Digital Commons Network^™

Integrating Multimodal Composition Practices In A Fifth-Grade Classroom To Enhance Student Engagement And Comprehension, Erin Beal

Theses and Dissertations

This study investigated the impact of integrating multimodal composition practices on fifth-grade students' writing development. Specifically, it examined how multimodal opportunities influenced student engagement, content area understanding, and overall attitudes toward the writing process. Utilizing a mixed-methods approach, the study utilized pre- and post-surveys to assess changes in students' self-awareness and dispositions toward writing. Over the course of the research study, data was gathered through anecdotal teacher notes, direct observations, and student work samples. Working both independently and collaboratively, students synthesized content material to create and present original multimodal projects.

Transport Properties And Microstructural Development Of Co₂-Cured, Co₂-Infused, And Cold-Weather Concrete, Arlene Jane Looc

Theses and Dissertations

This research aims to advance the understanding of durability and transport behavior in emerging CO₂-cured and cold-weather concrete technologies. Limited work has examined long-term durability indicators such as permeability, resistivity, and pore connectivity in these types of concrete. To bridge this gap, the study evaluates transport properties alongside microstructural changes that govern the progression of hydration and the evolution of pore structure. This study measures transport properties, determines correlations between resistivity and fluid ingress, and analyzes the evolution of pore structure. To achieve this, the experimental program evaluated three concrete mixtures for external CO₂ exposure, nine for dry ice infusion, …

Leveraging Oxaziridines In Transition Metal Catalysis And As Reactive Intermediates, Jenna Marie Doran

Theses and Dissertations

Oxaziridines are versatile three-membered nitrogen–oxygen heterocycles that can function both as reactive intermediates and as components of transition-metal catalysts, enabling selective and diverse organic transformations. This work explores the dual role of oxaziridines in facilitating alkene functionalization and amide synthesis. We discovered that vanadooxaziridines catalyze intermolecular allylic amination with high regio- and chemoselectivity, providing a mild route to allylic amines, whereas molybdooxaziridine complexes display an unexpected preference for vinyl sulfonation, revealing a divergent pathway from the typical nitrogen-transfer reactions and offering access to synthetically valuable sulfur-containing motifs. In parallel, oxaziridine intermediates derived from imines mediate efficient formation of amides from …

Perceptions Of Civilian Faculty In Professional Military Education Regarding Graduate Students’ Development Of Writing Skills, Katherine Zimmerle

Walden Dissertations and Doctoral Studies

The problem that was investigated through this study was the gap in literature about civilian faculty’s perceptions of the writing skills needed and how best to support student success in graduate-level professional military education (PME) university programs. Grounded in schema theory and transfer theory, the purpose of this basic qualitative study was to investigate the perceptions of PME civilian faculty regarding the writing skills needed and recommendations thereof to strengthen the writing skill support in PME university programs. Data were collected through semistructured interviews with eight PME civilian faculty members with at least 3 years of experience. Qualitative content analysis …

Mental Health Self-Perceptions And Resource Utilization In Undergraduate Students At Binghamton University, Nicole J. Dreznin, Sarah Marcus

Binghamton University Undergraduate Journal

Undergraduate students face increasing rates of mental health challenges, however discrepancies in mental health literacy and utilization of resources may exist across student populations. This study examined the perceptions of mental health in undergraduate students at Binghamton University and if they differed among STEM vs non-STEM, man vs. women, and first-generation vs. continuing generation undergraduate students. A 20-question survey, containing 5 demographic questions and 15 mental health related questions was distributed through Qualtrics to 9 undergraduate classes. The available response choices were based on the Likert scale. A total of 1266 students participated.  Chi square tests of independence were done …

Analytic Solutions To Oceanographic Kinematic Property Equations, James Turbett

Theses and Dissertations

With the recent advent of large submesoscale drifter deployments, interpreting the timeseries of kinematic properties (KP) - divergence, vorticity, shear, and normal strain rates observed therein is a pressing issue. The evolution equations for the four KP are derived from the two-dimensional momentum conservation equations. The resulting equations, a nonlinear coupled system of ordinary differential equations, capture the submesoscale motion of drifters along fixed ocean surfaces, with time and space scales on the order of days and kilometers. This thesis builds theory around KP timeseries behavior by solving for the analytic solutions in the particular cases that one KP is …

The Exergy Of Materials With Application To Socio-Economic Metabolisms And Industrial Ecology, Matthew Kuperus Heun, Erin Schuman, Sofie Schumerth, Tânia Sousa

