Digital Commons Network^™

Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel

Journal of Aviation/Aerospace Education & Research

The European Union Aviation Safety Agency (EASA) continues to promulgate Safety Management Systems (SMS) across aviation organizations when it recently issued SMS requirements for EASA certificated Part 145 maintenance, repair and overhaul (MRO) organizations and Part 21 Design & Manufacturing (D&M) organizations. Currently, the Federal Aviation Administration (FAA) has no such rule in place for these U.S.-based organizations, which may challenge those doing business in countries where EASA policies apply. Given that a majority of the United States’ D&M and MRO population is made up of smaller organizations, it is likely a U.S. SMS regulation will require justification of the …

'I’M A Pilot First, Female Second': Why Flight Deck Gender Imbalance Persists And The Case For Allyship, Kimberly Perkins, Rachael H. Merola, Sourojit Ghosh, Cecilia Aragon

Journal of Aviation/Aerospace Education & Research

Why is there greater gender parity for long-haul truck drivers, astronauts, and paleontologists than for women airline captains? This study uses a mixed-methods approach to examine the underlying causes of the gender imbalance in the United States aviation industry, in which only 3.6% of airline captains are women. Two polls and one survey gather data from professional pilots (N=1093) on their experience with stereotyping, gender bias, and allyship. Direct comments were analyzed to shed light on the results of the survey. Results suggest that, contrary to prevailing perceptions, the persistent gender imbalance in the flight deck can largely be attributed …

Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard, Austin T. Walden, Paul J. Thomas

Journal of Aviation/Aerospace Education & Research

Increased availability of data and computing power has allowed organizations to apply machine learning techniques to various fleet monitoring activities. Additionally, our ability to acquire aircraft data has increased due to the miniaturization of small form factor computing machines. Aircraft data collection processes contain many data features in the form of multivariate time series (continuous, discrete, categorical, etc.) which can be used to train machine learning models. Yet, three major challenges still face many flight organizations: 1) integration and automation of data collection frameworks, 2) data cleanup and preparation, and 3) developing an embedded machine learning framework. Data cleanup and …

High-Flying Results: A Case Study In A Pilot Development Mentor Program, Catherine G. Cordova, Barron Parsons-Daisley, Emma Fox Captain

Journal of Aviation/Aerospace Education & Research

Consistently considered one of the world’s most stressful occupations, the job of an airline pilot requires increasingly specific skills and responsibilities, especially amidst the global pandemic (Cullen, et al., 2020; Sew, et al., 2022). Given the severity and implications of their decisions and actions, airline pilots must continuously undergo training and practices to ensure proper procedure. In 2020, the Federal Aviation Administration (FAA) augmented qualifications by enacting Pilot Professional Development requirements (85 FR 10923), including mentoring for newly hired pilots in command (PIC’s). In complement with 85 FR 10923, CFR 121-N ensures “techniques for reinforcing the highest standards of technical …

Identifying Aircraft Damage Mitigating Factors With Explainable Artificial Intelligence (Xai): An Evidence-Based Approach To Rule-Making For Pilot Training Schools, Ryan Zierman, Burak Cankaya

Journal of Aviation/Aerospace Education & Research

Recent pilot shortages have brought pilot training into focus as the industry attempts to rectify a compounding problem. The FAA has implemented some recent rule-making regarding pilot training that has left the General Aviation community questioning the motive or justification behind the rules. FAA incident data are inconsistent, specifically with aviation activity in general; flight activity that does not result in an accident or incident is not recorded for analysis. Despite the present shortcomings in the AIDS data, applying Machine Learning techniques make it possible to predict what characteristics mitigate aircraft damage during an incident (AUC=0.913, Accuracy=97%, Recall=84%, Precision=89%). Machine …

Machine Learning - Hail Awareness Spatial Analysis Toolkit (Hasat), Haoruo Fu, Joseph P. Hupy, Chien-Tsung Lu, Zhenglei Ji

Journal of Aviation/Aerospace Education & Research

The National Airspace System (NAS) is a sophisticated network of air traffic control, navigation, and communication systems that play a critical role in ensuring the safe and efficient flow of air traffic across the United States. However, the occurrence of severe weather conditions, particularly hailstorms, poses a significant threat to flight safety within the NAS. To mitigate the risks associated with hail, aviation organizations have implemented a range of safety measures. This study utilized Esri’s ArcGIS as a mapping software to conduct a geospatial analysis of the impact of severe weather, particularly hail, on the NAS. The Hail Awareness Spatial …

Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara

Journal of Aviation/Aerospace Education & Research

Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams can collaborate and coordinate in various domains, including aviation and crew resource management (CRM). AI's transformative capabilities enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the ‘HABA-MABA’ framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective …

Artificial Intelligence In Aviation: A Path Analysis, Leila Halawi, Mark D. Miller, Sam J. Holley

Journal of Aviation/Aerospace Education & Research

The study applied the Technology Acceptance Model (TAM) to assess trust in artificial intelligence (AI) within the US commercial aviation industry. It found that ease of use and usefulness positively influenced attitudes toward AI, impacting users’ intention to use it. However, perceived usefulness did not significantly affect meaning, purpose, and mood positively correlated with trust in AI. In some cases, higher perceived usefulness led to lower trust, indicating the complexity of trust in AI in aviation. This study highlights the importance of trust in AI and suggests the need for further investigation in the aviation context. It also recommends expanding …

Real-Time Detection Of Sea Turtles Using Uav And Neural Networks On Edge Devices, Jose A. Gonzalez Nunez, Jose G. Gonzalez Nunez, Mustafa I. Akbas, Patrick Currier, Nickolas D. Macchiarella

Journal of Aviation/Aerospace Education & Research

Sea turtle populations continue to diminish around the globe for various reasons. Therefore, the need for innovative solutions to monitor sea turtles has been increasing. This research paper focuses on an innovative application of artificial intelligence (AI) and machine learning (ML) together with unmanned aerial vehicles (UAV) to improve sea turtle conservation efforts. We outline the design, implementation, and evaluation of a system that deploys UAVs equipped with high-resolution cameras, coupled with a purpose-built neural network to recognize, classify, and monitor sea turtles. This project thus serves as a platform for understanding the wider applicability and limitations of this technology …

Reach, Adoption, And Maintenance Of Online Acceptance And Commitment Therapy At A University: An Implementation Case Study, Carter H. Davis, Korena Klimczak, Ty B. Aller, Michael P. Twohig, Michael E. Levin

Psychology Faculty Publications

College students are undergoing a mental health crisis and existing clinical resources at universities may be inadequate to meet their needs. One solution to this problem could be the use of self-guided, online programs for mental health that can be easily distributed to students. A persistent issue, however, is the transition from program development to implementation of a self-guided program at campus-wide scale. We describe, in a self-narrative format, the steps taken to translate an online program we developed based in acceptance and commitment therapy (ACT), called ACT Guide, from a research context to a campus-wide service at our university. …

Diabetic Insole Design Using Finite Element Analysis, Nora K. Yousef, Mohamed Tarek El-Wakad, Mohamed Ahmed Ali Eldosoky, Ahmed Mustafa Soliman

Trends in advanced sciences and technology

Diabetic patients frequently face complications such as foot ulcers which are the primary cause of lower-limb amputation. Recent research has found that reducing plantar pressure can dramatically minimize the chance of developing a diabetic foot ulcer. Using orthopedic insoles can lead to reducing and redistributing pressure on the foot's sole. The purpose of this study was to develop a technique using Finite Element Analysis (FEA) for creating dedicated, low-cost insoles for diabetic patients to reduce maximal plantar pressure, and to rapidly refine designs and assess their effectiveness in meeting a predefined pressure threshold for foot offloading in diabetic neuropathic patients. …

Dual Activity Of Aromatic And Heterocyclic Compounds As Anti-Inflammatory And Anticancer Promising Agents, Samar Said Fatahala, Rania Helmy Abd El-Hameed, Mosaad Sayed Mohamed, Neama Abdallah Abd El-Tawab

Trends in advanced sciences and technology

As the second leading cause of mortality worldwide, cancer poses a severe threat to human health. Chronic inflammation has recently been linked to an increased risk for a number of malignancies, suggesting that reducing inflammation could be a useful approach to both cancer prevention and treatment. This review delves into the connection between inflammation and cancer and outlines the current use of anti-inflammatory drugs as potentially effective cancer prevention and therapy strategies. we herein describe the main relation and the mechanisms underlying the anti-cancer outcomes of anti-inflammatory agents; namely Non-Steroidal Anti-inflammatory Drugs (NSAIDs), COX-2 inhibitors, LOX-inhibitors, Toll- inhibitors, and antioxidant …

Ilizarov External Fixation Versus Plate Osteosynthesis In The Management Of Complex Extra-Articular Distal Tibial Fractures, Ali Adel Katamesh, Mohamed Osama Hegazy, Ahmed Shaban Hassen

Trends in advanced sciences and technology

Background: This study aimed to compare Ilizarov external fixation (IE) versus plate osteosynthesis (PO) as a definitive treatment of complex extra-articular distal tibial fractures.

