Alessandro Giuliani – författare

This volume explores the basic issues of “allostery” and “network” that are fundamental to studying this field. Chapters in this book look at how the basic “machine-like” proteins, that are similar to “human machines,” need to be organized, architecturally, to relate to different organizational layers. Chapters cover topics such as methodological/computational factors focused on links between allostery and network formalism; the presence of oscillating modes transversing the structure and underlying network wiring of the allosteric process; the “action at distance” by transduction of signals across an organized network structure; and the P53 protein located at the cross-road of cell cycle regulation, genome integrity, and cancer development. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Thorough and practical, Allostery: Methods and Protocols is a valuable resource for any scientists and researcher interested in learning more about this developing field. 

This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications and developments in recurrence plots and recurrence quantification analysis (RQA) with special emphasis on biological and cognitive systems and the analysis of coupled systems using cross-recurrence methods.

Readers will discover new applications and insights into a range of systems provided by recurrence plot analysis and new theoretical and mathematical developments in recurrence plots. Recurrence plot based analysis is a powerful tool that operates on real-world complex systems that are nonlinear, non-stationary, noisy, of any statistical distribution, free of any particular model type and not particularly long. Quantitative analyses promote the detection of system state changes, synchronized dynamical regimes or classification of system states.

The book will be of interest to an interdisciplinary audience of recurrence plot users and researchers interested in time series analysis of complex systems in general.

This volume focuses on new challenges in distributed Information Filtering and Retrieval. It collects invited chapters and extended research contributions from the special session on Information Filtering and Retrieval: Novel Distributed Systems and Applications (DART) of the 4th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2012), held in Barcelona, Spain, on 4-7 October 2012.The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world applications. The chapters of this book present a comprehensive review of related works and state of the art. Authors, both practitioners and researchers, shared their results in several topics such as "Multi-Agent Systems", "Natural Language Processing", "Automatic Advertisement", "Customer Interaction Analytics", "Opinion Mining".Contributions have been careful reviewed by experts in the area, who also gave useful suggestions to improve the quality of the volume.