Digital Commons Network^™

Transforming The Law School Matrix, Susan L. Brooks

The Journal of Law Teaching and Learning

No abstract provided.

The Hidden Curriculum And The Discounting Of Students’ Identity: The Sources Of Disaffection And The Challenge In Formation Of Professional Identity, Cliff Zimmerman

The Journal of Law Teaching and Learning

No abstract provided.

Symposium Introduction: Interrogating The Hidden Curriculum: Implications For Formation Of Professional Identity, David I.C. Thomson

The Journal of Law Teaching and Learning

No abstract provided.

The Ferguson Effect, Ayleen A. Suarez

Quest

Research Essay

Research in progress for CRIJ 2328: Police Systems and Practices

Faculty Mentor: Stephanie Abramoske-Austin, PhD

This article began from a term paper assignment in CRIJ 2328, Police Systems and Practices—a required course for Criminal Justice students. The assignment asks students to research a current policing topic and write an essay that includes the history of the topic, its importance for modern-day policing, a review and analysis of the empirical evidence on the topic, and proposed solutions. Ayleen Suarez chose to research the “Ferguson effect.” The Ferguson effect began circulating online and in a variety of news programs after …

Vaccination Mandates And Civil Liberties, Sophia Choti

Florida Atlantic University Undergraduate Law Journal

Vaccination mandates in the United States sit at the crossroads of public health and individual freedoms, a complex and often controversial intersection. The enforcement of immunization policies has a long history of legal and ethical scrutiny, balancing the state's responsibility to protect its citizens with the constitutional rights individuals hold dear. The COVID-19 pandemic reignited this debate, amplifying existing tensions and presenting new challenges. This analysis argues that while vaccination mandates are constitutionally valid and essential for safeguarding public health, they must be designed with care to respect individual liberties and address modern challenges such as misinformation, inequities, and public …

Leetquest, Sanvir Bal, Vladimir Ceban, Matty Herzig, Daryl Ho

Computer Science and Engineering Senior Theses

The technical interview process for software engineering position has drastically changed in recent times to focus on Data Structures and Algorithms (DSA). Although, data structures and algorithms are a foundational aspect of several programming languages, the questions asked in the technical interview process do not accurately reflect, in terms of style and difficulty, the experience students and professionals have with DSA from school and work respectively. As a result, many have looked to online resources in order sharpen their DSA problem solving skills. However, the existing solutions are riddled with flaws. In particular, the learning resources they provide are locked …

The Effect Of Birthweight And Gestational Age On Cognitive Function In Midlife: The Bogalusa Heart Study, Eunsun Gill, David J Libon, Soo Jung Kang, Ileana De Anda-Duran, Lydia A Bazzano, Wei Chen, Camilo Fernandez-Alonso, Emily W Harville

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Although the relationships between birthweight, gestational age (GA), and cognitive function (CF) before midlife have been demonstrated, the relationships after midlife and potential racial disparities remain inconclusive. This study examined the association between birthweight, GA, and midlife CF stratified by race.

METHOD: 1,032 subjects from the Bogalusa Heart Study (67% Whites, 33% Blacks, mean age 48.1 ± 5.3 years) were studied. Cognition was assessed with tests measuring verbal episodic memory, working memory, attention, graphomotor information processing speed, and global CF. Each test was standardized by sex and age, then averaged. The global CF was computed by averaging all cognitive …

Beyond The White Coat: The Fight For Equal Healthcare By Minorities, Morgan Robinson

Florida Atlantic University Undergraduate Law Journal

Systematic oppression through medical discrimination has left a high rate of death in the minority community, with Black women having 2.6 times the rate of maternal mortality than White women. Medical professionals ignore minorities at a higher rate than White people. People of Color have been used as testers for medical professionals and reap the generational trauma of it, such as subjects of the Tuskegee Syphilis experiment passing it to their children. Even more, doctors today are taught that Black people have a “higher pain tolerance than other races,” so their symptoms are often dismissed. Legal solutions must be implemented …

Tripping Over "Trips"; International Inequities In Critical Phamaceutical Access, Michael Gomez