University Faculty Publications and Creative Works

2026 International Society for Industrial Ecology Socio-Economic Metabolism (ISIE-SEM) Conference Cabridge University, Cambridge, England

Open Neighbourhood Edge Degree And Metric Descriptors Qspr And Multi Criteria Analysis Of Chemicals And Antiviral Drugs, Gayathri A Ms

Theses and Dissertations

Chemical Graph theory offers powerful computational methods for evaluating chemical structures, significantly impacting cheminformatics and drug analysis. It provides a robust mathematical framework to represent, model, and analyse molecular systems through topological indices and graph invariants. These indices serve as effective numerical descriptors, encapsulating significant structural information that enhances the prediction of physicochemical and biological properties. This thesis utilizes mathematical modeling, algorithmic computation, and decision making process to derive extensive insights to drug discovery and molecular analysis.

The thesis introduces a new class of topological indices ONE1, ONE2, ONE3, ONE4, ONE5,ONE6 and ONE7 based on open-neighbourhood-edge-degree and it evaluates the …

Factors Influencing Student Satisfaction With Blended Learning In Pedagogical Skills Training In Vietnam, Pham Thi Binh, Vu Thi Mai Huong, Nguyen Thi Bich, Kieu Phuong Thuy

Higher Learning Research Communications

This study investigates the structural determinants of student satisfaction with blended learning (BL) within pedagogical professional development modules at a Vietnamese university of education. Utilizing a partial least squares structural equation modeling (PLS-SEM) approach, with a large sample of 1,121 pre-service teachers, the research evaluates the relative influence of five key factors: instructional quality, learner agency and professional awareness, technological infrastructure, course content, and institutional support services. Results indicate a high overall level of student satisfaction. The structural model explains 63% of the variance in satisfaction (R2 = 0.63), with instructional quality identified as the most significant determinant, …

Cooperative Evolution For Discovering Scalable Spiking Neural Network Architectures, Catherine C. Rodriquez

LSU Master's Theses

SNNs are a foundational model in neuromorphic computing, where efficient architectures must be discovered for a wide range of applications. Evolutionary methods, such as EONS, offer a flexible approach to this search but become increasingly difficult to scale as task complexity grows due to the rapidly expanding combined topology–parameter search space and associated memory demands. To address this challenge, we propose a co-evolutionary ensemble framework in which a population of candidate SNNs is evolved with fitness defined by each network’s marginal contribution to group performance. Grounded in cooperative game theory and difference evaluation functions from multiagent systems, this formulation provides …

Emotionally Coherent Procedural World Generation: Environmental Psychology As A Generative Framework For Automated 3d World Construction, Michael D. Conduit

Defensive Publications Series

This disclosure describes a method and system for procedurally generating three-dimensional virtual environments whose spatial composition, asset placement, and atmospheric properties are driven by parameters derived from empirical environmental psychology research. The core innovation is the use of multi-dimensional emotional profile vectors — parameterised from validated human perception studies including prospect-refuge theory, vastness-awe research, and spatial density psychology — as the primary control surface for an automated world generation pipeline.

Unlike prior approaches that use aesthetic heuristics, noise-based randomness, or manual artist direction, the system described here encodes psychological research findings directly as generative constraints. The result is environments in …

Persistent Driver Signatures For Software-Defined Vehicles, Sean C. Keys, Karsten Knese

Defensive Publications Series

This disclosure describes a system that enables software-defined vehicles (SDVs), smart cars, or connected autonomous vehicles to adjust their advanced driver assistance systems (ADAS) based on a persistent driver signature. The driver signature acts as a portable digital identity or user profile representing a driver’s unique physiological and behavioral tendencies, such as typical steering and braking patterns. Instead of storing raw data like video files, the system relies on a cloud database to store a secure mathematical model (a vector or tensor) that represents these individual habits. At the beginning of each trip, the SDV identifies the driver using a …

Vibro-Seismic Approach For Remediation Of Near-Wellbore Damage, Mounira Ahmed Abdallah

Theses and Dissertations

The research highlights the importance of vibro-seismic technology in the oil and gas industry. The primary objective of this study is to demonstrate how the vibro-seismic method enhances formation properties which are porosity, and permeability. Ultimately, this will lead to improved productivity and its application to remove the wellbore damage.

