Microelectromechanical system fabrication represents a promising approach for silicon-based flexible electronics, leveraging its scalability and miniaturization merits. However, fabrication-induced geometric deviations stretchable microstructures can... read more
Intrinsically disordered regions (IDRs) in proteins drive phase separation (PS) to form biomolecular condensates, which organize cellular matter. While IDRs are recognized as critical drivers of PS, the systematic identification of sequence motifs go... read more
The widespread use of drones across industries has raised concerns about security threats. To provide a publicly available data set for developing robust drone detection and classification systems, we present a multi-sensor dataset composed of time-s... read more
Monitoring vulnerable Houbara bustards, birds of both ecological and cultural significance, and detecting intruders that can pose a threat to their nests, is critical for effective conservation of these iconic species. Deep learning-based object dete... read more
Alzheimer's disease (AD), a type of neurodegenerative disorder, has seen an increase in cases over the past decade, necessitating the construction of a comprehensive early detection method. Existing methods are typically invasive and costly, so our r... read more
Groundwater represents the main water resource for irrigation in the Ouled Djellal region (southeast of Algeria). Despite the importance of groundwater in this area, its quality and sustainability remain insufficiently studied. Therefore, this study ... read more
The e-commerce platform's function-oriented classification basis will cause items with the same (different) raw materials to be incorrectly classified into different (same) functional categories, posing a challenge to marketing staff who create item ... read more
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