COASTAL SOLID WASTE PREDICTION BY APPLYING MACHINE LEARNING APPROACHES (CASE STUDY: NOOR, MAZANDARAN PROVINCE, IRAN)

Coastal solid waste prediction by applying machine learning approaches (Case study: Noor, Mazandaran Province, Iran)

Nowadays, intelligent systems are used as innovative tools 100w products in different environmental issues.However, the prediction of short-term waste, unlike the long-term scale, is less developed due to more uncertainties and the difficulty in determining measurable independent parameters.In this study, two types of artificial neural networks (ML

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Evidence for a common toolbox based on necrotrophy in a fungal lineage spanning necrotrophs, biotrophs, endophytes, host generalists and specialists.

The Sclerotiniaceae (Ascomycotina, Leotiomycetes) is a relatively recently evolved lineage of necrotrophic host generalists, and necrotrophic or biotrophic host specialists, some latent or symptomless.We hypothesized that they inherited a basic toolbox of genes for plant symbiosis from their common ancestor.Maintenance and evolutionary diversificat

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Dynamic remodeling of lipids coincides with dengue virus replication in the midgut of Aedes aegypti mosquitoes.

We describe the first comprehensive analysis of the midgut metabolome of Aedes aegypti, the primary mosquito vector for arboviruses such as dengue, Zika, chikungunya and yellow fever viruses.Transmission of these viruses depends on their ability to infect, replicate and disseminate from several tissues in the mosquito vector.The metabolic environme

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