Digital Commons Network^™

Neuromodulation In Olfactory Networks: Inferring Circuit Motifs And Predicting Behavioral Outcomes From Neural Response Changes, Yelyzaveta Bessonova

McKelvey School of Engineering Graduate Student Theses & Dissertations

Many organisms rely on olfaction to navigate their environment in response to surrounding chemical cues. Within the olfactory system, first, external signals are transduced into neural activity patterns that drive a diverse array of behavioral responses. However, sensory processing alone does not fully account for this variability. Fluctuations in neuromodulator levels are equally critical in shaping how olfactory information is encoded and translated into behavior. The goal of this dissertation is to investigate how changes in the neurochemistry within the olfactory circuit influence neural signaling and, ultimately, behavioral responses. To achieve this, I investigated how three neuromodulators: serotonin, dopamine, and …

Construction Project Performance Research: A Bibliometric, Scientometric, And Qualitative Review (1989–2023), Abdelnaser Abdelhameed, Mohamed S. Yamany, Ahmed Abdelaty, Emad Elbeltagi

Faculty Publications

Despite the significant increase in publications on construction project performance (CPP), there is a deficiency of research that rigorously assesses and synthesizes previous studies to delineate the field’s development, themes, and research gaps. This article employs quantitative and qualitative methodologies to critically evaluate studies on CPP published over the last three decades and indexed in the Scopus database. The quantitative approach includes bibliometric searches and scientometric analyses to assess the extent of research interest and achievements. The qualitative methodology aims to conduct thorough content analysis to classify existing material based on prevalent themes. The results demonstrate an exponential growth of …

Biologically-Inspired Multiscale Neuromorphic Architecture, Christian O'Reilly, Ramtin Zand

Publications

This white paper proposes a biologically-inspired multiscale neuromorphic architecture that bridges key gaps between artificial neural networks (ANNs), spiking neural networks (SNNs), and biological neural networks (BNNs). While SNNs offer promising energy efficiency, their broader adoption remains limited by suboptimal performance and the need for novel learning paradigms. To address these challenges, the proposed framework integrates structural and functional principles observed in the brain, including hierarchical organization, sparse and modular connectivity, predictive coding, and diverse neuronal dynamics.

The architecture operates across micro-, meso-, and macro-scales, incorporating neuron-level diversity (e.g., excitatory/inhibitory and principal/support cells), canonical microcircuits (CMCs), and large-scale hierarchical organization. …

After A Wildfire: Considerations For Building Environmental Testing, Andrew J. Whelton, E. Bollens, C. Ferrarezzi

Resilience to Emergencies and Disasters

No abstract provided.

Hold Paramount The Health, Safety, And Welfare Of The Public And The Planet, Daniel B. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Afit By The Numbers, Fy25, Air Force Institute Of Technology

AFIT Documents

AFIT’s mission is to educate defense professionals to innovatively accomplish the deterrence and warfighting missions of the USAF and USSF. AFIT’s vision of leading defense-focused education, research and consultation to accelerate military superiority across all domains is accomplished through operationally relevant advanced academic education, research, and professional continuing education.

Coe Annual Technical Review 2025, Jianshun Zhang, Bing Dong

SyracuseCoE

No abstract provided.

Characterization Of Sediment Loads And Size Distribution In Nebraska Roadway Runoff, Bruce I. Dvorak, David M. Admiraal, Pavel Shrestha

Nebraska Department of Transportation: Research Reports

The Nebraska Department of Transportation (NDOT) must manage sediment, and pollutant loads from roadway runoff to meet stormwater regulations. The SAFL Baffle, a hydrodynamic separator used by NDOT, depends on reliable estimates of total suspended solids (TSS) and particle size distribution (PSD). However, limited data exists for Nebraska roadways. In this study stormwater runoff was monitored at four NDOT-maintained sites, two in Lincoln and two in Beatrice, over 1.5 years to characterize TSS and PSD and to evaluate SAFL Baffle performance using the SHSAM model. Results showed large variability across sites and seasons. Median TSS ranged from 158 to 580 …

