Digital Commons Network^™

Integrating Machine Learning And Explainable Ai For Employee Attrition Prediction In Hr Analytics, Maytha Al-Ali, Majed Alwateer, Shatha Abed Alsaedi, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. Elhosseini

All Works

Employee attrition poses significant challenges to organizations, impacting productivity, morale, and financial stability. Predicting attrition and understanding its underlying drivers are critical for implementing effective retention strategies. In this study, we propose a comprehensive framework that utilizes advanced machine learning techniques to predict employee attrition and job change likelihood. The framework integrates robust preprocessing pipelines, state-of-the-art predictive models, and explainability tools such as SHAP (SHapley Additive exPlanations) to ensure transparency and fairness in HR analytics. By addressing key challenges such as class imbalance, feature selection, and model interpretability, our approach provides actionable insights for proactive talent management. We evaluate the …

Towards Promoting Innovation In Inclusive Education: Behavioural Intention Of Teachers Towards Adopting Ai To Teach Students With Learning Disabilities In The Uae, Fatima Zraydi, Maxwell Peprah Opoku, Bernadette M. Guirguis, Laurent Gabriel Ndijuye, Ebenezer Mensah Gyimah

All Works

The integration of artificial intelligence (AI) in education offers significant potential for identifying and supporting all students, including those with learning difficulties. Although discussions on the potential of AI to advance the learning of students are ongoing, AI usage among teachers to leverage it in the teaching of students with learning disabilities in nonwestern contexts, such as the United Arab Emirates, is unresearched. The study was guided by a unified theory of acceptance and use of technology to examine teachers’ intentions toward adopting AI tools to enhance educational outcomes for students with learning disabilities in the UAE. Using a quantitative …

A Data-Driven Koopman Framework For Station-Keeping On Near Rectilinear Halo Orbit, Anusha Sharma Malladi

Theses and Dissertations

Cislunar missions have gained significant attention in recent decades, motivating the need for efficient modeling and reliable control. In this work a Koopman operator based framework is developed for approximating the error dynamics around a reference Near Rectilinear Halo Orbit (NRHO) in the Earth-Moon Circular Restricted Three-Body Problem (CR3BP). A decoder free neural network is used to learn a lifted linear representation of the nonlinear CR3BP dynamics and a residual based approach is used to identify the corresponding control input matrix. The model is then implemented in a receding-horizon target point controller and compared with uncontrolled propagation and a State …

Extending Geometric Acoustic Ray Tracing To Multi-Room Environments: A Case Study On Gunshot Sound Transmission Between Adjacent Rooms, Tyler Ton

Theses and Dissertations

Accurate localization of gunshots in multi-room building environments remains a challenging problem in acoustic forensics and public safety applications. Existing approaches model sound propagation within a single room, neglecting the transmission of acoustic energy through walls and other building materials. This thesis presents a study on modeling multi-room gunshot acoustic transmission, combining geometric ray tracing with structural acoustic transmission-loss modeling to generate impulse responses for two horizontally adjacent rooms separated by a shared wall, providing a foundation for future inter-room gunshot localization work. The proposed system uses GSound-SIR, a geometric acoustics engine, to simulate sound propagation in both of the …

Acute Management Of Hydropneumothorax Secondary To Esophageal Perforation After Laparoscopic Fundoplication, Chenxi Shi, Yu Wei Chang, Leah Joyner

Student Publications

Background: Laparoscopic fundoplication is commonly performed for refractory gastroesophageal reflux disease and symptomatic hiatal hernia, but rare postoperative complications such as esophageal perforation may result in significant morbidity and mortality if not promptly recognized.

Case report: We present a case of esophageal perforation complicated by massive hydropneumothorax in a woman who presented to the emergency department with progressive chest pain, abdominal pain, and respiratory distress two weeks after hiatal hernia repair with Nissen fundoplication. Emergent tube thoracostomy performed in the emergency department drained a large volume of purulent fluid and resulted in immediate respiratory improvement. Computed tomography with oral contrast …

Ambulatory Blood Pressure Variability In Prediction Of Target Organ Injury: The Ship Ahoy Study, Coral D Hanevold, Jang Dong Seo, Stephen R Daniels, Bonita E Falkner, Michael A Ferguson, Joseph T Flynn, Julie R Ingelfinger, Philip R Khoury, Marc B Lande, Kevin E Meyers, Mark Mitsnefes, Joshua Samuels, Elaine M Urbina

Faculty, Staff and Student Publications

Background: Ambulatory hypertension is associated with elevated left ventricular mass index (LVMI), cardiac dysfunction, and increased arterial stiffness in adolescents. Whether the addition of measures of BP variability improves the prediction of subclinical cardiovascular target organ damage (TOD) over mean BP measures is not known.

