Sentence examples for model which fails from inspiring English sources

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Prisons typically rely on the abstinence-only model, which fails miserably with heroin addicts.

The effects of surface roughness are not considered in the traditional motor model which fails to reflect the actual contact mechanism between the stator and slider.

Furthermore, we considered transfusion a time-insenstive dichotomous variable in only the final multivariable model, which fails to account for the important interaction between time, transfusion, and hemoglobin concentration.

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In 2010 he was forced to give up on this model, which failed to get off the ground due to "many troubles with weight and engine power", as he wrote in a report on his efforts.

Asthma trends however, did not fit well with the hygiene model, which failed to explain the urban predominance of asthma, the increase in non-allergic asthma, the disparity between atopy and allergy in some populations, and the asthma inducing properties of some infections [ 22- 27].

Instead, the patent flaw goes overlooked, the quirks in the licensing system persist and reliance upon animal models which fail as a safety screening test for new drugs for humans continues.

These internal processes will manifest themselves in vulnerable business models which fail to generate positive cash flow.

In this contribution, we present computational methods which exploit a novel thermodynamically motivated problem transformation, entitled temperature collocation, rather than using classical tray-by-tray models which fail in pinched regions.

They are also dependent on economic models, which failed in many ways ahead of the crisis, both at the Fed and on Wall Street.

The problem is structural, i.e., it's in the models, which fail to adequately account for the loss of wealth that's beset most households, the subsequent deleveraging, and the impact of these dynamics on the macroeconomy (see here, e.g).

Service planning based on existing models, which fail to capture these interactions, may result in a mismatch between supply and demand for renal services in primary and secondary care.

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