Relevant bibliographies by topics / Condition-dependent signals

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Condition-dependent signals'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Condition-dependent signals"

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Buchanan, Katherine L. "Stress and the evolution of condition-dependent signals." Trends in Ecology & Evolution 15, no. 4 (2000): 156–60. http://dx.doi.org/10.1016/s0169-5347(99)01812-1.

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Schantz, Torbjörn von, Staffan Bensch, Mats Grahn, Dennis Hasselquist, and Håkan Wittzell. "Good genes, oxidative stress and condition–dependent sexual signals." Proceedings of the Royal Society of London. Series B: Biological Sciences 266, no. 1414 (1999): 1–12. http://dx.doi.org/10.1098/rspb.1999.0597.

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Garratt, Michael, and Robert C. Brooks. "Oxidative stress and condition-dependent sexual signals: more than just seeing red." Proceedings of the Royal Society B: Biological Sciences 279, no. 1741 (2012): 3121–30. http://dx.doi.org/10.1098/rspb.2012.0568.

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The links between fitness, health, sexual signals and mate choice are complex and subject to ongoing study. In 1999, von Schantz et al . made the valuable suggestion that oxidative stress may be an important missing piece of this complex puzzle. Their suggestion has been enthusiastically tested, with over 300 studies citing their paper, but most effort has concerned carotenoid-based (and to a lesser extent melanin-based) visual signals, predominantly in birds and fishes. Today, we know a great deal more about oxidative stress and related physiology, in both a pathological and regulatory sense,
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Hill, Geoffrey E. "Condition-dependent traits as signals of the functionality of vital cellular processes." Ecology Letters 14, no. 7 (2011): 625–34. http://dx.doi.org/10.1111/j.1461-0248.2011.01622.x.

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Brepson, Loïc, Yann Voituron, and Thierry Lengagne. "Condition-dependent ways to manage acoustic signals under energetic constraint in a tree frog." Behavioral Ecology 24, no. 2 (2012): 488–96. http://dx.doi.org/10.1093/beheco/ars189.

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Galeotti, P., R. Sacchi, M. Fasola, D. Pellitteri Rosa, M. Marchesi, and D. Ballasina. "Courtship displays and mounting calls are honest, condition-dependent signals that influence mounting success in Hermann's tortoises." Canadian Journal of Zoology 83, no. 10 (2005): 1306–13. http://dx.doi.org/10.1139/z05-130.

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Like other terrestrial tortoises, the courtship behaviour of Hermann's tortoises (Testudo hermanni Gmelin, 1789) is based on a multiple signalling system that involves visual, olfactory, tactile, and acoustic signals. In this study, we analysed relationships between male morphology, hematological profile, courtship intensity, vocalizations, and mounting success in Hermann's tortoises breeding in semi-natural enclosures to investigate the effects of male condition on signals exhibited during courtship and on their mounting success. Results showed that mounting success of Hermann's tortoise male
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Burmeister, Sabrina S., Verónica G. Rodriguez Moncalvo, and Karin S. Pfennig. "Differential encoding of signals and preferences by noradrenaline in the anuran brain." Journal of Experimental Biology 223, no. 18 (2020): jeb214148. http://dx.doi.org/10.1242/jeb.214148.

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ABSTRACTSocial preferences enable animals to selectively interact with some individuals over others. One influential idea for the evolution of social preferences is that preferred signals evolve because they elicit greater neural responses from sensory systems. However, in juvenile plains spadefoot toad (Spea bombifrons), a species with condition-dependent mating preferences, responses of the preoptic area, but not of the auditory midbrain, mirror adult social preferences. To examine whether this separation of signal representation from signal valuation generalizes to other anurans, we compare
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Baskar, P., S. Padmanabhan, and M. Syed Ali. "Novel delay-dependent stability condition for mixed delayed stochastic neural networks with leakage delay signals." International Journal of Computer Mathematics 96, no. 6 (2018): 1107–20. http://dx.doi.org/10.1080/00207160.2018.1439581.

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Mas, Flore, and Mathias Kölliker. "Differential effects of offspring condition-dependent signals on maternal care regulation in the European earwig." Behavioral Ecology and Sociobiology 65, no. 2 (2010): 341–49. http://dx.doi.org/10.1007/s00265-010-1051-8.

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Bittner, Kai, and Hans Georg Brachtendorf. "Optimal frequency sweep method in multi-rate circuit simulation." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 4 (2014): 1189–97. http://dx.doi.org/10.1108/compel-11-2012-0346.

