11 documents found, page 1 of 2
João de Deus’s musical perversions
Pinto, José; Medeiros, MargaridaUIDB/05021/2020 UIDP/05021/2020 UIDB/00472/2020 UIDP/00472/2020; This article addresses the music and its interactions in two films directed by João César Monteiro–Recordações da Casa Amarela [Recollections of the Yellow House] and A Comédia de Deus [God’s Comedy]. These are the first two films in God’s Trilogy, a trilogy released between 1989 and 1999. Together, they tell the story of a character called João d...
A Physics-Informed Neural Network (PINN) framework for generic bioreactor model...
Thirugnanasambandam, Monesh kumar; Pinto, José; Moskovkina, Ekaterina; Costa, Rafael S.; Oliveira, Rui Manuel FreitasMany previous studies have explored hybrid semiparametric models merging Artificial Neural Networks (ANNs) with mechanistic models for bioprocess applications. More recently, Physics-Informed Neural Networks (PINNs) have emerged as promising alternatives. Both approaches seek to incorporate prior knowledge in ANN models, thereby decreasing data dependency whilst improving model transparency and generalization c...
Deep hybrid modeling of a HEK293 process
Ramos, João R. C.; Pinto, José; Poiares-Oliveira, Gil; Peeters, Ludovic; Dumas, Patrick; Oliveira, RuiFunding Information: The authors acknowledge GlaxoSmithKline Biologicals SA for providing the experimental data used in this study. JP acknowledges PhD grant SFRD/BD14610472019, Fundação para a Ciência e Tecnologia (FCT), Portugal. Publisher Copyright: © 2024 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC.; The combination of physical equations with deep learning is becoming a ...
Hybrid Deep Modeling of a GS115 (Mut+) Pichia pastoris Culture with State–Space...
Pinto, José; Ramos, João R. C.; Costa, Rafael S.; Oliveira, RuiJP acknowledges the PhD grant SFRD/BD14610472019, Fundação para a Ciência e Tecnologia (FCT).; Hybrid modeling workflows combining machine learning with mechanistic process descriptions are becoming essential tools for bioprocess digitalization. In this study, a hybrid deep modeling method with state–space reduction was developed and showcased with a P. pastoris GS115 Mut+ strain expressing a single-chain antib...
A General Hybrid Modeling Framework for Systems Biology Applications
Pinto, José; Ramos, João R. C.; Costa, Rafael S.; Oliveira, RuiJ.P. acknowledges a PhD grant (SFRD/BD14610472019), Fundação para a Ciência e Tecnologia (FCT).; In this paper, a computational framework is proposed that merges mechanistic modeling with deep neural networks obeying the Systems Biology Markup Language (SBML) standard. Over the last 20 years, the systems biology community has developed a large number of mechanistic models that are currently stored in public dat...
SBML2HYB
Pinto, José; Costa, Rafael S.; Alexandre, Leonardo; Ramos, João; Oliveira, RuiThe authors thank H. Mochao for useful implementation ideas. JP and LA acknowledge PhD grants [SFRD/BD14610472019], Fundação para a Ciência e Tecnologia (FCT).; Here we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML) into hybrid semiparametric models that combine mechanistic fun...
Hybrid deep modeling of a CHO-K1 fed-batch process
Pinto, José; Ramos, João R. C.; Costa, Rafael S.; Rossell, Sergio; Dumas, Patrick; Oliveira, RuiJP acknowledges PhD grant SFRD/BD14610472019, Fundação para a Ciência e Tecnologia (FCT).; Hybrid modeling combining First-Principles with machine learning is becoming a pivotal methodology for Biopharma 4.0 enactment. Chinese Hamster Ovary (CHO) cells, being the workhorse for industrial glycoproteins production, have been the object of several hybrid modeling studies. Most previous studies pursued a shallow hy...
A general deep hybrid model for bioreactor systems
Pinto, José; Mestre, Mykaella; Ramos, J.; Costa, Rafael S.; Striedner, Gerald; Oliveira, RuiJP acknowledges PhD grant SFRD/BD14610472019, This work has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no 101000733 (PROMICON).; Numerous studies have reported the use of hybrid semiparametric systems that combine shallow neural networks with First Principles for bioprocess modeling. Here we revisit the general bioreactor hybrid model and introd...
Reverse Semi-Combustion Driven by Titanium Dioxide-Ionic Liquid Hybrid Photocat...
Qadir, Muhammad I.; Zanatta, Marcileia; Pinto, José; Vicente, Isabel; Gual, Aitor; Smith, Emily F.; Neto, Brenno A.D.; de Souza, Paulo E. N.EP/L015633/1 EP/K005138/1 CAPES (158804/2017/01-and 001 FAPERGS -16/2552-0000 18/2551-0000561-4 88887.195052/2018-00 CNPq :406260/2018-4 169462/2017-0 406750/2016-5 465454/2014-3 grant agreement No 810310; Unprecedented metal-free photocatalytic CO2 conversion to CO (up to 228±48 μmol g−1 h−1) was displayed by TiO2@IL hybrid photocatalysts prepared by simple impregnation of commercially available P25-titanium d...
A Boulton and Watt steam engine for the Buarcos coal mine (Cape Mondego, Figuei...
Vernon, Robert; Brandão, José Manuel; Callapez, Pedro; Pinto, JoséUID/HIS/04209/2019