Sentence examples for errors and weaknesses from inspiring English sources

Exact(1)

Jobs was exactly the right person for Apple: he was committed to its survival and he'd learnt his errors and weaknesses through his failures at NeXT Computer and successes at Pixar.

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I love myself as much as I can in all my inferiority and flaws, sins and errors, strengths and weaknesses, and my talents and abilities.

His solution is to build "much bigger fences," but he seems optimistic about the fact that many of the most devastating attacks are cases of spear phishing, meaning it comes down to human error and weakness.

All of the algorithms, which include MAS5 (Microarray Suite), RMA (Robust Multichip Average), GC-RM A(Robust Multichip Average with adjustment for GC content of probes) and PLIER (Probe Logarithmic Intensity Error), have strengths and weaknesses [ 46, 47].

All of the algorithms, which include MAS5 (Microarray Suite), RMA (Robust Multichip Average), GC-RM A(Robust Multichip Average with adjustment for GC content of probes) and PLIER (Probe Logarithmic Intensity Error), have strengths and weaknesses, and none was designed to take advantage of the unique strengths afforded by a time series [ 30].

"History is made of accidents which were not the result of some secret plan, but a string of errors, human weaknesses and obsessions," wrote Alexis Papahelas in the conservative daily Kathimerini.

The article criticizes the negative influence of modern analytic, anti-semantic and anti-phenomenological thinking on cognitive semantics, and the errors or weaknesses of analysis it induces in current Mental Space Theory MSTT).

The incident did not set off a debate about what to do in Libya but, rather, incited an almost entirely America-centric one, characterized by politically motivated finger-pointing about U.S. command-and-control weaknesses and errors.

In summary, modelling and coaching were considered crucial for a rapid construction of solid clinical skills, for encouraging residents' reflection about their strengths and weaknesses and for minimising errors that would arise from unsupervised practice.

Findings were able to identify areas of strength (Organizational Learning and Continuous Improvement and Teamwork within units) and weaknesses (Non-punitive response to error, staffing, and Communication Openness).

Hence, stating mean error rates is not sufficient to fully understand the strengths and weaknesses of a disambiguation algorithm.

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