Digital Commons Network^™

Audio-Synchronized Personal Media Playback In A Streaming Interface, Devin Carder

Defensive Publications Series

A technique is proposed for audio-synchronized personal media playback in a streaming interface. A user interface associated with a content streaming platform is provided for presentation via a client device. The content streaming platform provides a current audiovisual track for playback. A user interaction with one or more user interface elements is detected. A determination is made of an emotional tone and a temporal characteristic associated with the current audiovisual track. A set of content items corresponding to the determined emotional tone is identified from a personal content repository associated with the user. The user interface is updated to include …

Systems And Methods For Detecting Silent Backward-Incompatible Api Contract Drift Using Runtime Structural-Semantic Fingerprints, Harsh Agrawal, Isha Navanath Shinde

Defensive Publications Series

A computer-implemented method for detecting silent backward-incompatible application programming interface (API) contract drift includes receiving API interaction data from one or more sources in a production environment, where the API interaction data includes request and response payloads for one or more API endpoints. The method includes normalizing the request and response payloads into structured representations and generating runtime structural-semantic fingerprints from the normalized payloads, where each fingerprint encodes field presence, field absence, hierarchical path structure, type signatures, nullability indicators, enumeration membership, and cross-field relationships. The method includes learning endpoint-specific behavioral invariants from historical API traffic, where the behavioral invariants capture …

Graph Based Context Ingestion And Automated Risk Identification Engine, Kautilay Siingh, Sanjeev Murthy, Shreyas Kc, Brianna Rezler, Aishwarya Hariharan Athreya

Defensive Publications Series

Systems and methods are provided for a risk identification and generation engine that performs security architecture analysis in a standardized manner. The engine automatically populates security questionnaires within a security architecture workflow and determines whether a feature requires a minor assessment or a detailed analysis. The engine generates dataflow and architecture diagrams, provides editing capabilities through drag‑and‑drop operations, and enables creation of additional diagrams. Threat models are generated using application context to identify security flaws at the design stage. The system stores design and technical security requirements, application details including summaries, APIs, and implemented controls, as well as records of …

Agent-Orchestrated Apparel Curation With Generative Ai-Based Visual Assessment, Sneha Kudli, Lakshmi Kumar Dabbiru

Defensive Publications Series

Some online fashion commerce experiences can be fragmented and labor-intensive, while certain human-led stylist services may lack scalability and real-time adaptability. A system and method are described for a personal shopper agent that uses artificial intelligence (AI) to automate apparel curation. The agent can synthesize a user's explicit preferences and implicit behavioral data to create a style blueprint. It may then query one or more product inventories for candidate items and use generative AI to produce virtual try-on images of these items on a user's three-dimensional body model. The agent can programmatically assess these images for fit and style to …

Explainable Tree-Based Ensemble Models For Diabetes Prediction Using Shap, Maan Y Anad Alsaleem, Omar Shakir Hasan, Yahya Albugg

AUIQ Technical Engineering Science

Due to the generally unqualified nature of prediction data and the difficulty of interpreting predictions, predicting diabetes remains a significant hurdle in the adoption of machine learning within the medical domain. In this study, several tree-based machine learning techniques (LightGBM, XGBoost, CatBoost, and Gradient Boosting) were applied to predict diabetes using the 2015 BRFSS dataset, while two ensemble methods (soft voting and stacking) were employed to improve predictive accuracy. The performance analysis of the individual models and ensemble approaches indicates that CatBoost achieved the highest accuracy among the single classifiers (0.871), with an F1-score of 0.871 and a ROC–AUC of …

Chronotropic Response To Intratracheal Versus Intravenous Atropine In Anesthetized Adult Patients: A Randomized Controlled Trial, Ammar H. Mahdi, Majid Alhamaidah, Myasar J. Mohammed, Hussein Ali Hussein, Hussein Alkhfaji

