11549 research outputs found
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Exploration of the Competencies of the Ideal Clinical Nurse Specialist
No full textDespite the importance of preceptors in aiding students during role transitions, limited research exists on the Clinical Nurse Specialist (CNS) preceptor to support a symbiotic relationship with the CNS student. The aim of this study was to explore the characteristics of the ideal CNS preceptor
OF PASSING AND FAILING: THE INTERPLAY OF CLASSROOM TEACHING AND TUTORING IN HIGH SCHOOL
No full textAs asserted by Bowers and Sprott (2012) and confirmed by Hart (2019) and Vatterott (2019), academic success can be achieved by students when given proper assistance and guidance during the learning process. Students at Carolina High School (CHS) were given the opportunity to attend tutoring activities during the school day, called PowerHour, to eliminate barriers students can face with attending after-school tutoring. The purpose of this study was to evaluate the effectiveness of Power Hour on improving student academic achievement. The results of this study were used to further refine the PowerHour program to provide the greatest benefit to the students attending CHS. This research focus motivated three research questions: (1) How have teachers’ perceptions of tutoring changed? (2) How have students’ perceptions of tutoring changed? (3) How have students’ academic outcomes changed? To address the research questions, I gathered student engagement data both before and after my intervention to discern if there were any changes in the level of student engagement in the courses the students were studying. I also collected data on teacher and student perceptions using open-ended surveys followed by focus group discussions with the participants. I used student achievement data to gauge any change in students’ academic outcomes. I analyzed and theorized the data I collected to help improve the overall PowerHour program so that it would provide students with a high-quality tutoring program that has the potential to positively impact their learning outcomes and ultimately set them on a path to future success
Tic: exploring Tourette syndrome with analog photography
No full textTourette Syndrome is a neurological disorder characterized by involuntary movements and vocalizations known as tics, which can significantly affect the daily lives of those diagnosed. This work explores the historical and contemporary perceptions of Tourette Syndrome, highlighting the misconceptions within the medical community and culture broadly. Beginning with an examination of the first documented descriptions of the syndrome, the research delves into the stigmatization of individuals with Tourette’s, linking past misunderstandings to modern portrayals in media. I employ a Diana F+ camera to express the emotional and physical complexities of living with Tourette Syndrome. Through analog photography, I embrace the imperfections of both the medium and the condition itself. This artistic endeavor seeks to promote dialogue and understanding of Tourette Syndrome, advocating for greater awareness and support for individuals affected by it
Creating A Predictive Pricing Model For National Football League Trading Cards
Get PDFCollecting trading cards is a decades-old hobby and fascination. Since statisticians were able to start assigning pricing values to cards, based on rarity of the card and the popularity of the player, the once casual hobby has transformed into a serious one, with some collectors focusing on financial prospecting. Currently, this “prospecting” and literature on the National Football League trading cards focuses on previous purchase prices and a subjective inference of player performance or popularity to “predict” whether a card could be a positive or negative investment. This project works to better understand correlates of average card values from a more comprehensive view of the industry: player’s physical attributes, card condition, NFL performance metrics, and draft performance metrics are considered. This paper shows strong positive relationships between passing touchdowns, passing yards, passing completion, passing attempts, passing interceptions, weighted value for drafting team, approximate weighted career value, draft pick, sacks, and Pro Bowl selection (R2 > 0.60 for all features) with average selling price of a trading card. Overall, ensemble learning produced the best model optimization when selecting the best model from Gradient Boost, XGBoost, Random Forest, and KNN outcomes. Stacking models led to increased explanation in variance and to reduced errors for all positions except Safety. MAE remained optimized for the Defensive End, Defensive Tackle, Linebacker, Offensive Lineman, Quarterback, and Running Back positions with XGBoost models
Bent Machine Guns and Melted Engines: A Study of the Applicability of Aircraft Accident Investigation to the Archaeological Examination of Historic Submerged WWII Aircraft
Get PDFThis thesis explores the applicability of aircraft accident investigation to understanding archaeological site formation processes of submerged World War II aircraft. Aircraft accident investigators are professionals who are called to accident scenes, military or civilian, to analyze the causes. Accident investigators attempt to recreate the circumstances of the aircraft accident by studying wreckage distribution, damage patterns on the wreckage, and the physics involved so that they may provide guidance for safer future air travel.
