Digital Commons Network^™

Introduction, Nauman Faizi, Mark James

Journal of Scriptural Reasoning

No abstract provided.

"A Right Spirit Within Us": Coleridge And Hardy On Sr, Ben Quash

Journal of Scriptural Reasoning

No abstract provided.

Research Highlights, Meenu Gupta, Sunaina Shanker

Indian Journal of Research in Homoeopathy

NA

Quantifying Regional Variation Of Lipid Metabolism In The Brain, Martin D. Sorensen

Undergraduate Honors Theses

Apolipoprotein E gene (APOE) and its associated isoforms are the most significant genetic risk factors for Alzheimer’s disease (AD). The common alleles, APOE2/3/4, exhibit a protective/neutral/risk-inducing impact on sporadic AD development respectively. Our lab’s research focuses on APOE modification of the brain proteome and lipidome, with an emphasis on regional regulation and interest in assessing how APOE4 affects regulation differently between distinct regions of the brain. This thesis presents an analysis of cryosectioned brain samples harvested from young APOE knock-in mice. Using metabolic labeling with deuterated water, we measure turnover and dietary sourcing of lipids. We observe significant differences in …

Elementary Administrators’ Use Of Positive Behavioral Interventions And Supports As A School Reform Model For Discipline, Rashida Patrecé Lee

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study was that elementary administrators struggle to implement the positive behavioral interventions and supports (PBIS) framework as a school reform model for discipline at a Southern school district (SSD). Grounded in Bandura’s theory on social learning, the purpose of this qualitative study was to explore elementary administrators’ perceptions of their successes, challenges, and recommendations for using the PBIS framework as a school reform model for discipline in the SSD. For this basic qualitative design, semistructured interviews were conducted with 12 administrators that implemented the PBIS framework in their schools. Through thematic analysis using …

Likes, Leads, And Livestock, Adam Drapcho

UNH Today Archive

No abstract provided.

What Is The Contribution Of Thermal Selection To The Maintenance Of A Shell Color Cline In Littorina Saxatilis?, Ramón Vigo, Sarah L.Y. Lau, Juan Gefaell, Juan Galindo, Gray A. Williams, Manuela Truebano, Emilio Rolán-Alvarez

School of Biological and Marine Sciences

The study of clines, or geographical variations of a given trait, can help understand how the interactions of genetics and local environments determine phenotypic diversity. The marine snail Littorina saxatilis (Olivi, 1792) exhibits a gradual change in the relative frequencies of shell color morphs across populations in the estuary system of the Rias Baixas (Galicia, NW Iberian Peninsula). A consistent pattern of distribution occurs across these four Rias, with the interior, sheltered regions dominated by a light fawn-like morph (fulva), and the exterior, wave-exposed locations by a darker lineated morph (lineata). Measurements of rock surface temperature along one of the …

The Bg News March 25, 2026, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. March 25, 2026. Volume 105-Issue 22.

In Vitro And In Silico Evaluation Of Calcined Chicken Eggshell Powder As An Antibacterial Agent Against Staphylococcus Aureus, Hadi Kurniawan, Hariyanto Ih, Fajar Nugraha, Siti Nani Nurbaeti, Inarah Fajriaty, Ardi Kurniawan, Ridho Maulana Difa

Makara Journal of Science

Staphylococcus aureus is a major Gram-positive pathogen that is increasingly resistant to antibiotics, significantly contributing to antimicrobial resistance (AMR)-related deaths. Therefore, this study aimed to examine the antibacterial activity of calcined chicken eggshell powder (CCEP), a waste-derived material rich in calcium compounds. CCEP was prepared by calcining eggshell powder at 900 °C for 3 hours. Its antibacterial potential was evaluated using in vitro assays, including agar disc diffusion and broth microdilution, as well as in silico molecular docking against penicillin-binding protein 4 (PBP4, PDB ID: 3HUM). The in vitro results showed that a 20% (w/v) CCEP solution in glycerol produced …

Leveraging Feature Fusion And Convolutional Neural Networks For Concrete Crack Prediction, Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

Baghdad Science Journal

Detection of cracks in concrete is crucial for the safety of bridges and the overall infrastructure. This paper presents a new hybrid method that combines handcrafted and deep features to significantly improve classification accuracy. Texture and semantic information are captured using Local Binary Patterns (LBP) and a pre-trained Xception model, respectively. These features are converted by the Bag of Visual Words (BoVW) method, combined, and the best features are selected by using the Apriori algorithm. The selected features are classified utilizing the light MobileNetV3, a large network. Our method is tested on four public datasets, namely CODEBRIM, DIMEC, Crack, BCD, …

Using The Karush-Kuhn-Tucher Optimization Method On A Finite Fuzzy Markov Chain, Marwan S. Jameel, Zeiad Yahya Ali Allawee, Rana Z Al-Kawaz, Sura J Hussein

