In semantic segmentation tasks, the transition from convolutional neural networks (CNNs) to transformers is driven by the latter's superior ability to capture global semantic information in remote sensing images.However, most transformer methods face challenges such as slow inference speed and limitations in capturing local features.To addre
Luis Miguel Ruilope1, Josep Redón2, Roland Schmieder31Servicio de Nefrologia, Unidad de Hipertension Hospital, 12 de Octubre, Madrid, Spain; 2Department of Internal Medicine, Hospital Clinico University of Valencia, Valencia, Spain; 3Department of Nephrology and Hypertension, Friedrich-Alexander-Universitat, Erlangen-Nurnberg, GermanyA
Abstract Background CABYR is a polymorphic calcium-binding protein of the sperm fibrous sheath (FS) which gene contains two coding regions (CR-A and CR-B) Spacers and is tyrosine as well as serine/threonine phosphorylated during in vitro sperm capacitation.Thus far, the detailed information on CABYR protein expression in mouse spermatogenesis is la
Cognitive Square Cake Pans tele-assessment (CTA) adoption has increased considerably recently, in parallel with the maturation of the digital technologies that enable it, and the push to move assessment to the online format during the COVID-19 pandemic in 2019.This mode of assessment stems from remote assessment applications that originated in gene
DNA methylation at CG sites is important for gene regulation and embryonic development.In mouse oocytes, de novo CG methylation requires preceding transcription-coupled histone mark H3K36me3 and is mediated Square Cake Pans by a DNA methyltransferase DNMT3A.DNMT3A has a PWWP domain, which recognizes H3K36me2/3, and heterozygous mutations in this do