Digital Commons Network^™

Histomorphological Changes In Human Septal Cartilage Stored In Different Preservation Solutions ​, Özlem Akkoca, Aki̇f Si̇nan Bi̇lgen, Harun Çoban, Fatma Aslan Yay, Zeynep Kaptan, Funda Balkiliç Akkaya, Rahmi̇ Kiliç, Sami̇ Engi̇n Muz

Turkish Journal of Medical Sciences

Background/aim: To assess the histopathological effects of three preservation solutions (70% ethanol, povidone-iodine, and ciprofloxacin) on human septal cartilage obtained during septoplasty and to compare their preservation characteristics for potential future graft applications. Optimal preservation of septal cartilage is clinically important because well-preserved grafts may reduce the need for secondary cartilage harvesting and the associated donor-site morbidity while facilitating reconstructive procedures during revision surgery.

Materials and methods: A total of 90 septal cartilage specimens obtained from 30 patients undergoing septoplasty were allocated to three preservation groups and stored in the designated preservation solutions at +4 °C. Samples were examined histologically …

Genetic Diversity And Population Structure Of Carob Germplasm From Lebanon, Morocco, And Spain Reveal Potential For Innovative Breeding Programs, Mohamad Ali El Chami, Guillermo Palacios-Rodriguez, Rafael Maria Navarro-Cerrillo, Lamis Chalak, Maria Dolores-Rey

Turkish Journal of Agriculture and Forestry

The carob tree (Ceratonia siliqua L.) is a drought-tolerant species native to the Mediterranean Basin. It has been cultivated for centuries for its highly nutritious, edible pods. Genetic diversity is one of the key requirements for the effective management and utilization of plant genetic resources. In this study, we evaluated the genetic diversity and population structure of 169 seminatural carob individuals from Lebanon, Spain, and Morocco using nine expressed sequence tag-simple sequence repeat (EST-SSR) markers. A total of eight polymorphic EST-SSR loci produced 43 alleles, with Cesi_187 and Cesi_1187 identified as the most informative markers. Results of AMOVA and SAMOVA …

Genetic Algorithm For Agricultural Logistics Optimization: Solving The Capacitated Vehicle Routing Problem In Rural Distribution, Min Song, Kan Lu

Turkish Journal of Agriculture and Forestry

With the rapid advancement of agricultural modernization and the increasing demand for agricultural products, inefficient logistics distribution has become a major bottleneck in rural supply chains. This study addresses the capacitated vehicle routing problem (CVRP) in agricultural logistics. A genetic algorithm (GA)-based optimization model was proposed to enhance distribution efficiency. The model integrates critical agricultural characteristics, including multidistribution center networks, seasonal delivery schedules, and regional road infrastructure constraints, to minimize both transportation distance and operational costs. Experimental results show that the GA outperforms traditional metaheuristic methods (e.g., particle swarm optimization and simulated annealing), achieving a >5 km reduction in total …

Protecting America’S Critical Infrastructure: A Shared Responsibility In An Era Of Escalating Cyber Threats, Alan Saquella

Publications

The recent cyberattacks targeting municipal water facilities across multiple U.S. states serve as another reminder that America’s critical infrastructure remains under constant attack. According to the FBI, Environmental Protection Agency (EPA), and the Cybersecurity and Infrastructure Security Agency (CISA), attackers successfully compromised operational technology (OT) devices, including programmable logic controllers (PLCs), by exploiting Internet-connected systems, changing administrator credentials, and disrupting normal operations. Fortunately, local operators responded quickly by isolating affected systems, restoring backups, and preventing what could have become a significant public health crisis.

