OBJECTIVE Multiple linear regression (MLR) and machine learning techniques in pharmacogenetic algorithm-based warfarin dosing have been reported. However, performances of these algorithms in racially diverse group have never been objectively evaluated and compared. In this literature-based study, we compared the performances of eight machine learning techniques with those of MLR in a large, rac...

All member of family referred to our clinic complaining of white nails. Physical examination revealed clinical features of leukonychia totalis and also the presence of sensor ineural hearing loss (SNHL), palmoplantar keratoderma (PPK) and knuckle pads, the four essential criteria for the diagnosis of Bart Pumphrey syndrome. Three generations were affected with variable presentations in ma...

The WAM traditionally optimizes for lists in two ways: by a list-specialized instruction set (LSIS) and by a list-specialized data representation (LSDR). These are partly orthogonal and their relative merit is unknown. In this paper, we perform an experiment within hProlog, which compares the schemas (LSIS+LSDR), (LSIS) and (). If no LSDR is used, it means that lists are treated as the syntacti...

Weighted polytomous ordering theory (WPOT) is suitable for polytomous data set. It considers the weight on precondition relations between elements. The method WPOT would help us to find the hierarchical structure among elements. The purpose of this paper is to discuss WPOT and utilize it in analyzing the mathematics measurement data. The research applies WPOT in the concept structures analysis ...

Niemand die zo vaak en welsprekend van zijn liefde voor de sociologie getuigde als Bart Heerikhuizen (1948-2022). Nico Wilterdink bespreekt bijdrage aan Nederlandse sociologie.

This study developed an interpersonal modification of the balloon analogue risk task (BART) to assess effects of a friend's real-time facial expressions on coparticipants' risk-taking. Twenty pairs of male friends and 20 pairs of female friends completed two counterbalanced versions of BART, one framed in terms of monetary gain, and the other framed in terms of avoiding loss. Each pair included...

Additive regression trees are flexible nonparametric models and popular off-the-shelf tools for real-world non-linear regression. In application domains, such as bioinformatics, where there is also demand for probabilistic predictions with measures of uncertainty, the Bayesian additive regression trees (BART) model, introduced by Chipman et al. (2010), is increasingly popular. As data sets have...

Greater impulse and risk-taking and reduced decision-making ability were reported as the main behavioral impairments in individuals with internet gaming disorder (IGD), which has become a serious mental health issue worldwide. However, it is not clear to date how the risk level modulates brain activity during the decision-making process in IGD individuals. In this study, 23 adolescents with IGD...

Abstract Idiomatic expressions (IEs), characterized by their non-compositionality, are an important part of natural language. They have been a classical challenge to NLP, including pre-trained language models that drive today’s state-of-the-art. Prior work has identified deficiencies in contextualized representation stemming from the underlying compositional paradigm representation. In this wor...

Viral gene sequences from an enlarged set of about 200 Epstein-Barr virus (EBV) strains, including many primary isolates, have been used to investigate variation in key viral genetic regions, particularly LMP1, Zp, gp350, EBNA1, and the BART microRNA (miRNA) cluster 2. Determination of type 1 and type 2 EBV in saliva samples from people from a wide range of geographic and ethnic backgrounds dem...