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Abstract: When trying to maximize the adoption of a behavior in a population connected by a social network, it is common to strategize about where in the network to seed the behavior.
The aim of the present study was to investigate sexual behavior in a population of psychiatric patients affected by schizophrenia, schizoaffective disorder or bipolar disorder by means of an ad hoc questionnaire designed to explore the three phases of the sexual response: desire (or interest), arousal, and performance.
The spatial and temporal evolution of collective behavior in a population can be simulated with a cellular automaton model (see [9, 10, 11]).
Contrary to pre-clinical models that can be carefully tailored to meet scientific need and preferred outcomes, the essence of human disease involves heterogeneity in clinical presentation and with a complex biological basis that is not easily controlled for all possible models of behavior in a population of subjects.
Ideally, to show that a behavior is an evolutionary adaptation, researchers must demonstrate that (1) the behavior is heritable, (2) there is or was behavioral variability among individuals in a population, and (3) that differential reproduction, caused by the presence of the behavior in question, led to an increase in the frequency of individuals tending to exhibit that behavior in a population.
Similar to the rotation assay, our method is single-cell based and permits the study of behaviors of individual cells as well as the average behavior in a population.
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This process, termed quorum sensing, allows bacteria to regulate behavior in a population-dependant manner, effectively coordinating their activity.
The first aim of the study was to explore which socio-demographic, medical and social-cognitive factors have the strongest link with self-reported PA behavior in a population-based sample of adults aged 45 70 years living in the Netherlands.
The scientists developed equations that described two different behaviors in a population.
They are also studying the behavior of large numbers of cells to understand the distribution of cell behaviors in a population.
We systematically investigate the effects of phenotypic diversity, network structure, and rewards on cooperative behavior emerging in a population of reproducing artificial decision makers playing tag-mediated evolutionary games.
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behave in a population
behavior in a rat
behavior in a week
behavior in a pipeline
behavior in a game
behavior in a storm
behavior in a company
behavior in a piece
behavior in a variety
behavior in a downturn
behavior in a library
behavior in a time
behavior in a resolution
behavior in a coordination
behavior in a script
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com