Sentence examples for model prone to from inspiring English sources

In this paper we study a problem of passive nonlinear targeted energy transfer between a two degrees of freedom long span bridge model prone to coupled flutter and a single degree of freedom nonlinear energy sink (NES).

In the present study, our aim was to improve the biological effect of autologous bone graft by adding an anabolic BMP, with or without bisphosphonates, in an open-fracture model prone to non-union.

Moreover, in a mouse model prone to tumour formation, Nagel et al [ 38] demonstrated that tumour formation did not increase with insulin glargine vs NPH insulin treatment after 18 months.

However, in a transgenic mouse model prone to pregnancy-related mammary tumorigenesis (MMTV-neu mice), the PI-MECs may be the targets for neoplastic transformation (Wagner and Smith, 2005), underlining the complexity of mammary stem cells and their role in malignant transformation.

Vereecke et al. recently developed a mouse model prone to spontaneous colitis (Vereecke et al., 2014), while studying A20 – an inhibitor of both NF-κB and apoptotic signaling that has previously been associated with susceptibility to IBD in humans (Catrysse et al., 2014; Ma and Malynn, 2012).

Because the show is at 11 a.m., models prone to morning sickness have been scheduled to appear later in the show.

Last month, under pressure from the federal safety agency, Toyota stopped building and selling eight models prone to the sticky pedal and extended a new recall to millions of cars worldwide.

The combination of powerful transcriptomics analysis, i.e. RNA-seq, genetically engineered mice models prone to develop tumors and large collection of human tumor transcriptomes offers new opportunities for the discovery and validation of therapeutic targets in the framework of personalized medicine.

That pixel is given the closest value present for that variable in the model; however, the model is prone to over-extensive predictions when the response curve is high (or was increasing) and curtailed by the environment present in the training region.

Yet there is a growing recognition that ignoring model and parameter uncertainties render model predictions prone to statistical bias and underestimation of uncertainty.

We found that the linearity dose-effect model is prone to underestimate the preventive effects for folate against breast cancer compared with the nonlinearity model.