Digital Commons Network^™

Breaking Point: Exploring Side Bets, Support, And Pension Investment As Predictors Of Turnover Intention In Urban Policing, Kenneth M. Quick, Kevin T. Wolff

Publications and Research

Guided by Becker’s side-bet theory, this study examines turnover intentions among officers in the New York City Police Department by assessing pension investment and affective commitment as accumulated organizational “side bets,” alongside job satisfaction, perceived organizational support, and workplace conditions. Data was drawn from an online survey of 1,454 officers. Population weights based on gender, race/ethnicity, and rank were applied to improve representativeness. Weighted multinomial logistic regression models examined predictors of turnover intention, while second-difference tests of average marginal effects (AMEs) assessed whether workplace factors operated differently across tenure groups. Results indicate that perceived organizational attitudes and workplace conditions significantly …

Information-Aware Autonomy Through State Estimation, Control, And Observability, Andres Enriquez Fernandez

Open Access Theses & Dissertations

State estimation is fundamental to autonomous systems operating in uncertain environments, where navigation, coordination, and decision-making depend on accurately inferring internal system states from incomplete and noisy observations. While classical estimation theory primarily focuses on reconstructing hidden states from available measurements, practical autonomous systems must also contend with sensing interruptions, communication constraints, limited computational resources, and nonlinear system dynamics that reduce the availability and usability of estimation-relevant information. This dissertation adopts an information-centric perspective on state estimation by introducing the concept of an Information Lifecycle, in which information is generated through system behavior, utilized by estimation algorithms under operational constraints, …

Inactive Nurses In New Mexico: Insights Into License Lapse And Inactive Reserve Status, Kiyoko Dell Davis

Doctor of Nursing Practice Scholarly Projects

Nursing shortages have varied over the decades, yet persist at local, national, and global levels. Nurses report leaving the workforce for many reasons, including professional environment factors resulting from these shortages, further exacerbating a shrinking workforce and population growth. Recent efforts include recruitment and education incentives and implementation of the New Mexico Board of Nursing (NMBON) Inactive Reserve Licensure option, which allows retiring nurses to maintain a reduced-scope nursing license with fewer barriers. Despite these efforts, questions remain: why are nurses in New Mexico leaving the profession and would this licensure category have impacted retention? The purpose of this project …

Improving Continuity Of Care: Evaluating Universal Nursing Handoff Sheets, Elizabeth Ifeloluwa Sanya

Doctor of Nursing Practice Scholarly Projects

Effective communication during nursing handoffs is essential for safe, patient-centered care, as breakdowns in communication are a leading cause of adverse patient outcomes. At a large academic level I trauma center, inconsistent nursing handoff practices were identified across progressive care units following the COVID-19 pandemic. This variability contributed to incomplete transfer of patient information and was associated with increased patient safety incidents, including delayed wound care, central line dressing lapses, and medication errors involving high-alert therapies. The purpose of this DNP project was to plan, implement, and evaluate the use of  standardized nursing handoff sheet and its impact on continuity …

Multicbr: Multi‑View Contrastive Learning For Bundle Recommendation, Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

Bundle recommendation seeks to recommend a bundle of related items to users to improve both userexperience and the profits of platform. Existing bundle recommendation models have progressed from capturing only user-bundle interactions to the modeling of multiple relations among users, bundles, and items.CrossCBR, in particular, incorporates cross-view contrastive learning into a two-view preference learningframework, significantly improving SOTA performance. It does, however, have two limitations: (1) the twoview formulation does not fully exploit all the heterogeneous relations among users, bundles, and items; and(2) the “early contrast and late fusion” framework is less effective in capturing user preference and difficultto generalize to …

Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang

Research Collection School Of Computing and Information Systems

Regular maintenance during non-traffic hours (NTH) is vital for the resilience of urban rail transit (URT) systems, yet an insufficient NTH maintenance window poses a challenge for URT systems in various cities. For instance, the Hong Kong MTR Corporation has noted that the required NTH maintenance time often exceeds the available window, prompting service adjustments such as earlier late-night closures and/or later early-morning starts. To address this challenge, this study develops an optimal scheduling framework that links late-night and early-morning URT services through the NTH maintenance window requirement to maximize public welfare. A Decoupled Optimization Model (DOM) first derives closed-form …

