5 resultados para Driving self-regulation

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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[ES] Las cooperativas son un modelo de empresa que tiene unas características particulares, entre las que destacan la distribución y el ejercicio del poder, la manera particular de distribución de resultados, la existencia de unos fondos obligatorios, la autoregulación del régimen de trabajo, el procedimiento de atribución de fondos económicos en el momento de la baja de un socio, y la participación de los asalariados en los resultados económicos positivos.

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Research on moral cleansing and moral self-licensing has introduced dynamic considerations in the theory of moral behavior. Past bad actions trigger negative feelings that make people more likely to engage in future moral behavior to offset them. Symmetrically, past good deeds favor a positive self-perception that creates licensing effects, leading people to engage in behavior that is less likely to be moral. In short, a deviation from a “normal state of being” is balanced with a subsequent action that compensates the prior behavior. We model the decision of an individual trying to reach the optimal level of moral self-worth over time and show that under certain conditions the optimal sequence of actions follows a regular pattern which combines good and bad actions. We conduct an economic experiment where subjects play a sequence of giving decisions (dictator games) to explore this phenomenon. We find that donation in the previous period affects present decisions and the sign is negative: participants’ behavior in every round is negatively correlated to what they did in the past. Hence donations over time seem to be the result of a regular pattern of self-regulation: moral licensing (being selfish after altruist) and cleansing (altruistic after selfish).

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Numerous transcription factors self-assemble into different order oligomeric species in a way that is actively regulated by the cell. Until now, no general functional role has been identified for this widespread process. Here, we capture the effects of modulated self-assembly in gene expression with a novel quantitative framework. We show that this mechanism provides precision and flexibility, two seemingly antagonistic properties, to the sensing of diverse cellular signals by systems that share common elements present in transcription factors like p53, NF-kappa B, STATs, Oct and RXR. Applied to the nuclear hormone receptor RXR, this framework accurately reproduces a broad range of classical, previously unexplained, sets of gene expression data and corroborates the existence of a precise functional regime with flexible properties that can be controlled both at a genome-wide scale and at the individual promoter level.