The research discusses whether or not the formation properties will be enhanced by the optimized acoustic vibration formation parameters. The thesis details laboratory experiments on core plugs, and four key findings are presented. The experimental work first showed that the use of the proper and optimum parameters enhanced the porosity …

Dynlp: Parallel Dynamic Batch Update For Label Propagation In Graph-Based Semi-Supervised Learning, S. M. Shovan, Arindam Khanda, S. M. Ferdous, Sajal K. Das, Mahantesh Halappanavar

Computer Science Faculty Research & Creative Works

Semi-supervised learning aims to infer class labels using only a small fraction of labeled data. In graph-based semi-supervised learning, this is typically achieved through label propagation to predict labels of unlabeled nodes. However, in real-world applications, new data often arrives in batches, and stale data often becomes irrelevant. Each time a new batch appears, reapplying the traditional label propagation algorithm to recompute all labels is redundant, computationally intensive, and inefficient. To address the absence of an efficient label propagation update method, we propose DynLP, a novel GPU-centric Dynamic Batched Parallel Label Propagation algorithm that performs only the necessary updates, propagating …

Narrative Technique In William Faulkner’S As I Lay Dying, Samir El Azhar

SOROUD: The journal of Literacy Criticism

This article focuses on narrative technique in William Faulkner’s As I Lay Dying. The events are seen through the eyes of fifteen narrators and the novel consists of fifty-nine sections, each contains feelings, observations and thoughts of a character. In the face of such a complex situation, critics propose several readings, ranging from a traditional view to a more modern perspective. The aim of this paper is to represent the two conflicting views, in an attempt to find an appropriate method suitable to deal with the complex narrative structure of the novel.

Real-Time Image Denoising And Reconstruction Using Generative Adversarial Networks (Gans), Roa'a M. Al_Airaji, Haider Th. Salim Alrikabi, Rula Kamil, Svyd Iryna

Karbala International Journal of Modern Science

This paper presents a real-time image denoising and reconstruction system based on a compact Generative Adversarial Network (GAN) designed for embedded systems and edge computing. The proposed model employs a [ generator and a PatchGAN discriminator, trained using hybrid loss function that combines L1, perceptual, and adversarial terms to balance pixel and perceptual realism. Evaluations were conducted on multiple datasets, including DIV2K, BSD68, SIDD, DND, RENOIR, and PolyU at noise levels (σ = 15, 25, 50). Quantitatively, the proposed model achieves an average PSNR of 32.8 dB and an SSIM of 0.88, which is higher by more than 3 dB …

The Double Attraction Paradox, Rem Jaen D. Krafft

Publications and Research

The Double Attraction Paradox is a podcast series that teaches adolescents how to navigate attraction through body language, limerence, and mirroring while understanding the psychology behind emotional connection. It is a manuscript that combines personal experience, observations, and research, inspired by Rem Jaen D. Krafft's high school crush. Not only does it provide a guide for teenagers and young adults, but it also encourages readers to better understand attraction, communication, and emotional development. The final chapter examines how peer pressure, traditional high school cliques, fear of rejection, and fear of intimacy may influence societal norms, emotional contagion, and relationship formation …

Synergistic Effects Of Arbuscular Mycorrhizal Fungi And Foliar Nitrogen–Phosphorus Application On Maize Productivity Under Irrigated And Rainfed Conditions, Mst. Lailatul Ferdows, Saima Biswas, Mizanur Rahman, F. M.Jamil Uddin, Md. Nayan, Aporna Tabassum Api, Mohaiminul Islam, Nadia Islam, Swapan Kumar Paul, Md. Harun Rashid

School of Earth, Environmental, & Marine Sciences Faculty Publications

A field experiment was conducted at the Agronomy Field Laboratory of Bangladesh Agricultural University to evaluate the effects of arbuscular mycorrhizal fungi (AMF) inoculation and foliar supplementation of nitrogen (N) and phosphorus (P) on the performance of maize (Zea mays L.) under irrigated and rainfed conditions. The experiment followed a randomised complete block design with two levels of AMF (inoculated and non-inoculated) and four foliar treatments (no N and P, N only, P only, and combined N + P). The recommended dose of fertiliser (RDF) was applied as a soil application to all treatments. AMF inoculation significantly increased grain yield …

Mapping And Diagnosing Local Climate Zones For Urban Heat Assessment And Planning In Tropical Cities, Inuwa Sani Sani, Adi Wibowo

Journal of Environmental Science and Sustainable Development

Rapid urbanization and rising heat risk are intensifying thermal stress and environmental degradation in tropical cities. This study applies the Local Climate Zone (LCZ) framework to examine how urban morphology influences land surface temperature (LST) and to support evidence-based urban planning and climate adaptation in Makassar, Indonesia. We hypothesized that compact built LCZs (1–3) exhibit significantly higher LST than vegetated LCZs (A–G). Landsat 8 OLI and MODIS LST datasets (2013–2023) were processed in Google Earth Engine to evaluate decade-long urban development and thermal dynamics. LCZs were classified using a Random Forest (RF) model trained with approximately 100 manually digitized polygons …

