Digital Commons Network^™

Adaptive Intervention Strategies In Co-Evolving Multiplex Networks: A Reinforcement Learning Approach To Real-Time Misinformation Containment, Anjali Ashokrao Bhadre Dr., Harshvardhan Prabhakar Ghongade Dr.

Northeast Journal of Complex Systems (NEJCS)

The growing transmission of misinformation via social media creates serious challenges to public health, democracy and social cohesion. To date, methods used to contain misinformation rely upon static representations of networks and set rules for interventions. In contrast, this study presents the first Multiplex Adaptive Reinforcement Intervention Network (MARIN), a framework for real-time adaptive intervention in the context of dynamic misinformation transmission using co-evolving multiplex networks and deep reinforcement learning. Unlike past studies that have assumed static network structures, MARIN has the ability to allow for dynamic changes in network topology as a result of both misinformation transmission and intervention …

Tinyvgg-Based Real-Time Degradation Classification For Adverse Driving Scenes Using A Newly Collected Iraqi Driving Dataset, Yousif N. Abbas, Matheel E. Abdulmunim, Nada H. Ali, Ismail A. Mageed

Journal of Soft Computing and Computer Applications

Environmental conditions such as low-light at night, fog scattering, glare artifacts, rain streaks, and rain smear distortions are significant issues of camera-based perception in Autonomous Vehicles (AVs). These degradations alter the statistics of the scene, mask structure, introduce non-uniform noise, and adversely affect downstream vision processes, including detection and tracking. To overcome this shortcoming, this paper presents a lightweight TinyVGG-based degradation classification system that runs in real time. The network extracts discriminative spatial features with hierarchical convolutional encoding and projects them to a lower-dimensional semantic representation with fully connected layers and a multi-class predictor based on SoftMax. In addition, a …

Improving Approach Of Evolutionary Strategies For Clustering Technique Enhancement, Duaa Mahde Saleh, Hasanen S. Abdullah, Ahmad Zamsuri

Journal of Soft Computing and Computer Applications

The existence of the information has been the essential aspect of the whole society. Information is concentrated in all forms to be effectively utilized. Clustering — an unsupervised learning technique. It is based on data similarity that gives rise to issues in collection, challenges and instability in data structure. It proposes an advanced evolutionary method by combining two approaches. Firstly, it adopts the evolutionary approach and integrates the advantages between two methods to design one. Among them are Differential Evolution (DE) and Genetic Algorithm (GA), Evolutionary Strategy (ES) and Genetic Programming (GP), and Evolutionary Programming (EP) and Particle Swarm Optimization …

A Comprehensive Review Of 1d Deep Learning Approaches In Facial Analysis: Face Recognition, Landmark Detection, And Mesh Modeling, Duaa J. Al Hammami, Rehab F. Hassan

Journal of Soft Computing and Computer Applications

Facial Analysis has progressed rapidly with deep learning and its 2D image-based models, especially Convolutional Neural Networks (CNNs), which have been the most popular methods. In recent years, 1D deep learning models have gained traction in the search for efficient solutions for face recognition, facial landmark detection, and 3D face mesh modeling. 1D models encode the facial structure as sequences, curves, or temporal signals, resulting in high computational efficiency, a small memory footprint, and good interpretability, making them well-suited for real-time and edge devices. This review is a step-by-step, organized exploration of 1D deep learning analysis of the face, its …

Comparative Study On Throughput Optimization In Nfv: Traditional Dissemination Techniques Vs. Swarm Intelligence Approaches, Sanaa Salih Alwan, Asia Ali Salman, Wulfrano Arturo Luna Ramírez

Journal of Soft Computing and Computer Applications

Network Functions Virtualization (NFV) modernizes networks by replacing hardware with software, creating a more flexible network architecture and offering flexibility in dynamic network environments. This foundational technology is essential for creating the networks of the future, including the Internet of Things (IoT) and cellular services. NFV does provide flexibility, but it struggles to maintain system throughput during high traffic loads while achieving high resource utilization efficiency and dynamic packet routing. The problem lies in the fact that traditional request distribution mechanisms, such as flooding and gossip, fail to operate efficiently in complex network topologies (scale-free networks), leading to: (a) random …

A Comprehensive Review Of The A* Algorithm: Evolution, Applications, And Future Trends In Path Planning, Saleel H. Abood, Hussein M. H. Al-Khafaji, Mohanned M. H. Al-Khafaji

