How to Use Market Research to Make Decisions

Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I ...
JSTOR Daily

Reading guided by automated graphical representations: How model-based text visualizations facilitate learning in reading comprehension tasks

Pablo Pirnay-Dummer, Dirk Ifenthaler, Reading guided by automated graphical representations: How model-based text visualizations facilitate learning in reading comprehension tasks, Instructional ...
Risk

Probabilistic classification with discriminative and generative models: credit-scoring application

This study investigates the potential of probabilistic classification to enhance credit-scoring accuracy, with a focus on model validation through reliability thresholds. By quantifying prediction ...
EurekAlert!

Exploring a novel approach for improving generative AI models

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
The BMJ

Use of new CORE risk score to predict 10 year risk of liver cirrhosis in general population: population based cohort study

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...
eLife

Neural Representation of Associative Threat Learning in Pulvinar Divisions, Lateral Geniculate Nucleus, and Mediodorsal Thalamus in Humans

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
eLife

Peer reviewers altered their recommendation based on whether they were cited or wanted to be cited. A matched study of open peer review at four journals

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...
C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...