Digital Commons Network^™

Spartan Daily, December 03, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 41

Unsaturated Fatty Acid Oil-Based Microdroplets: A Promising Novel Class Of Microdroplets, Ramiz S. Alejilat

Seton Hall University Dissertations and Theses (ETDs)

Droplet-based microfluidics has rapidly advanced numerous fields, including chemistry, biology, materials science, medicine, food science, and cosmetics. In these systems, fluorocarbon oil combined with fluorinated surfactants is the preferred medium for fluid encapsulation, offering exceptional stability and biocompatibility essential for sensitive biological and chemical processes. However, growing concerns about the environmental and biological risks associated with fluorinated chemicals have prompted a search for alternatives.

This study is the first to explore the use of unsaturated fatty acids derived from emu oil for microdroplet formation. We characterized droplet formation based on flow rates and the presence non-fluorinated surfactant at a certain …

Decoding The Chameleon Game, Tri Dang '25, Hieu Tran, Brian T. Howard, Sutthirut Charoenphon, Dat Nguyen '25

Student Research

The Chameleon game is a challenging word association activity where players are given a secret word and must respond with words relevant to that secret word. It requires strategic thinking and deduction. The Chameleon must cleverly guess the secret keyword in this game while avoiding suspicion. Our research aims to create an advanced artificial intelligence (AI) model that can play the Chameleon game from both perspectives: as the Chameleon and as a Human. This AI is designed to guess secret keywords based on the information provided by the players, choose the best strategies to avoid detection as the Chameleon, identify …

2025-12-03 Letter To The Editor: Student Letter To Su Administration Regarding Interim President, Seattle University

The Spectator Online

No abstract provided.

2025-12-03 Newly Defined Professional’ Degrees Threaten Future Graduate School Loans, Kean Mathis

The Spectator Online

No abstract provided.

Manuscript And Technical Studies, Mary F. Wheaton

University Libraries Faculty and Staff Publications

Extract

Winter’s Middle English Texts Series (MET) published a single volume this year, containing a number of editions of related medieval texts. Hans Sauer and Alessia Bauer’s To Instruct and Entertain – Medieval Didactic Dialogues is the first parallel-text edition of the Old English Prose Solomon and Saturn (SolSatP) edited from London, British Library, MS Cotton Vitellius A.xv and two copies of the Middle English Master of Oxford’s Catechism (MOC), edited from London, British Library, MSS Harley 1304 and Lansdowne 762. In addition to presenting these texts side-by-side, the editors have daringly attempted to construct a …

Viability Of Widely Used Encryption Schemes In Drone Transmission, Emanuel Yasir Nelson

Cybersecurity Undergraduate Research Showcase

This paper presents throughout research on the security issues related to drone transmission. These topics were addressed and explained, in particular the aspects relating to cybersecurity, for utmost clarity. These include threats and vulnerabilities, drone transmission the impact of encryption on latency, and the details of the encryption methods AES-128, AES-256, and ChaCha20 that were used in the experiment described in the paper. Each encryption method performance was measured and outputted by the Python code developed and used in the experiment. Afterwards, the performance of each method was analyzed in relation to their decryption time, encryption time, end to end …

Strategies For Improving Supported Employment Services For Adults With Intellectual And Developmental Disabilities, Janelle Latoya Bailey

Walden Dissertations and Doctoral Studies

There is a growing need for supported employment services and improved programming among people with intellectual/developmental disabilities (I/DD). The research question for this study was; what are human service staff and administrators’ experiences and perceptions of what is working well in supported employment programs, and how to improve the services offered to adults with I/DD in a northeastern county? The tenets of Kurt Lewin’s change model form the theoretical framework for the study, to serve as a foundation for effective change. A force field analysis approach was used to gather narrative written data from open ended questionnaire responses to grasp …

Attrition Experiences Among Officers In A Texas Correctional Organization, Dewanou Frejus Aisse

