Airplane wing deformation is an important element of aerodynamic characteristics, structure design, and fatigue analysis for aircraft manufacturing, as well as a main test content of certification regarding flutter for airplanes. This paper presents a novel real-time detection method for wing deformation and flight flutter detection by using three-dimensional speckle image correlation technology. Speckle patterns whose positions are determined through the vibration characteristic of the aircraft are coated on the wing; then the speckle patterns are imaged by CCD cameras which are mounted inside the aircraft cabin. In order to reduce the computation, a matching technique based on Geodetic Systems Incorporated coded points combined with the classical epipolar constraint is proposed, and a displacement vector map for the aircraft wing can be obtained through comparing the coordinates of speckle points before and after deformation. Finally, verification experiments containing static and dynamic tests by using an aircraft wing model demonstrate the accuracy and effectiveness of the proposed method.
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Sci Robot
January 2025
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Aerial insects are exceptionally agile and precise owing to their small size and fast neuromotor control. They perform impressive acrobatic maneuvers when evading predators, recovering from wind gust, or landing on moving objects. Flapping-wing propulsion is advantageous for flight agility because it can generate large changes in instantaneous forces and torques.
View Article and Find Full Text PDFMicrobiol Resour Announc
January 2025
Biological Control of Pests Research Unit, USDA-ARS, Stoneville, Mississippi, USA.
Deformed wing virus (DWV) can cause a major disease in honeybees worldwide and has been detected in many other arthropods (S. J. Martin and L.
View Article and Find Full Text PDFIntroduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFInt J Cardiovasc Imaging
January 2025
Michigan Medicine, University Hospital, Floor B1 Reception C 1500 E Medical Center Dr SPC 5030, Ann Arbor, MI, 48109, USA.
Anderson-Fabry disease (AFD) is a X-linked lysosomal storage disorder that can result in cardiac dysfunction including left ventricular hypertrophy (LVH) and conduction abnormalities (Frontiers in cardiovascular medicine vol. 10) [1]. The manifestations of AFD in women may be isolated to one organ and occur late in life due to the random inactivation of the X chromosome.
View Article and Find Full Text PDFBMC Biol
January 2025
Department of Agricultural Sciences, University of Naples Federico II, Naples, Italy.
Background: Deformed wing virus (DWV) is a major honey bee pathogen that is actively transmitted by the parasitic mite Varroa destructor and plays a primary role in Apis mellifera winter colony losses. Despite intense investigation on this pollinator, which has a unique environmental and economic importance, the mechanisms underlying the molecular interactions between DWV and honey bees are still poorly understood. Here, we report on a group of honey bee proteins, identified by mass spectrometry, that specifically co-immunoprecipitate with DWV virus particles.
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