Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...

Avantis US Small Cap Value ETF stands to benefit from a factor shift. AVUV offers a compelling risk-reward profile with a ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

It’s obvious one of the major problems of the 2025 Detroit Lions was their defense. On a weekly basis, the Lions were giving ...

Guillermo Del Toro’s Frankenstein is now out on Netflix, with the monster (played by Jacob Elordi) shown to be far more human than his titular creator. The ending of the Netflix film differs from both ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...