Sentiment analysis is an essential task that involves the extraction, identification, characterization, and classification of textual data to understand and categorize the attitudes and opinions expressed by individuals. While other languages have extensive datasets in this field, the number of sentiment analysis datasets in the Kurdish language is extremely limited, highlighting the necessity to build datasets for the language to advance its development. This paper presents a Twitter dataset comprising 24,668 tweets from the initial sample of 30,009 texts.
View Article and Find Full Text PDFThe endoplasmic reticulum (ER) employs stringent quality control mechanisms to ensure the integrity of protein folding, allowing only properly folded, processed and assembled proteins to exit the ER and reach their functional destinations. Mutant proteins unable to attain their correct tertiary conformation or form complexes with their partners are retained in the ER and subsequently degraded through ER-associated protein degradation (ERAD) and associated mechanisms. ER retention contributes to a spectrum of monogenic diseases with diverse modes of inheritance and molecular mechanisms.
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