scholarly journals Why aren't warning signals everywhere? On the prevalence of aposematism and mimicry in communities

2021 ◽  
Author(s):  
David W. Kikuchi ◽  
Marie E. Herberstein ◽  
Michael Barfield ◽  
Robert D. Holt ◽  
Johanna Mappes
Keyword(s):  
Warning Signals

FPGA Based Vehicle to Vehicle Communication in Spartan 3E

2020 ◽  
Vol 8 ◽  
pp. 14-21
Author(s):  
Surya Man Koju ◽  
Nikil Thapa
Keyword(s):  
Signal Processing ◽  
Autonomous Vehicle ◽  
Processing Unit ◽  
Warning Signals ◽  
Vehicle Communication ◽  
Digital Vlsi ◽  
Vehicle To Vehicle ◽  
Vehicle Operation ◽  
Vehicle Technology ◽  
The Voice

This paper presents economic and reconfigurable RF based wireless communication at 2.4 GHz between two vehicles. It implements digital VLSI using two Spartan 3E FPGAs, where one vehicle receives the information of another vehicle and shares its own information to another vehicle. The information includes vehicle’s speed, location, heading and its operation, such as braking status and turning status. It implements autonomous vehicle technology. In this work, FPGA is used as central signal processing unit which is interfaced with two microcontrollers (ATmega328P). Microcontroller-1 is interfaced with compass module, GPS module, DF Player mini and nRF24L01 module. This microcontroller determines the relative position and the relative heading as seen from one vehicle to another. Microcontroller-2 is used to measure the speed of vehicle digitally. The resulting data from these microcontrollers are transmitted separately and serially through UART interface to FPGA. At FPGA, different signal processing such as speed comparison, turn comparison, distance range measurement and vehicle operation processing, are carried out to generate the voice announcement command, warning signals, event signals, and such outputs are utilized to warn drivers about potential accidents and prevent crashes before event happens.

Batesian mimicry and masquerade

2018 ◽  
Author(s):  
Graeme D. Ruxton ◽  
William L. Allen ◽  
Thomas N. Sherratt ◽  
Michael P. Speed
Keyword(s):  
Batesian Mimicry ◽  
Warning Signals ◽  
Potential Predator ◽  
Bird Droppings ◽  
Palatable Species ◽  
Compare And Contrast

This chapter concerns Batesian mimicry, which is the resemblance of a palatable species to an unpalatable or otherwise unprofitable species. Often these unprofitable models have warning signals, which the mimic has evolved to copy. The chapter also considers another well-known form of deception, namely masquerade, which is the resemblance of a palatable species to the cues of an object of no inherent interest to a potential predator such as leaves, thorns, sticks, stones, or bird droppings. Batesian mimicry and masquerade share many properties, and both can be considered examples of ‘protective deceptive mimicry’. We begin by briefly reviewing some well-known examples of protective deceptive mimicry. We then compare and contrast the various theories that have been proposed to understand them. Next, we examine the evidence for the phenomenon and its predicted properties, and finally we address several important questions and controversies, many of which remain only partly resolved.

Introduction

2018 ◽  
Author(s):  
Graeme D. Ruxton ◽  
William L. Allen ◽  
Thomas N. Sherratt ◽  
Michael P. Speed
Keyword(s):  
Evolutionary Ecology ◽  
The State ◽  
Warning Signals ◽  
The Many

In 2004, the first edition of ‘Avoiding Attack: The Evolutionary Ecology of Crypsis, Warning Signals, and Mimicry’ by Ruxton et al. was published. The book aimed to provide a systematic and up-to-date review and synthesis of widespread anti-predator defences. In it, we focussed on sensorially mediated defences and the many factors that underpin these adaptations, aiming to set out the state-of-understanding in the fascinating world of anti-predator adaptations, and highlight which topics within the field seem most ripe for further investigation....