Methods: A comparative prospective randomized control study was carried out on series of thirty cases met the inclusion criteria, classified into two equal groups. The 1st one was managed using plate osteosynthesis. The 2^nd one was managed using IE. For group A, non-weight bearing ambulation was allowed two days after the surgery while partial weight bearing was allowed depending on the clinical and radiological criteria of the progress in union. Regarding the 2nd group, weight …

Endorsing A Biophychosocial Perspective Of Pain In Individuals With Chronic Pain: Development And Validation Of A Scale, Maria Kleinstäuber, Eric L. Garland, Brittany L. Sisco-Taylor, Mathias Sanyer, Julia Corfe-Tan, Antonia Barke

Psychology Faculty Publications

Objectives:

Patients' beliefs about pain play an important role in their readiness to engage with chronic pain self-management. The central aim of this study was to validate a self-report instrument to assess a specific set of pain beliefs, patients' endorsement of a biopsychosocial model of chronic pain (PEB).

Methods:

Interdisciplinary experts in the field of pain were involved in creating an instrument, the PEB Scale, to operationalize patients' endorsement of a biopsychosocial pain model. A sample of 199 patients with chronic pain was recruited to evaluate the factorial structure (principal axis factoring), the internal consistency (Cronbach's alpha), the convergent …

Immunomodulatory Activity Of Different Polyphenolic Compounds Isolated From Origanum Majorana, Doaa G. El-Hosari, Nermine M. Mohammd, Mohamed F. Barghash, Mohamed I. S. Abdelhady, Reham R. Ibrahim

Trends in advanced sciences and technology

Growing in many Mediterranean nations since antiquity, Origanum majorana L. is an aromatic herb that gained popularity as a spice and medicinal plant during the Middle Ages. Although O. majorana possesses a wide range of pharmacological effects, its immunoreactive components and mechanisms remain unknown. In this study, six compounds were isolated and identified from O. majorana. The isolated compounds were identified on the basis of acid hydrolysis, comparative PC, UV, ESI-MS, 1H- and 13C-NMR spectroscopic analysis and comparing with authentics and previous reported data. The compounds were identified as Cinnamic acid, Gallic acid, Caffeic acid, PCoumaric acid, Apigenin and Luteolin. …

Impact Of Glottis Area On Airflow Dynamics In The Human Trachea Using A Simplified Stenosis Pipe Model, Amany M. Kamal, Momtaz Sedrak, Abouelmagd Abdelsamie

Trends in advanced sciences and technology

A complex transitional flow is produced in the larynx during air inhalation process, pivotal for fundamental comprehension and medical advancements in treatment methodologies. This study delves into the influence of the glottis region utilizing a simplified stenosis pipe geometry, examining two distinct cases: (1) the axisymmetric case and (2) the eccentric case. Reynolds-averaged Navier–Stokes equations with shear stress transport (SST) 𝑘 − 𝜔 turbulence model with intermittency transition activated with steady, Newtonian, and incompressible airflow have been used. The analysis underscores the significant impact of the eccentricity on the velocity by increasing 0.6% comparing with axisymmetric case, also particularly affecting …

Toward Sustainable Green Asphalt Pavement Mixture Using Rap And Waste Engine Oil, Aya Refaat, Amina M. Saleh, Reem K. Farag, Abdelzaher E. A. Mostafa

Trends in advanced sciences and technology

Aim/Objectives/Background

Recently, reclaimed paving material (RAP) has gained priority in road paving due to concerns about the depletion of natural resources and its environmental impact. Restoring RAP properties, including solid material gradation and aged asphalt characteristics, is essential. This research aims to prepare an economical asphalt paving mix using 100% RAP and waste engine oil (WEO) as a rejuvenator for aged asphalt, facilitating its reuse in road paving.

