Digital Commons Network^™

Re-Assessment Of The Urban History Of Azerbaijan From Ancient Times To The Present In The Context Of General Turkic Culture, Telman Nusretoglu Quliyev, Nurlan Pashaoglu Nasirov

Khazar Journal of Humanities and Social Sciences

While the Turks have often been depicted as a nomadic people in Western and former Soviet historiographies, recent archaeological evidence and research reveals that they were instrumental in the development of settled urban civilizations, particularly during ancient and medieval times. This is particularly evident in Azerbaijan, a region historically inhabited by Turks, where they significantly contributed to the establishment of urban centers. These cities, along with their infrastructure and architectural features, have been well-documented in Greco-Roman, Arabic, Persian, and other primary sources from the period. Azerbaijan, located at the crossroads of East-West trade routes, has a long history of urbanization, …

The Development And Psychometric Properties Of Climate Change Awareness Scale Among Higher Education Students, Şuay Nilhan Açikalin, Şefika Şule Erçeti̇n, Nihan Potas, Mehmet Sabir Çevik

Khazar Journal of Humanities and Social Sciences

Higher education has a pragmatic and educational approach to mitigating climate change and solving environmental challenges by enhancing awareness. Therefore, the study aims to develop a scale in a survey model to measure higher education students' awareness of climate change. The study group comprises higher education students enrolled at Public Universities in Ankara during the 2023-2024 academic year. For data analysis, exploratory factor analysis, confirmatory factor analysis, convergent and divergent (discriminant) validity, item analysis, and reliability analysis were employed. The scale was rigorously validated through exploratory factor analysis, confirmatory factor analysis, and other measures. As a result of the exploratory …

Prediction, Comparison And Visualization Of Premium Pricing Using Machine Learning Methods, Lal S Jan, Farzan Tashfeen, Mohid Hussain, Nadi M Alresheedi, Syed Muhammad Hassan Ahmer, Nahla M Albarkati

Yanbu Journal of Engineering and Science

This study investigates the efficacy of machine learning in forecasting and comparing health insurance premiums. The all-inclusive goal line is to improve the accuracy of premium pricing and minimize the manual labor associated with the traditional methods and present data trends in a logical manner. An open-source dataset of US medical premiums has been utilized and a systematic machine learning model in python programming language has been developed. This model took into account factors like age, bmi, smoking habits, and geographical location. The XGBoost model excels other models with an RMSE value of 0.349 and an adjusted R2 of 90.1% …

An Efficient Deepfake Detection System Using Convoreinautonet And Geofishernet, Azan Hamad Alkhorem

Yanbu Journal of Engineering and Science

This research proposes an efficient deepfake detection system using a hybrid optimization model and a new deep learning approach. This system is divided into two phases: (i) the training Phase and (ii) the detection Phase. The decision phase is the ultimate decision maker, wherein a new deep learning approach referred to as ConvoReinAutoNet(CRAN) is introduced by levering the layers of Convolutional Neural Networks (CNN), Deep Reinforcement Learning (DRL), and Autoencoders, respectively. The training phase is enriched with new feature fusion and a hybrid optimization-based optimal feature selection approach. The extracted temporal and texture features (newly introduced Improved Local Ternary Patterns …

The Perception Of Ai Impact Of Academic Processes: A Study Of Student Perspectives, Nora Murphy, Lana Perkovic, Andzelika Wyka

International Undergraduate Journal of Health Sciences

Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionise education. This research aimed to comprehensively explore students’ perspectives on the integration of AI in educational settings, focusing on understanding its role, advantages, challenges, and expectations. The study analysed responses from a sixteen-question survey created through Google Forms administered online to 196 students from diverse academic backgrounds and educational levels enrolled across two Cork third-level institutions.

