Digital Commons Network^™

Providing Care For The Geriatric Population, Asma Nayyar Md

Marshall Journal of Medicine

No abstract provided.

Webmd: Diagnosing Ascot Hills Park’S Biodiversity Using Environmental Dna (Edna) From Spiderwebs, Sabriya Ann Seid

Undergraduate Library Research Awards

No abstract provided.

"Man-Dig Those Crazy Los Angeles Freeways": The Changing Image Of Southern California Freeways In The Werner Von Boltenstern Postcard Collection, Laura Haushalter

Undergraduate Library Research Awards

No abstract provided.

Applying The Updated Renfrew Error Classification And Osteopathic Principles To Radiology Interpretation: A Case-Based Approach, Michaelyn Cornish, Joel Koshy, Ryan Arias

Research Day

Background: Diagnostic errors in radiology can lead to delayed or incorrect diagnoses. The updated Renfrew error classification system (updated by Kim and Mansfield in 2014) is a commonly cited framework for classifying diagnostic errors in radiology. Osteopathic medicine principles, on the other hand, provide a more general framework that focuses on a whole-person, patient-centered approach to diagnosis and interpretation in medicine. This study examines three documented cases of diagnostic errors in radiology through the lens of both frameworks to propose strategies for error reduction.

Methods: Three radiology cases with documented errors were analyzed and classified according to the …

Utilizing Maxillofacial Injury Severity Score (Mfiss) In Postmortem Head Gunshot Imaging For Surgical Planning And Preventative Treatment Assessment, Kamryn B. Johnston, Richard A. Gonzalez

Research Day

Gunshot injuries to the head represent a major clinical and forensic challenge due to their complexity and multifaceted nature of the trauma. Various pre-operative methods exist to assess extent of craniofacial damage and patient outcomes. One such method is the Maxillofacial Injury Severity Score (MFISS). The MFISS is a trauma scoring system used by craniofacial reconstructive surgeons to categorize the degree of facial trauma based on hard and soft tissue damage. The system is broken down into three hard tissue and one soft tissue classification. All classifications are scored on a 0 to 3 scale ranging from no damage to …

Bilateral Carotid Artery Dissection After A Fall: A Case Of Horner's Syndrome Revealed On Examination, Eli Spevack, Zachary M. Weisner, Lauren Exley

Research Day

Traumatic carotid artery dissections (TCAD) are rare and occasionally present with third-order Horner's syndrome, defined as ipsilateral ptosis, miosis, and anhidrosis. We present a case involving a 53-year-old female with no significant past medical history who presented to the emergency department after tripping and falling down a flight of stairs. Over three weeks, the patient had persistent tinnitus, right neck pain and, on the exam, was noted to have right-sided miosis and ptosis. These exam findings led us to obtain a CT angiogram of the head and neck, which revealed a bilateral internal carotid dissection. The patient was taken for …

A Chronic Case Of Staphylococcus Epidermidis Osteomyelitis And Abscess In The Absence Of Foot Hardware Or Prosthesis, Joshua Salazar, Lidia Dankiv, Lauren Griffith, Gianna Grogan

Research Day

The project has showcased a unique case of chronic osteomyelitis, abscess, and cellulitis formation by S.epidermidis in the absence of foot hardware or prosthesis. The patient is a 62 yo M who presented with a chronic right foot ulcer with ongoing pain on ambulation, discharge of the RLE. PMHx includes: HTN, HLD, HIV+ (undetectable viral load; CD4: 988 cells/ml), pancreatitis, peripheral arterial disease, obesity, neuropathy, chronic EtOH and marijuana use, anxiety, a family history of DVTs and CVAs. He states that the ulcer initially opened in March 2023 due to wearing shoes without socks. Since then, it has failed to …

Exploring Attentional Mechanisms Of Speech-Gesture Integration Across Development, Lisa Gallo, Elizabeth Wakefield

Undergraduate Research and Engagement Symposium

Gestures are hand movements that accompany speech and convey information. They can support communication and learning, but not everyone benefits equally. One factor may be the ability to integrate gesture with speech. This study examines the role of visual attention in speech-gesture integration across development using behavioral measures and eye tracking. Thirty adults and thirty 6- to 10-year-olds will watch videos of a narrator gesturing while speaking and answering questions. Analyses will explore attentional mechanisms underlying integration. Findings could inform educational strategies, optimizing learning through gestures, especially as children's reliance on visual attention differs from adults.

