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Simulator-Based, Machine Learning-Modelled, Psychophysiological Measurement-Augmented Pilot Screening in the Republic of Singapore Air Force
Get PDFThe project uses a simulator-based screening approach aimed at screening forpilot potential in the Republic of Singapore Air Force (RSAF). Against thebackdrop of a shrinking talent pool and lean resources, the simulator-based pilotscreening (SBPS) aims to leverage simulators, data science and other emergingtechnology to enhance effectiveness and optimize efficiency for pilot screening inthe RSAF. SBPS uses simulator-based screeners to assess candidates over tendays, through four standardized simulated training/mission sorties. Primaryassessments include standardized task performance and behavior-basedobservations by RSAF Qualified Flying Instructors (QFIs) and AviationPsychologists (AvPsychs), as well as objective mission and task performanceparameters measured by the simulator. Psychophysiological measures (PPMs),eye trackers, electroencephalograms (EEG), electrocardiograms (ECG), videobasedemotion coding, as well as simulator data were explored as means toaugment task and behavior-based assessments
Faculty Senate Meeting Agenda and Minutes, March 31, 2025
Get PDFAgenda and minutes from the Wright State University Faculty Senate Meeting held on, March 31, 2025
Faculty Senate Meeting Agenda, April 14, 2025
Get PDFAgenda from the canceled Wright State University Faculty Senate Meeting held on, April 14, 2025. This meeting was canceled due to no urgent curricular items
Hemodynamically Induced Creation and Rupture of Secondary Intracranial Aneurysms: A Discriminant Study Using Anatomical and Phantom Models
No full textBackground and Purpose A daughter sac was described as an irregular protrusion of the aneurysm wall. Intracranial aneurysms (IAs) with daughter sacs elevate IA rupture risks. This research aimed to investigate hemodynamic factors associated with the inception of daughter sacs and IA rupture using anatomical and phantom IA models under various SIA scenarios through hemodynamic and statistical analysis.Methods Using standardized reconstruction procedures, anatomical IA models of 45 cerebral aneurysms harboring 67 daughter sac scenarios were constructed from 3D rotational angiographies, and 67 phantom parental intracranial aneurysm (PIA) models representing the state before daughter sac formation were virtually created by prescriptively removing the blebs from the anatomic models. An in-vitro validated computational method with physiological pulsatile flow boundary condition was adopted to secure hemodynamic characteristics in both IA and PIA models. Statistical significance of hemodynamic parameters was analyzed to secure the critical hemodynamic indicators in correlation with rupture of IAs with SIA symptoms, and generation of SIA sacs.Results Each identified daughter sac forms at least one vortex in the saccular flow, this fact in combination with 58% of recruited cases were seen in unruptured IAs suggests the number of flow vortices has no direct relationship with the rupture of IAs or with SIA sacs. Through univariate analysis, high wall shear stress (WSS) could lead to rupture of IAs on anterior communicating artery (ACA) bifurcation (AUC=0.778), while relatively low WSS lead to rupture of IAs on the internal carotid artery (ICA) (AUC=0.840). High surface-averaged time-averaged WSS (SATAWSS) (AUC=0.712) and surface-averaged time-averaged WSS gradient (SATAWSSG) (AUC=0.692) with lower maximum oscillatory shear index (OSI) (AUC=0.799) have a great potential to initiate the SIA sac.Conclusion The hemodynamic parameters accounting for rupture of IAs with SIA sacs vary with specific aneurysm locations such as ACA and ICA. High SATAWSS and SATAWSSG with low maximum OSI could be a critical hemodynamic combination resulting in formation of a SIA and the initiation site is most likely located at the edge rather than the central point of the original hemodynamically impacted area
Income, Education, and Family Structure: Drivers of Teen Pregnancy in Rural and Urban Ohio
Get PDFTeen birth rates in Ohio have been declining; however, due to the potential adverse ramifications of any teen birth, for either the mother or the child, understanding the strongest predictors of teen birth rates in Ohio will allow physicians to preventatively care for their young female population. Our objective was to identify some qualitative factors that best indicate the environment in which a teenage pregnancy is most likely to occur, giving special attention to the difference between rural and urban environments. Relevant data was obtained from County Health Rankings and Roadmaps. This study used qualitative methods and SPSS to analyze the data obtained from County Health Rankings. Data from 2016 and 2023 was used to examine temporal variation. Regression data indicated that the strongest predictors of teen pregnancy in Ohio were socioeconomic status and children in single parent homes. This is contrasted with the weak predictors of access to primary care physicians, high school completion rate, and percentage unemployed. Although many other factors should still be explored to further illustrate the environment in which a teen pregnancy is likely to occur, our data indicates that health care access does not play a significant role in preventing teen pregnancies. As such, to prevent teen pregnancies, physicians should address social determinants of health in their young female patients
