Preface from the Guest Editors.

Guest Editors’ Preface Special Issue on Reversible Computing

Guest Editor\'s Note

Although Occupational Therapy in Iran is relatively a new profession, it has been well progressed, providing various services for people with all kinds of disabilities. As such, in the last decades, OT has been recognized as the major demand in all governmental, private and NGO sectors. Due to this demand, occupational therapy training programs have been increased from three into ten, expecting...

Guest editors preface

which are now called Bernstein polynomials, in order to present a short proof of the Weierstrass Approximation Theorem. The subsequent history is well documented, see, e.g., [29] for the period up to 1955, the monograph [18] published in 1953, and the survey article [9] which appeared on the occasion of the hundredth anniversary of the above paper by Bernstein. Since the latter publication prov...

Dialogue on Organization and Knowledge

Preface In lieu of writing an introduction that runs the risk of adding more smoke than fire, the guest editors elected to engage in a dialogue with one another. Its purpose is to give readers a sense of the thinking behind the special issue, of the debates that ensued, and of the possible directions for further work. We met for lunch in a café-bar in Greenwich Village in April 2001 to discuss ...

Preface by Editor-in-Chief

The 9th Issue of LNCS Transactions on Petri Nets and Other Models of Concurrency (ToPNoC) contains revised and extended versions of a selection of the best papers from the workshops held at the 34th International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2013, Milan, Italy, during 24–28 June 2013), and 13th International Conference on Application of Concurre...

Preface INTRODUCTION TO THE SPECIAL ISSUE ON CAUSAL DISCOVERY

Many empirical sciences, including the social sciences and life sciences, aim to study causal relationships. Researchers in these fields need computational methods for analyzing observed data and identifying causal structures among a set of variables. Such computational methods enable researchers to draw conclusions on the basis of both their assumptions and the observed data. Moreover, these m...