Baghdad Science Journal

It is highly interesting to explore the implications of Markov chain stability because its importance in engineering, dynamic systems, energy subject and decision-making issues. This paper deals with a method to assess the stability of Markov chains, finishing our notes in finite fuzzy Markov chains. The optimization of KKT was evaluated in two approaches: a. For one thing, optimized KKT methods substitute the random transition probability with a fuzzy value in the transition matrix. The problem illustrates the efficacy of method in proving the unique properties for power bounds of a 3 × 3 matrix depending where on this it …

Predictive Reliability Assessment And Profit Optimization Of An Ice Cream Plant Using An Artificial Neural Network Technique, Akash Tewatia, Surbhi Gupta, Manju Kashyap, Archana Chauhan

Baghdad Science Journal

This study presents a reliability analysis of an ice cream manufacturing facility based on operational failure data. The research develops a ten-component system model that captures plant dynamics and organizes it into three subsystems to reduce computational complexity. The study derives key reliability parameters and constructs a state transition diagram to represent system behavior across multiple operating states. The analysis applies an Artificial Neural Network (ANN) to address the limitations of conventional analytical methods in modeling complex nonlinear systems. The ANN provides strong predictive performance and manages uncertainty within the operational environment. The proposed framework estimates system reliability with high …

New Statistical Distribution Smart1, Saad Naji Al-Azzawi, Mahmood A. Shamran, Aseel H. Ali

Baghdad Science Journal

This paper introduces a new nonclassical statistical distribution, SMART1, derived from a nonpolynomial function. This function is used in ecology to model population growth rates, in medicine to classify the relationship between activity and tumor volume in cancer, and in economics to analyze the relationship between supply and demand. The proposed distribution differs from the Gompertz distribution, which is fundamentally based on the exponential function. By contrast, the SMART1 distribution is constructed on principles of mathematical analysis, specifically through the identification of local maximum endpoints of the Gompertz growth function and the subsequent verification that the resulting function satisfies the …

Enhanced Botnet Detection Using A Modified Naïve Bayes Algorithm With Laplace Smoothing And Famd-Based Feature Agglomeration, Ahmed L. Alshami, Bashar M. Nema, Alaa H. Al-Hamami

Baghdad Science Journal

Botnets turned into a security problem that would put user privacy and security at risk. Progressive and flexible Machine Learning (ML) techniques are necessary for robust botnet revealing. In this study researchers presented an integration of the modified Naïve Bayes and M3L algorithms that uses Factor Analysis of Mixed Data (FAMD) for feature aggregation, and Laplace smoothing for adjustment to address the limitation of conventional Naïve Bayes classifiers for detecting botnet. The modified algorithm uses Laplace smoothing to address problems with zero-frequency data and improve the classifier's adaptability. FAMD was used to merge continuous and categorical features to improve the …

Recognition Of Arabic Derived Handwritten Letters Using A Vgg-Like Convolutional Neural Network, Mouhssine El Atillah

Baghdad Science Journal

Due to its complexity, the Arabic language and its extensions build a fertile field of research in the field of artificial intelligence in general and optical character recognition (OCR) specifically. There are several languages that use the Arabic alphabet in their manuscripts. These languages innovated new letters to pronounce sounds not found in the Arabic language. These letters are called 'Arabic-derived letters'. To enrich the Arabic language, we can use these letters to know the true pronunciation of intrusive words in the Arabic language. This article deals with the Arabic-derived letters (ADL) dataset. It is a new dataset that consists …

Dual Focus Attention Block Unet (Dfab-Unet) For Robust Skin Lesion Segmentation, Fallah H. Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Diana Sofia De Oliveira Bernardo, Luís Filipe Almeida Bernardo, Vei Siang Chan

Baghdad Science Journal

Skin cancer is the most fatal type of cancer worldwide. Prognosis is generally much better with early detection and effective treatment relies on an accurate diagnosis of skin lesions. Despite progress in deep learning, there is still a challenge to provide accurate segmentation of dermoscopic skin lesions due to image variations stemming from different illuminative input parameters, different resolutions/image sizes, image artifacts and varying skins. These differences hinder state-of-the-art models from learning pixel-precise lesion boundaries or more contextual features, consequently impairing their generalization and clinical applicability. We introduce a new architecture called Dual Focus Attention Block UNet (DFAB-UNet) with intrinsic …

K2p Channels As Key Regulators Of Cardiovascular And Pulmonary Vascular Function, Hala Y Abdelnasser, Xinchun Pi, Lavannya M Pandit, Bradley K Mcconnell