Methods: We assessed clinic and ambulatory BP (ABP), anthropometrics, and TOD in 397 adolescents. ABP means standard deviation (SD), BP, and heart rate (HR) dipping were calculated; coefficients of variability (CV) were calculated (SD/mean) to assess ABP variabilities. Measures of TOD included LVMI, left ventricular hypertrophy (LVH), LV systolic shortening, LV diastolic function (e'/a'), and …

In-Hospital Mortality Patterns And Readmissions In Patients With Chronic Obstructive Pulmonary Disease: An Analysis Of The Role Of Pulmonary Hypertension, Saad Afzal Khan, Trishna Parikh, Adishwar Rao, Akriti Agrawal, Aarohi Parikh, Farah Kazzaz, Sarah Shin, Harry Karmouty-Quintana, Maulin Patel, Kha Dinh, Bela Patel, Bindu Akkanti

Faculty, Staff and Student Publications

Chronic obstructive pulmonary disease (COPD) may be complicated by pulmonary hypertension (PH). We aimed to understand the impact of PH on in-hospital mortality and quantify the 30-day readmission rate among patients with COPD. For this cross-sectional study, we used the Nationwide Readmissions Database from 2017-2020 to identify adults ≥18 years with COPD. Patients were stratified according to PH diagnosis. Baseline characteristics between groups were compared using the Pearson chi-square test and two-sample t-test. Predictors of in-hospital mortality were determined using multivariate logistic regression analysis adjusted for demographics and confounders. The 30-day readmission rate and prevalence of PH subgroups by baseline …

Methylated Cfdna May Distinguish Between High- And Intermediate-Risk Uveal Melanoma: A Pilot Study, Mike Wu, Daniël P. De Bruyn, Ruben G. Boers, Aaron B. Beasley, Daan M. Hazelaar, Stavros Makrodimitris, Joachim B. Boers, Jolanda Vaarwater, Ronald O.B. De Keizer, Robert M. Verdijk, Nicole C. Naus, Dion Paridaens, Saskia M. Wilting, Elin S. Gray, Wilfred F.J. Van Ijcken, Joost Gribnau, Annelies De Klein, Erwin Brosens, Emine Kiliç

Research outputs 2022 to 2026

Background: Uveal melanoma (UM) is a highly aggressive malignancy with a metastatic risk that depends on the molecular subclass. This subclass can be determined through molecular characterization of tumor-derived tissue. With eye-sparing treatments, tumor tissue is rarely available for molecular testing. We hypothesized that minimal invasive biomarkers such as methylated cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) can be used for prognosis and monitoring of patients. Methods: Plasma cfDNA was isolated from healthy blood donors (HBDs, N = 19) and UM patients (N = 22). Plasma was collected at baseline (localized disease, N = 13) and during follow-up (metastatic …

Gender Gap In Returns To Publications, Piotr Śpiewanowski, Ivan Stetsyuk, Oleksandr Talavera

All Works

Gender equity in science depends not only on who participates in research, but also on how their work is rewarded. We examine gender gaps in monetary returns to research productivity, pay, and credit attribution using a novel dataset linking salary and publication records for professors at U.S. public universities. While our main contribution shows that there is no robust evidence of a significant gender gap in monetary returns to publications, we uncover substantial heterogeneity across disciplines and authorship structures. Women in medical and health sciences experience a negative gap in returns of 10.7% relative to men for equivalent research output. …

Anticipatory Governance And Leadership For Ai Implementation In Higher Education: A Scoping Review, Sandra Baroudi

All Works

As the education sector attempts to address rapid changes caused by Artificial Intelligence (AI), it becomes crucial to examine approaches to leadership at the organizational and system levels. This scoping review explores how anticipatory models of governance are conceptualised and operationalised globally within higher education settings in the context of AI-related transformations. Using a scoping review design, academic and grey literature published between 2020 and 2025 was searched across Scopus, EBSCOhost, ERIC, Google Scholar, and ProQuest. Nineteen sources were selected based on clear inclusion and exclusion criteria and analysed thematically. Findings revealed that while AI offers promising opportunities to transform …

