Monte Carlo (MC) and kinetic Monte Carlo (kMC) models are widely used for studying the
physicochemical surface phenomena encountered in most deposition processes. This …

Inefficient use of fertilizers in agriculture is a major issue in global food production as it
hampers economic viability of farms and offers great risk of environmental pollution …

Accurate quantification of propeller excitation is essential for effective vibro-acoustic analysis
and mitigation in marine vessels. This study introduces a Bayesian statistical framework that …

ABSTRACT The Epoch of Reionization (EoR) is a key period of cosmological history in
which the intergalactic medium (IGM) underwent a major phase change from being neutral …

We integrate geodetic, geological and seismological observations in Tierra del Fuego, into a
consistent and quantitative analysis, to better understand the current crustal deformation …

A new method for measuring scientific productivity is proposed. Each researcher is initially
associated with a cumulative score over time, reflecting the quality of the papers based on …

It is very important to compute the mutation spectra, and simulate the intra-host mutation
processes by sequencing data, which is not only for the understanding of SARS-CoV-2 …

Modelling a process requires a priori knowledge of the possible causal relationships
between the study variables and the response, especially when the raw material is waste. A …

To reduce drivers' cognitive load during the driving process, The present study concentrates
on the cognitive evaluation and analysis of the Head-Up Display (HUD) interface layout …

The technology acceptance scale (TAS) by van der Laan, Heino, and De Waard (1997)
measures the psychological construct of the same term as a sum of attitudes of an operator …