Journal of Soft Computing and Computer Applications

Despite being a fundamental problem to autonomous robotics and intelligent navigation systems, path planning is still a challenge. The A^* algorithm is often used among search-based techniques for optimal search performance, as it's a tradeoff of computation. The above techniques have been developed for various applications as many versions of A^* Dynamic A^* (D^*), D^* Lite, Hybrid A^*, and Anytime A^* are suggested to deal with dynamic environments, real-time constraints, and kinematic restrictions. This paper comprehensively and structurally reviews the A^* algorithm and its major extensions, encompassing historical development, methodological …

Skin Lesion Classification Using Cnn Model And Augmented Dataset, Mohammed Nawzad Mohammed-Ramzi, Aso M. Aladdin

Journal of Soft Computing and Computer Applications

Skin cancer is a deadly disease. Skin lesion classification is a critical challenge due to its prevalent and deadly nature. Skin lesions are difficult for dermatologists to detect using eye examination, which is time-consuming and variable. A deep learning model of skin lesions classification has been proposed using a Convolutional Neural Network (CNN) trained on the HAM10000 dataset of 10,015 dermatoscopies. To improve resilience and address the dataset's extreme class imbalance, data augmentation techniques such as geometric transformations, brightness/contrast adjustments, blurring, noise addition, histogram equalization, color space alterations, and elastic deformations are used. With a carefully balanced 10% test set, …

Beneficial Investigation Of Sustainable Recycled Waste Plastic In Treating The Consolidation Behavior Of Fine Soil, Aram Mohammed Raheem, Cumaraswamy Vipulanandan, Mohammed Hiwa Abdullrahman, Ali Tariq Omer

Journal of Sustainable Construction Materials and Technologies

Recycled waste plastic is one of the regular garbage utilized as a sustainable material in soil remediation. This study examines the efficacy of utilizing local recycled waste plastic as an ecological quantifiable along with soil containing fine particles to analyze the consolidation behavior. Various recycled waste plastic contents ranging from 2% to 10% were employed experimentally in two patterns where in the first pattern the recycled waste plastic were mixed as dry material with the fine soil particles while in the second pattern a sandwich layer of 10% of the recycled waste plastic was placed in the middle of the …

Enhanced Thermal Energy Storage In Buildings: Impregnation, Leakage, And Environmental Performance Of Organic And Inorganic Pcm Composites, Gökhan Genç, Esra Yılmaz, M. Yusuf Yazıcı

Journal of Sustainable Construction Materials and Technologies

This study experimentally investigates the impregnation and leakage performance of various organic (tobacco, sawdust, bay leaf, black cumin) and inorganic (vermiculite, perlite, bentonite, sepiolite) carrier materials used for phase change material (PCM) integration in building applications. The commercial paraffin-based PCM RT-31 was used as the thermal storage medium. Impregnation and leakage tests were conducted to evaluate the PCM absorption capacity, form stability, and energy storage potential of each carrier. The results revealed that perlite (C = 80%) and bay leaf (C = 78%) exhibited the highest impregnation capacities due to their porous and fibrous structures; however, they also demonstrated significant …

Modeling Of Tensile Stress-Strain Response For Steel Fiber Reinforced Self-Compacting Concretes, Anıl Niş, Nilufer Özyurt, Turan Özturan

Journal of Sustainable Construction Materials and Technologies

Main aim of the research was to further understand self-compacting concrete reinforced with steel fibers (SFR-SCC) behavior and to contribute modeling of the tensile stress-strain diagrams for the standardization of the fiber reinforced materials for structural utilization. Fiber reinforced materials has not been used without structural rebar because of the absence of stress-strain curve in tension required for the structural design codes. Hence, an inverse analysis (multi-layer model) was further modified for various steel fibers to predict tensile stress-strain behaviour. For this purpose, 5 different mixes; control, reinforced with long fibers with 0.5% and 1%, short fiber with 0.5% and …

Development Of Differentiated Learning Assisted By Animated Content In Speaking And Writing Learning For Second Grade Elementary School Students, Winaningsih Winaningsih, Euis Eti Rohaeti, Asep Samsudin

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Speaking and writing are basic skills that play a crucial role in supporting the academic development of elementary school students. Initial observations in one elementary school indicated that learning was still uniform, did not fully address differences in student abilities, and the use of digital media was still limited. This study aimed to analyze the development process, feasibility, and effectiveness of a differentiated learning model supported by animated content in improving the speaking and writing skills of second-grade elementary school students, as well as to identify barriers faced by teachers and students in its implementation. This study used a Research …

Influence Of Smoking On Mlh1 Gene Polymorphism: Insights Into Colorectal Cancer Incidence, Ali Mohammed Al-Abedi, Rand Muhammed Abdul-Hussein Al-Husseini

Al-Bahir

Background: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. The MutL Homolog 1 (MLH1) gene plays a critical role in DNA mismatch repair (MMR). Evidence suggests cigarette smoking increases CRC risk, potentially interacting with genetic factors.

