Models estimated patient’s lifetime risk of dying from nonmetastatic prostate cancer rather than other causes.

AI tools offer real added value for many users. With the right hardware, the tools can also be used offline without any ...

Article citations More>> Wang, Z., Li, M., Chen, J., & Liu, L. (2020) Source Identification of Pahs in Marine Sediments Using Diagnostic Ratios and PCA. Environmental Pollution, 262, Article 114199.

Without extra physical models, this method can adaptively simulate actual ac arc fault current signals in different application scenarios using a few measured data. Based on a set of standard ...

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to ...

Our approach enables robust long-term analysis of several hundreds of individual neurons, allowing quantification of neuronal dynamics and representational stability over time. Using this method, we ...

AI-enabled prediction of PCa using urine-based liquid biopsy demonstrates accurate, rapid, and accessible early cancer detection, with consistent performance across disease grades. This non-invasive ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization.

Program teaches Columbus students conflict resolution without violenceMore for You Maryland governor vetoes reparations bill US Massive Amphibious Vehicles Jump into Ship From Deep Water Two-time ...

Version 4.0.7030 Description When attempting to deploy a Python function app using Python 3.12, the deployment fails because the Azure Functions Core Tools uses distlib version 0.3.0, which imports ...

First, we extracted 64 indicators from the dataset, identified the most relevant indicators using the entropy weight method, and established a bank efficiency evaluation formula to determine the ...