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Purpose – Radio-frequency circuits often possess a multi-rate behavior. Slow changing baseband signals and fast oscillating carrier signals often occur in the same circuit. Frequency modulated signals pose a particular challenge. The paper aims to discuss these issues. Design/methodology/approach – The ordinary circuit differential equations are first rewritten by a system of (multi-rate) partial differential equations in order to decouple the different time scales. For an efficient simulation the paper needs an optimal choice of a frequency-dependent parameter. This is achieved by an addition
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Dissertations / Theses on the topic "Condition-dependent signals"

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Tesař, David. "Signalizace personality a stresové odpovědi prostřednictvím druhotných pohlavních znaků u sociálně monogamního pěvce." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-405728.

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Secondary sexual traits play an irreplaceable role in the reproduction of a range of animals and are used as quality and fitness sensors during pairing of individuals. Expression of these traits, ornamentes, can correlated with an individual's personal and behavioral strategies. In the case of melanin ornaments, not only the relationships with personal individuals are considered, but there is the possible connections with stress resistance and the level of stress responses too. This hypothesis is based on the pleiotropic effect of the melanocortin system, which can be used during melanogenesis
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Books on the topic "Condition-dependent signals"

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Kockelman, Paul. Enemies, Parasites, and Noise. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190636531.003.0002.

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This chapter begins by outlining some common properties of channels, infrastructure, and institutions. It connects and critiques the assumptions and interventions of three influential intellectual traditions: cybernetics (via Claude Shannon), linguistics and anthropology (via Roman Jakobson), and actor-network theory (via Michel Serres). By developing the relation between Serres’s notion of the parasite and Peirce’s notion of thirdness, it theorizes the role of those creatures who live in and off infrastructure: not just enemies, parasites, and noise, but also pirates, trolls, and internet ser
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Book chapters on the topic "Condition-dependent signals"

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Kalenscher, Tobias, Lisa-Maria Schönfeld, Sebastian Löbner, et al. "Rat Ultrasonic Vocalizations as Social Reinforcers—Implications for a Multilevel Model of the Cognitive Representation of Action and Rats’ Social World." In Language, Cognition, and Mind. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50200-3_19.

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AbstractRats are social animals. For example, rats exhibit mutual-reward preferences, preferring choice alternatives that yield a reward to themselves as well as to a conspecific, over alternatives that yield a reward only to themselves. We have recently hypothesized that such mutual-reward preferences might be the result of reinforcing properties of ultrasonic vocalizations (USVs) emitted by the conspecifics. USVs in rats serve as situation-dependent socio-affective signals with important communicative functions. To test this possibility, here, we trained rats to enter one of two compartments in a T-maze setting. Entering either compartment yielded identical food rewards as well as playback of pre-recorded USVs either in the 50-kHz range, which we expected to be appetitive or therefore a potential positive reinforcer, or in the 22-kHz range predicted to be aversive and therefore a potential negative reinforcer. In three separate experimental conditions, rats chose between compartments yielding either 50-kHz USVs versus a non-ultrasonic control stimulus (condition 1), 22-kHz USVs versus a non-ultrasonic control stimulus (condition 2), or 50-kHz versus 22-kHz USVs (condition 3). Results show that rats exhibit a transient preference for the 50-kHz USV playback over non-ultrasonic control stimuli, as well as an initial avoidance of 22-kHz USV relative to non-ultrasonic control stimuli on trend-level. As rats progressed within session through trials, and across sessions, these preferences diminished, in line with previous findings. These results support our hypothesis that USVs have transiently motivating reinforcing properties, putatively acquired through association processes, but also highlight that these motivating properties are context-dependent and modulatory, and might not act as primary reinforcers when presented in isolation. We conclude this article with a second part on a multilevel cognitive theory of rats’ action and action learning. The “cascade” approach assumes that rats’ cognitive representations of action may be multilevel. A basic physical level of action may be invested with higher levels of action that integrate emotional, motivational, and social significance. Learning in an experiment consists in the cognitive formation of multilevel action representations. Social action and interaction in particular are proposed to be cognitively modeled as multilevel. Our results have implications for understanding the structure of social cognition, and social learning, in animals and humans.
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Biesuz, Raffaela, and Lisa Rita Magnaghi. "Role of Biogenic Amines in Protein Foods Sensing: Myths and Evidence." In Meat and Nutrition. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96279.

