Sentence examples for knowledge consensus from inspiring English sources

The conclusion, and proposition for future on studies on triple helices, is that a balanced competence set influences positively the functionality of Triple Helix constellations, and more specifically knowledge, consensus and innovation spaces in the core of them, and provides all three institutional spheres with a tool to customise their interaction.

Thus, the question is about how new knowledge emerges, how it generates variation and how selection is made, and thus, moving beyond the narrow organisational and sector-based approaches is fundamental to better support construction of knowledge, consensus and innovation spaces that play a central role in Triple Helix constellations (Ranga and Etzkowitz 2013).

The performance of SSCC was influenced by amount of prior knowledge, consensus function and base clustering.

A knowledge consensus workshop was conducted, at which ratings were generated about the importance of including any specific area of content into the curriculum for various cadres.

However, it offers a better privacy and selective transparency of transactions by using proof-of-zero-knowledge consensus algorithm.

To our knowledge, our consensus guidelines on analgesia and sedation in dying ICU patients are the first of their kind developed using consensus methods and involving coroners.

It is because without affecting other experts, an individual expert can find the ideas and solution based on expert knowledge, so consensus results are more reliable based on individual expertise.

This review presents a synthesis of the state of knowledge and consensus trends regarding the various cis-acting and trans-acting components that define spatio-temporal regulation of rice genes based on representative examples from both foundational studies in other model and non-model plants, and more recent studies in rice.

Its primary motivation is the need to present a synthesis of the current state of knowledge and consensus trends regarding the cis-acting and trans-acting components of transcriptional regulatory modules using representative examples from both seminal and more recent studies.

Despite their considerable merit, predictive bioinformatics tools or massively parallel methods such as microarrays remain limited by the need for knowledge of consensus or sequence which may not yet exist, and are sometime affected by false-positive [63] [65].

The process that each focus group used included reliance on clinical and scientific knowledge, brainstorming, consensus building and literature reviews.