Walden Dissertations and Doctoral Studies

The Texas Department of Criminal Justice (TDCJ) faces employee retention challenges, and recruiting and retaining correctional officers remains TDCJ’s most significant challenge and highest priority. Correctional facility leaders need to understand these challenges as indicators of workforce sustainability. Grounded in job embeddedness theory, the purpose of this general qualitative study was to explore the turnover experiences of Texas correctional officers, to understand why officers left their jobs, and the factors that contributed to their decisions to stay in their jobs. Participants comprised 11 former correctional officers who had worked between 5 months and 6 years for the TDCJ. Data were …

Ella Cate Downing Art 399 Portfolio, Ellen C. Downing

Professional Practices (ART 399)

Artist Statement

Ella Cate Downing

Rooted in subjects such as Faith, growth, and Biblical truth, while incorporating child development and how a child interprets certain subjects, is found throughout my work. Drawing from narratives that come from the Bible, and how children learn and understand these topics. My work draws directly from scripture and utilizes symbolism to help children learn and deepen their Faith. Intertwining both how a child learns and my Faith is ultimately what my works are about.

Soft, vibrant colors and a more simplistic style are what viewers see within my work. Using a more illustrative minimalist …

Imaging Of Dynamic Processes In Materials With A Laser-Wakefield Accelerator, J. Kang, R. J. Shalloo, M. J. Higgins, S. J.D. Dann, J. N. Gruse, C. I.D. Underwood, A. F. Antoine, C. Arran, C. D. Baird, M. D. Balcazar, N. Bourgeois, J. A. Cardarelli, K. Krushelnick, S. P.D. Mangles, C. D. Murphy, N. Lu, P. P. Rajeev, M. P. Selwood, D. R. Symes, C. P. Ridgers, A. G.R. Thomas, C. Thornton, Z. Najmudin, P. G. Sanders, P. D. Staublin, A. J. Shahani, M. J.V. Streeter

Michigan Tech Publications

Betatron x rays generated from laser-wakefield accelerators are a promising source for imaging dynamic processes in materials. Here, we present proof-of-concept imaging of microstructural evolution in a hypermonotectic Al-Bi alloy, which consists of liquid Bi particles in a solid Al matrix. The images capture the elongation and fragmentation of Bi particles upon isothermal annealing. Because of the femtosecond time scale of the betatron source, the images are not subject to motion blur, whereas the accessibility of the source allows for studies of long-term processes such as annealing. The high-resolution data reveal that the evolution of Bi particles is mediated by …

Emerging Tools In Plant Genome Editing, Shilpi Sharma, Naveen Kumar Saroha, Abhilasha Sehrawat, Guiliang Tang, Deepali Singh, Sachin Teotia

Michigan Tech Publications

Plant genome editing has undergone a transformative shift with the advent of advanced molecular tools, offering unprecedented levels of precision, flexibility and efficiency in modifying genetic material. While classical site-directed nucleases such as ZFNs, TALENs and CRISPR-Cas9 have revolutionized genome engineering by enabling targeted mutagenesis and gene knockouts, the landscape is now rapidly evolving with the emergence of novel systems that go beyond the conventional double strand break (DSB)-mediated approaches. Advanced and recent tools include LEAPER, SATI, RESTORE, RESCUE, ARCUT, SPARDA, helicase-based approaches like HACE and Type IV-A CRISPR system, and transposon-based techniques like TATSI and piggyBac. These tools unlock …

The Rising Age Of The First-Time Homebuyer: A Comprehensive Analysis Of Barriers For Emerging Adults, Stephanie Miller

Honors Projects

The average age of a first-time homebuyer in the United States was 38 years old in 2024. This is a significant increase compared to previous generations, who often achieved homeownership in their late twenties. This project examines structural, economic, and sociological barriers that prevent emerging adults, particularly recent college graduates, from entering the housing market. Through an analysis of national data from the National Association of Realtors, the U.S. Government Accountability Office, and Freddie Mac, this paper examines how inflation, limited housing inventory, stagnant wages, restrictive zoning policies, and increasing debt amounts have had disproportionate effects on young buyers. Regardless …

