The purpose of this study was to determine if a pharmacology medical history assignment would enable dental students to demonstrate improved knowledge and understanding of pharmacology by researching the drugs their patients were taking and recording pharmacological information in their patients' health records. The study followed a pretest-posttest design and evaluated students' knowledge of t...

To improve the accuracy of pulse matching and mapping quality lightning discharges, Pearson correlation method combined with empirical mode decomposition (EMD) is introduced for discharge electric field matching. This paper uses new to locate channels an intra-cloud (IC) flash a cloud-to-ground (CG) analyzes location results two flashes. The show that this has good performance in location. Comp...

Evaluating the similarity of different measured variables is a fundamental task of statistics, and a key part of many bioinformatics algorithms. Here we propose a Bayesian scheme for estimating the correlation between different entities' measurements based on high-throughput sequencing data. These entities could be different genes or miRNAs whose expression is measured by RNA-seq, different tra...

Some of the main users of statistical methods { economists, social scientists, and epidemiologists { are discovering that their elds rest not on statistical but on causal foundations. The blurring of these foundations over the years follows from the lack of mathematical notation capable of distinguishing causal from equational relationships. By providing formal and natural explica-tion of such ...

Motivated by the potential use of collaborative tagging systems to develop new recommender systems, we have implemented and compared three variants of user-based collaborative filtering algorithms to provide recommendations of articles on CiteULike. On our first approach, Classic Collaborative filtering (CCF), we use Pearson correlation to calculate similarity between users and a classic adjust...