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Appearance Over Function - The Impact Of Long-Term Oral Contraceptive Use On Brain Development, Breast Tissue Composition, And Future Lactation Outcomes, Fiona M. Wang

Dissertations

This integrative review examines the long-term effects of combined oral contraceptive (COC) use beginning in puberty on brain development, breast tissue composition, and future breastfeeding outcomes. Puberty is a critical developmental stage during which hormonal changes significantly impact the neurological and reproductive systems. The introduction of synthetic estrogen and progestin through COC use during this time may disrupt natural hormonal pathways, potentially altering neuroendocrine signaling and breast tissue maturation. Such changes may have lasting consequences, including impaired milk production, a weakened milk ejection reflex, disrupted maternal-infant bonding, and reduced overall breastfeeding success. The review synthesizes findings from endocrinology, neuroscience, and …

Covid-19 Adolescent Technology Use And Physical Activities: Cluster Analysis For Mental Health, Chunling Niu, Rui Jin, Ashley Love, Sohelia Sadeghi, Loren Cossette, Marissa Molina

Journal of Youth Development

This study examined how COVID-19 disrupted adolescent education, social interactions, and mental health by conducting exploratory cluster analysis to identify distinct profiles of technology use and physical activities, then comparing resulting clusters on demographics, social support, and mental health dimensions. Using the first wave of the longitudinal Oxford Achieving Resilience during COVID-19 (ARC) study of 1,196 United Kingdom adolescents aged 13-18, three clustering algorithms (k-means, k-medoids, and agglomerative hierarchical) identified optimal groupings validated both statistically and empirically. Three distinct clusters emerged: Cluster 1 (n = 380) characterized by low media use and moderate activity; Cluster 2 (n = 153) showing …

Culturally Responsive Stem Education: Integrating Mapping Techniques And Drone Technology For Youth, Mayra Rodriguez Gonzalez, Kevin G. Torres Garrido

Journal of Youth Development

Integrating drone and geospatial technologies with participatory techniques offers a promising approach to culturally responsive STEM education. However, these areas are rarely combined in existing literature. Drone and geospatial education for youth generally focuses on technical skills, while participatory methods in youth-led initiatives often aim to foster community connection and a sense of place. Unfortunately, these approaches typically exist in isolation within youth programming. This disconnect limits the potential to engage underrepresented youth in STEM by not linking spatial data to local contexts and culturally meaningful narratives. By combining these approaches, both technical learning and personal engagement could be enhanced, …

Best Practices For Hybrid Positive Youth Development Programming, William Wilton, Claudia Mincemoyer, Jill Lingard, Maria Walker

Journal of Youth Development

CLOVER by 4-H is an online learning platform that creates a space for youth to explore interactive learning experiences across a range of 4-H program areas. This article provides an overview of a pilot conducted around the implementation of CLOVER by 4-H to provide positive youth-development experiences in 4-H programming. As a result of the pilot, three distinct models for hybrid program delivery and a set of seven best practices for hybrid positive youth development have been identified. This article outlines the hybrid models that were examined and discusses the best practices for hybrid PYD with examples from the pilot …

Trauma Pascakelahiran Juga Terjadi Pada Ayah?, Akhmad Saputra Syarif, Joevarian Hudiyana

Jurnal Psikologi Sosial

This study aims to examine differences in perception and helping intention toward fathers (vs. mothers) experiencing postnatal trauma, as well as to explore the role of hegemonic masculinity and human nature framing in shaping such responses. Two experimental studies were conducted. Study 1 involved 67 participants using a within-subject design and independent t-test analysis. Study 2 included 215 participants using a mixed design (within and between-subjects) analyzed with mixed ANOVA.The results revealed that participants showed significantly higher intentions to help mothers compared to fathers experiencing postnatal trauma. This finding supports the assumption that hegemonic masculinity contributes to the perception that …

Combining Life Grid With Biographical Narrative Approach In Reconstructing Living Situation Of Metro Manila’S Street Dwellers, Melissa Q. Navarra, Irene Reyno, Wander Van Der Vaat

Institute of Philippine Culture (IPC)