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Myriads of sensors have been proposed to signal the spoilage of a piece of meat. It is assumed and taken for granted that biogenic amines, BAs, harmful by-product indicating the last phase of degradation, must be present in the volatilome developed over the decaying meat. This chapter aims to clearly explain BAs’ role in protein food spoilage: undoubtedly produced inside the meat, never present in the headspace, where sensors are displayed. The BAs presence in the headspace represents a sort of myth. It is plenty of evidence that BAs cannot be present in the volatilome over the meat. The BAs’ volatility is pH-dependent. As shown by their protonation constants, the strongly buffered pH of proteinaceous food prevents their vapour phase transition. The chemical analyses made at the same degradation time, on the meat and the headspace above the meat, corroborate the real composition of the volatilome, demonstrating the BAs absence. The sensors here described, designed on volatilome evidence, succeed to follow the entire process, from the SAFE condition to the WARNING and the HAZARD. The final prototype works reliably on real protein foods (i.e. chicken, beef pork and fish), not enriched and stored at the home condition.
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"Cardiac assessment." In Oxford Handbook of Cardiac Nursing, edited by Kate Olson. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198832447.003.0002.

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It is essential that the cardiac nurse can carry out a comprehensive cardiac assessment of their patient. The nursing assessment aims to describe the patient’s condition and help determine an accurate diagnosis, so that an effective and timely clinical management plan is implemented. The focus of the initial assessment varies according to the setting and clinical presentation of the patient. However, the priority is always to determine whether the patient is haemodynamically stable, whether they are suffering from an acute cardiac event that would benefit from time-dependent therapy, and the need for symptom management. A thorough cardiac assessment requires the nurse to use a wide range of interpersonal, observational, and technical skills. Additionally, the nurse needs an in-depth knowledge of cardiac anatomy, physiology, and pathophysiology to determine the significance of the findings. This chapter outlines how to assess key symptoms and signs of cardiac disease. Symptoms are things that the patient reports as troublesome issues; signs are associated physiological changes that the health professional might discover during the course of their assessment.
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"Cardiac assessment." In Oxford Handbook of Cardiac Nursing, edited by Kate Olson. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199651344.003.0002.

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This chapter outlines how to assess key symptoms and signs of cardiac disease. Symptoms are things that the patient reports as troublesome issues; signs are associated physiological changes that the health professional might discover during the course of their assessment. It is essential that the cardiac nurse can carry out a comprehensive cardiac assessment of their patient. The nursing assessment aims to describe the patient’s condition and help determine an accurate diagnosis, so that an effective and timely clinical management plan is implemented. The focus of the initial assessment varies according to the setting and clinical presentation of the patient. However, the priority is always to determine whether the patient is haemodynamically stable, whether they are suffering from an acute cardiac event that would benefit from time-dependent therapy, and the need for symptom management. A thorough cardiac assessment requires the nurse to use a wide range of interpersonal, observational, and technical skills. Additionally, the nurse needs an in-depth knowledge of cardiac anatomy, physiology, and pathophysiology to determine the significance of the findings.
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Kondoh, Michio, Kazutaka Kawatsu, Yutaka Osada, and Masayuki Ushio. "A data-driven approach to complex ecological systems." In Theoretical Ecology. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198824282.003.0008.

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Interspecific interaction has been a key concept in ecology to understand the structure and dynamics of ecological communities. Important, yet often overlooked, is that an interspecific interaction is a product of multiple biological processes at various temporal and spatial scales, including changes in demographic parameters such as birth and death rates, behavioral responses such as inter-habitat movements, and hiding and evolutionary responses in a longer temporal scale. Each of those mechanisms, according to ecological theory, potentially affects population dynamics and modifies the community-level properties such as community complexity and stability in different manners. Here, a question arises: how does the net interspecific interaction, which is made up with those multiple processes, look like in the real nature? How do changes depend on the temporal or spatial scale? In this chapter we show that a data-driven approach using demographic time series is a powerful tool to answer those questions. According to nonlinear dynamics theory, a time series of a variable contains information about the dynamic system that the variable belongs to. We can use this fact to identify interspecific interactions, quantify their signs and strengths and evaluate its effect to community-level dynamic properties. Some results we got by applying the time-series analysis based on nonlinear dynamics theory (called Empirical Dynamic Modeling) to empirical demographic data, experimental or observational, will be presented, which will demonstrate how fluctuating and condition-dependent the real interactions are and reveal how those interactions give rise to the dynamic properties at higher organization levels.
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Conference papers on the topic "Condition-dependent signals"

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Gryllias, Konstantinos, Simona Moschini, and Jerome Antoni. "Application of Cyclo-Non-Stationary Indicators for Bearing Monitoring Under Varying Operating Conditions." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64443.

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Condition monitoring assesses the operational health of rotating machinery, in order to provide early and accurate warning of potential failures such that preventative maintenance actions may be taken. To achieve this target, manufacturers start taking on the responsibilities of engine condition monitoring, by embedding health monitoring systems within each engine unit and prompting maintenance actions when necessary. Several types of condition monitoring are used including oil debris monitoring, temperature monitoring and vibration monitoring. Among them, vibration monitoring is the most wide
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Zhen, Ling, and Yassin A. Hassan. "Wavelet Spatial Energy Spectrums Studies on Drag Reduction by Microbubble Injection." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89150.

