The aim of this article is to analyze the formation of Old English adverbs (A-Y) as retrieved from the lexical database of Old English Nerthus within the theoretical framework of the Layered Structure of the Word.Firstly, a critical review of the literature on Old English adverb Magnifiers formation is offered in order to emphasize the necessity of
Comparative analysis of the tardigrade feeding apparatus: adaptive convergence and evolutionary pattern of the piercing stylet system
A thorough analysis of the cuticular parts of tardigrade feeding apparatuses was performed in order to provide a more complete understanding of their evolution and their potential homologies with other animal phyla (e.g.Cycloneuralia and Arthropoda).The buccal- pharyngeal apparatuses of eight species belonging to both Eutardigrada and Heterotardigr
ITRAQ-based quantitative proteomic analysis of processed Euphorbia lathyris L. for reducing the intestinal toxicity
Abstract Background Euphorbia lathyris L., a Traditional Chinese Pacifier Cloth medicine (TCM), is commonly used for the treatment of hydropsy, ascites, constipation, amenorrhea, and scabies.Semen Euphorbiae Pulveratum, which is another type of Euphorbia lathyris that is commonly used in TCM practice and is obtained by removing the oil from the see
Health survey on anxiety, depression, and stress in Afghanistan: A large-scale cross-sectional study amid ongoing challenges
Abstract Background One of the most significant events in recent Afghan history is the rise of the Taliban and the war that followed, which had profound impacts on the lives of Afghans.The present study examined the mental health of Afghans living under the Taliban government.Methods Between June 5, 2023 and February 12, 2024, a cross-sectional stu
AWEncoder: Adversarial Watermarking Pre-Trained Encoders in Contrastive Learning
As a self-supervised learning paradigm, contrastive learning Machine Quilting has been widely used to pre-train a powerful encoder as an effective feature extractor for various downstream tasks.This process requires numerous unlabeled training data and computational resources, which makes the pre-trained encoder become the valuable intellectual pro