Author experiences from working jointly and within startups inform this chapter. Emphasizing the importance of employees achieving unprecedented productivity through working collaboratively and supported by flexible roles and social technologies cannot be understated. Startup employees led by the entrepreneur are masters of embracing complexity. This means the startup team understands cause and...

2 The choices for policy makers of markets and products 4 2.1 Trading venue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Clearing and settlement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2.1 Netting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2.2 Counterparty credit risk . . . . . . . . . . . . . . . . . . . . . . . . 4 2....

This paper introduces the main features of Traduco, a Web-based, collaborative Computer-Assisted Translation (CAT) tool developed to support the translation of ancient texts. In addition to the standard components offered by traditional CAT tools, Traduco includes a number of features designed to ease the translation of ancient texts, such as the Babylonian Talmud, posing specific structural, s...

Mankind is currently experiencing an innovative type of progress in all areas its activities, which characterized by rapid changes technology and knowledge. First all, it a time improving the basic sciences, knowledge-intensive technologies applied projects. This, turn, requires, first, formation new person, models behavior implementation acquired knowledge; secondly, perfect mastery ability so...

We explain why central counterparties (CCPs) emerged historically. With standardized contracts, it is optimal to insure counterparty risk by clearing those contracts through a CCP that uses novation and mutualization. As netting is not essential for these services, it does not explain why CCPs exist. In over-the-counter markets, as contracts are customized and not fungible, a CCP cannot fully g...

We present a deep learning framework for computer-aided lung cancer diagnosis. Our multi-stage framework detects nodules in 3D lung CAT scans, determines if each nodule is malignant, and €nally assigns a cancer probability based on these results. We discuss the challenges and advantages of our framework. In the Kaggle Data Science Bowl 2017, our framework ranked 41st out of 1972 teams.