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Introduction: Broca's Aphasia (BA) is a language disorder that causes grammatical errors in the language production skills of patients. Contemporary studies revealed the fact that BA patients also have difficulty in analyzing the meaning of phrases and sentences and comprehending the real meaning of the discourse produced by the speaker. The purpose of this study is to investigate possible effect of syntactic movement by changing the word positions in the sentence with morphological markers in order to produce clauses without changing the meaning on the phrasal comprehension skills of Turkish speaking patients with BA.
View Article and Find Full Text PDFPaying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations.
Commun Biol
January 2025
Dept. Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA.
Predicting novel mutations has long-lasting impacts on life science research. Traditionally, this problem is addressed through wet-lab experiments, which are often expensive and time consuming. The recent advancement in neural language models has provided stunning results in modeling and deciphering sequences.
View Article and Find Full Text PDFExploring extracellular RNA as drivers of chemotherapy resistance in cancer.
Mol Biol Rep
January 2025
Centre for Research Impact & Outcome-Chitkara College of Pharmacy, Chitkara University, Punjab, India.
Chemotherapy resistance (CR) represents one of the most important barriers to effective oncological therapy and often leads to ineffective intervention and unfavorable clinical prognosis. Emerging studies have emphasized the vital significance of extracellular RNA (exRNA) in influencing CR. This thorough assessment intends to explore the multifaceted contributions of exRNA, such as exosomal RNA, microRNAs, long non-coding RNAs, and circular RNAs, to CR in cancer.
View Article and Find Full Text PDFMorphologically-analyzed and syntactically-annotated Quran dataset.
Data Brief
February 2025
Arabic Department, University of Sharjah, UAE.
This paper introduces the Morphologically-Analyzed and Syntactically-Annotated Quran (MASAQ) dataset, a comprehensive resource designed to address the scarcity of annotated Quranic Arabic corpora and facilitate the development of advanced Natural Language Processing (NLP) models. The Quran, being a cornerstone of classical Arabic, presents unique challenges for NLP due to its sacred nature and complex linguistic features. MASAQ provides a detailed syntactic and morphological annotation of the entire Quranic text, utilizing a rigorously verified text from Tanzil.
View Article and Find Full Text PDFIntroduction: Apraxia of speech (AOS) is a motor speech disorder characterized by sound distortions, substitutions, deletions, and additions; slow speech rate; abnormal prosody; and/or segmentation between words and syllables. AOS can result from neurodegeneration, in which case it can be accompanied by the primary agrammatic aphasia (PAA), which when presenting together are called AOS+PAA. AOS can also be the sole manifestation of neurodegeneration, termed primary progressive AOS (PPAOS).
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