Sentence examples for customised model from inspiring English sources

A number of studies that found that adjusting for maternal characteristics did not improve detection of neonatal morbidity, 17 35 36 has led to an argument that the perceived benefits in the customised model are not actually a result of customising for maternal characteristics.

Even so, it's very much a customised model that was created with a specific vision in mind.

Before Aftermath, he worked on a series of smaller self-contained pieces called "A Riot in a Jam Jar", built with actual jam jars and customised model railway figurines.

Pang et al. developed customised models for biparietal diameter, head circumference, abdominal circumference and femur length, separately, but not for estimated fetal weight [ 9].

By elucidating the molecular basis behind individual differences in outcome, we will be able to design customised models for therapeutic intervention and maximise the clinical impact of trabectedin in patients with advanced pretreated breast cancer.

Tests are available to determine whether the assessment error is significant or not 40 and customised models may be applied to take into account any such potential assessment errors.

Following this, we describe the specific methodological steps and decisions made to customise this model for Auckland, New Zealand.

Through the innovative use of computational tools in architectural practice, customised building information models can adopt an ad-hoc approach toward balancing risk, probability, and ambiguity against an idealized design.

Meddings and Trim pioneered an "organic" design technique, informally known as "gubbins", whereby exteriors of models and sets were customised with parts drawn from model kits and other products, such as children's toys.

In addition to the existing InterMine classes, we have customised the InterMine data model and created new classes to collate biological data types most likely to help facilitate target discovery (Table S1).

Furthermore, we put forward a parameter estimation approach that establishes recursive higher-order hidden Markov model (HOHMM) filtering algorithms customised for the regime-switching evolution of model parameters.