Explainable Ai For Liver Transplant Survival Prediction: Integrating Immunological Mismatch Features, Sourab Shaik

Honors Projects

Liver Transplantations are crucial treatment for end-stage liver disease. However, a persistent deficit of donor organs necessitates maximizing the utility of each available graft to minimize failure rates. We evaluated whether donor–recipient molecular immunogenicity metrics - Electrostatic and Hydrophobic Mismatch Scores (HMS/EMS) and eplet-based counts - improve post–liver-transplant survival prediction. The analytic cohort comprised adult, first time, single-organ deceased-donor transplants drawn from Scientific Registry of Transplant Recipients; follow-up was truncated at five years, and the endpoint was all-cause graft failure (earliest of graft failure or death; otherwise, censored). HLA variables were derived via high- resolution conversion and molecular mismatch computations …

Efficient Routing For Software-Defined Wireless Sensor Networks: A Naïve Bayes Approach, Amine Tcherak, Samia Loucif, Mohamed Ould Khaoua

All Works

Wireless Sensor Networks (WSNs) form the backbone of Internet of Things (IoT) applications. Software-Defined Networking (SDN) is an emerging networking paradigm that extends the lifetime of WSNs by transferring the resource-intensive routing task from sensor nodes to a centralized controller. However, many SDN-based routing schemes for WSNs employ inefficient algorithms at the controller. Traditional shortest-path methods often create traffic imbalances across neighboring nodes, while Reinforcement Learning (RL)-based approaches typically generate excessive control traffic. Both issues accelerate energy depletion and reduce network lifetime. Moreover, existing algorithms frequently overlook critical factors, such as buffer occupancy, when selecting relay nodes, which can lead …

Medical Education Conference 2025, Sultan Qaboos University

Sultan Qaboos University Medical Journal

No abstract provided.

Fall 2025 Student Scholar Symposium Abstract Volume, Chapman University Center For Undergraduate Excellence

Student Scholar Symposium Abstracts and Posters

No abstract provided.

Understanding Daily Habits Affect On Mood: A Semester-Long Wellness Analysis, Alexis Caitlin Sweeney

Student Scholar Symposium Abstracts and Posters

This research aims to track and assess lifestyle and personal health behaviors over a semester in order to gain a better understanding of how daily routines impact overall well-being. Ten variables are being monitored, including weight, caffeine intake, sleep duration, napping, exercise frequency, homework hours, Instagram screen time, vitamin use, practicing miles, and mood evaluations on a 5-point scale. I intend to identify trends and relationships between these factors through consistent data collection throughout the semester, such as the effects of sleep and caffeine on mood, motivation, and productivity.

As a student-athlete and health science major, this initiative gives me …

Computational Molecular Docking Of Fluorinated Morphine Derivatives For Improved Pain Management, Mirabella Romano, Emily Chen

Student Scholar Symposium Abstracts and Posters

The opioid epidemic impacts 60 million people worldwide every year. Morphine, a commonly prescribed opioid, binds to the μ-opioid receptor (MOR) in the body via protonation of its tertiary amino group and the MOR. An unfortunate side effect of this binding process is its non-selectivity in both peripheral and central tissues. While activation within inflamed peripheral tissues results in pain relief, activation within central tissues results in the unwanted and addictive side effects of opioids. Because there is a discrepancy in pH between healthy (central) and inflamed (peripheral) tissue, selective binding within the inflamed tissues could provide pain relief without …

Developing Accessible Narrative-Based Stem Learning Software For K-6 Braille Display Users, Dylan Ravel, Daniel Tsivkovski, Brandon Foley, Maryam Etezad, Franceli Cibrian, Ariel Han, Rajeev Joshi

Student Scholar Symposium Abstracts and Posters

This research develops a free, accessible web application that enables K-6 students who are blind or visually impaired (BVI) to learn STEM concepts using refreshable braille displays. Currently, most online learning tools are not designed for BVI students, creating a significant educational barrier.

