Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

This study aims to assess water quality and its suitability in terms of consumption and irrigation in the Noun Catchment Area (NCA) in the Western Highlands of Cameroon. To achieve this objective, 19 ...

Objectives Acute anterior ischaemic optic neuropathy (AION) is a feared ischaemic complication of giant cell arteritis (GCA).

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 asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

Innovation in health care relies on the ability to figure out what the data is trying to teach us. Data analytics, including but not limited to GenAI powered data analytics, presents an insatiable ...