Thermodynamic Analysis Of Metal Segregation In Two Metal Boride-Carbide Ceramics Containing V With Cr, Hf, Ti, Or Zr, Ana C. Feltrin, Simon Divilov, Gregory E. Hilmas, Stefano Curtarolo, William G. Fahrenholtz

Materials Science and Engineering Faculty Research & Creative Works

Dual-phase carbide-boride ceramics in different vanadium-Me (Me = Cr, Hf, Ti, and Zr) binary systems were synthesized by boro/carbothermal reduction under stoichiometric and carbon-deficient conditions and densified by spark plasma sintering. Thermodynamic analysis was used to evaluate the influence of composition on the phase stability and metal segregation between phases, along with the resulting effects on microstructure and hardness. Pairing vanadium with Group IV elements (Hf, Ti, and Zr) consistently formed one boride and one carbide phase, while the Cr-V system formed a monoboride phase and a carbon-deficient carbide. Metal segregation trends depended on composition. Vanadium preferentially segregated to the …

Efficiency Evaluation Of Different Methods For Nitrogen Removal In Municipal Wastewater Treatment Plants: An Integrative Review, Cristiane G. Ferrarezzi, Juliana Canto Duarte

The School of Sustainability Engineering and Environmental Engineering (SEE) Graduate Student Publications

Domestic wastewaters present high nitrogen levels due to the urea and ammonia, which are excreted into urine. Municipal wastewater treatment plants (WWTP) normally face some challenges in keeping their treated wastewater at a low total nitrogen concentration, since the majority of their wastewater is domestic. Low nitrogen levels in the treated wastewater are important to avoid increasing eutrophication of the receptor body, which receives the treated wastewater. This work presents an integrative review considering studies related to denitrification in domestic WWTPs published from January 1st, 2018, to April 30th, 2023. This review aims to identify the most effective methods for …

Utilization Of Plastic Waste In The Concrete Industry, Nancy Abdelmoneim Sakr

Theses and Dissertations

Plastic recycling has emerged as a crucial strategy that aligns with environmental, social and economic sustainability indicators. Currently, substantial volumes of plastic waste are either deposited in landfills or incinerated, neglecting the potential to harness its embodied energy and the energy consumed for producing virgin materials. A key advantage of plastic lies in its promising mechanical properties. Concrete mix design is fundamental to a wide range of construction applications, including brick walls, reinforced concrete slabs and concrete pavements. Despite the adoption of recycled plastic in construction materials in various countries, its widespread implementation remains limited. This is primarily due to …

Mining Waste As A Resource In Construction: Applications, Benefits, And Challenges, Chathurika Dassanayake, Nuha S. Mashaan, Daniel Oguntayo

Research outputs 2022 to 2026

Mining activities generate vast quantities of waste each year, including mine tailings, bauxite residue, waste rock, and various metallurgical slags. Although these materials have traditionally been regarded as environmental liabilities, many possess physical and chemical properties that make them promising candidates for use in construction. This review synthesizes recent research on the utilization of major mining waste streams, with particular emphasis on pavement applications and other construction materials. The findings indicate that bauxite residue exhibits both pozzolanic and filler characteristics, demonstrating potential in asphalt mastics, asphalt mixtures, and other construction products. Nonetheless, its widespread adoption is constrained by issues such …

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Resilience By Design: A Multi-Metric Assessment Of Urban Vulnerability Across Human-Centric, Built, And Climatic Environment Dimensions, Karim Abdelhady

Theses and Dissertations

Urban resilience and sustainability have emerged as fundamental imperatives in contemporary urban planning, as cities face mounting pressures from climate change, population growth, and increasing socio-economic disparities. Resilient urban systems are not only those that withstand shocks, but also those that ensure the long-term well-being, equity, and functionality of their environments. As such, advancing the capacity to systematically evaluate resilience across spatial and temporal scales is critical to informing adaptive, forward-looking planning strategies. Despite a growing body of research on urban resilience, prevailing approaches remain limited in scope and resolution. Many studies tend to examine resilience through isolated lenses—focusing either …

