation Of A Portable Monitoring System For Real-World Prosthetic And Orthotic Performance Assessment, Emily Wyatt

USF Tampa Graduate Theses and Dissertations

Laboratory-based motion capture systems are widely used for gait analysis but are limited by high cost, infrastructure requirements, and restricted external validity. Inertial measurement units (IMUs) offer a portable and low-cost alternative for assessing gait in both controlled and real-world environments; however, their accuracy and clinical utility require validation. The purpose of this thesis was to develop and evaluate a portable monitoring system using IMUs to quantify spatiotemporal gait parameters and gait asymmetry in both laboratory and community settings, with a focus on prosthetic and orthotic users.

Phase 1 of this study evaluated the agreement between IMU-derived gait metrics and …

Transcription Factors Daf-16/Foxo And Hlh-30/Tfeb Form A Regulatory Axis To Control Tubular Lsysosomes Formation In C. Elegans, Cristian Ricaurte

LSU Doctoral Dissertations

The development of therapies that can be applied in human health care to promote longer and healthier lives is one of the main goals of aging research. However, many of the interventions currently available have serious adverse effects that limit their translational potential. Thus, new strategies are urgently needed to promote healthy aging in humans. Here, we reveal a functional interaction between the insulin signaling pathway and mTOR pathway that promotes healthy aging in C. elegans via lysosomal tubulation. Their respective transcription factors, DAF-16/FOXO and HLH-30/TFEB cooperate, to drive the formation of tubular lysosomes (TLs) under various contexts, which contributes …

Megakaryocyte And Platelet Thrombospondin-1 Regulates Matrix Remodeling By Stabilizing Basement Membrane Col6a1 In Lung Injury, Hernán F Peñaloza, Atish Gheware, Ananya Gupta, Donovan Watza, Anupam Kumari, Zeyu Xiong, Pooja Bhojraj, Jae-Sung Kim, Bo-Ram Jin, Kyunghee Choi, Matthew R Rosengart, Jaehyung Cho, Janet S Lee, Et Al.

2020-Current year OA Pubs

An early event after lung injury is extracellular matrix (ECM) remodeling and the formation of a provisional matrix. While megakaryocytes and platelets (Mgk/plt) play important roles in hemostasis, their impact on the matrix in lung injury is not fully understood. Using lung intravital microscopy, 3D large area scanning with multiphoton confocal hybrid imaging, and label-free quantitative proteomics, the matricellular protein thrombospondin-1 (TSP1) arising from Mgk/plt protects the lung from alveolar injury. Mgk/plt cell-specific Thbs1 knockout (cKO) mice show increased alveolar barrier disruption with exaggerated neutrophil-mediated injury. The cKO mice exhibit striking extracellular matrix re-organization with reduction in basement membrane matrix …

Cortical-Limbic Circuit Dynamics Of Approach-Avoidance Conflict In Humans, Brooke R Staveland, Julia Oberschulte, Barbara Berger, Tamas Minarik, Olivia Kim-Mcmanus, Jon T Willie, Peter Brunner, Mohammad Dastjerdi, Jack J Lin, Elizabeth L Johnson, Michelle Paff, Ming Hsu, Robert T Knight

2020-Current year OA Pubs

Choosing to approach or avoid is common in everyday life and excessive avoidance is a cardinal feature of anxiety disorders. We use intracranial EEG to define a prefrontal-limbic circuit supporting approach and avoidance. Presurgical epilepsy patients (n = 20) performed an approach-avoidance conflict decision-making task inspired by the arcade game Pac-Man, where patients trade off rewards against losses from ghost attack. During approach, theta power increases across a limbic circuit including the hippocampus, amygdala, orbitofrontal cortex and anterior cingulate cortex, which drops during avoidance. Theta connectivity between this circuit and lateral prefrontal cortex increases during approach and falls during avoidance. …

Costumes, Connections, And Community: An In-Depth Exploration Of The Dynamics Within The Cosplaying Community, Carlo L. Ortiz, Gabriel Louie Fil Limpin Darang, Danial Mendoza Shomalzadeh, Rodnae Lu Palmito Cayat, Jorge Carle Fontanilla Dacaimat, Carl Rangel Buslayan Dangsi, Alfonso B. Astudillo Iii

DLSU Senior High School Research Congress Conference Proceedings

Cosplay is a fun way to express oneself through costumes and roleplay that has given rise to a vibrant global community. While various studies have explored certain elements of this phenomenon, the cosplay community remains partially unexplored. This research aims to further investigate the dynamics of the cosplay community, providing meaningful insights into the identity processes, motivations, sense of belonging, and creativity that define it. Using in-depth interviews and online questionnaires, the research employs an inductive thematic analysis to examine how cosplayers interact with community-building, creativity, identity, and self-expression. Findings reveal that cosplayers actively engage with these aspects as they …

Undergraduate Research Institute Discovery 2026: Research Abstracts Booklet, Undergraduate Research Institute

Discovery Day - Prescott

No abstract provided.

Addressing Maternal Cardiovascular Mortality: The Role Of Policy In Reducing Preventable Deaths And Disparities, Matthew Mitts, Alexandra H. Latham, Christina Ackerman-Banks

Journal of Applied Research on Children: Informing Policy for Children at Risk

Maternal cardiovascular conditions now surpass hemorrhage and infection as the leading cause of pregnancy-related deaths in the United States, accounting for roughly one-third of preventable maternal fatalities. Unfortunately, stark racial and geographic inequities persist, with Black and Indigenous mothers dying at two to four times the rate of their White peers. Additionally, geography affects the risk, with rural residents facing a significantly higher risk than pregnant patients who deliver in urban centers. The physiologic changes of pregnancy function as a vascular stress test; therefore, pregnancy and postpartum offer a critical window of opportunity to identify women with a high lifetime …

Rethinking Legal Education: Demystifying Neurodiversity And Building An Inclusive Future, Jennifer Kindred Mitchell, Charlie Amiot

The Journal of Law Teaching and Learning

This article contributes significantly to the discourse on legal education by arguing that embracing neurodiversity not only enhances the learning environment for all students but also cultivates a legal profession that is truly reflective of societal diversity. Ultimately, neurodiversity should be embraced as an asset. By adopting inclusive practices, legal education can nurture the promise of ND students and improve outcomes for all. This article seeks to inspire a new paradigm that celebrates neurocognitive diversity’s contributions to the legal profession.

Neurodivergent (ND) students comprise approximately a quarter of the law school population, yet traditional legal education often fails to meet …