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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Insult bilan xastalangan bemorlarda nutq buzilishlari korreksiyasiga yondashuvlar

descriptionPublicationkeyboard_double_arrow_right Article 02 Mar 2026Publisher:Zenodo
Authors: Laylo Maxkamova;

doi: 10.5281/zenodo.18848842 , 10.5281/zenodo.18848841

Insult bilan xastalangan bemorlarda nutq buzilishlari korreksiyasiga yondashuvlar

Abstract

Maqolada insult bilan kasallangan bemorlarda nutq buzilishlarini korreksiya qilishning nazariy asoslaritahlil qilinadi. Nutq faoliyatining neyropsixologik mexanizmlari, uning bosh miya funksional tizimlari bilan bog‘liqligi hamdaafaziya shakllarining ilmiy tasnifi yoritiladi. Tadqiqotda nutqni tiklash jarayoniga doir neyropsixologik va psixolingvistikyondashuvlar, xususan, nutqning funksional tizim sifatidagi talqini, miya bloklari nazariyasi va neyroplastiklik tamoyillariilmiy jihatdan asoslab beriladi

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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