Sentence examples for alone methods from inspiring English sources

The phrase "alone methods" is not correct and does not convey a clear meaning in written English.
It may be intended to describe methods that are used independently or without assistance, but the phrasing is awkward and unclear.
Example: "The study focused on alone methods, which proved to be less effective than collaborative approaches."
Alternatives: "independent methods" or "solo methods".

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9 For those reasons alone, methods for preventing myopia and controlling its progression are urgently needed.

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Fig. 3 Unused aligner Fig. 4 Aligner cleaned by rinsing with water alone (method 1).

Obviously, among the six methods, there is not an alone method which can correct the dense errors in random network coding.

In 2007, the EpiSkin™ test method was scientifically validated and recognized as the stand alone method to discriminate skin irritants (R38) from non-irritants (no label) according to the definition of the EU risk phrases.

With Beagle alone (method C), the imputation error rate was 0.67%.

In terms of average misclassifications per day, the proposed CTA method achieved 53.1 misclassified minutes per day, while the acceleration alone method generated 257 misclassified minutes per day and the temperature alone method produced 468 misclassified minutes per day.

We have rigorously assessed the method, which shows that the traditional acceleration alone method tended to predict non-wear events better than wear events, while temperature data alone predicted wear but not non-wear well.

Hybrid methods (combining two methods or more) are recently proposed for overcoming problems posed by stand-alone methods, while extracting and compounding the benefits that are individually offered.

The results (Table 2) for USR, UF4 and UF5 as stand-alone methods are all fairly comparable and are worse than the MACCS key fingerprint on all measures.

Eight numerical examples (including the inference of the hyper-parameters of Gaussian processes, widely used in machine learning for signal processing applications) illustrate the efficiency of sticky schemes, both as stand-alone methods to sample from complicated one-dimensional pdfs and within Gibbs samplers in order to draw from multi-dimensional target distributions.

Participatory surveillance methods are not intended to be stand-alone methods, but are used to complement existing activities to increase sensitivity and ensure that high risk and marginalized populations are well represented in the overall system (Mariner et al. 2002).

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