In order to increase the capacity of TDMA cellular radio networks, the reuse factor may be recduced. However, in this case the system performance is limited by cochannel interference, unless cochannel interference cancellation is done. Therefore, cochannel interference cancellation is a hot topic at the moment. Assuming perfect knowledge of the channel coefficients of the desired user and the i...

INTRODUCTION Meta-analyses of genetic association studies are affected by biases and quality shortcomings of the individual studies. We previously developed and validated a risk of bias tool for use in systematic reviews of genetic association studies. The present study describes a larger empirical evaluation of the Q-Genie tool. METHODS AND ANALYSIS MEDLINE, Embase, Global Health and the Hum...

We derive a genie-based outer bound for the sum rate of discrete memoryless interference channels. We define a class of very weak interference channels and study a sub-class called the binary skewed-Z interference channel. We use the genie based outer bound to deduce the sum-capacity in a non-trivial regime of parameters for this sub-class.

Abstract Background Treatment adherence is key to the efficacy of exclusive enteral nutrition (100% EN) in active Crohn’s disease (CD), but there are currently no biomarkers objectively support this. We explored faecal parameters as putative compliance with 100% EN, and subsequently developed validated Glasgow Exclusive Nutrition Index compliancE (GENIE). Methods Healthy adults replaced all or ...

Student engagement indicators, such as behavior and affective states, are known to impact learning. This study uses an established quantitative field observation method to evaluate engagement during students’ use of a new version of an online learning system (Reasoning Mind’s Genie 3). Improvements to Genie 3’s design intended to increase engagement include: using virtual small-group tutoring e...

Inference in Bayesian networks is used to calculate the posterior probability distributions of unobserved variables in a network. These posterior probability distributions are used to draw conclusions and are the basis for decisions, in the domain of a particular model. Inference is a complex process and can be difficult to understand for even the most experienced Bayesian network users. In thi...

Today, the automatic text classification is still an open problem and its implementation in companies and organizations with large volumes of data in text format is not a trivial matter. To achieve optimum results many parameters come into play, such as the language, the context, the level of knowledge of the issues discussed, the format of the documents, or the type of language that has been u...

Initial work in the Grid ENabled Integrated Earth system model (GENIE) project involved a series of parameter sweep experiments using a Grid infrastructure consisting of a flocked Condor pool, a web service oriented data management system and a web portal. In this paper we introduce the Imperial College E-Science Networked Infrastructure (ICENI) Grid middleware, and describe how it can be used ...

At Lancaster University we are investigating about the two following challenges (i) how to develop new, scalable and adaptable middleware systems offering richer functionality and services, and (ii) how to do it in a more efficient, systematic, and if possible automatic way that guaranties that the ultimately configured middleware will offer the required functionality. This article is centered ...

In this paper, we study the degrees of freedom (DoF) of the MIMO relay networks. We start with a general Y channel, where each user has Mi antennas and aims to exchange messages with the other two users via a relay equipped with N antennas. Then, we extend our work to a general 4-user MIMO relay network. Unlike most previous work which focused on the total DoF of the network, our aim here is to...