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Classical light microscopy techniques cannot be used directly in imaging most biological structures, as they do not significantly absorb or scatter light [ 1].
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The discovery of proteins with this unique backbone characteristic has challenged the preconceptions about the complexity of biological structures, as well as current folding theories.
Our model reproduces most of the graph properties exhibited by Caenorhabditis elegans, including its small-world structure and allows generating surrogate networks with realistic biological structure, as would be needed for complex information processing/computing tasks.
Salamanders are among the few vertebrates that are capable of regenerating complicated biological structures as adults (Nye et al., 2003).
Since this phenotype obeys the same rules of biological structure as the performing phenotype, as explained above, it has long-term enabling effects on evolution (in addition to short-term ones).
Importantly, there is no longer a question from this perspective of how the writing phenotype (and thus evolvability) evolved independently of other biological structure, as though we are still looking for an explanation of origins in an ns/rm core.
We conclude that in co-expression networks well-connected hubs are better seen as components of biological structures (such as muscle structural isoforms) and processes (such as the cell cycle) which themselves are tightly regulated, not quite the same thing.
Second Harmonic Generation (SHG) microscopy is a nonlinear optical technique suitable for structural and functional imaging of biological structures such as collagen, muscle and cell membranes [ 1 5].
In contrast to existing technologies the chemical "search engine" could be combined with biological structures such as blood vessels, or pathogens, offering a way to quickly screen the effects of new molecular combinations.
They can be arcs of graphs of wavelets, Julia sets, Sierpinski triangles, or geometrical models for intricate biological structures such as leaf veins.
This results in a complete methodology for characterizing the reorientation evolution of different fibered biological structures, such as cells.
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