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Mosquitoes integrate visual and acoustic cues to mediate conspecific interactions in swarms.
Curr Biol
September 2024
Department of Biology, University of Washington, Seattle, WA 98195, USA. Electronic address:
Male mosquitoes form aerial aggregations, known as swarms, to attract females and maximize their chances of finding a mate. Within these swarms, individuals must be able to recognize potential mates and navigate the social environment to successfully intercept a mating partner. Prior research has almost exclusively focused on the role of acoustic cues in mediating the male mosquito's ability to recognize and pursue females.
View Article and Find Full Text PDFBeehive Smart Detector Device for the Detection of Critical Conditions That Utilize Edge Device Computations and Deep Learning Inferences.
Sensors (Basel)
August 2024
Laboratory Team of Distributed MicroComputer Systems, Department of Mathematics, University of Ioannina, University Campus, 45110 Ioannina, Greece.
This paper presents a new edge detection process implemented in an embedded IoT device called Bee Smart Detection node to detect catastrophic apiary events. Such events include swarming, queen loss, and the detection of Colony Collapse Disorder (CCD) conditions. Two deep learning sub-processes are used for this purpose.
View Article and Find Full Text PDFSynergistic olfactory processing for social plasticity in desert locusts.
Nat Commun
June 2024
Department of Biology, University of Konstanz, 78464, Konstanz, Germany.
Desert locust plagues threaten the food security of millions. Central to their formation is crowding-induced plasticity, with social phenotypes changing from cryptic (solitarious) to swarming (gregarious). Here, we elucidate the implications of this transition on foraging decisions and corresponding neural circuits.
View Article and Find Full Text PDFA novel multi-strategy ameliorated quasi-oppositional chaotic tunicate swarm algorithm for global optimization and constrained engineering applications.
Heliyon
May 2024
Department of Mathematics, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Over the last few decades, a number of prominent meta-heuristic algorithms have been put forth to address complex optimization problems. However, there is a critical need to enhance these existing meta-heuristics by employing a variety of evolutionary techniques to tackle the emerging challenges in engineering applications. As a result, this study attempts to boost the efficiency of the recently introduced bio-inspired algorithm, the Tunicate Swarm Algorithm (TSA), which is motivated by the foraging and swarming behaviour of bioluminescent tunicates residing in the deep sea.
View Article and Find Full Text PDFField bands of marching locust juveniles show carbohydrate, not protein, limitation.
Curr Res Insect Sci
September 2023
School of Sustainability, Arizona State University, Tempe, AZ, United States.
Locusts are grasshoppers that migrate and devastate food security, yet little is known about the nutritional needs of marching bands in nature. While it has been hypothesized that protein limitation promotes locust marching behavior, migration is fueled by dietary carbohydrates. We studied South American Locust () bands at eight sites across Argentina, Bolivia, and Paraguay.
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