Sentence examples for quantifiable prediction from inspiring English sources
The second step could then be to quantify the factors influencing the fit, to allow better and quantifiable prediction and planning of successful IT adoption – e.g. if we knew that IT skills explain around 65% of the variability of fit between IT and users, then we may consider it useful to invest in training session.
To Destin, investing in an early stage company is never about the mathematics of the business model or any quantifiable prediction of success, but rather like falling in love.
Theoretical work is valued the most because it leads to quantifiable predictions that often transcend the immediate problem.
The algorithm is designed to enable quantifiable predictions of likelihood for the presence of multiple organisms in a complex sample.
As such, there has been, until recently, an inconvenient absence of computational models capable of making accurate quantifiable predictions in the literature.
Analyses and simulations of coexistence equilibria demonstrate the emergent property of ecological equivalence amongst species with a rich diversity of attributes, leading to novel predictions for a quantifiable gradation in species-area relationships between neutral and niche models.
There are six quantifiable features commonly used by de novo ncRNA prediction approaches including: the thermodynamic stability of the structures formed by individual sequences, as measured by the mean of the Z-score of the minimum free energy (MFE) structure of sequences in a putative alignment [ 21, 22].
Although some progress has been made regarding this topic [ 17– 20] more quantifiable data are needed to make more accurate predictions on for example the factors affecting range expansions and connectivity among populations.
A reliable and quantifiable metric for frailty enables the development of risk-prediction models and clinical scoring systems that will aid targeted interventions to vulnerable populations that will benefit most.
The elements of influenza pandemic risk assessment that are most amenable to computational prediction are those that correspond to well-defined, quantifiable molecular-scale traits such as receptor-binding preference, antiviral susceptibility, antigenicity of HA and NA, and possibly T-cell epitopes.
