Digital Commons Network^™

2025 - Tennessee Climate Snapshot, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Association Of Serum Il-23 And Il-17 Levels With Alopecia Areata, Safa Naser Hussein, Israa A. Deep

Al-Qadisiyah Medical Journal

Background: Alopecia areata is a chronic, non-scarring autoimmune condition characterized by patchy hair loss. Materials and Methods: From December 2023 to April 2024, case-control research was carried out at Al-Diwaniya Teaching Hospital. It comprised 40 formally identified alopecia areata patients as well as 40 healthy controls who were compared for gender as well as age. Comprehensive dermatology tests as well as a thorough history-taking process were performed on the participants. According to the quantity as well as the size of the alopecic patches or the degree of hair loss, alopecia areata was divided into moderate and severe variants. Levels of …

Operating Fund Budget/ Expenditure Summary Report 2nd Quarter 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

Three Realistic Principles For Nurturing Ethical Prosocial Behavior, Thomas G. Plante Phd, Abpp

Psychology

The world is in trouble with numerous significant challenges to life and society such as climate change, divisive politics, economic disparity, war, racism and discrimination, and violence. At the core of these issues is human behavior and in particular, ethical decision making. The purpose of this reflection is to underscore three practical principles to encourage more prosocial behavior by (a) embracing the reality of egoism, (b) finding ways to merge egoism with the common good, and (c) socially engineer ethical behavior that benefits society. Considering ethical decision making and nurturing prosocial behavior in a realistic manner provides at least some …

International Engineering Education In Turbulent Times: Reflections, Strategies, And Visions In Honor Of John M. Grandin, Sigrid Berka, Mark W. Rectanus

Journal of International Engineering Education

At a time when private and public universities are facing the potential of significant cuts in federal funding for research and education, international engineering education programs need to navigate the turbulent landscape facing higher education at large and consider how they might reposition themselves within it. In this collection of essays dedicated to the memory, vision and legacy of the late Dr. John Grandin, we remind international educators that by mobilizing innovative thinking and an entrepreneurial spirit they can propel change in a seemingly deadlocked academic landscape. We have asked some of Dr. Grandin’s colleagues – who have led interdisciplinary, …

Impact Of The International Engineering Program (Iep) At The University Of Rhode Island (Uri): What’S In It For Languages And For Engineering?, Sigrid Berka

Journal of International Engineering Education

No abstract provided.

Garnering External Support For Languages In International Engineering Programs, Michael A. Nugent

Journal of International Engineering Education

No abstract provided.

Study Abroad And Languages: Leveraging Study Abroad For Engineering Education During Turbulent Times, Chad M. Gasta

Journal of International Engineering Education

No abstract provided.

Cooperative Education And Partnerships With Industry, Chris Cooper, Gayle G. Elliott

Journal of International Engineering Education

No abstract provided.

Collaborations And International Partnerships: Keys For International Education In Times Of Change, Bettina Cothran, Amy Bass Henry

Journal of International Engineering Education

No abstract provided.

International Engineering Education In Turbulent Times: Concluding Observations And Selected Publications By John M. Grandin, Sigrid Berka, Mark W. Rectanus

Journal of International Engineering Education

No abstract provided.

Semi-Supervised Learning For Annotation And Representation Of Single-Cell Rna Sequencing And Spatial Transcriptomics Data, Haoran Liu

Dissertations

Semi-supervised learning has emerged as a powerful paradigm for analyzing single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data, where full annotation is often costly or impractical. scRNA-seq technologies measure the expression of thousands of genes across tens of thousands of cells, whereas ST additionally captures the spatial coordinates of gene expression within intact tissue sections. Annotation is a key step in both scRNA-seq and ST analysis pipelines, aiming to identify cell types, spatial domains, and latent biological structures. However, most existing annotation approaches rely on separate clustering methods that are typically fully unsupervised and fail to leverage side information …

Beyond Words: A Systematic Multimodal Framework For Text, Images, And Extreme Helpfulness In Online Reviews, Alvaro J. Aguado Marin

Dissertations

Online product reviews have become increasingly multimodal, combining text with media-rich elements such as images. However, academic research has largely examined textual features in isolation, overlooking how visual content and its interaction with text shape perceived helpfulness. This dissertation addresses that gap by developing and empirically validating a comprehensive framework capturing how textual, visual, and contextual features collectively influence review evaluation. Grounded in the Elaboration Likelihood Model (ELM) and extended through the Text-Image Elaboration Likelihood Model (TI-ELM), the framework advances understanding of how consumers process content from both user- and business-generated sources. It also lays the foundation for examining emerging …