Engineering Sulfur Concrete Mixes: A Data-Driven Approach To Aggregate Packing And Binder Efficiency, Vasilia Al Khaldi, Abdel Hamid I. Mourad, Maisa El Gamal

All Works

Processing window (mass loss < 3%). A first-order, order-of-magnitude carbon-footprint estimate—presented with explicit caveats rather than as a full life-cycle assessment—indicates that replacing Portland cement with by-product sulfur is the dominant contributor to a substantial reduction in embodied CO₂ per cubic metre relative to equivalent-strength Portland cement concrete. The valorization of steelmaking by-products aligns with circular economy principles, enabling high-performance, recyclable, and low-carbon construction materials without chemical binder modification.

How Leaders Build Employee Trust In Artificial Intelligence: Voice Opportunities, Humility, And Trust Transfer, Jack Mcguire, David De Cremer, Devesh Narayanan

Research Collection Lee Kong Chian School Of Business

Artificial intelligence is increasingly central to organizational work, yet employee trust in AI remains fragile. Although prior research has primarily explained trust in AI through technological characteristics such as transparency, reliability, and accuracy, we argue that trust in AI is also shaped by the social context in which employees encounter these systems. Drawing on affect-as-information theory and social information processing theory, we develop and test a model in which leader-provided voice opportunities reduce employees’ negative affect about AI-related work experiences, thereby enhancing perceptions of leader trustworthiness and, in turn, trust in AI. We further propose that this indirect effect depends …

Individual And Household Factors Associated With Tungiasis In A Marginalized Population In Karamoja, Northeastern Uganda, Lynne Elson, Abneel K. Matharu, Berrick Otieno, Hermann Feldmeier, Charles Waiswa, Amina Abubakar, Jürgen Krücken, Ulrike Fillinger, Francis Mutebi

All Peer-Reviewed Publications

Background: Tungiasis is a neglected tropical skin disease caused by adult female fleas which burrow into the skin of people and animals, causing considerable pain and itching. The distribution of the disease is heterogeneous, with Napak district, Karamoja sub-region of northeastern Uganda having the highest disease burden recorded globally. We aimed to determine the factors associated with this high prevalence to inform future intervention strategies. Methods: We conducted a cross-sectional study to identify factors associated with infection of individual children and adults, and a nested case–control study to identify factors for whole households (families). Infected children were identified through mass-screening …

Producer Organizations, Productivity And Sustainable Intensification Practices In Oil Palm Production, Martin Paul Tabe-Ojong, Abebayehu Girma Geffersa, Kibrom T. Sibhatu

All Peer-Reviewed Publications

Oil palm production is expanding in traditional farming and forested areas, especially in West and Central Africa around the Congo Forest Basin and mostly characterized by declining yields and yield gaps. Due to typically non-binding land access, independent producers tend to prioritize extensification over intensification, which has negative environmental consequences. Sustainable intensification (SI) of smallholder production is a guiding paradigm that aims to increase yields while minimizing negative environmental impacts. In this study, we examine the relationship between producer organizations (POs), sustainable intensification practices (SIPs), namely mulching and intercropping, and oil palm yields in Cameroon. We estimate actual and counterfactual …

Harnessing Insect-Derived Oils For Enhanced Efficacy Of Plant-Based Repellents Against Disease-Transmitting Mosquitoes, John Bwire Ochola, Cynthia M. Mudalungu, Hosea O. Mokaya, Xavier Cheseto, Gilvian N. Onsomu, Subramanian Sevgan, Segenet Kelemu, Baldwyn Torto, Chrysantus M. Tanga

All Peer-Reviewed Publications

Mosquito-borne diseases such as malaria, dengue, chikungunya, Zika, and yellow fever pose a growing global health threat, worsened by resistance to synthetic pesticides. This study evaluated insect oils from Schistocerca gregaria, Ruspolia differens, and Macrotermes spp. as adjuvants in plant-based mosquito repellents. The formulations were tested for complete protection time (CPT) against Anopheles gambiae, Aedes aegypti, and Culex quinquefasciatus, and volatile organic compounds (VOCs) emitted from treated volunteers were analyzed. Incorporating insect oils doubled CPT compared to essential oils alone. The most effective blend of Macrotermes oil with Cymbopogon nardus (1:1) achieved CPTs of 3.50 h for An. gambiae, 2.56 …

