scholarly journals Calling songs of Neotropical katydids (Orthoptera: Tettigoniidae) from Panama

2020 ◽  
Vol 29 (2) ◽  
pp. 137-201
Author(s):  
Hannah M. ter Hofstede ◽  
Laurel B. Symes ◽  
Sharon J. Martinson ◽  
Tony Robillard ◽  
Paul Faure ◽  
...  
Keyword(s):  
Communication Systems ◽  
Animal Communication ◽  
Sampling Rate ◽  
Peak Frequency ◽  
Future Research ◽  
Detailed Data ◽  
High Sampling Rate ◽  
Data Acquisition Board ◽  
Basic Studies ◽  
And Behavior

Understanding the ecology and evolution of animal communication systems requires detailed data on signal structure and variation across species. Here, we describe the male acoustic signals of 50 species of Neotropical katydids (Orthoptera: Tettigoniidae) from Panama, with the goal of providing data and recordings for future research on katydid communication, evolution, ecology, and conservation. Male katydids were recorded individually using an ultrasound-sensitive microphone and high-sampling rate data acquisition board to capture both audible and ultrasonic components of calls. Calls varied enormously in duration, temporal patterning, peak frequency, and bandwidth both across and within subfamilies. We confirm previous studies showing that katydid species within the subfamily Pseudophyllinae produced short calls (<250 ms) at long intervals and we confirm that this is true for species in the subfamily Phaneropterinae as well. Species in the Conocephalinae, on the other hand, typically produced highly repetitive calls over longer periods of time. However, there were exceptions to this pattern, with a few species in the Conocephalinae producing very short calls at long intervals, and some species in the Phaneropterinae producing relatively long calls (1–6 s) or calling frequently. Our results also confirm previous studies showing a relationship between katydid size and the peak frequency of the call, with smaller katydids producing higher frequency calls, but the slope of this relationship differed with subfamily. We discuss the value of documenting the diversity in katydid calls for both basic studies on the ecology, evolution, and behavior of these species as well as the potential conservation benefits for bioacoustics monitoring programs.

scholarly journals Brief Introduce of Planetary K-index: An Indicator of Geomagnetic Storms

2021 ◽  
Vol 2 (5) ◽  
pp. 57-58
Author(s):  
Jyh-Woei Lin
Keyword(s):  
Geomagnetic Activity ◽  
Geomagnetic Storms ◽  
Sampling Rate ◽  
Future Research ◽  
Magnetic Observatory ◽  
Geomagnetic Index ◽  
K Index ◽  
High Sampling Rate ◽  
Component Field ◽  
K Scale

The planetary K-index (Kp index) was a geomagnetic index in the H-component field. This index was calculated from data collected by a network of 13 ground-based magnetometer stations at mid-latitude locations from the International Real-time Magnetic Observatory Network (INTERMAGNET). The magnitudes of Kp index could indicate geomagnetic activity using the integer K-scale from 0 to 9 without dimension because the K-scale was estimated using the quasi-logarithms algorithm. The Kp index indicated geomagnetic storms under the condition of K-scale＞4. The three-hourly Kp index has been commonly used. The three-hourly Kp index was relatively stable for low‐variability geomagnetic activity. The hourly Kp index represented the level of auroral absorption with a more accurate characterization. For future research, the Kp index with a high sampling rate (e.g., ＜1 hour) could be considered, so that a very accurate characterization was characterized the more detailed geomagnetic activity of global region.

Comparative Perspectives on Communication in Human and Non-Human Primates

2018 ◽  
pp. 278-308
Author(s):  
Alan K.S. Nielsen ◽  
Drew Rendall
Keyword(s):  
Comparative Research ◽  
Communication Systems ◽  
Cognitive Biases ◽  
Animal Communication ◽  
Building Blocks ◽  
Future Research ◽  
Common Language ◽  
Starting Point ◽  
Uncritical Acceptance ◽  
Signal Action

Comparative research on communication systems in human and non-human primates has struggled to find a common language for comparisons. Research has too often either embraced application of linguistic constructs to animal signals, or eschewed them altogether, with the result being either uncritical acceptance of continuity between human and animal communication, or wholesale dismissal of it. This chapter attempts to better align the discussion of communication in the two groups by highlighting the importance of low-level features of communication indisputably common to both. From this common starting point, the authors of this chapter invoke functional deployability as a critical pressure influencing signal structure and use, emphasizing conserved perceptuocognitive mechanisms as common targets of signal action. In recognizing these foundational building blocks, many productive avenues for future research open up. In particular, the authors suggest that perceptual and cognitive biases that promote certain types of signal-meaning mappings provide a natural, biosemantic substrate on which more robust communicative systems can be built.