Materials and Methods: This case-control study involved 50 Iraqi CRC patients and 50 age- and gender-matched healthy controls. The PCR-RFLP technique was employed for genotyping the -93G/A (rs1800734) polymorphism. Statistical analysis included Chi-square, Fisher's Exact Test, and logistic regression adjusted for confounders. Hardy-Weinberg Equilibrium (HWE) was assessed in controls.

Results: The frequency of the rs1800734 variant was significantly higher in CRC …

Dual-Action Antibacterial Agents Targeting Biofilm Reduction And Membrane Disruption In Staphylococcus Aureus, Rahmat Folashade Zakariyah, Waliyullahi Akorede Husain, Elohor Precious Samuel, Wonder Olanipekun Oloruntoba, Fatmah Opeyemi Saka, Khalid Ayinde Oyelami, Mariam Temitope Baker

Al-Bahir

Antimicrobial resistance in Staphylococcus aureus is a serious global health problem as the organism rapidly develops resistance against widely used antibiotics. This study sought to investigate the antibacterial and antibiofilm properties of γ-Tocopherol, a natural compound from Ocimum gratissimum, as well as its synergism with 5-hydroxymethylfurfural (5-HMF) against S. aureus. The antibacterial activities and minimum inhibitory concentrations of the compounds were determined using agar diffusion and microbroth dilution methods, respectively. Biofilm reduction was evaluated using 2,3,5-triphenyltetrazolium chloride (TTC) assay and membrane integrity was evaluated using the crystal violet microtiter plate assay and the ion leakage assay. The results …

Evaluating The Efficacy Of Green-Method-Prepared Zinc Oxide Nanoparticles On Gene Expression Of Efflux Pumps In Klebsiella Pneumoniae Bacteria Isolated From Women With Gestational Diabetes, Wissam Qadry Mutaab, Rana J. Shaker

Al-Bahir

Vaginitis is one of the most common women's health problems, and its severity increases in pregnant women with gestational diabetes due to higher susceptibility to infection and increased rates of antibiotic resistance. The research problem: The increasing prevalence of multidrug-resistant isolates of Klebsiella pneumoniae and its association with AcrAB-TolC ejaculation pumps limits treatment efficacy, while the effect of green-method nanoparticles on gene expression of these pumps remains unclear. This paper aimed to detect the acrA and acrB genes in K. pneumoniae isolates and evaluate the effect of zinc oxide nanoparticles prepared with garlic and rosemary extracts on their gene expression. …

Vsar: A Verifiable, Formally-Verified Safety Kernel For Autonomous Security Remediation, Inaki Garcia Alonso

Defensive Publications Series

Autonomous remediation agents increasingly hold credentials to change production infrastructure (DNS, email authentication, CDN and TLS configuration) in response to machine-generated findings. The dominant assurance model for such systems is auditable: actions are logged for after-the-fact human review. We argue this is insufficient when the actor is an LLM-driven agent whose proposals are untrusted text, and we present VSAR (Verifiable Safe Autonomous Remediation), a safety kernel that makes every remediation verifiable instead of merely auditable. VSAR gates each proposed change through a fixed set of eight predicates, including a target-binding predicate that ties the change to the exact asset the …

Investigating The Optical Qualities Of Aluminum Nanoparticles With Nd:Yag Pulsed Laser Ablation In Liquid Technology, Ban A. Bader, Muna Y. Slewa, Zaid T. Aldabbagh

AUIQ Technical Engineering Science

This research investigated the preparation of aluminum nanoparticles using pulsed laser ablation in liquid (PLAL). Ablation was performed on a metallic target in distilled water using a 532 nm Nd:YAG laser at different laser energies (400, 600, and 800 mJ) with a repetition frequency of 1 Hz and 300 pulses. A change in the solution's color is one of the first indicators of nanoparticle formation. We observed a change in the color of the deionized distilled water from light white to dark white, suggesting the production of aluminum nanoparticles. Furthermore, UV-VIS measurements showed an increase in the material concentration with …

Conceptual Design Proposal: The Tethered Fusion-Driven Sail With Integrated Magnetohydrodynamic And Thermodynamic Energy Harvesting, Christopher L. Eckes

