Despite ongoing developments in head injury protocols, rugby union still faces challenges in achieving accurate, rapid and ...

The authors present an approach that uses the transformer architecture to model epistasis in deep mutational scanning datasets. This is an original and very interesting idea. Applying the approach to ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: This paper proposes a new method to construct a strong Lyapunov function starting from a weak Lyapunov function. Using a modified Taylor series expansion that involves higher order ...

In the Full Stack > JavaScript > Higher Order Functions and Callbacks > Build a Library Manager workshop, Step 4 says: Start by displaying all the books. Create a displayBooks function with a ...

In the dynamics of network framework, the dynamics take place on the nodes, as depicted in the Figure by the variables u and v, while the interactions between the dynamical units are modeled via the ...

A new way of mapping activity and connections between different regions of the brain has revealed fresh insights into how higher order functions like language, thought and attention, are organized. A ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...