The demographic distribution of the respondents showed 44.4% aged 18-20 years old, 43.9% aged 21-23 years old, and 11.7% aged 24 and above, with 67.9% female respondents and 32.1% males. …

Leveraging Weekly Snow Cover Time Series For Improved Glacier Monitoring And Modeling, Rainey Aberle, Ellyn M. Enderlin, David R. Rounce, Shad O'Neel, Brandon Tober, Alexandra Friel

Boise State University Publications and Presentations

Seasonal snow and ice melt strongly influence glacier mass balance, yet sparse sub-annual observations limit our understanding of seasonal dynamics. Here we construct and analyze weekly snow cover time series for 200 glaciers across western North America from 2013 to 2023 using an automated image processing pipeline. Snow cover varied widely across the region: snow minima timing varied with latitude — from August from 62 to 64N to October from 48 to 50N—and accumulation area ratios ranged from near-zero to 0.92 (median of 0.52). A comparison of snowlines from observations and the PyGEM glacier mass balance model revealed seasonally evolving …

Implementing A Standardized Protocol To Screen For Depression In A Gastroenterology Outpatient Clinic, Catherine M. Karle

Dissertations

Problem: There is a lack of mental health screenings for depression taking place in outpatient gastrointestinal (GI) clinics. Outpatient gastrointestinal (GI) offices are not consistently screening patients for depression despite a rise in depression rates and the known adverse impact depression can have on the GI tract.

Methods: This Quality Improvement (QI) study used a descriptive research design guided by the Johns Hopkins Nursing Evidence-Based Practice (JHNEBP) Model. Its purpose was to implement a 10-week PHQ-2/PHQ-8 depression screening protocol at a large midwestern health center's gastroenterology outpatient clinic. The study used purposive sampling, including all GI outpatients aged 18+ with …

Transportation: A Barrier To Healthcare Access Among Disabled, Older Adults With Diabetes And Hypertension In Rural Areas, Anne G. Mwangi-Amann

Dissertations

Problem: Transportation is essential for health service utilization (clinic appointments, diagnostic services, and picking up medications from the pharmacy (Hansmann & Razon, 2024). Shekelle et al. (2022) in their systematic review and meta-analysis indicated that the U.S. rural population is 60 million. Rural areas continue to experience transportation as a significant barrier to health, a key social determinant of health. It causes delayed or foregone care in approximately 3.6 million people annually, resulting in more than 25% of missed appointments. Methods: This quality improvement project utilized a descriptive and observational design. A convenience sample of Medicaid patients receiving care at …

Childhood Skeletal Lesions Common In Prehistory Are Present In Living Forager-Farmers And Predict Adult Markers Of Immune Function, Amy S. Anderson, Aaron Blackwell, M. Linda Sutherland, Thomas Kraft, James Sutherland, Bret Beheim, Daniel K. Cummings, Suhail Ghafoor, Paul L. Hooper, Daniel Eid Rodriguez, Andrei Irimia, Margaret Gatz, Wendy Mack, Chris Rowan, Michael Miyamoto, Kenneth Buetow, Caleb Finch, L. Samuel Wann, Adel Allam, Randall C. Thompson, Gregory Thomas, Hillard Kaplan, Jonathan Stieglitz, Benjamin Trumble, Michael D. Gurven

ESI Publications

Porous cranial lesions (cribra cranii and cribra orbitalia) are widely used by archaeologists as skeletal markers of poor child health. However, their use has not been validated with systematic data from contemporary populations, where there has been little evidence of these lesions or their health relevance. Using 375 in vivo computed tomography scans from a cohort-representative sample of adults aged 40+ years from the Bolivian Amazon, among food-limited, high-mortality forager-farmers, we identified cribra cranii on 46 (12.3%) and cribra orbitalia on 23 (6%). Cribra orbitalia was associated with several hallmarks of compromised immune function, including fewer B cells, fewer naïve …

Strength And Anti-Wettability Enhancement Of Double Layer Pvdf/Pmma Nanofibers Membrane By Embedding Sio2 Nanoparticles, Nawras N. Safi, Basma I. Waisi

