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As Mr Snowden has shown, insiders bent on leaking sensitive data can cause huge damage.
Redundancy in data can cause convergence instability of models.
Any lag in data can cause a loss in users and potential revenue.
Random traffic data can cause inaccurate or even incorrect assessment of an intersection performance.
Even a single security event source such as network traffic data can cause Big Data challenges.
And this standard will be applied only when it is foreseeable that the algorithms and data can cause harm.
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While this makes for a more convenient and flexible work experience for the end-user, allowing employees to access sensitive company data and information can cause a lot of headaches for businesses and their IT staff.
Any link breakages during the delivery process of a fragment of a data packet can cause the failure of the whole data packet delivery.
In simulations, the substitution process conforms to a specified model; thus, the imprecise fit of the model to the data that can cause rate estimation error for empirical data [34] should not apply here.
When different studies employ different methods in analyzing raw data this can cause unwanted (study-dependent) differences on the normalized data.
Missing information may impede or bias analysis of study data and can cause delays.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com