Effectiveness of Virtual Reality Simulations for Civilian, Ab Initio Pilot Training

Aviation training in the immersive Virtual Reality (VR) world has the power to overcome physical constraints, presenting cues and stimuli that would not be available in flight, nor in a two-dimensional (2D) environment. This gives VR powerful potential as a simulation tool for learning complex skills and maneuvers in the cockpit. This study evaluated the effectiveness of VR simulations as compared to traditional 2D desktop simulations in teaching maneuvers and skills to ab initio (inexperienced) civilian pilot trainees. This quasi-experimental project involved 17 freshman pilot students in an experimental college course at a private university campus in the fall semester of 2020. The participants were split into two sections: Section 1 completed CBT activities and simulations in 2D only, while Section 2 completed CBT activities in 2D and simulations in VR. Academic performance data was collected in the Canvas Learning Management System, broken down by understanding of a maneuver learned in a given lesson module. Descriptive statistics collected included quizzes, discussion board activity, and simulation completion scores. Paired samples t-tests compared perceived benefits of using the various course materials. Researchers also administered post-semester surveys to gather both qualitative and quantitative data, in which participants shared their perceptions of the course, preference for learning material type, and general feedback. Results indicated that students in both groups found the sims/tutorials and VR to be enjoyable and gratifying; the majority of students indicated that simulations were preferred over other learning materials. Early results indicate that although the students perceived that the simulations were beneficial, there were no significant differences in the final course scores or learning rates between those who utilized 2D sims as opposed to VR sims. The most important finding is that for ab initio pilots, VR simulations do not hinder learning mastery, as compared with traditional 2D desktop simulations

Regional-Scale Simulations of Fungal Spore Aerosols Using an Emission Parameterization Adapted to Local Measurements of Fluorescent Biological Aerosol Particles

Fungal spores as a prominent type of primary biological aerosol particles (PBAP) have been incorporated into the COSMO-ART (Consortium for Small-scale Modelling- Aerosols and Reactive Trace gases) regional atmospheric model. Two literature-based emission rates for fungal spores derived from fungal spore colony counts and chemical tracer measurements were used as a parameterization baseline for this study. A third, new emission parameterization for fluorescent biological aerosol particles (FBAP) was adapted to field measurements from four locations across Europe. FBAP concentrations can be regarded as a lower estimate of total PBAP concentrations. Size distributions of FBAP often show a distinct mode at approx. 3 μm, corresponding to a diameter range characteristic for many fungal spores. Previous studies for several locations have suggested that FBAP are in many cases dominated by fungal spores. Thus, we suggest that simulated FBAP and fungal spore concentrations obtained from the three different emission parameterizations can be compared to FBAP measurements. The comparison reveals that simulated fungal spore concentrations based on literature emission parameterizations are lower than measured FBAP concentrations. In agreement with the measurements, the model results show a diurnal cycle in simulated fungal spore concentrations, which may develop partially as a consequence of a varying boundary layer height between day and night. Temperature and specific humidity, together with leaf area index (LAI), were chosen to drive the new emission parameterization which is fitted to the FBAP observations. The new parameterization results in similar root mean square errors (RMSEs) and correlation coefficients compared to the FBAP observations as the previously existing fungal spore emission parameterizations, with some improvements in the bias. Using the new emission parameterization on a model domain covering western Europe, FBAP in the lowest model layer comprise a fraction of 15% of the total aerosol mass over land and reach average number concentrations of 26 L�1. The results confirm that fungal spores and biological particles may account for a major fraction of supermicron aerosol particle number and mass concentration over vegetated continental regions and should thus be explicitly considered in air quality and climate studies

A Search for Radio Emission from Supernovae With Ages from About One Week to More Than 80 Years

We report VLA radio observations of 29 SNe with ages ranging from 10 days to about 90 years past explosion. These observations significantly contribute to the existing data pool on such objects. Included are detections of known radio SNe~1950B, 1957D, 1970G, 1983N, the suspected radio SN 1923A, and the possible radio SN 1961V. None of the remaining 23 observations resulted in detections, providing further evidence to support the observed trend that most SNe are not detectable radio emitters. To investigate the apparent lack of radio emission from the SNe reported here, we have followed standard practice and used Chevalier's ``standard model'' to derive (upper limits to) the mass-loss rates for the super nova progenitors. These upper limits to the fluxes are consistent with a lack of circumstellar material needed to provide detectable radio emission for SNe at these ages and distances. Comparison of the radio luminosities of these supernovae as a function of age past explosion to other well-observed radio SNe indicates that the Type II SNe upper limits are more consistent with the extrapolated light curves of SN 1980K than of SN 1979C, suggesting that SN 1980K may be a more typical radio emitter than SN 1979C. For completeness, we have included an appendix where the results of analyses of the non-SN radio sources are presented. Where possible, we make (tentative) identifications of these sources using various methods.Comment: 42 pages, 9 fiugres, 5 tables; To appear in Ap

