Hubbard Street Dance Chicago

Hubbard Street Dance Chicagohttps://digitalcommons.kennesaw.edu/danceprograms/1008/thumbnail.jp

Breast Milk Versus Formula Feeding in the Development of Necrotizing Enterocolitis Among NICU Infants: An Integrative Review

Introduction/Question: NEC is a serious condition characterized by the death of intestinal tissue, primarily affecting premature infants or those with low birth weight. The incidence of NEC poses a significant concern in neonatal healthcare due to its substantial mortality risk, particularly among vulnerable populations. This condition can lead to various complications, including sepsis, nutritional deficiencies, delays in growth and development, and, in severe cases, death. NEC not only impacts the health of the infant but also affects the emotional well-being and bonding experiences of parents. Despite advancements in neonatal care, the rate of NEC has increased, highlighting the need to assess the associated risk factors and potential interventions. The objective of this integrative review is to investigate how different types of feeding, specifically breast milk compared to formula, affect the development of NEC in infants in the United States. Findings: Research revealed the protective role of breast milk composition against NEC. Specific substances, such as bioactive lipid dioleoyl phosphatidylcholine (DOPE), Immunoglobulin A (IgA), and Human Milk Oligosaccharides (HMOs), make breast milk unique and beneficial for newborns. Studies have also found that Exclusive Human Milk Diet (EHMD) and fortified maternal milk decrease the risk of NEC compared to bovine-based fortifiers. In contrast, endotoxins and lipopolysaccharides, which are found in formulas, are known to contribute to mortality from NEC in premature infants. Conclusion: This review highlights the advantages of breast milk over formula feeding in preventing NEC in premature infants. Key findings suggest that human milk’s protective properties, including oligosaccharides and IgA, contribute to its superiority. The use of EHMD with fortifiers improves growth and lowers NEC incidence. Further research is needed on educational programs for healthcare professionals to standardize feeding practices and understand the effects of combining breast milk and formula. Education for caregivers about the benefits of breast milk is essential for the health of premature infants

Asthma Integrative Review: Effects of Aerobic Exercise on Asthma Exacerbation

Asthma is a chronic respiratory illness defined by airway inflammation and episodes of exacerbation. Pharmacological intervention remains the treatment of choice; however, there is growing evidence to support moderate intensity aerobic exercise as adjunct therapy to promote asthma control. The integrative review evaluates current evidence supporting the PICO question: In adults with mild to moderate asthma, what is the effect of prescribed aerobic exercise on reducing exacerbations? A systematic search of CINAHL, Health Source: Nursing, MEDLINE, and PubMed identified eligible studies. The inclusion criteria required peer-reviewed quantitative articles written in English and published within the past five years. In addition, adults older than 18 years, mild to moderate asthma, and the effects of aerobic exercise on asthma exacerbations were included in the search. Pediatric studies and articles unrelated to exercise were excluded. An evaluation table was used to collect data which was used to organize, code, and categorize themes common across the selected articles. The four themes include: quality of life and asthma control, moderate to high intensity exercise, pulmonary rehabilitation, and weight reduction coinciding with exercise. The findings suggest that moderate intensity aerobic exercise programs decreased the frequency and severity of exacerbations. Pulmonary rehabilitation programs integrating aerobic exercise supported symptom management, quality of life, and weight reduction. Collectively, the research supports prescribed aerobic exercise and rehabilitation-based training may provide a valuable treatment for adults with mild to moderate asthma. Standardized exercise protocols and long-term studies are essential to determine optimal training practices and strengthen clinical guidance

KSU Chamber Singers: GMEA Send Off Concert

with the Harrison High School Chamber Singershttps://digitalcommons.kennesaw.edu/musicprograms/2964/thumbnail.jp

Updating the phylogeography of four-toed salamanders with additional genetic sampling from the Appalachian mountains.

The four-toed salamander is found throughout a wide range in North America, which provides different environmental and geographic challenges that may structure patterns of phylogeographic diversification over time. A previous study used mitochondrial DNA sequence data to propose phylogenetic relationships between clades, finding especially high levels of haplotype diversity in the southern Appalachians. In this current study, we sought to better understand the phylogeographic relationships of the four-toed salamander within the Appalachians—including new samples collected since the completion of the previous study . We used polymerase chain reaction (PCR) and existing primers to amplify mitochondrial DNA from samples, conducted Sanger sequencing, and then aligned these sequence data with those from the previous study. We then used the data to build a phylogenetic tree and place our samples within the existing phylogenetic framework. We hope that our new data—along with larger-scale genomic data from the same samples—will help us gain a better understanding of the genetic diversity and distribution of this salamander, aiding conservation efforts. We also hope that it highlights the importance of the Appalachians as a biodiversity hotspot and in the biogeographic history of amphibians

