A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration ...

The Ph.D. program at Gallaudet University prepares scholars and practitioners to lead in the design, development, and ...

Purpose. To determine how digital transformation (DT) generates competitive advantage in Zimbabwean SMEs—using a desk-based evidence synthesis (SLR) interpreted through Resource-Based View and Dynamic ...

Association of paleopalynological data from the Nanxiong Basin, south China, and late Paleocene niche expansion in endemic Asian fossil mammals.

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

The pervasive issue of unsustainable consumption demands advanced analytical tools to predict and mitigate its environmental ...

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of eating disorders (EDs) remains less understood. This study examined ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

S&P 500's forward 10-year returns are often misrepresented as tightly & negatively correlated with trailing P/E ratios. Read more on SP500 stock here.