Methods

To achieve the aim, aged asphalt was extracted from RAP and characterized for physical, chemical, and molecular structure. RAP was characterized through sieve analysis. The maximum proper content of WEO required …

Comprehensive Investigation Of Using Tire-Derived Aggregate In Chip Seal Subjected To Various Traffic And Environmental Conditions, Alireza Pourhassan

Doctoral Dissertations

"Chip seal is one of the most cost- and performance-effective pavement preservation treatments commonly used in the United States. Using crumb rubber obtained from scrap tires as a partial or full replacement for mineral aggregate has been proposed as a sustainable solution to reduce the negative environmental impacts of scrap tire accumulation and excessive consumption of natural resources. However, there was no data available regarding the performance of rubberized chip seal under traffic loads and environmental conditions. An extensive study using laboratory specimens and conditioning as well as field implementation and assessments were conducted to bridge this gap. Different traffic …

Novel Uses Of Distributed Optical Fiber Sensing For Geo-Mechanical Monitoring, Samuel Vincent Nowak

Doctoral Dissertations

"Rock mass monitoring in underground excavations is crucial for ensuring workplace safety and efficiency. As mines become deeper and more complex, the need to monitor larger volumes of rock during mining becomes impractical with existing instruments due to high costs. Distributed Optical Fiber Sensing (DOFS) is a powerful technology with advantages like long sensor length, real-time measurement capabilities, ease of installation, low cost, and distributed measurement. However, its application in rock mass monitoring is limited, especially in the mining industry. This study addresses a major gap in DOFS technology, specifically the inability of long-range distributed optical fiber strain sensors to …

Contextualizing Renewable Energy Adoption: An Examination Of The Role Of Community Choice Aggregation, Ankit Agarwal

Doctoral Dissertations

"The rapid expansion of renewable energy generation in the U.S., both through distributed and utility-scale facilities, is largely driven by top-down policy measures and the growing engagement of residential consumers on both individual and community levels. Previous studies on motives behind residential renewable energy adoption have examined procurement options in isolation and within a static context, primarily focused on intrinsic attributes like economic incentives, emission reductions, and peer popularity. This research introduces a novel context, assessing renewable procurement options in the presence of Community Choice Aggregation (CCA), a more prevalent and accessible alternative. This dissertation makes four pivotal contributions, offering …

A Human-Centered Framework For Oncological Healthcare System Modeling Applied To Mobile Radiation Delivery, Alex Price

Doctoral Dissertations

"Healthcare systems engineering is challenging due to the complexity, geographic expansiveness, inertial properties, and the heterogeneous sub-systems, with varying vested interests. Additionally, humans comprise many of the forms and functions, and are independent, with resistance and uncertainty in their decision-making that adds complexity. Human-centered systems modeling approaches are therefore needed to capture this unique aspect of a healthcare system and to enhance understanding of emergent healthcare properties. This dissertation focuses on integrating systems modeling within healthcare and emphasizes the importance of incorporating human decision-making. Moreover, the incorporation of a human-centered approach yields particularly valuable insights into the decision-making processes that …

Design And Development Of Biocompatible Mofs And Silica-Based Nanocarriers With Controlled Pharmacokinetics For Drug Delivery Applications, Neila Pederneira

Doctoral Dissertations

"In the past decade, a big interest has drawn into nanoporous metal-organic frameworks (MOFs) and silica-based materials as nanocarriers for drug delivery applications, owing to their exceptionally high surface area and highly structured porous network. The overall goal of this research was to optimize the pharmacokinetic behavior of several highly porous biocompatible drug carriers that have the potential to carry Ibuprofen, 5-Fluorouracil, and Curcumin to the desired tissue without creating a burst effect and minimizing the amount of dosage and size that conventional capsules require. The specific objectives of this study are to (i) assess the effect of drug solubility …

Advanced Mass Spectrometry Method Development And Applications For Assessment Of Traumatic Brain Injury And Legionella Pneumophila Dissinfection With Copper, Austin Chase Sigler

Doctoral Dissertations

"Pathological processes often involve complex biochemical changes which can be assessed using advanced mass spectrometry. In this present dissertation, two fields were studied: traumatic brain injury (TBI), and water contamination by L. pneumophilia. TBI is a pressing public health concern for which current clinical tools remain inadequate. We present newly developed mass spectrometric methods to access metabolites associated with blast induced TBI. We applied these methods to the biofluids of soldiers conducting explosives training. Significant changes in several metabolites were observed between pre- and post-blast specimens, including changes that increased with repeated exposure. These changes point to the possibility of …

Deep Learning Techniques For Image Segmentation In Dermoscopic Skin Cancer Images, Norsang Lama

Doctoral Dissertations

"Melanoma is recognized as the most lethal type of skin cancer, responsible for a significant proportion of skin cancer-related deaths. However, early detection of melanoma is essential for successful treatment outcomes. Computer-aided skin cancer diagnosis tools can save lives by enabling earlier detection of skin cancer. Image segmentation is a crucial step in computer-aided diagnosis as it allows the detection of critical features or regions in an image. Thus, an accurate image segmentation method is necessary to create a more precise computer-aided diagnostic tool for skin cancer diagnosis. This dissertation includes investigating and developing deep learning techniques to improve image …