Computational Design Of Nanoporous Materials For The Adsorption Of Per- And Polyfluoroalkyl Substances, Daniel D. Mottern

Dissertations

Per- and polyfluoroalkyl substances (PFAS) are a large family of chemicals that have seen wide usage due to their fluorinated carbon backbone. The presence of strong C-F bonds in the backbone lends PFAS molecules high thermal and chemical stability, as well as strong hydrophobicity and lipophobicity. This combination of properties has led to heavy use of PFAS as surfactants, non-stick coatings, and aqueous foam forming films and flame retardants. However, these properties bring their own consequences. The high chemical and thermal stability of PFAS renders them persistent, with the C-F bonds resisting naturally occurring forms of degradation. Existing forms of …

Entropic Forces Near Fluctuating Surfaces, Rubayet Hassan

Dissertations

Nanoscale structures are inherently dynamic due to persistent thermal fluctuations. Even in solid materials, these random deformations, driven by ambient thermal energy, can become significant when their characteristic scale approaches that of the structure itself and strongly influence their overall mechanical behavior. Examples of such structures include crystalline membranes, appearing in diverse forms such as nanotubes, nanoribbons, and kirigami/origami structures. Similarly, biological nanostructures, including lipid membranes, microtubules, actin filaments, and DNA, exhibit extreme flexibility and responsiveness due to their low bending rigidity. Numerous physiological processes are intrinsically linked to these thermal fluctuations, including exocytosis and endocytosis, membrane fusion, pore formation, …

Computational Methods For Single-Cell And Multi-Omic Data Integration And Regulatory Network Inference, Jianlan Ren

Dissertations

Single-cell and multi-omic technologies have transformed the dissection of cellular heterogeneity and regulatory dynamics in health and disease. However, the high dimensionality, technical variability, and biological complexity of these datasets present significant challenges for integration, annotation, and interpretation. In this dissertation, a suite of computational approaches is introduced to address key problems in single-cell and multi-omic data analysis through model-based innovations and applied statistical frameworks.

First, a constrained deep learning framework for single-cell data integration, label transfer, and clustering is proposed. By incorporating biologically motivated constraints into the training process, robust performance is achieved across simulated and benchmark datasets spanning …

Material Degradation And Analysis Of N-Doped Graphene/Mof Nanocatalysts For Orr In Electrochemical Energy Systems, Niladri Talukder

Dissertations

The development of advanced electrochemical energy conversion and storage systems is crucial for achieving sustainable energy security. As alternatives to precious metal-based catalysts in electrochemical systems, especially for the oxygen reduction reaction (ORR), Nitrogen-doped Graphene with Metal-organic Frameworks (N-G/MOF) nanocatalysts have shown exceptional promise in recent years. This research advances the understanding of N-G/MOF nanocatalysts by systematically examining their structural features, degradation traits, correlated performance losses, and other aspects related to catalytic activities.

First, nitrogen-doped graphene (N-G) nanocatalysts were thoroughly investigated, resolving their physical properties, the influence of synthesis parameters, molecular-level material structures, and chemical and electronic structural details of …

Data-Driven Analysis And Atomistic Simulations Of Next-Generation Materials For Energy Conversion And Storage, Yuliang Shi

Dissertations

Metal-organic frameworks (MOFs), with their modular architectures and tunable properties, represent an especially rich domain for accelerated material design and discovery for a range of diverse applications. Within this class of multifunctional materials, two-dimensional (2D) electrically conductive MOFs (EC MOFs) are of particular interest, as their 7r-stacked layered structures combine permanent porosity with electronic conductivity, enabling potential breakthroughs in energy storage, energy conversion, and quantum sensing. But the discovery and design of new EC MOFs based on expensive experimental screening is increasingly impractical due to the infinite chemical space. Furthermore, the practical implementation of EC MOFs for specific tasks depends …

Effect Of Local Steel Slag Incorporation On The Mechanical Properties Of Concrete, Ahmed Safaa Tariq Karmah, Wissam Khadum Alsaraj, Luma A. Zghair

