Digital Commons Network^™

Activity Transition Graph Generation: How Far Are We?, Jiakun Liu, Peixin Zhang, Han Hu, Yonghui Liu, Wei Minn, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Android applications (i.e., apps) are indispensable nowadays and are getting bigger and bigger with an increasing number offunctionalities. To understand how to access functionalities in an app, prior studies proposed tools to model the transitionsbetween functionalities with the activity transition graph (ATG). ATG is an important data structure and has been used forvarious Android app analyses, including app design, understanding, and testing. However, there is no benchmarking work onATG generation. It is still unclear whether the transitions identified by tools are correct and how many transitions are missed.To fill this gap, we manually identified all transitions in 98 applications to …

How Cultural Homogeneity Couples With Organizational Climate In Public School Environments, Steven R. Peterson

All-Inclusive List of Electronic Theses and Dissertations

This quantitative study examines how cultural homogeneity influences teachers’ perceptions of school climate in Indiana public schools. Grounded in systems thinking and organizational theory, the study analyzes how shared values and norms shape teachers’ responses to leadership practices and stakeholder demands. Data were collected from educators using the School Culture Survey and a custom scenario-based climate instrument capturing reactions to organizational challenges. Statistical analyses explored relationships between cultural homogeneity and teachers’ perceptions of stability, workload, and adaptive capacity. Results indicate that alignment in key cultural dimensions—particularly Collaborative Leadership—significantly shapes climate experiences, while overall homogeneity alone does not predict workload pressures. …

Development Of Medical Device For Hypovolemic Assessment Using Peripheral Venous Pressure, Connor J. Breshears

Graduate Theses and Dissertations

Accurate assessment of intravascular volume status remains challenging because traditional measurements such as heart rate, blood pressure, physical examination findings, and laboratory values may be subjective, delayed, or insensitive to early volume loss. Peripheral venous pressure (PVP) waveform analysis provides a potential approach for minimally invasive volume-status monitoring because PVP waveforms can be acquired from peripheral venous access and may contain frequency-domain information related to cardiac activity, respiratory modulation, vascular coupling, and intravascular filling. This thesis presents the development and evaluation of a proof-of-concept embedded prototype for PVP waveform acquisition and volume-status classification. The system integrates a Millar MEMS pressure …

Survey On Learning-Based Dynamic Fault Localization: From Traditional Machine Learning To Large Language Models, Chunyan Liu, Yan Lei, Huan Xie, Jinping Wang, Yue Yu, David Lo

Research Collection School Of Computing and Information Systems

Learning-based dynamic fault localization techniques play a crucial role in the field of software engineering. These techniques dynamically execute test cases to meticulously extract useful knowledge from the execution information in the program, with the aim of identifying fault locations by leveraging machine learning, deep learning, and large language models. Currently, there is already a flourishing body of research that is intensely focused on learning-based dynamic fault localization. Research literature can be categorized into two main aspects for learning-based dynamic fault localization: data-based enhancements (i.e., the datasets) and model-based enhancements (i.e., the suspiciousness algorithms). Thus, we conduct an extensive literature …

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning, Brahmanage Janaka Chathuranga Thilakarathna, Akshat Kumar

Research Collection School Of Computing and Information Systems

Sequential decision-making using Markov Decision Process underpins many real-world applications. Both model-based and model-free methods have achieved strong results in these settings. However, real-world tasks must balance reward maximization with safety constraints, often conflicting objectives, that can lead to unstable min–max, adversarial optimization. A promising alternative is safety reachability analysis, which precomputes a forward-invariant safe state–action set, ensuring that an agent starting inside this set remains safe indefinitely. Yet, most reachability-based methods address only hard safety constraints, and little work extends reachability to cumulative cost constraints. To address this, first, we define a safety-conditioned reachability set that decouples reward maximization …

Scattered Hypothesis Generation For Open-Ended Event Forecasting, He Chang, Zhulin Tao, Lifang Yang, Xianglin Huang, Yunshan Ma

Research Collection School Of Computing and Information Systems

Despite the importance of open-ended event forecasting for risk management, current LLM-based methods predominantly target only the most probable outcomes, neglecting the intrinsic uncertainty of real-world events. To bridge this gap, we advance open-ended event forecasting from pinpoint forecasting to scatter forecasting by introducing the proxy task of hypothesis generation. This paradigm aims to generate an inclusive and diverse set of hypotheses that broadly cover the space of plausible future events. To this end, we propose SCATTER, a reinforcement learning framework that jointly optimizes inclusiveness and diversity of the hypothesis. Specifically, we design a novel hybrid reward that consists of …

