Digital Commons Network^™

Fear, Threat, And Google Searches: Examining Ideological Shifts Using Big Data, Erin M. Cerasaro

Master's Theses

In their review of research on factors that affect political conservatism, Jost et al. brought together research from several theoretical viewpoints. This produced a model of psychological needs and motives in individuals which react with stimuli that make them feel fearful and threatened (F/T), increasing adherence to conservative ideology. While some research supports these claims, evidence shows that in some contexts these variables increase ideological polarization overall, but may also have a greater impact on conservative attitudes specifically. Researchers have had difficulty in investigating these relationships in naturalistic settings due to an inability to manipulate events that precipitate this ideological …

Multi-Solution Ternary Grover’S Algorithm For Logic-Based Quantum Machine Learning With Pseudo-Kronecker Reed–Muller Form Minimization, Sophia Lee, Ali Al-Bayaty, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

Optimization problems in machine-learning (ML) applications can be computationally challenging for classical methods, particularly when they involve large, unstructured search spaces. Quantum computing offers a promising approach to combinatorial optimization by utilizing quantum superposition and amplitude amplification. This paper presents a new methodology using logic-based quantum machine learning (QML) as a complete framework for employing a multi-solution ternary Grover’s algorithm to minimize incomplete binary functions represented by Pseudo-Kronecker Reed–Muller (PKRO) expansions, consistent with Occam’s razor principle. Unlike previous quantum approaches based on Kronecker Reed–Muller (KRO) or fixed-polarity Reed–Muller (FPRM) representations, our work introduces the first Grover-based optimization framework for PKRO …

A Systematic Approach For Controlling Tem Sample Thicknesses, Monte Kozell

Physics Faculty Publications and Presentations

Historically, TEM prep has been an artisan craft without a systematic workflow that ensures quantified control over TEM sample thickness. Over- and under-thinning is a significant problem in the TEM prep process. A direct measurement process was demonstrated to control the final thickness of the TEM lamella. Final lamella thickness was controlled by directly measuring lamella thickness in real time using a 10–15 kV SEM while performing secondary electron imaging at the mill position, allowing for (human-mediated) closed-loop processing. We demonstrated the utility of this technique by systematically thinning five TEM samples to discretely target thicknesses ranging from 100 nm …

To Spend Or Not To Spend: Strengthening Congressional Oversight On Executive Impoundment, Grant Scherer

Emory Law Journal Online

The [H]ouse of [R]epresentatives cannot only refuse, but they alone can propose, the supplies requisite for the support of government. . . . This power over the purse may, in fact, be regarded as the most complete and effectual weapon with which any constitution can arm the immediate representatives of the people, for obtaining a redress of every grievance, and for carrying into effect every just and salutary measure.

James Madison, Federalist No. 58[1]

While the President may initiate the annual federal budget process with his or her budget request, the Constitution confers the “power of the purse” on …

Toxic Plants In Zimbabwe: The Lantana Camara Species, Frank Kapungu, Cecilia Masvingwe

Poisonous Plant Research (PPR)

Lantana camara is a major invasive plant species in Zimbabwe. Its toxic effects pose a threat to livestock production, biodiversity, and development. A survey was carried out throughout the country to investigate the distribution of L. camara in Zimbabwe and assess the extent of its spread. Identification was done by toxicologists with the support of an experienced botanist from the National Herbarium of Zimbabwe. The location of the plants was identified using a portable Garmin eTrex® 10 Handheld GPS navigation device., and the coordinates were recorded. Quantum Geographic Information System (QGIS) was used to plot the map. L. camara was …

Identifying Barriers To Reporting Concerning Behaviors In A Public Secondary School, Will Durgin

Graduate Student Dissertations, Theses, Capstones, and Portfolios

Threat assessment is an effective school safety practice that allows schools to identify concerning behavior and intervene before it reaches a crisis. Because this process often begins with a staff member recognizing and reporting a concern, this study examined how school staff interpret concerning behavior, understand their responsibility to report it, and what can make reporting more difficult.

The study used a two-phase action research design in a small, rural public school district in western New York. The first phase used a survey built around five behavior vignettes, while the second phase consisted of staff interviews.