AUIQ Complementary Biological System

Atropine is a commonly used anticholinergic agent in anesthetic practice, administered primarily to counteract bradycardia. Rapid treatment of intraoperative bradycardia is clinically critical, as delays may lead to hemodynamic compromise. This study aimed to compare the onset, magnitude, and duration of the chronotropic response to atropine administered via the intravenous (IV) versus intratracheal (IT) route in anesthetized adult patients. A prospective, single-blind, randomized controlled study was conducted on 60 adult patients classified as American Society of Anesthesiologists (ASA) physical status I-II, scheduled for elective peripheral surgery under general anesthesia. Patients were randomly allocated into three equal groups (n = 20 …

Statistical Assessment Of Groundwater Quality In Selected Areas Of Samarra District: Effects Of Land Use And Geological Setting, Ahmed K. Ibrahim

Engineering and Technology Journal

In this study, 25 newly drilled wells were selected in the Samarra district, which has an estimated area of about 350 km², and included rural and urban areas with various agricultural, industrial, and residential activities. Water samples were taken from the wells every two months starting in November 2023 and continuing until September 2024. Physical tests were conducted, including total dissolved solids and electrical conductivity, as well as chemical tests that included pH, total hardness (TH), calcium (Ca), magnesium (Mg), sodium (Na), potassium (K), sulfates (SO₄^–2), nitrates (NO₃^–), and chlorides (Cl). Concentrations …

Experimental And Numerical Analysis Of Mechanical Properties Of Uhmwpe Nanocomposite Reinforced With Nano-Hydroxyapatite, Heshw A. Hassan, Diyar O. Kaka

Engineering and Technology Journal

Recently the polymer nanocomposites have shown significant development, enabling substantial improvements in the performance of conventional polymers that reflect large influences on the products and industry. Ultra-high molecular weight polyethylene (UHMWPE) is widely employed in biomedical and structural applications, their mechanical properties can be tailored through the incorporation of nanoscale fillers. In this study, nano-hydroxyapatite (nHA) particles were incorporated into UHMWPE at reinforcement loadings of 0.5, 1.0, 3.0, and 5.0% content experimentally, and different volume fraction numerically to evaluate their effect on the material's mechanical behavior. A Representative Volume Element (RVE) based on finite element analysis (FEA) was developed to …

Enhanced No₂ Gas Sensing Using Silver-Doped Cadmium Telluride Nanocrystalline Thin Films, Tunis Balasim Hassan

Karbala International Journal of Modern Science

Nitrogen dioxide (NO₂) is a toxic pollutant that necessitates sensitive and reliable monitoring systems. Conventional gas sensors often lack adequate responsiveness and fast recovery under changing conditions and therefore create a need for semiconductors with enhanced performance, especially at high industrial temperatures (around 250 °C). The study therefore aims to synthesis and evaluate silver-doped cadmium telluride (Ag:CdTe) thin films as NO₂ gas sensors. Pure CdTe and Ag:CdTe with silver concentrations of 5, 10, and 15 wt% were prepared by a co-precipitation process. XRD verified cubic symmetry with a progressive fall in crystallite size (6.67 nm to 5.46 nm at 15 …

Exploring Resource-Efficient Deep Learning For Medical Image Segmentation, Pallabi Dutta

Doctoral Theses

Automated medical image segmentation improves diagnostic accuracy by au tomating the precise delineation of target anatomical structures in the input images. Artificial Intelligence (AI), and specifically, Deep Learning (DL), has emerged as a state-of-the-art approach for this task. However, the significant computational demands of DL approaches often hinders their deployment. Ad vanced models, including Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), require substantial processing power and a large memory footprint, limiting their use in resource-constrained settings. This thesis aims to address this challenge by developing a series of novel, resource-efficient DL models that achieve high segmentation accuracy with reduced …

Digital Preservation Committee Annual Report 2025-26, Ella Hitchcock

NASIG Newsletter

No abstract provided.