The application interfaces with commercial braille displays and uses narrative-based learning to make STEM content approachable and engaging. By presenting material as interactive stories, students can connect with concepts while developing braille reading skills. The curriculum design prioritizes accessibility through the Accessible Rich Internet Applications (ARIA) standards and screen reader support.

The goal is to provide BVI …

Bridging Machine Learning And Islamic Scholarship: A Study In Hadith Translation And Similarity Analysis, Asiyah R. Speight

Student Scholar Symposium Abstracts and Posters

Translation of Islamic religious texts poses unique challenges requiring both linguistic and theological expertise. This study explores the application of neural machine translation (NMT) models to Arabic-English hadith translation while analyzing semantic similarity patterns across different human translations. Using the complete Sahih Bukhari corpus (7,550 hadiths) as the primary dataset, we adopt a dual approach combining transfer learning and comprehensive neural network analysis to demonstrate the critical impact of corpus size on model performance.

First, we fine-tune a pre-trained MarianMT Arabic-English translation model on the full Sahih Bukhari corpus, comparing models trained on 40 hadiths versus 7,550 hadiths. Performance is …

Tracking Wellness: A Semester Long Analysis Of Daily Habits And Lifestyle Choices, Elsa Garcia-Nguyen

Student Scholar Symposium Abstracts and Posters

Throughout the course of a semester, personal data was collected and analyzed to better understand how daily habits influence physiological and behavioral patterns. Data was recorded each day across multiple variables including caffeine intake, TikTok screen time, amount of sleep, amount of steps, distance traveled, allergy medicine adherence, cooking dinner or eating out, energy level, mediation practice, and amount of time studying. The purpose of this project was to explore how these daily lifestyle choices may relate to overall physical and mental well-being. By consistently tracking these behaviors, a dataset was created that captures patterns in daily habits and routines …

Selenium Nanoparticles As Versatile Delivery Tools, Amir Nasrolahi Shirazi, Rajesh Vadlapatla, Ajoy Koomer, Kyle Yep, Keykavous Parang

Pharmacy Faculty Articles and Research

Selenium nanoparticles (SeNPs) have emerged as promising metal-based nanoparticles for drug delivery due to their unique physicochemical properties, intrinsic bioactivity, and biocompatibility. SeNPs offer a lower toxicity, higher bioavailability, and flexibility to be customized for surface chemistry compared to traditional selenium compounds. Advances in synthetic strategies, including chemical reduction, green biosynthesis, and surface functionalization with polymers, peptides, or ligands, have improved their stability, targeting capability, and circulation time. SeNP-based systems have demonstrated unique anticancer, antimicrobial, and anti-inflammatory activities, as they can function as drug carriers and active therapeutic agents. The surface of SeNPs has been functionalized with ligands such as …

Medicaid Funding And Health-Related Social Needs: A Policy Analysis, Passion Ilea

Dissertations and Theses

The U.S. has disproportionately high health care spending compared to other high-income nations and comparatively poor health outcomes. The Centers for Medicare and Medicaid Services (CMS) have recently increased emphasis on addressing Medicaid member social needs. CMS believes addressing health-related social needs (HRSN) may reduce costs and improve health outcomes for Medicaid members. CMS has begun to test theories regarding the impact of member HRSN on health care by designing federal mechanisms to address HRSN, such as in lieu of services and settings-funded services, and by encouraging state Medicaid programs to develop their own approaches, such as Flexible Services. Information …

Artificial Intelligence In Higher Education: Opportunities And Challenges, Maytha Al-Ali, Adam Marks, Jasur Umirzokov, Noura Metawa

