This study aims to explore and compare a novel deep learning-based quantification with the
conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT …

Functional precision medicine aims to match individual cancer patients to optimal treatment
through ex vivo drug susceptibility testing on patient-derived cells. However, few functional …

Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying
changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and …

In opinion dynamics, as in general usage, polarisation is subjective. To understand
polarisation, we need to develop more precise methods to measure the agreement in …

Long-range interactions and correlations are distinctive attributes of non-equilibrium
processes. A suitable tool for studying long-range interactions in polycrystalline materials is …

The distribution of human Lyme borreliosis (LB) is assumed random in Germany, indicating
that the human pathogenic species of the Borrelia burgdorferi sensu lato complex (Bb) are …

Detecting the research structure and topic trends of social media using static and dynamic
probabilistic topic models | Emerald Insight Books and journals Case studies Expert …

This paper presents a comprehensive and innovative evaluation framework for identifying a
reliable population synthesis for agent-based modeling–transportation-oriented simulations …

The target of this paper is to offer a compact review of the so called distance methods in
Statistics, which cover all the known estimation methods. Based on this fact we propose a …

Successful tracking of an extended object requires accurate estimation of the target's shape.
In order to evaluate the estimation performance of such tracking algorithms, the target shape …