Temporal aspects of the abrasion of microphytic crusts under grain impact

2002 ◽  
Vol 27 (8) ◽  
pp. 891-908 ◽  
Author(s):  
Cheryl McKenna Neuman ◽  
Christine Maxwell
Keyword(s):  
Temporal Aspects ◽  
Microphytic Crusts

Annotation and Analyses of Temporal Aspects of Spoken Fluency

2013 ◽  
Vol 26 (3) ◽  
pp. 644-661 ◽  
Author(s):  
Heather Hilton
Keyword(s):  
Temporal Aspects

scholarly journals Discovering Spatial-Temporal Indication of Crime Association (STICA)

2021 ◽  
Vol 10 (2) ◽  
pp. 67
Author(s):  
Chao Jiang ◽  
Lin Liu ◽  
Xiaoxing Qin ◽  
Suhong Zhou ◽  
Kai Liu
Keyword(s):  
Pattern Analysis ◽  
Kernel Density ◽  
Time Varying ◽  
Contributing Factors ◽  
Crime Patterns ◽  
Temporal Aspects ◽  
Thematic Mapping ◽  
New Vision ◽  
Specific Implementation ◽  
Further Development

The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal localities of pertinent factors’ influence ranges. This paper proposes an approach, Spatial-Temporal Indication of Crime Association (STICA), to facilitate identifying the main contributing factors of crime, which are operated at diverse spatial-temporal scales. The method’s rationale is to progressively discern the spatial zones with diverse temporal crime patterns. A specific implementation of the STICA approach, by combining kernel density estimation, k-median-centers clustering, and thematic mapping, is applied to understand the burglary in an urban peninsula, China. The empirical findings include: (1) both the main time-stable and time-varying factors of crime can be indicated with the disparities of temporal crime patterns for different spatial zones based on the STICA results. (2) The spatial range of these factors can enlighten the understanding of interactions for generating crime patterns, especially with regards to how temporally transient and spatially global factors can produce a locally crime-ridden zone through the mediation of stable factors. (3) The STICA results can reveal the spatially contextual effects of stable factors, which are of great value to improve modeling crime patterns. As demonstrated, the STICA approach is effective in exploring contributing factors of crime and has shown great potential for providing a new vision in place-based crime research.

scholarly journals Beehive Air Sampling and Sensing Device Operation in Apicultural Applications—Methodological and Technical Aspects

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4019
Author(s):  
Andrzej Szczurek ◽  
Monika Maciejewska
Keyword(s):  
Gas Sensing ◽  
Operation Mode ◽  
Air Sampling ◽  
Sampling Point ◽  
Sampling System ◽  
Point Selection ◽  
Bee Colony ◽  
Temporal Aspects ◽  
High Quality Information ◽  
Device Operation

The basis of effective beekeeping is the information about the state of the bee colony. A rich source of respective information is beehive air. This source may be explored by applying gas sensing. It allows for classifying bee colony states based on beehive air measurements. In this work, we discussed the essential aspects of beehive air sampling and sensing device operation in apicultural applications. They are the sampling method (diffusive vs. dynamic, temporal aspects), sampling system (sample probe, sampling point selection, sample conditioning unit and sample delivery system) and device operation mode (‘exposure-cleaning’ operation). It was demonstrated how factors associated with the beehive, bee colony and ambient environment define prerequisites for these elements of the measuring instrument. These requirements have to be respected in order to assure high accuracy of measurement and high-quality information. The presented results are primarily based on the field measurement study performed in summer 2020, in three apiaries, in various meteorological conditions. Two exemplars of a prototype gas sensing device were used. These sensor devices were constructed according to our original concept.

Hearing illusory sounds in noise: Temporal aspects of sensory-perceptual transformations

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S133
Author(s):  
L Riecke ◽  
M Bonte ◽  
E Formisano
Keyword(s):  
Temporal Aspects
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