Does Relationship-Centered Communication Partner Training Improve Perceived Marital Attachment, Communication, And Psychosocial Well-Being In Couples Impacted By Aphasia?, Sarah Janalee Laws

Theses and Dissertations

This study explored whether Relationship-Centered Communication Partner Training (RC-CPT) improved perceived marital attachment, communication, and psychosocial well-being in couples impacted by aphasia. A quasi-experimental design was implemented to assess the impact of RC-CPT on various marital outcomes. Twelve married couples participated in the study, with each couple including one spouse with post-stroke aphasia. The Brief Accessibility, Responsiveness, and Engagement Scale (BARE) was used as the primary outcome for this study, assessing attachment behaviors within couples. Secondary outcome measures included the Loneliness Scale Questionnaire, the Relationship Questionnaire, the Conflict and Conflict Resolution Questionnaire, and the Kessler Psychological Distress Rating Scale. Pre-testing …

Assessment Of Groundwater Quality For Irrigation Purpose In Asfan, Saudi Arabia, Abdelilah Khattab, Zaki Al-Hasawi, Talal Almeelbi

Journal of King Abdulaziz University: Meteorology, Environment and Arid Land Agriculture

Saudi Arabia faces a severe water scarcity, making groundwater the primary source for agricultural activities and underscoring the need to assess its quality to ensure sustainable agriculture, given its direct impact on crop performance, soil properties, and overall productivity. This study evaluated the suitability of groundwater for irrigation in the Asfan area of Al-Jumum Governorate, Makkah Region, in western Saudi Arabia. Water samples were collected from nine wells distributed across five farms and analyzed to measure a wide range of physical and chemical parameters, including temperature, total dissolved solids (TDS), total suspended solids (TSS), turbidity, salinity, electrical conductivity, pH, dissolved …

Temporomandibular Joint Ganglion Cyst Causing Dynamic External Auditory Canal Obstruction And Position-Dependent Hearing Loss: A Case Report And Literature Review, Ali Akbar, Abdulrahman Meerza, Craig Pearl

Faculty, Staff and Student Publications

Purpose: Ganglion cysts of the temporomandibular joint (TMJ) are uncommon periarticular lesions and may be diagnostically challenging because symptoms are often nonspecific. When these lesions arise posterior to the joint, they can produce otologic complaints through dynamic narrowing of the external auditory canal (EAC). Herein, we report on a histologically confirmed TMJ ganglion cyst causing position-dependent hearing loss and review the relevant literature.

Case description: A 72-year-old woman presented with a 3-year history of bilateral preauricular pain, left-sided tinnitus, left aural fullness, and near-complete hearing loss in the left ear when the mandible was closed in occlusion. Clinical examination showed …

Visualization And Marker-Less Tracking Of User-Defined Pre-Processed Mri Articulator Data Using Deep Learning, Michael De George

Student Theses

This thesis presents a comprehensive framework for the automated tracking and visualization of articulatory movements based on magnetic resonance imaging (MRI) data. A well-known data analysis tool for markerless pose estimation, known as DeepLabCut, is investigated for this purpose. The performance of this tool is enhanced through the design and implementation of a pre-processor. DeepLabCut is a markerless pose estimation toolbox based on deep learning, which overcomes the issue of making manual annotations frame-by-frame. Limitations from manually marking the MRI images are addressed by implementing transfer learning with convolutional neural networks to achieve accurate, user-defined articulator tracking without markers. Current …

Executive Committee - Agenda, 05/19/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

Ucf Pegasus Plan - 1st Grade - National Holidays, Ania Calbough, Paola Cedeno, Danielle Linare

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

No abstract provided.

The Impact Of Optimization Approximation Algorithms On The Performance Of The Bht-Qaoa, Ali Al-Bayaty, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

This article investigates the performance impact of five classical optimization approximation algorithms on our previously introduced quantum search algorithm, termed the Boolean–Hamiltonians Transform for Quantum Approximate Optimization Algorithm (BHT-QAOA), to effectively search for all best-approximated solutions for Boolean-based problems. These optimization approximation algorithms are BFGS, L-BFGS-B, SLSQP, COBYLA, and COBYQA. Their performance impact is evaluated and compared using two proposed performance metrics—(i) the final number of function evaluations (the lower numbers denote the best optimization approximation algorithms) and (ii) the final quality of qubit measurements (the higher values indicate all best-approximated solutions were found for a problem). Arbitrary classical Boolean …

