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Abstract: Nonlinear causal discovery with high-dimensional data where each variable is multidimensional plays a significant role in many scientific disciplines, such as social network analysis.

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

Abstract: We present a novel application of continuum robots acting as concrete hoses to support 3D printing of cementitious materials. An industrial concrete hose was fitted with a cable harness and ...

If you're printing something with multiple pages, you might want to collate. It's the term for when the printer cranks out the pages of your print-out in order so that each printed copy comes out as a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Cybersecurity researchers have discovered two new malicious packages in the Python Package Index (PyPI) repository that are designed to deliver a remote access trojan called SilentSync on Windows ...

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.