Florida Atlantic University Undergraduate Law Journal

Directed by the World Trade Organization (WTO), the Agreement on Trade-Related Aspects of Intellectual Property Right (TRIPS) of 1995 is the most comprehensive international policy on the creation, protection, definition, and transfer of International Property Rights (IPR). This policy was particularly damaging for underdeveloped countries when it came to the trade and importation of name-brand drugs, as TRIPS inherently expedited the unethical process of evergreening drug patents. As a result, the agreement forced many vulnerable regions— such as the Southern African Development Community (SADC)— to become dangerously dependent on foreign generic drug imports, predominantly from India. This paper analyzes the …

Enhancing Dermatological Skin Lesion Classification With Multi-Modal Attention-Based Models And Explainability, Conan Oreilly

SAML-25 Workshop on Statistical and Machine Learning

Accurate classification of skin lesions is critical for early detection of melanoma and other malignancies, particularly in resource-limited settings. This study presents a novel multi-modal machine learning framework that integrates dermoscopic images and structured clinical metadata to improve diagnostic performance. Leveraging the PAD-UFES-20 dataset, which includes over 2,000 smartphonecaptured lesion images and associated patient metadata, we benchmark a series of unimodal and multimodal models. Our results demonstrate that modality attention fusion (MAF) applied to a frozen SwinV2-Tiny vision transformer and metadata multi-layer perceptron (MLP), augmented with focal loss, yields a state-ofthe- art weighted F1-score of 0.84 and balanced accuracy of …

Intention To Commute By Public Transportation And/Or By Foot: Findings From A Pls Structural Equation Model, Simona Balzano, Houyem Demni,, Edoardo Pascucci,, Luisa Natale, Giuseppe Cappelli, Sofia Nardoianni, Giovanni C. Porzio

SAML-25 Workshop on Statistical and Machine Learning

Sustainable mobility stands at the forefront of contemporary discussions, driven by the clear imperative to transition towards more environmentally friendly transportation and patterns. This shift is widely recognized as a crucial opportunity to address the challenges and inherent dangers posed by climate change. It is then crucial to introduce attitudes to encourage voluntary behavioral changes toward different sustainable solutions. In this perspective, to foster a future where sustainable personal mobility options are widely embraced and integrated, it is crucial to comprehend the inclination of younger generations to use them. For this reason, a survey on the use of sustainable mobility …

Ai-Driven Personalized Radiotherapy Planning, Nithin Venkatesh, Marco Pota, Maged Shaban

SAML-25 Workshop on Statistical and Machine Learning

The planning of radiation oncology treatment is made more dynamic and individualized by Artificial Intelligence (AI). Routine radiotherapy practice applies normative procedures indifferent to patient-specific parameters such as tumor volume, patient anatomy, and heterogeneity in the delineation of treatment response. Inadequate and over-radiation treatment is the most prevalent outcome. Further, with the inclusion of AI, it can facilitate enhancing the healthcare industry through optimizing radiotherapy using an array of patient information such as molecular profiles and imaging data. The product offers an end-to-end AI-driven solution to all aspects of radiotherapy, from initial consultation (diagnosis) to adaptive treatment planning. All the …

A Machine Learning Approach To Improve Prediction In Chemical Exposure Risk Assessment, Michele Marro, Cédric Koller, Hasnaa Chettou, David Vernez

SAML-25 Workshop on Statistical and Machine Learning

Exposure models play a crucial role in predicting chemical exposure in workplaces, offering an essential alternative to measurements, which are resource-intensive and time-consuming and sometimes not possible. Despite their widespread use and continuous development, significant challenges persist, including variability in predictions, limited model updates, and difficulties in accessing the required input data. In this study, we investigate how modern machine learning techniques can contribute to the improvement of exposure models by addressing these limitations. To overcome the frequent lack of data, we explore the use of synthetic datasets generated through existing exposure models. This approach allows for the study of …

Survival Predictions From Classification Algorithms – Concepts And Application To Graft And Patient Survival After Kidney Transplantation, Antje Jahn

SAML-25 Workshop on Statistical and Machine Learning

Clinical prediction models are developed to predict long-term patient outcomes following medical interventions. One example motivating this research is the prediction of graft and patient survival after kidney transplantation, using data from the German organ transplantation registry. A practical issue in this context is to deal with incomplete information due to right-censoring, which arises when patients are lost to follow-up or enter the study at different times, resulting in varying durations of observation. This is particularly relevant in the registry data, where follow-up is frequently incomplete or irregular. While traditional survival analysis methods handle censoring by modeling the hazard function, …

Pathology’S Place In Understanding The Bias And Inequalities In Women’S Healthcare, Andrea Heaney, Eugene Hickey, Emma Murphy

