Tuesday, September 15, 2015

The Laws of Lifetime Growth: Always Make Your Future Bigger Than Your Past (repost)




The Laws of Lifetime Growth: Always Make Your Future Bigger Than Your Past by Dan Sullivan and Catherine Nomura


English | 2007 | ISBN: 1576754677, 1576753352 | 129 pages | PDF | 0,6 MB




Written by Dan Sullivan, the acclaimed speaker, author, consultant, strategic planner, and coach to entrepreneurial individuals and groups, Laws of Lifetime Growth provides refreshingly simple laws that will instantly shift your perspective to help you make your future bigger than your past, and fully realize your personal and professional potential.












Proteins: Energy, Heat and Signal Flow (repost)




Proteins: Energy, Heat and Signal Flow (Computation in Chemistry) by David M. Leitner and John E. Straub


English | 2009 | ISBN: 1420087037 | 415 pages | PDF | 12,7 MB




Computational modeling can provide a wealth of insight into how energy flow in proteins mediates protein function. Computational methods can also address fundamental questions related to molecular signaling and energy flow in proteins. Proteins: Energy, Heat and Signal Flow presents state-of-the-art computational strategies for studying energy redistribution, signaling, and heat transport in proteins and other molecular machines.




The first of four sections of the book address the transport of energy in molecular motors, which function through a combination of chemically driven large-scale conformational changes and charge transport. Focusing on vibrational energy flow in proteins and nanostructures, the next two sections discuss approaches based on molecular dynamics simulations and harmonic analysis. By exploring the flow of free energy in proteins, the last section examines the conformational changes involved in allosteric transitions and the role of coupled protein–solvent dynamics in conformational changes. It also presents computational approaches developed to locate pathways between protein structures.




The integrated presentation of this comprehensive, up-to-date volume emphasizes the interrelations between disparate computational approaches that have contributed to our understanding of energy flow in proteins and its role in protein function. By defining the forefront of research in this area, the book delineates the current challenges and opportunities in developing novel methods and applications for the evolving study of energy flow in molecular machines and nanomaterials.












Precision Crystallization: Theory and Practice of Controlling Crystal Size (repost)




Precision Crystallization: Theory and Practice of Controlling Crystal Size by Ingo Leubner


English | 2009 | ISBN: 1439806748 | 216 pages | PDF | 4,3 MB




Despite the fact that crystals make up an estimated 80% of chemical and pharmaceutical products, few resources exist that provide practical guidance on achieving precision control of their size and size distribution. Based on a model developed by the author and his colleagues, Precision Crystallization: Theory and Practice of Controlling Crystal Size presents scientists and product engineers with the tools to control crystal nucleation, enabling them to ultimately control crystal size and size distribution for batch and continuous crystallizations.


At the cutting edge of crystallization science and technology, this volume presents information never before available. Introducing the Balanced Nucleation and Growth (BNG) model, the book demonstrates how the results of the nucleation process are quantitatively related to practical experimental control values such as:


• reaction addition rate


• crystal solubility


• temperature


• residence time (continuous crystallizations)


• the effect of ripening agents (crystal supersizing) during nucleation


• the effect of crystal growth restrainers (crystal nanosizing) during nucleation


• control of renucleation


The author shows how the BNG theory predicts previously unknown phenomena and also how it corrects erroneous perceptions of the importance of reaction volume on the outcome of crystal nucleation. Going above and beyond classical nucleation theories which rely to a large extent on guesswork, the BNG model gives precise guidance to scientists working in a range of critical areas, leading to promising implications for research, quality control, product development, production processes, pilot plant operations, and manufacturing.