Mab-Dqa: Addressing Query Aspect Importance In Document Question Answering With Multi-Armed Bandits, Yixin Xiang, Yunshan Ma, Xiaoyu Du, Yibing Chen, Yanxin Zhang, Jinhui Tang

Research Collection School Of Computing and Information Systems

Document Question Answering (DQA) involves generating answers from a document based on a user’s query, representing a key task in document understanding. This task requires interpreting visual layouts, which has prompted recent studies to adopt multimodal Retrieval-Augmented Generation (RAG) that processes page images for answer generation. However, in multimodal RAG, visual DQA struggles to utilize a large number of images effectively, as the retrieval stage often retains only a few candidate pages (e.g., Top-4), causing informative but less visually salient content to be overlooked in favor of common yet low-information pages. To address this issue, we propose a Multi-Armed Bandit–based …

Co-Production Of A Mobile Application For Parents Of Acutely Ill Children Under Five: ‘Ipoorly Child Symptom Checker’, Sarah Neill, Amy Rathbone, John Downey, Monica Lakhanpaul, Damian Roland, Matt Carey

School of Nursing and Midwifery

Acutely-ill children under five years are increasing users of urgent and emergency care with no increase in acuity of presenting illnesses. This raises concerns about parents' knowledge and confidence in assessing the severity ofsymptoms of acute illness, despite the abundance of digital information available.Method:Weco-designedtheiPoorlychildsymptomcheckerappusingexperience-basedco-designmethodology with seven parents and seven health professional patient and public involvement representatives. The prototype was iteratively developed on a no-code platform, then released for testing on android and iOS app stores for six weeks. The app was downloaded 603 times and 60% of users completed the embedded evaluation form. Results: System usability scale items were all …

Learning By Writing: Exploring Authentic Legal Learning Through Case Summaries, Ee-Ing Ong, Wei Yang Quek, Duan Ning, Magdeleine Lew

Research Collection Yong Pung How School Of Law

We use authentic learning as a pedagogical framework in a collaboration between our law school and the national Supreme Court of a Southeast Asian country, which facilitates law students’ development of their legal analytical and writing skills, and helps them better bridge the gap between existing legal curricula and the needs of legal practice. Akin to a writing apprenticeship, students write summaries on selected Supreme Court judgments, with their output reviewed by faculty as well as judicial law clerks from the court. The results are published on the court’s website and circulated to other stakeholders. In the post-exercise survey, participating …

Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong

Research Collection College of Integrative Studies

A power station or transmission line can be affected due to bushfires, increasing operation costs. We study a fundamental but challenging problem of planning the optimal power flow (OPF) for power systems under bushfires. We develop a model to capture the stochastic nature of bushfire spread based on Moore’s neighborhood model and propose an online optimization modeling framework to sequentially plan power flows in the electricity network. Our framework assumes that bushfire spread is non-stationary over time and that the spread and containment probabilities are unknown. To address these challenges, we develop a contextual online learning algorithm that treats the …

Soilless Substrates As A Critical Control Point For Mitigating Food Safety Risks Within Hydroponic Leaf Lettuce Production, Eric Nuertey Tetteh

Graduate Theses and Dissertations

The effect of hydroponic soilless substrates and microbial biocontrol agents on the persistence of foodborne pathogens in indoor lettuce production is variable depending on substrate type, pathogen species, and biocontrol formulation. This study addressed key gaps by first characterizing the ability of different substrates to support Salmonella and Listeria monocytogenes survival and then evaluating the ability of pine biochar and Bacillus subtilis to suppress pathogen persistence in selected substrates under controlled conditions. In the first experiment, the persistence of Salmonella and L. monocytogenes was evaluated in four soilless substrates: rockwool (RW), low density foam (LDF), peat moss (PM) and coco …

The Narrative Dynamics Of Special Books By Special Kids Youtube Videos And Comments: A Study Of Disability Rhetoric And Public Narrative Engagement, Jessica Louise Allee

