Objectives To evaluate knowledge, attitudes and practices towards routine vaccination in the Lebanese population in the post-COVID-19 period, and to examine differences between COVID-19 vaccinated and ...
ABSTRACT: This article exploits the statistical distance T2 for the detection of cutting tool drift in the case of CNC machine tools. We present a control approach based on the T2 chart and inertial ...
This valuable study tests whether prediction error or prediction uncertainty controls how the brain segments continuous experience into events. The paper uses validated models that predict human ...
As enterprises race to become data-first, CIOs are shifting from IT leaders to business enablers—breaking silos, simplifying access, and embedding data-driven culture across functions. At the ETCIO ...
Biologics manufacturing entails multiple complex unit operations across three key process areas: cell culture, purification, and sterile fill–finish (Figure 1). Numerous raw materials are used to ...
While crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented.
An efficient multivariate single control chart to simultaneously monitor ‘location or mean’ and ‘scale or variabilities’, based on individual observations of multiple quality characteristics (MQC), is ...
Abstract: Currently, it is important to monitor multivariate data in a timely manner. The spatial-rank-based multivariate exponentially weighted moving average control chart (SREWMA) has better ...
Synchronization of variable trajectories from batch process data is a delicate operation that can induce artifacts in the definition of multivariate statistical process control (MSPC) models for ...
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