Predicting the maximum available frequency of short-wave communication presents the challenges of low prediction accuracy of classical prediction model methods and difficulty in obtaining training set data for machine learning prediction methods.To address this issue, a model-data dual-driven bidirectional gated recurrent unit (BiGRU) network for s
Small nucleolar RNAs (snoRNAs) are non-coding RNAs involved in RNA modification and processing.Approximately half of the so far identified snoRNA genes map within the intronic regions of host genes, and their expression, as well as the expression of their host genes, is dependent on transcript splicing and maturation.Growing evidence indicates that
Sea turtles are a taxon of conservation concern and are highly migratory, exposing them to a variety of threats (e.g., fisheries bycatch, direct harvest) across their lifetime.Understanding the abundance of nesting females, hatchling production, and migratory movements - three of the most basic biological data needs for this species group - is impe
Automatic Short-Answer Grading (ASAG) is an application for recognizing textual entailment in smart education.With the continuous expansion of the application scope of artificial neural networks, many deep learning viqua-f4 models have been applied to grading short-answer texts.However, the coding structures and interaction forms of existing models