While these incidents focused on water treatment facilities, they represent a much larger national security issue. …

Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance, Ava T. Wilkey, Ryan J. Thibaudeau, Stephen A. Whitmore

Mechanical and Aerospace Engineering Student Publications and Presentations

Acrylonitrile butadiene styrene (ABS) has emerged as a widely adopted solid fuel for hybrid rocket propulsion due to its compatibility with fused deposition modeling and favorable regression characteristics. As a terpolymer, however, ABS monomer mass fractions vary across commercial sources, introducing thermochemical variability that is rarely accounted for in propulsion modeling. This study presents a sensitivity analysis examining how compositional variability among ten commercially available ABS feedstock propagates into hybrid rocket performance predictions. Each source was characterized using bomb calorimetry and Fourier-transform infrared spectroscopy to derive source-specific constituent mass fractions and enthalpies of formation, which were supplied to NASA’s Chemical …

Dual-Polymer Concrete With Recycled Pet And Hdpe Aggregates: Mechanical And Durability Performance Assessment, Omar Abd El Mageed Hammouda

Theses and Dissertations

This study investigates the fresh, mechanical, durability, thermal, performance as well as preliminary financial aspects of dual-polymer concrete incorporating recycled polyethylene terephthalate (PET) as a partial replacement for fine aggregate and recycled high-density polyethylene (HDPE) as a partial replacement for coarse aggregate, with silica fume as a supplementary cementitious material held constant at 10% by weight of cement. The study responds to the convergence of two pressing challenges in the Egyptian context: the scale of plastic waste mismanagement, which results in widespread informal open burning and environmental contamination, and the high operational energy demand of residential buildings in Egypt's hot …

Robust Soil Moisture Content Detection Based On Data Augmentation Under Different Testing Conditions, Yang Li, Chenghao Liu, Jing Nie, Jingbin Li

Turkish Journal of Agriculture and Forestry

Accurate and cost-effective monitoring of soil moisture content is essential for the development of precision agriculture and the optimization of water resource management. While low-frequency acoustic signals are used to detect soil moisture content, models trained with controlled laboratory acoustic data often exhibit significant performance degradation with field data due to their sensitivity to environmental noise, soil heterogeneity, and structural variations. This study proposes a novel framework to enhance model robustness and generalization by integrating a WGAN-GP network data augmentation strategy into the soil moisture content workflow. This framework is designed to generate high-quality and diverse data on different soil …

Completion Outcomes And Predictive Characteristics In Mandated Inpatient Substance Use Treatment, Tina Marie Moyer

Walden Dissertations and Doctoral Studies

Treatment retention, specifically as it pertains to offenders who are mandated to receive substance use treatment rather than serve standard incarceration sentences, is receiving more scholarly attention. Although prior research indicates an association between substance use treatment and reduced criminal behavior, many studies have methodological limitations. The purpose of this quantitative non-experimental, comparative study was to compare treatment completion outcomes for mandated and non-mandated offenders and to examine individual predictors of treatment completion, thereby addressing gaps in the current research. Secondary data from adult offenders receiving treatment at an inpatient substance use rehabilitation facility were analyzed. The risk-needs-responsivity model was …

Readability Of Dermatology Patient Education Materials: A Comparative Analysis Of Turkish Dermatology Association Brochures And Texts Generated By Chatgpt And Gemini ​, Ahmet Kağan Özdemi̇r, Bengü Reyhan Botsali Özdemi̇r, Akin Aktaş

Turkish Journal of Medical Sciences

Background/aim: In modern healthcare, patient education materials (PEMs) are essential for bridging the gap between clinical knowledge and patient understanding. However, in Türkiye, where 64.6% of the adult population possesses inadequate or problematic health literacy, traditional medical brochures often exceed recommended reading levels. This study aimed to evaluate and compare the readability of Turkish dermatology PEMs prepared by the Turkish Dermatology Association (TDA) with those generated by artificial intelligence (AI) models.

Materials and methods: A total of 68 TDA PEMs were analyzed. Readability was assessed using the Ateşman Readability Index. Responses were generated by AI models to questions extracted from …

Can Hydrolyzed Silk Fibroin Derived From Bombyx Hatayensis And Ozonized Gel Modulate Inflammatory And Angiogenic Responses In A Corneal Alkali Burn Model? ​​, Şule Barman Kaki̇l, Hamdullah Suphi̇ Bayraktar, Okan Soylu, İshak Gökçek, Meryem İlkay Karagül, Zehra Demi̇ray Asoğlu

Turkish Journal of Medical Sciences

Background/aim: The therapeutic effects of hydrolyzed silk fibroin derived from Bombyx hatayensis and a commercially available ozonized gel, administered individually and in combination, were evaluated in a rat model of corneal alkali burn.

