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It is important for monitoring and impact-detection studies to account for natural variation of physical gradients across the sampling scales used.
Microfluidic platforms enable the influence of a variety of chemical and physical gradients on single or multiple cells to be examined and monitored in real-time.
Research into chemical gradients has been more prevalent in literature; however, with the interest in mechanotransduction, research investigating the influence of physical gradients, such as force from shear stress, are appearing.
These studies span multiple ecological and physical gradients, and it is unlikely that their interpretations are confounded by any overarching gradient, beyond those used to explain LSDGs (e.g., solar radiation, glaciation history).
Inverse physical gradients were observed for insertions and deletions.
We considered local physical gradients, nutrient availability, and carbon availability as explanatory links between hydrology and ecosystem processes (i.e., potential respiration and potential denitrification).
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To mimic the gradients across a spatial volume of native tissue, poly L-lactic acid) (poly L-lacticds with physicacidradient at the macroscale were designed and PLLAiscaffoldsicated for tissue engineering via a thermally induced phase separation (TIPS) method combining a modified sugar sphere template leaching technique.
Diffusion sensitization gradients were applied in three orthogonal directions with the following physical gradient combinations: [1 0 0], [0 1 0], [0 0 1].
Diffusion sensitization gradients were applied in six noncollinear directions with the following x, y, and z physical gradient combinations: [1 0 1], [-1 0 1], [0 1 1], [0 1 -1], [1 1 0], [-1 1 0].
Some models treat the environment as a physical gradient (e.g., Case and Taper 2000), whereas others treat it is as a resource gradient (e.g., Johansson 2008; Price and Kirkpatrick 2009).
In addition, in order to illustrate vegetation distributional patterns in relation to bio-physical gradients (in terrain, soil parameters, biomass and stocking density; Fig. 4) a canonical correspondence analysis was performed on the thirty most important species (accounting for 69% of TeAGB, Table 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com