Harnessing Digital Twin (Dt) Technology For Food Security And Climate Resilience In Sub-Saharan Africa (Ssa), Henri E.Z. Tonnang, Francis Chianu, Siyabusa Mkuhlani, Francis Muthoni, John Michael Humphries Choptiany, Franck B.N. Tonle, Bonoukpoe M. Sokame, Mercy Lung’Aho

All Peer-Reviewed Publications

Sub-Saharan Africa (SSA) faces chronic food insecurity despite possessing approximately 60% of the world’s uncultivated arable land. Field trials generate evidence but are costly and insufficiently scaled to address accelerating climate and demographic pressures. Digital twin (DT) technology, defined as the continuous, bidirectional virtual replication of physical systems using real-time data, supports monitoring, modelling, and optimisation of agrifood systems. To our knowledge, however, no published synthesis has examined DT agriculture research through the lens of SSA food systems or smallholder farming realities. A PRISMA-compliant systematic review was conducted across bibliographic databases using a pre-defined Boolean search and adapted PICOS eligibility …

Primary Breast Sarcoma In Pediatric, Adolescent, And Young Adult Patients: A Single-Institution Retrospective Review, Amelie D. Perrier

Summer Research Program Abstracts

No abstract provided.

Machine Learning-Based Regression For Magnetic Field Prediction From Odmr Spectral Data, Jesse B. Hernandez

Electronic Theses, Projects, and Dissertations

Optically Detected Magnetic Resonance (ODMR) using nitrogen-vacancy (NV) centers in diamond enables sensitive, room-temperature magnetic field sensing, but real ODMR spectra are often noisy and difficult to analyze with traditional peak-fitting methods. This thesis investigates whether machine learning can reliably predict magnetic field strength directly from ODMR spectra, and compares four model families under a single regression task: a random forest, an artificial neural network (ANN), a one-dimensional convolutional neural network (1D-CNN), and a Transformer.

Training data were generated from an NV-ensemble simulation calibrated to real measurements provided by the Ulsan National Institute of Science and Technology (UNIST), spanning 0 …

The Economics Of Modern Basketball Fandom, Holden Velasco

Capstones

In an increasingly money-sucking economy, many Americans are feeling the aching of their wallets. Basketball, once serving as an escape from the outside world, has now turned into a money-making machine where fans are paying to keep it running. It’s inescapable, whether it’s the rising costs to watch the professionals, forking thousands of dollars for children to play or sports gambling being plastered everywhere. Basketball no longer feels like basketball.

Enhancing Agricultural Sustainability Under Climate Change: A Multi-Scale Framework Integrating Climate Extremes, Resource Efficiency, And Data-Driven Modeling, Shahryar Fazli

Computational and Data Sciences (PhD) Dissertations

Agricultural systems are increasingly challenged by climate variability, where shifting temperature regimes, hydrological variability, and the rising frequency of compound and cascading extremes threaten global food security and resource sustainability. Addressing these challenges requires integrated frameworks that bridge biophysical monitoring, predictive modeling, and adaptive decision-making. This dissertation develops a data-driven, multi-scale framework to quantify and enhance agricultural resilience by integrating remote sensing, climate analytics, and machine learning across the United States, with a focus on California and the Western U.S.

First, hyperspectral and thermal remote sensing data from EMIT and OpenET are integrated to characterize crop nitrogen–water interactions and assess …

Evaluation Of A No-Code Ai Model For Detecting Periapical Radiolucencies: Impact Of Anatomical Region On Diagnostic Performance, Manal Hamdan, Kevin W. Yu, Marguerite Miller, Stephanie J. Sidow, Zaid Badr, Sergio E. Uribe

School of Dentistry Faculty Research and Publications

Background

To develop a no-code artificial intelligence (AI) model for the detection of apical radiolucent lesions and to assess how lesion location influences the model’s diagnostic performance.

