scholarly journals PLCζ Induced Ca2+ Oscillations in Mouse Eggs Involve a Positive Feedback Cycle of Ca2+ Induced InsP3 Formation From Cytoplasmic PIP2

2018 ◽  
Vol 6 ◽  
Author(s):  
Jessica R. Sanders ◽  
Bethany Ashley ◽  
Anna Moon ◽  
Thomas E. Woolley ◽  
Karl Swann
Keyword(s):  
Positive Feedback ◽  
Feedback Cycle ◽  
Mouse Eggs

Anorexia: A perverse effect of attempting to control the starvation response

2017 ◽  
Vol 40 ◽  
Author(s):  
Randolph M. Nesse
Keyword(s):  
Binge Eating ◽  
Positive Feedback ◽  
Metabolic Efficiency ◽  
Protective Mechanisms ◽  
Fat Storage ◽  
Starvation Response ◽  
Feedback Cycle ◽  
Perverse Effect

AbstractStarvation arouses evolved protective mechanisms including binge eating and increased metabolic efficiency and fat storage. When aroused by dieting, the experiences of out-of-control eating, increased appetite, and increased fat storage arouse greater fears of obesity, spurring renewed attempts to restrict intake severely. The resulting positive feedback cycle escalates into bulimia for many, and anorexia in a few.

scholarly journals The positive feedback cycle in the electricity market: Residential solar PV adoption, electricity demand and prices

Energy Policy ◽  
2018 ◽  
Vol 122 ◽  
pp. 36-44 ◽  
Author(s):  
Michael Chesser ◽  
Jim Hanly ◽  
Damien Cassells ◽  
Nicholas Apergis
Keyword(s):  
Electricity Market ◽  
Positive Feedback ◽  
Electricity Demand ◽  
Solar Pv ◽  
Feedback Cycle

Social anxiety disorder and memory for positive feedback.

2019 ◽  
Vol 128 (3) ◽  
pp. 228-233 ◽  
Author(s):  
Brianne L. Glazier ◽  
Lynn E. Alden
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Social Anxiety Disorder ◽  
Positive Feedback

Clinging to positive feedback as a function of autonomy and control motivation

2006 ◽  
Author(s):  
Holley S. Hodgins ◽  
Kathryn Adair ◽  
Rachel Gordon ◽  
Yaritza Saavedra ◽  
Sara Shiffman ◽  
...  
Keyword(s):  
Positive Feedback ◽  
Control Motivation ◽  
And Control

Social support and the positive feedback bias to minorities

2011 ◽  
Author(s):  
Kent Harber ◽  
Jamie L. Gorman ◽  
Frank P. Gengaro ◽  
Samantha Butisingh ◽  
Rebecca Ouellette ◽  
...  
Keyword(s):  
Social Support ◽  
Positive Feedback

PADDY RESIDUE AS FEEDSTOCK IN ELECTRICITY GENERATION: REDEMPTION OF LIFE CYCLE EMISSIONS AND COST ANALYSIS

2018 ◽  
Vol 13 (Number 1) ◽  
pp. 55-67
Author(s):  
Shafini M. Shafie ◽  
Zakirah Othman ◽  
N Hami
Keyword(s):  
Power Generation ◽  
Life Cycle ◽  
Cost Analysis ◽  
Positive Feedback ◽  
Energy Supply ◽  
Electricity Generation ◽  
Economic Sector ◽  
Ghg Emission ◽  
Coal Fuel ◽  
Biomass Resources

Malaysia has an abundance of biomass resources that can be utilised for power generation. One of them is paddy residue. Paddy residue creates ahuge potential in the power generation sector. The consumption of paddy residue can help Malaysia become less dependent on conventional sources of energy, mitigate greenhouse gas(GHG) emission, offer positive feedback in the economic sector, and at the same time, provide thebest solution for waste management activities. The forecast datafor 20 years on electricity generation wasused to calculate the GHG emission and its saving when paddy residue is used for electricity generation. The government’scost saving was also identified when paddy residue substituted coal fuel in electricity generation.This paper can provide forecast information so that Malaysia is able to move forward to apply paddy residue as feedstock in energy supply. Hopefully, the data achieved can encourage stakeholder bodies in the implementation of paddy residue inelectricity generation since there is apositive impact towardscost and emission saving.

The Evolutionary Dynamics of Decision Rule Selection

2017 ◽  
Author(s):  
Michael Laver ◽  
Ernest Sergenti
Keyword(s):  
Decision Rule ◽  
Positive Feedback ◽  
Party System ◽  
Evolutionary Dynamics ◽  
Decision Rules ◽  
Past Performance ◽  
Party Leaders ◽  
Track Record ◽  
Long Run ◽  
Survival Of The Fittest

This chapter extends the survival-of-the-fittest evolutionary environment to consider the possibility that new political parties, when they first come into existence, do not pick decision rules at random but instead choose rules that have a track record of past success. This is done by adding replicator-mutator dynamics to the model, according to which the probability that each rule is selected by a new party is an evolving but noisy function of that rule's past performance. Estimating characteristic outputs when this type of positive feedback enters the dynamic model creates new methodological challenges. The simulation results show that it is very rare for one decision rule to drive out all others over the long run. While the diversity of decision rules used by party leaders is drastically reduced with such positive feedback in the party system, and while some particular decision rule is typically prominent over a certain period of time, party systems in which party leaders use different decision rules are sustained over substantial periods.

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