North Bolton Sixth Form College: report from the Inspectorate (FEFC inspection report; 93/97)

The Further Education Funding Council has a legal duty to make sure further education in England is properly assessed. The FEFC’s inspectorate inspects and reports on each college of further education according to a four-year cycle. This record contains such report for the period 1996-97

Charles Keene College of Further Education (FEFC inspection report; 45/96)

Further Education Funding Council (FEFC) inspection report for the period 1995-96 (45/96). The FEFC has a legal duty to make sure further education in England is properly assessed. Inspections and reports on each college of further education are conducted according to a four-year cycle. "Charles Keene College of Further Education in Leicester has been successful in attracting an increasingly wide range of students, especially those from groups which have not usually entered further education. This is helped by the delivery of courses in a network of centres throughout Leicester." - Page 1

Towards a Scalable Dynamic Spatial Database System

With the rise of GPS-enabled smartphones and other similar mobile devices, massive amounts of location data are available. However, no scalable solutions for soft real-time spatial queries on large sets of moving objects have yet emerged. In this paper we explore and measure the limits of actual algorithms and implementations regarding different application scenarios. And finally we propose a novel distributed architecture to solve the scalability issues.Comment: (2012

Barking College: report from the Inspectorate (FEFC inspection report; 21/95 and 50/98)

The Further Education Funding Council has a legal duty to make sure further education in England is properly assessed. The FEFC’s inspectorate inspects and reports on each college of further education according to a four-year cycle. This record comprises the reports for periods 1994-95 and 1997-98

Questionnaire data: summary of findings - year 4, 2006

ICT Test Bed questionnaire analysis - learners, teachers, headteachers and familie

Measuring and Managing Answer Quality for Online Data-Intensive Services

Online data-intensive services parallelize query execution across distributed software components. Interactive response time is a priority, so online query executions return answers without waiting for slow running components to finish. However, data from these slow components could lead to better answers. We propose Ubora, an approach to measure the effect of slow running components on the quality of answers. Ubora randomly samples online queries and executes them twice. The first execution elides data from slow components and provides fast online answers; the second execution waits for all components to complete. Ubora uses memoization to speed up mature executions by replaying network messages exchanged between components. Our systems-level implementation works for a wide range of platforms, including Hadoop/Yarn, Apache Lucene, the EasyRec Recommendation Engine, and the OpenEphyra question answering system. Ubora computes answer quality much faster than competing approaches that do not use memoization. With Ubora, we show that answer quality can and should be used to guide online admission control. Our adaptive controller processed 37% more queries than a competing controller guided by the rate of timeouts.Comment: Technical Repor

Special Libraries, November 1980

Volume 71, Issue 11https://scholarworks.sjsu.edu/sla_sl_1980/1009/thumbnail.jp