Baghdad Science Journal

For the desalination of brine and seawater, membrane distillation (MD) is a desirable treatment method. Because of their high permeability and rejection, electrospun nanofiber membranes (ENMs) are becoming more popular in (MD) applications. Due to their unique features, superhydrophobic nanofibers have garnered much attention from scientists working to perfect high-efficiency MD membranes. In this work, a completely novel double-layer design approach for superhydrophobic membranes was proposed for water desalination using Direct Contact Membrane Distillation (DCMD). A double-layer of nonwoven nanofiber membranes was created using hydrophobic polymers via an electrospinning technique. Electrospinning created a double-layer membrane of nonwoven nanofibers utilizing hydrophobic …

Spectrophotometric Determination Of Bromhexine-Hcl By Using Prepared Silver Nanoparticles, Zainab Noori, Muna M. Khudhair

Baghdad Science Journal

In this study, a new, simple, and rapid method was developed for determining Bromhexine-HCl using silver nanoparticles. The solution of silver nanoparticles has a yellow color which has absorbency at a wavelength of 404 nm. Bromhexine was estimated through its reaction with silver nanoparticles in acidic environment at pH 5. This reaction causes the silver nanoparticles to aggregate and change the color of their colloidal solution from yellow to brown, leading to a decrease in their absorbance. The range of linearity was found to be 20-250μg mL-1, a limit of detection is equal to 18.931μg/mL and limit of quantitation is …

"...Anything My Friend Shares, I Would Want To Support Them By Clicking On It": Co-Designing Story-Based Interventions Against Clickbait For Teenagers, Ankit Shrestha, Audrey Flood, Bryson Hackler, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Teenagers' lack of digital sophistication and cyber hygiene makes them vulnerable to social engineering attacks, especially as they start using social media. Clickbait, one of such attacks, is primarily performed through social media to trick users into clicking on malicious links. With teenagers' increasing use of social media, clickbait poses a substantial threat to their online safety. The existing online safety measures for teens mainly focus on parental mediation, which can be perceived as restrictive and privacy-invasive. To this end, researchers recommended empowering teens to deal with online risks. In order to design such interventions for clickbait, we conducted co-design …

The Reactivation Of Moucharaby As Light Ornaments Through Digital Design, Noha Gamal Said, Amal Abu Daya

Mansoura Engineering Journal

Ornaments are considered essential part of architecture, contributing to the atmosphere and sense of place through its diverse visual effects. The Moucharaby is one of the traditional architectural elements that requires technical, professional, and artisanal knowledge to exist. It is closely related to light, affecting the privacy of the space and controlling the movement of the eye. Despite the disappearance of both elements: ornaments and Moucharaby from the modern architectural scene, the recent sustainability trends, parametric design, and modern technologies offer an opportunity to revive these elements. The article describes the experiential methodology of an intensive workshop that took place …

Advancing The Upper Class E Traffic Management (Etm) Concept: Results Of Nasa’S First Etm Collaborative Evaluation With Industry Partners, Deborah L. Bakowski, Connie L. Brasil, Kevin Christian Garzon Galindo, Abhinay Tiwari, Paul U. Lee, Conrad Dang-Gabriel, Jeffrey Homola, Mark Evans

Faculty Research, Scholarly, and Creative Activity

Innovative aircraft design and emerging technologies are enabling new types of uncrewed, high-altitude long endurance (HALE) vehicles, including fixed-wing HALE vehicles and stratospheric balloons to operate above 60,000 feet. However, due to a variety of factors including the diverse performance characteristics and extended mission duration of these new vehicles, the Air Traffic Management system faces challenges in meeting the needs of this high-altitude environment. To address these challenges, the Higher Airspace (HA)/Upper Class E Traffic Management (ETM) concept proposes using a scalable, cooperative approach tailored for high-altitude operations. To evaluate the feasibility of the HA/ETM concept, NASA Ames Research Center …

Fresh And Mechanical Properties Of Self-Compacting Concrete Using Kaolin Limestone Blend And Hybrid Slag Blend, Selesca Devi S

