Acknowledgements: Generous support was provided for this study by the Bill and Melinda Gates Foundation, the US Agency for International Development, Economic Growth and Agricultural Trade Division. We also thank Stanford University’s Center for Food Security and the Environment for additional support for the preparation of this study. This study has benefited from the thoughtful comments of De...

Territorial threat is costly and variable across contexts behavioural flexibility favoured to maximize any cost/benefit ratio. This well illustrated in how animals react familiar or unfamiliar outgroup members. In some situations, neighbours are better tolerated than strangers, resulting a ‘dear-enemy effect’; other the pattern reversed, ‘nasty-neighbour effect’. Typically, effects species-spec...

MicroRNAs (miRNAs) are key regulators of diverse biological processes and their functional analysis has been deemed central in many research pipelines. The new version of DIANA-miRPath web server was redesigned from the ground-up. The user of DNA Intelligent Analysis (DIANA) DIANA-miRPath v2.0 can now utilize miRNA targets predicted with high accuracy based on DIANA-microT-CDS and/or experiment...

This paper combines two different approaches to modeling reaction time data from lexical decision experiments, viz. a dataoriented statistical analysis by means of a linear mixed effects model, and a process-oriented computational model of human speech comprehension. The linear mixed effect model is implemented by lmer in R. As computational model we apply DIANA, an end-to-end computational mod...

DIANA is an end-to-end computational model of speech processing, which takes as input the speech signal, and provides as output the orthographic transcription of the stimulus, a word/non-word judgment and the associated estimated reaction time. So far, the model has only been tested for Dutch. In this paper, we extend DIANA such that it can also process North American English. The model is test...

microRNAs (miRNAs) are 20-22 nt noncoding RNAs which are rapidly emerging as crucial regulators of gene expression in plants and animals. Identification of the hairpins which yield mature miRNAs is the first and most challenging step in miRNA gene prediction. We believe this step can best be achieved with biologically motivated feature design and classification techniques which account for the ...

Details of recent developments of the Feynman diagram analyzer DIANA (DIagram ANAlyser) are presented. Apart from some discussion about QGRAF and new plotting features, we concentrate on a new sophisticated mechanism of momenta mapping. The C-program DIANA (DIagram ANAlyser) for the automatic Feynman diagram evaluation was first documented in [1] 1. Meanwhile there exists a growing series of ap...