AbstractWe introduce ART, a new corpus-level autoencoding approach for training dense retrieval models that does not require any labeled training data.Dense retrieval is a central challenge for open-domain tasks, such as Open QA, where state-of-the-art methods typically require large supervised datasets with custom hard-negative mining and denoisin

The object Geri Chairs of the study is the problem of the ongoing epidemic, which affects the entire society and many fields of activity.Using associative logic, I focused on the approach which states that development based on ecology cannot be learned at school as the Horse Bridle Accessories key of development is awareness.I presented the topic e

Abstract Background The ability to accurately predict essential genes intolerant to loss-of-function (LOF) mutations can dramatically improve the identification of disease-associated genes.Recently, there have been numerous computational methods developed to predict human essential genes from population genomic data.While the existing methods are h

Spoladea recurvalis F.is a major pest moth of amaranth (Amaranthus spp.) flowers worldwide, with a potential of causing complete foliage loss under severe outbreaks.Chemical insecticides are uneconomical for resource-poor farmers and pose health and environmental risks.Host plant resistance (HPR) to insects is an effective, economical and environme