Machine Learning For Modeling In An Elementary Differential Equations Class, Nathan Albin, Andrew G. Bennett, Abhinav Chand

CODEE Journal

Mixing machine learning with modeling is an area of increasing importance. This paper presents a lesson where students model a spring-mass system both using traditional analysis with linear damping and using machine learning to learn the damping from real data. The machine learning is implemented in a Jupyter notebook hosted on Google Colab, allowing students to train the neural network without requiring the students to carry out coding. Students get experience with how machine learning can fail, how it can work, and the time and data requirements for machine learning to succeed, and are asked to apply this knowledge to …

Towards Beneficial Curatorial Experiences: Case Studies At The Smithsonian Folklife Festival And Smithsonian Folkways Recordings, Christine Pash

Electronic Dissertations and Theses, 2010-current

Museums and other curatorial institutions have often taken control in presentations about communities to which the institutions’ decision-makers do not belong. This action has contributed to maintaining systems of power, privilege and oppression like colonialism and created negatively impactful acts like erasure of queer histories. In this context, some communities have built their own curatorial institutions, controlling presentations of what they do. However, some individuals note benefits of presenting at institutions outside their communities. My dissertation provides practical methods for navigating this conflict between curatorial control and benefits of presenting one’s work at an institution that takes away some of …

Songs For A Burning World: Youth-Led Storytelling Through Vr And 360° Opera, Toby Young, Lucinda Jarrett, Misha Myers

School of Art, Design and Architecture

Songs for a Burning World is a youth-led, co-created immersive opera realised through 360° film, VR, and dome exhibition. Developed through extended online workshops with young participants across twenty countries, the project mobilises operatic voice and sound-led XR practices to articulate climate experience as lived, situated, and plural. Youth and community members are positioned as authors and co-researchers, shaping narrative, sonic material, pacing, and modes of address, rather than contributing testimony to pre-existing frames. Their songs, spoken texts, field recordings, and visual material form both the content and the method of the work, foregrounding embodied knowledge about the climate crisis …

In The Wake Of Sound: On Field Recording, Materiality, And Reparative Listening, Ivy Fu

Dartmouth College Master’s Theses

This thesis develops a practice of field recording, spatial audio composition, and soft-circuit installation grounded in what I call reparative listening: a slow, materially attentive form of attention oriented toward what dominant recording apparatuses suppress, discard, or fail to register. Across five major projects—Fable Upon Ununified Grounds (2023), Cocoon (2024), Tether (2025), Hide & Seek (2026), and Frequency Commons (2026)—I treat sound not as an extractable output but as a relational event shaped by site, body, material, and signal loss. The work draws together Jane Bennett's vibrant materialism, Eve Kosofsky Sedgwick's theory of definitional crisis and the open secret, Zhuangzi's …

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Louisiana Law Review

No abstract provided.

Functional And Structural Lesion Network Mapping: Insights Into Acquired Brain Injury And Insomnia, Kathleen Erekson Rugh

Theses and Dissertations

Insomnia disorder is the most reported sleep disorder and can negatively affect daily functioning. Acquired brain injuries can lead to insomnia disorder. Limited research has explored a causal link between brain networks and insomnia symptoms in this population. This study replicated a lesion network mapping methodology of an insomnia study (Helquist et al., 2024) and extended it to examine structural networks linked to insomnia symptoms in individuals with acquired brain injuries. Traced lesions (N =44) were used as seed regions to compare against normative functional and structural network data. For functional analyses, we used resting state fMRI scans from a …

Baseline Moderators Of A Transdiagnostic Adolescent Sleep And Circadian Health Intervention's Effectiveness At Improving Circadian Sleep Health: A Pilot Investigation, Jamon M. Jex

