prediction of the outcome and severity of acute upper gastrointestinal bleeding (ugib) has significant importance in patient care, disposition, and determining the need for emergent endoscopy. recent international recommendations endorse using scoring systems for management of non-variceal ugib patients. to date, different scoring systems have been developed for predicting the risk of 30-day mo...

This paper is the result of an investigation into applying statistical tools and methodologies to the discovery of digital evidence. Multiple statistical methods were reviewed; the two most useful are presented here. It is important to note that this paper represents an inquiry into the value of applied mathematical analysis to digital forensics investigations. Readers are encouraged to explore...

In this study, we present a pronunciation scoring method for second language learners of English (hereafter, L2 learners). This study presents a method using both confidence scoring and classifiers. Classifiers have an advantage over confidence scoring for specialization in the specific phonemes where L2 learners make frequent errors. Classifiers (Landmark-based Support Vector Machines) were tr...

Scoring functions are widely applied to the evaluation of protein-ligand binding in structure-based drug design. We have conducted a comparative assessment of 16 popular scoring functions implemented in main-stream commercial software or released by academic research groups. A set of 195 diverse protein-ligand complexes with high-resolution crystal structures and reliable binding constants were...

Neural approaches to automated essay scoring have recently shown state-of-theart performance. The automated essay scoring task typically involves a broad notion of writing quality that encompasses content, grammar, organization, and conventions. This differs from the short answer content scoring task, which focuses on content accuracy. The inputs to neural essay scoring models – ngrams and embe...