A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

A study by the Center for Redox Processes in Biomedicine (Redoxoma) led by Marilene Demasi from the Butantan Institute (São Paulo, Brazil) presents a valuable new experimental model for investigating ...

In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes a threshold (R0). Fuzzy RD estimates are obtained via a procedure analogous to ...

LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership.

Hernandez, R. , Garcia, A. and Guerra, F. (2025) Factors Influencing Graduate Student Success on the Texas Principal Exam in a Predominately Hispanic University. Open Journal of Social Sciences, 13, ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Researchers conducted a retrospective study to compare the predictive performance of traditional intraocular lens (IOL) power calculation formulas (e.g., SRK/T, Haigis, Hoffer Q, Holladay I) with ...