Monitoring mean arterial pressure (MAP) is essential for ensuring safe general anesthesia. Current practices rely either on non-invasive cuff measurements, which suffer from poor temporal resolution, ...

Regression models like XGBoost or LightGBM can predict upcoming KPI values using features like current RSSI, CQI, time-of-day, and network alarms. 2.3 LSTM Networks for Deep Forecasting Long ...

Given that most informative chromatin contacts occur within a limited genomic distance (typically within 2 Mb), BandHiC adopts a banded storage scheme that stores only a configurable diagonal ...

This package provides a Python decorator to save on disk and reuse the results of functions that are long to execute. This can be referred to as persistent memoization. The result of a decorated ...

If you don't feel like reading right now, you can also listen to an audio summary of the article made by NotebookLM. Picture this: You're opening a Jupyter notebook you created three months ago. As ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

Have you ever thought about how your brain works when you study? Knowing this may improve your ability to retain and recall information. There are three main memory structures: sensory, working and ...

Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural ...