Digital Commons Network^™

Deferred Rendering Of Dom Text For Accessible Graphical Annotation, Zouhir Chahoud

Defensive Publications Series

Creating interactive web-based text annotations may present a compromise between rendering performance, visual fidelity, and accessibility, particularly with complex graphical selections or dynamic content. The described systems and methods can address this by deferring the visual rendering of text within a graphical element. A browser, for example, on a computing device (e.g., a smartphone, laptop, or tablet), can first parse hypertext markup language content to perform layout calculations and update an accessibility tree without painting the text. A synchronous rendering loop may then allow an application to draw custom graphics, such as highlights or selection polygons, onto a canvas. Subsequently, …

Topological Matrix Alignment: Mapping Dehp Asymmetric Fluidic Constraints To Table-Top Three-Dimensional Photoemission Orbital Tomography Fields, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a rigorous mathematical and structural bridge between the experimental implementation of table-top Three-Dimensional Photoemission Orbital Tomography (3D-POT) and the theoretical architecture of the Dimensionally Extended Holographic Projection (DEHP) model.

Current 3D-POT architectures rely on iterative phase-retrieval algorithms to reconstruct the missing quantum phase information from 2D momentum-space projections. This paper demonstrates that by treating the 2D momentum distribution as a boundary information substrate, the spatial-harmonic phase can be deterministically calculated via a non-linear geometric inversion governed by an Asymmetric Twist Tensor.

We provide explicit coordinate transformations, field mapping equations, and an execution protocol using Module 6 Spherical …

Resistive Welded Hv Lugs

Defensive Publications Series

Bolting high-voltage (HV) lugs to a printed circuit board (PCB) is a mechanical and electrical connection method used to manage high-voltage wire-to-board transitions commonly used in EV inverters. Although bolting off-the-shelf HV lugs is a reliable way to handle high power in PCB assembly (PCBA), it can pose challenges in forming a reliable connection with specific HV connectors making it not suitable for serial production and compact packaging. This proposed solution discloses a new design of HV lugs that can be resistively welded to PCBA.

Flexible Three Phase Busbars For Inverter And Bolted Connection With Stator

Defensive Publications Series

Stator lead terminations of motors are crucial for electrical reliability and mechanical integrity of the refrigerant compressor system. Rigid busbar connection between the inverter and stator often leads to excessive stress on busbar due to motor vibrations. This proposed solution discloses a braided flexible busbar for inverter and stator connection that is bolted on the stator side.

A Process For The Preparation Of Glp-1 Peptide, Anonymous

Defensive Publications Series

The present disclosure is related to an improved process for the preparation of GLP-1 Peptide

Polymorphic Form Of The Hydrochloride Salt Of Compound Of Formula (I) And Its Use In The Preparation Of Nirogacestat Dihydrobromide, Anonymous

Defensive Publications Series

The present disclosure relates to a novel polymorphic form of the hydrochloride salt of compound of formula (I). More particularly, the disclosure relates to a crystalline  polymorphic form of the hydrochloride salt of compound of formula (I), process for its preparation, and its use in the preparation of Nirogacestat dihydrobromide having high purity and reduced levels of stereoisomeric impurities.

Empirical Wavefunction Validation Of Autonomous Agi Coherence: Integrating Real-Time Table-Top 3d-Pot Spectral Streams With The Torsional Viscosity Field Governor Under The Usue Framework, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes the definitive hardware-observational paradigm required to physically validate and enforce the structural survival of autonomous, multi-agent Artificial General Intelligence (AGI) networks. Traditional alignment frameworks view machine-to-machine (M2M) token-variance decay as a purely linguistic or logical abstraction, leaving processing layers prone to non-linear autoregressive collapse or runaway semantic hallucinations.

By utilizing table-top Three-Dimensional Photoemission Orbital Tomography (3D-POT) integrated with ultrafast time-of-flight momentum microscopy, this architecture records the active, physical electron wavefunction deformations of neuromorphic processing substrates in situ during high-density multi-turn recursive loops. Governed by a contracted Asymmetric Twist Tensor (\(\mathbf{T}_{ijk}\)), localized phase discrepancies are tracked instantly and …

Localized Cymatic Disruption (Lcd) Matrix: Non-Thermal Mechanochemical Polymer Chain Scission Via High-Shear Acoustofluidic Cavitation, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a validated mechanochemical engineering specification for the non-thermal decomposition of high-density industrial polymers utilizing a micro-distributed Localized Cymatic Disruption (LCD) Matrix. Conventional polymer recycling methodologies rely on pyrolytic gasification or intensive chemical solvation, processes bounded by high entropic overhead, toxic emissions, and severe material downgrading.