Engaging homeless populations in biographical research is often hindered by the deep-seated distrust and trauma that characterize their lived experiences. This study introduces a methodological approach that transforms this hurdle, turning the research interview into an empowering and collaborative encounter. Using a combination of the Life History Calendar (LHC) and biographical narratives, we explored the complex life transitions of 15 individuals living on the streets and in a cemetery of Metro Manila, Philippines. The LHC served as a co-constructed visual scaffold, enabling participants with low educational attainment and histories of trauma to recall and structure their life stories with remarkable …

Issue 22: Actors Overlooked In Economic Integration: Syrian Refugee Single Mothers In Turkey, Ayşe Perihan Kırkıç, Fatmanur Delioglu

International Migration Research Centre

Syrian refugees in Turkey are struggling with integration, as policies fail to address holistic approaches, especially at they pertain to class and gender. Previous research on this topic has focused on legal rights, employment, the impacts on Turkey's labor market, and local perceptions of Syrian refugees in the workforce. This policy paper addresses a significant gap in the integration of Syrian refugee single mothers. Specifically, this research explores how economic integration is influenced by class and gender. To understand their experiences, semi-structured interviews were conducted with Syrian refugee single mothers residing in Istanbul. We argue that the economic integration of …

The “Founder’S Gaze”: How The Fourth Amendment Is A Surveillance Technology That Enables Ai To Scale Control Over The Subaltern, Diego H. Alcalá Laboy

Michigan Journal of Race and Law

Much has been written about the rise of artificial intelligence and machine learning applications and how the current Fourth Amendment law has been unable to mitigate the privacy harm that these tools produce. This article explores how the development and usage of AI and machine learning models is dependent on the originalism principles of Fourth Amendment Law. Utilizing Critical Surveillance Studies and Anticolonial Theory, I posit that the Fourth Amendment is a surveillance technology that categorizes conduct, persons, and places to impose the material conditions for the subjugation of historically minoritized communities within the United States. Furthermore, this article explores …

The Effects Of Mouthguard And Physiotherapy On Bruxism: An Emg And Posture Angle Analysis—A Pilot Clinical Study, Nathalie Yared, Pascal El Braidy, Romy Slaiby, Amine El Zoghby

International Arab Journal of Dentistry

Objectives: The purpose of this research was to determine whether a clinical trial to assess the impact of physiotherapy and mouthguards on bruxism was feasible. This included assessing participant recruitment, carrying out the interventions, and gathering data with appropriate techniques. The study focused on using posture angle analysis to evaluate changes in posture linked to bruxism and electromyography (EMG) to detect muscular activity. By exploring these elements, the study aimed to provide the groundwork for a more extensive, larger clinical trial.

Methods: Participants were recruited from the USJ dental clinics after their consultations. They were screened for bruxism using a …

The Worker Fight Against Compelled Listening: The Past, Present, And Future Of Captive Audience Meetings In The Wake Of Amazon.Com, Hailey Simpson

Nevada Law Journal

No abstract provided.

Enhancing Internet Of Things (Iot) Network Security: A Machine Learning-Driven Framework For Real-Time Intrusion Detection And Anomaly Classification, Loiy Alsbatin, Firas Zawaideh, Basem Mohamad Alrifai, Tareq A. Alawneh, Tareq A. Alawneh

Mesopotamian Journal of CyberSecurity

The rapid proliferation of IoT devices presents serious IoT network cybersecurity threats; hence, advanced IDSs are necessary. Signature and rule-based IDS mechanisms cannot address novel attacks, generate excessive alarms, and are computationally inefficient. Therefore, in response, in this paper, a machine learning IDS for IoT network real-time intrusion detection and anomaly categorization is proposed via black widow optimization (BWO) for optimal feature and hyperparameter selection. The IDS employs standard machine learning models, such as random forest and support vector machines (SVMs), and deep models, such as long short-term memory (LSTM), to address IoT environment nuances. The framework is evaluated on …

Blockchain-Integrated Edge-Cloud-Enabled Healthcare Data Analytics Based On Distributed Federated Learning And Deep Neural Networks, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Israa Badr Al-Mashhadani, Sajida Memon, Sajida Memon, Haydar Abdulameer Marhoon, Marwan Ali Albahar

