Lock-in practices of online services hinder consumers from switching frictionlessly to a competitor once they are unsatisfied with the company’s service offering, privacy practices, or philosophy. The ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...

☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data ...

Longitudinal data analysis in a multidimensional age-period-cohort design should be extended in the current research on social change of societies, their social structures, organizations, and ...

Alzheimer's disease (AD), as a severe neurodegenerative disease, is now attracting more and more researchers' attention in the healthcare. With the development of magnetic resonance imaging (MRI), the ...