Defensive Publications Series

This paper proposes a deep-space vehicle architecture utilizing a tethered, fusion-driven "puller" configuration to eliminate beam-riding instabilities inherent in traditional laser sails. The design integrates a trailing nuclear-fusion tug that pulls a curved, light-reflective sail via a rigid, boron-doped multi-walled carbon nanotube (MWCNT) structural tether. To mitigate cosmic radiation and interstellar medium (ISM) degradation at relativistic velocities, the vessel employs a Particle-Ejection Mini-Heliosphere (M2P2) shield inflated by Yttrium Barium Copper Oxide (YBCO) high-temperature superconducting coils. System efficiency is optimized via a closed-loop energy harvesting matrix consisting of: (1) a three-layer thermodynamic hull utilizing Silicon Carbide (SiC) and Bismuth Telluride (Bi₂Te₃) …

System And Method For Generating Clinical-Trial Edit-Check Rules From Protocol Text With Prompt-Injection Defense, Narendra Nath Sarkar

Defensive Publications Series

A system and method translate clinical-trial protocol text into structured electronic-data-capture (EDC) edit-check rules (each rule expressed as field / operator / value / action with a severity, an action-on-violation, a confidence score, a human-readable rationale, and a provenance reference to the originating protocol span). Untrusted protocol text is hardened against prompt injection before any model is invoked, via length capping, control-character removal, a configurable set of injection-pattern filters, and role-marker stripping. Rule generation is a hybrid of (a) a deterministic knowledge-base pattern matcher and (b) an optional large-language-model (LLM) augmentation pass; generated rules are bound to a CRF (case …

Structural Mechanisms For A Modular Proactive Ai Cloud Operating System: Hierarchical Context Resolution, Anti-Fabrication-Bounded Narration, And Human-Confirmed Multi-Step Action (Icnli), Valentin Scerbacov

Defensive Publications Series

Deploying a foundation language model into a real operational domain — hosting, healthcare, finance, government, manufacturing, logistics — exposes a class of failures that the model layer cannot, by its probabilistic nature, eliminate: fabrication of facts never retrieved, unreliable multi-step action, loss of structured memory across sessions and channels, the absence of an enforceable human-control gate, and uncontrolled exposure of private data. This disclosure describes a set of structural mechanisms that bound these failures at a layer outside the model — the orchestration kernel — rather than attempting to train them away inside the model. The disclosed mechanisms are: (1) …

Active-Sleep (Dream-Enactment) Burden As A Longitudinal Self-Tracking Signal In Movement-Disordered Sleep (Rem Sleep Behavior Disorder / Parkinson's), Measured Over A Staging-Independent In-Bed Window Across Nights And Naps, Gerard Ziemski

Defensive Publications Series

A companion disclosure (the robust overnight-HRV method) computes a robust overnight heart-rate- variability (HRV) figure over the in-bed window by deliberately treating dream-enactment movement as artifact to be absorbed, so the recovery figure stays trustworthy in movement-disordered sleep. This disclosure describes the inverse, complementary use of the same movement-independent in-bed window: quantifying the movement-active ("dream-enactment" / "restless") segments themselves as the signal, and trending their burden over time. From the same in-window stream, the method derives an active-sleep-burden figure — for example the fraction of in-window time that is movement-active, and the count, duration, and timing of active episodes — …

Nap-Level Autonomic (Heart-Rate-Variability) Tracking And A Nap-Day Recovery Comparison For Daytime Sleepiness In Parkinson's Disease, Extending A Staging-Independent In-Bed-Window Method, Gerard Ziemski

Defensive Publications Series

A companion disclosure computes a single overnight resting-autonomic figure (heart-rate variability, HRV) over the in-bed window, independent of the device's sleep/wake staging and aggregated with a robust estimator (the median), so that movement misclassification in movement-disordered sleep cannot corrupt it. Daytime sleep — naps — is discarded by mainstream consumer trackers or folded into a daily total. Yet excessive daytime sleepiness and sudden-onset daytime sleep ("sleep attacks") are a recognized part of Parkinson's disease, so naps carry information specifically relevant to that population. This disclosure extends the method to every individual sleep session, night and nap alike: each session is …

Developing A Model To Generate More Digital Data Of Indian Languages For Multilingual Applications, Arya Bagde

Master’s Dissertations

Most of India’s scheduled languages remain critically under-served by language technology because parallel (translated) text — the raw material that modern multilingual systems depend on — is extremely scarce. Back-translation can synthesise such data automatically, but its quality varies enormously, and unfiltered synthetic data can be worse than no data at all. This dissertation develops a framework that generates synthetic parallel data for four low-resource Indian languages spanning three language families and four scripts — Assamese (Indo-Aryan, Bengali script), Bodo (Tibeto-Burman, Devanagari), Manipuri (Tibeto-Burman, Bengali script) and Santali (Austroasiatic, Ol Chiki)—and introduces CASCADE, a learned multi-signal quality gate that scores …

