951 resultados para configuration of social networks


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Popular social networking sites such as Facebook demonstrate an emerging opportunity for students and educators within formal higher education contexts to share ideas, celebrate creativity and participate in an environment which offers immediate feedback from others who belong within a specific network. As this is an emerging use of the technology, an autoethnographic approach has helped capture the potentials and pitfalls of incorporating social networking within higher education. The findings highlight implications for the key stakeholders in higher education.

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Michael White, the Australian narrative practitioner, died in April this year. Given White trained in social work and has had a large impact on many social workers, it is timely to investigate the opaque relationships linking White and his work with his discipline-of-origin. The present examination proceeds in three steps. First, a schematic outline of White’s intellectual influences and achievements is set out; second, the alignments, as well as tensions, between White’s work and his discipline-of-origin are considered; and, third, it is argued that White was informed by, and went on to produce a body of work that further informed, the contesting spirit that is the wellspring of the discipline of social work. This conclusion is reached mindful of the fact that White remained antagonistic to the role played by the professions in general and that he did not identify with the title ‘social worker’ in particular.

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This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.

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Tyrosine hydroxylase (TH), the rate-limiting enzyme in catecholamine biosynthesis, is regulated acutely by protein phosphorylation and chronically by protein synthesis. No studies have systematically investigated the phosphorylation of these sites in vivo in response to stressors. We specifically investigated the phosphorylation of TH occurring within the first 24 h in response to the social defeat stress in the rat adrenal, the locus coeruleus, substantia nigra and ventral tegmental area. Five groups were investigated; home cage control (HCC), two groups that underwent social defeat (SD+) which were sacrificed either 10 min or 24 h after the end of the protocol and two groups that were put into the cage without the resident being present (SD−) which were sacrificed at time points identical to the SD+. We found at 10 min there were significant increases in serine 40 and 31 phosphorylation levels in the locus coeruleus in SD+ compared to HCC and increases in serine 40 phosphorylation levels in the substantia nigra in SD+ compared to SD−. We found at 24 h there were significant increases in serine 19 phosphorylation levels in the ventral tegmental area in SD+ compared to HCC and decreases in serine 40 phosphorylation levels in the adrenal in SD+ compared to SD−. These findings suggest that the regulation of TH phosphorylation in different catecholamine-producing cells varies considerably and is dependent on both the nature of the stressor and the time at which the response is analysed.