Lgbtq+ Consumer Perceptions Of Authenticity And Rainbow-Washing In Advertising Content, Ethan Winograd

Undergraduate Research and Engagement Symposium

This study focuses on patterns in LGBTQ+ representation in advertising content in order to best understand how to represent LGBTQ+ individuals and avoid rainbow-washing. Content analysis of television and digital advertisements featuring LGBTQ+ representation was conducted to understand demographic trends in LGBTQ+ representation. Attention was placed on external and contextual cues illustrating what tools were being used to communicate LGBTQ+ representation and trigger identity salience within consumers. Data suggested variance in identity and race, with most samples incorporating contextual cues, suggesting brands should incorporate more variety in representation for age, as well as mix of contextual and explicit cues.

Adipocyte/Progenitor Communication Axis Controls Beige Adipogenesis., Briana Noel Cortez, Nabil Rabhi, Kathleen Desevin, Jean Z. Lin, Stephen R. Farmer

Research Colloquium

The unique capacity of inguinal white adipose tissue (iWAT) to brown has emerged as a promising therapeutic approach for treating obesity and its adverse complications. Both white and beige adipose arise from a subpopulation of perivascular adipocyte progenitor cells (APC) expressing SM22 (Smooth Muscle Protein 22-Alpha). However, the early signaling events controlling ACP differentiation to beige adipocytes are still unknown.

To uncover the stromal cells heterogeneity during beige adipogenesis, we performed a single cell RNA-sequencing of iWAT under control condition, treatment with β3-adrenergic receptor (ADRB3) agonist or exposure to cold. ScRNA-seq revealed the landscape of APCs undergoing beige adipogenesis. We …

Enhancing Patient Safety: Exploring Virtual Sitters' Role In Fall Prevention Through Remote Virtual Monitoring, Adama Diallo, Awatef Ergai Dr., Leeanna Spiva Dr., Meriel Mccollum Dr.

Symposium of Student Scholars

Remote Virtual Monitoring (RVM) technology enhances safety for both patients and care teams by reducing falls, improving the efficiency and effectiveness of continuous patient observation, and lowering costs associated with falls and staff support. The success of fall reduction efforts largely depends on the role of virtual sitters, individuals who remotely monitor high-risk patients to prevent falls. This study aims to explore the experiences of virtual sitters, identifying key themes, challenges, and opportunities to improve the intervention. Specifically, the research investigates how technology, work shifts, and institutional support impact the effectiveness and job satisfaction of virtual sitters.

Futurefit Guidance System, Pragya Mishra, Bindusri Manne, Md Abdullah Al Hafiz Khan

Symposium of Student Scholars

The fields of education and career counselling have been completely transformed by the quick development of artificial intelligence (AI) technologies. The objective of this project is to develop an AI-powered career advising system that leverages cutting-edge technology to provide personalized job recommendations aligned with the user's skills, interests, and career goals. The system provides a user-friendly and interactive platform for career exploration by using Natural Language Processing (NLP) models with web application developed with Flask (backend) and React (frontend).

The main goal of this project is to overcome the shortcomings of conventional career guidance approaches, which frequently do not offer …

Sandrapp: A Digital Intervention To Enhance Social Connectivity And Emotional Support Among Older Adults, Pavan Chowdary Chilukuri, Purna Chandu Anukula

Symposium of Student Scholars

Social isolation and loneliness are significant challenges affecting the well-being of older adults, often leading to adverse mental and physical health outcomes. Prolonged isolation has been linked to increased risks of depression, anxiety, cognitive decline, and chronic illnesses such as hypertension and cardiovascular diseases. As digital technology continues to evolve, innovative solutions have emerged to address these issues and foster meaningful social interactions for older adults.

SANDRApp is a user-friendly digital platform designed to reduce loneliness and enhance social connectivity among older adults. The platform caters to three primary user groups: (1) families with elderly loved ones living far away, …

Research Week 2025 Award Ceremony Program, Scholarly Communications

Liberty University Research Week

Research Week 2025 Awards Ceremony program.

Deep Learning Algorithms For Traffic Flow Predictions, Adegoke Ojeniyi, Prince Pal Singh, Ankita Vashisht, Swati Kumari, Karan Karan

AUIQ Technical Engineering Science

Given the growing complexity of urban transportation systems, precise traffic flow forecasting is essential for reducing not only issues of congestion but also, for boosting road safety and enhancing mobility management. This study integrates Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM), Long Short-Term Memory (LSTM), and Recurrent Neural Networks (RNN) to present a hybrid deep learning framework for traffic prediction. Of these, the CNN-LSTM model is a reliable option for real-time traffic forecasting since it successfully captures both spatial and temporal dependencies, resulting in superior predictive performance. The dataset used to assess the framework includes 48,120 records from a traffic monitoring …

Investigating The Impact Of Waterhead, Time And Temperature On Dam Displacement: Application Of Computer Aided Models, Maaz Abdullah