Theses and Dissertations

This study examined the consequences of mono and hybrid natural fibers on the mechanical and fresh properties of self-compacting concrete (SCC), in response to the growing demand for environmentally friendly building materials. In mono fiber, Abaca fiber (AF) at 0.25% and 0.5% dosage, basalt fiber (BF) from 0.25% to 2% at 0.25% increments, and sisal fiber (SiF) from 0.25% to 1.5% at 0.25% increments were evaluated through slump flow diameter, T500, compressive and tensile strength. AF at 0.25% ensured good flow with 6.6% and 4.16% higher compressive and tensile strength over 0.5% AF. SiF up to 1% improved strength but …

Euler’S Formula For General Graph Embeddings, Doug Bauer, Linda Lesniak, Edward Schmeichel

Faculty Research, Scholarly, and Creative Activity

Consider an embedding of a graph G(v,e) with v≥1 vertices and e≥0 edges into a closed surface s, with r resulting regions. If G is connected and every region is a 2-cell (a so-called 2-cell embedding), Euler’s formula is the relation v−e+r=χ(s), where χ(s) denotes the Euler characteristic of s. Here we give a generalization of Euler’s formula which applies to any embedding (2-cell or not) of any graph (connected or not) into any surface (orientable or not), with several interesting corollaries. One rather striking corollary is the converse of Euler’s formula itself: If an embedding of a graph G(v,e) …

Calibration Of Detectors For The Tomographic Ionized-Carbon Mapping Experiment, Tessalie A. Caze-Cortes

Theses

Observations of the intensity of the sky at millimeter (mm) wavelengths require accurate calibrations for the spectrometers to work with radio telescopes. However, calibrating is a complex and lengthy process for sensitive detectors that catch single photons. To improve efficiency in locating defective detectors and optimizing bias current, my research involves taking data from previous lab characterizations and creating an algorithm that analyzes and plots the code of all 1920 detectors. This thesis will discuss the importance of mm-wavelength intensity mapping and the questions the TIME research team aims to address. Also, a detailed description of mechanical and computational components …

Tailoring The Law: Protecting Fashion In The Future, Imaad Huda

Washington Journal of Law, Technology & Arts

This article identifies how the current legal system in the United States harms fashion designers and the art they produce. It explains how fashion as an industry lacks a system of law that best fits the issues posed by design theft due to fast fashion. Fast fashion companies, through modern technology, are able to reproduce stolen designs with haste. Currently, there are a few notable cases that have spawned from design theft, but their verdicts may be limited in their ability to change policy or raise significant legal issues. This article analyzes both current federal enforcement mechanisms and design practices …

Mode Engineering And Functional Enhancement In Piezoelectric-On-Silicon Mems Resonators With Magnetic Field Sensing Applications, Ugur Guneroglu

USF Tampa Graduate Theses and Dissertations

This dissertation significantly advances the field of micro-electro-mechanical systems (MEMS) resonators by exploring novel post-fabrication tuning techniques, electrode configuration effects, and innovative sensor applications for thin-film piezoelectric-on-silicon (TPoS) resonator devices. Driven by the increasing demand for tunable, high-precision and robust MEMS resonators in radio frequency (RF) applications such as sensing, timing, and filtering, this research aim to provide foundational knowledge and practical solutions for overcoming existing technological limitations. The dissertation is organized into three main research thrusts, each addressing critical challenges and opportunities in the design, fabrication, and application of TPoS MEMS resonators.

The first research thrust investigates an innovative …

University Of Dayton Board Of Trustees Leadership Transition, University Of Dayton

News Releases

The University of Dayton’s Board of Trustees has a new chair. Deb Tobias '73 assumed the role on July 1, succeeding Rick Omlor '79, who concluded 14 years of dedicated board service, including a three-year term as chair.

