Thatched Partial Orders

A thatch is a type of partial ordering which is most naturally described as a geometric construction. The geometry of these constructions is outlined in this note. A wait-and-see concurrent process may include any number of sub-processes, each regarded as a separate thread of execution. However if at any point the process launches a collection of concurrent threads it must wait and see how they terminate before proceeding. Each sub-process may also launch further sub-processes, which are also subject to the wait and see restriction. A wait-and-see process can be regarded as a thatch. This note describes some interesting mathematical properties of thatching that are relevant to these concurrent processes

Turning the Tide on Persistent Rural Poverty: Blueprint for a Path Forward

It is the goal of NeighborWorks America to make every place a community of opportunity. Unfortunately, some areas are being left behind more than others as our global and national economies continue to shift. Rural communities are among them. The people who have toiled in the coal mines of Kentucky and West Virginia, as well as in the paper and textile mills in Maine and western North Carolina, have not fared well in the changing economy. Likewise, the historically disenfranchised Native Americans in the Southwest, Latinos in the border colonias and the residents of the disaster-plagued Delta are struggling to survive. Our country needs to bring opportunity back to these regions and their people.Although rural America accounts for less than 20 percent of the country's overall population, 85 percent of persistent-poverty counties are outside of metro areas. Yet at the same time, there are so many examples of people and organizations doing good work; they just need support and the resources to go to scale. Special attention clearly is required, and that's why we formed the Rural Initiative

Submission to the Commons Select Committee on Education

Computing is a rigorous, intellectually rich discipline alongside Maths, Science, or History. Like those subjects, Computing explores foundational principles and ideas, rather than training students in skills that date quickly. In an increasingly digital, knowledge-based age, Computing is fundamental both to full citizenship, and to our economic health as a nation. Yet, incredibly, Computing is virtually absent from UK schools. Instead, secondary schools in England currently teach ICT. The original concept behind ICT was to teach students how to use software to solve real-world problems. That would have been a tremendous achievement had it succeeded. However, what has actually happened in far too many schools is that ICT focuses solely upon IT literacy, and supporting teaching and learning in other curriculum contexts. ICT is not the discipline of understanding and knowledge of computers and the way they work.The creation of the EBac provides the perfect opportunity to send a clear signal to schools and pupils of the importance of Computing. Our key recommendation is that Computing (unlike ICT) should “count” towards the English Baccalaureate.On behalf of Computing at School:Dr. John WoollardProf. Simon Peyton-JonesDr. Bill Mitchel

Bible in Mission

While the essays in this volume contribute individually to collective reflection on the Bible in mission, the larger significance of the book is greater than the sum of its parts. First it must be noted that the volume is part of the larger 2010 process, a collection of essays that grew from a “transversal” theme identified for the centennial of the World Missionary Conference at Edinburgh. As such, it joins a rich collection of contemporary missiological reflection generated by the series of 2010 meetings.https://scholar.csl.edu/edinburghcentenary/1002/thumbnail.jp

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

We present a novel response generation system that can be trained end to end on large quantities of unstructured Twitter conversations. A neural network architecture is used to address sparsity issues that arise when integrating contextual information into classic statistical models, allowing the system to take into account previous dialog utterances. Our dynamic-context generative models show consistent gains over both context-sensitive and non-context-sensitive Machine Translation and Information Retrieval baselines.Comment: A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji, M. Mitchell, J.-Y. Nie, J. Gao, B. Dolan. 2015. A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. In Proc. of NAACL-HLT. Pages 196-20