An American-born boy grew up in a small village on the Greek island of Crete. In his last year in high school, he witnessed the German invasion of Crete, in May of 1941, during the early days of WW II. At the age of eighteen, he joined a resistance group headed by his brother, and supplied crucial information to the SOE, the arm of the English Intelligence Service. This resistance group is uncovered, resulting in their hasty evacuation by the SOE, to Cairo, Egypt.
In Cairo, the author and his brother were asked to join the English Intelligence Service, but rather, pursued the American OSS, or Office of Strategic Services, the newly formed American intelligence counterpart. They were enlisted into the US Army, and attached to the OSS, where the author was trained in the SI, or Secret Intelligence sector, which included parachute jumping, wireless/Morse code training, commando/defense training, locks/safe-cracking techniques, escape methods, and environment assimilation techniques.
After being transformed into a skilled spy, the author was sent back to Greece undercover, and along with a Greek naval intelligence officer, set up a communications cell in Salonica, Greece s second largest city, whereby daily coded messages to OSS Headquarters in Cairo were sent. One such message describes the course of events surrounding the bombing of the main railroad yard in Salonica, and the loss of thousands of German troops, as well as recalling the near-capture encounters with the German Gestapo and the Greek police. The author also recounts his personal experiences of his escape from Crete through the mountains, the evacuations by an English torpedo boat, his OSS training, the return mission to Greece, and his final return to the United States.

An American-born boy grew up in a small village on the Greek island of Crete. In his last year in high school, he witnessed the German invasion of Crete, in May of 1941, during the early days of WW II. At the age of eighteen, he joined a resistance group headed by his brother, and supplied crucial information to the SOE, the arm of the English Intelligence Service. This resistance group is uncovered, resulting in their hasty evacuation by the SOE, to Cairo, Egypt.
In Cairo, the author and his brother were asked to join the English Intelligence Service, but rather, pursued the American OSS, or Office of Strategic Services, the newly formed American intelligence counterpart. They were enlisted into the US Army, and attached to the OSS, where the author was trained in the SI, or Secret Intelligence sector, which included parachute jumping, wireless/Morse code training, commando/defense training, locks/safe-cracking techniques, escape methods, and environment assimilation techniques.
After being transformed into a skilled spy, the author was sent back to Greece undercover, and along with a Greek naval intelligence officer, set up a communications cell in Salonica, Greece s second largest city, whereby daily coded messages to OSS Headquarters in Cairo were sent. One such message describes the course of events surrounding the bombing of the main railroad yard in Salonica, and the loss of thousands of German troops, as well as recalling the near-capture encounters with the German Gestapo and the Greek police. The author also recounts his personal experiences of his escape from Crete through the mountains, the evacuations by an English torpedo boat, his OSS training, the return mission to Greece, and his final return to the United States.

Most publications on heavy metals and the environment have focused on environmental pathways and risks. The present book establishes a link between the environmental risks of heavy metals and the societal causes of the risks. Economic models, substance flow models and environmental fate and risk assessment models have been integrated into a single analytical framework that has been used to trace and understand the routes by which four heavy metals enter the economy, through to their final destination in the environment. The long-term impacts of the current metals management regime in the Netherlands have been used as a case study by which to assess the effectiveness of certain policy measures. Readership: Environmental scientists, especially those practising in the areas of ecological economics, industrial ecology, materials flow accounting and integrated environmental assessment. Environmental policy makers will also find the book an invaluable aid in their deliberations.

The aim of this book is to link demand and supply of environmental information in the field of Life Cycle Management. The book is based on the results of the CHAINET concerted action financed by EU-DGXII for the work period 1998-2000, and is intended to build bridges between the different scientific communities in the field of Life Cycle Management. A structured approach is followed, meaning that both demand and supply of environmental information are characterised, after which the two are linked.
Chapter 2 deals with the demand side; a number of characteristics are identified including the object of analysis, different question types, consecutive decision steps, and the cultural context of the decision at hand. Chapter 3 gives an overview of the supply side, distinguishing between concepts, analytical tools, procedural tools, technical elements, and data. The focus of the book is on analytical tools. In Chapter 4 and in a 34-page annex, eleven analytical tools are systematically described, including LCA, MIPS, ERA, MFA, SFA, CERA, IOA, analytical tools for ecodesign, LCC, TCA, and CBA.
In Chapter 5, demand and supply are linked, starting from the question types and indicating which types of tools are particularly suited for which type of question. For instance, it is shown that LCA is particularly useful for operational questions, but less so for more strategic questions. Other aspects concern the distinction between a broad overview and a detailed analysis, and, interestingly, the cultural context of the decision. It appears that without agreement on the criteria to be used, quantitative analytical tools such as LCA, ERA, or CBA may not be very helpful as support for decision-making. Rather more robust quantitative, or even qualitative, tools may then be used instead.
Chapter 6 makes a number of concluding remarks. A plea is made for the combined use of tools, rather than the development of a super tool. Another important topic concerns the customisation of tools, which is seen as quite useful if combined with a periodic validation against a more detailed analysis.
In the text of the preceding chapters, 26 text boxes are included as practical illustrations of the principles described in the text. In the following chapters, three cases are presented, dealing with electronic goods, the car, and clothes washing. These cases show how, in practice, different tools are used in combination, as a support for a given decision situation.
The book is particularly suited for courses in higher education, both for universities and polytechnics, and for use by consultancy firms, by larger companies, and industrial branch organisations.