Multifunctional Green Wall Systems For Greywater Treatment And Hygrothermal Regulation In Egypt, Laila Ossama Mohamed Elhusseiny Abdelsalam

Theses and Dissertations

Increasing environmental concerns regarding climate change and the intensifying challenge of water scarcity in Egypt necessitate the development of innovative, sustainable, and resource-efficient strategies for wastewater reuse. In the built environment, greywater constitutes a significant, relatively low-contaminant wastewater stream that, if treated to comply with Egyptian Codes and relevant international standards, can be safely reused for non-potable applications such as irrigation, landscaping, and building services. This research investigates the efficacy of an integrated green wall panel system, installed on building façades, for decentralized greywater treatment under Egypt’s climatic and environmental conditions, while simultaneously enhancing hygrothermal performance to reduce building energy …

Mechanical Characterization And Modeling Of Rat Myocardia Under The Influence Of Epirubicin, Abdallah Mahmoud Alkhaiyat

Theses and Dissertations

Cancer remains a predominant health challenge that is responsible for a significant portion of global morbidity and mortality. Epirubicin (EPI), a chemotherapeutic anti-cancer drug, has shown remarkable efficacy in combating various malignancies. However, it is known to have undesirable side effects on the heart, collectively referred to as cardiotoxicity. This research investigates the adverse effects of chemotherapy on cardiac contractility through an in vitro examination of the mechanics of healthy and infarcted animal heart tissues. Electrically stimulated slices of rat ventricular tissue were tested using an isometric force measurement tissue bath. The tissue slices were subjected to uniaxial stretching, allowing …

Cognivault: Enabling Privacy-Aware Cognitive Distortion Detection In Intelligent Mental Health Applications, Mariam Dawoud

Theses and Dissertations

Mental health applications are increasingly leveraging intelligent systems to sup- port psychological well-being, yet preserving user privacy remains a major concern. This thesis presents CogniVault, a secure ecosystem for cognitive distortion data. The framework includes Cognify, a mobile journaling application that detects cog- nitive distortions in user-written journal entries using a locally deployed machine learning model. Cognitive distortions are maladaptive thought patterns such as catastrophizing or personalization, which the app identifies to provide therapeu- tic insights. To ensure privacy-preserving data analytics, CogniVault includes the design and implementation of a hybrid security architecture, PRISM-HDI, that combines Paillier Homomorphic Encryption (HE), Differential …

Harnessing Ml And Iiot For Traceability In Continuous Production Systems: A Conceptual Framework, Kholoud M. Abdelaal

Theses and Dissertations

In the era of rapid technological advancement, the manufacturing sector faces increasing pressure to leverage emerging technologies to enhance operational efficiency and minimize waste. In this context, traceability plays a pivotal role, as it provides complete visibility of processes and products throughout manufacturing systems, enabling them to identify areas for improvement and take corrective actions accordingly. Additionally, traceability ensures compliance, supports product recalls, provides a clear understanding of the system’s performance, and enables fact-driven decision-making in multiple aspects of the manufacturing system. Although the broad spectrum of traceability applications in batch production-based plants, traceability remains challenging to achieve in continuous …

Irrigation Efficiency In Green Wall Systems Utilizing Iot: Developing And Testing A Method To Optimize Water Use For Green Walls, Yomna Zaghloul

Theses and Dissertations

This study investigates the application of an Internet of Things (IoT)-based automated irrigation system for green walls in Cairo, Egypt, assessing its impact on water conservation, energy consumption, and plant health across a three-month experimental period. The research compared a sensor-controlled drip irrigation system utilizing the ESP8266 microcontroller and real-time environmental monitoring against conventional timer-based irrigation methods. Water usage data revealed that the IoT system consistently achieved substantial savings—averaging nearly 60% less water consumption than the control group—without compromising overall plant vitality. Energy efficiency was also improved, with automated cycles reducing pump operating time by more than 50%. Plant growth …

