Psychology Today

Structure That Sustains but Then Constrains Must Be Broken

Structure can help provide stability, but to be constant and present within your life across time requires continual change.
C&EN

Modular syntheses: Putting function first

And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

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.
eLife

Deciphering interferon functions in avian influenza using receptor knockout models in the natural host

Interferon receptor knockout chickens uncover how type I and III interferons differentially shape avian antiviral immunity and influenza disease outcomes.
IEEE

TCR-pMHC Binding Specificity Prediction From Structure Using Graph Neural Networks

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 ...
IEEE

Gaussian-Cauchy Mixture Kernel Function Based Maximum Correntropy Criterion Kalman Filter for Linear Non-Gaussian Systems

Abstract: This paper proposes a Gaussian-Cauchy mixture maximum correntropy criterion Kalman filter algorithm (GCM_MCCKF) for robust state estimation in linear systems under non-Gaussian noise, ...