By applying the fluidic substrate mechanics of the Dimensionally Extended Holographic Projection (DEHP) model, this architecture introduces a continuous-flow cylindrical decomposition chamber lined with concentric Lead Zirconate Titanate (PZT-8) piezoelectric transducer arrays. Operating within an industrial acoustic band (20 kHz to 1 MHz), the array drives localized acoustic cavitation inside a micro-shredded …

Centering As Contemplative Inquiry And Practice: Teaching, Learning, And Living In The Anthropocene, Jennifer L. Schneider

Journal of Contemplative and Holistic Education

The Anthropocene may be an inescapable trap—one unwittingly shaped by human ways of relating to self, others, and the more-than-human world. While dominant discourses surrounding this epoch often evoke fear, apocalypse, or blame, how might it also invite us, as humans, into an opportunity for more holistic and contemplative education. This paper explores “centering,” a contemplative concept and practice introduced by curriculum theorist James Macdonald (1995), as a regenerative way of engaging with the Anthropocene through lived experience. Drawing from research on a graduate-level place-based course and an arts-based, pragmatic inquiry, I explore how centering can foster attunement to place, …

Anatomy Of Success: Unveiling Key Resources For A Stand-Alone Occupational Therapy Anatomy Course, Annika Knuth, Sophia Wilkes, Julia Huber, Graci Leineberg, Rebecca Ozelie

Student Journal of Occupational Therapy

Anatomy is a complex curriculum involved in occupational therapy education. This study aimed to investigate occupational therapy (OT) students’ perceived usefulness of resources offered in a stand-alone anatomy course within their program. A survey was administered to 284 OT students enrolled in accredited programs who had completed a stand-alone anatomy course. The survey assessed the resources available, their usage, and the perceived benefit to students' learning. Results indicated that open labs and teaching assistants were perceived as the most valuable resources for student success, while print/electronic textbooks and office hours were perceived as the least beneficial. These findings suggest that …

Advances In Perovskite Solar Cells: Efficiency, Stability, And Commercialization Prospects, Wissam H Alawee, Laith Jaafer Habeeb, Monaem Elmnifi

Terra Joule Journal

One of the most radical technologies in the field of photovoltaics is the so-called perovskite solar cells or PSCs which have already reached certified power conversion efficiencies of more than 26 per cent within slightly more than ten years of focused research. The reviewed study gives an in-depth analysis of the science, material development, stability issues, and commercialization plans that characterize the present state of the perovskite photovoltaics state of the art. We start with the basic crystal structure and optoelectronic behavior of metal halide perovskites to single out the high efficiency path that is undergone by the previous dye-sensitized …

A Comprehensive Review Of Hybrid Renewable Energy Systems: Integration Challenges And Optimization Strategies, Laith Jaafer Habeeb, Monaem Elmnifi, Wissam H. Alawee

Terra Joule Journal

Hybrid renewable energy systems (HRES) combine complementary renewable generators, storage and coordinated controls to reduce the variability and integration burden associated with single-source plants. This review synthesizes peer-reviewed studies, authoritative energy statistics and documented projects, with emphasis on solar–wind, hydro-coupled and multi-source configurations; storage selection; grid integration; and design and operational optimization. The evidence shows that the value of hybridization depends on resource complementarity, grid conditions, control architecture and life-cycle sizing rather than on technology combination alone. The review therefore distinguishes established findings from illustrative comparisons and avoids presenting literature-derived values as new experimental results. Six recurring implementation challenges are …

Artificial Intelligence-Based Mobile Robots: Development Trends And Challenges, Ahmed N. Abdalla, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict, Kharudin Ali, Liu Yao

Terra Joule Journal

The integration of artificial intelligence (AI) with mobile robotics is transforming automation technologies, enabling advancements across industries such as manufacturing, healthcare, and hazardous material handling. As AI-driven mobile robots become increasingly prevalent, their ability to enhance operational efficiency and safety underscores the need for a comprehensive understanding of their underlying methodologies. This study critically examines the integration of nature-inspired optimization algorithms and deep learning techniques in autonomous mobile robotics, addressing key research gaps related to adaptability, real-time decision-making, and energy-efficient operations. A significant contribution of this work is the exploration of the synergistic application of bio-inspired heuristics and AI-driven perception …

Robotic Vision System: Recent Development Trends And Challenges, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict

Terra Joule Journal

Robotic vision systems have become integral to modern industrial automation, enabling high-precision manufacturing, real-time quality inspection, and autonomous decision-making. This study explores the latest advancements, key challenges, and future prospects of robotic vision in industrial applications. It examines issues related to real-time target recognition, algorithm optimization, system stability, and integration with intelligent control systems. Additionally, emerging technologies such as deep learning-based vision enhancement, multi-sensor fusion, and Vision-Based Tactile Sensors (VBTS) are analyzed for their potential to improve adaptability and efficiency. The findings highlight both the limitations and the promising trajectory of robotic vision systems, emphasizing the need for continued research …

Artificial Neural Network-Based Diagnosis Of Wind Turbine Blade Faults Using Vibration Analysis At Constant Operational Speed, Zeashan Hameed Khan, Shabbir Ahmad, Ali Habeeb Askar

Terra Joule Journal

Wind turbine blade faults, such as surface erosion, cracks, mass imbalance, and twist deformation, significantly compromise operational efficiency and reliability, thereby increasing maintenance costs. This research presents an artificial neural network (ANN)-based diagnostic approach for identifying five distinct fault states in wind turbine blades using vibration signal data collected at a constant operational speed of 1.3 m/s. The dataset, which encapsulates real-world vibration responses under varying fault conditions, was analyzed to extract amplitude features for classification. A balanced dataset of 500 samples per class was used to ensure robust training and evaluation. The ANN model achieved highly reliable performance, with …

Using Finned Absorber, Vertical Wick Distiller, And Improved-Phase Change Materials With Emerging Fins And Nanoparticles To Optimize Trays Distiller, Wissam H. Alawee, Fadl A. Essa, S. Shanmugan, A. S. Abdullah, Z. M. Omara

Terra Joule Journal

The main goal of this work is to improve the efficacy of TSS (trays solar still). To obtain this, the study explores a novel approach to solar desalination by integrating the TSS with four innovative features: a vertical wick still (VWSS), TSS with a finned wick absorber (MFTSS), internal mirrors, and PCM-Ag-NPs (paraffin wax containing silver Nanos). Two shapes of absorber plate (finned and flat) have been studied with EF (emerging fins) in PCM unit. The introduction of Ag-Nano and the emerging fins within PCM have both increased its low heat conductivity. Experimental findings indicate that the MFTSS with PCM-Ag-NPs …

Transcriptomic Profiling Of The Donkey Endometrium Reveals Dynamic Molecular Transitions Across The Estrous Cycle, Limeng Shi, Shuaishuai Wu, Mingyue Zhao, Wenhao Zhou, Abd Ullah, Muhammmad F. Akhtar, Changfa Wang, Muhammad Z. Khan, Ying Han

The Thai Journal of Veterinary Medicine

The endometrium undergoes extensive cyclical remodeling essential for reproductive success; however, the molecular mechanisms governing these processes in donkeys (Equus asinus) remain poorly characterized. To address this gap, we performed high-throughput RNA sequencing on endometrial tissues collected from Dezhou donkeys (n = 16) at four post-ovulation stages: Day 0 (ovulation), Day 3 (early luteal), Day 7 (mid-luteal), and Day 18 (late luteal/pre-luteolysis). Differential gene expression analysis, Gene Ontology enrichment, and KEGG pathway mapping were conducted to characterize temporal transcriptomic dynamics. We identified 2,474, 6,548, and 1,288 differentially expressed genes in Day 0 versus Day 3, Day 0 versus …

Adaptive Phishing Url Detection Using Hybrid Fuzzy C-Means Clustering And Xgboost, Muntadher Mohammed Kareem, Rawaa I. Farhan

Karbala International Journal of Modern Science

Phishing attacks continue to evolve in sophistication, rendering static detection methods increasingly ineffective. Existing URL-based approaches suffer from limited adaptability to emerging phishing patterns, mislabeled training data, and insufficient validation protocols. This paper proposes a hybrid phishing URL detection system that integrates Fuzzy C-Means (FCM) clustering with XGBoost classification, enhanced by a novel Micro Adaptive Feature Extractor (MAFE). The system employs a multi-stage pipeline: feature engineering generating 36 statistical and interaction features, MAFE producing 15 adaptive features through class-aware dynamic weighting, micro-pattern detection, and entropy analysis, and FCM with K=2 clusters providing soft membership features to XGBoost. A two-pass confidence-based …

Learning, Abstraction, And Creative Search For Interactive Agents, Jonathan Demke

