1,724,437 research outputs found
An interview with Michael Barresi
Full text linkMichael Barresi is Professor of Biological Sciences at Smith College, Northampton, MA, USA, where he uses the zebrafish to understand central nervous system development. Michael is also Program Director of the ‘Student Scientists’ outreach project and has made significant contributions to teaching developmental biology, including being co-author and illustrator of the textbook Developmental Biology, producing developmental documentaries and starting the Online Developmental Teaching Forums. He was awarded the 2021 Viktor Hamburger Outstanding Educator Prize from the Society of Developmental Biology (SDB). We caught up with Michael over Teams to hear more about his career and love of learning
Experimental investigation of the recovery of soaked paper using evaporative freeze drying
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Santa Lucia, Francesco Branciforte Barresi duca di
No full textProfilo biografico di Santa Lucia, Francesco Branciforte Barresi duca diBiographical profile of Santa Lucia, Francesco Branciforte Barresi duke o
Modelling of methanol synthesis in a network of forced unsteady-state ring reactors by artificial neural networks for control purposes
Full text linkA numerical model based on artificial neural networks (ANN) was developed to simulate the dynamic behaviour of a three reactors network (or ring reactor), with periodic change of the feed position, when low-pressure methanol synthesis is carried out. A multilayer, feedforward, fully connected ANN was designed and the history stack adaptation algorithm was implemented and tested with quite good results both in terms of model identification and learning rates. The influence of the ANN parameters was addressed, leading to simple guidelines for the selection of their values. A detailed model was used to generate the patterns adopted for the learning and testing phases. The simplified model was finalised to develop a model predictive control scheme in order to maximise methanol yield and to fulfil process constraints
Simulation of an industrial-scale process for the SCR of NOx based on the loop reactor concept
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