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Gaussian process (GP) models are nowadays considered among the standard tools in modern control system engineering.

Computational models are nowadays a powerful and reliable tool for simulating different thermo-mechanical metallurgical processes, hence, they are increasingly being used to investigate the technological windows of different processes in the steel industry—for example, continuous casting, hot and cold rolling, and heat treatments.

The issue of how memory CD8 T cells are generated has remained controversial [5], [11] [17], although broadly two models are nowadays acknowledged.

Adequate in vitro models are nowadays available, based on cell cultures grown on permeable supports [ 5].

Numerous accelerometer brands and models are nowadays available for the objective assessment of physical activity.

Many draft models are nowadays generated through the identification and comparison of homologs with the GPRs of curated models [ 58- 61].

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Nevertheless, the aggregation of models is nowadays limited by the communication between stakeholders and interdisciplinary understanding.

Predicting facies distribution and the stratigraphic architecture of sedimentary basins by process-oriented numerical models is nowadays an essential tool in geologic studies.

However, due to developments in computer sciences, using mixed models is nowadays widespread in experimental designs and clinical trial studies where the sample sizes are not sufficiently large and/or sometimes the number of measurements is large.

Of particular relevance for urban energy modelling are nowadays LoD1 and LoD2 models, despite their of lack precise information about glazed surfaces.

Computer modelling is nowadays an indispensable tool in industry for developing solidification equipment and processes.

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