Abstract: Deep learning-based methods for drug target binding affinity (DTA) prediction are improving the efficien cy of drug screening, but some limitations persist in current methodologies. Notably, ...

The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...

GraalVM version: GraalVM CE 25+37.1 (build 25+37-jvmci-b01) JDK version: openjdk 25 2025-09-16 OS and OS Version: WSL Ubuntu 22.04.4 LTS Architecture: amd64 The output of java -Xinternalversion: ...

Abstract: The chord reference method (CRM) is a well-established approach employed in railway maintenance for identifying and quantifying track irregularity. However, the static CRM is characterized ...

In this work, we benchmark the accuracy of the density-functional tight-binding (DFTB) method, namely the long-range corrected second-order (LC-DFTB2) and third-order (DFTB3) models, for predicting ...

ABSTRACT: The objective of this study is to analyze the impact of energy consumption and competitiveness on countries’ participation in global value chains (GVCs). The two-stage dynamic panel method ...

Our codebase contains legacy method binding patterns that add unnecessary complexity. These patterns, likely originating from Java development practices, include method delegation and explicit ...

Translation of the genetic code into proteins by ribosomes is essential for life. Due to the risk of protein misfolding, ribosomes require assistance from cotranslational processing factors, but how ...

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