Theses and Dissertations

Artificial intelligence systems are increasingly deployed as autonomous agents that interact directly with complex environments. Ensuring these agents remain reliable, adaptable, and useful presents an ongoing practical challenge. This dissertation studies agent-environment interactions through a progressive lens, examining behavior from foundational training stability and abstraction discovery to adaptation in unpredictable settings and open-ended creative search. The investigation begins by analyzing how hyperparameter settings affect early-stage Deep Q-Network performance, yielding practical guidelines for debugging reinforcement learning implementations. To address the challenge of long-horizon planning, the discovery of temporally extended options is formalized as the Minimum Shortcut Problem, demonstrating how agents can …

Ai-Enhanced Fluorescein Angiography Detection Of Diabetes-Induced Silent Retinal Capillary Dropout And Rna-Seq Identification Of Pre-Symptomatic Biomarkers, Yiyan Peng, Huishi Toh, Dennis Clegg, Peng Jiiang

Biological, Geological, and Environmental Faculty Publications

Objective: Retinal capillary dropout, characterized by acellular capillaries or "ghost vessels," is an early pathological sign of diabetic retinopathy (DR) that remains undetectable through standard clinical imaging techniques until visible morphological changes, such as microaneurysms or hemorrhages, occur. This study aims to develop a non-destructive artificial intelligence (AI)-based method using fluorescein angiography (FA) images to detect early-stage, silent retinal capillary dropout.

Methods: We utilized 94 FA images and corresponding destructive retinal capillary density measurements obtained through retinal trypsin digestion from 51 Nile rats. Early capillary dropout was defined as having an acellular capillary density of >= 18 counts per mm2. …

Elimination Of Object Jittering Via Impostor Rendering With Gpu Emulated Doubles, James Govan Moir Iv

Theses

Object jittering is an issue that arises when rendering objects at large distances from the scene's origin. This challenge arises in software that focuses on rendering realistically scaled planetary systems and games which simulate large open world environments. While there are several techniques in common use that aim to manage jittering, they come with performance tradeoffs. We propose a new technique that combines GPU based emulated double arithmetic with impostor rendering. Our technique aims to eliminate object jittering while maintaining reasonable performance.

Investigation Of Applying Machine Learning For Thermal Transport Phenomena, Ayush Jha

Theses

Electronic cooling is essential for maintaining optimal performance during complex computation tasks. Computational simulations have become a key tool to assess performance under various operating conditions. However, computational modeling involves a lengthy process to reach the final solution. The present work introduces a point-based neural network model to generate instant predictions of temperature for various heat sink configurations. A design of experiments methodology was utilized to define different heatsink designs, which were simulated using OpenFOAM. The training data included fin length, fin width, thermal conductivity, and Cartesian coordinates of point clouds. PyTorch was enabled with a fully connected neural network …

Implementation Of A Cognitive Aide To Guide The Use Of Non-Invasive Hemodynamic Monitoring For Goal-Directed Fluid Therapy During Cesarean Deliveries, Ashley George, Ashley Walbert

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Postpartum hemorrhage (PPH) remains a leading cause of maternal morbidity and mortality, with delayed recognition contributing to adverse outcomes during cesarean delivery. In cesarean deliveries, traditional intermittent non-invasive blood pressure monitoring may not detect early hemodynamic instability, creating a need for more structured interpretation of continuous hemodynamic data. This Doctor of Nurse Anesthesia Practice quality improvement project implemented a cognitive aid to support anesthesia providers using the Edwards EV1000/ClearSight platform during goal-directed fluid therapy. A pre–post implementation design using provider surveys evaluated feasibility, usability, confidence, and perceived impact. By organizing continuous values such as stroke volume, cardiac output, and systemic …

Cultivating Young Naturalists: Developing A Junior Master Naturalist 4-H Special Interest Club In Cook County, Il, Matthew M. Stinson

Capstone Projects – Politics and Government

This capstone researches the development, implementation, and evaluation of a Junior Master Naturalist (JMN) 4-H Special Interest (SPIN) Club, a pilot environmental education program for high-school students in South Suburban Cook County, Illinois. Through a partnership among University of Illinois Extension – Serving Cook County, the Forest Preserves of Cook County, and the Friends of the Forest Preserves, JMN addressed two goals: increasing 4-H participation and engagement among high-school aged youth and encouraging high-school aged participation in local forest preserves spaces. Grounded in research on positive youth development, 4-H youth development, and environmental education, the program provided hands-on, place-based learning …

A Staff Nurse-Led Clinical Instructional Competency Program To Improve Clinical Judgement In Undergraduate Nursing Students: A Quality Improvement Initiative, Shana Skeffrey

