Background: Growing evidence suggests that body composition has a significant influence on cognitive function. However, their relationship remains controversial. This study investigated the ...

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

In my 19 years of experience with vibration analysis in refinery and chemical plants and 15 years in the oil and gas sector, I have set up, managed, or supervised numerous vibration programs for ...

This study addresses a critical methodological gap by developing and validating a psychometrically robust, multidimensional socially shared regulated learning (SSRL) questionnaire. Grounded in ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Every investment portfolio is a bundle of risk factors - value and growth stocks, small-cap vs. large-cap stocks, and so on. Regardless of whether you target specific factors or ignore them, these ...

For over 30 years, the National Institute of Corrections (NIC) has been the industry standard for staffing analysis within the corrections community, providing a structured methodology crucial for ...

This work presents the quantitative and qualitative analysis, as well as the experimental results of a practical implementation of the Single-Phase Bridgeless Hybrid Switched Capacitor Rectifier ...