Let’s look at what correlation means in terms of the relationship between variables. Although our focus will be on positive ...

Accurate forest volume estimation is crucial for sustainable forest management, but the most commonly used methods often rely on models that may not always be applicable across different tree species ...

Healthcare workers (HCWs) actively involved in patient care at tertiary care hospitals face significant stress and workload, ...

Background The Prognostic Nutritional Index (PNI), calculated from serum albumin levels and lymphocyte counts, is a simple ...

Objective Glenohumeral (GH) osteoarthritis (OA) is the third most common large joint disease, after hip and knee OA. This ...

Methods Retrospective interventional non-randomised ... and ICS (r=−0.020, p=0.734). In the multivariate regression analysis, the negative impact of foveal detachment was confirmed (r=−0.199, p=0.05) ...

PORTLAND, KY, UNITED STATES, February 3, 2025 /EINPresswire / -- Metabolomics includes the application of a variety of analytical methods such as spectroscopy, chromatography, and multivariate ...

In this paper proposes a sensitivity analysis method based on a Polynomial Chaos Expansion (PCE) surrogate model for flexoelectric materials. The non-uniform rational B-splines (NURBS) basis functions ...

This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content ...

It offers customizable dashboards for better strategy planning and integrates various data sources for comprehensive analysis. Alpha Research provides in-depth analysis of stocks for investors and ...

Characterization and analytical techniques are methods used to identify, isolate or quantify chemicals or materials, or to characterize their physical properties. They include microscopy ...