samples of participants’ writing were scored by two raters using toefl writing scoring rubric. the readability index of each text was calculated through the use of six readability formulae and graphs, i.e., flesch-kincaid index, reading ease index, fog index, smog formula, fry’s graph, and dale-chall readability index. the scores given to each essay were later compared to the obtained readabili...

Abstract Purpose Eight of the ten items Dermatology Life Quality Index (DLQI) have a ‘not relevant’ response (NRR) option. There are two possible ways to interpret NRRs: they may be considered at all’ or missing responses. We aim compare measurement performance DLQI in psoriasis patients when NRRs scored as ‘0’ (hereafter zero-scoring) and ‘missing’ missing-scoring) using Rasch model analysis. ...

BACKGROUND In hereditary forms of cancer due to mutations of genes such as BRCA1 and BRCA2, methods have been proposed to predict the presence of a mutation in a family. METHODS Relying on carriage probability computation is the most predictive, but scores are a good proxy and avoid using computer software. An empirical method, the Manchester scoring system, has been elaborated for BRCA1 and ...

BACKGROUND Progress testing is an assessment tool used to periodically assess all students at the end-of-curriculum level. Because students cannot know everything, it is important that they recognize their lack of knowledge. For that reason, the formula-scoring method has usually been used. However, where partial knowledge needs to be taken into account, the number-right scoring method is used....

Psychological aggression in females' dating relationships has received increased empirical attention in recent years. However, researchers' have used numerous measures of psychological aggression and various scoring methods with these measures, making it difficult to compare across studies on psychological aggression. In addition, research has yet to examine whether different scoring methods fo...

Computational approaches to drug discovery can reduce the time and cost associated with experimental assays and enable the screening of novel chemotypes. Structure-based drug design methods rely on scoring functions to rank and predict binding affinities and poses. The ever-expanding amount of protein-ligand binding and structural data enables the use of deep machine learning techniques for pro...

MOTIVATION Gene set analysis is the analysis of a set of genes that collectively contribute to a biological process. Most popular gene set analysis methods are based on empirical P-value that requires large number of permutations. Despite numerous gene set analysis methods developed in the past decade, the most popular methods still suffer from serious limitations. RESULTS We present a gene s...

BACKGROUND In order to identify novel chemical classes of β-secretase (BACE-1) inhibitors, an alternative scoring protocol, Principal Component Analysis (PCA), was proposed to summarize most of the information from the original scoring functions and re-rank the results from the virtual screening against BACE-1. METHOD Given a training set (50 BACE-1 inhibitors and 9950 inactive diverse compou...

We investigate two methods for enhancing variation in the output of a stochastic surface realiser: choosing from among the highest-scoring realisation candidates instead of taking the single highestscoring result (ε-best sampling), and penalising the words from earlier sentences in a discourse when generating later ones (anti-repetition scoring). In a human evaluation study, subjects were asked...