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Key sector analysis is grounded in the theoretical formulation by Sherman and Morrison (1949, 1950) of the relationship between changes in elements of the inverse matrix and elements of the input coefficient matrix.
The following research question is addressed in this study: Which (combination of) changes in elements affects (different dimensions of) the quality of life of elderly residents with dementia in long-term care settings over the course of one year?
Complementing these seasonal changes in elements of the thyroid hormone signaling pathway, in hamsters and a photoperiodic strain of rat, changes in genes encoding elements of the retinoic acid pathway have been detected (Ross et al., 2004; Shearer et al., 2010).
The aim of this study is to contribute to the knowledge about the effects of small-scale living on the quality of life of residents with dementia by answering the following main research question: Which (combination of) changes in elements affects (different dimensions of) the quality of life of elderly residents with dementia in long-term care settings over the course of one year?
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The LA-ICP-MS method presented here fulfils these requirements, and will facilitate interpretation of changes in element supply and incorporation, as well as the comparison between different regions via concretion analyses.
Results indicate that there is considerable reduction in mechanical properties due to corrosion, which is attributed to a combined effect of hydrogen embrittlement, changes in element composition, grain size and phase composition, and the residual stress concentration at corrosion pits.
Removal of cartilaginous condylar regions resulted in statistically significant changes in element length and condylar breadth.
In addition to the statistical significance we considered practical significance of changes in element abundance.
The final output of this step is the list of strains with statistically significant changes in element abundance that satisfy this criterion.
This approach allowed us to take those genes that have a significant impact on the yeast ionome in the KO, KOd and OE sets and group them based on the directions of statistically significant changes in element abundance across all the elements (Additional file 4: Figure S3 A-C).
To get information about change in elements and element weight percent, the prepared CdSe and CNT-CdSe composite were examined by EDX. Figure 5 shows the EDX microanalysis and element weight percent of CdSe and CNT-CdSe composite.
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