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 …

Deep Learning For Video Anomaly Detection: A Review, Peng Wu, Chengyu Pan, Yuting Yan, Guansong Pang, Qingsen Yan, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much good progress. In the era of deep learning, with the explosion of architectures of continuously growing capability and capacity, a great variety of deep learning-based methods are constantly emerging for the VAD task, greatly improving the generalization ability of detection algorithms and broadening the application scenarios. Therefore, such a multitude of methods and a large body of literature make a comprehensive survey a pressing necessity. In this article, we present …

Towards Uniformity And Alignment For Multimodal Representation Learning, Wenzhe Yin, Pan Zhou, Zehao Xiao, Jie Liu, Shujian Yu, Jan-Jakob Sonke, Efstratios Gavves

Research Collection School Of Computing and Information Systems

Multimodal representation learning aims to construct a shared embedding space in which heterogeneous modalities are semantically aligned. Despite strong empirical results, InfoNCE-based objectives introduce inherent conflicts that yield distribution gaps across modalities. In this work, we identify two conflicts in the multimodal regime, both exacerbated as the number of modalities increases: (i) an alignment–uniformity conflict, whereby the repulsion of uniformity undermines pairwise alignment, and (ii) an intra-alignment conflict, where aligning multiple modalities induces competing alignment directions. To address these issues, we propose a principled decoupling of alignment and uniformity for multimodal representations, providing a conflict-free recipe for multimodal learning that …

Rendering Data Unlearnable By Exploiting Llm Alignment Mechanisms, Ruihan Zhang, Jun Sun

Research Collection School Of Computing and Information Systems

Large language models (LLMs) are increasingly trained on massive, heterogeneous text corpora, raising serious concerns about the unauthorised use of proprietary or personal data during model training. In this work, we address the problem of data protection against unwanted model learning in a realistic blackbox setting. We propose Disclaimer Injection, a novel data-level defence that renders text unlearnable to LLMs. Rather than relying on model-side controls or explicit data removal, our approach exploits the models’ own alignment mechanisms: injecting carefully designed alignment-triggers to prevent effective learning. Through layer-wise analysis, we find that finetuning on such protected data induces persistent activation …

Avadclip: Audio-Visual Collaboration For Robust Video Anomaly Detection, Peng Wu, Wanshun Su, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

With the increasing adoption of video anomaly detection in intelligent surveillance domains, conventional visual-only detection approaches often struggle with information insufficiency and high false-positive rates in complex environments. To address these limitations, we present a novel weakly supervised framework that leverages audio-visual collaboration for robust video anomaly detection. Capitalizing on the exceptional cross-modal representation learning capabilities of Contrastive Language-Image Pretraining (CLIP) across visual, audio, and textual domains, our framework introduces two major innovations: an efficient audio-visual fusion that enables adaptive cross-modal integration through lightweight parametric adaptation while maintaining the frozen CLIP backbone, and a novel audio-visual prompt that dynamically enhances …

Robust Graph Learning On The Web: Challenges, Methods, And Applications, Ao Xiang, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He

Research Collection School Of Computing and Information Systems

Graph learning is transforming web intelligence, powering applications from recommender systems to anomaly detection. However, most existing approaches implicitly assume ideal conditions where training and testing data are accurate, complete, and free from manipulation. In reality, web environments rarely exhibit such stability. Dynamic user behavior, incomplete or outdated content, adversarial interference, and sudden distribution shifts can all erode the reliability of even state-of-the-art models, leading to biased or unsafe outcomes. This tutorial provides a comprehensive survey of emerging strategies for robust graph learning on the web. We first present a structured taxonomy of the principal robustness threats specific to web …

Divide-And-Conquer: Generating Ui Code From Screenshots, Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Websites are critical in today’s digital world, with over 1.11 billion currently active and approximately 252,000 new sites launched daily. Converting website layout design into functional UI code is a time-consuming yet indispensable step of website development. Manual methods of converting visual designs into functional code present significant challenges, especially for non-experts. To explore automatic design-to-code solutions, we first conduct a motivating study on GPT-4o and identify three types of issues in generating UI code: element omission, element distortion, and element misarrangement. We further reveal that a focus on smaller visual segments can help multimodal large language models (MLLMs) mitigate …

Congenital Heart Disease In Infants Of Diabetic Mothers (Pediatrics Hospital Based Study), Esraa Ali Mathboob Mahdi, Basil M. Hanudi

Iraqi Postgraduate Medical Journal

Background: Infants born to diabetic mothers are at elevated risk for neonatal complications, including metabolic, hematologic, respiratory, cardiac, and neurological disorders. Notably, insulin-dependent diabetes increases the likelihood of congenital heart diseases (CHDs). Aim: This study aimed to determine the incidence and associated factors of cardiac complications among neonates born to diabetic mothers and to identify the prevalent patterns of congenital heart defects in this population. Methods: An analytical cross-sectional study was conducted over a 10-month period (July 1, 2020 to April 30, 2021) at the Neonatal Care Unit of Child’s Central Teaching Hospital. The study included 100 neonates admitted within …