Mesopotamian Journal of CyberSecurity

The exponential growth of healthcare Internet of Things (IoT) data necessitates secure, low-latency analytics that extend beyond centralized architectures. This paper presents BDAFL DNN, a blockchain-integrated data analytics framework that combines Federated Learning (FL) and Deep Neural Networks (DNNs) for real-time, privacy-preserving healthcare analytics across edge and cloud resources. Local devices such as smartwatches and phones collect noninvasive time series sensor streams (heart rate, temperature, and abdomen sensors), perform on device DNN training, and send only model updates to healthcare edge nodes, where a blockchain ledger validates updates for integrity and traceability; validated updates are then aggregated in the cloud …

“Small” Voices, Big Wins: Analyzing Remedies In Children’S Climate Cases, Maria Antonia Tigre

Sabin Center for Climate Change Law

Children’s climate litigation has emerged as a powerful tool to address the climate crisis, with young plaintiffs around the world taking governments and corporations to court to demand climate action. This Article examines successful cases — those in which relief sought by the applicants was fully or partially granted — across five continents, providing an “around the world” perspective on the evolution and impact of youth-led climate litigation. Focusing on landmark cases in Australia, Colombia, South Africa, South Korea, and the United States, this analysis highlights the arguments presented by young plaintiffs and the judicial reasoning that supported the relief …

The God Prompt And Deus Ex Machina: Techno-Theological Tropes And Operational Metaphors In Generative Media, James Hutson

Faculty Scholarship

This study reframes two durable tropes—the ―God Prompt‖ and the deus ex machina—as analytic lenses for understanding how contemporary generative systems stage beginnings and endings of cultural production. The ―God Prompt‖ denotes command-driven synthesis in which minimal textual instructions instantiate content on demand, crystallizing a production loop of input, model execution, and post hoc evaluation that orients anticipation toward instantaneous yield and controllable variation. The deus ex machina names an externally imposed resolution that interrupts causal development—historically a crane-borne god, functionally an algorithmic override—thereby concentrating attention on closure mechanics rather than world-building continuity. Read together, the pair offers a compact …

Emergency Department Utilization Among Co-Residing Family Caregivers Of Persons Living With Dementia, Pei-Chun Cha, Craig Rothenberg, Anita N Chary, Justine Seidenfeld, Ula Hwang, Terri Fried, Joan K Monin, Arjun K Venkatesh, Cameron J Gettel

Faculty, Staff and Students Publications

No abstract provided.

Excision And Regional Flap Reconstruction With Radiation Therapy Of Granuloma Annulare Of The Digit: A Case Report, Austin Y Jiang, Linda K Green, David Netscher

Faculty, Staff and Students Publications

Granuloma annulare (GA) is a benign, often self-limited granulomatous skin condition that typically resolves spontaneously. Treatment is often not required, but topical and injectional corticosteroids are the most common interventions. Excision is effective for diagnosis and temporary treatment, but usually not considered curative. This case report describes the unconventional treatment of a recurrent biopsy-proven GA of the index finger. Due to the combination of the recalcitrant nodules interfering with function and patient preference, the nodules were excised multiple times. Ultimately requiring reconstruction with a pedicled radial forearm flap, the patient thereafter received radiation therapy to prevent recurrence, the combination of …

Exact And Approximate Conformal Inference For Multi-Output Regression, Chancellor Johnstone, Eugene Ndiaye

Faculty Publications

It is common in machine learning to estimate a response y given covariate information x . However, these predictions alone do not quantify any uncertainty associated with said predictions. One way to overcome this deficiency is with conformal inference methods, which construct a set containing the unobserved response with a prescribed probability. Unfortunately, even with a one-dimensional response, conformal inference is computationally expensive despite recent encouraging advances. In this paper, we explore multi-output regression, delivering exact derivations of conformal inference p-values when the predictive model can be described as a linear function of y . Additionally, we introduce a multivariate …

High-Resolution Peripheral Quantitative Computed Tomography Reliability And Accuracy Of Bone Density And Morphology Properties In Children, Roman J Shypailo, Chadi Calarge, Punam K Saha, Xiaoliu Zhang, Xiaojie Chen, Stephanie Dinh, Xiaofan Huang, Babette S Zemel, Fida Bacha

