scholarly journals Effects of Social Experience on the Habituation Rate of Zebrafish Startle Escape Response: Empirical and Computational Analyses

2018 ◽  
Vol 12 ◽  
Author(s):  
Choongseok Park ◽  
Katie N. Clements ◽  
Fadi A. Issa ◽  
Sungwoo Ahn
Keyword(s):  
Escape Response ◽  
Social Experience ◽  
Habituation Rate ◽  
Computational Analyses

Examining the Effects of I-Sharing for Future White-Black Interactions

2016 ◽  
Vol 47 (3) ◽  
pp. 125-135 ◽  
Author(s):  
Sarah E. Gaither ◽  
Jessica D. Remedios ◽  
Jennifer R. Schultz ◽  
Keith B. Maddox ◽  
Samuel R. Sommers
Keyword(s):  
Social Interaction ◽  
Social Experience ◽  
Positive Experience ◽  
Subjective Experiences ◽  
Future Directions ◽  
Interracial Interaction ◽  
Anxious Behavior

Abstract. Research shows that I-sharing, or sharing subjective experiences with an outgroup member, positively shapes attitudes toward that outgroup member. We investigated whether this type of social experience would also promote a positive interracial interaction with a novel outgroup member. Results showed that White and Black participants who I-shared with a racial outgroup member (vs. I-sharing with a racial ingroup member) expressed more liking toward that outgroup member. However, I-sharing with an outgroup member did not reduce anxious behavior in a future social interaction with a novel racial outgroup member. Therefore, although sharing subjective experiences may increase liking toward one individual from a racial outgroup, it remains to be seen whether this positive experience can influence behaviors in future interactions with other racial outgroup members. Future directions are discussed.

The City and the Poetic Approach of Social Experience

Localities ◽  
2014 ◽  
Vol 4 ◽  
pp. 125
Author(s):  
Patrick Tacussel
Keyword(s):  
Social Experience ◽  
The City

Computational Analyses and Design Improvements of Graft-to-Vein Anastomoses

2000 ◽  
Vol 28 (1-2) ◽  
pp. 141-147 ◽  
Author(s):  
P. W. Longest ◽  
Clement Kleinstreuer ◽  
P. J. Andreotti
Keyword(s):  
Computational Analyses

scholarly journals Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 525 ◽  
Author(s):  
Mehdi Keshavarz-Ghorabaee ◽  
Maghsoud Amiri ◽  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis ◽  
Jurgita Antucheviciene
Keyword(s):  
Essential Elements ◽  
New Method ◽  
Multi Criteria Decision Making ◽  
Analysis Of Means ◽  
Simulation Based ◽  
Criteria Weights ◽  
The Stability ◽  
Computational Analyses ◽  
Weighting Methods

The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.

Sign in / Sign up

Export Citation Format

Share Document