This book contributes to both mathematical problem solving and the communication of mathematics by students, and the role of personal and home technologies in learning beyond school. It does this by reporting on major results and implications of the Problem@Web project that investigated youngsters' mathematical problem solving and, in particular, their use of digital technologies in tackling, and communicating the results of their problem solving, in environments beyond school. The book has two focuses: Mathematical problem solving skills and strategies, forms of representing and expressing mathematical thinking, technological-based solutions; and students and teachers perspectives on mathematics learning, especially school compared to beyond-school mathematics.

- Curating Social Data - Summarizing Social Data - Analyzing Social Data - Social Data Analytics Applications: Trust, Recommender Systems, Cognitive Analytics

This monograph presents the current views, challenges and future needs of educators from a global online exchange where educators and researchers discuss the 21st century skills needed by students and teachers. The three editors, who participated in the global online research discussion group, also assumed the role of authors to summarise, analyse and celebrate the myriad of ideas generated in a topic thread that had well over a thousand responses from 26 countries. Through Comparative Analysis they then compared the posters' ideas to some current big thinkers in education. This text promotes teachers' voices from diverse disciplines and sectors who are united in their desire for purposeful and radical change in how teaching is carried out and what is taught. The text advocates shifting power away from government control and standardisation towards empowering teachers to guide and further develop the unique talents of diverse individuals.

Stereologic techniques begin to play an increasing role in biologic morphology, particularly there where correlation of structure and function on a quantitative basis is sought. These powerful methods have been in use for many years - partly even for many decades - in geology, mineralogy and metallurgy, while attempts to introduce them into histology have remained rather rare until a few years ago. In order to stimulate discussion among anatomists about stereo logic methods the International Society for Stereology, an interdisciplinary society, organized a Sym posium on Quantitative Methods in Morphology which took place on August 10, 1965 in the framework of the Eighth International Congress of Anatomists in Wiesbaden, Germany. The papers presented at this symposium are published in this volume in slightly extended form. Some of the papers of this volume are of rather specialized nature and presume a basic knowledge of stereology. The first chapter on general stereological principles has therefore been considerably extended and short introductory review paragraphs have been added to a few subsequent chapters to help those who are not yet familiar with this new field in understanding the more specialized original articles. Long discussion periods formed an essential part of the symposium. However, they were conducted very informally and hence it would not have been profitable to reproduce them in extenso, particularly since the major results of discussion have been incorporated by the authors into the expanded manuscripts presented here.

The aim of this book is to link demand and supply of environmental information in the field of Life Cycle Management. The book is based on the results of the CHAINET concerted action financed by EU-DGXII for the work period 1998-2000, and is intended to build bridges between the different scientific communities in the field of Life Cycle Management. A structured approach is followed, meaning that both demand and supply of environmental information are characterised, after which the two are linked.
Chapter 2 deals with the demand side; a number of characteristics are identified including the object of analysis, different question types, consecutive decision steps, and the cultural context of the decision at hand. Chapter 3 gives an overview of the supply side, distinguishing between concepts, analytical tools, procedural tools, technical elements, and data. The focus of the book is on analytical tools. In Chapter 4 and in a 34-page annex, eleven analytical tools are systematically described, including LCA, MIPS, ERA, MFA, SFA, CERA, IOA, analytical tools for ecodesign, LCC, TCA, and CBA.
In Chapter 5, demand and supply are linked, starting from the question types and indicating which types of tools are particularly suited for which type of question. For instance, it is shown that LCA is particularly useful for operational questions, but less so for more strategic questions. Other aspects concern the distinction between a broad overview and a detailed analysis, and, interestingly, the cultural context of the decision. It appears that without agreement on the criteria to be used, quantitative analytical tools such as LCA, ERA, or CBA may not be very helpful as support for decision-making. Rather more robust quantitative, or even qualitative, tools may then be used instead.
Chapter 6 makes a number of concluding remarks. A plea is made for the combined use of tools, rather than the development of a super tool. Another important topic concerns the customisation of tools, which is seen as quite useful if combined with a periodic validation against a more detailed analysis.
In the text of the preceding chapters, 26 text boxes are included as practical illustrations of the principles described in the text. In the following chapters, three cases are presented, dealing with electronic goods, the car, and clothes washing. These cases show how, in practice, different tools are used in combination, as a support for a given decision situation.
The book is particularly suited for courses in higher education, both for universities and polytechnics, and for use by consultancy firms, by larger companies, and industrial branch organisations.

Most publications on heavy metals and the environment have focused on environmental pathways and risks. The present book establishes a link between the environmental risks of heavy metals and the societal causes of the risks. Economic models, substance flow models and environmental fate and risk assessment models have been integrated into a single analytical framework that has been used to trace and understand the routes by which four heavy metals enter the economy, through to their final destination in the environment. The long-term impacts of the current metals management regime in the Netherlands have been used as a case study by which to assess the effectiveness of certain policy measures. Readership: Environmental scientists, especially those practising in the areas of ecological economics, industrial ecology, materials flow accounting and integrated environmental assessment. Environmental policy makers will also find the book an invaluable aid in their deliberations.

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.

This book contributes to both mathematical problem solving and the communication of mathematics by students, and the role of personal and home technologies in learning beyond school. It does this by reporting on major results and implications of the Problem@Web project that investigated youngsters' mathematical problem solving and, in particular, their use of digital technologies in tackling, and communicating the results of their problem solving, in environments beyond school. The book has two focuses: Mathematical problem solving skills and strategies, forms of representing and expressing mathematical thinking, technological-based solutions; and students and teachers perspectives on mathematics learning, especially school compared to beyond-school mathematics.