Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and ...

Length of stay is a crucial metric in healthcare management, reflecting the duration a patient occupies a hospital bed.

A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only ...

A new LMU study shows how proteins function reliably even without a stable 3D structure—and the crucial importance not only of short sequence motifs, but also of chemical characteristics.

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and ...

A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only of short sequence ...

A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only of short sequence ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily ...

Conclusion Incorporating FFM into equations to predict VO 2max fails to explain the negative effect of central adiposity. However, by incorporating M and percentage body fat (BF%) separately into the ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Introduction Glucose is a major determinant of fetal growth, but its relative contribution in different ethnic groups or ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in ...