Digital Commons Network^™

Rebuilding The Foundation: A Discussion On Affirmative Action And Its Role In Improving Our Education System, Jacinda Thermidor

Journal of Civil Rights and Economic Development

(Excerpt)

For a long time, affirmative action policies have been fixated on race and gender. Justifiably so, since both define historically marginalized groups that still need explicit federal protections to ensure that people in these groups move through economic and educational spaces effectively and safely. Legislators have attempted to meet this need for protection by explicitly naming race and gender as protected classes in anti-discrimination laws. However, legislators have overlooked a factor that not only is the underlying issue behind inequities in education but can help achieve the goals that Supreme Court Justices and legislators had in mind—this factor is …

Should I Supersede Or Should I Go: Individual Protection And Private Company Interests In Implementing A Federal Biometric Privacy Law, Jessica Oshanani

Journal of Civil Rights and Economic Development

(Excerpt)

Section I of this Note will define and discuss biometrics. Section II will discuss key biometrics legislation and Section III will explain the impact of BIPA on other state biometric privacy laws.

Next, Section IV will explain the impact of biometric privacy violations and separate controlling state laws on individuals, while Section V will explain the impact of biometric data laws on private companies.

Section VI will identify potential federal laws on the horizon, then Section VII will explain the concept and application of preemption.

Finally, Section VIII will discuss the benefits of administrative agency overview, and Section IX …

The Cruelty Is The Point: How The Extreme Psychological Effects And Punitive Ineffectiveness Of Solitary Confinement Culminate In An Unconstitutionally Disproportionate Punishment, Zachary Bosak

Journal of Civil Rights and Economic Development

(Excerpt)

This Note will propose that solitary confinement can be wholly abolished under the Eighth Amendment to the Constitution. This Amendment provides in full that “[e]xcessive bail shall not be required, nor excessive fines imposed, nor cruel and unusual punishments inflicted.” When taken in a broad, isolated sense, the meaning of and purpose behind this Amendment are straightforward and uncontroversial; the founders meant to protect Americans from “methods of punishment” considered unreasonably severe and inhumane. However, when one attempts to place this Amendment within the context of a legal issue, its clarity erodes, and questions arise as to its applicability. …

Officers Of Administration And Faculty

Journal of Civil Rights and Economic Development

No abstract provided.

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1988

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1988

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1989

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1989

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1987

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1987

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1986

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1986

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1985-1986

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1985-1986

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1976-1981

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1976-1981

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1972-1974

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1972-1974

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook, 1974-1976

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1974-1976

Texas Bluebonnet Chapter, Daughters Of The American Revolution Scrapbook Cover, 1968-1972

Lucretia Council Cochran and Texas Bluebonnet Chapters, Daughters of the American Revolution Scrapbooks

Scrapbook created by the Texas Bluebonnet Chapter of Daughters of the American Revolution containing materials from 1968-1972.

Caring For Our Neighbors: Public Prayer As A Pastoral Tool For Multicultural Communities, Gilbert Perez

School of Theology and Seminary Graduate Papers/Theses

Throughout 2025 and in the first few months of 2026 there has been an increased presence of immigration law enforcement in the state of Minnesota, which has extended into the central Minnesotan diocese of St. Cloud.

Information, Communication, And Content Creation Digital Skills: Task-Based Performance Tests Among Youth In Europe, Alexander Van Deursen, Ester Van Laar, Ellen J. Helsper, Luc Schneider, Veronika Kalmus, Signe Opermann, Mari-Liis Tikerperi, Margus Pedaste, Rasmus Mannerström, Katariina Salmela-Aro, Natalia Waechter, Christin Brando, Cristina Ponte, Rita Baptista, Susana Batista, Giovanna Mascheroni, Davide Cino, Jacek Pyżalski, Natalia Walter, Marie Jaron Bedrosova, Hana Machackova, Michal Muzik, Stepanka Kadera, Leen D'Haenens

Journal of Media Literacy Education Pre-Prints

Youth’s digital skills are of growing interest to scholars and policymakers. This paper reports on a performance test in which over 600 youth from six European countries tested their skills by undertaking tasks measuring information, communication, and content creation digital skills. The findings question whether youth have the skills needed to reap the benefits from online information provision and social interactions. They struggle to understand whether websites are trustworthy, to distinguish advertising from information, with online meeting and conversation etiquette, and with content creation. This applies to both girls and boys, although some gender differences were observed depending on the …

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 …