Materials and methods: A standardized corneal alkali burn was induced in the right eyes of Wistar albino rats using 1 N sodium hydroxide (NaOH). Animals were randomly assigned to six groups: negative control, positive control (PC), hydrolyzed silk fibroin (SF), ozonized gel (O), combined treatment (SF + O), and antibiotic treatment. Topical treatments were administered for 21 consecutive days. Clinical evaluation included assessments of corneal opacity, neovascularization, …

Antiobesity, Antidiabetic, And Antioxidant Activities Of Selected Rubia Species (Rubiaceae) And Lc–Ms/Ms-Based Chemical Profiling ​, Semi̇h Bulut, Ahmet Kahraman, Ayşenur Işik, Mustafa Abdullah Yilmaz

Turkish Journal of Medical Sciences

Background/aim: Rubia species (Rubiaceae) are recognized as medicinal and industrial plants exhibiting diverse biological activities. This study was conducted to evaluate the antioxidant, antidiabetic, and antiobesity potential of extracts prepared from Rubia davisiana Ehrend. (an endemic species), R. peregrina L., and R. rotundifolia Banks & Sol., which grow naturally in Türkiye.

Materials and methods: The antioxidant activity of 80% ethanol extracts prepared from the aerial parts was evaluated using 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonate) (ABTS) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assays, ferric reducing power, metal chelating capacity, and total antioxidant capacity assays. Inhibition assays for α-glucosidase and α-amylase were performed to evaluate antidiabetic activity, …

A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia

Theses

This work presents three contributions to the National General Aviation Flight Information Database (NGAFID): a maintenance-linked flight dataset forpredictivemaintenanceresearch, anaviationchartprocessingservice, and an interactive geospatial heat map for post-flight event analysis. The first contribution is a maintenance-linked flight dataset for predic- tive maintenance and prognostics research in general aviation. The dataset contains approximately 100,000 non-simulated maintenance work orders and more than a million multivariate flight recordings extracted from NGAFID. Eachflightisassociatedwithmaintenancerecordsandlabeledaspre-maintenance, day-of-maintenance, or post-maintenance. Flights are exported as one-hertz sensor time series with flight-phase annotations, while a clustering pipeline groups technician-written maintenance records into event categories. To our knowledge, thisisthelargestpubliclyavailablegeneralaviationflightdataset linked to …

The Freedom Myth: How Ski Culture's Hidden Conformity Reveals The Unconscious Power Of Brand Belonging, Isabel R. Phillips

University Honors Theses

Purpose: Ski culture sells freedom and enforces conformity. This review asks what unconscious behavioral patterns hold that contradiction in place, and how brands capitalize on it to manufacture belonging.

Design/Methodology/Approach: A narrative literature review across consumer psychology, behavioral neuroscience, sociology, and ski industry research. No primary data were collected. Four accounts of consistency-seeking are synthesized into one framework, then applied to three ski industry cases at ascending scales and tested against a comparative case from Spanish football.

Findings: Belonging is a conditioned response, and conditioning requires a stable stimulus. Consistency is therefore the precondition of belonging rather than a constraint …

Bc-Xaia: A Blockchain-Based Recruitment Framework With Explainable Ai And Smart Contract Integration, Heba Allah Adel, Sayed Abdelgaber, Wessam H. El-Behaidy

