Sentence examples for evolution and develop from inspiring English sources

The early detection also allowed the scientists to track the supernova throughout its evolution and develop models to explain what they saw.

In an effort to understand how to improve student learning about evolution, a major thrust of science education research has been to focus on students' naive ideas (misconceptions) about evolution and develop pedagogies to initiate conceptual change (e.g., Demastes et al. 1995).

Taking these correlations together, the dynamics of the tumour progression offers an opportunity to interfere in the tumour evolution and develop a more customized treatment.

Here, we review general arguments for the importance of selection at levels above that of organisms in evolution, and develop them further for a common genomic feature: the carriage of transposable elements (TEs).

This paper assesses the hydrogeological implications of glacial landscape evolution and develops a conceptual model of glacial landscape evolution and hydrogeological interaction.

While continuing to affirm that the Bible is the Word of God, many Evangelicals have been open to contemporary trends in critical biblical scholarship, found means to accommodate a belief in biological evolution, and developed a consciousness of the role of culture in shaping theological perspectives.

Arnold, 56, focuses her work on "directed evolution" and developing biofuels.

These results further highlight the significance of our findings on modeling network evolution and developing model-based methods for ancestral network reconstruction (Navlakha and Kingsford 2011; Zhu and Nakhleh 2012).

Interestingly, organisms that possess elegant and economical organization of their gene network (like the one in Fig. 3) appear to arise in two different ways: either by remaining simple throughout their evolution and developing homeostasis of [A] and [X] through adjustment of kinetic constants alone, or by first becoming highly complex and then going through the process of simplification.

In this paper, we introduce an advanced architecture of K-means clustering-based polynomial Radial Basis Function Neural Networks (p-RBF NNs) designed with the aid of Particle Swarm Optimization (PSO) and Differential Evolution (DE) and develop a comprehensive design methodology supporting their construction.

The goal was for the students to see evolution in action and develop experiments that would result in the bacteria's evolving increasing resistance to whatever external pressure the students applied.