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For the generation of the (text {CSI}_{text {lte}}^{text {R-11}}) reports, UE ({nin mathcal {N}}) calculates the SINR and the achievable data rates, on PRB ({{lin mathcal {L}}}) under interference scenario (jin mathcal {J}').
Future work in this direction can be providing the support for multi lingual text summarization over the MapReduce framework in order to facilitate the summary generation from the text document collections available in different languages.
The muting pattern describes the assumed muting conditions during the generation of the (text {CSI}_{text {lte}}^{text {R-11}}) reports for the different interference scenarios, while the muting decision is imposed by the central controller, to the BSs within the cooperation cluster, as the result of the implementation of the CS with muting scheme.
In the following generation, the entire text of al-Bitruji was translated by Samuel's son Moses.
The strategy, which came to be known as "hybrid war," was an amalgam that states have used for generations, but the text took on the status of a legend, and is now known in international military circles as the Gerasimov doctrine.
Where material features of the letter have often been ignored by past generations fixated on the text alone, contributors to this volume examine how such elements as handwriting, seals, ink, and the arrangement of words on the manuscript page were significant carriers of meaning alongside epistolary rhetorics.
The text generation model is based on keyword generation model and text segment generation model of which the important keywords are extracted from system corpus to serve as the backbone of the template.
"In terms of the generation of text, this is the story of an individual but always planned in the context of collective leadership".
C.A. and C.F. generated the body of the text including generation of figures.
transcription; familiarisation with the text; generation of initial codes; searching for themes; reviewing themes; and generating thematic maps.
The stages include: transcription; familiarisation with the text; generation of initial codes; searching for themes; reviewing themes; and generating thematic maps.
Write better and faster with AI suggestions while staying true to your unique style.
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