AUIQ Technical Engineering Science

Dam displacement is a crucial indicator for assessing the safety of a concrete dam through structural health monitoring. Since the displacement data exhibits a non-linear and complex relationship with influencing factors like waterhead, time and temperature, machine learning models are deployed to accurately predict dam displacement. Furthermore, the limited availability of monitored data in the majority of the dams renders the studies conducted with a large number of observations valueless. In order to address the aforementioned issues, this study proposes a feature selection approach to predict dam displacement by examining the ability of four ensemble machine learning models on different …

Investigating The Differential Effects Of Smote Variants On Class Imbalance And Exploring Their Applicability To A Thalassemia Prediction Model, Hussam Mezher Merdas, Ayad Hameed Mousa

AUIQ Technical Engineering Science

Researchers work around the clock on many datasets provided by various institutions. These researchers strive to come up with highly efficient Artificial Intelligence models. Often, researchers face the problem of imbalance in the distribution of classes in a particular feature in the selected dataset, which creates an Artificial Intelligence model biased towards one class at the expense of another class that is no less important than the first. On the other hand, thalassemia is a disease that affects people of different ages. The degree of disease varies according to the thalassemia class. This study proposes an improved Machine Learning model …

Wide Band Single-Mode Optical Fiber Design For Decreasing Bending Loss, Zahraa M. Kassem Alasady, Ahmed Al-Amiery

AUIQ Technical Engineering Science

Radiation loss due to fiber curving or bending is a major challenge in advanced technical applications like fiber-optic sensing or biomedical applications. This study focuses on the basic features that characterize a single-mode fiber (SMF) and its critical parameters in view of the recent improvements made. The planned design of SMF is, however, intended to resolve these problems by proposing minimizing bend loss by adopting a five-layer fiber structure designed to keep the optical field within the fiber core. The proposed SMF design exhibit ultra-low bending sensitivity, with estimated bending loss of 2×10-3 dB/turn for bending radius of 5 mm. …

Stories About Reading In Schools And What They Can Tell Educators About Teaching Reading, Arin Hilson, Roberta Gardner

Symposium of Student Scholars

Stories about reading in schools and what they can tell educators about reading is based on the practices of personal reading lives of teachers. This project is based on their instructional practices, focusing on how their reading habits influence the reading journey and experience for their students. By looking into the past and present lives of educators through portraiture methodology (Lawrence-Lightfoot, 1997), the study explores how personal reading habits such as prevalence of reading for enjoyment and the obstacles that come along with it can inform educational approaches in the classroom. By interviewing teachers this research aims to gather data …

Using Rf Hardware Technologies To Counteract Interference Within Dsrc Caused By Adjacent Unlicensed Bands, Grayson Hatcher, Billy Kihei, Nathan Kirkwood, Marco Tello

Symposium of Student Scholars

In recent years, competition within Radio Frequency (RF) communication bands has led to an overlap between the U-NII-4 band used by low-cost consumer devices, and the Dedicated Short Communication Band (DSRC) used by the Georgia Department of Transportation. Past research con- firmed that this interference leads to drastic reduction in Packet Reception Rate (PRR) for Roadside Units (RSUs) and On- Board Units (OBUs) throughout the country, resulting in a reduction of stability between different components of the Intelligent Transportation System (ITS). Our research team set a goal to prove that a low-cost and simple modification can be made to RSUs …

Bridging The Gap: Care Team’S Perspectives On Technology And Ai Integration In Healthcare, Sarah Fernandes, Pranathi Boyina, Awatef Ergai Dr., Wellstar Health System, Mohammad Yousef Mousa Naser, Sylvia Bhattacharya Dr.

Symposium of Student Scholars

As healthcare systems increasingly integrate digital solutions, understanding the perspectives of frontline healthcare workers on technology adoption is critical. This study explores how Registered Nurses (RNs), Licensed Practical Nurses (LPNs), and Certified Nursing Assistants (CNAs), collectively referred to as the Care Team, interact with existing and emerging healthcare technologies, including artificial intelligence (AI). Given the growing reliance on digital tools for clinical and administrative tasks, this research examines the challenges and benefits perceived by healthcare professionals when incorporating AI-driven solutions into their workflows.