A Virtual-Reality-Based Dental Simulator For Endodontics With Automated Formative Feedback, Yousef Salah Abo El Ela

Theses and Dissertations

Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much …

Copper Metal Organic Framework-Based Nanomaterial For Non-Enzymatic Glucose Electrochemical Sensor, Sameha Mohamed Sadek

Theses and Dissertations

This thesis examines the development of non-enzymatic glucose sensors by engineering advanced electrode materials based on metal-organic frameworks (MOFs). Conventional enzymatic glucose sensors, although widely used, suffer from inherent limitations, including poor long-term stability, narrow operating conditions, and sensitivity to environmental factors, due to their reliance on biological enzymes. Non-enzymatic sensors offer a more robust alternative by enabling direct electrochemical oxidation of glucose on engineered electrode surfaces. MOFs represent a highly tunable class of hybrid materials with structural and chemical features that are ideal for sensor applications, including a high surface area, tailored porosity, and excellent thermal and chemical stability. …

Ai-Driven Stratified Modeling For Early Liver Disease Detection: A Comparative Study Of Ensemble And Conventional Machine Learning Classifiers, Ghadeer Murtadha Ali, Ali Aqeel Hadi, Mustafa Abdulkareem Abbas, Abdullah Alkarar Mohammad, Ahmed Fadhil Abdulhussein

AUIQ Technical Engineering Science

Background: Early prediction of liver disease remains challenging in routine clinical diagnostics due to the multifactorial nature of hepatic dysfunction and the limited discriminative capacity of conventional laboratory-only assessments.

Objective: This study aims to develop and rigorously evaluate a robust machine learning framework for binary liver disease classification, emphasizing predictive stability, diagnostic balance (sensitivity–specificity), and statistical reproducibility across repeated experiments.

Methodology: A structured dataset of 1,700 records with 11 features representing demographic, behavioral, genetic, and clinical determinants was used to train and compare five supervised models: CatBoost, AdaBoost, Random Forest, Support Vector Machine (SVM), and Decision Tree. Performance was assessed …

Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen

Human-Machine Communication

The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …

The Effect Of The Socioeconomic Variety In Greater Cairo On Transport Mode Choices, Rafik Yanni

Theses and Dissertations

In the last decade, Egypt has experienced a noticeable upgrade in its infrastructure investment, implementing a lot of transport projects, especially in the Greater Cairo region. In a city with over 20 million residents, variations lie in socioeconomic elements like income, age, gender, and neighborhood, which shape people’s choice of mobility modes based on their culture and lifestyle. The questions then become: whom are these new projects targeting? What are the barriers to using these services? And is there any willingness to change commuting habits if conditions changed? This thesis investigates how the socioeconomic variety in Greater Cairo metropolitan region …

Conserved Chromatin Programs Orchestrate Cardiac Cell States In Health And Disease And Drive Cardiomyocyte Proliferation After Injury, Xiaoxiao Geng

ETDs from 2020-2029

Chromatin structure is a central regulator of gene expression and cellular identity, yet the chromatin structural factors driving cardiac disease and regeneration remain incompletely defined. This dissertation investigates how modulation of chromatin architecture shapes pathological and regenerative cardiac phenotypes through integrated single-cell transcriptomic, epigenomic, and functional analyses. To determine whether chromatin structural regulators distinguish healthy from diseased cardiac states, we curated a comprehensive list of chromatin structural genes and applied it to single-nuclei RNA sequencing datasets from human hearts with and without dilated cardiomyopathy (DCM). Chromatin structural gene expression effectively stratified cardiomyocyte and fibroblast populations by disease status. Diseased cardiomyocytes …

