Accurate assessment of substance use is essential in public health, clinical, and research settings. While self-reports are widely used, they are prone to biases such as social desirability and recall ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

“We are encouraged by the positive trends we see in PFS extension and higher ORR for 177 Lu-edotreotide compared to everolimus in these patient subgroups. These results strengthen the existing data ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...

Study data also showed prolonged progression-free survival with 177 Lu-edotreotide compared to everolimus across patient subgroups ...

After years and decades even of individual services being unable to share data at unclassified, classified, and secret levels, the long-standing goal of tearing down silo walls is at hand. In this ...