The elimination of the latent viral reservoir remains the main barrier in the quest for a cure for people with HIV (PWH). The administration of latency reversal agents (LRA) at antiretroviral ...

Univariate Birnbaum-Saunders models have been widely applied to fatigue studies. Calculation of fatigue life is of great importance in determining the reliability of materials. We propose and derive ...

Plasma proteomics reveals that the biological ages of key organs, especially the brain and immune system, strongly predict ...

If you pull twice as hard on a spring, it stretches twice as far. However, when we introduce very large forces or complicated ...

Causal AI adapts in real time, learning from every shift. Here’s why it outperforms static models when the market won’t sit ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

The study of the inversion of multivariable linear time varying systems modelled by bond-graph is proposed in this paper. An analysis method based on non-commutative differential algebra concepts is ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!