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Mathematical modeling of biofuel synthesis and storage
The book is divided into eight chapters, where the reader will find works carried out by the Fuel Analysis Laboratory of the State University of Londrina, addressing the analysis of biofuel mixtures from different raw materials; optimization of alcoholic fermentation of extracts obtained from native Brazilian fruits; mathematical modeling in the efficiency of natural and synthetic antioxidants; the influence of metallic contaminants in oxidation; evaluation of catalysts in the biodiesel production and a proposal of mechanisms for the oxidation reaction in the presence of transition metals.
Mathematical modeling of biofuel synthesis and storage
The book is divided into eight chapters, where the reader will find works carried out by the Fuel Analysis Laboratory of the State University of Londrina, addressing the analysis of biofuel mixtures from different raw materials; optimization of alcoholic fermentation of extracts obtained from native Brazilian fruits; mathematical modeling in the efficiency of natural and synthetic antioxidants; the influence of metallic contaminants in oxidation; evaluation of catalysts in the biodiesel production and a proposal of mechanisms for the oxidation reaction in the presence of transition metals.
Electron Magnetic Resonance
Electron Magnetic Resonance: Applications in Physical Sciences and Biology, Volume 50, describes the principles and recent trends in different experimental methods of Electron Magnetic Resonance (EMR) spectroscopy. In addition to principles, experimental methods and applications, each chapter contains a complete list of references that guide the reader to relevant literature. The book is intended for both skilled and novice researchers in academia, professional fields, scientists and students without any geographical limitations. It is useful for both beginners and experts in the field of Electron Spin Resonance who are looking for recent experimental methods of EMR techniques. Features a bottoms-up approach, with each chapter opening with basic theory and principles that are followed by recent trends and applications Focuses on applications and data interpretation, thus avoiding extensive use of mathematics Includes content from scientists working with lead manufacturers of EMR machines Provides thorough comparisons of the features of each EMR machine Written by experts in ESR spectroscopy from all over the world, giving the content global appeal
Game studies in Brazil Book I:
Game Studies in Brazil: Book One ins an attempt to begin mapping out the research field of videogames ins Brazil by means of cartography of knowledge. Game Studies in Brazil: Book One contains five chapters written by Brazilian researchers in the fields of education, health sciences, games studies, poetics, and literature. The chapters in this book are about projects and experiences in using games for teaching literature in public schools, and serious games for public health awareness.
Discovery Science
This book constitutes the proceedings of the 26th International Conference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023. The 37 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 133 submissions. They were organized in topical sections as follows: Machine learning methods and applications; natural language processing and social media analysis; interpretability and explainability in AI; data analysis and optimization; fairness, privacy and security in AI; control and spatio-temporal modeling; graph theory and network analysis; time series and forecasting; healthcare and biological data analysis; anomaly, outlier and novelty detection.
Intelligent Systems
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis; Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.
Regulation of Inflammation, Its Resolution and Therapeutic Targeting
Inflammation is a fundamental protective mechanism and at the same time the driving force of a variety of major diseases in humans. Indeed, acute self-resolving inflammation usually plays a positive role for the host, as exemplified by infectious diseases where its positive role is well established and testified by its perception as innate immunity. On the other hand, non-resolving inflammation and consequent chronicization is a key determinant of immunopathology and clinical manifestations of most major diseases in humans. As a consequence, it is increasing appreciated that the problem with inflammation is not how often it starts, but how often it fails to resolve. Appropriate resolution of...
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The Formation of Candomble
Formation of Candomble: Vodun History and Ritual in Brazil"
