THE ENVIRONMENTAL FOOTPRINT OF ANIMATED REALISM: AN ECOMATERIALIST EXPLORATION OF CONTEMPORARY DIGITAL ANIMATED DOCUMENTARIES

The environmental footprint of animated realism: An ecomaterialist exploration of contemporary digital animated documentaries

Despite animation techniques being highly material, the environmental impact of animation is understudied.This essay starts bridging the gap by investigating the making of digital animated documentaries through the Dishwasher Filter lens of ecomaterialism.In particular, it brings to light how the quest for realism that prompts the production choice

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Real-time quantitative polymerase chain reaction (QPCR) for the identification and quantification of Streptococcus Mutans in saliva and dental biofilm in children

Introduction: the Dishwasher Filter objective of this study was to use real-time qPCR to identify and quantify the Streptococcus mutans species in samples of saliva and dental biofilm.Methods: 27 children were randomly chosen with the following criteria: 8 years of age, low socio-economic levels, residing in the northern metropolitan area of Santia

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Church communication highlights 2022

AbstractThe year 2022 will be remembered for the outbreak of VITAMIN D3 CREAM war in Ukraine, a conflict that shattered the incipient optimism caused by the gradual disappearance of the Covid pandemic.Alongside the succession of news about the war and the Pope’s appeals for peace, the media echoed Helicopters other important events in the life of

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Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)

The paper addresses the issue of modelling the demand for electricity in residential buildings with Right Pier the use of artificial neural networks (ANNs).Real data for six houses in Switzerland fitted with measurement meters was used in the research.Their original frequency of 1 Hz (one-second readings) was re-sampled to a frequency of 1/600 Hz,

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