BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...

Data from five Olympic seasons shows how February breaks affect NHL scoring, with Olympians and non-Olympians impacted differently late in the year. We did in-depth research to find out which teams ...

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

Learn how to build a standard deviation function in VPython with this step-by-step web tutorial! Perfect for coding, data analysis, and physics simulations. #VPython #PythonTutorial #StandardDeviation ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

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If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...