Predicting plant growth is a fundamental challenge that can be employed to analyze plants and further make decisions to have healthy plants with high yields.Deep learning has recently been showing its potential to address this challenge in recent years, however, there are BOOK still two issues.First, image-based plant growth prediction is currently

Abstract Background Cancer molecular subtyping plays a critical role in individualized patient treatment.In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes.Unfortunately, the existing ones suffer from the curse of dimensionality, data sparsity, and computational deficiency.Met

We are developing a unified distributed communication environment for processing of spatial data which integrates web-, desktop- and mobile platforms and combines volunteer computing model and public cloud possibilities.The main idea is to create a flexible working environment for research groups, which may be scaled according to required data volu

Background: Health care informatics is the scientific field that deals with the data capture, storage, retrieval, and use of biomedical data, information, and knowledge for problem solving and decision-making.The objectives of the study were to describe the web-based portals used at the Primary Health Centre (PHC) and to appraise its utilization at

Brain activity related to time estimation processes in humans was analyzed using a perceptual phenomenon called auditory temporal assimilation.In a typical stimulus condition, two neighboring time intervals (T1 and T2 in this order) are perceived as equal even when the physical lengths of these time intervals are considerably different.Our previous