Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.
Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
Pi-Labs CEO Ankush Tiwari explains how Authentify detects deepfakes at scale, defends AI models, and why India must build ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
The realm of discrete probability distributions might seem like navigating a complex labyrinth at first glance. However, understanding the fundamental principles that govern them can unlock a powerful ...
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