Computer Science

Ensuring transparency and security in digital recruitment systems remains a critical challenge. This study proposes BC-XAIA, a unified framework that integrates blockchain, smart contracts, explainable artificial intelligence (XAI), and agile methodology to enable consistent, secure, and traceable recruitment decision-making. Smart contracts, implemented in Solidity and deployed using the Remix Ethereum IDE, automate key processes such as identity verification, data access control, and behavior monitoring, reducing reliance on centralized intermediaries. To support intelligent decision-making, multiple machine learning models, including Random Forest, Logistic Regression, and Support Vector Machine (SVM), were trained and evaluated on a recruitment dataset, with Random Forest achieving the …

Crispr-Cas9: An Emerging And Precise Genome Editing System For Crops To Combat Food Insecurity, Muhammad Faran Tahi̇r, Muhammad Hamzah Saleem, Sidra Aslam, Emi̇ne Orhan, Hayat Topçu, Tauqeer Ahmed Qadri, Khalid Ali Khan, Muhammad Anas

Turkish Journal of Agriculture and Forestry

Genome editing has emerged as a transformative tool to improve crop productivity, resilience, and nutritional quality, helping address global food insecurity. Among gene-editing platforms, clustered regularly interspaced short palindromic repeats (CRISPR)/ Cas systems (notably CRISPR-Cas9) offer simple, efficient, and scalable methods for targeted modifications, including knockouts, base edits, and precise “search-and-replace” prime edits. In plants, recent advances such as improved base editors, optimized prime-editing platforms, and DNA-free delivery methods have expanded the scope of edits achievable while reducing off-target effects and regulatory concerns. This review summarizes CRISPR principles, highlights technical breakthroughs and crop applications that mitigate biotic and abiotic stresses, …

Topology-Aware Graph Neural Network With Spatiotemporal Encoding And Contrastive Learning For Scalable Dynamic Network Representation, Wassan S. Hayale, Rasha S. Ali, Raghda Abd Ul Rab Abd Ul Hasan, Lateef Abd Zaid Qudr, Safwan Nadwe, Nitin S. Solke, Ravi Sekhar, Pritesh Shah, Reyad Omran Essa

Mesopotamian Journal of Big Data

Recently, Dynamic Graph Neural Networks (DGNNs) have become a potent candidate to model time-changing graphs, although other solutions, including Temporal Graph Networks (TGN), Evolving Graph Convolutional Networks (EvolveGCN), and Dynamic Self-Attention Networks (DySAT), still have significant barriers to scalability, computational efficiency, and temporal embedding drift. To overcome these drawbacks, this paper presents a Topology-Aware Graph Neural Network (TAGNN) model capable of incorporating graph-topology encoding and the spatiotemporal memory mechanisms into the learning process of dynamic node representation. The proposed framework includes three key components: (i) returns global and local structural data such as graph Laplacian-based feature transformations and position encodings, …

Interprofessional Team Approach To Analyzing Food Scarcity Using Value Stream Analysis, Janet Brown

International Nursing Research Congress (INRC)

Purpose: Food insecurity is a public health concern (Pereira, 2021), and 13.5 % of households in the United States experienced food insecurity during 2023 (Rabbitt et al, 2024). Older adults (age 65+) are disproportionately affected by food insecurity, which can cause serious consequences for their health and well-being (Alyward et al., 2020). Utilization of community-based resources can reduce food insecurity (Alyward et al., 2020). Value Stream Analysis (VSA), a tool traditionally applied in manufacturing and industry, has translated to healthcare settings and significantly improved operational performance (Aloga, 2025). VSA reveals waste, overlap, and hidden capacity when applied to a process …

Documenting The Language Documentation Process In Dardosipcat, Part I, Enrique Rodríguez Sánchez, Robert Vann

DARDOSIPCAT Documentation

No abstract provided.

Documenting The Language Documentation Process In Dardosipcat, Part Ii, Diana S. Ovalle Martinez, Robert E. Vann

DARDOSIPCAT Documentation

No abstract provided.

