Motivation: Biclustering gene expression data is the problem of extracting submatrices of genes and conditions exhibiting significant correlation across both the rows and the columns of a data matrix of expression values. ...

Numerical simulations of brain networks are a critical part of our efforts in understanding brain functions under pathological and normal conditions. For several decades the community has developed many software packages ...

While similar to 30% of the human genome encodes membrane proteins only a handful of structures of membrane proteins have been resolved to high resolution. Here we studied the structure of a member of the Cys-loop ligand ...

Patients with end-stage renal disease (ESRD) report high levels of emotional problems and poor compliance with treatment and quality of life. Nevertheless there are not many studies which examine the effectiveness of ...

Motivation: Analysis of protein-protein interaction (PPI) networks provides invaluable insight into several systems biology problems. High-throughput experimental techniques together with computational methods provide ...

This paper discusses the training of nurses in smoking cessation as part of routine patient care in Turkey. Formative research was carried out prior to training to identify challenges faced by smokers when trying to quit. ...

Significance: Secondhand tobacco smoke (SHS) exposure is a major cause of morbidity and mortality around the world. The objective of this study was to evaluate the presence of smoking in outdoor areas of public places in ...

The chiral clock spin-glass model with q = 5 states with both competing ferromagnetic-antiferromagnetic and left-right chiral frustrations is studied in d = 3 spatial dimensions by renormalization-group theory. The global ...

We aim to uncover the binding modes of benzothiazoles which have been reported as specific inhibitors of triosephosphate isomerase from the parasite Trypanosoma cruzi (TcTIM) by performing blind dockings on both TcTIM and ...

Behavior mapping (BM) is a spatial data collection technique in which the locational and behavioral information of a user is noted on a plan layout of the studied environment. Among many indoor positioning technologies we ...