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, ...
A clear explanation of Python’s method binding rules—how the descriptor protocol governs attribute access, and why calling an undecorated method via the class (e.g., ClassName.method(arg1, arg2)) does ...
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: ...
Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Abstract: Nowadays, dynamic eccentricity (DE) diagnosis methods for permanent magnet motors (PMMs) face difficulties in constructing diagnostic functions and extracting features under variable-speed ...
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