Gender-Based Analysis Of Critical Thinking Skills Through The Problem-Based Learning Model Assisted By Instagram Greenpeaceid, Nabila Nirwasita Chairunnisa, Sumarmi Sumarmi, Tuti Mutia, Ilham Adenan Hidayatullah

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Environmental degradation requires students to possess critical thinking skills. However, the prevalence of conventional teaching methods is considered ineffective in honing these skills. Furthermore, gender differences that influence students’ learning styles are often not adequately accommodated. This study aims to conduct a comparative analysis of the impact of the Problem-Based Learning model assisted by the Instagram account Greenpeaceid on students’ critical thinking skills based on gender. The present study employs a quasi-experimental method using a posttest-only control group design implemented as a 2×2 treatment-by-level design. Data were collected via written tests and analyzed using a Two-Way ANOVA. The results of …

Influence Of Peristalsis On The Hemodynamic Analysis Of Magnetohydrodynamic Jeffrey Fluid In A Two-Layered Narrow Channel, N. Lavanya, G. Ravi Kiran, M. Varun Kumar, K. Rajyalakshmi

Mansoura Engineering Journal

In this paper, an analytical study of MHD-influenced hemodynamic of Jeffrey fluid during peristaltic transport in a two layered narrow channel is presented, a phenomenon that has substantial ramifications for microcirculatory dynamics in the cardiovascular system. The model assumes a Jeffery fluid in the core area to encapsulate microstructural phenomena, including viscosity fluctuations, whereas the periphery area is treated as a Newtonian fluid. The governing equations for both regions are simplified and analytically solved under the long wavelength approximation. Using MATHEMATICA, a numerical investigation is carried out to examine the influence of various parameters, such as the magnetic parameters, amplitude, …

A Hybrid Densenet121-Inceptionv3 Model For Multi-Output Race And Gender Classification, Maiwan Bahjat Abdulrazzaq, Mayyadah Ramiz Mahmood, Sardar Hasen Ali, Azar Abid Salih

Iraqi Journal for Computer Science and Mathematics

This research proposes and validates a novel Hybrid DenseNet121-InceptionV3 architecture for robust multi-output demographic classification from facial images, with a focus on optimizing both time efficiency and parameter utilization. The model was trained on a curated subset of the UTKFace dataset comprising 4,000 images, balanced across four racial groups with equal gender distribution. Our hybrid approach processes images through parallel feature extractors, strategically combining DenseNet121's parameter-efficient feature reuse with InceptionV3's multi-scale analysis capabilities. This architectural synergy achieves superior performance while maintaining computational efficiency. Through rigorous 3-fold cross-validation, the hybrid model demonstrated significant advantages in accuracy and training time, achieving 98.35% …

Case-Based Method Encyclopedia Of Maros Pangkep Geopark Through A Community Approach In Biraeng Village, Badrizal Al Hazar, Eva Nurrahmi Lukman, Muhammad Ikhsan Iccang, Nur Faizah Alim, Hervina Hervina

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The 21 st-century geography learning requires the use of contextual learning resources that are based on local potential to support deep learning. However, the availability of learning media that integrates geoparks and community knowledge is still limited. Therefore, this research and development aims to produce a community-based encyclopedia using the case-based method. It aims to determine the feasibility and effectiveness of the encyclopedia as a source of geography learning. The learning media was developed by using the Research and Development (R&D) method with the ADDIE model, which includes the stages of analysis, design, development, and implementation. The encyclopedia was developed …

Coupled-Pendulum Modeling In An Ode Class: An Assignment On Fourier-Initialized Gradient Descent In Machine Learning, Huy Truong, Andrew Bennett

CODEE Journal

As data-driven methods are increasingly used in science and engineering, students benefit from learning to integrate machine learning techniques with traditional mathematical modeling. We present a hands-on extra-credit assignment for an undergraduate ordinary differential equations (ODE) course that enables students to compare classical analytical methods with data-driven approaches on the same physical system. Using a coupled-pendulum system---two pendulums connected by a spring---with real experimental data acquired via video tracking of a real physical setup, students work through three models in a guided Jupyter notebook with all code provided. First, they fit a neural network with Fourier features as a purely …