Theses and Dissertations

The current study examined whether baseline demographic and clinical characteristics moderate the effectiveness of the Transdiagnostic Sleep and Circadian (TSC) intervention in improving adolescent circadian sleep health. Using an integrative data analysis approach, data from three independent adolescent samples (N = 134; ages 10-18) were pooled to evaluate changes across multidimensional sleep outcomes defined by the RU-SATED model of sleep, including regularity, satisfaction, alertness, timing, efficiency, and duration. Linear mixed-effects models were used to assess pre-to-post intervention changes and test moderation by age, sex, family income, and clinical status. Results indicated significant improvements in sleep satisfaction following TSC, with greater …

Difference Between Postural Sway, Functional Fitness, And Behavioral Measures In Older Adult Fallers & Non-Fallers, Olivia Maus, Rebecca Brandhorst, Andrea Geisenhof, Kyle Reason

InnovateHER Meeting 2026

BACKGROUND: Falls are among the leading causes of injury, hospitalization, and loss of independence among older adults. There is not enough research to determine how body composition, fitness, and postural sway affect balance.

METHODS: Participants completed surveys measuring behaviors around fall risk, assessment of body composition, postural sway, and functional fitness.

RESULTS: There was a significant difference between OF and ONF on the FES-I (p=0.05; d=-0.41) and the ABC-6 (p=0.008; d=0.57). There was significance on condition three of the mCTSIB (p=0.007; d=-.58), and composite score (p=0.04; d=-0.43).Significance between groups was approached on condition one of the mCTSIB (p=0.06; d=-0.39).

CONCLUSIONS: …

Approval Motivations In Sharing Humorous Tiktok's, Mariam Al-Areedy

InnovateHER Meeting 2026

TikTok is a short-form video platform where users create and share content that is often centered around humor, trends, and everyday social experiences. In face-to-face interactions, people typically rely on immediate feedback to navigate conversations, often using approval seeking behaviors to gain positive reactions and rejection-avoidant behaviors to reduce the risk of negative judgement. While these motivations are well-established in in-person settings, less is known about how they function in digital environments like TikTok, where teens privately share humorous content without immediate social cues to guide their interactions. My general hypothesis was that both rejection avoidance and approval-seeking behaviors will …

Caffeine Perceptions And Reality In High School Gymnasts, Gabrielle Steinkopf

InnovateHER Meeting 2026

From years of observation as a high school gymnast, there is a noted “caffeine culture” among gymnasts at my high school. Since gymnastics is a precision sport with not inconsiderable danger, I wondered what impact caffeine ingestion had on athletes. Athletes were asked to give up caffeine during a series of regular season meets, with reflection questions immediately after each meet to assess the impact caffeine might have had on performance vs the gymnasts’ perception of the effects

Advocateai: A Human-In-The-Loop Artificial Intelligence Platform To Improve Diagnostic Trajectories And Patient Empowerment In Chronic Pelvic Pain, Gayatri Bhanot, Ashley Kochans

InnovateHER Meeting 2026

Chronic pelvic pain (CPP) affects up to 27% of women globally^1, yet diagnosis takes 4 – 12 years on average² — a crisis driven by healthcare fragmentation, systemic gender bias, and a 62% rate of symptom dismissal by healthcare providers³. AdvocateAI is a human-in-the-loop AI platform designed to empower patients to accelerate their own diagnostic journey. By synthesizing fragmented medical records and patient-reported symptoms, the tool creates structured clinical summaries and personalized advocacy scripts. Here, we present our findings from discovery, including a landscape analysis of available CPP treatments, a prototype co-designed by patients, and custom …

Hip Stretching Protocol's Impact On Female Ice Hockey Players, Cienna Clark

InnovateHER Meeting 2026

Women’s ice hockey participation continues to grow as do injury rates among these players. However, female ice hockey players often show different injuries than male players. This is largely due to the lack of checking in women’s hockey, which means the injuries that tend to be seen are more about overuse injuries and less catastrophic injuries. Female injuries also tend to be more in their hips, which begs the question: what would happen if hips were stretched on a regular basis? Would these injuries subside, or at least improve?