The goal of neurogam is to provide utilities for estimating the onset and offset of time-resolved effects, such as those found in M/EEG, pupillometry, or finger/mouse-tracking data (amongst others).

Analyzing over-time dyadic data can be challenging, particularly when using multilevel models with complex random-effect structures. This tutorial lays out the best practices of model specification ...

Have you ever imagined turning a simple sketch into a fully detailed 3D model without the usual headaches of trial and error? Enter Nano Banana, a tool so unexpected in its origins, yet so innovative ...

ABSTRACT: The concept of a cashless society has emerged as a prominent research subject, with scholars exploring its advantages and disadvantages extensively. A review of the existing literature ...

Many technologies rely on electric discharge phenomena, including consumer electronics, medical devices, and high-voltage power systems. During product development, it is highly beneficial to simulate ...

Adrian Beaumont does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

ABSTRACT: In the context of the ongoing reform of educational evaluation, this study examines the implementation pathways of value-added assessment. Utilizing a horizontal comparative analysis of ...

This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...