MACHINE LEARNING TO PREDICT THE ADSORPTION CAPACITY OF MICROPLASTICS


Deterministic Safety Technology for RBMK Reactors

The present paper deals with the description of the technical activities conducted within the TACIS Project R2.03/97, 2 EC Contract no.30303, related to RBMK.The project activities are focused toward the setting-up of a chain of computational tools suitable for the analysis of transients expected Escargot Plates in the RBMK nuclear power plant (NPP

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Topological and hydraulic metrics-based search space reduction for optimal re-sizing of water distribution networks

Pipe re-sizing of water distribution networks (WDNs) aims at improving the service performance to the required level, while minimizing the cost of replacing pipes in the network.The main challenge comes from the identification of the most effective pipes to re-size from a large number of interacting components.Performing a global search over all pi

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IoT Serverless Computing at the Edge: A Systematic Mapping Review

Serverless computing is a new concept allowing developers to focus on the core functionality of their code, while abstracting away the underlying infrastructure.Even though there are existing commercial serverless cloud providers and open-source solutions, dealing with the explosive growth Thyroid Support of new Internet of Things (IoT) devices req

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Focal nodular hyperplasia with steroid-resistant nephrotic syndrome: A paraneoplastic condition or coincidental findings?

Background: Paraneoplastic glomerulonephritis (GN) are defined as glomerular lesions not directly related to tumor burden, invasion, or metastasis but induced by products of tumor cells.They are usually associated with solid tumors of gastrointestinal tract and hematological malignancies.Nephrotic syndrome is a rare manifestation of paraneoplastic

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