Methods

312 periapical radiographs were retrospectively collected, each accompanied by a corresponding cone-beam computed tomography (CBCT) scan obtained within six months and a radiology report authored by board-certified oral and maxillofacial radiologists. These reports served as the reference standard, and all findings were cross-verified by the primary investigator through CBCT review. The dataset included 181 images with at least one apical radiolucent lesion and 131 lesion-free controls. Using the no-code AI platform LandingLens …

A Projector-Rank Partition Theorem For Exact Degrees Of Freedom In Experimental Design, K. G. Nagananda

Mathematics and Statistics Faculty Publications and Presentations

In many experimental designs—split-plots, blocked or nested layouts, fractional factorials, and studies with missing or unequal replication—standard ANOVA procedures no longer tell us exactly how many independent pieces of information each effect truly contributes. We provide a general degrees of freedom (df) partition theorem that resolves this ambiguity. For N observations, we show that the total information in the data (i.e., N −1 df) can be split exactly across experimental effects and randomization strata by projecting the data onto each stratum and counting the df each effect contributes there. This yields integer df—not approximations—for any mix of fixed and random …

Methods For Tagging Whale Sharks: Insights Into Performance And Best Practices With A Focus On Clamp Attachments, Freya C. Womersley, Sofia Green, Alberto Garcia-Baciero, Ronan Conlon, Amy L. Jeffries, Matt J. Waller, Sara S. Ratão, Nuno Queiroz, Pedro Afonso, Gonzalo Araujo, Adam Barnett, Christine Barry, Michael L. Berumen, Farukhkha Bloch, Ginevra Boldrocchi, Camrin D. Braun, Ryan Caillouet, Constance Chapman, Jesse E.M. Cochran

Faculty Publications

Background: Biologging and telemetry have transformed our understanding of marine megafauna movement ecology. Yet, methodological constraints continue to limit data quality and deployment duration. Devices recording whale shark (Rhincodon typus) behaviours and movements have been used for decades, but they remain challenging to deploy and vary in success. Recently, spring-loaded clamp-based systems have emerged as one of the most widely used approaches to attach electronic tags to the fins of this globally endangered species. Currently, however, no consensus guidelines exist as to how to optimise this approach, potentially leading to continued underperforming deployments limiting analysis potential. Here, we synthesise experiences …

Mtorc2-Nav1.2 Signaling Drives Early Hyperexcitability In Alzheimer’S Disease Mouse Model, Nolan M Dvorak, Jeffrey L Noebels

Faculty, Staff and Students Publications

Hyperexcitability is a biomarker of early-stage Alzheimer’s Disease (AD) and hastens cognitive decline later in its course. Mechanistic target of rapamycin (mTOR) signaling contributes to the slope of this trajectory, as evidenced by early increased brain expression and the rescue of hyperexcitability by genetic deletion of mTOR complex 2 (mTORC2); however, a molecular mechanism directly linking mTOR signaling to membrane hyperexcitability in early-stage AD remains elusive. Here, we show that hyperactive mTOR signaling stimulates the voltage-gated Na+ channel 1.2 (Nav1.2), a previously identified downstream phosphorylation target of mTORC2 and a key regulator of membrane electrogenesis. Augmented Nav1.2 channel function induced …

Depression, Psychological Distress, And Coping Strategies Among African Migrants In Australia: A Cross-Sectional Web-Based Study, Uchechukwu Levi Osuagwu, Lillian Mwanri, Edith N. Botchway-Commey, David Chisanga, Agness Tembo, Nnaemeka Meribe, Kathomi Gatwiri, Obed Adonteng-Kissi, Kerrie P. Doyle, Frank Darkwa Baffour, Ahmed A. Moustafa

Research outputs 2022 to 2026

Background: African migrants constitute a significant proportion of the Australian population. While migration and resettlement offer opportunities, the associated stressors may adversely affect the mental health and well-being of African migrants. This study explored, for the first time, the prevalence of depression and psychological distress among African migrants in Australia and the relationship between coping mechanisms and mental health outcomes. Methods: A web-based cross-sectional survey of adult African migrants in Australia was conducted between February and May 2022. Participants (N = 167) who did not have a refugee status who resided in Australia for at least 12 months were recruited …

Nanofluid-Assisted Enhanced Sealing Containment Of Caprocks For Efficient Geological Co2 Storage, Muhammad Ali, Nurudeen Yekeen, Mujahid Ali, Nilanjan Pal, Mohammed Al Kobaisi, Alireza Keshavarz, Hussein Hoteit

