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Mary Remembered, and Others
No full textMary Remembered is a longitudinal view of a woman who thought she would never die, but lived her life enshrouded in grief. The poem is preceded by three others
The PTSD Counselors
No full textThis poem explores the multiplicity of individuals who work in trauma-informed counseling
From the Place of Paradox: Translations of Greek Poems by Giorgos Kanabos
No full textGiorgos (George) Kanabos of Athens, Greece, is a leading contemporary poet, translator, activist, and quality small press publisher of Εκδοτικό εγχειρημα Αθάνωρ, Athanor Editions. His writings, translations, and selection of publications seek to access the mystical and inexpressible through language, propel us out of ordinary ways of thinking, and awaken a transpersonal and multi-layered consciousness. With a few words his poems open chasms.
Edward Tick, translator, is author of nine books, most recently Passage to Poros: In the Sanctuary of the Sea God. His poetry is presented in this issue. His poetry from Crete, The Bull Awakening was published by Kanabos as Ο ΤΑΥΡΟΣ ΕΓΕΙΡΕΤΑΙ and a bilingual edition, Γλυείς Αέρηδες, Sweet Breezes: Poems from Poros, is forthcoming
How the Gods Speak: Four Poems
No full textPoems from world sites invoking spirituality, memory, lessons from nature, love and loss
YouTube Case Study: Comparative Analysis of ML and ANN Models for View Prediction
Full text linkYouTube has experienced tremendous growth and widespread popularity, with the potential to impact billions of lives worldwide as its audience continues to expand each day. With this growth, accurately predicting video popularity has become increasingly valuable for creators and analysts seeking to optimize content engagement. This study focuses on comparing the performance of various machine learning (ML) models and artificial neural networks (ANN) for predicting YouTube video view counts using metadata features such as like count, comment count, video duration (seconds) and subscriber count. A dataset of 41,894 rows was collected from the Apify YouTube scraper and Kaggle, incorporating key metadata attributes. The study evaluates three machine learning, and ANN models using performance metrics including Mean Squared Error (MSE), R² score, and Median Absolute Error (MedAE). The objective is to determine which model provides the most accurate predictions and to analyze the significance of different metadata features in influencing view counts. By systematically comparing traditional ML models with ANN, this research offers insights into their effectiveness for video popularity prediction, helping creators and analysts better understand engagement trends on YouTube
K-12 Teacher Shortage Impact on Teacher Roles, School Systems, And Outcomes
Full text linkThe public K-12 education system is facing a critical teacher shortage across elementary, middle, and high school levels (Nguyen et al., 2024). While workforce shortages have impacted multiple sectors in the wake of COVID-19, the effects are particularly severe in education (Bacher-Hicks et al., 2023). Teacher shortages are not new, but the increasing complexity of K-12 education and the rising social-emotional demands of both educators and students have intensified their consequences (Dreer, 2023). Many educators, particularly in special education, report heightened stress and burnout, leading them to reconsider their commitment to the profession. This is especially alarming given the already critical shortage of teachers (Garcia et al., 2022). This starred paper examines the current teacher shortage through a review of literature, focusing on three key areas: (1) factors contributing to the shortage, (2) its impact on teacher roles and instructional practices, and (3) the effects of stress and burnout on teacher retention and attrition post-COVID. Understanding these challenges is crucial for developing policies and interventions that support educators and sustain the public education system
Translational and Morphological Analysis of Campylobacter jejuni Internalization to Spinacia oleracea
Full text linkWith today’s society becoming more health conscious and determined to live a healthier lifestyle, the consumption of raw vegetables and organic foods are increasing in popularity. As a result, rising numbers of foodborne illnesses are being reported, while food industries are increasing their awareness of the contamination of meats and produce. While some pathogens, such as E. coli O157:H7 and Salmonella, make national headlines due to their debilitating and possible life-threatening illnesses, the lesser-known infectious pathogen Campylobacter jejuni is the fourth leading cause of gastrointestinal illness in America. Mainly causing diarrhea, abdominal cramping, vomiting, and sometimes bloody stools, this stereotypical foodborne illness typically resolves without residual effects within 1-2 weeks. Although asymptomatic in some people and longer lasting illness in others, C. jejuni has been known to cause rare sequelae such as Guillain-Barré syndrome, reactive arthritis, and inflammatory bowel disease.
Albeit C. jejuni is commonly found in poultry, cases of campylobacteriosis have been increasingly linked to vegetables. Previous studies have indicated the cause of contamination is the manure from infected livestock being used as fertilizer for crop fields. The contaminated crop fields in turn causes the produce to be harvested with C. jejuni. The mechanism by which Campylobacter survives in the soil is poorly understood. Furthermore, whether the bacteria are attached to the produce and poorly washed or internalized into the plant itself is not known.
This study investigates the possible adhesion / internalization of C. jejuni to the roots and leaves of Spinacia oleracea, a commonly cultivated spinach. Bacterial adhesion to its host is thought to be critical to its pathogenicity prior to internalization. An increase in transcriptional response of the adherence proteins and genetic components, therefore, would be expected prior to any means of internalization of vegetables. Investigative techniques such as enumeration, direct visualization with scanning electron microscopy, and genetic components, we were able to gather detailed information about the bacteria-plant relationship that is strongly suggestive of internalization.
Enumeration at various timepoints demonstrated an increasing trend over time of recovered C. jejuni from leaves exposed to direct culture, suggesting an increasing number of internalized bacteria. Additionally, the data suggests most internalized bacteria occur within the first 60 seconds of exposure. Microscopy analysis of exposed leaves to both culture and contaminated nutrient solutions via SEM showed definitive visualization of bacteria internalization throughout the leaf structure, using the stomata as a means of entry. Genetic analysis of selected genes, to include cadF, jlpA, peb1A, rpoA, and porA, was performed using PCR and RT-PCR. RNA-seq was selected to identify transcriptional changes at increasing timepoints of leaf exposure to C. jejuni culture. Although somewhat suggestive, RNA expression of adhesive properties during C. jejuni – spinach leaf interaction remains questionable, requiring further study