scholarly journals Southeast Asian clearwing moths buzz like their model bees

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Marta Skowron Volponi ◽  
Luca Pietro Casacci ◽  
Paolo Volponi ◽  
Francesca Barbero
Keyword(s):  
Slow Motion ◽  
Southeast Asian ◽  
Batesian Mimicry ◽  
Evolutionary Models ◽  
Acoustic Parameters ◽  
Warning Signals ◽  
Visual Model ◽  
Flying Insects

Abstract Background The endless struggle to survive has driven harmless species to evolve elaborate strategies of deceiving predators. Batesian mimicry involves imitations of noxious species’ warning signals by palatable mimics. Clearwing moths (Lepidoptera: Sesiidae), incapable of inflicting painful bites or stings, resemble bees or wasps in their morphology and sometimes imitate their behaviours. An entirely unexplored type of deception in sesiids is acoustic mimicry. We recorded the buzzing sounds of two species of Southeast Asian clearwing moths, Heterosphecia pahangensis and H. hyaloptera and compared them to their visual model bee, Tetragonilla collina, and two control species of bees occurring in the same habitat. Recordings were performed on untethered, flying insects in nature. Results Based on eight acoustic parameters and wingbeat frequencies calculated from slow-motion videos, we found that the buzzes produced by both clearwing moths highly resemble those of T. collina but differ from the two control species of bees. Conclusions Acoustic similarities to bees, alongside morphological and behavioural imitations, indicate that clearwing moths display multimodal mimicry of their evolutionary models.

scholarly journals Efficacy of early warning signals and spectral periodicity for predicting transitions in bipolar patients: An actigraphy study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yoram K. Kunkels ◽  
Harriëtte Riese ◽  
Stefan E. Knapen ◽  
Rixt F. Riemersma - van der Lek ◽  
Sandip V. George ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Early Warning ◽  
Type I ◽  
Warning Signals ◽  
Early Warning Signals ◽  
Research Fields ◽  
Mood Episode ◽  
Final Sample ◽  
Bipolar Patients ◽  
Direction Opposite

AbstractEarly-warning signals (EWS) have been successfully employed to predict transitions in research fields such as biology, ecology, and psychiatry. The predictive properties of EWS might aid in foreseeing transitions in mood episodes (i.e. recurrent episodes of mania and depression) in bipolar disorder (BD) patients. We analyzed actigraphy data assessed during normal daily life to investigate the feasibility of using EWS to predict mood transitions in bipolar patients. Actigraphy data of 15 patients diagnosed with BD Type I collected continuously for 180 days were used. Our final sample included eight patients that experienced a mood episode, three manic episodes and five depressed episodes. Actigraphy data derived generic EWS (variance and kurtosis) and context-driven EWS (autocorrelation at lag-720) were used to determine if these were associated to upcoming bipolar episodes. Spectral analysis was used to predict changes in the periodicity of the sleep/wake cycle. The study procedures were pre-registered. Results indicated that in seven out of eight patients at least one of the EWS did show a significant change-up till four weeks before episode onset. For the generic EWS the direction of change was always in the expected direction, whereas for the context-driven EWS the observed effect was often in the direction opposite of what was expected. The actigraphy data derived EWS and spectral analysis showed promise for the prediction of upcoming transitions in mood episodes in bipolar patients. Further studies into false positive rates are suggested to improve effectiveness for EWS to identify upcoming bipolar episode onsets.

scholarly journals Warning Signals of Adverse Interactions between Climate Change and Native Stressors in British Columbia Forests

Forests ◽  
2017 ◽  
Vol 8 (8) ◽  
pp. 280 ◽  
Author(s):  
Alex Woods ◽  
K. Coates ◽  
Martin Watts ◽  
Vanessa Foord ◽  
Erin Holtzman
Keyword(s):  
Climate Change ◽  
British Columbia ◽  
Warning Signals

“Damage Risk Criteria” and “Warning Signals”

1954 ◽  
Vol 26 (3) ◽  
pp. 453-453 ◽  
Author(s):  
Walter A. Rosenblith ◽  
T. F. Hueter
Keyword(s):  
Warning Signals ◽  
Risk Criteria ◽  
Damage Risk
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