Effectiveness Of Vocational Therapy On Psychotic Symptoms Of Patients With Schizophrenia, Iman Ahmed Jumaa, Naamah Shlaibah Humaidi

Iraqi Postgraduate Medical Journal

AbstractBackground: Schizophrenia is a severe mental disorder often resulting in significant functional impairment. While antipsychotic medications are the cornerstone of treatment, complementary therapies are needed to address residual symptoms and improve functional outcomes.Aims and Objectives: This study aimed to evaluate the effect of adding a structured vocational therapy program to standard drug therapy in patients with schizophrenia.Materials and Methods: A prospective was conducted with 100 inpatients at Al-Rashad Hospital. Participants were divided into two cohorts: an intervention cohort (n=50) that received vocational therapy plus drug therapy and a control cohort (n=50) that received drug therapy alone. The Positive and Negative …

Association Between Cesarean Scar Niche Characteristics And Menstrual Irregularities: A Cross-Sectional Study, Ridab Ali Saeed, Ahmed R. Shaker

Iraqi Postgraduate Medical Journal

ABSTRACT:Background: Cesarean section is a prevalent obstetric procedure with potential complications, including the formation of uterine niches or isthmoceles. These defects are associated with irregular menstrual cycles and adverse gynecological outcomes.Aim of the Study: To evaluate the association between cesarean scar niches and menstrual irregularities, and examine whether niche size and myometerial thickness are linked to menstrual irregularities.Patients and Methods: This cross-sectional observational study included 200 women with a history of cesarean section. Participants were divided into regular and irregular menstrual cycle groups and further categorized by the presence or absence of uterine niches. Clinical and demographic data were collected, …

Neonatal And Maternal Outcomes In Pregnancies With Sonographically Diagnosed Nuchal Cord: A Prospective Cohort Study, Eman Muhammad Ramadan, Samar Sarsam

Iraqi Postgraduate Medical Journal

ABSTRACT:Background: Nuchal cords, where the umbilical cord encircles the fetal neck, are a common obstetric finding, potentially impacting neonatal and maternal outcomes. Their clinical significance remains debated.Aim of the Study: To evaluate the prevalence of nuchal cords in pregnancies at Al Elwiya maternity teaching hospital and to evaluate the association between nuchal cord presence and effects on neonatal and maternal outcomes.Patients and Methods: A prospective, single-center, cohort study was conducted at Al-Elwiya Maternity Teaching Hospital from first of January to first of December 2024. It included 600 pregnant women in the study 107 had an ultrasound diagnosed with nuchal cords. …

Use Of The Bethesda System For Reporting Thyroid Cytopathology In Thyroid Nodules Incoordination To The Appropriate Surgical Intervention, Rusul Abid Kareem, Basim Rassam Ghadhban

Iraqi Postgraduate Medical Journal

Background: The thyroid nodule refers to an abnormal growth of thyroid cells. Although the vast majority of thyroid nodules are benign, a small proportion of thyroid nodules are malignant. In order to diagnose and treat malignant thyroid nodules at the earliest stage, most of them need radiological and cytological evaluation. Fine-needle aspiration (FNA) using The Bethesda System for reporting thyroid cytopathology.Aim of study: To evaluate the significance of the Bethesda classification in detecting malignant thyroid nodule and relate the appropriate surgical intervention accordingly.Methods: prospective, case control study was conducted in Baghdad teaching hospital, 2nd floor. from 1st of December 2021 …

The Role Of Apparent Diffusion Coefficient Value Measurement In The Differentiation Of Ischemic Stroke From Multiple Sclerosis In The Brain, Jenan Mohammed Khalid, Amer Murad Gebur

Iraqi Postgraduate Medical Journal

Differentiating acute ischemic stroke from active multiple sclerosis (MS) plaques using conventional MRI can be challenging due to overlapping radiological features. The Apparent Diffusion Coefficient (ADC) provides a quantitative measure of water diffusion, potentially offering a solution to this diagnostic dilemma. This study aims to evaluate the role of ADC value measurements in distinguishing between acute ischemic stroke and acute demyelinating MS lesions. This cross-sectional study was conducted at a tertiary care center in Iraq from November 2024 to July 2025. All participants underwent a standardized brain MRI protocol on a 1.5-T scanner. ADC values were measured by manually placing …

