Temporal Pattern of Human Post and Interaction Behavior in Qzone

2015 ◽  
pp. 53-62
Author(s):  
Bing Li ◽  
Nan Hu ◽  
Wenjun Wang ◽  
Ning Yuan
Keyword(s):  
Temporal Pattern ◽  
Interaction Behavior

Metachromatic Leukodystrophy: spatial and temporal pattern of MRI changes and their association with motor deterioration

2010 ◽  
Vol 41 (02) ◽  
Author(s):  
S Gröschel ◽  
C Kehrer ◽  
C i Dali ◽  
M Wilke ◽  
W Grodd ◽  
...  
Keyword(s):  
Temporal Pattern ◽  
Metachromatic Leukodystrophy ◽  
Mri Changes

Nonlinear Pattern Analysis of Ventricular Premature Beats by Mutual Information

1997 ◽  
Vol 36 (04/05) ◽  
pp. 257-260 ◽  
Author(s):  
H. Saitoh ◽  
T. Yokoshima ◽  
H. Kishida ◽  
H. Hayakawa ◽  
R. J. Cohen ◽  
...  
Keyword(s):  
Mutual Information ◽  
Temporal Pattern ◽  
Pattern Analysis ◽  
Autonomic Activity ◽  
Correlation Measure ◽  
Ventricular Premature Beats ◽  
Risk Of Mortality ◽  
Premature Beats ◽  
Information Values ◽  
Nonlinear Pattern

Abstract:The frequency of ventricular premature beats (VPBs) has been related to the risk of mortality. However, little is known about the temporal pattern of occurrence of VPBs and its relationship to autonomic activity. Hence, we applied a general correlation measure, mutual information, to quantify how VPBs are generated over time. We also used mutual information to determine the correlation between VPB production and heart rate in order to evaluate effects of autonomic activity on VPB production. We examined twenty subjects with more than 3000 VPBs/day and simulated ran-( dom time series of VPB occurrence. We found that mutual information values could be used to characterize quantitatively the temporal patterns of VPB generation. Our data suggest that VPB production is not random and VPBs generated with a higher value of mutual information may be more greatly affected by autonomic activity.

Recursive Incremental Gaussian Mixture Network For Spatio-Temporal Pattern Processing

2016 ◽  
Author(s):  
Rafael C. Pinto ◽  
Paulo M. Engel ◽  
Milton R. Heinen
Keyword(s):  
Temporal Pattern ◽  
Gaussian Mixture ◽  
Pattern Processing ◽  
Spatio Temporal

Coincident Stimulation With Pheromone Components Improves Temporal Pattern Resolution in Central Olfactory Neurons

1997 ◽  
Vol 77 (2) ◽  
pp. 775-781 ◽  
Author(s):  
Thomas A. Christensen ◽  
John G. Hildebrand
Keyword(s):  
Stimulus Duration ◽  
Strong Correlation ◽  
Temporal Pattern ◽  
Pheromone Component ◽  
Projection Neurons ◽  
Inhibitory Input ◽  
Olfactory Neurons ◽  
Essential Component ◽  
Pheromone Components ◽  
Pattern Resolution

Christensen, Thomas A. and John G. Hildebrand. Coincident stimulation with pheromone components improves temporal pattern resolution in central olfactory neurons. J. Neurophysiol. 77: 775–781, 1997. Male moths must detect and resolve temporal discontinuities in the sex pheromonal odor signal emitted by a conspecific female moth to orient to and locate the odor source. We asked how sensory information about two key components of the pheromone influences the ability of certain sexually dimorphic projection (output) neurons in the primary olfactory center of the male moth's brain to encode the frequency and duration of discrete pulses of pheromone blends. Most of the male-specific projection neurons examined gave mixed postsynaptic responses, consisting of an early suppressive phase followed by activation of firing, to stimulation of the ipsilateral antenna with a blend of the two behaviorally essential pheromone components. Of 39 neurons tested, 33 were excited by the principal (most abundant) pheromone component but inhibited by another, less abundant but nevertheless essential component of the blend. We tested the ability of each neuron to encode intermittent pheromonal stimuli by delivering trains of 50-ms pulses of the two-component blend at progressively higher rates from 1 to 10 per second. There was a strong correlation between 1) the amplitude of the early inhibitory postsynaptic potential evoked by the second pheromone component and 2) the maximal rate of odor pulses that neuron could resolve ( r = 0.92). Projection neurons receiving stronger inhibitory input encoded the temporal pattern of the stimulus with higher fidelity. With the principal, excitatory component of the pheromone alone as the stimulus, the dynamic range for encoding stimulus intermittency was reduced in nearly 60% of the neurons tested. The greatest reductions were observed in those neurons that could be shown to receive the strongest inhibitory input from the second behaviorally essential component of the blend. We also tested the ability of these neurons to encode stimulus duration. Again there was a strong correlation between the strength of the inhibitory input to a neuron mediated by the second pheromone component and that neuron's ability to encode stimulus duration. Neurons that were strongly inhibited by the second component could accurately encode pulses of the blend from 50 to 500 ms in duration ( r = 0.94), but that ability was reduced in neurons receiving little or no inhibitory input ( r = 0.23). This study confirms that certain olfactory projection neurons respond optimally to a particular odor blend rather than to the individual components of the blend. The key components activate opposing synaptic inputs that enable this subset of central neurons to copy the duration and frequency of intermittent odor pulses that are a fundamental feature of airborne olfactory stimuli.

