Zeitstrukturen im Gedicht

POETICA ◽  
2021 ◽  
Vol 52 (3-4) ◽  
pp. 334-360
Author(s):  
Irmtraud Huber
Keyword(s):  
Temporal Dynamics ◽  
Analytical Framework ◽  
Rainer Maria Rilke ◽  
Temporal Structures

Abstract The lyric is often associated with an attempt to escape from time into stasis or eternity and is juxtaposed as atemporal to the temporal dynamics of (narrative or dramatic) plot. Resisting such common attributions, this paper develops an analytical framework that highlights the complexity and variety of temporal structures to be found in poetry. Understood as a contribution to the growing field of lyricology, the suggested framework aims to be widely applicable to poetry in general, but is here introduced and exemplified with reference to poems by Rainer Maria Rilke.

scholarly journals An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment: A Study on the Relationship between Food Environment Exposures and Body Weight

2018 ◽  
Vol 15 (9) ◽  
pp. 2022 ◽  
Author(s):  
Jue Wang ◽  
Mei-Po Kwan
Keyword(s):  
Food Environment ◽  
Temporal Dynamics ◽  
Binary Logistic Regression ◽  
Environmental Exposures ◽  
Analytical Framework ◽  
Environmental Context ◽  
Positioning Systems ◽  
Daily Movement ◽  
Wide Range ◽  
The Relationship

In past studies, individual environmental exposures were largely measured in a static manner. In this study, we develop and implement an analytical framework that dynamically represents environmental context (the environmental context cube) and effectively integrates individual daily movement (individual space-time tunnel) for accurately deriving individual environmental exposures (the environmental context exposure index). The framework is applied to examine the relationship between food environment exposures and the overweight status of 46 participants using data collected with global positioning systems (GPS) in Columbus, Ohio, and binary logistic regression models. The results indicate that the proposed framework generates more reliable measurements of individual food environment exposures when compared to other widely used methods. Taking into account the complex spatial and temporal dynamics of individual environmental exposures, the proposed framework also helps to mitigate the uncertain geographic context problem (UGCoP). It can be used in other environmental health studies concerning environmental influences on a wide range of health behaviors and outcomes.

Temporal dynamics of situated learning in organizations

2010 ◽  
Vol 41 (3) ◽  
pp. 285-301 ◽  
Author(s):  
Jon Erland Lervik ◽  
Kathryn M. Fahy ◽  
Mark Easterby-Smith
Keyword(s):  
Case Studies ◽  
Learning Theory ◽  
Situated Learning ◽  
Temporal Dynamics ◽  
Temporal Perspective ◽  
Opportunities For Learning ◽  
Everyday Work ◽  
Internal Property ◽  
Temporal Structures ◽  
Context Of Learning

Situated learning theory posits that learning in organizations arises in the contexts and conditions of practical engagement, and time is an important dimension of activity and context of learning. However, time has primarily been conceptualized as an internal property of communities, buffered from social and organizational temporalities that shape rhythms of working and learning. This article examines how external temporalities affect situated learning through case studies of technical after-sales services. A situated learning perspective posits how new understandings are constructed from a broad assemblage of resources and relations. These resources and relationships are to a large extent governed by external temporalities that influence opportunities for learning through everyday work. We highlight temporal structures as an important mechanism guiding or obstructing the development of new understandings, and we conclude that a temporal perspective on situated learning holds important implications for practice and further research.

scholarly journals Revealing the Temporal Dynamics in Non-invasive Electrophysiological recordings with Topography-based Analyses

2019 ◽  
Author(s):  
Xuefei Wang ◽  
Hao Zhu ◽  
Xing Tian
Keyword(s):  
Processing Speed ◽  
Temporal Dynamics ◽  
Analytical Framework ◽  
Neural Dynamics ◽  
Time Duration ◽  
Topographic Analysis ◽  
Non Invasive ◽  
Temporal Variance ◽  
Related Potentials ◽  
Temporal Indices