Staff generally agreed when …

Spartan Daily, September 24, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 15

The Grizzly, September 24, 2026, Sidney Belleroche, Adam Denn, Saniya Jeter, Sam Zwergel, Laela Stackhouse, Gianna M. Scotto, Nathaniel Nerone, Erik Groff

Ursinus College Grizzly Newspaper, 1978 to Present

Bats Found in BWC • Police Chief Discusses Flock Cameras • Okay, But What is APEX? • St. Joe's Coach Reflects on Ursinus Past • Fresh Dining Hall Hours Changes • Opinion: No, You are Not "Apolitical" • Ursinus Introduces Flag Football as Varsity Sport • Field Hockey Fends Off Competition to Begin Season

Survey Results Of Dnp Faculty To Guide Faculty Development Priorities At Two Large Universities, Gina C. Rowe, Deborah O'Briant

International Nursing Research Congress (INRC)

Since 2010, DNP programs in the U.S. have grown from 156 programs with almost 7000 students in 2010 to 394 programs with over 40,000 students in 2021.(1,2) This rapid growth in new DNP programs has resulted in considerable variability in DNP program structure and curricula (3,4). Many DNP and PhD prepared faculty do not feel confident in guiding DNP students to complete DNP scholarly projects and have expressed a need for more resource support and mentoring.(3,5) The primary purpose of the study was to create baseline data on faculty knowledge and learning needs to guide faculty development efforts for those …

Supporting The Academic Success Of Undergraduate Nursing Students Through Peer Mentoring, Kate Fayer, Jill Campbell, Erin Higley

International Nursing Research Congress (INRC)

The profession of nursing is incredibly demanding requiring extensive knowledge, clinical skills, and experience to develop the clinical judgment necessary to provide safe and effective patient care. According to Wang et al.¹, undergraduate nursing students describe higher levels of stress and stress-related symptoms than the general student population. This increased level of stress is one of the most significant barriers facing undergraduate nursing students ability to complete their studies^1-3. A peer mentoring program with undergraduate nursing students can help alleviate the adverse effects of stress and improve their overall academic performance^1,4-5.

Nursing student mentees …

Perceptions Of Ai Caring Behaviors Among University Students In Kenya And The United States, Rachel W. Kimani, Rose Maina

International Nursing Research Congress (INRC)

As AI tools increasingly mediate health communication, questions arise about whether users perceive these systems as capable of relational behaviors such as caring, empathy, or emotional support. Existing scholarship emphasizes accuracy and safety, yet little is known about how the emotional tone of AI communication, caring versus neutral, shapes user perceptions across cultural contexts.

This research-in-progress pilot examines how college students in the United States and Kenya interpret caring-tone and neutral-tone AI responses in health scenarios. Using a 2 (Tone: Caring vs. Neutral) × 2 (Health Context: Mental vs. Physical) × 2 (Site: U.S. vs. Kenya) mixed factorial vignette design, …

Plagiarism Myths And Realities: From Classic Misconceptions To The Age Of Ai, Suhasini Kotcherlakota

Instructional Materials: College of Nursing

Plagiarism remains a serious academic and research-integrity concern for students, researchers, and health professionals alike. This brief resource addresses common misconceptions about plagiarism, including its prevalence, who commits it, the limits of detection software, and text recycling. It also examines how generative AI has changed questions of authorship, attribution, and detection, and offers evidence-based clarifications drawn from publication-ethics guidance, federal research-misconduct regulations, and educational policy.

Fostering Translational Nursing Research Through Academic-Health System Partnerships, Monique Bouvier, Sharon Sonenblum

International Nursing Research Congress (INRC)

Nursing research often presents a disconnect between academic inquiry and the immediate needs of frontline clinical practice. Funding cycles can delay addressing emergent patient care challenges, and academically driven research questions may not always yield direct, value-added solutions for nursing workflows. To mitigate this gap, we initiated a novel program designed to foster collaboration between academic researchers and frontline clinical staff, facilitated by a clinically-based nurse scientist.

This initiative strategically brings academics to the point of care to gain firsthand insights into pressing clinical problems, and conversely, convenes clinical experts with academic counterparts to articulate real-world research priorities. This collaborative …

Virtual Reality Simulation Prebrief: Promoting Psychological Safety And Clinical Reasoning, Holldrid Odreman, Ryan Mcnally, Christian Baltus

International Nursing Research Congress (INRC)

A review of the simulation literature highlights the need to further understand the relationship between psychological safety and students’ clinical performance. Guided by Situated Learning Theory, this study aimed to determine to what extent there were differences in the experience of psychological safety and the performance of clinical judgement between three different pre-briefing techniques. Situated learning theory purports that learning is experienced within an individual's environment which is supported by the individual's active participation and shared with others. Therefore, as the collaboration and interaction between learner and educator during a pre-briefing activity increase, the level of support for learning and …

Nurses’ Contributions To Compassionate End-Of-Life Care In The Adult Intensive Care Unit, Emmanuel Kwame Korsah, Shelley Schmollgruber

International Nursing Research Congress (INRC)

Background: End-of-life care in intensive care units involves complex emotional, ethical, and clinical challenges. Compassionate end-of-life care extends beyond clinical management to include culturally sensitive spiritual support, facilitation of family presence, and death rituals. Nurses play a pivotal role in ensuring care is dignified and responsive to patients and families, yet their contributions in South African adult ICUs remain underexplored.

Purpose: To explore South African nurses’ contributions to compassionate end-of-life care in adult intensive care units.