Faculty, Staff and Students Publications

Volumetric bone density, microarchitecture, and strength measures using HR-pQCT are valuable measures of bone health in pediatrics. Our cross-sectional study evaluated bone measure reproducibility in pediatric participants using repeat HR-pQCT (XtremeCT II, Scanco Medical) scans of non-dominant distal tibia and radius of 30 healthy children and adolescents (7-17 yr, 47% female) by 2 technicians. Additionally, we examined HR-pQCT and micro-CT of 26 cadaveric distal tibia specimens to evaluate agreement between the modalities. All HR-pQCT scans were analyzed using manufacturer-provided software (Image Processing Language, Scanco Medical) and a fully automated, previously validated, in-house algorithm, offering measures of bone microstructure (eg, trabecular …

Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar

Faculty Research, Scholarly, and Creative Activity

Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …

Pre-K Teachers’ Perceptions About Professional Learning: Influence On Instructional Methods, Classroom Management Skills, And Student Outcomes, Victoria Abakah Korsah

Electronic Theses and Dissertations

The purpose of this qualitative descriptive phenomenological study was to solicit pre-K teachers’ perceptions about professional development and its influences on instructional methodology, classroom management skills, and student outcomes. Interviews conducted with 11 teachers from childcare centers in a major urban city of Illinois provided insight into experiences of types of PL and development engagement, such as online courses, webinars, learning communities, coaching, mentoring, professional conferences, and content selection. Other experiences involved social-emotional learning, lesson planning, project-based learning, and how to teach children with special needs. The interview data collected from the participants yielded five themes using Colizzi’s data analysis …

Navigating Barriers: The Experiences Of First-Generation, Low-Income, Hispanic Male Stem Majors Enrolled In Texas Universities, Katherine L. Autry

Electronic Theses and Dissertations

This qualitative descriptive study explored barriers, strategies, and career aspirations of 10 firstgeneration, low-income Hispanic male STEM students at Texas universities. Prior research highlighted systemic inequities affecting this group’s academic success. The study addressed how these students described educational barriers, strategies to overcome them, and influences on their STEM career aspirations. Data were collected via 10 semistructured Zoom interviews, online questionnaires, and open-ended questionnaires from participants at four Texas-based universities. Reflexive thematic analysis with NVivo software identified five themes: sociocultural and economic barriers, academic and institutional challenges, resilience and coping strategies, support systems, and influence on career aspirations and identity. …

School Leaders’ Perceptions Of Restorative Practices On Student Behavior, Jennifer Mary Herold Fontenot

Electronic Theses and Dissertations

United States public schools turned to a zero-tolerance approach to school discipline with hopes of improving school safety and climate in the 1990s. Administrators dispensed consequences such as suspension and expulsion without considering the whole student, regardless of the student’s conditions, motivations, or background. Many schools today focus on punitive measures rather than a holistic approach that considers the root causes of behavior, such as socioeconomic factors, mental health issues, or the student’s home life. Such actions can lead to disproportionately harsh punishments for marginalized students, particularly those from low-income backgrounds or communities of color, exacerbating existing inequalities. Thus, the …

Differences In Peer Social Connections Between Traditional And Online Nurse Residency Programs, Tatum Leonard

Electronic Theses and Dissertations

The anticipated retirement of baby boomer nurses by 2030 will intensify the global nursing shortage, a crisis that demands innovative strategies for onboarding and retaining new graduate nurses. Nurse residency programs (NRPs) are designed to ease the transition from student to practicing nurse, reduce turnover, and foster professional resilience. Amid the COVID-19 pandemic, many NRPs rapidly transitioned from traditional, in-person seminars to synchronous, online formats. This study explored differences in peer social connections between traditional and online NRPs, focusing on three constructs: sense of community, collaborative learning, and peer social support. Using a quasi-experimental, mixed methods approach, this secondary data …

Eece 311 Educational Psychology Oer, Sunghee Shin

Open Educational Resources

This course will examine the major learning theories and general principles underlying effective instruction. Students explore classroom structures and management, intelligence, learning styles, individual assessment, and the impact of culture and class.