Bonding Ss316l And In625 Through Laser Powder Bed Fusion And Directed Energy Deposition: A Comparative Tensile Analysis, Christopher J. Bettencourt, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

Directed Energy Deposition (DED) was used to deposit Inconel 625 (IN625) onto 316L stainless steel (SS316L) substrates fabricated by Laser Powder Bed Fusion. Tensile properties of the resulting multi-material specimens were compared to those of the individual alloys. Two bonding approaches were evaluated: a direct transition and a 50/50 intermediate layer formed by blending equal parts of each alloy during deposition. The multi-material specimens demonstrated higher yield strength than the single alloys. However, samples with the 50/50 transition exhibited brittle failure at the joint, whereas the direct transition behaved more ductile. Scanning Electron Microscopy revealed microcracks at the interface of …

Security Analysis Of Encrypted Mempool, Prabal Das

Master’s Dissertations

With the rapid growth of Decentralized Finance (DeFi), the challenge of Maximum Extractable Value (MEV) has become increasingly significant-particularly on Ethereum. MEV allows malicious actors to manipulate transaction order within blocks, enabling exploitative strategies such as frontrunning and sandwich attacks. In response, recent research has proposed encrypted mempools, which conceal trans- action content until after ordering is finalized, thereby reducing the exploitable surface for MEV. This thesis investigates encrypted mempool, specifically the Shutter protocol, a threshold encryption-based approach designed to mitigate MEV by hiding transac- tion contents during the mempool phase. We analyze its core architecture, under- lying cryptographic mechanisms, …

Towards The Wearable Cardiorespiratory Sensors For Aerospace Applications, Chandan Sheikder

Journal of Aviation/Aerospace Education & Research

In safety-critical aviation operations, adaptive Human-Machine Interfaces (HMI) rely on accurate physiological monitoring to mitigate cognitive overload. While cardiorespiratory sensors are promising for real-time cognitive workload assessment, existing studies lack rigorous validation of consumer-grade devices in high-stress aviation contexts and fail to address measurement uncertainty propagation. This study evaluates the Zephyr BioHarness, a commercial wearable sensor, against clinical-grade equipment during arithmetic tasks simulating aviation cognitive demands. By integrating a neuro-fuzzy system with uncertainty propagation methods, we quantify the reliability of heart rate (HR) and breathing rate (BR) metrics for workload estimation. Results demonstrate moderate HR accuracy (RMSE: 4.85 bpm, CC: …

Empowering Precision Forecasting: Self-Supervised Lstm For Hourly Pressure And Temperature Prediction, Anand Shankar, Deepak K. Singh, Mantosh Kumar, Pankaj Kumar, Pradhan Parth Sarthi

Journal of Aviation/Aerospace Education & Research

The most important parts of any flight are landing and takeoff, and an aircraft's takeoff configuration must balance the regulated takeoff weight, runway length, and weather conditions to ensure a safe departure and arrival. In addition to runway length, wind, temperature, pressure, and visibility determine the total allowed takeoff weight and the economic viability of any trip. Thus, any meteorological office involved in flight planning and operation at any airport must accurately assess these factors, known as takeoff data. This research paper suggests multivariate self-supervised LSTM-based models to accurately predict the temperature and pressure (MSLP) of the takeoff data. The …

Identifying Individual Factors Which Impact Student Learning In A Desktop Flight Training Simulator, Tim Ryley, Guido Carim Junior, James Mcbroom, Elvira Marques, Chris Campbell, Nnenna Ike

Journal of Aviation/Aerospace Education & Research

With expected global growth in air transport demand and forecasted shortage of pilots, there is a need for faster and cheaper flight training. A range of protocols was used to assess factors such as student’s emotional state, adaptive performance, and situational awareness as possible predictors of flight performance based on the influence of these factors on student flight performance conducted using a Personal Computer-based Aviation Training Devices (PCATD). Factor analysis and regression models were used to identify how these factors related to student performance during a visual flight conducted using a desktop simulator and our findings demonstrated some influence of …

The State Of Uas Operations At Airports, A Perspective From Airport Managers, Damon Lercel, Sarah M. Hubbard

