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This stream details not only the antecedents of turnover patterns in organizations, but also how workforce churn impacts the organizational performance.
Here, we intended to explore species turnover patterns in an Afromontane forest in the southern Cape, part of the largest forest complex in southern Africa (Von Maltitz et al. 2003; Mucina and Rutherford 2006).
◆ What is known about safe-staffing, absenteeism and turnover patterns in EMR countries and how do they affect quality of care, patient outcomes and organizational performance?
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Importantly, zeta diversity allows us to differentiate the role of common versus rare species in driving the compositional turnover patterns, as well as the potentially different sets of environmental determinants behind species turnover [not explored here].
We found a turnover pattern of mayfly genera in response to W1_HALL in a narrow variation range.
Across the end-Triassic mass extinction interval, radiolarian fauna shows a similar turnover pattern between the pelagic bedded chert sequence in the Inuyama area and the shallow marine sequence in the Queen Charlotte Islands, Canada (Carter and Hori, 2005).
We ran threshold indicator taxa analysis (TITAN) for each disturbance metric to detect change points in mayfly genera responses (whether sensitive or tolerant) and assemblage turnover pattern.
As has often been argued in the literature that abiotic gradients between sites (and thus environmental filters) are the primary drivers of species turnover (e.g. Lebrija-Trejos et al. 2010; Soininen 2010), we should expect to see that the observed zeta turnover pattern conforms to the null model expectation with column sums constrained.
A high degree of correlation exists in the temporal distribution of strain patterns between multiple sites suggesting a concerted strain turnover pattern occurring on a larger scale.
In contrast to the clear similarity of the patterns in turnover parameters at pH 9.5 and at the optimal pH, the inactivation rate constant, ki, showed a fully different pattern with these variables.
For the solid tumours, an algorithm was developed to convert the CAREX estimates into estimates of the number of workers ever exposed during the REP, taking into account the staff turnover rate and changing patterns in the number of people employed in main industry groupings (Hutchings and Rushton, 2012).
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