Long Commute Time and Association with Physical and Mental Health Variables
Get PDFCommuting to work or school is a common choice influenced by financial, social, or personal reasons, and it is important to ascertain whether this choice comes with negative health detriments. Using the county health data from 2016 and 2023 publicly available on the County Health Ranking and Roadmaps website, we conducted a retrospective review to see what health outcomes may be associated with a long commute. We looked at six different states, Ohio, Kentucky, Indiana, West Virginia, Pennsylvania, and Michigan. We found a very weak correlation between commute and insufficient sleep, median household income, physical inactivity, mental stress, and diabetes. Long commute times were found to be associated with obesity. Additionally, variations between states and within counties were observed. These findings are important, because those who are considering commuting should be aware of the ramifications when deciding whether or not a commute is the right decision for them
Line Graphs of Directed Graphs I
Get PDFWe determine the forbidden induced subgraphs for the intersection of the classes of chordal bipartite graphs and line graphs of acyclic directed graphs. This is a first step towards finding the forbidden induced subgraphs for the class of line graphs of directed graphs
Fast Algorithms of Computing Admissible Intervals for Discrete Distributions With Single Parameter
No full textIt is of great interest to compute optimal exact confidence intervals for the success probability (p) in a binomial distribution, the number of subjects with a certain attribute (M) or the total number of subjects (N) in a hypergeometric distribution, and the mean λ of a Poisson distribution. In this paper, efficient algorithms are proposed to compute an admissible exact interval for each of the four parameters when the sample size (n) or the random observation X is large. The algorithms are utilized in four practical examples: evaluating the relationship between two diseases, certifying companies, estimating the proportion of drug users, and analyzing earthquake frequency. The intervals computed by the algorithms are shorter, and the calculations are faster, demonstrating the accuracy of the results and the time efficiency of the proposed algorithms
A Cross Attention Approach to Diagnostic Explainability Using Clinical Practice Guidelines for Depression
Get PDFThe lack of explainability in using relevant clinical knowledge hinders the adoption of artificial intelligence-powered analysis of unstructured clinical dialogue. A wealth of relevant, untapped Mental Health (MH) data is available in online communities, providing the opportunity to address the explainability problem with substantial potential impact as a screening tool for both online and offline applications. Inspired by how clinicians rely on their expertise when interacting with patients, we leverage relevant clinical knowledge to classify and explain depression-related data, reducing manual review time and engendering trust. We developed a method to enhance attention in contemporary transformer models and generate explanations for classifications that are understandable by mental health practitioners (MHPs) by incorporating external clinical knowledge. We propose a domain-general architecture called ProcesS knowledge-infused cross ATtention (PSAT) that incorporates clinical practice guidelines (CPG) when computing attention. We transform a CPG resource focused on depression, such as the Patient Health Questionnaire (e.g. PHQ-9) and related questions, into a machine-readable ontology using SNOMED-CT. With this resource, PSAT enhances the ability of models like GPT-3.5 to generate application-relevant explanations. Evaluation of four expert-curated datasets related to depression demonstrates PSAT’s application-relevant explanations. PSAT surpasses the performance of twelve baseline models and can provide explanations where other baselines fall short
El Transporte Público: Catalizador de Cambios Económicos y Sociales
No full textThis paper is a comprehensive approach based on research, to a problem whose implications are the function of society itself. The trends, statistics, and problems are linked with an essay’s style that considers the situations of different types of people, from different social classes, professions and roles. The result is a scientific and human text –at the same time– full of evidence and suggested solutions for a better coexistence in a city that was a world leader in air transport. By comparing public transportation with that of other cities, through solid successive arguments, Nathan achieves an objective, convincing text, which leaves us with a glimpse of what a city of the millennium can be