Drug discovery: Insights from the invertebrate Caenorhabditis elegans

Therapeutic drug development is a long, expensive, and complex process that usually takes 12–15 years. In the early phases of drug discovery, in particular, there is a growing need for animal models that ensure the reduction in both cost and time. Caenorhabditis elegans has been traditionally used to address fundamental aspects of key biological processes, such as apoptosis, aging, and gene expression regulation. During the last decade, with the advent of large-scale platforms for screenings, this invertebrate has also emerged as an essential tool in the pharmaceutical research industry to identify novel drugs and drug targets. In this review, we discuss the reasons why C. elegans has been positioned as an outstanding cost-effective option for drug discovery, highlighting both the advantages and drawbacks of this model. Particular attention is paid to the suitability of this nematode in large-scale genetic and pharmacological screenings. High-throughput screenings in C. elegans have indeed contributed to the breakthrough of a wide variety of candidate compounds involved in extensive fields including neurodegeneration, pathogen infections and metabolic disorders. The versatility of this nematode, which enables its instrumentation as a model of human diseases, is another attribute also herein underscored. As illustrative examples, we discuss the utility of C. elegans models of both human neurodegenerative diseases and parasitic nematodes in the drug discovery industry. Summing up, this review aims to demonstrate the impact of C. elegans models on the drug discovery pipeline.Fil: Giunti, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Bioquímicas de Bahía Blanca. Universidad Nacional del Sur. Instituto de Investigaciones Bioquímicas de Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaFil: Andersen, Natalia Denise. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Bioquímicas de Bahía Blanca. Universidad Nacional del Sur. Instituto de Investigaciones Bioquímicas de Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaFil: Rayes, Diego Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Bioquímicas de Bahía Blanca. Universidad Nacional del Sur. Instituto de Investigaciones Bioquímicas de Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaFil: de Rosa, Maria Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Bioquímicas de Bahía Blanca. Universidad Nacional del Sur. Instituto de Investigaciones Bioquímicas de Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentin

Zur Problematik der Ableitung in sozialwissenschaftlichen Aussagensystemen (Teil 1)

Untersucht werden einige in den theoretisch-empirischen Sozialwissenschaften typische Formen von Argumenten im Hinblick auf die (meist implizit gelassen) Deduktionsregeln. Dabei werden vier Arten von Aussagen - (a) Deterministische Wenn-Dann-Aussagen; (b) Deterministische Je-Desto-Aussagen; (c) Probabilistische Wenn-Dann-Aussagen; (d) Probabilistische Je-Desto-Aussagen - sowie zwei Klassen von Deduktionsregeln (basierend auf den Eigenschaften der Transitivität und Konjunktivität) behandelt. Problematisch sind nur Aussagen der Art (b), (c) und (d). Es wird die These vertreten, daß die meisten der in den Sozialwissenschaften vorgelegten 'Argumente', welche mit solchen Aussagen relativ komplizierter Struktur arbeiten, zur Ableitung jedoch nur für deterministische Wenn-Dann-Aussagen gültige Regeln verwenden, nicht korrekt sind. Zur Lösung wird generell vorgeschlagen, an Stelle einer durch ein technisches Vokabular ergänzten Wortsprache, der ausschließlich die elementare Logik zugrundeliegt, Sprachen mit reicher logischer Struktur zu verwenden, d. h. zu formalisieren. In Teil 1 werden zwei Eigenschaften deterministischer Je-Desto-Aussagen aufgezeigt: 1. Im Falle komplexer Wirkungsstrukturen mit Pfaden mit unterschiedlichen Vorzeichen führen 'Deduktionen' in der Wortsprache entweder zu Inkonsistenzen oder keinen nichttrivialen Konklusionen. 2. Bei Aussagen über soziale Kollektive, die durch 'Aggregation' aus Aussagen über Individuen gewonnen werden sollen, folgt bei Verwendung der Je-Desto-Form ebenfalls nichts für Kollektive. - In Teil 2 sollen probabilistische Aussagen diskutiert werden.

On the Problem of Deducing Valid Conclusions in Systems of Social Science Propositions

Untersucht werden einige in den theoretisch-empirischen Sozialwissenschaften typische Formen von Argumenten im Hinblick auf die (meist implizit gelassenen) Deduktionsregeln. Es werden vier Arten von Aussagen - (a) Deterministerische Wenn-Dann-Aussagen; (b) Deterministische Je-Desto-Aussagen; (c) Prohabilistische Wenn-Dann-Aussagen ('W-Implikationen'); (d) Prohabilistische Je-Desto-Aussagen - sowie zwei Klassen von Deduktionsregeln (basierend auf den Eigenschaften der Transivität und Konjunktivität) behandelt. Problematisch sind nur Aussagen der Art (b), (c) und (d). Es wird die These vertreten, daß die meisten der in den Sozialwissenschaften vorgelegten 'Argumente', welche mit solchen Aussagen relativ komplizierter Struktur arbeiten, zur Ableitung jedoch nur für deterministische Wenn-Dann-Aussagen gültige Regeln verwenden, nicht korrekt sind.