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5 Biology and Genetics eBooks

Posted by wblue on 1-04-2019, 22:50 @ English eBooks
5 Biology and Genetics eBooks
5 Biology and Genetics eBooks

Adaptive Regression for Modeling Nonlinear Relationships
Systems Biology of Tumor Microenvironment: Quantitative Modeling and Simulations
Mapping Biological Systems to Network Systems
Advances in Nanostructured Cellulose-based Biomaterials (SpringerBriefs in Applied Sciences and Technology)
Mutualisms and Insect Conservation



Adaptive Regression for Modeling Nonlinear Relationships
English | 13 Oct. 2016 | ISBN: 3319339443 | 400 Pages | EPUB | 4 MB
This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of outcome variables. Such nonlinear dependence is often not considered in applied research, yet nonlinear relationships are common and so need to be addressed. A standard linear analysis can produce misleading conclusions, while a nonlinear analysis can provide novel insights into data, not otherwise possible.

Systems Biology of Tumor Microenvironment: Quantitative Modeling and Simulations
English | 2016 | ISBN: 3319420216 | 249 Pages | EPUB | 8 MB
This edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment. Each chapter presents a different mathematical model designed to investigate the interactions between tumor cells and the surrounding stroma and stromal cells. The topics covered in this book include the quantitative image analysis of a tumor microenvironment, the microenvironmental barriers in oxygen and drug delivery to tumors, the development of tumor microenvironmental niches and sanctuaries, intravenous transport of the circulating tumor cells, the role of the tumor microenvironment in chemotherapeutic interventions, the interactions between tumor cells, the extracellular matrix, the interstitial fluid, and the immune and stromal cells. Mathematical models discussed here embrace both continuous and agent-based approaches, as well as mathematical frameworks of solid mechanics, fluid dynamics and optimal control theory. The topics in each chapter will be of interest to a biological community wishing to apply the mathematical methods to interpret their experimental data, and to a biomathematical audience interested in exploring how mathematical models can be used to address complex questions in cancer biology.

Mapping Biological Systems to Network Systems
English | 2016 | ISBN-10: 3319297805 | 196 Pages | EPUB | 3 MB
Shows how bio-inspired systems - which are inherently robust, flexible and have high resilience towards critical errors - hold immense potential for next generation network systems
Outlines computing and problem solving techniques inspired by biological systems that can provide flexible, adaptable ways of solving networking problems
Provides insights into how the study of biological systems can make network systems more flexible, adaptable, self-organized, self-aware, and self-sufficient
The book presents the challenges inherent in the paradigm shift of network systems from static to highly dynamic distributed systems - it proposes solutions that the symbiotic nature of biological systems can provide into altering networking systems to adapt to these changes. The author discuss how biological systems - which have the inherent capabilities of evolving, self-organizing, self-repairing and flourishing with time - are inspiring researchers to take opportunities from the biology domain and map them with the problems faced in network domain. The book revolves around the central idea of bio-inspired systems - it begins by exploring why biology and computer network research are such a natural match. This is followed by presenting a broad overview of biologically inspired research in network systems - it is classified by the biological field that inspired each topic and by the area of networking in which that topic lies. Each case elucidates how biological concepts have been most successfully applied in various domains. Nevertheless, it also presents a case study discussing the security aspects of wireless sensor networks and how biological solution stand out in comparison to optimized solutions. Furthermore, it also discusses novel biological solutions for solving problems in diverse engineering domains such as mechanical, electrical, civil, aerospace, energy and agriculture. The readers will not only get proper understanding of the bio inspired systems but also better insight for developing novel bio inspired solutions

Advances in Nanostructured Cellulose-based Biomaterials (SpringerBriefs in Applied Sciences and Technology)
English | 22 May 2017 | ISBN: 3319581562 | 48 Pages | PDF | 1.92 MB
This book provides an overview of the advances on nanostructured celullose from different obtaining forms: natural plants and bacterial microorganisms. It gives the reader an introduction of cellulose focusing in nanosize particles, its potential applications and future perspectives. The potential use of cellulose in the biomedical field is highlighted.

Mutualisms and Insect Conservation
English | 27 July 2017 | ISBN: 3319582917 | 246 Pages | PDF | 4.1 MB
Documenting and understanding intricate ecological interactions involving insects is a central need in conservation, and the specialised and specific nature of many such associations is displayed in this book. Their importance is exemplified in a broad global overview of a major category of interactions, mutualisms, in which the interdependence of species is essential for their mutual wellbeing. The subtleties that sustain many mutualistic relationships are still poorly understood by ecologists and conservation managers alike. Examples from many parts of the world and ecological regimes demonstrate the variety of mutualisms between insect taxa, and between insects and plants, in particular, and their significance in planning and undertaking insect conservation - of both individual species and the wider contexts on which they depend. Several taxonomic groups, notably ants, lycaenid butterflies and sucking bugs, help to demonstrate the evolution and flexibility of mutualistic interactions, whilst fundamental processes such as pollination emphasise the central roles of, often, highly specific partnerships. This compilation brings together a wide range of relevant cases and contexts, with implications for practical insect conservation and increasing awareness of the roles of co-adaptations of behaviour and ecology as adjuncts to designing optimal conservation plans. The three major themes deal with the meanings and mechanisms of mutualisms, the classic mutualisms that involve insect partners, and the environmental and conservation lessons that flow from these and have potential to facilitate and improve insect conservation practice. The broader ecological perspective advances the transition from primary focus on single species toward consequently enhancing wider ecological contexts in which insect diversity can thrive.


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