De novo protein design is of fundamental interest to synthetic biology, with a plethora of computational methods of various degrees of generality developed in recent years. Here, we introduce ...

Time-dependent prediction model using modified DeepSurv algorithm for dynamic risk assessment of post-operative bone metastases in breast cancer.

The effective methodology for predicting the mechanical properties of polymorphic forms of crystals was proposed. It consists of combining static and dynamic approaches. The first one is based on the ...

We propose GenDP, a general-purpose acceleration framework for dynamic programming algorithms. We design DPAx, an accelerator with programmable compute units, specialized dataflow, and flexible ...

Aiming at the problem of “dimension explosion” in solving real-time cooperative voltage regulation models of distribution networks using dynamic programming methods, this study proposes an ADP-based ...

ConspectusIn this Account, we present a comprehensive overview of recent advancements in applying data-driven combinatorial design for developing novel high-energy-density materials. Initially, we ...

The proposed model and algorithm are validated using the IEEE-118 and IEEE-300 test cases, demonstrating their effectiveness in handling dynamic transmission line capacities and improving scheduling ...

Dynamic programming is one of the most challenging algorithm design techniques for computer programmers. Students frequently struggle with dynamic programming algorithms in Data Structures and ...

High Reliability Software Applications that require high reliability are often require high levels of safety such as cars and planes. Programming languages like Ada, SPARK and Rust are designed to ...