Size is a key to locomotion. In insects, miniaturization leads to fundamental changes in wing structure and kinematics, making the study of flight in the smallest species important for basic biology and physics, and, potentially, for applied disciplines. However, the flight efficiency of miniature insects has never been studied, and their speed and maneuverability have remained unknown. We report a comparative study of speeds and accelerations in the smallest free-living insects, featherwing beetles (Coleoptera: Ptiliidae), and in larger representatives of related groups of Staphylinoidea. Our results show that the average and maximum flight speeds of larger ptiliids are extraordinarily high and comparable to those of staphylinids that have bodies 3 times as long. This is one of the few known exceptions to the "Great Flight Diagram," according to which the flight speed of smaller organisms is generally lower than that of larger ones. The horizontal acceleration values recorded in Ptiliidae are almost twice as high as even in Silphidae, which are more than an order of magnitude larger. High absolute and record-breaking relative flight characteristics suggest that the unique morphology and kinematics of the ptiliid wings are effective adaptations to flight at low Reynolds numbers. These results are important for understanding the evolution of body size and flight in insects and pose a challenge to designers of miniature biomorphic aircraft.
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http://dx.doi.org/10.1073/pnas.2012404117 | DOI Listing |
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November 2024
Second Target Station, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
We introduce a computational framework that integrates artificial intelligence (AI), machine learning, and high-performance computing to enable real-time steering of neutron scattering experiments using an edge-to-exascale workflow. Focusing on time-of-flight neutron event data at the Spallation Neutron Source, our approach combines temporal processing of four-dimensional neutron event data with predictive modeling for multidimensional crystallography. At the core of this workflow is the Temporal Fusion Transformer model, which provides voxel-level precision in predicting 3D neutron scattering patterns.
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November 2024
Otolaryngology - Head and Neck Surgery, Konkuk University Medical Center, Seoul, KOR.
A 31-year-old woman presented with intermittent otalgia in the right ear, reporting severe pain during flights. The patient denied performing habitual Valsalva maneuvers. Otoendoscopic examination revealed hyperectatic herniation of the posterior portion of the right tympanic membrane (TM).
View Article and Find Full Text PDFInfect Drug Resist
December 2024
Department of Laboratory Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, People's Republic of China.
Objective: is usually found in urogenital tract infections and is associated with several extra-genitourinary infections, including septic arthritis, bacteremia, and meningitis. Here, we report a rare case of induced bloodstream infection with thoracic inflammation in a surgical patient.
Methods: A 56-year-old male who underwent surgery for multiple pelvic and rib fractures developed fever, pleural effusion, and wound exudation despite receiving prophylactic anti-infection treatment with cefotiam.
Infect Drug Resist
December 2024
Department of Laboratory Medicine, Xianyang Hospital of Yan' an University, Xianyang, People's Republic of China.
This report details an uncommon occurrence of chronic endophthalmitis following cataract surgery attributed to an infection by Trichosporon inkin (T. inkin). The infection was identified through MALDI-TOF mass spectrometry along with sequencing analysis.
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April 2024
Department of Atmospheric and Oceanic Science, University of Wisconsin, Madison, WI 53706 USA.
Accurate diagnosis of regional atmospheric and surface energy budgets is critical for understanding the spatial distribution of heat uptake associated with the Earth's energy imbalance (EEI). This contribution discusses frameworks and methods for consistent evaluation of key quantities of those budgets using observationally constrained data sets. It thereby touches upon assumptions made in data products which have implications for these evaluations.
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