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How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...
GitHub

[BUG]: Data race when using static variables with free-threaded Python

I get multiple kinds of errors when accessing Foo.Bar from multiple threads, from segmentation faults to "pybind11_object_dealloc(): Tried to deallocate unregistered instance!" exceptions. Further ...
BMJ

Forecasting disease trajectories in critical illness: comparison of probabilistic dynamic systems to static models to predict patient status in the intensive care unit

Objective Conventional prediction models fail to integrate the constantly evolving nature of critical illness. Alternative modelling approaches to study dynamic changes in critical illness progression ...
Frontiers

A time-course prediction model of global COVID-19 mortality

Introduction: The COVID-19 pandemic has caused over 6 million deaths worldwide and is a significant cause of mortality. Mortality dynamics vary significantly by country due to pathogen, host, social ...
UroToday

Role of clinicopathological variables in predicting recurrence and survival outcomes after surgery for non-metastatic renal cell carcinoma: Systematic review and meta-analysis.

Renal cell carcinoma (RCC) represents 2% of all diagnosed malignancies worldwide, with disease recurrence affecting 20% to 40% of patients. Existing prognostic recurrence models based on ...
Scientific Research Publishing

Schonung, A. and Stemmler, H. (1964) Static Frequency Changers with “Subharmonic” Control in Conjunction with Reversible Variable-Speed AC Drives. Broww Boveri Reoiew, 51 ...

ABSTRACT: A large amount of switching loss occurs in the inverter. From this point of view, an inverter design should be optimized for which size and cost will be minimum along with increasing ...