Deciphering The Rules Of Odor-Driven Learning In The Fruit Fly Olfactory System, Cole B. Hanan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Odorant identity is encoded by patterns of activity across olfactory receptor neurons (ORNs) and their corresponding glomeruli in the antennal lobe (AL). An odorant's valence can be modified by experience, allowing animals to associate previously neutral odors with appetitive or aversive outcomes. However, some odors appear resistant to such reassignment, and the factors determining whether an odor can acquire learned valence and whether that association generalizes to chemically related odors remain poorly understood. This thesis uses Drosophila melanogaster to address this question using a fully automated proboscis extension reflex (PER) conditioning assay. Odorants are presented via a computer-controlled olfactometer, reward …

Machine Learning Applications To Physical Processes, William Charles

Arts & Sciences Graduate Student Theses and Dissertations

This thesis demonstrates how machine learning techniques can solve computationally challenging problems across diverse areas of physics, from high-energy astrophysics to condensed matter systems, accelerating traditional computation. My first contribution addresses the computational expense of Monte Carlo calculations for radiative processes in relativistic plasmas. I develop a neural network sampling method that enables fast sampling from an arbitrary probability density, and demonstrate the method on inverse Compton scattering, achieving a speedup of up to an order of magnitude beyond standard methods. My second contribution addresses the structure and radiation of neutron star magnetospheres. I use physics-informed neural networks to model …

Rethinking Education For Sustainable Development: The Role Of Blended Learning Within Skill-Based Higher Education, Nessrin Shaya, Sandra Baroudi, Serena Aoun, Rawan Abukhait

All Works

Purpose – Drawing on Social Cognitive Career Theory, this study positions blended learning not merely as a technological enhancement but as a strategic pedagogical mechanism for operationalizing sustainable development. It examines how blended learning within interdisciplinary and skill-based higher education environments cultivate employability skills that support sustainable educational practices. Design/methodology/approach – The study adopts a survey design. Where data were collected from 782 undergraduate students across five universities in UAE. Two institutions offered blended, interdisciplinary and skill-based courses, while three delivered the same courses through traditional face-to-face formats. The structural model was examined using structural equation modeling (SEM) with bootstrapping …

A Functional Ultrasound Imaging (Fusi) Pipeline For Investigating Brain-Wide Hemodynamics During Torpor-Like Hypothermia, Owen J. Culver

McKelvey School of Engineering Graduate Student Theses & Dissertations

Torpor is a regulated state of reduced metabolic demand that enables animals to conserve energy under unfavorable environmental conditions. The controlled induction of a similar state, termed synthetic torpor, has potential applications in ischemic protection, organ preservation, cancer treatment, radiation protection, and long-term spaceflight. Although neuronal populations within the preoptic hypothalamus have been shown to initiate hypothermic and hypometabolic states, the distributed cerebral hemodynamic dynamics accompanying their induction and maintenance remain poorly understood. In this thesis, we developed an accessible functional ultrasound imaging (fUSI) acquisition and analysis pipeline and applied it to investigate cerebral hemodynamics during chemogenetic activation of the …

Genetic And Mechanistic Dissection Of Missing-Self Killing By Natural Killer Cells, Jeesang Yoon

Arts & Sciences Graduate Student Theses and Dissertations

Natural killer (NK) cells eliminate transformed and infected cells through activating receptor-mediated cytotoxicity and through recognition of cells that have lost major histocompatibility complex class I (MHC-I) expression, a process termed missing-self recognition. Although missing-self recognition is a central principle of NK-cell biology, the mechanisms that execute missing-self killing remain incompletely understood. In this dissertation, we used complementary genetic and functional approaches to investigate the molecular basis of missing-self killing. We first implemented a CRISPR–Cas9 ribonucleoprotein electroporation platform for efficient genetic manipulation of primary murine NK cells, providing a versatile approach for functional studies of NK-cell biology. To identify determinants …

Effective Strategies For Implementing Artificial Intelligence To Improve Businesses’ Value Chains, Jehan Forsythe