SAML-25 Workshop on Statistical and Machine Learning

Women’s healthcare is a complex, multifaceted issue with both historic and implicit biases, along with biological differences between men and women. With the advancement of AI tools in healthcare and the potential for biased data to create biased models, it is vital to consider how women are represented in data. Previously conducted semi-structured semantic interviews with clinicians were analysed via Braun and Clark’s method of thematic analysis. The analysis of these interviews yielded the following themes: Gender Influencing Health, Pregnancy, Social Factors, General Health, Treatment, Training, and Research. These themes highlight that context is key to understanding the biases in …

Impact Of Spatial Diversity And Subject Variability On Wifi-Based Human Activity Recognition, Amany Elkelany, Robert J. Ross, Susan Mckeever

SAML-25 Workshop on Statistical and Machine Learning

In recent years, WiFi-based Human Activity Recognition (HAR) has gained substantial attention due to the ubiquity of WiFi infrastructure and advancements in wireless communication. Unlike camera-based systems that raise privacy concerns or wearable sensors that require user compliance, WiFi-based HAR provides a noninvasive and practical alternative that operates seamlessly with existing infrastructure. WiFi-based HAR leverages fluctuations in wireless signals, particularly Channel State Information (CSI), to passively detect and classify human activities. WiFi-based HAR models often achieve high accuracy in a single environment but suffer significant performance drops when applied to new environments due to variations in spatial settings, human movement, …

Local And Regional Pastors And Non-Profit Leaders Complete Gardner-Webb’S Searight Pace Grant Writing Course, Office Of University Communications

Gardner-Webb NewsCenter Archive

A group of ministers and non-profit leaders from local and regional ministries recently completed the Searight PACE course, “Grant Writing for Churches and Non- Profits.” Taught by Dr. Bobbie Cox, professor and chair of the Department of Public Service, the five-part series helped participants to develop the skills and resources needed to write successful grants.

Clinical Practice Guideline For Systemic Lupus Erythromatosus And Lupus Nephritis, Seleaina A. Thomas

Walden Dissertations and Doctoral Studies

Summary This project addressed the critical practice problem of delayed and inaccurate diagnosis of systemic lupus erythematosus (SLE), which has been linked to increased morbidity and mortality, particularly among marginalized populations. These diagnostic challenges have been recognized globally, with international research highlighting inconsistencies in care and the absence of standardized guidelines. Implementing inclusive and equitable clinical practice guidelines (CPGs) that consider social determinants of health, political determinants of health and actively involve diverse populations in research can play a crucial role in reducing racial disparities and improve outcomes for all lupus patients. Thus, the development of a CPG focused on …

2025-06-05 Minutes & Appendices, Longwood University

Board of Visitors Meeting Minutes 1964-

No abstract provided.

Beyond Barriers: Supporting Formerly Incarcerated Students In American Higher Education, Carly Jean Colbert

Journal of Prison Education Research

The United States prison industry is the largest in the world. With the reintroduction of Second Chance Pell in 2015, more people are starting their education while incarcerated, and some attempt to finish after release. However, they are faced with numerous barriers that may prevent graduation. Drawing on Astin’s theory of student involvement, this mixed-methods study examines the challenges that formerly incarcerated people face while pursuing college degrees. Rather than focusing on access, this research focuses on the supports that institutions of higher education can establish to help formerly incarcerated students persist and successfully complete their undergraduate degrees. The findings …

Nancy Lewen V. Pennsylvania Soldiers And Sailors Home

2025 Decisions

USDC for the Western District of Pennsylvania

University Counseling Center Therapists' Perspectives Of Counseling About Nutrition, Ana Lucia Pacheco

Theses and Dissertations

This study examined university counseling center therapists' perspectives on discussing nutrition in therapy. Despite the established link between nutrition and mental health, minimal research has explored how therapists approach these discussions. This study used interpretative phenomenological analysis (IPA) to analyze semi-structured interviews with 10 university counseling center therapists from the Mountain West region. Four overarching themes emerged: a deficit view of nutrition, perceived utility, ethical practice, and holistic care. Therapists unanimously recognized the connection between nutrition and mental health and primarily discussed nutrition with clients presenting with eating disorders or disordered eating, those who express interest, or as part of …

Tracking The Kinetics Cellular Glycolysis And Glutaminolysis Pathways Using Vibrational Spectroscopy, Combined With Multivariate Statistical And Machine Learning Approaches For Data Mining, Zohreh Mirveis, Nithin Patil, Hugh Byrne