The Attenuation of Very Low Frequency Brain Oscillations in Transitions from a Rest State to Active Attention

2009 ◽  
Vol 23 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Suzannah K. Helps ◽  
Samantha J. Broyd ◽  
Christopher J. James ◽  
Anke Karl ◽  
Edmund J. S. Sonuga-Barke
Keyword(s):  
Brain Activity ◽  
Sampling Rate ◽  
Low Frequency ◽  
Future Research ◽  
Adhd Symptoms ◽  
Default Mode ◽  
Very Low Frequency ◽  
Wide Range ◽  
Interference Hypothesis ◽  
Mode Interference

Background: The default mode interference hypothesis ( Sonuga-Barke & Castellanos, 2007 ) predicts (1) the attenuation of very low frequency oscillations (VLFO; e.g., .05 Hz) in brain activity within the default mode network during the transition from rest to task, and (2) that failures to attenuate in this way will lead to an increased likelihood of periodic attention lapses that are synchronized to the VLFO pattern. Here, we tested these predictions using DC-EEG recordings within and outside of a previously identified network of electrode locations hypothesized to reflect DMN activity (i.e., S3 network; Helps et al., 2008 ). Method: 24 young adults (mean age 22.3 years; 8 male), sampled to include a wide range of ADHD symptoms, took part in a study of rest to task transitions. Two conditions were compared: 5 min of rest (eyes open) and a 10-min simple 2-choice RT task with a relatively high sampling rate (ISI 1 s). DC-EEG was recorded during both conditions, and the low-frequency spectrum was decomposed and measures of the power within specific bands extracted. Results: Shift from rest to task led to an attenuation of VLFO activity within the S3 network which was inversely associated with ADHD symptoms. RT during task also showed a VLFO signature. During task there was a small but significant degree of synchronization between EEG and RT in the VLFO band. Attenuators showed a lower degree of synchrony than nonattenuators. Discussion: The results provide some initial EEG-based support for the default mode interference hypothesis and suggest that failure to attenuate VLFO in the S3 network is associated with higher synchrony between low-frequency brain activity and RT fluctuations during a simple RT task. Although significant, the effects were small and future research should employ tasks with a higher sampling rate to increase the possibility of extracting robust and stable signals.

Conclusion

2017 ◽  
Author(s):  
Harald Schoen ◽  
Sigrid Roßteutscher ◽  
Rüdiger Schmitt-Beck ◽  
Bernhard Weßels ◽  
Christof Wolf
Keyword(s):  
Political Behavior ◽  
Voting Behavior ◽  
Contextual Effects ◽  
Democratic Politics ◽  
Voter Behavior ◽  
Future Research ◽  
Opinion Formation ◽  
Context Sensitive ◽  
Contextual Features ◽  
And Behavior

This concluding chapter summarizes the main findings of the preceding chapters in light of the model of contextual effects on voter behavior. Accordingly, the processes of communication and politicization are of key importance for contextual effects. By implication, we cannot take for granted that contextual features exert sizable effects on voters’ opinion formation and behavior in each and every case. Findings about contextual effects are also context-sensitive and thus do not lend themselves to generalization by default. These observations suggest that context plays a nuanced and conditional role in voting behavior. Exploring it further should be a focal topic of future research on political behavior and democratic politics.

The Interplay of Developing Morality and Gender Attitudes

2020 ◽  
pp. 724-745
Author(s):  
Rebecca S. Bigler ◽  
Lynn S. Liben
Keyword(s):  
Psychological Theory ◽  
The United States ◽  
Gender Nonconformity ◽  
Gender Attitudes ◽  
Future Research ◽  
Policy And Practice ◽  
Ethical Policy ◽  
History Of ◽  
And Gender ◽  
And Behavior

Morality and gender are intersecting realms of human thought and behavior. Reasoning and action at their intersection (e.g., views of women’s rights legislation) carry important consequences for societies, communities, and individual lives. In this chapter, the authors argue that children’s developing views of morality and gender reciprocally shape one another in important and underexplored ways. The chapter begins with a brief history of psychological theory and research at the intersection of morality and gender and suggests reasons for the historical failure to view gender attitudes through moral lenses. The authors then describe reasons for expecting morality to play an important role in shaping children’s developing gender attitudes and, reciprocally, for gender attitudes to play an important role in shaping children’s developing moral values. The authors next illustrate the importance and relevance of these ideas by discussing two topics at the center of contentious debate in the United States concerning ethical policy and practice: treatment of gender nonconformity and gender-segregated schooling. The chapter concludes with suggestions for future research.

scholarly journals Can neuroscience help to understand narcissism? A systematic review of an emerging field

2021 ◽  
Vol 4 ◽  
Author(s):  
Emanuel Jauk ◽  
Philipp Kanske
Keyword(s):  
Systematic Review ◽  
Stress Responses ◽  
Interpersonal Functioning ◽  
Integrative Model ◽  
Experimental Investigations ◽  
Future Research ◽  
Pathological Narcissism ◽  
Ego Threat ◽  
Self Reports ◽  
And Behavior