Retrofitting Higher Education Buildings In Egypt: A Pathway Towards A Zero-Energy Campus, Maged G. Nassim Mikhael, Hagar Samy Saad

HBRC Journal

Egypt’s higher education sector expanded rapidly over the last decade, resulting in increased energy consumption, negative environmental impacts, and economic challenges. Existing academic buildings present promising opportunities for energy savings through retrofitting; however, a validated pathway for achieving Zero-Energy Buildings ZEBs in Egypt remains underdeveloped. This study aims to develop a practical scenario and a replicable retrofitting pathway based on a multi-tiered approach that includes passive envelope enhancements, active system optimization, and the integration of renewable energy RE systems. Using the Canadian International College CIC campus as a case study, the research adapted the building energy simulation BES methodology to …

Enhancing Sustainable Cooling Solutions: Investigating Spot Radiant Cooling Systems Performance And Influence On Indoor Comfort In Hot Climates, Norhane Eldeeb, Ahmed Ahmed Fikry, Abbas Mohamed Elzafarany, Ehab El Shazly, Hinar Abo El-Maged

HBRC Journal

In hot climates, demand for effective sustainable cooling strategies to maintain comfort is high. Nevertheless, conventional radiant cooling systems are often hindered by condensation risks and complex control requirements in partially occupied spaces. To address these challenges, at top inlet conditions of approximately 26°C and 50% Relative Humidity) RH (, three-dimensional CFD simulations validated against the 1.405 kW reference case of Shin et al. were performed to quantify the effect of installation height and panel geometry on spot radiant cooling performance. Lowering the flat CRCP from 2.6 m to 2.2 m reduced volume averaged air temperature (T_a) …

Amino Acid Pet Tracers For Cancer Imaging And Response Assessment, Ugur Akca

ETDs from 2020-2029

Triple-negative breast cancer (TNBC) and high-grade glioma (HGG) pose significant diagnostic and therapeutic challenges due to their aggressive biology and the limitations of [¹⁸F]FDG PET, which suffers from nonspecific uptake in inflammatory tissues, complicating differentiation of viable tumor from treatment-related effects. Computed Tomography, while strong for structural changes, has limited soft tissue contrast for distinguishing tumor from inflammation, and Magnetic Resonance Imaging, despite superior soft tissue resolution, struggles with differentiating active tumor from post-treatment changes like edema or necrosis due to nonspecific enhancement. These challenges highlight the necessity for complementary and advanced imaging strategies for improved diagnosis and monitoring. This …

Bidirectional Effects Of Transcutaneous Auricular Vagus Nerve Stimulation On Insomnia And Brain Health In Breast Cancer, Melissa Van Trang Do

ETDs from 2020-2029

Breast cancer remains the most frequently diagnosed cancer among women worldwide, with over 2.3 million new cases annually. While advances in treatment have improved survival, many women continue to suffer from persistent insomnia, fatigue, anxiety, depression, and cognitive dysfunction that collectively impair quality of life and recovery. These interrelated symptoms share common biological underpinnings, including autonomic dysregulation, vagal withdrawal, and chronic inflammation. Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive, bioelectronic therapy that modulates afferent vagal pathways via auricular branches of the vagus and trigeminal nerves. By engaging central autonomic and neuroimmune circuits, including the nucleus tractus solitarius and …

Clinical Decision Support Using Medical Imaging Artificial Intelligence, Yun-Chi Lin

ETDs from 2020-2029

Medical imaging plays a central role in modern clinical decision-making, yet its effective integration with artificial intelligence (AI) remains challenged by real-world clinical constraints. This dissertation investigates how medical imaging-based AI frameworks can be strategically designed to support clinical decision-making for two distinct but clinically critical scenarios: acute pandemic care and chronic neurodegenerative disease management. In acute pandemic settings, such as the COVID-19 crisis, healthcare systems face an urgent need for rapid risk stratification under conditions of data scarcity and operational stress including surges in patient volume and limited medical resources. This work explores strategies for developing deep learning models …