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Physiological and Neurophysiological Measures Used To Quantify Cognitive Workload of UAS Operators
Get PDFCognitive workload, the mental effort required to complete a task, is a factor thatcan impair performance in safety-critical missions, such as operating unmannedaerial systems (UAS). Traditional assessments like the NASA Task Load Index(NASA-TLX) rely on subjective ratings but can be intrusive and inaccurate. Thisstudy explores objective and continuous measures with functional near-infraredspectroscopy (fNIRS) and eye-tracking. Thirty-five participants completedsimulated flight scenarios, and data were collected from eye-tracking, fNIRSbiomarkers, performance scores, and questionnaire responses to analyze cognitiveworkload. Machine learning classifiers, including Support Vector Machine andLogistic Regression, trained using biomarkers derived from feature selectionalgorithms, achieved moderate success (LR classifier trained on forward selectedneurophysiological feature set: 77% accuracy, 86% F1 score) in classifyingcognitive workload states. Future research will aim to enhance the predictiveaccuracy of these models by integrating biomarkers derived from eye-trackingand fNIRS
Exploring Well-Being and the Potential Impact of Occupational Stress Among Female Cabin Crew
Get PDFThis article examines and highlights the welfare of cabin crew in commercial airlines,emphasizing well-being and occupational stress among female cabin crews. It is keen todemonstrate and educate how the profession is often glamourized but continuously facessignificant setbacks like inadequate empathy for staff, established cultural expectations, extremefatigue, and minimal resting periods, which result in chronic fatigue and stress. Equally vital isits focus on how most female cabin crew find it challenging to achieve and maintain work-lifebalance without risking burnout and compromising their emotional, psychological, and mentalhealth. As such, incorporating changes like good communication and managerial support by thecabin crew section leadership is necessary. Overall, this study offers an in-depth understandingof the prevalence and intensity of work stress, specifically among cabin crews, thereby addingvalue to academic research and industry practice. research
Towards Modeling Pilot-Cockpit Interactions To Identify Interface Design Deficiencies Early in System Development
Get PDFThis paper introduces the Pilot-Cockpit Interaction Model (PCIM), a human-taskinterfaceframework built on flight tasks and micro-interactions (perception,comprehension, and projection). PCIM links cockpit design components (aspects,requirements, settings) with pilot behavior to systematically evaluate interfaceeffectiveness for different flight tasks. We demonstrate PCIM’s application through acase study of helmet-mounted display symbology, showing how interface deficiencyidentification and design changes can enhance pilot comprehension and projection. ThePCIM enables early-stage identification of design deficiencies, offering a structured,human-centered approach to improving interface design and pilot performance. Futurework will expand the model’s scope and integrate quantifiable metrics to evaluate pilotresponses across broader system and interaction levels
The Argument for “New Aquileia”: Literary Responses from the Venetian Church to the Synod of Mantua (827 - 1049 C.E.)
No full textFerraro analyses the literary responses of the church of Grado and the origins and development of the early medieval schism within the church of Aquileia.https://corescholar.libraries.wright.edu/cola_showcase_2025/1002/thumbnail.jp
A Review on the Ethnozoological Remedies with the Help of Animal Body Parts and its Impact on their Conservation Status
No full textThe use of wildlife in biomedical science has had a long history as it has been used as experimental animals, Sources of unusual physiology, and of bioactive compounds on which life-saving medicines are based. Amphibians are a Source of antimicrobial peptides, analgesic alkaloids, and regeneration. Immune adaptations and venoms of reptiles have produced cardiovascular medications, anti-clotting solutions and diabetes treatment. Birds serve as models of zoonotic diseases and provide immunological tools e.g. IgY antibodies and support embryology and neurobiology. Advanced studies on human disease, vaccines, cancer resistance and hypoxia tolerance have been facilitated by mammals such as rodents, primates, bats, mole rat, and sea creatures. Vital genetic and regenerative models and Sources of omega-3 oils and antifreeze proteins are fish, especially zebrafish, goldfish, pufferfish and Antarctic species. Examples of invertebrates include cone snails, horseshoe crabs, leeches and jellyfish that are excellent Sources of pharmacological agents and other tools such as GFP and LAL testing. Also, microbial symbiosis of wildlife is an under-researched area of drug discovery, the amphibians, reptiles, horseshoe crabs, and leeches are experiencing alarming population reductions. To sustain the innovation process, conservation, synthetic alternatives, and responsible use are needed to balance innovation with both sustainability and biodiversity protection
Best Integrated Writing Spring 2025 - Complete Edition
Get PDFBest Integrated Writing includes excellent student writing from Integrated Writing courses taught at Wright State University
Uncovering the Uncatalogued: Reviving the Museum’s Lost Catalog
Get PDFDarrelll Blevins presents his work in creating a new exhibit for the Clark County Heritage Center
Mysteries and Marvels: Cataloguing and Exhibiting Medical Artifacts at the Clark County Heritage Center
No full textThis presentation was not submitted for inclusion in the repository
The Relationship Between Socioeconomic Factors and Low Birth Rates in Ohio
Get PDFBackground: The incidence of low birth weight (LBW) has not substantially fallen over time despite advances in medical interventions. LBW has been linked to several chronic diseases in adulthood including type 2 diabetes (T2DM) and cardiovascular disease (CVD), making it a particularly salient public health issue.Objective: To examine socioeconomic factors and diseases associated with LBW in Ohio between 2016-2022.Methods: Using data from County Health Rankings, we identified socioeconomic factors predictive of LBW in Ohio between 2016-2022. We also examined the relationship between LBW and incidence of T2DM as well as food insecurity (FI). In addition, we investigated how LBW incidence has changed over time (2016-2023).Results: Since 2016, the proportion of live births with LBW has not significantly changed. A significantly positive correlation was found between LBW and incidence of T2DM as well as FI. There was a statistically significant difference between LBW in urban versus rural counties with urban counties having higher incidence rates. For both rural and urban counties, the percentage of children in single parent households was most predictive of LBW. In rural counties, severe housing problems and percent uninsured adults also had high predictive value
Investigating the Relationship Between Adult Obesity and Various Socio-economic Factors in Ohio
Get PDFBackground: Obesity continues to be a significant concern in the United States for decades. While several advancements in the field of medicine have been established over the years, obesity has been a serious issue in the adult population in terms of its resources and cost. Objective: The aim is to direct and explore how obesity is linked to various factors such as median household income, access to exercise opportunities, excessive drinking and diabetes prevalence in the state of Ohio.Methods: Data was collected from the County Health Rankings website from the years 2016 and 2023. Data analytics were done using various tests (regression, correlation and paired t-test) to compare adult obesity rates in Ohio and interpret its relationships with the variables chosen for the study i.e., median household income, access to exercise opportunities, excessive drinking and diabetes prevalence.Results:. Statistical decrease in adult obesity by 0.047% as exercise opportunities increase by one percent. Positive correlation between the percentage of adults with obesity and the percent of adults with diabetes (r = 0.590, p \u3c 0.001). A significant negative correlation (r = -0.590, p \u3c 0.001) between percent of median household income and percent of adults with obesity. Obesity rates have continued to follow historic trends of increasing in the percentage of the population that it affects specifically in Ohio there was an increase from 32.08% in 2016 to 38.11% in 2023. Among access to exercise, excessive drinking and diabetes, only diabetes was found to be predictive for obesity. Interestingly, excessive drinking was found to have a weak but significant negative correlation with the percentage of adults with obesity