Many of the field and laboratory techniques used by aircraft accident investigators, such as site mapping and wreckage identification, align closely with already established archaeological methodologies. This thesis considers a Grumman F6F-3 Hellcat shot down during the Battle for Saipan in June 1944 as a case study to test how aircraft accident investigation methods can be applied to archaeological research. The site was excavated over the course of three field seasons from 2019 to 2023 as part of a joint East Carolina University/Defense POW/MIA Accounting Agency effort to locate and repatriate the remains of the pilot. This thesis conducts a parallel analysis of the site using both aircraft accident investigation and site formation process techniques. These analyses utilize a combination of historical research, geographic information system analysis, computer aided design software, and photogrammetric modeling to examine the aircraft wreck site and recreate the aircraft accident. Ultimately this research aims to reaffirm the value of interdisciplinary approaches to archaeology and proposes a number of field and analytical approaches for archaeologists studying aircraft to adopt in the future
A FRAMEWORK FOR TEMPORAL-BASED PREDICTION OF EYE DISEASES
Get PDFDiabetic retinopathy (DR) is a leading cause of preventable blindness, and deep learning has shown promise in automating its diagnosis. However, most models treat retinal images as static inputs, overlooking the temporal nature of disease progression. In this work, we propose a Temporal Vision Recurrent Transformer (TVRT): a hybrid architecture combining a fine-tuned ViT-Tiny backbone with a bidirectional LSTM, to capture both spatial features and temporal evolution from fundus image sequences.
To address the lack of temporal data in the APTOS 2019 dataset, we introduce two synthetic sequence generation methods: (1) stage-based augmentation using contrast and geometric transformations to mimic progressive DR stages, and (2) neural style transfer to simulate intra-stage variability using higher-stage fundus images as style references.
Experimental results show that while ViT and ResNet perform well on static classification, TVRT significantly outperforms them on progression modeling, achieving an F1-score of 0.86 on synthetic sequences with 5+ timesteps. Furthermore, soft attention maps derived from the ViT encoder provide interpretable visualizations that highlight clinically relevant features like hemorrhages and exudates. Our findings suggest that temporal modeling not
only enhances predictive accuracy but also improves interpretability, offering a promising direction for intelligent, progression-aware eye care systems
Navigating Menstrual Stigma: Impact of Early Menstrual Conversation on Young Males’ and Females’ Attitudes Towards Menstruation
No full textEarly conversations about menstruation shape young people's attitudes and behaviors toward it. A mixed-gendered survey of 368 American youths examined the relation between early menstrual conversation (EMC) and their beliefs and attitudes toward menstruation. The current study revealed that males were more likely to endorse menstrual restrictions and secrecy around the topic than were females. Being male, engaging in EMC later in life, discussing a greater number of negative topics, and having fewer opportunities for EMC with peers were found to be associated with restrictive attitudes toward menstruation. The implications of the current study’s findings are discussed.
*This is an Accepted Manuscript of an article published by Taylor & Francis in Women's Reproductive Health on 4/30/2025, available at: https://doi.org/10.1080/23293691.2025.2482603
Opioid Use Disorder Education and Trauma-Informed Care Training for Nurses in the Neonatal Intensive Care Unit
No full textWith the ongoing opioid problem in the United States, infants continue to be affected by neonatal abstinence syndrome (NAS), more specifically neonatal opioid withdrawal syndrome (NOWS), when they are born to mothers with opioid use disorders (OUD), whether treated or untreated. While neonatal intensive care unit (NICU) nurses are taught to care for infants with NAS through NAS scoring of their conditions and treatments, there is a gap in their knowledge regarding the NICU patients’ mothers’ OUD and treatment. A literature search supported education and training as remedies, so through an education module that included trauma-informed care (TIC) framework training, NICU nurses at a large tertiary hospital in North Carolina demonstrated an increase in knowledge on a post-module test, in addition to positive feedback. The post-test average score was 95.5% (N=35) compared to the pre-test average of 88.64% (N=60), which further suggests the importance and effectiveness of increased education for NICU nurses.D.N.P