Methods: A qualitative design using in-depth semi-structured interviews was employed. Sixteen nurses from a multidisciplinary adult intensive care unit participated. Interviews were transcribed verbatim …

Social Frailty In Asia: A Scoping Review Of Interventions, Gaps, And Priorities, Julienne Ivan Dagondon Soberano, Jed Montayre

International Nursing Research Congress (INRC)

Aim: Social frailty (SF) is a multidimensional state of social vulnerability linked to adverse outcomes in older adults. Asia’s rapidly aging population poses challenges for health systems, particularly in addressing SF-related conditions. This scoping review aimed to describe existing SF interventions in Asian countries, assess evidence volume and characteristics, and identify research gaps.

Methods: A systematic search of eight databases (PubMed, Scopus, CINAHL, Embase, Web of Science, PsycINFO, Cochrane Library, Google Scholar) identified English-language studies published from January 2020 to September 2025. The review followed Arksey and O’Malley’s framework and PRISMA-ScR guidelines. Interventions were synthesized across the care continuum (prevention, …

September 24, 2026, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Graduate Medical Education (Gme) In The Mountain West, 2025, Mia Tschan, Phillip Seo, Kerima Awol, Caitlin J. Saladino, William E. Brown Jr.

Health

This fact sheet presents data on graduate medical education (GME) capacity and physician retention across five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah. Data are reported on the number of Doctor of Medicine (MD) and Doctor of Osteopathy (DO) granting institutions, teaching hospitals, residents in training, Medicare-supported GME slots, residents training in slots not supported by Medicare direct GME (DGME), and the percentage of physicians trained in each Mountain West state. The data are derived from the 2025 Association of American Medical Colleges (AAMC) report, “State-by-State Data on Graduate Medical Education,” which includes graduate medical education data …

Listening To The Society Of Yeager Scholars: An Interpretive Companion For Institutional Memory And Strategic Reflection, Brian A. Hoey

Publications of the Honors College at Marshall University

Listening to the Society of Yeager Scholars is an interpretive companion for institutional memory and strategic reflection. Rather than offering a definitive history of the Society of Yeager Scholars or prescribing its future direction, the document reads the Society as an institution with a culture—one shaped over nearly four decades through educational purposes, relationships, traditions, expectations, and changing interpretations of what the Society is and should be.

Drawing on early oral histories, Alison Gerlach’s history of the Society’s first thirteen years, contemporary accounts, institutional records, strategic-planning materials, and sustained institutional experience, the document identifies recurring ways participants have understood the …

Conferencia Magistral – Más Allá De Las Reglas Y La Ficción: Cómo Los Juegos De Rol Construyen Colaboración, Significado Y Comunidad, Cristo Leon

STEM for Success Resources

Esta conferencia magistral, presentada por Cristo León durante las Jornadas de Sevilla sobre Juegos de Rol de 2026, examina los juegos de rol de mesa (Tabletop Role-Playing Games, TTRPG) como sistemas sociales colaborativos en los que los participantes negocian reglas, construyen narrativas compartidas, desarrollan relaciones interpersonales y generan significados colectivos.

Más allá de los enfoques tradicionales centrados en las mecánicas de juego y los universos ficticios, la ponencia explora cómo los pactos sociales y ficcionales configuran la colaboración, distribuyen la autoridad y establecen expectativas entre los jugadores y los directores de juego. Desde una perspectiva interdisciplinaria, se examina la intersección …

Applying Lonergan’S Method To A First Year Seminar Reflective Essay, Fr. John Thompson

San Jose - Lonergan Chair in Catholic Philosophy

Reflection on past experiences is crucial to spiritual and emotional growth.  Often times students in college do not spend enough time reflecting deeply on their experiences and as a result they do not realize the profundity of an event or experience for their overall life or for a sense of belonging to the University community.  Lonergan provides us with a framework for how we come to insight to make a decision about our experiences.  The process includes naming the experience, understanding the experience, making a judgement about the experience and concludes with a decision about the experience.  While stages may …

Assignment 1: Recipe Blog, Kylie E. Quave

Kylie Quave, First Year Writing: Food Archaeology for Civic Engagement

No abstract provided.

Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653], Tarek A. Hamad, Abdulhakim A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield

Engineering Management and Systems Engineering Faculty Research & Creative Works

This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal (https://www.elsevier.com/about/policies-and-standards/article-withdrawal). This article has been retracted at the request of the Editor.

