Blog updated.

Monday, August 11, 2014

ON THE BOARD (publication submitted, ACCEPTED)

On the importance of pharmacokinetics and pharmacodynamics in engineering sciences as an inter- and multidisciplinary field: an introductory analysis

This paper was awarded by the commission of SIMPEP a position of highlight, amongst the best papers of 2014. The authors are honored and pretty gratified by the gesture of recognition of importance and impact of the research. Thanks SIMPEP for the kindness!  







 Jorge Guerra Pires
Department of Information Engineering, Computer Science and Mathematics
University of L'Aquila, Italy
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) Rome, Italy
CAPES Foundation, Ministry of Education of Brazil
Email: jorgeguerrapires@yahoo.com.br

Roberto Maggio
Department of Biotechnological and Applied Clinical Sciences
University of L'Aquila (UAQ)
Email: roberto.maggio@univaq.it 

Pasquale Palumbo
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) Rome, Italy
Email: pasquale.palumbo@iasi.cnr.it

Costanzo Manes
Department of Information Engineering, Computer Science and Mathematics
University of L'Aquila, Italy
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) Rome, Italy
Email
costanzo.manes@univaq.it

Submitted to  SIMPEP
Language: English
Area: Engineering Teachings

Abstract:
Amongst the entire potential spectrum of expansion of the engineering sciences as an omnipresent field, we might point out the studies of drugs, applied pharmacology, as a good candidate for receiving attention. The common problematic encountered in the literature faced by the industry of drugs is the high cost for drug development and systematic approaches are demanded. Based upon the authors’ viewpoint, by no means it interferes with the natural and important chase of identity by (industrial) production engineering. On the hope of bringing the discussions to engineering’s territory, we borrow several insights from mathematical modeling; it is presented a simple case study, tumor treatment using optimal control, we shall see that it is possible with simple tools already standard in engineering to design a optimal regimen for the tumor therapy, given that the tumor respects our model. On the example presented, we shall see that tools already part of (industrial) production engineering, with exception of optimal control theory, is enough for getting insights. The ideas discussed herein could diminish the cost of drug development if properly extended. As any endeavor, we have challenges, such as to gain the credibility necessary for really using those models in the academy and industry.
Key-words: Teachings of Engineering Sciences; Simulations; Pharmacology; Optimal Control; Cancer Therapy;



On the importance of optimal control theory in engineering sciences as a complementary and supplementary methodology to Operations Research: a case-study analysis



Jorge Guerra Pires
Department of Information Engineering, Computer Science and Mathematics
University of L'Aquila, Italy
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) Rome, Italy
CAPES Foundation, Ministry of Education of Brazil
Emailjorgeguerrapires@yahoo.com.br

Costanzo Manes
Department of Information Engineering, Computer Science and Mathematics
University of L'Aquila, Italy
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) RomeItaly
Email
costanzo.manes@univaq.it

Pasquale Palumbo
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) Rome, Italy
Emailpasquale.palumbo@iasi.cnr.it

Submitted to  SIMPEP
Language: English
Area: Mathematical Programming

Abstract:

On this work it is discussed on the optimal control theory as supplementary and complementary methodological procedure to operations researches. Accordingly, it is disserted on the importance of optimal control theory as an essential tool for supporting operations research on its chases for enhancing processes by means of optimization. Here two case studies are presented taken from the literature of production (industrial) engineering: phototherapy applied to neonatal affected by the syndrome called jaundice and optimal production of protein. Furthermore, we have made use of numerical schemes for solving ordinary differential equations to achieve the optimal controls: the forward-backward sweep method and the Runge-Kutta 4. The paper is organized in an introduction, methodological procedures, the case studies, the conclusions and final remarks, and finally, the references. It was strived to achieve a paper in a layman terms, for a general audience. 

Keywords: Optimal Control Theory; Operations Research; Numerical Schemes; Pontryagin’s Maximum Principle.   



Friday, August 8, 2014

Incoming (Publication)

Poster Section: Como Lake Summer School

On the mathematical modeling in gene expression estimation: an initial discussion on PBM and BM
Jorge Guerra Pires , jorgeguerrapires@yahoo.com.br
Department of Information Engineering, Computer Science and Mathematics
University of L'Aquila, Italy
Institute of Systems Analysis and Computer Science (IASI)
Cosiglio Nazionale  delle Ricerche (CNR) Rome, Italy
CAPES Foundation, Ministry of Education of Brazil 



Abstract— with the advent of computers, new technologies could finally rise up. Maybe one of the most polemic and prominent ones are the methods from artificial intelligence such as neural networks or even fuzzy logic. In this short paper we discuss a set of insights generated by the authors after studying the two-communities currently predominant in applied mathematical modeling. We conclude that applied mathematical models, here focused on biological systems, might beneath considerably by recognizing middle-way models between classical (traditional) mathematics and knowledge-based models. 
Keywords—systems biology; pharmacology; biomathematics; knowledge-based modeling; state-space-based models.


  Download files: PDF 1, PDF 2.

Comments

PBM stands for Partial Blind Models and BM for Blind Models. This idea came to me by accident when I was trying to express myself during the pathway of my thesis of master of science, I have used those terms for the very first time on Pires (2013b), then replicated on Pires (2013a). The idea sounds trivial and without any innovation, nonetheless recently I have taken it serious and based upon my readings, this is really interesting for the upcoming generation of scientists.

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Pires JG (2013b). Neural Networks in Transcription Networks: An alternative and complementary approach for the observer-based method. 1st BRICS Countries  & 11th Brazilian Congress on Computational Intelligence. Brazil. 2: 1-2. 

Pires JG (2013a). On the mathematical modelling in gene expression estimation. II Workshop and School on Dynamics, Transport and Control in Complex Networks  (ComplexNet), Ribeirão Preto, SP, Brazil. 21-26/October. Poster.

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