In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

With a pioneering, comprehensive approach on a global scale, Brazilian researchers have developed a methodology that allows ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

STRI copy 39088014660302 purchased with funds from the S. Dillon Ripley Endowment. SERC copy 39088016914160 purchased with funds from the S. Dillon Ripley Endowment ...

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

Aim To identify subgroups of early rheumatoid arthritis (RA) based on comorbidities and RA manifestations and to investigate ...

Objective Because physician burnout negatively affects patients, organisations and those impacted, we aimed to identify and ...

Aim In the UK, pharmacological management of patients with heart failure (HF) occurs predominantly in general practice. Using ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Methods and analysis We plan to enrol 1000 day surgery patients. The primary outcome measure will be the recovery status at 1 month postoperatively, assessed using the Recovery Quality of Life ...

This big meta-analysis pooled 155 studies from 37 countries and found many more delusional themes than standard assessment ...