Graduate Theses and Dissertations

Digital media has expanded disability advocacy and community building by enabling accessible, visual storytelling and connection. Special Books by Special Kids (SBSK), a YouTube channel using interview-based disability storytelling, foregrounds people’s experiences with disabilities in the videos, while inviting viewers to interpret, identify with, and respond in the comments. As a participatory storytelling space, SBSK offers a site for examining how disability meanings are constructed, negotiated, and transformed through narratives, multimodal practices, and audience uptake, while revealing how dominant disability rhetoric or ableist discourse that positions people with disabilities as burdens, inherently deficient, or socially devalued, can be reproduced, complicated, …

Coupled Effects Of Sub-Atmospheric Pressure And Surface Structures On Pool Boiling Performance And Hysteresis Pathways, Mohammad Ishraq Hossain

Graduate Theses and Dissertations

The increasing power density of microelectronics has created a need for cooling technologies capable of maintaining low operating temperatures. Sub-atmospheric pool boiling of water is promising because reducing saturation pressure lowers the boiling temperature, enabling two phase cooling within electronics-relevant temperature limits. However, reduced pressure also affects CHF, HTC, and post-CHF recovery. In this work, pool boiling experiments were conducted on flat copper, microchannel copper, and micro-pin-fin copper surfaces over 10–100 kPa to examine the coupled effects of pressure and surface structure. CHF and HTC increased with pressure, while structured surfaces enhanced both relative to flat copper. Surface structure dominated …

Purifai: Detecting And Fixing Search-Induced Distortions In Web-Augmented Llms, Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao

Research Collection School Of Computing and Information Systems

As Large Language Models (LLMs) increasingly serve as interfaces for proprietary data (e.g., enterprise knowledge bases, legal statutes), ensuring their fidelity to trusted internal information is paramount. While integrating real-time web search can enhance model utility, it introduces a critical vulnerability: the ingestion of conflicting, misleading, or hallucinated content from the open web can override the model's adherence to its verified internal knowledge. We define this failure mode as search-induced distortion, a significant risk in high-stakes domains where the internal knowledge base serves as the absolute ground truth.To address this challenge, we present PurifAI, a proactive, model-agnostic, cache-level purification system …

Verbalizing Lightgcn: Direct Learning Of Textual Representations From User-Item Interaction Graph Via Llms, Manh-Khanh Ngo Huu, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

In this work, we propose VerbaLightGCN, a novel LLM-based recommendation framework that integrates the semantic understanding of LLMs with user-item interaction modeling. Traditional collaborative filtering (CF) models typically embed user and item IDs into a latent space to capture interaction signals. However, pretrained LLMs cannot natively interpret these learned embeddings. To bridge this gap, VerbaLightGCN adopts a CF-as-text paradigm, in which collaborative signals are encoded in textual form and directly learned from the user–item interaction graph, and are then combined with semantic information to construct user and item profiles that function as latent embeddings. Inspired by LightGCN, our method retains …

Generation-Augmented Video Corpus Moment Retrieval, Mingjin Kuai, Qianyin Xiao, Juncheng Li, Jin Peng, Lizi Liao, Wei Ji

Research Collection School Of Computing and Information Systems

Video Corpus Moment Retrieval (VCMR) requires models to efficiently retrieve and precisely locate specific moments relevant to natural language queries within a massive, untrimmed video corpus. However, existing discriminative approaches typically rely on shallow visual-textual feature matching mechanisms, which often struggle to capture fine-grained semantic differences. To address this limitation, we propose Video-GAR, a novel framework that reframes the conventional retrieval task from superficial matching to generative understanding, positing that the capability for query reconstruction evidences deep semantic comprehension. Specifically, Video-GAR orchestrates three synergistic components: To overcome the computational efficiency bottleneck, we construct a Bi-Mamba backbone that leverages the linear …

Evaluation Of The Impact Of A Pathology Trainee-Driven Manual Review Process For Reference Testing At A Large Academic Center, Carly Maucione, Christopher W Farnsworth, Mark A Zaydman

2020-Current year OA Pubs

BACKGROUND: Increasing reliance on and complexity of laboratory testing necessitates laboratory stewardship initiatives to ensure appropriate test ordering, especially as reference testing costs continue to rise. Prospective manual review processes, although demanding of resources, have been shown to be cost-effective, but literature addressing the value of such a process is lacking.

