A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

While catastrophic safety failures must never be tolerated, meaningful firearms training for law enforcement often happens ...

A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

The latest addition to the field of document-scanning tools just goes to show how far ultra-selective advisory practices – ...

In a Penn State lab, a small cylinder of soil sits wired with sensors, slowly cooling as it mimics conditions thousands of ...

Abstract: Class-incremental learning (CIL) with the broad learning system (BLS) has emerged as a computationally efficient alternative to deep incremental models. However, existing BLS-based CIL ...

Burns & McDonnell, Jacobs, WSP, HPE Sustainable Data Center Modernization, Woolpert, Kimley-Horn, Olsson, and EXP head Building Design+Construction's ranking of the ...

Abstract: The mapping of T-cell-receptors (TCRs) to their cognate peptides is crucial to improving cancer immunotherapy. Numerous computational methods and machine learning tools have been proposed to ...

The SDDS (Self Describing Data Sets) Library is a C/C++ library designed for handling structured scientific data efficiently. It provides a flexible data format and a set of utilities for writing, ...