Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Python is a widely-used programming language in various applications, including those developed using DevOps practices. However, the utilization of Python in DevOps presents security ...
Assessing the toxicity of food contaminants—including carcinogenic potential—is a major challenge in evaluating the risks associated with exposure. In recent years, as part of efforts to reduce animal ...
A microscopic model of the human liver to study the effects of different food contaminants. The spherical model, measuring 0.3 mm in diameter, includes the four cell types found in the human liver.
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