Faculty, Staff and Students Publications

Two-pore domain potassium (K2P) channels are the most recently identified family of potassium channels. They are regarded as the largest group of background “leak” channels, encoded by 15 mammalian KCNK genes, and divided into six subfamilies (TWIK, TREK, TASK, TALK, THIK, and TRESK). These channels have a role in stabilizing the resting membrane potential. Their widespread presence in the heart and vasculature supports cellular homeostasis by regulating cardiac rhythm, vascular tone, and protection against ischemic stress. The TASK, TWIK, and TREK subfamilies are the most abundantly expressed K2P channel subfamilies in the cardiovascular system, and dysregulation of specific members has …

The Evolution Of Self-Awareness In Conscious Organisms, Robert A. Dielenberg

Journal of Conscious Evolution

Self-awareness in conscious organisms remains an enduring puzzle for philosophers and neuroscientists. This paper proposes a tripartite evolutionary model tracing its emergence through three sequential types: the sensory self (primitive egocentric, valence-tagged awareness of sensory states), the bodily self (external objectification of the body as a distinct entity, evidenced by mirror self-recognition in select species), and the cognitive self (internal objectification of the mind enabling recursive self-transformation). Adopting a monist framework, the model treats consciousness as the biological substrate of delayed neural apperception (the “Delayed Present”), within which selves emerge as increasingly sophisticated models. It distinguishes non-human metacognition—implicit, online regulation—from …

Atrial Fibrillation In Athletes: Mechanisms, Management, And Future Directions, Ibrahim Alameh, Ghina Al Fout, Michael D. Ezekowitz, Mohammed Kamareddine

Department of Medicine Faculty Papers

BACKGROUND: High-volume endurance training may shift exercise from cardioprotective to arrhythmogenic, increasing the risk of atrial fibrillation (AF) in healthy athletes.

CASE SUMMARY: A 38-year-old marathon runner with a 15-year history of high-intensity endurance training presented with episodic palpitations and reduced athletic performance. Electrocardiogram showed paroxysmal AF; echocardiography revealed mild left atrial enlargement without structural heart disease. Symptoms worsened during the recovery phase after runs, suggesting vagally mediated AF. After unsuccessful flecainide therapy, he underwent pulmonary vein isolation. Twelve months later, he remained free of recurrent AF on Holter monitoring and successfully resumed endurance training following an 8-week recovery period. …

Tik Tok, Francisco Vallejo

CouRaGeouS Cuentos: A Journal of Counternarratives

No abstract provided.

The Town I Live In, Henry D. Juarez

CouRaGeouS Cuentos: A Journal of Counternarratives

No abstract provided.

Moving To The Outskirts, Jose Perez

CouRaGeouS Cuentos: A Journal of Counternarratives

No abstract provided.

Mi Pasado No Lo Vences, Jorge Rico

CouRaGeouS Cuentos: A Journal of Counternarratives

No abstract provided.

Tortillas, Miles Banda Davila

CouRaGeouS Cuentos: A Journal of Counternarratives

No abstract provided.

A Qualitative Study Of Daily Physical Activity In Community-Based Learning Settings With Recommendations For Teachers And Administrators, Dolores A. Stegelin, Katherine Evans, Jennifer Wagner

Teacher Education Journal of South Carolina

Excess weight among children is a growing concern for parents and professionals. Daily physical activity of children in early learning settings has not been well researched. However, there is increasing attention being given to this issue. The White House Task Force on Childhood Obesity submitted a report in 2011 identifying settings, programs and policies that support the prevention of obesity for young children (F as in Fat 2010 p. 68). This article describes the qualitative findings of a study of daily physical activity of 4-7 year olds in early learning settings. Recommendations are made for teachers and administrators of young …

Incorporating Environmental Education Guidelines Within The Common Core State Standards, Marni Friedman

Teacher Education Journal of South Carolina

In 2010, the Common Core State Standards provided an opportunity for states throughout the nation to prepare their students equally for the real world environment. South Carolina is one of the 46 states that voluntarily adopted the new standards and is currently in the process of implementation. The national No Child Left Inside act passed in 2011 with the hopes to integrate environmental education throughout all subjects taught in schools (Chesapeake Bay Foundation, 2012). The goal of environmental education is to increase environmental awareness and concern for the environment as well as to foster positive environmental behaviors. This paper discusses …

Full Issue: Volume 6, 2013, Christopher Burkett

Teacher Education Journal of South Carolina

This file contains the full issue of TEJSC, including front matter, table of contents, editorial notes, and articles.

2023 Tennessee Census Of Fatal Occupational Injuries, The Survey Of Occupational Injuries And Illnesses, Tennessee. Department Of Labor & Workforce Development.

Occupational Injuries

No abstract provided.

2022 Tennessee Census Of Fatal Occupational Injuries, The Survey Of Occupational Injuries And Illnesses, Tennessee. Department Of Labor & Workforce Development.

Occupational Injuries

No abstract provided.

Statistical Abstract Fiscal Year 2025, Tennessee. Department Of Correction.

Annual Statistical Abstract

No abstract provided.