METHODS: The pathology trainee-driven manual review process of 444 chemistry and microbiology tests on approval at a large academic center was reviewed. Data were extracted from an internal-use call-log and analyzed for test volumes, cancellation rates, and cost savings. A hypergeometric distribution was used to model random variation in …

Maternal Health And Sociodemographic Characteristics Influence Infant Growth To 24 Months In The Tunza Mwana Cohort: A Prospective Cohort Study, David Taylor Hendrixson, Mark J Manary, Et Al.

2020-Current year OA Pubs

Upstream pathways influencing child growth are complex. Weight-for-age z-score (WAZ) reflects both ponderal and linear growth and can identify children at high mortality risk. Using data from a prospective cohort of 326 mother-child pairs in Kenya, we evaluated whether associations between maternal exposures and child growth outcomes in early and later childhood. Growth trajectories were examined using locally weighted scatterplot smoothing and piecewise linear mixed-effect models with a knot at age 3 months. Poisson regression models examined associations between maternal characteristics and child underweight (WAZ <  -2) and stunting (LAZ <  -2) before and after 3 months. Mean WAZ increased to a peak at 3 months before declining steadily through 24 months. Lower maternal education (adjusted β [aβ] -0.18; 95% CI: -0.24, -0.13), household crowding (aβ -0.2; 95% CI: -0.28, -0.11), lower wealth quintile (aβ -0.04; 95% CI: -0.06, -0.02) and multiparity (aβ -0.16; 95% CI: -0.23, -0.1) were associated with lower monthly rate of change in WAZ prior to age 3 months. Younger maternal age was associated with an increased monthly rate of change in WAZ (aβ = 0.13; 95% CI: 0.08, 0.18) before 3 months and decreased monthly WAZ (aβ -0.02; 95% CI: -0.03, -0.01) after 3 months. Preterm birth was associated with increased risk of underweight in both periods (aRR 2.77; 95% CI: 1.39-5.50). Maternal mental health, intimate partner violence and adverse childhood experiences were not significantly associated with child growth. Maternal nutritional, socio-economic and household-level factors shape early growth, emphasising the need for cross-sectoral programs to support growth.

Advancing Imbalanced Classification Through Representation Learning, Morteza Mohammady Gharasuie

Computer Science Theses & Dissertations

Real-world datasets frequently exhibit severe class imbalance, where certain categories are significantly underrepresented relative to others, leading standard empirical risk minimization to bias learning toward majority classes and degrade performance on minority categories. This dissertation addresses imbalanced classification across both structured tabular data and long-tailed visual recognition by developing methods that improve representation learning and decision reliability under skewed distributions. For tabular data, it introduces Conditional Probability Representation (CPR), a target-based encoding framework that embeds feature–label relationships directly into the representation space, enhanced by a progressive feature upgrading mechanism for semi-supervised settings and a class-frequency–aware extension that improves robustness to …

Procedural Justice And Instructional Alignment In Body-Worn Camera Policies: A Comparative Policy Analysis Of Large U.S. Urban Police Departments, Michael A. O'Connor

Theses and Dissertations from DePaul University

This study examined how written Body-Worn Camera (BWC) policies in large U.S. urban police departments operationalize Procedural Justice (PJ) through instructional alignment and how those policies shape expectations for officer training. Policy analysis showed that all departments required BWC activation during key encounters such as traffic stops and arrests and included some form of supervisory review. However, substantial variation existed in policies governing data retention, citizen notification, pre-report viewing safeguards and documentation requirements, and disciplinary guidance. These inconsistencies were most evident in the PJ dimensions of neutrality and voice, particularly where policies permitted pre-report viewing without consistent documentation requirements and …

Analysis Of Clinical Health Worker Notes With Explainable Artificial Intelligence For A Better Perspective In Preventing Readmission, Christopher Scott Klimp

Theses and Dissertations from DePaul University

Emergency Department (ED) readmissions remain a major challenge for healthcare systems, affecting both patient care quality and financial costs. Most prediction models depend largely on structured data from clinical tools that assign points to a small set of predefined factors – such as comorbidities, previous hospital visits, and behaviors such as smoking and drinking – and then sum those points to produce an overall risk score. These point-based tools leave out important information from Social Determinants of Health and a wealth of information from Community Health Workers (Community health workers (CHWs), trusted members of a community who help connect people …

