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Gran Área: Ciencias exactas y naturales
Área: Ciencias biológicas
Subárea: Biología evolutiva

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Resultado: 64 registro(s)

7731

Artificial Intelligence and Knowledge Engineering Applications

A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Vol. 3562

 

13th ed. Berlin, Heidelberg: Springer-Verlag GmbH, 2005.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540263197 9783540316732

Colección: SpringerLink


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8245

Bacteriocins

Ecology and Evolution

 

13th ed. Berlin, Heidelberg: Springer-Verlag, 2007.

ISBNs 9783540366034 9783540366041

Colección: SpringerLink


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3794

Bioelectricity

A Quantitative Approach

 

3rd ed. Boston, MA: Springer Science+Business Media, 2007.

ISBNs 9780387488646 9780387488653

Colección: SpringerLink


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548

Bioinformatics and the Cell

Modern Computational Approaches in Genomics, Proteomics and Transcriptomics

 

13th ed. Boston, MA: Springer Science+Business Media, 2007.

ISBNs 9780387713366 9780387713373

Colección: SpringerLink


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9962

Biological Calcification

Normal and Pathological Processes in the Early Stages

 

13th ed. Berlin, Heidelberg: Springer-Verlag, 2007.

ISBNs 9783540360124 9783540360131

Colección: SpringerLink


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21866

Building a Sustainable and Desirable Economy-in-Society-in-Nature

 

ANU E Press, 2013.

ISBNs 9781921862052 9781921862045

Colección: JSTOR

Resumen (en inglés): The world has changed dramatically. We no longer live in a world relatively empty of humans and their artifacts. We now live in the “Anthropocene,” era in a full world where humans are dramatically altering our ecological life-support system. Our traditional economic concepts and models were developed in an empty world. If we are to create sustainable prosperity, if we seek “improved human well-being and social equity, while significantly reducing environmental risks and ecological scarcities,” we are going to need a new vision of the economy and its relationship to the rest of the world that is better adapted to the new conditions we face. We are going to need an economics that respects planetary boundaries, that recognizes the dependence of human well-being on social relations and fairness, and that recognizes that the ultimate goal is real, sustainable human well-being, not merely growth of material consumption. This new economics recognizes that the economy is embedded in a society and culture that are themselves embedded in an ecological life-support system, and that the economy cannot grow forever on this finite planet. In this report, we discuss the need to focus more directly on the goal of sustainable human well-being rather than merely GDP growth. This includes protecting and restoring nature, achieving social and intergenerational fairness (including poverty alleviation), stabilizing population, and recognizing the significant nonmarket contributions to human well-being from natural and social capital. To do this, we need to develop better measures of progress that go well beyond GDP and begin to measure human well-being and its sustainability more directly.

Licencia de uso: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


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8029

Cereal Genomics

 

13th ed. Dordrecht: Springer Science+Business Media, 2005.

ISBNs 9781402023583 9781402023590

Colección: SpringerLink


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8856

Chemical Signals in Vertebrates 10

 

13th ed. Boston, MA: Springer Science+Business Media, 2005.

ISBNs 9780387251592 9780387251608

Colección: SpringerLink


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21887

Complex Science for a Complex World

Exploring Human Ecosystems with Agents

 

ANU E Press, 2006.

ISBNs 9781920942397 9781920942380

Colección: JSTOR

Resumen (en inglés): It is well known that human activities are endangering the stability and sustainability of many fragile ecosystems to such an extent that their future is in doubt. At the same time, these ecosystems are inherently challenging to manage successfully because of the complexity and uncertainty associated with their ongoing evolution. Much of this complexity and uncertainty may be attributed to the human dimension. Thus it is imperative that we deepen our understanding of how and why people choose to interact with one another and how this interactive behaviour affects these ecosystems as time passes. Fortunately, a new kind of science is helping us deepen our understanding of how human ecosystems might grow and change over time. Beyond a mere collation of various reflections and applications, the chapters in this book aim to convince the reader that this new kind of science is worthy of our attention. It is a science that fully embraces the complexity of our surrounding world. It is also a science that addresses the frontiers of interactions between human behaviour and environmental responses. Furthermore, it is a science that challenges our limited understanding and treatment of uncertainty. And finally, because it is socially embedded, it is a science that can generate partnerships with local communities in a constructive manner. We hope that you will enjoy the reading of such a diverse 'ouvrage' whose purpose is to attract more early career scientists into our field of research and to convince decision-makers that a growing contingent of colleagues working on complexity theory can provide useful tools and methods to better understand complex and adaptive environments. It is time to reassure you (the reader) that the rise of a 'Complex Science for a Complex World' doesn't mean more complicated relationships between science and society.

Licencia de uso: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


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5506

Computational Intelligence and Bioinspired Systems

8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings Vol. 3512

 

13th ed. Berlin, Heidelberg: Springer-Verlag GmbH, 2005.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540262084 9783540321064

Colección: SpringerLink


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