It has been particularly strongly grasped by the accountancy profession, to an extent by policy makers (building upon the idea of "Natural Capital Accounting") and by initiatives seeking to relate such wider concepts of value to the activities of business, notably the Natural Capital Coalition (formerly known as the TEEB for Business Coalition) with its recently released Natural Capital Protocol.
The findings of this study indicate the influence of item context on student pretest responses, and as such they indicate the importance of teachers eliciting and building upon the ideas that students bring to learning about natural selection.
Building upon the ideas of R. Arens and J. Eells (1956) [1] we introduce the concept of spaces of Banach-space-valued molecules, whose duals can be naturally identified with spaces of operators between a metric space and a Banach space.
Partly building upon the ideas of Husserl and other philosophers, while nevertheless also developing their own ideas independently, they made contributions to as many fields as the philosophy of mind, the philosophy of psychology, the philosophy of speech acts, epistemology, social philosophy, the philosophy of values and ontology.
Building upon these ideas, Michael Fox has described "peace as a way of life": "a peaceful way of life will be such as to incorporate nonviolence toward oneself and others, and will be guided by cooperation, mutual respect, creative problem-solving, negotiation of differences, and caring concern or compassion" (Fox 2014, 202).
Thus, to reduce the size of the LPs, we develop a number of new pruning techniques, building upon the ideas of [ 35, 36].
Roy must have known the whole time that there was no building design behind this idea, that time was really fucking upon them and something had to take shape on paper.
This would allow building upon the initial idea of DEMIG POLICY to go beyond rather narrow analyses of 'migration policy effects' and to develop a broader view on the historical role of states and policies in migration processes.
Building upon the same idea, Davoli et al. developed a machine learning approach to directly identify tumor suppressor genes and oncogenes from the somatic alterations observed across cohorts of tumor samples through their mutational and copy number patterns.