A cross-sectional research design was employed, involving 30 semi-structured interviews with Care Team members from an Intensive …

Generative Ai In South African Healthcare: Navigating Challenges And Harnessing Opportunities For Industry And Research, Linda Paul, Ravinder Rena

Management Dynamics

This research seeks to evaluate how Generative Artificial Intelligence (GAI) can be used to disrupt and revolutionise the South African healthcare sector in addressing anomalies and utilising opportunities. This study employed a qualitative approach using secondary data analysis, drawing on policies formulated from the years 2015-2024, the study combines findings from published literature, institutional reports, and reputable databases to explore the potential opportunities, applications, and challenges of integrating generative artificial intelligence (AI) in South Africa's healthcare system. Thematic analysis and trend mapping were used to investigate GAI in diagnostics, drug discovery, personal medicine, data clerking, and medical training. The results …

How To Write A Successful Research Manuscript: Back To Basics, Nayda Parisio Poldiak, Nancy Crossley

HCA Healthcare Journal of Medicine

Writing a research manuscript is a meticulous process necessary for effective communication of scientific findings. In this article, we cover the key concepts and steps involved in crafting a well-structured manuscript. Research manuscripts use a formal structure with discrete sections that facilitate data review and interpretation. The opening section is a structured abstract, which summarizes the entire manuscript in about 300 words and highlights the research problem, using the headings Background, Methods, Results, and Conclusion. The introduction provides context, states the research question and justifies its significance. The methods section details the study design, data collection, and analysis procedures. The …

Improving Patient Adherence To Medications With Pharmacist-Led Education Program In Primary Care, Kobi Griffith, Julie Waldroup, Corinn Normandin, Wendy Craig, Dylan Atchley

Journal of Maine Medical Center

No abstract provided.

Navigating Extended Reality Maps Using Large Language Models, Tony (Tuấn) Nguyễn, Chunpo Wang, Hiro Tsujino, Stiven Morvan

Defensive Publications Series

Map applications in extended reality (XR map-apps) immersively display map data and features within extended reality (XR) environments. Currently, users navigate within an XR map-app using hand tracking and/or gaze tracking, which can be inconvenient. This disclosure describes techniques that leverage large language models (LLMs) to enable users to query an XR map-app using voice commands. With user permission, the user’s XR environment, including the user’s real environment (under XR passthrough) and the user’s virtual environment (e.g., immersive screen, audio, etc.) is shared with the LLM. A question from the user can be answered by the LLM in the context …

Enhancing The Accuracy And Performance Of Eye Tracking In Head-Mounted Displays, Jason Spencer

Defensive Publications Series

Eye tracking on head-mounted displays (HMDs) is computationally intensive and requires multiple illuminators. The wide gaze angles at which eye-tracking cameras are positioned on HMDs make it difficult to obtain optimally good views of the eye. Further, it is difficult to determine the optical axis of the eye with high accuracy since the human physique does not always conform perfectly with the geometric shapes used to model it. This disclosure describes techniques that can establish the optical axis of the eye by leveraging the refracted view of the pupil under general illumination to infer the shape and position of the …

Method And System For Managing Micropayments Leveraging Blockchain Technology, Daos, And Stablecoins, Nandit Khosa

Defensive Publications Series

The present disclosure provides a method and system for processing micropayments to address the inefficiencies and high costs associated with traditional payment systems. The method involves creating Decentralized Autonomous Organizations (DAOs) for each individual or user that joins the network. Blockchain technology underpins the creation and operation of DAOs.Each DAO issues stablecoin tokens, which represent a stable value of assets or services, for the user to perform payment transactions. Whenever a user wishes to make a micropayment, the user sends the required number of stablecoin tokens to a smart contract. The smart contract automatically executes the transaction by transferring the …

Regenerative Voice Coil

Defensive Publications Series

In implementations of the disclosure, the elastic energy is recovered from a spring of a VCM. There may be a low mechanical damping and friction of the VCM design that reduces the energy waste while using the VCM regenerative mode as a magnetic damper. The recovered energy can be stored temporarily and used to drive the actuator again when needed (short term energy recovery and storage). An energy recovery circuit, such as a rectifier circuit, can be retrofitted to the existing VCM driver or integrated in a new VCM driver. The recovered energy can be sent back to the battery …

Education For Young People In A World Full Of Uncertainty, Elizabeth Kristi Poerwandari

Psychological Research on Urban Society

Education for Young People in a World Full of Uncertainty

“Silence Is Golden:” Explaining The Silent Majority Based On Fatalism, Culture, And National Attachments, Ali Mashuri, Sukma Nurmala, Esti Zaduqisti

Psychological Research on Urban Society

Why do citizens tend to be silent about a country’s social, political, or economic problems? The silent majority refers to most members of society not support or engage in collective action to protest injustice. This study aimed to explain the silent majority’s psychosocial dynamics and fill the research gaps in the psychology literature that focuses on collective action and its determining factors. The study’s participants (N = 349), recruited using convenience sampling, were undergraduate and graduate students from several universities in Indonesia. In our study, the psychosocial characteristics of the silent majority included fatalism, cultural dimensions (i.e., power distance, …