The Candy Monster

Israel Gómez

Candy is green, small and soft as a gummy. He has only one eye, loves candies and spends all the day eating them. One day, he had no more of them...

The Candy Monster© is the first book in the series Funny Monsters. Colorful and beautiful illustrations grouped in a book format by the creative graphic, Israel Gómez for 2isone design© 

In this series of stories, some imaginative monsters learn to live with humans and teach kids a lot in the house.
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About the author

Funny Monsters

Illustrated by Israel Gómez for 2isone design©

Original texts by Israel Gómez and Mariela Cisneros

Exclusive editing copyrights

2isone design© 2016

El monstruo Caramelo©is the original title in English The Candy Monster©

An original idea of Israel and Alexandra Gómez

Translation to English Soviesky Sanabia

All rights reserved, including the right of partial or total reproduction

ISBN 978-84-617-7310-7

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3 total

Additional Information

Israel Gómez
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Published on
May 16, 2016
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Fiction / Short Stories (single author)
Juvenile Fiction / General
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Content Protection
This content is DRM protected.
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Read Aloud
Available on Android devices
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Eligible for Family Library

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This carefully crafted ebook: “The Complete Emily Starr Trilogy: Emily of New Moon + Emily Climbs + Emily's Quest (Unabridged)” is formatted for your eReader with a functional and detailed table of contents.
The author, Lucy Maud Montgomery, created another and better-known representative of Canadian girlhood in "Anne of Green Gables" and all the subsequent Anne books, but Emily was closer to her own heart. Like Anne, Emily is a strong-minded, gifted, imaginative child, left alone and unprotected in a harsh world, who is taken in by adults who are at least initially cold and unloving. Both girls grow up amid the beauties of Prince Edward Island, both keenly sensitive to natural splendors and highly fanciful, not to say occasionally precious, about assigning names to lakes and trees and identifying spirits and fairies in their surroundings. Anne is an original and spunky girl, with a certain amount of talent for writing verses and romantic tales, but Emily is a writer.
In the celebrated Emily trilogy, of which Emily of New Moon is the first volume, Montgomery draws a more realistic portrait of a young girl’s life on Prince Edward Island. The twin threads of bright and dark, love and cruelty, hope and despair intertwine in a pattern as significant as it is enduring.
In the second volume, Emily Climbs, Lucy Maud Montgomery traces the often stormy course of Emily Starr’s life as she moves from the world of childhood into that of school and adolescence.
Emily's Quest is the last of the Emily trilogy. After finishing Emily Climbs, Montgomery suspended writing Emily's Quest and published The Blue Castle; she resumed writing and published in 1927.
Lucy Maud Montgomery (1874 – 1942), was a Canadian author best known for a series of novels beginning with Anne of Green Gables. Montgomery went on to publish 20 novels as well as 530 short stories, 500 poems, and 30 essays. 
Stochastic Process Optimization using Aspen® Plus

Bookshop Category: Chemical Engineering

Optimization can be simply defined as "choosing the best alternative among a set of feasible options". In all the engineering areas, optimization has a wide range of applications, due to the high number of decisions involved in an engineering environment. Chemical engineering, and particularly process engineering, is not an exception; thus stochastic methods are a good option to solve optimization problems for the complex process engineering models.

In this book, the combined use of the modular simulator Aspen® Plus and stochastic optimization methods, codified in MATLAB, is presented. Some basic concepts of optimization are first presented, then, strategies to use the simulator linked with the optimization algorithm are shown. Finally, examples of application for process engineering are discussed.

The reader will learn how to link the process simulator Aspen® Plus and stochastic optimization algorithms to solve process design problems. They will gain ability to perform multi-objective optimization in several case studies.

Key Features:

• The book links simulation and optimization through numerical analyses and stochastic optimization techniques

• Includes use of examples to illustrate the application of the concepts and specific guidance on the use of software (Aspen® Plus, Excel, MATLB) to set up and solve models representing complex problems.

• Illustrates several examples of applications for the linking of simulation and optimization software with other packages for optimization purposes.

• Provides specific information on how to implement stochastic optimization with process simulators.

• Enable readers to identify practical and economic solutions to problems of industrial relevance, enhancing the safety, operation, environmental, and economic performance of chemical processes.

Aviation sector contributes with 2% of the total CO2 emissions due to human activities. Moreover, predictions estimate that air traffic will duplicate in the next 20 years, with the corresponding increasing in CO2 emissions. The International Air Transport Association (IATA) has established four strategies to reduce CO2 emissions; one strategy is the development of aviation fuel from renewable feedstocks, known as biojet fuel. In 2009 UOP Honeywell received a patent for its process to produce aviation fuel from renewable feedstocks. The process considers the transformation of vegetable oil through hydrogenating, deoxygenating, isomerizing and selective hydrocracking to generate propane and hydrocarbons fuels. The resulting aviation fuel is very similar to the fossil one, with the only difference that the first one does not contain aromatic compounds. Due to this, the ASTM standard established the use of biojet fuel in mixtures with fossil jet fuel with up to 50% of the bio-fuel. Also, it is important to remark that in this moment the process of UOP Honeywell is the only one certified for the production of aviation fuel from renewable feedstocks. In this work we propose a model for the production of biojet fuel, obtaining an estimation of the conversion of the reactions of the process of UOP Honeywell. Also, the optimization of the purification stage is performed using a multiobjective genetic algorithm with constraints, which is coupled to Aspen Plus process simulator, in order to generate results considering the complete models of the process. Results show a high conversion of the vegetable oil (castor oil) to biofuels (biojet fuel and green diesel); also, energy can be generated in the process as result of the conditioning of the stream that is fed to the distillation train.
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