A Systematic Review Of Physical Therapy Rehabilitation For Stroke Survivors In Arab Countries And Saudi Arabia: Current Approaches And Future Challenges, Abdullah I. Alhusayni, Abdullah H. Alzahrani

Saudi Medical Journal

ABSTRACT Objectives: To systematically review physical therapy interventions for stroke survivors in Arab countries and summarize the clinical and demographic characteristics, types and intensities of interventions, outcomes assessed, and adverse events. Methods: We conducted a systematic search of Google Scholar, ISI web of science, Scopus, Medline/PubMed, and ProQuest databasesfrom inception to 2025. Studies were eligible if they evaluated physical therapy interventions for stroke rehabilitation in Arab countries and reported clinical outcomes. We included randomized controlled trials, cohort studies, and case-control studies. Study selection followed PRISMA guidelines. Results: Five studies met the inclusion criteria. Interventions included neuromuscular electrical stimulation (NMES), radial …

Prevalence Of Anxiety And Depression Among Female Patients Awaiting Pre-Implantation Genetic Diagnosis In A Saudi Arabian Tertiary Hospital, Amani S. Alotaibi, Nouf A. Alshamlan, Lujain A. Alsubki, Lina O. Altuwaigri, Sara A. Awan, Dania Farooq, Biam A. Saydo, Hania F. Farhan, Lara M. Samhan, Laiba M. Yaseen, Khalid A. Awartani

Saudi Medical Journal

ABSTRACT Objectives: To estimate the prevalence of anxiety and depression symptoms in females awaiting preimplantation genetic diagnosis (PGD) as well as investigate their associated factors. Methods: This cross-sectional study included 289 female patients awaiting PGD at a large tertiary hospital in Saudi Arabia. A structured questionnaire was used to collect information on patient characteristics, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and data on PGD. Independent factors associated with anxiety and depression were identified using multivariable analysis. Results: The prevalence of anxiety was 13.5% and that of depressive symptoms was 12.1%. Odds of anxiety were higher among females with a Master’s …

Cutting-Edge Research From The 2024 Middle East Rheumatology Conference (Mrc 2024) Of The Gulf Cooperation Council Association Of Immunology And Rheumatology (Gcc-Air), Ahmed S Zayat, Beena Hamid, Martin Lee, Fahdah Alokaily, Maryam Al Nisf, Mahmood Hachim, Hanan Al Reyes, Khalid Alnaqbi, Amal Hussain, Fiaz Alam, Ghida Al Dabi, Suad Hannawi

Saudi Medical Journal

No abstract provided.

Borderplex Business Barometer, Volume 9, Number 9, Thomas M. Fullerton, Steven L. Fullerton, Robert Sandoval

Border Region Modeling Project

No abstract provided.

Boosting Symbolic Execution For Vulnerability Detection, Haoxin Tu

Dissertations and Theses Collection (Open Access)

Software systems written by humans tend to be unreliable and insecure, hence, bugs or vulnerabilities in them are inevitable. Symbolic execution has shown considerable potential in detecting diverse types of software bugs and also vulnerabilities that have severe security implications. However, existing symbolic execution engines still suffer from at least three fundamental limitations in memory modeling, path exploration, and structured input generation, which significantly impede existing engines from efficiently and effectively detecting software bugs and vulnerabilities.

The objective of this dissertation is to boost existing symbolic execution engines by designing a new memory model, two new path exploration strategies, and …

Memory-Efficient Graph Processing On Gpus: Reducing Intermediate Data Structure Overhead, Chang Ye

Dissertations and Theses Collection (Open Access)

The increasing scale of real-world graphs in domains such as fraud detection, community detection, and biological analysis demands high-throughput, memory-efficient graph processing solutions. GPUs offer massive parallelism for accelerating such workloads, and numerous frameworks have been developed to leverage their computational power. These frameworks primarily focus on optimizing scheduling to better align graph processing with GPU architectures. It performs well for algorithms with low memory demands, such as BFS, SSSP, and PageRank. However, for algorithms that require substantial memory, such as label propagation, and subgraph counting, the limited memory capacity of GPUs often becomes a significant bottleneck.

This dissertation addresses …