SAML-25 Workshop on Statistical and Machine Learning

Understanding dynamic metabolic processes within living cells is crucial for gaining insights into cellular function and disease mechanisms. The kinetics of glycolysis and glutaminolysis pathways play significant roles, as alterations in their activity have been linked to various disorders, including cancer and mental health conditions such as bipolar disorder. These pathways therefore hold potential as biomarkers for disease diagnosis and therapy. However, real-time monitoring of their kinetics remains challenging due to the lack of suitable non-invasive techniques. Current gold-standard fluxomics approaches, such as mass spectrometry, are destructive to cells and thus unsuitable for time-resolved studies. In this study, we evaluate …

A Framework For Scalable And Controlled Hallucination Data Collection, Lin Ting Liang

Computer Science Senior Theses

This thesis addresses a key bottleneck in hallucination research: the scarcity and limitations of hallucination benchmark datasets. Existing datasets typically focus on a single type of hallucination and are expensive to produce due to the need for manual prompt creation and annotation. To overcome these challenges, we propose a novel mixture-of-experts (MoE) adversarial framework that actively induces hallucinations. Our framework employs three large language model (LLM) agents that iteratively and adversarially revise prompts to provoke hallucinated responses from a target question-answering model. It automates the generation of both intrinsic hallucinations (logical inconsistencies) and extrinsic hallucinations (inclusion of unverifiable external information). …

Conquer And Prevail Issue 189 June 5 2025, Wofford College. Office Of Marketing And Communications

Conquer and Prevail Newsletter

No abstract provided.

Develpoment Of Urchin-Like Gold Nanoparticles For Drug Delivery Of Glioblastoma And The Colorectal Cancer Cells, Joshua Ozougwu, Vinayak Shama, Bilal Javed Dr., Furong Tian Dr.

Level 3

No abstract provided.

Analysis Of Gold Nanoparticles To Develop The Rapid Antigen Biosensing Strips For Detection Of Toxins, Trang Nguyen Minh Long, Perveen Akhtar, Gayathree Thenuwara, Vinayak Sharma, Furong Tian Dr., Bilal Javed Dr.

Level 3

No abstract provided.

Development Of Recommendations For The Future Of Telehealth Use Among Sexual And Gender Minorities (Sgm), Jeffrey A. Wilhite

Dissertations and Theses

It is now well-documented that sexual and gender minoritized individuals (SGMs) face consistent stigmatization from not just the health care system, but also from overarching community, federal, and societal entities. Subsections of the SGM community, like gay men for example, face higher rates of eating disorders, certain cancers, alcoholism, mental illness and even obesity, when compared to heterosexual counterparts. Many of these challenges could be exacerbated by current political administration efforts to silence the community. Ensuring access to clinical care is one way of preserving the health and livelihood of the community. Telehealth, or synchronous, remote based clinical care, can …

Prevalence And Predictors Of Intimate Partner Violence Against Men In Kisumu Slums, Kenya, Elizabeth Akello Odemba, Edward A. Frongillo Jr. Ph.D., Sheri D. Weiser

Faculty Publications

Background

Men in sub-Saharan Africa experience intimate partner violence, with few reporting their cases to the legal authorities or coming out for assistance. Consequently, data on the prevalence and drivers of intimate partner violence in different parts of sub-Saharan Africa are inadequate. Therefore, this study was designed to investigate the prevalence and predictors of intimate partner violence against men in Kisumu slums, Kenya.

Methods

This retrospective cross-sectional study included 398 randomly selected men in intimate relationships aged 18–54 years and residing in Kisumu slums. The sampling frame used was from Community Health Volunteers covering the area of study. Data collection …

Spatial Analysis Of La Nana Bayou Watershed To Assess Stream Health, Rylee G. Gabbert

Electronic Theses and Dissertations

The purpose of this study was to evaluate the feasibility of using land cover mapping to identify water quality indicators within a river basin, assessing whether this method provides greater efficiency compared to traditional field-based water quality testing. Land cover mapping has efficiently monitored environmental changes by detecting alterations within specific areas. With the La Nana Bayou Watershed positioned in the heart of Nacogdoches City, an urbanized environment; it is subject to human induced alterations that can negatively affect the natural functionality of its system. When water quality indicators are successfully related to land cover maps, changes within the landscape …