Breaking The Ideal: Viscosity, Nonlinearity, And Transience In Wave Attractors, Stepan Elistratov, Ivan But

Turkish Journal of Physics

Wave attractors in viscous media exhibit laminar or turbulent behavior, dictated by the intensity of the external forcing. Laminar attractors are often assumed to behave as linear systems. However, existing studies typically focus on fully developed flows, neglecting the dynamic formation process of these attractors. This simplification overlooks crucial transient phenomena that govern their emergence and stability. In this paper, first, we investigate unconventional wave attractor configurations subjected to forcing with a complex spectrum, which lead to early nonlinearity demonstration. Next, we focus on the transient processes of attractor formation and destruction, providing insights into their dynamic evolution. Furthermore, we …

Kin A487: Administration & Supervision In Kinesiology, T. J. Miller

Publications

Critiques and evaluates the technical, leadership, and supervisory skills necessary to safely and effectively administer kinesiology-related programs. Presents theoretical, practical, and research perspectives. Special Note: Community engagement & Interviews will be required.

Book Review - Violent Impacts: How Power And Inequality Shape The Concussion Crisis, Samuel M. Clevenger

Global Sport Business Journal

Kathryn Henne and Matt Ventresca’s Violent Impacts critically examines how narratives surrounding CTE, TBI, and the concussion crisis are constructed across sport, the military, law, media, and science. Drawing on intersectional feminism and science and technology studies, the authors show how dominant concussion discourses privilege the experiences of White male athletes while marginalizing other groups. Based on extensive fieldwork, the book makes an important contribution by exposing representational inequalities and highlighting the intersectional gender politics of concussion research and public debate.

Extracurricular Video Game Use And Academic Achievement: A Systematic Literature Review, Christina Hartman, Theo Makanoa, Lucas Thoms, Aidan Lowry, Kaleb Chandler

English Student Research

A good deal of research exists on the relationship between student use of video games outside the classroom and academic achievement. Our systematic review aims to identify what patterns exist across research conducted in the last 20 years. We examined 62 research studies that dealt with academic achievement and extracurricular video game use and found that most studies identify a negative association between the two. However, this isn’t the case for all students. We identified three important variables (the amount of time spent playing video games, the time of day or week spent playing, and the age of the students) …

New National Publication Gives Guidance To Teachers On Ai, Clara Turnage

University of Mississippi News

OXFORD, Miss. – With artificial intelligence tools available on every phone, laptop and tablet, higher education has struggled to implement consistent recommendations for how and when AI can be used. A new national guide seeks to change that.

D-Methionine Improves Spatial Navigation And Attenuates Oxidative Stress And Amyloid Pathology In A Sex-Specific Manner., Mackenzie R Peck, Jenelle E Chapman, Tiarra Hill, Kathleen Quinn, Erol D Ikiz, Angel Lopez, Erin R Hascup, Chilman Bae, Kevin N Hascup

Articles

Background

Oxidative stress and maladaptive neuroimmune activation contribute to cognitive decline in Alzheimer's disease (AD) and represent therapeutic targets beyond amyloid-centered approaches.

Objective

To determine whether oral D-methionine (D-Met), a redox-active amino acid, reduces amyloid pathology and lipid peroxidation and confers disease-modifying benefits in AD models.

Methods

Male and female APP/PS1 and APP^NL−Fmice with advanced AD pathology received oral D-Met or vehicle. Behavioral assessments included locomotor activity and hippocampal-dependent spatial learning and memory. Amyloid burden, lipid peroxidation, peripheral metabolic, and inflammatory markers, and hippocampal microglial phenotypes were evaluated.

Results

D-Met did not alter locomotor or exploratory behavior but …

June 16, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Book Review - California And The Making Of Modern Sport, Sean Burke

Global Sport Business Journal

Joel S. Franks’s California and the Making of Modern Sport argues that California helped shape modern sport as spectacle, consumer culture, and civic branding. review highlights the strengths in linking iconic sites such as the Rose Bowl, Muscle Beach, Fresno baseball, Billie Jean King, and the 1932 Los Angeles Olympics to broader themes of commercialization, diversity, and inequality. Drawing on historical sources, Franks demonstrates how sport in California produced modern sporting culture and its contradictions.