In the mid eighties, the System Architecture Research Centre at City University developed a message-passing, UNIX compliant micro kernel (Meshix) for our own scalable distributed memory architecture (Topsy). Over the last two years we have been engaged in a research programme aimed at learning from this experience, and developing a new operating system based on these lessons. The result is the ...

Introduction Based in Tel Aviv, Israel, Seraphim Sense Ltd is the creator of the Angel sensor, a wearable wristband with the capacity to track the user's vital signs. Founded by Eugene Jorov and Amir Schlomovich, the Angel device is the company’s first product and has been under development for the past two years. In 2013, Seraphim Sense launched a crowdfunding campaign on the web-based platfor...

Based on a sample of 539 angel investors, we empirically test the impact of new ventures’ resource acquisition/allocation strategies in different development stages on angels’ abnormal returns and their extremeness. Our findings suggest that at earlier stages, ventures whose entrepreneurs focus more on securing new resources tend to not only give angel investors lower abnormal returns, but also...

This paper develops a theory of how angel and venture capital markets interact. Entrepreneurs first receive angel then venture capital funding. The two investor types are ‘friends’ in that they rely upon each other's investments. However, they are also ‘foes,’ because at the later stage the venture capitalists no longer need the angels. Using a costly search model we derive the equilibrium deal...

On the occasion of the celebration of the first half-century of Yang–Mills theories, I am contributing a personal recollection of how the subject, in its early times, confronted physical reality, that is, its “phenomenology”. There is nothing original in this work, except, perhaps, my own points of view. But I hope that the older practitioners of the field will find here grounds for nostalgia, ...

Machine Learning (ML) techniques now are ubiquitous tools to extract structural information from data collections. With the increasing volume of data, large-scale ML applications require an efficient implementation to accelerate the performance. Existing systems parallelize algorithms through either data parallelism or model parallelism. But data parallelism cannot obtain good statistical effic...

In this paper the multiple projects resourceconstrained project scheduling problem is considered. Several projects are to be scheduled simultaneously with sharing several kinds of limited resources in this problem. Each project contains non-preemptive and deterministic duration activities which compete limited resources under resources and precedence constraints. Moreover, there are the due dat...