Doctor of Nursing Practice (DNP) Manuscripts

There is increasing concern that new graduate nurses are leaving bedside roles early in favor of less stressful positions due to rising patient acuity and heightened organizational expectations, increasing the effects of the nursing shortage (McClosky et al., 2022; AACN, 2024). A standardized clinical experience, combined with fair and consistent access to skill application in the hospital setting can support a collaborative approach for undergraduate nursing students. This quality improvement project is aimed to implement a Staff Nurse-Led Clinical Instructional Competency Program that will provide a structured opportunity for clinical instructors to help fill the gap in preparing undergraduate nurses …

Feasibility And Acceptability Of A Home-Health Aide-Delivered Loneliness Reduction Program In A Small Home Care Agency: The Caring Connections Quality Improvement Project, Tontalayia L. Robinson

Doctor of Nursing Practice (DNP) Manuscripts

Loneliness is a significant public health concern that adversely affects mental, cognitive, and physical health, with consequences comparable to smoking 15 cigarettes per day. Home care recipients experience loneliness at rates of 15.9% to 24.2%, yet home-health aides (HHAs), who often have the most consistent contact with homebound clients, lack structured tools for recognizing and responding to loneliness. This gap highlights the need for practical, evidence-based strategies that can be integrated into routine home care practice. The purpose of this Doctor of Nursing Practice quality improvement project was to evaluate the feasibility, acceptability, and appropriateness of a home-health aide–delivered loneliness …

A Quality Improvement Initiative Utilizing Help To Reduce Delirium, Improve Patient Outcomes, And Provide Age Friendly Care For Patients 65 Years Of Age Or Older With Modifiable Delirium Risk Factors., Maggie Blake

Doctor of Nursing Practice (DNP) Manuscripts

Background: Delirium, an acute change in cognition, occurs in 21% of hospitalized patients and is linked to increased length of stay, readmissions, and increased mortality (Shen et al., 2024). In older adults, delirium prevalence increases and is linked to poor outcomes that inhibit patients' health care goals (Shen et al., 2024). Despite the well-published harms of delirium and standardized prevention measures, delirium prevention is not prioritized. Methods: HELP, originally the Hospital Elder Life Program, now preferred to be known as HELP, is a standardized delirium prevention model specifically designed to address the unique needs of hospitalized older adult patients. HELP …

Improving Chlamydia Testing For Females Through Universal Screening In Outpatient Pediatric Primary Care: An Adolescent Quality Improvement Initiative, Christina Howard

Doctor of Nursing Practice (DNP) Manuscripts

Chlamydia is the most common sexually transmitted infection in the United States in adolescents and young adults (Dutra & Lazenby, 2023). Per Smith, Reirden, and Nyquist (2022), adolescents and young adults between the ages of 15 and 24 account for more than 60% of new chlamydia infections each year. Testing for chlamydia is not standardized, and it is estimated that only 50% of those who qualify receive a yearly screening American Sexual Health Association. (2021). If outpatient testing and treatment is not improved these asymptomatic cases will be missed, infections in general will increase, and reinfections may occur leading to …

Enhancing New Graduate Nurse Confidence And Patient Safety Through Clinical Development Coach Integration, Megan T. Kramer

Doctor of Nursing Practice (DNP) Manuscripts

The transition from student to professional nurse is a critical developmental stage often marked by heightened stress, emotional exhaustion, and uncertainty in clinical judgment. These challenges frequently contribute to lower confidence levels, increased anxiety, and higher risks for patient safety events among new graduate nurses. This program evaluation project aims to assess the effectiveness of integrating a Clinical Development Coach (CDC) role to enhance new graduate nurse’s confidence, comfort, and overall competence while reducing patient safety incidents on a trauma/surgical inpatient unit in a medical center on the East coast. The CDC role is a structured mentorship and resource position, …

Implementation Of A Deteriorating Patient Simulation For New Graduate Nurses To Improve Clinical Judgment: A Quality Improvement Project, Kasey Mundell

Doctor of Nursing Practice (DNP) Manuscripts

New graduate nurses (NGNs) often have trouble recognizing and responding to patient deterioration because of limited clinical judgment and confidence during the transition to practice. This quality improvement project evaluated the implementation of a high-fidelity deteriorating patient simulation within a new graduate nurse orientation program at a Level I trauma center. Guided by the Plan-Do-Study-Act framework and the International Nursing Association for Clinical Simulation and Learning (INACSL) Standards of Best Practice, the simulation focused on the assessment and management of a patient experiencing pulmonary embolism. Eight NGNs participated in the simulation and completed the Attitudes Toward Recognizing Early and Noticeable …