AbstractThe fine temporal resolution of electroencephalography (EEG) makes it one of the most widely used non-invasive electrophysiological recording methods in cognitive neuroscience research. One of the common ways to explore the neural dynamics is to create event-related potentials (ERPs) by averaging trials, followed by the examination of the response magnitude at peak latencies. However, a complete profile of neural dynamics, including temporal indices of onset time, offset time, duration, and processing speed, is needed to investigate cognitive neural mechanisms. Based on the multivariate topographic analysis, we developed an analytical framework that included two methods to explore neural dynamics in ERPs. The first method separates continuous ERP waveforms into distinct components based on their topographic patterns. Crucial temporal indices such as the peak latency, onset and offset times can be automatically identified and indices about processing speed such as duration, rise, and fall speed can be derived. The second method scrutinizes the temporal dynamics of identified components by reducing the temporal variance among trials. The response peaks of signal trials are identified based on a target topographic template, and temporal-variance-free ERPs are obtained after aligning individual trials. This method quantifies the temporal variance as a new measure of cognitive noise, as well as increases both the accuracy of temporal dynamics estimation and the signal-to-noise ratio (SNR) of the ERP responses. The validity and reliability of these methods were tested with simulation as well as empirical datasets from an attention study and a semantic priming (N400) study. Together, we offer an analytical framework in a data-driven, bias-free manner to investigate neural dynamics in non-invasive scalp recordings. These methods are implemented in the Python-based open-source package TTT (Topography-based Temporal-analysis Toolbox).

scholarly journals Assessing metacommunity processes through signatures in spatiotemporal turnover of community composition

2018 ◽  
Author(s):  
Franck Jabot ◽  
Fabien Laroche ◽  
François Massol ◽  
Florent Arthaud ◽  
Julie Crabot ◽  
...  
Keyword(s):  
Environmental Variability ◽  
Temporal Dynamics ◽  
Environmental Filtering ◽  
Analytical Framework ◽  
Temporal Part ◽  
Ecological Processes ◽  
Metacommunity Ecology ◽  
Path Analyses ◽  
Metacommunity Dynamics ◽  
Acting In Concert

AbstractAlthough metacommunity ecology has been a major field of research in the last decades, with both conceptual and empirical outputs, the analysis of the temporal dynamics of metacommunities has only emerged recently and consists mostly of repeated static analyses. Here, we propose a novel analytical framework to assess metacommunity processes using path analyses of spatial and temporal diversity turnovers. We detail the principles and practical aspects of this framework and apply it to simulated datasets to illustrate its ability to decipher the respective contributions of entangled drivers of metacommunity dynamics. We then apply it to four empirical datasets. Empirical results support the view that metacommunity dynamics may be generally shaped by multiple ecological processes acting in concert, with environmental filtering being variable across both space and time. These results reinforce our call to go beyond static analyses of metacommunities that are blind to the temporal part of environmental variability.

Suggestions on Expansion and Modification of Soundscape Music-Likeness Indicator

2013 ◽  
Vol 448-453 ◽  
pp. 3691-3695 ◽  
Author(s):  
Guo Bin Chen ◽  
Yue Zhe Zhao
Keyword(s):  
Classical Music ◽  
Temporal Dynamics ◽  
Temporal Structure ◽  
Membership Functions ◽  
Data Comparison ◽  
Significant Difference ◽  
Set Membership ◽  
Temporal Structures ◽  
Western Classical Music ◽  
Structure Properties

Music-likeness is an indicator for evaluating temporal structure properties of environmental soundscape, of which fuzzy set membership functions are constructed on the basis of 1/fγ behavior of selected music fragments. The temporal dynamics in intensity and pitch vibrational sequences of Western Classical Music and Chinese National Music were analyzed by fitting their fluctuation spectra. Data comparison and statistical results show that temporal structures of these music fragments are geared towards 1/f behavior on the whole, but the probabilistic distributions of several parameters have significant difference between these two cultures. Finally, two suggestions on expansion and modification of music-likeness were presented on the basis of analytical results.

