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The second block of multiple regressions found that safety behaviour can be significantly explained by using the constructs of safety knowledge and behavioural intention.
Multiple linear regression analyses revealed that employment position was the crucial predictor for the four examined variables, all of which can be significantly explained by leaders and their actions, a fact that underscores the importance of leadership in hospitals.
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It means that the total number of LRS in the two identical arrays can be significantly reduced by using DCT, as explained well in the previous publication [4].
However, this hypothesis is very difficult to explain, as NO production can be significantly decreased by preventing mitochondrial Ca2+ uptake.
Therefore, the role of LTB4 at nanogram concentrations in human saliva, which can be significantly reduced by lipoxygenase inhibitors [23], is presently difficult to explain.
Beyond that, we explain how the performance of the AR model can be significantly improved.
This legal document explains how, with specific accommodations, the degree of success for each individual can be significantly increased.
And that can be significantly less expensive.
Only improvement in VASda was significantly better in arm 2 patients than in arm 1 patients, which can be explained by significantly lower mean DASs in arm 2 and may also be related to higher patient expectations associated with earlier introduction of the subcutaneous TNF inhibitor ADA in this treatment arm [ 20, 21].
Most differences can be explained by significantly lower levels of T and B cells and higher levels of macrophages and dendritic cells in the FGT compared with peripheral blood.
This same difference can be further explained by the significantly larger amounts of fetuin-A one ofetuin-A oneofenthealcification inhibitors—found in FBS as comoreed with HS (10–21 mg/ml in FBS vs. 0.7–0.8 mg/ml in HS; see more detailed discussion in ref. [2] along with the many reference citations therein).
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