Abstract Narcissism is a Janusian personality construct, associated with both grandiose self-assuredness and dominance, as well as vulnerable insecurity and reactivity. Central questions of intra- and interpersonal functioning in narcissism are still a matter of debate. Neuroscience could help to understand the paradoxical patterns of experience and behavior beyond the limitations of self-reports. We provide a systematic review of 34 neuroscience studies on grandiose, vulnerable, pathological narcissism, and Narcissistic Personality Disorder (NPD), spanning experimental investigations of intra- and interpersonal mechanisms, research on neurophysiological and neuroendocrine aspects of baseline function, and brain structural correlates. While neuroscience has scarcely directly studied vulnerable narcissism, grandiose narcissism is associated with heightened vigilance to ego threat and stress responses following ego threat, as well as heightened stress indicators in baseline measures. Such responses are not commonly observed in self-reports, highlighting the potential of neuroscience to augment our understanding of self-regulatory dynamics in narcissism. Interpersonal functioning is characterized by deficits in social–affective processes. Both involve altered activity within the salience network, pointing to a double dissociation regarding the expression of narcissism and self/other oriented situational focus. Findings are summarized in an integrative model providing testable hypotheses for future research along with methodological recommendations.

scholarly journals Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities

2021 ◽  
Vol 11 (2) ◽  
pp. 167
Author(s):  
Rubén Pérez-Elvira ◽  
Javier Oltra-Cucarella ◽  
José Antonio Carrobles ◽  
Minodora Teodoru ◽  
Ciprian Bacila ◽  
...  
Keyword(s):  
Learning Disabilities ◽  
Pediatric Population ◽  
Peak Frequency ◽  
Normative Values ◽  
Z Score ◽  
Absolute Power ◽  
The Individual ◽  
And Behavior ◽  
The Waves ◽  
Alpha Peak

Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-APF) were compared in a pre-and-post-LZT-NF intervention. There were no statistical differences in age, gender, or the distribution of LDs between the groups. The li-APF group showed a higher theta absolute power in P4 (p = 0.016) at baseline and higher Hi-Beta absolute power in F3 (p = 0.007) post-treatment compared with the ni-APF group. In both groups, extreme waves (absolute Z-score of ≥1.5) were more likely to move toward the normative values, with better results in the ni-APF group. Conversely, the waves within the normal range at baseline were more likely to move out of the range after treatment in the li-APF group. Our results provide evidence of a viable biomarker for identifying optimal responders for the LZT-NF technique based on the i-APF metric reflecting the patient’s neurophysiological individuality.

Intelligent Displacement Measuring System for Rock Stratum

2011 ◽  
Vol 103 ◽  
pp. 583-586
Author(s):  
Feng Ling Li ◽  
Jian Hua Rong ◽  
Yu Ping Zhang
Keyword(s):  
Civil Engineer ◽  
Real Time ◽  
Sampling Rate ◽  
Measuring System ◽  
Displacement Sensor ◽  
Rock Stratum ◽  
Baud Rate ◽  
Real Time Clock ◽  
High Sampling Rate ◽  
Displacement System

Measuring rock stratum displacement in dam grouting process is very important. A new displacement system is designed, comprising a programmable microcontroller Atmega16, a new grating capacitive displacement sensor(GCDS), DS1302 real time clock chip and announciator etc. The system has high sampling rate of 9600 baud rate and can trap the displacement equal to 0.001 millimeter in one second. Equipped with mechanical conveyance system, the system can be applied to the civil engineer. The experiment results show the instrument can measure accurately the displacement value and alarm geologic disaster in time, which can conduct continuous and accurate monitoring and provide operation decisions for dam engineers.

scholarly journals An Automatic Method for Detection and Update of Additive Changes in Road Network with GPS Trajectory Data

2019 ◽  
Vol 8 (9) ◽  
pp. 411 ◽  
Author(s):  
Tang ◽  
Deng ◽  
Huang ◽  
Liu ◽  
Chen
Keyword(s):  
Road Network ◽  
Sampling Rate ◽  
Quality Data ◽  
Automatic Method ◽  
Trajectory Data ◽  
The Road ◽  
High Sampling Rate ◽  
Map Generation ◽  
Gps Trajectory Data ◽  
Gps Trajectory

Ubiquitous trajectory data provides new opportunities for production and update of the road network. A number of methods have been proposed for road network construction and update based on trajectory data. However, existing methods were mainly focused on reconstruction of the existing road network, and the update of newly added roads was not given much attention. Besides, most of existing methods were designed for high sampling rate trajectory data, while the commonly available GPS trajectory data are usually low-quality data with noise, low sampling rates, and uneven spatial distributions. In this paper, we present an automatic method for detection and update of newly added roads based on the common low-quality trajectory data. First, additive changes (i.e., newly added roads) are detected using a point-to-segment matching algorithm. Then, the geometric structures of new roads are constructed based on a newly developed decomposition-combination map generation algorithm. Finally, the detected new roads are refined and combined with the original road network. Seven trajectory data were used to test the proposed method. Experiments show that the proposed method can successfully detect the additive changes and generate a road network which updates efficiently.

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