Simple Summary The ongoing advancements in deep learning, notably its use in predicting
cancer survival through genomic data analysis, calls for an up-to-date review. This paper …

Clinical trials in oncology largely include survival analysis, that is, the time to the occurrence
of an event of interest as the primary outcome of the study. Survival analysis can be …

The idea of a digital twin has recently gained widespread attention. While, so far, it has been
used predominantly for problems in engineering and manufacturing, it is believed that a …

In the last decade, hundreds of papers have been published on fractional modeling. The
approach is often similar, with the motivation of incorporating a “memory effect”: take the …

In recent years there is a data surge of industrial and business data. This posses
opportunities and challenges at the same time because the wealth of information is usually …

The identification of prognostic biomarkers for predicting cancer progression is an important
problem for two reasons. First, such biomarkers find practical application in a clinical context …

This study analyzed the possibility and time gap in the adoption of electric trucks during the
intention-purchase stage. An online survey was conducted with 980 freight fleets in Zhejiang …

Currently, more than 360 spray adjuvants are registered in Germany (September 2021).
Unlike plant protection products (PPPs), adjuvants are not subjected to regulatory risk …

Gender specific all-cause mortality risk associated with a high somatic symptom burden
(SSB) in a population-based cohort was investigated. The study population included 5679 …

In this paper, we investigate non-single exponential photoluminescence decays in various
disordered condensed-matter systems. For such materials, two formulas for the average …