Mapping the Lexicon of Healthcare: Connecting ICD codes to Clinical narratives

Electronic health records are digital versions to manage and facilitate consultations and follow-up on treatments with the patients. It includes information like medical history, diagnosis, medications and test results of a patient. This digital system has been adopted by the majority of developed countries across the globe. Clinical services use ICD codes [International Classification Codes] to code the diseases and medical condition of an individual. ICD codes have a significant role in secondary purposes including funding, insurance claim processing and research. The main challenge with the use of ICD codes for a patient is to decode its meaning due to the complexity of technical medical terminology, lack of common language/context and no reference available on EHR system to direct translate it. To overcome this challenge, we would like to propose an AI-powered model to help the patients with decrypting the description of the ICD code mentioned on the medical record. The model would use unstructured clinical summaries and map it to the most relevant ICD codes. Model includes usage of Pytorch for deep model building, Flask for flexible web framework design, publicly available kaggle dataset for ICD-10 code library and clinical narrative generation and BERT (Bidirectional Encoder Representations from Transformers) for extracting the medical concepts and map them to the appropriate ICD codes. By leveraging BERT’s ability to understand and predict, we will be targeting to bridge the gap between patient comprehension and ICD Codes with an accuracy of ~ 60-80%. This will help patients to avoid any anxiety about misinterpretation, simple understandable explanations and continual usage of digital systems

Evaluation of Compassion Fatigue and Perceived Organizational Support in Georgia Animal Rescues

Animal rescue volunteers often face emotionally demanding situations, making them vulnerable to compassion fatigue. Compassion fatigue (CF) combines elements of burnout with secondary traumatic stress and can impact an individual’s physical and mental health. We examined the relationship between animal rescue volunteers’ levels of CF and the degree to which they felt valued and supported by the organizations for which they volunteered (Perceived Organizational Support (POS)). We distributed surveys to 104 animal rescue organizations in Georgia, yielding 259 valid responses. Our sample was majority female (88.4%) and White (91.5%), primarily volunteering with dogs (65.3%) and cats (34.0%). The survey combined a Professional Quality of Life Scale (assessing compassion fatigue through subscales of compassion satisfaction, burnout, and secondary traumatic stress) and a shortened and modified POS scale. Our data violated normality assumptions, so we used Kendall’s tau correlation coefficient to analyze the data. Preliminary analysis revealed that POS was partially related to CF, correlating negatively with burnout (τb= -.230, p \u3c .001) and positively with compassion satisfaction (τb= .323, p \u3c .001). However, the analysis also found that POS did not correlate significantly with secondary traumatic stress, (τb= -.041, p = .353). This study is the first to compare levels of CF and POS in animal rescue volunteers. Organizations can use this information to better support their volunteers, leading to increased volunteer retention over time

Exploring Protein Interactions to Understand Gene Regulation by the Drosophila Ecdysone Receptor

The Ecdysone Receptor (EcR) is a nuclear receptor found in invertebrates, such as drosophila, that regulates gene expression during development and reproduction. While it is known that the ligand binding domain (LBD) of the ecdysone receptor binds some accessory proteins besides the ligand to regulate gene expression, protein-protein interactions with the ligand binding domain of the ecdysone receptor is understudied, and identifying the full counsel of these proteins can give major insights into how the system regulates gene expression. This project uses the Yeast Two-Hybrid (Y2H) assay to investigate novel physical interactions between the LBD of EcR and proteins in a drosophila cDNA library. The LBD is fused to the DNA binding domain of Gal4, while a drosophila library of cDNA is fused to the DNA activation domain of Gal4, creating bait and prey proteins respectively. When bait and prey are transformed into yeast, and if they interact, Gal4 transcription factor is successfully reconstituted which then activates reporter genes resulting in blue colonies and resistance to the antibiotic aureobasidin, enabling the identification of novel protein-protein interactions. A preliminary check for autoactivation was completed by transforming our bait into yeast and performing the assay to ensure that reporter genes are not activated by the LBD in the absence of the DNA activation domain. Y2H controls were also performed; the positive control confirmed interaction between known interacting proteins p53 and T-antigen and the negative control confirmed that known non-interacting proteins do not activate reporter genes. By completing the check for potential autoactivation and positive and negative controls of the Y2H assay, it was determined that the assay is functioning as designed, and further experimentation can be completed. The library screening will be completed to determine proteins that positively interact with the LBD of EcR and potentially aid in gene regulation

Exploring the Role of Affordances and Constraints in Shaping Trust within the Mobile Money Ecosystem: A Case of Rural Communities in Sub-Saharan Africa

This study delves into the intricacies of mobile money technology (MMT) in rural areas of Low-Middle Income Countries (LMICs) and examines its ecosystem dynamics, affordances, constraints, and the role of trust in adoption and sustained usage. It aims to address the existing gaps in understanding the challenges and inconsistencies surrounding MMT interactions in rural communities. Emphasizing the importance of viewing MMT as an evolving ecosystem rather than just a platform, the study seeks to uncover new perspectives on the affordances and constraints shaping trust and adoption in rural communities. Primarily, the study seeks to contribute theoretically to the discourse on MMT in rural areas by conceptualizing contextual affordances and constraints. Furthermore, the findings of this research could offer valuable insights for policymakers and stakeholders seeking to understand and address the discrepancies in previous studies on MMT adoption in rural areas

Machine Learning Driven Email Phishing Detection

Phishing attacks pose significant risks to cybersecurity, exploiting user trust through deceptive email content. This paper presents a machine learning based framework for detecting phishing emails using a 2024 dataset comprising over 80,000 labeled samples sourced from PhishTank and Kaggle. Features were engineered from URLs, email content, and metadata. Five models— Logistic Regression, Support Vector Machine (SVM), Random Forest, XGBoost, and K-Nearest Neighbors (KNN)—were evaluated. Simulated results demonstrate that ensemble models, particularly Random Forest and XGBoost, delivered optimal results, with near-perfect accuracy and recall. The study highlights the efficacy of combining feature-based engineering with ensemble learning to enhance real-time phishing detection