Research outputs 2022 to 2026

Millions of tons of CO2 are stored annually in geological formations in order to reduce greenhouse gas emissions, relying on caprock as a seal to prevent CO2 leakage. The wettability of caprock is crucial for its effectiveness, and can be altered by organic acids present in the storage media. The present study investigates the impact of stearic acid on the CO2 wettability of shale, along with the potential of alumina nanofluids to reverse this effect. Using contact angle measurements, X-ray diffraction, and other analytical methods, the study reveals that stearic acid increases the CO2 wettability of shale, making it more …

Advancing Digital Technology Teacher Education Through The 3c Model, Peter Curtis, Michael D. Carey, Natalie Mcmaster, David A. Martin

Research outputs 2022 to 2026

The integration of digital technologies into teacher education is a significant development to prepare educators for the demands of contemporary classrooms. However, current teacher education programs often fall short in supporting pre-service teachers to understand the pedagogical shift toward embedding coding and computational thinking (CT) skills. In response, this paper presents the 3C Model (Context, Capabilities and Computational focus), a research-informed pedagogical framework designed to support pre-service and in-service teachers in delivering structured, curriculum-aligned instruction in coding and CT. Drawing on recent research, its findings, and its implementation in teacher education contexts, the 3C Model is presented as an innovative …

Body Composition And Muscle Health Changes After Providing Vascular Imaging Results In Older Adults: Secondary Analysis Of A Randomised Controlled Trial, Jack Dalla Via, Simone Radavelli-Bagatini, Marc Sim, Abadi K. Gebre, Catherine P. Bondonno, Kun Zhu, Shelby Mullin, John T. Schousboe, Richard J. Woodman, Markus P. Schlaich, Moira Sim, Pawel Szulc, Douglas P. Kiel, Wai H. Lim, Robin M. Daly, Jonathan M. Hodgson, Joshua R. Lewis

Research outputs 2022 to 2026

Background: Provision of vascular imaging results has been investigated to prompt changes towards healthy lifestyle behaviours, but effects on body composition and muscle health are unknown. Aim: This secondary analysis of a 12-week parallel-group randomised controlled trial (RCT) aims to explore body composition and muscle health effects of providing healthy lifestyle education (Ed) with and without abdominal aortic calcification (AAC) results. Methods: A total of 240 Australian community-dwelling older men and women (mean ± SD age 68 ± 5 years; 58% female; 57.1% with evidence of AAC) were randomised to AAC + Ed (n = 121) or Control + Ed …

Discriminative Performance Of Externally Validated Dementia Risk Prediction Models: A Systematic Review And Meta-Analysis, Blossom C.M. Stephan, Jacob Brain, Kaarin J. Anstey, Tanya Buchanan, Claire V. Burley, Elissa Burton, Jennifer Dunne, Linda Errington, Matthew Gorringe, Zhongyang Guan, Bronwyn Myers, Serena Sabatini, Marc Sim, William Stephan, Eugene Yee Hing Tang, Narelle Warren, Mario Siervo

Research outputs 2022 to 2026

Background: Data on the external validation of current dementia risk prediction models has not yet been systematically synthesised. This systematic review and meta-analysis collated results from three previous reviews to evaluate the predictive discriminative performance of dementia risk models when validated in population-based settings. Methods: Embase (via Ovid), Medline (via Ovid), Scopus, and Web of Science were searched from inception to June 2022 with an updated search conducted up to November 2024. Included studies (1) had a population-based cohort design; (2) assessed incident late-life (i.e. ≥ 60 years) dementia; and (3) reported predictive performance of at least one dementia risk …

Infestation By Phorid Flies Disrupts Behavior And Immune Function In Honey Bees Monitored By Radio-Frequency Identification, Gloria Ruiz-Guzmán, Oliverio Delgado-Carrillo, Francisco J. Balvino-Olvera, María De Jesús Aguilar-Aguilar, Violeta Patiño-Conde, Paulo De Souza, Ulises Olivares-Pinto, Mauricio Quesada

Research outputs 2022 to 2026

Honey bees (Apis mellifera Linnaeus) are important pollinators in natural and agricultural ecosystems and play a key role in global food production. However, colonies are increasingly affected by multiple stressors, including emerging parasites, which can compromise their health and performance. Among these, phorid flies (Diptera: Phoridae) have been observed in association with weak or collapsing honey bee colonies in various regions in Mexico, yet their effects on honey bee behavior and immune function under field conditions remain poorly understood. In this study, we investigated the impact of a phorid fly infestation on the behavior, survival, and immune defense of A. …