The black hole illusion (BHI) is a subtype of spatial disorientation that can result in fatal consequences in aviation. Research on the BHI has generally focused on altitude deviation, and few studies have examined the effect across different flight phases. In a simulation-based experiment, 18 participants performed 12 simulated approach and landing tasks in normal and BHI environments. Flight performance was analyzed with 14 flight parameters and was compared across five points and three phases, which were referenced from a National Transportation Safety Board report and other previous studies. Results showed that multiple flight parameters were significantly impaired and that their influences varied from the initial approach to the final touchdown. In the BHI environment, participants tended to descend aggressively during the approach phase and flew a lower but similar glidepath during the last approach phase. They might have realized the abnormal situation induced by the BHI but usually were unable to recover from the dangerous maneuver in time. Additionally, the result of glide path error, one of the most commonly used variables in previous BHI research, was only significant during the last approach phase. Flight stability was also impaired in the BHI environment. This is the first study to systematically analyze the BHI effects on multiple flight parameters at different flight phases. The use of this experimental paradigm could facilitate future research to evaluate and prevent the BHI in a more comprehensive way.
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http://dx.doi.org/10.1016/j.apergo.2023.104048 | DOI Listing |
J Pharm Biomed Anal
January 2025
ADSI, Austrian Drug Screening Institute GmbH, Innrain 66a, Innsbruck 6020, Austria.
The aim of this work was to develop and validate a rapid dispersive-solid-phase extraction method for the quantification of pyrrolizidine alkaloids (PA) from plant extracts. The method was focused on the significant removal of the intricate matrix to ensure good sensitivity for the subsequent instrumental analysis of PA. This was achieved by employing nano-zirconium silicate (NZS) as a dispersive-SPE sorbent.
View Article and Find Full Text PDFSci Rep
January 2025
School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Anhui, 10378, China.
Dung Beetle algorithm is an intelligent optimization algorithm with advantages in exploitation ability. However, due to the high randomness of parameters, premature convergence and other reasons, there is an imbalance between exploration and exploitation ability, and it is easy to fall into the problem of local optimal solution. The purpose of this study is to improve the optimization performance of dung beetle algorithm and explore its engineering application value.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Department of Food Science, College of Agriculture and Veterinary Medicine, United Arab Emirates University (UAEU), Al Ain, 15551, United Arab Emirates. Electronic address:
The increased use of dairy fat in various applications is facilitated by its fractionation into hard and liquid fractions. Herein, the fractionation of bovine ghee and buffalo ghee was investigated, and triacylglycerol (TAG) profiles of milk fat fractions and 2 categories of infant formulas fat were quantified by using ultra-performance convergence chromatography quadrupole time-of-flight mass spectrometry (UPC-Q-TOF-MS) using carbon dioxide as the mobile phase. Furthermore, the thermal behavior of the different samples was evaluated, and tocopherols content was also quantified.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Respiratory and Critical Care Medicine, The First Medical Centre of Chinese PLA General Hospital, Haidian District, Beijing, China.
Moth Flame Optimization (MFO) is a swarm intelligence algorithm inspired by the nocturnal flight mode of moths, and it has been widely used in various fields due to its simple structure and high optimization efficiency. Nonetheless, a notable limitation is its susceptibility to local optimality because of the absence of a well-balanced exploitation and exploration phase. Hence, this paper introduces a novel enhanced MFO algorithm (BWEMFO) designed to improve algorithmic performance.
View Article and Find Full Text PDFACS EST Air
January 2025
Department of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, United States.
Wildfires at the wildland-urban interface (WUI) have been increasing in frequency over recent decades due to increased human development and shifting climatic patterns. The work presented here focuses on the impacts of a WUI fire on indoor air using field measurements of volatile organic compounds (VOCs) by Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-TOF-MS). We found a slow decrease in VOC mixing ratios over the course of roughly 5 weeks starting 10 days after the fire, and those levels decreased to ∼20% of the initial indoor value on average.
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