Journal of Aviation/Aerospace Education & Research

As the number of Uncrewed Aircraft Systems (UAS) operating in our National Airspace System (NAS) increases, so do UAS operations near or at an airport. The accelerating technology in Advanced Air Mobility (AAM) and related business opportunities will only further increase UAS operations at airports. This continued growth in new UAS technologies and applications introduces new hazards and risks to the airport environment. This proliferation of UAS highlights the importance of airports developing a robust Safety Management System (SMS) that includes specific UAS risk mitigations. There is currently little empirical data regarding UAS traffic around airports and there is no …

Vibration-Based Detection For The Monitoring Of Neonatal Bcpap Respiratory Support To Minimize Duration Of Disconnections, Kaitlyn G. Calabresi, Meera R. Bhat, Lavinia L. Kong, Eli J. Foster, Jonathan Wang, Sangeeta Koilada, Angela Mak, Aastha Kapadia, Niam Mohseni, W. Keith Leung, Suneetha Desiraju, Constanza Miranda

School of Medicine Faculty Publications

Bubble continuous positive airway pressure (bCPAP) is a minimally invasive respiratory support for neonates experiencing respiratory distress syndrome (RDS). It exerts continuous, oscillatory air pressure to encourage lung function and development. Neonates’ movement may cause disconnections at the nasal interface. These disconnections are characterized by the cessation of bubbling at the bCPAP respiratory circuit output and frequently go unnoticed until hypoxia develops. Common Neonatal Intensive Care Unit (NICU) bCPAP systems lack a built-in alarm or accessory device to monitor for disconnections. As a result, nursing personnel must exercise extreme caution utilizing current bCPAP procedure. If a neonate is disconnected, it …

Machine Leaming-Empowered Mode Selection For Qos Improvement In D2d-Assisted Communication Networks, Noordin Kamarul Ariffin, Dimyati Kaharudin, Hanafi Effariza, Noman Hafiz Muhammad Fahad, Mohd Ridzuan Nuha Adiba

Research Publications (2021 to 2025)

Device-to-device (D2D) communication has the potential to enhance network efficiency in upcoming sixthgeneration (6G) wireless networks by enabling direct communication between users. However, in ultra-dense network environments, severe interference can degrade D2D performance, potentially leading to suboptimal Quality of Service (QoS) for some users. To address this challenge, we propose a machine learning-based approach for dynamic mode selection between D2D and cellular communication, aiming to improve network efficiency and ensure optimal user satisfaction. The proposed framework leverages clustering algorithms, including k-means and k-medoids, to segregate users based on channel gain, Signal-to-Interference-plus-Noise Ratio (SINR), and path loss. Furthermore, we employ binary …

Advancing Eye-Gaze Writing Systems With Computer Vision, And Dynamic Text Suggestions, Walid Abdallah Shobaki

Theses and Dissertations

Eye gaze writing, a novel interaction modality, has the potential to revolutionize communication for individuals with limited mobility. In our research, we investigated the deep learning algorithms efficiency for real-time eye gaze writing. We have compared many algorithms' performance in many computer vision areas, such as object detection in which we used first YOLOv8, the second algorithm SSD, and the third algorithm is Faster R-CNN, the second computer vision area is the image segmentation in which we used DeepLab and U-Net, and the last computer vision area is self-supervised learning we have used SimCLR algorithm. By evaluating these models on …

Research And Education In Robotics: A Comprehensive Review, Trends, Challenges, And Future Directions, Mutaz Ryalat, Natheer Almtireen, Ghaith Al-Refai, Hisham Elmoaqet, Nathir Rawashdeh

Michigan Tech Publications

Robotics has emerged as a transformative discipline at the intersection of the engineering, computer science, and cognitive sciences. This state-of-the-art review explores the current trends, methodologies, and challenges in both robotics research and education. This paper presents a comprehensive review of the evolution of robotics, tracing its development from early automation to intelligent, autonomous systems. Key enabling technologies, such as Artificial Intelligence (AI), soft robotics, the Internet of Things (IoT), and swarm intelligence, are examined along with real-world applications in healthcare, manufacturing, agriculture, and sustainable smart cities. A central focus is placed on robotics education, where hands-on, interdisciplinary learning is …