Evaluating The Usefulness Of 24-Hour Video Eeg Monitoring In Dr. Sa’Ad Alwitry’S Hospital, Baghdad, Iraq, Ebtehal Dhiyaa, Akram Mohammad Al-Mahdawi, Muataz Fairooz Abd

Iraqi Postgraduate Medical Journal

Background: Video electroencephalography (VEEG) monitoring, which combines EEG with synchronized video recording, is a valuable but resource-intensive tool for evaluating seizure disorders. While its role in diagnosis and classification is established, its specific impact on altering provisional diagnoses and guiding treatment remains underexplored.Objective: To assess the diagnostic utility of 24-hour inpatient VEEG monitoring in confirming or modifying provisional diagnoses and reducing misdiagnosis in patients with paroxysmal events.Methods: A retrospective analysis was conducted on 192 patients who underwent VEEG monitoring at Dr. Saad Alwitry Hospital between January and December 2018. Patient records were reviewed to assess the impact of VEEG on …

Esophageal Stricture Post Congenital Tracheoesophageal Fistula Repair, Zaid A. Zaid, Momtaz Al-Nima

Iraqi Postgraduate Medical Journal

Background: It’s a narrowing of > 50% of the esophagus lumen or as a narrowing detected on a contrast study , or at esophagostomy in combination with symptomsTracheoesophageal fistula (TEF) is a relatively rare congenital anomaly occurring in one in 2500-3000 live births (3)Moreover, the life expectancy of the patients without proper treatment may be measured in weeksAim of study: evaluation of the demographics, surgical details, and postoperative outcomes of pediatric patients undergoing surgery for Tracheoesophageal Fistula (TEF) repair.Methods: The study was conducted at Pediatric Teaching Hospital/Medical City from December, 2022, to November , 2023. A total of 35 cases post …

Immunohistochemical Expression Of Estrogen Receptor In Papillary Thyroid Carcinoma With Lymph Node Metastasis, Furqan J. Albderi, Kaswer M. Altoriahi

Iraqi Postgraduate Medical Journal

Background: Papillary thyroid carcinoma (PTC) is the most common well-differentiated thyroid malignancy. The female predominance of PTC suggests a potential role for estrogen signaling, mediated through estrogen receptors (ER), in thyroid carcinogenesis and progression.Objective: This study aimed to evaluate estrogen receptor protein expression in papillary thyroid carcinoma with lymph node metastasis and to analyze its association with clinicopathological parameters.Methods: A retrospective study was conducted on 50 formalin-fixed, paraffin-embedded thyroid and corresponding lymph node tissue specimens from Iraqi patients with PTC and lymph node metastasis. ER expression was assessed by immunohistochemistry. Associations between ER expression and clinicopathological variables were analyzed using …

Evaluation Of Peripheral Nerves In Patients With Acromegaly By Electrodiagnostic Study, Taiseer Saad Musa, Farqad Bader Hamdan, Abbas Mahdi Rahmah

Iraqi Postgraduate Medical Journal

Background: Acromegaly is a rare multisystem disorder caused by excess growth hormone (GH) and insulin-like growth factor 1 (IGF-1), typically from a pituitary somatotroph adenoma. Neurological complications, particularly peripheral neuropathies, are common but under-investigated.Objectives: To evaluate peripheral nerve involvement in Iraqi patients with acromegaly and assess the impact of IGF-1 levels, disease duration, adenoma size, and other clinical variables on nerve function.Methods: A cross-sectional study included 41 acromegalic patients (≥25 years) who underwent detailed neurophysiological testing. Patients were classified as metabolically controlled or uncontrolled based on IGF-1 levels.Results: IGF-1 and GH levels were significantly lower in the controlled group (p<0.001), while other clinical variables showed no significant differences. Neurophysiological findings revealed significantly reduced sensory and motor amplitudes, prolonged latencies, and slower conduction velocities in the uncontrolled group. IGF-1 levels correlated positively with sensory and motor latencies and negatively with conduction velocities and CMAP amplitudes. Larger adenoma size and presence of diabetes were also associated with worse nerve parameters. Deep X-ray therapy and surgical excision showed beneficial associations with median nerve conduction velocity.Conclusion: Peripheral nerve dysfunction, including carpal tunnel syndrome and polyneuropathy, is more severe in metabolically uncontrolled acromegaly. Macroadenomas and poor biochemical control are linked with worse neurophysiological outcomes.