Epistemic Resilience As A Media Literacy Goal: Moving Beyond Detection In The Age Of Generative Ai, Author Information Removed

JMLE Submissions Open for Review

Generative AI, encompassing large language models, image generators, and voice synthesis tools, has transformed the information landscape in ways that extend well beyond the production of fabricated content. By undermining the evidentiary signals through which individuals and communities have historically calibrated epistemic trust, it poses a structural challenge to existing media literacy frameworks. These frameworks, built around a “detect-and-debunk” paradigm, equip learners to identify false content through source verification, fact-checking, and evidence evaluation. These skills remain valuable but rest on assumptions that generative AI has rendered progressively less tenable. This article proposes “epistemic resilience” as a complementary goal: the cultivated …

Online Humiliation And Audience Responsibility In Adolescent Media Literacy Education, Author Information Removed

JMLE Submissions Open for Review

Online humiliation raises an educational problem that extends beyond identifying harmful messages: audience participation can make another person's embarrassment socially rewarding. This essay develops an argument for teaching responsibility for reactions and redistribution. Five student quotations reported in a Ghanaian doctoral manuscript illustrate tensions between recognition, joking, unwanted exposure and silent disagreement. They inform a conceptual discussion rather than a new analysis of focus-group transcripts. Drawing on scholarship on adolescent peer relations, bystander behaviour and media literacy, the essay distinguishes interpreting a message from judging what one's participation does to others. It proposes a classroom sequence using fictional exchanges to …

Adolescent Vulnerability To Disinformation, Polarisation, Filter Bubbles And Echo Chambers: A Systematic Review With Implications For Media Literacy Education, Author Information Removed

JMLE Submissions Open for Review

Disinformation, polarisation, filter bubbles and echo chambers pose growing risks to adolescents, as they are a group that consumes large amounts of information via social media. This paper presents a systematic review, following the PRISMA method, of the available empirical evidence on these risks among adolescents. Twelve empirical studies, published between 2019 and 2025, and collected from Web of Science and Scopus, were analysed. The results evidence that disinformation is the best-documented risk, whilst polarisation receives only marginal coverage and there is no direct empirical evidence regarding filter bubbles and echo chambers. Adolescents’ vulnerability is not uniform: it depends on …

Hybrid Deep-Machine Learning For Butterfly Species Image Classification, Maha A. Rajab, Wisal Hashim Abdulsalam, Firas A. Abdullatif, Tole Sutikno

Baghdad Science Journal

Classifying butterfly species is crucial in biodiversity studies and environmental monitoring. However, manual classification is often a laborious process that requires specialized expertise and is prone to error, especially when species have similar visual characteristics. To address these drawbacks, this paper presents a hybrid approach that combines machine learning with deep learning for feature extraction. To enhance the visibility of important features, preprocessing techniques such as background removal and binarization are applied to butterfly images. Feature extraction was performed using the SqueezeNet convolutional neural network, pretrained on the ImageNet dataset. By discarding the final classification layer, the network produced discriminative …

Deepfinsec: Advancing Online Financial Fraud Detection Via Structural Similarity-Based Graph Embedding, Diksha Sharma, Robin Prakash Mathur, Manmohan Sharma

Baghdad Science Journal

The frequent use of digital technology has significantly increased the use of online transactions. Most financial activities are conducted electronically. Financial fraud involves deceiving individuals or businesses for monetary gain. The proposed graph node embedding technique, FA-Struc2vec, is applied to the financial transaction network to extract graph node features based on their structural similarity and generate node embeddings. The node embeddings serve as input to DeepFinSec, which classifies transactions into desired classes. DeepFinSec is a proposed DL-based model that is a hybrid of CNN and LSTM. CNN processes transaction data and extracts local and high-level abstract features while LSTM captures …

Greenwavetransformer: A Lightweight Forecast-Driven Control Framework Toward Sustainable Data Center Management, Esraa Monzer Alqasmy, Nizar Nouri Alhafez

Baghdad Science Journal

Cloud computing continues to consume increasing amounts of energy, adding to operating costs and making sustainability and service reliability harder to maintain. Resource management, however, is still largely reactive in many systems: decisions are made after workload or renewable-energy conditions have already changed, with little use of what is likely to happen next. GreenWaveTransformer is designed around this gap. It combines a wavelet-based Transformer with an offline reinforcement-learning (RL) controller so that resource-management decisions can be informed by expected operating conditions rather than by the current state alone. A discrete wavelet transform is used to represent nonlinear and nonstationary workload …

Nucseg: An Effective Detectron2 Architecture For Nuclei Instance Segmentation In Histological Images, Payman Hussein Hussan, Syefy Mohammed Mangj

Baghdad Science Journal

Nuclei are often minuscule objects within histological whole slide imaging (WSI), presenting a labor-intensive task for pathologists to identify and analyze their characteristics. The precise identification of nuclei is essential in cancer pathology to conduct both quantitative and qualitative assessments of cancerous cells found within a slice of a tumor in order to assess the level of malignancy of the tumor; and to predict the outcome of the tumor. Manual identification is labor-intensive and prone to errors, whereas automatic recognition is complicated by the varied appearances and overlapping characteristics of nuclei, along with artifacts from digital photography. To address this …