Towards robust diagnosis of COVID-19 using vision self-attention transformer.

The outbreak of COVID-19, since its appearance, has affected about 200 countries and endangered millions of lives. COVID-19 is extremely contagious disease, and it can quickly incapacitate the healthcare systems if infected cases are not handled timely. Several Conventional Neural Networks (CNN) based techniques have been developed to diagnose the COVID-19.

Analysis of multiple pesticide residues in market samples of okra and associated dietary risk assessment for consumers.

European Union Reference Laboratory method for Fruits and Vegetables (EURL-FV-2010-M1) for the quantification of pesticide residues was verified for the determination of multiple pesticide residues in okra. The targeted pesticides were extracted using acetonitrile with citrate buffer salts followed by cleanup with primary secondary amine (PSA) and analyzed on LC-MS/MS. The recoveries for all the targeted pesticides were within an acceptable range of 70.

Determination of pesticide residues in dates using UHPLC-QqQ-MS/MS: method development and validation.

A modified, efficient, and sensitive acetate-buffered QuEChERS extraction method was developed for the quantitative study of 16 commonly applied multiclass pesticides on date palm fruit. The date palm fruit samples were rehydrated by adding water during comminution. Samples were extracted with acidified acetonitrile, buffered with acetate salt.

Method optimization and validation for the routine analysis of multi-class pesticide residues in Kinnow Mandarin and fruit quality evaluation.

The present study describes the selection of a sensitive multi-residue method that can be used for the routine testing of pesticides in Kinnow Mandarin. The citrate-buffered QuEChERS extraction followed by primary secondary amines and C clean-up was found suitable for the analysis of fifty four pesticides. The limit of quantification for the selected pesticides was lower than maximum residue limits (MRLs) set by European Union, Codex Alimentarius Commission (CAC), and twelve other countries.

Control of stripe rust of wheat using indigenous endophytic bacteria at seedling and adult plant stage.

Stripe rust (caused by Puccinia striiformis tritici) is one of the most devastating diseases of wheat. The most effective ways to control stripe rust are the use of resistant cultivars and the timely use of an appropriate dose of fungicide. However, the changing nature of rust pathogen outwits the use of resistant cultivars, and the use of a fungicide is associated with environmental problems.