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We draw on the widely accepted definition of entrepreneurship proposed by Shane and Venkataraman (2000, p.218) in their seminal paper: 'the processes of discovery, evaluation, and exploitation of opportunities; and the set of individuals who discover, evaluate, and exploit them'.
A 'holy grail' of translational biomarkers with respect to drug-induced liver injury (DILI) will be the discovery, evaluation, and qualification of those that provide accurate prognoses regarding individuals that will go on to experience liver failure from those that recover given modest increases in ALT, AST and total bilirubin (TBL).
This indicates the passionate individual was more to engage in opportunity discovery, evaluation, and exploitation.
That means the presence of unpredictable environment also influence the discovery, evaluation, and exploitation of new opportunities by firms.
Entrepreneurial engagement involves the discovery, evaluation, and exploitation of opportunities by individuals (Sarason et al. 2006; Shane and Venkataraman 2000; Lim et al. 2016).
That is, their businesses demonstrated the discovery, evaluation and exploitation of novel opportunities, such as addressing customers that were not currently served (exploitation) or developing new products or services (discovery).
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In contrast, rodent (e.g. rat and mouse) models have emerged as the most commonly used animal models in TBI research because they are widely available, cost-effective, amenable to many behavioral, physiological and drug discovery evaluations, and, particularly in the case of mice, offer a wide variety of genetically modified strains.
To critically review and illustrate current methodological and statistical considerations for bladder cancer biomarker discovery and evaluation.
Here we introduce Datasets2Tools, a comprehensive index and platform for the discovery and evaluation of an initial set of 31,473 canned bioinformatics analyses applied to 6,431 datasets via selected tools that provide persistent canned analysis URLs.
Computational methods for predicting compounds of specific pharmacodynamic and ADMET (absorption, distribution, metabolism, excretion and toxicity) property are useful for facilitating drug discovery and evaluation.
Thus, knowledge discovery and evaluation of robustness is shown to be successfully achieved using visualisation and interaction in either continuous or discrete domains.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com