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 ...

A new study published in AI Materials presents a comprehensive multi-scale computational framework capable of predicting the mechanical responses of Fe–Cr–Al alloys while incorporating both ...

Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...

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 ...

The angels have officially arrived. And while the pink carpet was a sight to behold, the runway itself is where the magic truly happens as the models strut their stuff in the most eye-catching of ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. The authors reduce uncertainties in TAK-003 vaccine efficacy ...

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).

An electronic warfare (EW) team in a hide site deep in the woods notices a suspected enemy frequency. At the same time, an aerial EW platform using the same equipment finds the same signal. With both ...

Abstract: Accurately predicting pedestrian intentions is a critical task for enhancing pedestrian safety in intelligent transportation systems, particularly in 6G-driven complex dynamic urban ...

Critics of multilevel marketing businesses like Amway and Herbalife make bold claims. Bill Ackman, an institutional investment manager who tried to take down Herbalife, once said of the company, which ...