Family Medicine In Iraq: Bridging The Gap Between Training And Practice For Health System Reform, Eman A. Al-Kaseer

Iraqi Postgraduate Medical Journal

No abstract provided.

Vaccine Hesitancy And Uptake During Pregnancy: Investigating The Role Of Emotional Mental Imagery, Julie L. Ji, Zoe Bradfield, Lies Notebaert, Joshua Lake, Catherine Hughes, Jane Warland, Julian Basanovic, Colin Macleod, Margie Danchin, Christopher C. Blyth, Katie Attwell

School of Psychology

Background Vaccine hesitancy and suboptimal vaccine uptake pose significant threats to public health, but modifiable psychological factors underpinning them are under-investigated. We examined the prevalence of spontaneous emotional mental imagery relating to infectious diseases and perinatal vaccines and its unique associations with vaccine hesitancy and uptake behaviour. Methods In a two-part longitudinal study, a sample of 411 English-speaking pregnant women attending a large public maternity hospital in Western Australia completed a baseline survey assessing levels of vaccine hesitancy and vaccine uptake (status and timing) during pregnancy for influenza, pertussis, and COVID-19. Vaccine uptake data were collected through official immunisation records. …

Ms4 Swmpp 2026, John Kay

Municipal Separate Storm Sewer System (MS4) Permit

Stormwater discharges from Sandia National Laboratories/New Mexico (SNL/NM) are eligible for coverage under the National Pollutant Discharge Elimination System (NPDES) Municipal Separate Storm Sewer System (MS4) Permit. This Stormwater Management Plan (SWMP) was prepared by National Technology and Engineering Solutions of Sandia (NTESS) for the Department of Energy (DOE) National Nuclear Security Administration (NNSA) Sandia Field Office (SFO), owner of SNL/NM, located in Albuquerque, NM.

The Effect Of The Continuous Care Model On Self-Practices And Quality Of Life Among Preeclamptic Women, Amira Ahmed Altweel, Salma Abd-Elatty Moawed, Amr Mahmoud Riad, Shaimaa Hassan Mohamady

Nursing

No abstract provided.

Correlation Between Overthinking And Procrastination Behavior Among Nurses, Mona Hassan Abdelaal

Nursing

ABSTRACT Context: A key challenge in understanding internalizing psychological disorders is identifying the cognitive processes that sustain distress and disrupt effective functioning. Recurrent, hard-to-interrupt thinking patterns may interfere with individuals’ ability to initiate and complete intended tasks. Concurrently, individuals may persistently delay necessary actions despite recognizing their negative consequences, indicating a breakdown between intention and behavior. This pattern of delay appears to be associated with seeking short term emotional relief, reduced consideration of future outcomes, and avoidance of prolonged effort. While these issues have been studied independently, their overlapping mechanisms require further investigation. The potential role of repetitive cognitive processes …

Core Sipp Community Collaboration Report, Yvonnie Baik, Mahtab Soleimani, Camille Velarde, Elena E. Martinez, Theresa H. Cruz

Reports & Documents

The New Mexico Core State Injury Prevention Program (Core SIPP), in partnership with the University of New Mexico Division of Prevention and Population Sciences, implemented the Community Collaboration Initiative to support community-led, upstream approaches to injury and violence prevention. Five community-based organizations across New Mexico received funding to develop and implement projects addressing shared risk and protective factors identified through advisory group input and community listening sessions. Programs emphasized youth leadership, mentorship, cultural identity, healthy relationships, mental and behavioral wellness, community connectedness, and access to supportive adults and resources.

Across the five projects, 68 youth participated in programming. A retrospective …

Block Kinematics, Interseismic Coupling And Fault Slip Rates In The Aegean Region From Gps And Earthquake Slip Vector Data: 2. Hellenic Subduction System, Konstantinos Chousianitis, Volkan Özbey, Sotiris Sboras, Robert Mccaffrey, Semih Ergintav

Geology Faculty Publications and Presentations

The Hellenic subduction system is the primary locus of Nubia‐Eurasia convergence, yet thedistribution of strain accumulation along it is still debated. Here, we invert 832 geodetic velocities and 146earthquake slip vectors to assess the spatial variability of interseismic locking and provide new constraints onthe rate of slip deficit accumulation. We find that the subduction interface beneath southwestern Peloponneseand across the area from offshore south Peloponnese to offshore southwest of western Crete hosts three patchesof low to moderate locking (0%–40%) at 10–50 km depth whose slip rate deficits account for ∼15–30% of thetotal plate convergence. The offshore weakly locked patches show …