Al-Esraa University College Journal for Engineering Sciences

The increasing interest in the production of concrete through the utilization of inexpensive materials has caused a rise in the number of studies concerning the use of materials with cementitious properties, such as Silica Fume, Slag, Fly Ash and other pozzolanic materials. Moreover, the increasing amounts of Steel Slag being produced from local factories that are being deposited without an available method of disposal provides an opportunity to harness the Slag in the production of an inexpensive, and possibly better concrete. Slag has been used as both an addition and substitution of the cement and fine aggregate. The mixtures included …

Decoding Climate Change: A Comprehensive Statistical Insight Into Temperature Anomalies In Iraq And Its Neighboring Countries, Jameel T. Al-Naffakha, Mohammed R. Al-Qassabanda, Israa Jafar

Al-Esraa University College Journal for Engineering Sciences

This study applies advanced statistical techniques, including the Mann-Kendall Trend Test and ARIMA forecasting, to validate and predict temperature anomalies across Iraq and its neighboring countries (2014–2024). Findings confirm a statistically significant warming trend (p < 0.00000005) across all nations, with Syria (1.02°C) and Turkey (0.97°C) experiencing the highest anomalies. GIS-based spatial analysis highlights regional disparities, identifying climate-vulnerable zones. The persistent rise in temperature anomalies correlates with worsening water scarcity, desertification, and extreme weather events, including prolonged droughts and heatwaves. Iraq’s peak anomaly (1.48°C) has exacerbated heat stress, agricultural decline, and reduced river inflows, while Kuwait and Saudi Arabia struggle to maintain critical infrastructure under record-breaking temperatures exceeding 50°C. These climate shifts pose severe risks to water availability, food security, and energy demand, necessitating urgent policy interventions. Key recommendations include enhanced water resource management, climate-adaptive agriculture, and renewable energy expansion. If left unaddressed, rising temperatures could destabilize the region, increasing socio-economic vulnerabilities and escalating resource conflicts. This study underscores the need for cross-border collaboration and sustainable adaptation policies to mitigate the long-term impacts of climate change in the Middle East.

Optimal Power Flow Control In The Iraqi Power Grid Using Artificial Intelligence Algorithms For Carbon Emission Reduction, Mohammed Shakir Juber

Al-Esraa University College Journal for Engineering Sciences

Iraq’s power sector remains in a protracted and severe crisis characterized by a significant mismatch between supply and demand, high levels of losses during transmission and distribution, as well as an increasing challenge to the resources base being largely unfavourably. These inefficiencies impose heavy costs on the national economy in excess of 40 billion annually and they also reinforce greenhouse gas emissions, and exacerbate environmental issues. To deal with these problems, we proposed in this paper that a new hybrid AI tool should be developed for the solution of multi-objective optimization problem based on purpose Genetic Algorithm (GA) merger with …

Applying Machine Learning Techniques For Early Detection Of Cyber Attacks On Iot Devices, Noor Adnan Allamy

Al-Esraa University College Journal for Engineering Sciences

This research designs, implements, and evaluates a machine learning-based framework for the early detection of cyber attacks targeting Internet of Things (IoT) devices, with a specific focus on the context and challenges present in Iraq. The study conducts a comparative analysis of three supervised learning algorithms—Support Vector Machine (SVM), Random Forest (RF), and Deep Neural Networks (DNN)—using a combination of benchmark datasets (NSL-KDD, CIC-IDS-2017, Bot-IoT) and a synthesized dataset adapted to simulate the Iraqi threat landscape. Key performance metrics, including accuracy, precision, recall, and F1-score, were used for evaluation. The proposed Random Forest model demonstrated superior performance, achieving an accuracy …

Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot

Al-Esraa University College Journal for Engineering Sciences

This study presents a hybrid Artificial Intelligence–Computational Fluid Dynamics (AI-CFD) framework for optimizing heat transfer in magnetic bio-nanofluids subjected to external magnetic fields. Magnetic bio-nanofluids, composed of biocompatible base fluids containing superparamagnetic nanoparticles, exhibit tunable thermal and flow behavior, making them promising for biomedical and micro-cooling applications. Conventional optimization methods based on experiments or brute-force CFD are computationally expensive and limited in exploring the full design space. To overcome these challenges, an Artificial Neural Network (ANN) surrogate model was developed to predict two key performance indicators, the Nusselt number and the friction factor, with high accuracy (R² > 0.997). The surrogate …

Hybrid Experimental–Computational Study On The Energy Absorption Of Graphene Nanoplatelet-Reinforced Sandwich Structures, Hamdan Yousif Hamdan