How Leadership Can Support Inquiry-Based Learning In Myp Mathematics, Paul A. Thompson

Graduate Teacher Education

This literature review examined the research question: “How can instructional leadership prepare IB MYP Mathematics teachers to implement inquiry-based learning (IBL) effectively?” The review defined IBL within the International Baccalaureate Middle Years Program (IB MYP), then explored how inquiry in the MYP was designed to promote better student outcomes in conceptual understandings, interdisciplinary learning, and real-life connections. The role of the MYP Coordinator (MYP), the pedagogical leader of this program, is central to answering the questions that focus on leadership. The literature also examined the benefits and barriers of implementing inquiry-based mathematics instruction. The findings suggested that effective IBL improves …

Muscular Capacities Of Arms And Legs And Biokinematic Variables In The Preparatory Phase And Their Relationship To Basketball Shooting Accuracy, Intisar Kadhim Abdul Kareem, Zubaidah Salah Hadi

Modern Sport

As basketball has evolved and the intensity of competition has increased, it has become essential to explore the determinants of shooting accuracy by using scientifically rigorous methodology that is consistent with the demands of the athletic event and its central role in determining the result of matches. The aim of the research was to identify the muscular capacities of the arms and legs and selected biokinematic variables in the preparatory phase of actual performance among the research sample, as well as the accuracy of set shooting and layup shooting in basketball. The descriptive method was employed on a purposively selected …

Energy Efficiency Limits And Future Electricity Demand Of Computing Devices, Ricardo Pinto, Tiago Domingos, Paul E. Brockway, Matthew Kuperus Heun, Tânia Sousa

University Faculty Publications and Creative Works

• ICT (information and communication technologies) represented 4% of the world electricity consumption in 2020; 
• Computing devices represented 2% of the world electricity consumption in 2020; 
• In recent scenarios datacentre electricity demand reaches 3% of world electricity in 2030, and more than 4% in 2035

Ai-Resistant And Ai-Resilient Assessment In Higher Education: A Systematic Review Of Validity-Grounded Strategies, Institutional Frameworks, And Equity Implications, Asrat Genet Amnie

Publications and Research

The emergence of large language models has precipitated a fun damental disruption to higher education assessment. Conventional instruments are susceptible to AI-assisted completion, threatening construct validity across disciplines and institutional contexts. When submitted work reflects AI capability rather than student competency, the inferential chain from performance to qualifica tion is invalidated – a problem of design rather than detection. This systematic review makes two contributions. First, it theorises and grounds the distinction between AI-resistant assessment, which seeks to prevent or impede AI access through containment, and AI-resilient assessment, which assesses genuine human cogni tive performance of intrinsic educational value regardless …

Development Of An Optimal Composition Of A Composite Solvent For Asphalt–Resin–Paraffin Deposits, Gulmira Abduvaliyevna Tadjiyeva, Xasan Irgashevich Kadirov, Shaxnoza Abduvaliyevna Tadjiyeva, Fazliddin Zokir Ugli Murodullayev, Bekmurodjon Baxtiyorjon Ugli Raximjonov

Technical science and innovation

A solvent formulation composed of aromatic hydrocarbons of the C9 fraction and aliphatic alcohols in a 1:1 ratio, supplemented with 1–3 wt.% of a nonionic surfactant, has been developed. The proposed composition demonstrates more than a twofold increase in dissolving and washing efficiency toward paraffin-type asphaltene–resin deposits. Furthermore, the solvent system exhibits pronounced depressant–dispersant properties with respect to paraffin-containing organic deposits. Although numerous investigations have addressed the development of technologies for removing organic deposits in oilfield equipment—primarily focusing on specific aspects of eliminating or preventing asphaltene–resin–paraffin deposits (ARPD) in wells—limited attention has been given to the design of integrated approaches. …

Techedu.Uz: A Web-Based Virtual Laboratory Platform For Studying Induction Heating Processes., Abror Obidovich Pulatov, Murat Fikhratovich Shamiyev, Kutbiddin Asliddin Ugli Boboniyozov

Technical science and innovation

The challenges of integrating high-voltage induction furnace equipment into university laboratory settings were examined, including prohibitive equipment costs, limited student capacity, and serious safety risks. A conceptual design was proposed for a web-based platform called TechEdu.uz, which integrates both a Remote Laboratory module and a Virtual Laboratory module for induction furnace study within a single interface. The Remote module was designed to enable users to start, control, and monitor a real induction crucible furnace via a web interface, with live video surveillance and sensor devices intended to provide real-time measurements of temperature, power, and current values. The Virtual module was …