Digital Commons Network^™

Daily Eastern News: March 25, 2026, Eastern Illinois University

Daily Eastern News: 2025-2026

No abstract provided.

The Lumberjack, March 25, 2026

Cal Poly Humboldt's Student Newspaper

The student newspaper of Humboldt State University.

Research Highlights, Meenu Gupta, Sunaina Shanker

Indian Journal of Research in Homoeopathy

NA

Supplemental Data For Gulf Coast Walleye Edna Survey, Kevin W. Jones

Research Data

This file contains the full eDNA collection and amplification dataset for:

Jones, K.W. (2026). Development and application of an eDNA protocol for the detection of Gulf Coast Walleye (Sander vitreus) in Mississippi [Thesis submitted for publication]. Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University.

A Grounded Theory Study Of Parent Social Support For Peer-Victimized Children, Madeline Glawe

Dissertations (1934 -)

Peer-victimization/bullying (PVB) is a common adverse childhood experience associated with significant psychosocial consequences including mental health concerns (e.g., internalizing problems, anxiety, depression), behavioral problems, and poorer academic outcomes. Although existing research has established that parental social support serves as a protective factor for victimized children, little research has explored how parents provide support over time, how their internal experiences shape their provision of support, and how parents make decisions about the support they are delivering. This dissertation used Constructivist Grounded Theory to explore the process through which parents provided social support to children experiencing PVB. Semi-structured interviews were conducted with …

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.

Is Precision Agriculture Technology Adoption Persistently Overestimated?, Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐Deboer, Bruce Erickson, Jay Akridge

Department of Agricultural Economics Faculty Publications

Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships eventually provided. Using 21 waves of the CropLife-Purdue Precision Agriculture Dealership Survey from 2000 to 2025, we examine expected and realized precision agriculture offerings across 26 technologies. We document systematic and persistent overestimation of adoption: for most technologies, expected diffusion exceeds realized outcomes, with forecast errors becoming especially pronounced as adoption flattened or declined in …

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. …

An Analysis And Performer's Guide Of Boulder Canyon, Hoover Dam By Clark Hubbard, Tyler Hawk

LSU Doctoral Dissertations

Clark Hubbard is currently the Assistant Director of the Vanderbilt Marching and Athletic Bands. He is active as an American percussionist, composer, artist, and educator. His compositions have been performed throughout the United States and overseas, including solo, chamber, percussion, and electronic compositions. This document aims to analyze Boulder Canyon, Hoover Dam, discussing how the fixed media influences musical decisions. This document is also a performer’s guide for the piece.

Percussion with fixed media has been composed for since the early to middle 1900s. Inspiration from the techniques and early pieces of fixed media composition can be found in …

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 …

Likes, Leads, And Livestock, Adam Drapcho

UNH Today Archive

No abstract provided.

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 …

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.

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 …

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 …

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 …

Conics Through Inequivalent 5-Arcs In Pg(2, 32), Zainab Abbas Khalaf, Emad Bakr Al-Zangana

Baghdad Science Journal

A k-arcs is usually defined to be a set of k points in the projective plane such that some lines meets K in two points. A conic is an irreducible plane quadric curve with six terms. The first aim of the paper is to find the projectively inequivalent 5-arcs and 6-arcs in the finite projective plane over the Galois field of order two, and find the subgroups of PGL( 3,32 ) that are fixing these arcs. The second aim is to determine the conics form that passes through these 5-arcs and 6-arcs, and then parameterized. As an application to our …

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 …

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, …

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 …

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 …

What Does Next-Generation Mass Spectrometry Offer For Proteomics? A Comprehensive Platform Comparison, Filipa Blasco Tavares Pereira Lopes, Daniela Schlatzer, Tara Sudhadevi, Anantha Harijith, Marzieh Ayati, Mehmet Koyutürk, Mark R. Chance

Computer Science Faculty Publications

Next-generation mass spectrometry platforms (Orbitrap Astral, timsTOF Ultra) are reshaping proteomics by enhancing analytical depth and sensitivity. We compared these platforms against Orbitrap Exploris 480 using neonatal mouse lung tissues from a bronchopulmonary dysplasia model (n = 12), employing four acquisition strategies: Exploris 480 DDA/DIA, Astral HR-DIA, and timsTOF Ultra DIA-PASEF. All platforms identified ∼4000 proteins in common, with 98% proteome coverage of data-dependent acquisition (DDA) identifications using data-independent (DIA) methods and 92% concordance between next-generation systems. Orbitrap Astral and timsTOF Ultra quantified >225,000 peptides and 13,000 proteins, representing ∼800% and ∼300% greater depth than Exploris 480 DDA, respectively. …

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 …

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.