Supporting Youth With Autism Learning Social Competence: A Comparison of Game- and Nongame-Based Activities in 3D Virtual World

2021 ◽  
pp. 073563312110220
Author(s):  
Xianhui Wang ◽  
Wanli Xing
Keyword(s):  
Social Interaction ◽  
Social Competence ◽  
Central Element ◽  
Autism Spectrum ◽  
Virtual Learning Environment ◽  
Learning Activities ◽  
Behavior Patterns ◽  
Interaction Behavior ◽  
Significant Difference ◽  
The Impact

This study explored youth with Autism Spectrum Disorder (ASD) learning social competence in the context of innovative 3D virtual learning environment and the effects of gaming as a central element of the learning experience. The empirical study retrospectively compared the social interactions of 11 adolescents with ASD in game-and nongame-based 3D collaborative learning activities in the same social competence training curriculum. We employed a learning analytics approach - association rule mining to uncover the associative rules of verbal social interaction and nonverbal social interaction contributors from the large dataset of the coded social behaviors. By comparing the rules across the game and nongame activities, we found a significant difference in youth with ASD’s social performance. The results of the group comparison study indicated that the co-occurrence of verbal and nonverbal behaviors is much stronger in the game-based learning activities. The game activities also yielded more diverse social interaction behavior patterns. On the other hand, in the nongame activities, students’ social interaction behavior patterns are much more limited. Furthermore, the impact of game design principles on learning is then discussed in this paper.

scholarly journals Environmental and Air Pollution Factors Affecting Allergic Eye Disease in Children and Adolescents in India

2021 ◽  
Vol 18 (11) ◽  
pp. 5611
Author(s):  
Anthony Vipin Das ◽  
Sayan Basu
Keyword(s):  
Air Pollution ◽  
Children And Adolescents ◽  
Temporal Pattern ◽  
Environmental Parameters ◽  
Ground Level ◽  
Significant Negative Correlation ◽  
Eye Disease ◽  
Cross Sectional ◽  
Recent Onset ◽  
Ground Level Ozone

The aim of this study was to describe the correlation between the meteorological and air pollution parameters with the temporal pattern of presentation of recent onset allergic eye disease (AED). This cross-sectional hospital-based study included new patients (≤21 years of age) presenting between January 2016 and August 2018 from the district of Hyderabad with a clinical diagnosis of AED and an acute exacerbation of recent onset of symptoms of less than 3 months duration. Correlation analysis was performed with the local environmental rainfall, temperature, humidity, windspeed, and air pollution. Of the 25,354 new patients hailing from the district of Hyderabad, 2494 (9.84%) patients were diagnosed with AED, of which 1062 (4.19%) patients had recent onset of symptoms. The mean monthly prevalence in this cohort was 4.13%, and the month of May (6.09%) showed the highest levels. The environmental parameters of humidity (r2 = 0.83/p = < 0.0001) and rainfall (r2 = 0.41/p = 0.0232) showed significant negative correlation, while temperature (r2 = 0.43/p = 0.0206) and ground-level ozone (r2 = 0.41/p = 0.0005) showed significant positive correlation with the temporal pattern of AED in the population. An increase in rainfall and humidity was associated with a lower prevalence, and an increase of temperature and ground-level ozone was associated with a higher prevalence of AED cases during the year among children and adolescents.

Sign in / Sign up

Export Citation Format

Share Document