Iraqi Journal for Computer Science and Mathematics

While AI is often presented as a panacea for the challenges facing higher education, there is limited empirical evidence supporting its effectiveness in improving student learning and institutional performance. This gap between expectation and reality emphasizes the need for rigorous research, realistic goal-setting, and careful planning to ensure that AI technologies deliver on their promises in higher education. This study contrasts the potential utilization of AI technologies in Higher Education from the literature, against actual utilization in universities. The study also investigates the key barriers of AI implementation in higher education. This study uses a mixed-research methods approach, including case …

Retracted: Ai-Driven Flood Prediction, Monitoring, And Warning Systems: Design, Evaluation, And Simulation, Abdel Rahman A. Alkharabsheh, Lina M. Momani

Iraqi Journal for Computer Science and Mathematics

The Climate is becoming increasingly unpredictable, while the incidence of extreme weather is on the rise — both are contributing to surging global demand for advanced flood forecasting and monitoring services. This paper introduces an AI-powered Flood Monitoring and Warning System (FMWS) through an IoT sensor network, scalable real-time data analytics, and Machine Learning (ML) models to enhance the accuracy of prediction, risk analysis, and early warning dissemination in the notified areas. Hydrological and meteorological data would be collected by an ultrasonic sensor, a radar sensor, and a pressure sensor interfacing via GSM/GPRS, Wi-Fi, LoRa, or satellite network links. Machine …

3.311 Parking Policy

3.300 Facilities and Safety (Business Management)

No abstract provided.

Technology Use In Elementary Music Education: A Scoping Review, David T. Casali

Journal of the Association for Technology in Music Instruction

The purpose of this scoping review was to look at how music technology has been used in the elementary music classroom from 2020 to April 2025. Uses of technology were organized using the Substitution, Augmentation, Modification, and Redefinition (SAMR) model (Puentedura, 2006). Only articles that both described how technology was used and what the learning process looked like were included. A total of 26 articles met the criteria for inclusion. Multiple uses of technology across the four levels of the SAMR were represented from 14 different countries. An article from each of the four SAMR levels is described in depth …

Global-Local Method For Poroelasticity Problems With Localized Pressure Effects, Hemantha Kunwar

Math Department Colloquium Series

In many poroelasticity applications, pressure effects are confined to a small region, making it inefficient and possibly unnecessary to solve the full system across the entire domain. Instead, we propose to solve the poroelasticity problem locally, where pressure effects are significant, and use a simpler linear elasticity model elsewhere. This creates a coupled elasticity–poroelasticity problem with transmission conditions. To solve this coupled problem, we propose a new non-intrusive global–local algorithm that iteratively solves the elasticity problem in the entire (global) domain and the poroelasticity problem only in a local domain, ensuring proper transmission conditions across the interface. This approach, which …

Effects Of Ghost Energy Drink On Muscle Strength, Psychomotor Vigilance, And Mood., Jason M. Curtis, Jose J. Rojas, Flavia F. Pereira, Cassandra Evans, Elizabeth Espocito, Alyana Andal Andal, Gavin Poulshock, Hena Thakkar, Taila De Castro, Alexandra Jimenez, Antonio Cristanti, Antonella V. Schwarz, Juan Carlos Santana, Jose Antonio

Journal for Sports Neuroscience

Abstract

Background: This study aimed to evaluate the effects of a commercially available energy drink (Ghost®) compared to a caffeine-matched control on measures of mental and physical performance.

Methods: In a randomized, double-blind design, 62 participants were assigned to receive either the energy drink (Ghost®) or a caffeine-matched control (200 mg caffeine). Assessments were conducted at baseline and approximately 45 minutes post-ingestion, including the Psychomotor Vigilance Test (PVT), CNS Tap Test, handgrip strength, and the Profile of Mood States (POMS).

Results: Participant demographics are presented in Table 1. No significant between-group differences were observed for any performance measures. Both groups …