Walden Dissertations and Doctoral Studies

Organizational leaders are increasingly adopting artificial intelligence (AI) to improve business operations; however, leaders of small and medium enterprises (SMEs) continue to face challenges associated with AI adoption. Understanding strategies for effective AI integration may facilitate AI adoption in SMEs, helping to enhance organizational value and improve competitive positioning. Grounded in Porter’s value chain framework, the purpose of this qualitative pragmatic inquiry project was to identify and explore effective strategies that U.S. SME leaders use to integrate AI into their value chain to increase organizational value and gain a competitive advantage. The participants were six U.S. SME leaders who led …

Fellowship Graduates’ Perceptions Of The Professional Competencies Developed In A Local Orthopedic Manual Physical Therapy Program In The Southern United States, Margaret Elaine Lonnemann

Walden Dissertations and Doctoral Studies

Orthopedic manual physical therapy (OMPT) fellowship programs focus on improving clinical skills and professional development in physical therapy. OMPT fellowship programs are 1–3-year postprofessional subspecialty training programs in manual physical therapy requiring prior orthopedic clinical experience. The problem that was addressed in this study is that professional competencies are not adequately assessed after program completion of an OMPT fellowship in the Southern United States. Grounded in Dreyfus’s skill acquisition model, the purpose of this basic qualitative study was to explore OMPT fellowship graduates’ perceptions of the professional competencies developed and recommendations for assessing these competencies in future graduates. Data were …

Postsecondary Experiences And Impact On Career Choices And Employment Status For Cisgender Women With Autism, Maureen Bell

Walden Dissertations and Doctoral Studies

Cisgender women with autism remain underrepresented in research on postsecondary education and career development despite experiencing distinct barriers within these systems. This qualitative study examined how cisgender women with autism perceived the impact of their postsecondary education experiences on career choices and employment navigation. Guided by the social model of disability and intersectionality theory, nine postsecondary participants formally diagnosed with autism and who self-identified as cisgender completed semistructured interviews exploring their educational and employment experiences. Thematic analysis identified seven interconnected themes. Findings indicated that academic success often masked significant internal distress, suggesting that performance did not reflect accessible environments. Participants …

Advancing Beyond An Entry-Level Job, Paul Hill, Osei Vega-Sandoval

All Current Publications

Entry-level positions are a gateway into the workforce, yet advancing beyond an early-career role is necessary to broaden one’s professional experience and earn a higher salary. Whether following the traditional path of moving up within an organization or developing extensive expertise, there are a variety of career paths and concepts to consider. This fact sheet provides strategies and insights for advancing to higher-level positions within organizations.

Effect Of Rangeland Quality On Rumen Development Of Angora (Mohair) Goat Kids And Bucks, Betül Zehra Sariçi̇çek

Turkish Journal of Veterinary & Animal Sciences

This study was conducted to determine the effect of rangeland quality on the rumen development of Angora goat kids and bucks. Twenty male singleton Angora goat kids with similar birth dates and birth weights were selected from each farm in an area with three different rangeland quality levels (good, medium, or poor) in Ankara Province. The kids were weaned at 60 days of age and then grazed completely on rangeland until slaughter. Rumen volumetric and papillary development of animals slaughtered at 4 and 7 months of age were determined. Empty rumen length, width, and weight were affected by rangeland quality …

Digital Markers For Passive Remote Monitoring Of Bipolar Disorder: Systematic Review, Thomas P Kutcher, Isha Chakraborty, Kristin Kostick-Quenet, Akane Sano, Nidal Moukaddam, Jeffrey A Herron, Wayne K Goodman, Sameer A Sheth, Ashutosh Sabharwal, Nicole R Provenza

Duncan NRI Faculty and Staff Publications

Background: Bipolar disorder (BD) features episodic shifts among mania, hypomania, depression, mixed states, and euthymia. Timely detection of mood transitions is difficult due to infrequent clinical touchpoints. Digital health technologies, including wearables and smartphones, offer a unique opportunity to passively and continuously monitor behavior and physiology that could reflect underlying mood dynamics in real-world settings.

Objective: This study aimed to systematically review passively collected digital markers for BD mood states, characterize devices/modalities and analytic approaches, appraise risk of bias, and identify design gaps and priorities for clinical translation.

Methods: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) …