AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

A new comprehensive analysis published in the journal Addictive Behaviors suggests that Internet Gaming Disorder is a ...

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...

A statewide evaluation found that California schools receiving TUPE funding delivered more antitobacco education and ...

The study identifies age, education, and smoking as critical factors in high-risk drinking among workers, emphasizing the ...

Data is from comprehensive review of hospital charges and all-payer claims over five years - - Preventable complications such as amputation and conduit infection increased initial hospital charges by ...

Simon Kim has spent the past decade redefining what Korean cuisine can be on the global stage. As the restaurateur behind ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

Academic institutions face unprecedented complexity from technological change, evolving funding models, diverse stakeholder demands and pressure to demonstrate societal impact. Traditional strategic ...

Second Brain apps are a potential productivity trap if you try to force them into your workflow without understanding their ...

Ecological modelling is the construction and analysis of mathematical models of ecological processes, including both purely biological and combined biophysical models. Models can be analytic or ...

Introduction Gestational weight gain (GWG) is an important indicator of maternal nutrition to be monitored during pregnancy. However, there is no evidence-based tool that can be used to monitor it ...