Kategoria BISAC: Science >> Chemistry - General

Plant Gum Exudates of the World: Sources, Distributions, Properties, and Applications is the most extensive collection of plant gum exudates in print, containing information on both well-established exudates and newer ones. It not only introduces an array of exudates never before described or reviewed, but also classifies gums according to their botanical taxonomy. This readily accessible book also supplies color plates of exudates in their natural environment along with relevant botanical parts.

Each entry includes:

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The first two sections of the book discuss the integration of cell...

Creep and Creep Rupture of Metals is devoted to the fundamental description of the phenomenon of creep which occurs widely in high-temperature deformation of metals. Special attention is paid to the analysis of long-term strength, which characterizes the stress at which the metal does not fail after a predetermined time. The author details experimental and theoretical results obtained by Soviet and Russian scientists that are absent in currently available publications and demonstrates analytical methods and approaches to achieve long term strength in Metals.

Written in a non-technical, entertaining style to engage those without a science background while maintaining the academic rigor required by more advanced readers, the book follows a unique format that enhances the learning process. Each...

Focusing on fundamental principles, Hydro-Environmental Analysis: Freshwater Environments presents in-depth information about freshwater environments and how they are influenced by regulation. It provides a holistic approach, exploring the factors that impact water quality and quantity, and the regulations, policy and management methods that are necessary to maintain this vital resource. It offers a historical viewpoint as well as an overview and foundation of the physical, chemical, and biological characteristics affecting the management of freshwater environments.

Addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. Comprehensive overview of novel approaches to machine learning research that consider resource constraints and application of the described methods.