Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
BMJ Global Health

Prevalence, time trends and associated factors of adult overweight and obesity in 36 countries in the WHO African region from 2003 to 2022: a study of 54 WHO STEPS s…

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...
GitHub

Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models

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).
IEEE

Conflict Management for Multi-Level Models in Collaborative Modelling Environments

Abstract: Multi-level modelling supports multi abstraction levels and enhances reusability. Multi-view modelling enables customised view tailored to different stakeholders, thereby separating concerns ...
IEEE

Robust Model Predictive Control for Onboard Interleaved Multilevel Boost DC-DC Converter in DC Shipboard Microgrids

Abstract: DC shipboard microgrids (SMGs) are a low-carbon and feasible solution to host various distributed energy resources (DERs) and shipboard loads. However, the intermittency of DERs and constant ...
Scientific Research Publishing

Sophia, R.B. and Skrondal, A. (2012) Multilevel and Longitudinal Modelling Using Stata. 3rd Edition, Stata Press.

ABSTRACT: This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models ...