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The "university partnership canvas" is inspired by the "business model canvas" developed by A. Osterwalder and Y. Pigneur in their book "Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers" (New York: Wiley, 2010).
Following model generation, a multiple-groups analysis was conducted to test for model structure invariance across the three cohorts of students.
Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers by Alexander Osterwalder and Dr. Yves Pigneur Business Model Generation is a handbook for visionaries, game changers, and challengers striving to defy outmoded business models and design tomorrow's enterprises.
Dr. Alex Osterwalder is the international bestselling author of Business Model Generation, a book about business models around this approach called the Business Model Canvas that helps companies discover new ventures and large companies to think about business models and reinvent themselves.
For pharmacophore model generation, a systematic understanding of ligand binding and the elucidation of essential amino acids participating in the process is crucial.
For our model generation, a maximum number of allowable parents was set at 10, and the threshold Bayes factor was set at 7. The variables, including the outcome variable, were divided at quartiles according to frequency.
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While the classical approach used a certain hypothesis (e.g. the rôle of lipophilicity) from which a model was generated, some of the new tools are based on model generation without an a priori hypothesis.
Model Generation is a new modeling paradigm designed specifically for rapid modeling of large multi-scale systems in the industrial practice.
The paper introduces an ongoing research of PLC program processing method for automatic simulation model generation of a conveyor system of a leading automotive factory.
Towards these efforts, we used a ligand based pharmacophore model generation from a dataset of known inhibitors whose activities against β-secretase hovered in the nano molar range.
The methods used during the creation of the context model can be grouped into three major parts: a factor identification phase, a model generation phase and a model validation phase (see Figure 2).
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