Improvements In Biomedical Image Analysis With Computational Intelligence And Data Fusion Techniques, Akanksha Maurya

Doctoral Dissertations

"An estimated 2 million new cases of basal cell carcinoma (BCC) are diagnosed each year in the United States, making it one of the most common skin cancers. Earlier detection of these cancers enables less invasive biopsies. Clinical detection consists of a preliminary visual observation of these skin lesions by an experienced dermatologist making it a specialized task highly dependent on their time, availability, and resources. Hence, there is a need for automating this process that can assist healthcare staff. In recent years, deep learning (DL) has been used extensively and successfully to diagnose different cancers in dermoscopic images. Telangiectasia …

Development Of Uas And Geophysical Techniques For Agriculture And Environmental Site Characterization, Yunyi Guan

Doctoral Dissertations

"Soil properties are critical for agricultural management. Geophysical techniques such as ground penetrating radar (GPR) and electromagnetic induction have been used to measure soil properties for agricultural applications. However, their measurements are only acquired along select traverses within a field, and the data processing can be time-consuming, the instruments can also be expensive. Unmanned aerial vehicles (UAVs) are a recent advancement used for precision agriculture. Compared with geophysical data, UAVs have higher resolution and wider coverage and can quickly collect data across the whole field. The operation is also relatively simpler with a more economical acquisition cost. This research investigates …

Applications Of Computational Intelligence And Data Fusion Techniques For Biomedical Images, Anand Krishnadas Nambisan

Doctoral Dissertations

"The realm of melanoma diagnosis has been significantly advanced by deep learning (DL) techniques, yet the current approaches are not without limitations, including missed diagnoses and the challenge of interpreting these "black box" models. The research is comprised of three studies, each contributing uniquely towards advancing melanoma detection accuracy and interpretability. The first study focuses on improving the detection of specific dermoscopic structures through a deep learning-based segmentation approach, while the second study builds upon this by employing a fusion technique that combines traditional image features with advanced deep learning models. This method significantly improves melanoma detection, particularly in recall …

Analytical Methods For Monitoring Traumatic Brain Injury Biomarkers/Treatment And Pharmaceutical Residual Solvents, Olajide Philip Adetunji

Doctoral Dissertations

"The development of highly sensitive and efficient analytical methods utilizing advanced instrumentation is necessary to help improve disease diagnosis and therapeutics. A major neuro-consequence of traumatic brain injury (TBI) is oxidative stress from the generation of reactive oxygen species and the depletion of antioxidant defenses. Alteration in concentrations of certain small molecules also occurs with the disease progression and can help understand TBI pathophysiology. Two analytical methods employing liquid chromatography with tandem mass spectrometry (LC-MS/MS) were developed and validated to monitor the potential small-molecule TBI biomarkers at sub-ppb levels. Subsequently, the neuroprotective effect of an antioxidant prodrug, N-acetylcysteine amide (NACA), …

Optimization Of Fire Emergency Preparedness In Underground Mining Environments: An Agent-Based Evacuation Approach, Oluwafemi Babatunde Salami

Doctoral Dissertations

"Underground mining environments present a complex interplay of thermal and non-thermal hazards, with fires constituting a significant risk due to the release of heat smoke from incomplete combustion. The propagation of these hazards through the ventilation networks underscores the critical need for understanding fire scenarios and their interaction with the underground environment. Existing knowledge regarding past mine fire disasters, and quantification of associated hazards and risks are insufficient for optimizing emergency evacuation strategies in the event of an underground fire emergency.

This research endeavors to bridge this gap by developing advanced quantitative risk assessment and evacuation models tailored specifically for …

Investigating The Potential Of Blended Feedstocks For Biofuel Production Via Pyrolysis Process: Experimental And Aspen Simulation Approach, Hasan Jawad Hammood Al-Abedi

Doctoral Dissertations

"The development of renewable energy sources has become increasingly urgent considering the climate crisis and the need to reduce greenhouse gas emissions. Pyrolysis, which is decomposition of an organic feedstock without oxygen, is a thermo-chemical process that has garnered significant attention as a promising technology for sustainable energy production, capable of converting biomass and waste materials into biofuels.

The primary objective of this study is to investigate the pyrolysis and co-pyrolysis behaviors of corn stover (CS), refuse-derived fuel (RDF), and oil shale (OS) in equal mass ratios. Utilizing a thermogravimetric analyzer and differential scanning calorimetry (DSC), the co-pyrolysis process is …