Deep learning methods have been introduced for fault diagnosis of rotating machinery.Most methods have good performance when processing bearing data at a certain rotating speed.However, most rotating machinery in industrial practice has variable working speed.When processing the bearing data with variable rotating speed, the existing methods have l

Abstract Background In flowering plants, proper seed development is achieved through the constant interplay of fertilization products, embryo and endosperm, and maternal tissues.Communication between these compartments is supposed to be tightly regulated at their interfaces.Here, we characterize the deposition pattern of an apoplastic lipid barrier

Considering the global and Russian experience in grape accessions preservation, one of the most reliable ways is the creation of a duplicate in vitro CURCUMIN-95 collection.However, in connection with the creation of duplicate grape collections and development of genome editing techniques, there is a need for selecting the most optimal medium compo

In this study, a steganography Bed Covers method based on BERT transformer model is proposed for hiding text data in cover text.The aim is to hide information by replacing specific words within the text using BERT’s masked language modeling (MLM) feature.In this study, two models, fine-tuned for English and Turkish, are utilized to perform s

Historically, reconciliation has been viewed as a quality test of model estimates as well as a powerful tool for detecting and correcting problems in all stages of mine operations from resource estimation to metal production.If used correctly, reconciliation helps to better predict the life of mine (LOM), improves the adherence of production plans