Advancing Dimensional Models Of Psychopathology In Cancer: Insights From Applying The Hierarchical Taxonomy Of Psychopathology (Hitop), Darren Haywood, Jai Carmichael, Miriam K. Forbes, Roman Kotov, Robert F. Krueger, Aidan G.C. Wright, Susan L. Rossell, David Castle, Wendy Lam, Maryam Lustberg, Colin E. Vize, Anna Ugalde, Phyllis Butow, Nicolas H. Hart

Research outputs 2022 to 2026

Objective: Cancer survivors, defined as those living with or beyond a cancer diagnosis, experience more than double the prevalence of psychopathology when compared to the general population. Categorical diagnostic systems, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM), remain dominant in psycho-oncology despite concerns about reliability, validity, and clinical utility for this population. Dimensional frameworks, such as the Hierarchical Taxonomy of Psychopathology (HiTOP), offer a more precise alternative; however, they have not yet been widely applied in cancer survivors. Accordingly, the objective of this research was to examine the applicability of HiTOP to cancer survivors. Methods: Data …

Neuroprotective Effects Of Sorghum Polyphenol In Alzheimer’S Disease: In Vitro And In Silico Analyses, Rasheed A. Abdulraheem, Ralph N. Martins, Rajapandiyan Krishnamoorthy, Mohammad A. Alshuniaber, Prashant Bharadwaj, Zhaoyu Li, Ranil Coorey, Vijay Jayasena, Stuart K. Johnson, W. M.A.D.Binosha Fernando

Research outputs 2022 to 2026

Background/Objective: Accumulation of amyloid-beta (Aβ) senile plaques in the human brain is a major hallmark of Alzheimer’s disease (AD), which manifests as progressive decline in memory and cognitive functions and currently lacks effective disease-modifying therapies. Emerging evidence demonstrates that polyphenol-rich plant foods are potential complementary therapies for AD. Methods: In this study, we investigated crude polyphenol extracts (CPEs) and purified polyphenol extracts (PPEs) from three sorghum genotypes for their ability to inhibit Aβ42-induced toxicity in MC-65 cells. Thioflavin T fluorescence, cell viability, mitochondrial function, oxidative stress assays, and Western blotting, along with RNA sequencing and computational analyses, were used to …

Sliding Mode Control In Grid-Tied Inverters: Techniques, Applications, And Future Directions, Taimoor Muzaffar Gondal, Asma Aziz, Daryoush Habibi, Iftekhar Ahmad

Research outputs 2022 to 2026

Sliding mode control (SMC) has emerged as a robust and adaptive strategy for grid-tied inverters. It has unique attributes which make it an appropriate control choice under increasingly complex power systems. However, there are a limited number of review articles which comprehensively explore the true potential of SMC for grid-tied inverter applications. This systematic review has been structured to explore SMC techniques with respect to certain challenges, i.e., stability challenges, unbalanced conditions, low inertia scenarios, and harmonics distortion. The classification of various SMC techniques is presented with respect to their control law and sliding surfaces design. The comparative analysis indicates …

The Contribution Of Adolescent Cardiovascular Disease Risk Factors To Vascular Stiffness And Cardiac Remodelling In Young Adults, Anne E. Barden, Lawrence J. Beilin, Nick S.R. Lan, Amro Sehly, Girish Dwivedi, Rae-Chi Huang, Brendan Adler, Trevor A. Mori

Research outputs 2022 to 2026

Aims: Early identification of abnormalities in vascular and cardiac structure offers an opportunity for intervention to reduce future cardiovascular disease (CVD). This study examined factors contributing to increased CVD risk from adolescence to young adulthood. Methods and results: Raine Study participants (n = 716) classified as low- or high-CVD risk using cluster analysis at 17 years were re-studied at 27 years. Outcomes at 27 years were vascular stiffness assessed by pulse wave velocity (PWV) and left ventricular mass index (LVMI), left ventricular (LV), right ventricular (RV), and left atrial (LA) myocardial strain and respective ejection fractions (EF) assessed by cardiac …

The Effect Of Cyp1a2 Gene Polymorphisms On Caffeine Pharmacokinetics And Exercise Performance In Male Recreational Athletes, Chloe Masters, Ajmol Ali, Claire Badenhorst, Martin Dickens, Kay Rutherfurd-Markwick

