BACKGROUND Subjects with Attention-Deficit Hyperactivity Disorder (ADHD) are overdistractible by stimuli out of the intended focus of attention. This control deficit could be due to primarily reduced attentional capacities or, e. g., to overshooting orienting to unexpected events. Here, we aimed at identifying disease-related abnormalities of novelty processing and, therefore, studied event-rel...

The given article deals with a quantitative analysis of English compounds in six novels of the first half of the twentieth century. The objective of the article is twofold: a) we are intended to reveal the most frequent structural patterns of the English compounds statistically; b) it is necessary to determine and measure the cohesion for the English compounds. The material of the research is r...

In this Late-breaking/Demo submission, we present a completely revamped version of the RAMA interactive artist network visualization prototype. This version keeps most features from previous versions, and additionally to an improved graphical design 1 and an improved compatibility with diverse Operating Systems and web browsers, it adds a number of features aiming at a better music discovery ex...

Better representations of plot structure could greatly improve computational methods for summarizing and generating stories. Current representations lack abstraction, focusing too closely on events. We present a kernel for comparing novelistic plots at a higher level, in terms of the cast of characters they depict and the social relationships between them. Our kernel compares the characters of ...

o-Fructose 1,6-bis(phosphate) aldolase from rabbit muscle (RAMA, 8.C.4.L.2.13) catalyzes the aldol condensation betwe.tr dihyd.oxyacetone phosphate (DHAP) and various aldehydes; the products are ketosugars with 3(S),4iR) stereochemistry. When racemic a-hydroxy aldehydes are condensed with DHAF, two diastereomeric products are formed. This paper demonstrates that RAMA can kinetically resolve a-h...

This article describes a simple unsupervised system for automatic extraction and classification of named entities in French novels. The solution presented combines a set of different standalone classifiers within a meta-recognition system. The system is tested on 35 classic French novels, representing 5 million words and 3,700 names of people and places. The results demonstrate that although no...

This flow can be quantified and compared by analyzing the text using natural language processing techniques. This study uses word embedding models to generate time series for novels and then compare the resulting series using dynamic time warping to find similarities. Considering time series analysis rather than a pure statistical one can capture the flow of the works and thus the similarities ...

popular novels are among recentphenomena in literary trends with a large number of audience and high salerates. this paper is an attempt to analyze the degree and reasons forreading popular novels by students of university of isfahan. we studied popularnovels in three different dimensions:  appearance, content and literary qualities.variables such as gender, level of education, socio-economic s...