WITHIN-HOST COMPETITION BETWEEN TWO ENTOMOPATHOGENIC FUNGI AND A GRANULOVIRUS IN DIATRAEA SACCHARALIS (LEPIDOPTERA: CRAMBIDAE)

Within-Host Competition between Two Entomopathogenic Fungi and a Granulovirus in Diatraea saccharalis (Lepidoptera: Crambidae)

We provide insights into how the interactions of two entomopathogenic fungi and a virus play a role in virulence, disease development, and pathogen reproduction for an economically important insect crop pest, the Querectin sugarcane borer Diatraea saccharalis (Fabricius) (Lepidoptera: Crambidae).In our model system, we highlight the antagonistic ef

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Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models

Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques.In particular, we utilized autoencoder-based deep learning models Felt Decoration for unsupervised learning using only normal training vibration data.Datasets were generated from South Korean high-speed train data, and sei

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