Research outputs 2022 to 2026

This study examined the effects of caffeine consumption on endurance exercise performance, and the influence of CYP1A2 gene polymorphisms in caffeine pharmacokinetics and exercise performance. The data sets of two randomised, double blind, placebo-controlled crossover study design experiments have been merged. Thirty-eight recreationally active male participants provided saliva samples for CYP1A2 genotyping (AA homozygotes n = 19; AC heterozygotes n = 19) and completed either a 10-km run or 40-km cycling time trial of 60-min following a single dose of 6 mg·kg⁻¹ caffeine (CAF) or placebo (maltodextrin; PLA) throughout which heart rate (HR) and time to completion (TTC) were …

Co-Design And Pilot Testing Of A Nurse-Led Gp-Supported Self-Management Intervention For Breast Cancer Survivors With Cardiovascular Diseases: A Study Protocol, Anu Correya, Jing Yu Tan, Xian Liang Liu, Daniel Bressington, Leah East, Tao Wang

Research outputs 2022 to 2026

Background/Objectives: Self-management intervention strategies are recommended to address the needs of breast cancer survivors (BCSs) who have cardiovascular diseases (CVDs). Despite the benefits, these strategies are often suboptimally implemented, resulting in inadequate cardiovascular management among BCS with CVDs. The project aims to develop a nurse-led and GP-supported self-management (NGPS) intervention to reduce cardiovascular risks in BCS with CVDs and evaluate its feasibility and potential effects in primary care settings using the double diamond co-design process and the Medical Research Council (MRC) Framework for Developing and Evaluating Complex Interventions.

Methods: The study will be conducted in two phases. In phase I, …

Nursing Students' Evaluation Of Primary Health Care Clinical Placements - A Cross-Sectional Study, Debbie Procter, Megan Lee, Debbie Massey, Kylie Mccullough, Karen Strickland

Research outputs 2022 to 2026

Aim: Evaluate quality and satisfaction of nursing students' Primary Health Care clinical placements. Background: There is growing recognition of the need to expand the Primary Health Care nursing workforce, with positive clinical placement experiences considered essential for preparing and inspiring future careers in these settings; however, few graduate nurses choose this career path. Design: A cross-sectional study design using purposive sampling. Participants: Data were sourced from National Placement Evaluation Centre's 2023/2024 dataset using the validated PET–Nursing survey. The tool includes 20 items across two subscales - Clinical Environment and Learning Support, with the final item assessing overall placement satisfaction. Surveys …

Using Μ-Xrf To Quantify Redox Features In Bottomland Hardwood Forest Soils, Jaslyn Ilene Herold

Electronic Theses and Dissertations Archive

Secondary soil iron-manganese concentrations (FMC) form because of soil redox reactions and influence the cycling and availability of key nutrients and toxins in wetland ecosystems. However, the effects of landscape position and soil age on FMC formation are not well understood. This study examines the µ-XRF spectroscopy of FMC from soils sampled along terrace, floodplain, and channel landscapes in a bottomland hardwood forest in the Mississippi Embayment of western Kentucky. We found that FMC area is linked to epi- and endosaturation. The 25 µm resolution µ-XRF chemical maps show decreasing area with depth in episaturated conditions along the terrace and …

Challenge-Based Ex Vivo Immune Profiling Reveals Stimulus-Dependent Peripheral Immune Reprogramming In Alzheimer's Disease, C. A. Naranjo-Galvis, Jovanny Zabaleta, Ney Alliey Rodriguez, Luisa Matilde Salamanca-Duque

School of Medicine Publications

Altered immune function is increasingly recognized as a contributor to Alzheimer's disease (AD); however, it remains unclear whether peripheral immune alterations reflect constitutive inflammation or stimulus-dependent changes in immune responsiveness. Addressing this distinction is critical for understanding immune dysregulation in neurodegenerative diseases. In this study, we applied a challenge-based ex vivo immune profiling approach to characterize functional immune responsiveness in patients with AD and in cognitively healthy older adults. Peripheral blood mononuclear cells were exposed to defined innate, antigenic, and mitogenic stimuli, and cytokine and β-amyloid (Aβ) responses were quantified in culture supernatants. Diagnosis-by-stimulus interaction effects were assessed using generalized …