Al-Esraa University College Journal for Engineering Sciences

Background: Sandwich composites are widely used in aerospace, automotive, and marine applications because of their lightweight, stiffness, and strength, but they remain prone to out-of-plane impacts and barely visible impact damage (BVID). Graphene Nanoplatelets (GNPs) have shown strong potential to improve fracture toughness and impact resistance. However, hybrid experimental–computational studies applying such reinforcement are still lacking in developing contexts like Iraq, where practical and accessible solutions are essential. Aims: The study investigates the effect of GNP reinforcement on the low-velocity impact behavior and energy absorption of glass fiber/epoxy sandwich panels with PVC foam and balsa wood cores. Objectives include fabricating …

Effect Of Thick Closed Walls Of West And South Elevations Of Iraqi Middle And South Territory Housing Building On Reducing Energy Use, Abeer Qasim Jbur, Shaimaa M. Hamza, Mayyadah Lutfi Abdulwahhab

Al-Esraa University College Journal for Engineering Sciences

Thermal insulation is one of the most important factors in achieving sustainability, increasing efficiency, and reducing energy consumption, but modern insulation materials are expensive, in addition to their availability. Therefore, through our research, we resorted to investigating the issue of reducing thermal load in buildings through the use of thick-walled facades in the southern and western facades, where we studied a building with two windows with windows on the southern and western facades and another without these windows and with thick walls, for two locations, the first in central Iraq, which is the city of Baghdad, and the second in …

The Impact Of Ethyl Levulinate Additive On Diesel Engine Performance And Emissions: An Experimental Study, Maha Ali Ghadbaan

Al-Esraa University College Journal for Engineering Sciences

This study explores the environmental and operational impact of adding Ethyl Levulinate—a biodegradable ester derived from biomass—to diesel fuel. A fuel blend known as B5El6 (comprising 5% biodiesel and 6% Ethyl Levulinate) was prepared and tested experimentally using a single-cylinder diesel engine operating at a constant speed of 1500 rpm under full load conditions. Performance metrics and emission data were recorded, and a Life Cycle Assessment (LCA) was conducted using the IMPACT2002+ methodology.

The results revealed that B5El6 significantly reduced greenhouse gas emissions (100 kg CO2 eq) and improved ecosystem quality. However, it presented challenges in terms of human health …

Review: Archives 101, Autumn M. Johnson

Provenance, Journal of the Society of Georgia Archivists

Review: Archives 101. By Lois Hamill (Lanham, MD: Rowman & Littlefield Publishers, 2023), 302 pp. Reviewed by Autumn M. Johnson.

Review: Photo Archives And The Place Of Photography, Alex Brinson

Provenance, Journal of the Society of Georgia Archivists

Review: Photo Archives and the Place of Photography, Routledge History of Photography. Edited by Geraldine A. Johnson and Deborah Schultz. (New York: Routledge, 2025), 228 pp. Reviewed by Alex Brinson.

The Role Of The Scenario In Formulating The Contemporary Architectural Text, Rounaq Arif Mohsin, Abbas Ali Hamza, Bashar Shamil Alkhafaji

Al-Esraa University College Journal for Engineering Sciences

In order to create an integrated architectural text, which is a complicated art that blends beauty and practical elements, a rigorous design procedure is necessary. In this situation, the scenario’s role becomes crucial in developing the current architectural text and directing architectural approaches. In order to better understand how the scenario influences the design process and the interactions between various architectural aspects, this project intends to explore and analyze the impact of the scenario in developing and refining architectural text formulation approaches.

The study looks at the idea of a scenario and how it has been used in architecture, as …

Investigation Of Some Physical Properties Of Slurry Infiltrated Fibrous Concrete (Sifcon) Under Different Curing Times, Rand Kh. Mahmoud, Mohmmed Juad Khadhim, Fayq Hasan Jabbar

Al-Esraa University College Journal for Engineering Sciences

This research studied the effects of different types fibers (Basalt, Carbon and Basalt-Carbon hybrid mix) and curing ages (7, 14, 28 and 56 days) on some physical properties of - Slurry infiltrated fibrous concrete (SIFCON). Density, ultrasonic pulse velocity UPV, Poisson’s ratio and water absorption were measured for the experimental study with 30% cement replacement by Class F fly ash to increase sustainability. It was found that properties were significantly affected by the type and dosage of fiber admixture. The UPV was enhanced by basalt fibers and the absorption reduced up to an optimal range of 3–5% after which agglomeration …