scholarly journals Bus ridership and its determinants in Beijing: A spatial econometric perspective

2022 ◽  
Author(s):  
Jiaoe Wang ◽  
Yanan Li ◽  
Jingjuan Jiao ◽  
Haitao Jin ◽  
Fangye Du
Keyword(s):  
Spatial Autocorrelation ◽  
Temporal Dynamics ◽  
Spatial Dynamics ◽  
Central Business District ◽  
Analytical Framework ◽  
Residential Areas ◽  
Basic Study ◽  
Factors Affecting ◽  
Temporal And Spatial ◽  
Business District

AbstractUnderstanding the temporal and spatial dynamics and determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring the determinants at the station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal spatial autocorrelation at the global level. This study explores the factors affecting bus ridership considering spatial autocorrelation using the spatial Durbin model (SDM). Taking the community in Beijing as the basic study unit, this study aims to explore the temporal and spatial dynamics of bus ridership and identify its key determinants considering neighboring effects. The results show the following: (1) The temporal dynamics are quite distinct on weekdays and weekends as well as at different time slots of the day. (2) The spatial patterns of bus ridership varied across different time slots, and the hot areas are mainly located near the central business district (CBD), transport hubs, and residential areas. (3) Key determinants of bus ridership varied across weekends and weekdays and varied at different time slots per day. (4) The spatial neighboring effects had been verified. This study provides a common analytical framework for analyzing the spatiotemporal dynamics and determinants of bus ridership at the community level.

scholarly journals An analytical framework for quantifying and testing patterns of temporal dynamics in social networks

2013 ◽  
Vol 85 (1) ◽  
pp. 83-96 ◽  
Author(s):  
Elizabeth A. Hobson ◽  
Michael L. Avery ◽  
Timothy F. Wright
Keyword(s):  
Social Networks ◽  
Temporal Dynamics ◽  
Analytical Framework ◽  
Testing Patterns

What face familiarity feelings say about the lateralization of specific entities within the core system

2019 ◽  
Vol 42 ◽  
Author(s):  
Guido Gainotti
Keyword(s):  
Temporal Lobe ◽  
Memory System ◽  
Core System ◽  
The Core ◽  
Memory Traces ◽  
Specific Memory ◽  
Target Article ◽  
Temporal Structures ◽  
The Right

Abstract The target article carefully describes the memory system, centered on the temporal lobe that builds specific memory traces. It does not, however, mention the laterality effects that exist within this system. This commentary briefly surveys evidence showing that clear asymmetries exist within the temporal lobe structures subserving the core system and that the right temporal structures mainly underpin face familiarity feelings.

Effects of Monetary Incentives on Task Switching

2012 ◽  
Vol 59 (4) ◽  
pp. 216-226 ◽  
Author(s):  
Thomas Kleinsorge ◽  
Gerhard Rinkenauer
Keyword(s):  
Task Switching ◽  
Temporal Dynamics ◽  
Reward Processing ◽  
General Level ◽  
Monetary Incentives ◽  
Switch Costs ◽  
Expectancy Effect ◽  
Reward Expectancy ◽  
Trial Basis

In two experiments, effects of incentives on task switching were investigated. Incentives were provided as a monetary bonus. In both experiments, the availability of a bonus varied on a trial-to-trial basis. The main difference between the experiments relates to the association of incentives to individual tasks. In Experiment 1, the association of incentives to individual tasks was fixed. Under these conditions, the effect of incentives was largely due to reward expectancy. Switch costs were reduced to statistical insignificance. This was true even with the task that was not associated with a bonus. In Experiment 2, there was a variable association of incentives to individual tasks. Under these conditions, the reward expectancy effect was bound to conditions with a well-established bonus-task association. In conditions in which the bonus-task association was not established in advance, enhanced performance of the bonus task was accompanied by performance decrements with the task that was not associated with a bonus. Reward expectancy affected mainly the general level of performance. The outcome of this study may also inform recently suggested neurobiological accounts about the temporal dynamics of reward processing.

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