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More mutations are predicted than in the core, seemingly in order to optimise the network of complementary interactions between polar and charged groups.
"One of the biggest challenges with pre-founders is that they usually don't have a network of complementary co-founders," says Icebreaker's third co-founder and Partner Lasse Lehtinen.
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A similar comparison of both the laterality and elevation axes (Supplementary Fig. 6) showed a general pattern of increased segregation between functional networks of complementary parts of the primary visual cortex.
All species can be represented in a network of six complementary habitats, including open oak woodlands, agricultural fields separated with hedges, humid grasslands, as well as serpentine grasslands.
It could start with something akin the Bitcoin "blockchain" idea and move towards a network of digital complementary currencies, integrating new financial incentives that are in vogue at impact investing, slow money and social capital circles and layer it upon some of the "bioneering" solutions that are freqently discussed at green conferences.
32 Therefore, it is common to incorporate into a covariation network several types of complementary biological data that can directly or indirectly indicate that one gene regulates another.
Our results indicate that the CPB gut employs a multienzyme network of peptidases with complementary specificities to efficiently degrade ingested proteins.
We provide the, to the best of our knowledge, first large-scale study that analyses relations between the position of researchers in scientific collaboration networks and citation dynamics, using a set of complementary network-based centrality measures.
Here, we demonstrate the ability to recreate the fibrous like network through a series of complementary rinses of polymeric worm-like micelles, resulting in a 3-dimensional (3D) porous network that can be deposited layer-by-layer onto any surface.
A neural network using a combination of complementary vibration and thermal damage detection signatures is proposed.
Our prediction method is based on a random forest classifier and utilizes a set of complementary network centrality measures.
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