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In this study, continuous wavelet transforms and spatial correlation techniques are employed to determine the space-localized wavenumber energy spectrum of the velocity signals in turbulent channel flow. The flow conditions correspond to single phase flow and microbubbles injected two phase flow. The wavelet energy spectrums demonstrate that the wavenumber (eddy size) content of the velocity signals is not only space-dependent but also microbubbles can impact the eddy size content. Visual observations of the wavelet energy spectrum spatial distribution was realized by using Particle Image Velo
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Silvestri, Paolo, Silvia Marelli, and Massimo Capobianco. "Incipient Surge Analysis in Time and Frequency Domain for Centrifugal Compressors." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59501.

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Abstract The use of centrifugal compressors has been increasing tremendously in the last decade as they are a key component in the present energy scenario both in the modern internal combustion engine design and in advanced cycles and innovative plant layouts as fuel cell systems. Instability phenomena limit the operating range of the whole compressor system, especially during fast transients. The target is therefore to extend the minimum flow limit in order to improve the operability of each unit, while avoiding compressor surge operation and guaranteeing safe operation. For this reason, it i
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Lin, Po Ting, and Kuan-Ting Chen. "Estimation of Reliable Replacement Time of Cutting Tool in Tooling Machines Using the Energy-Based Reliability Model (ERM)." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34636.

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Real-time monitoring systems have been developed for tooling machine for the purpose of investigating the time-dependent cutting conditions, to detect instantaneous events, and to estimate life of cutting tools and the machine itself. An Energy-based Reliability Model (ERM) has been developed for real-time monitoring of cutting conditions. A standardized inspection process was defined and the two most sensible signals, vibrational signals and temperature increments, are collected to monitor the accumulation of dissipated energy during the tooling processes. The ERM then computes the normalized
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Hui, Kar Hoou, Meng Hee Lim, and Salman Leong. "Dempster-Shafer-Based Sensor Fusion Approach for Machinery Fault Diagnosis." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3715.

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Artificial intelligence (AI) has played an increasingly important role in condition monitoring and machinery fault diagnosis in power generation plants. However, the accuracy and reliability of any AI-based machinery fault diagnosis is highly dependent on the quality and quantity of the input data fed to the AI model. The hypothesis of this paper is that AI-based fault diagnosis can be further improved by taking into account all the available sensor inputs of the machine. In short, the more sensor inputs fed into the AI model, the more accurate and reliable the outcome of the fault diagnosis.
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Ajanki, Antti, Janne Nikkila, and Samuel Kaski. "Discovering Condition-Dependent Bayesian Networks for Gene Regulation." In 2007 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2007. http://dx.doi.org/10.1109/gensips.2007.4365846.

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Zeng, Zhen, Jianzong Wang, Ning Cheng, and Jing Xiao. "LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414710.

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Santos, Carlos, Felipe Espinosa, Enrique Santiso, and Miguel Martinez-Rey. "A simplified event-triggering condition non-dependent on measurement error." In 2017 3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP). IEEE, 2017. http://dx.doi.org/10.1109/ebccsp.2017.8022823.

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Simoni, D., V. Yepmo, P. Zunino, M. Ubaldi, D. Lengani, and F. Bertini. "Turbine Cascade Profile Loss Sensitivity to Incoming Wake Parameters: Effects of Reduced Frequency, Wake Momentum Defect and Axial Gap." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91226.

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Abstract In the present work the profile losses of a highly loaded low pressure turbine cascade, operating under realistic unsteady conditions, have been measured for different incoming wake parameters. A moving bar system has been used for wake generation, allowing the variation of bar diameter, bar count and axial gap between the bars and the cascade leading edge. The overall test matrix spans three different bar diameters, three different reduced frequencies and two axial gaps, for a total of 18 different conditions tested. For each of them, the time-dependent cascade inflow has been charac
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González, Claudia Aide, Juan Carlos Jáuregui, Oscar De Santiago, and Víctor Solórzano. "Estimation of the Rotordynamic Coefficients of a Compressor Mounted on Gas Bearings Using the Phase Diagram and the Unbalance Response." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42735.

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This paper presents a novel method for identifying the dynamic parameters of a gas bearing, whose force coefficients are strong functions of frequency. The method is based on the analysis of the phase diagram with the model assuming a mass-damper-spring system with time-dependent force coefficients. Usually, it is necessary a controlled mechanism to find the transfer function, this condition limits the application of the method. On the other hand, estimation of the damping and stiffness parameters under real loading is very cumbersome and requires a special care on identifying the excitation f
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