Datasets
The main data resource used in this work was the PDBbind (v.2020) database, containing 19,443 protein–ligand complexes from the Protein Data Bank (PDB) with experimentally measured binding affinities. This database is split into a…

The main data resource used in this work was the PDBbind (v.2020) database, containing 19,443 protein–ligand complexes from the Protein Data Bank (PDB) with experimentally measured binding affinities. This database is split into a…

Wang, H. et al. Scientific discovery in the age of artificial intelligence. Nature 620, 47–60 (2023).
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Kabir, M. M., Jim, J. R. & Istenes, Z. Terrain detection and segmentation…

This multicenter retrospective investigation was designed and conducted in strict accordance with the Declaration of Helsinki guidelines and received explicit approval from the institutional review boards of all…

With the aging of the population, the global incidence of dementia has been increasing annually, and an increasing body of evidence shows that vascular factors may be related to the progression of dementia. WMHs are considered white matter…

This section examines the capacity ratio between T/Y-nodes enhanced with plates and their unenhanced counterparts under compressive load. The analysis is conducted using three statistical tests (Table 5).

Healthcare regulation must adapt rapidly to the challenges posed by QC. Existing frameworks, such as the GDPR, NIS2, or MDR, impose requirements for data protection, device security, and infrastructure resilience, but were developed under…

T2I generation is the most emerging area of generative learning, enabling the model to produce images from the textual input. Various studies proposed methods for T2I generation using different approaches. This section examines the existing…

The key aspect in developing a fault-tolerant routing algorithm is the quality-of-service parameters taken into account to attain the shortest pathways. Typically, fault-tolerant algorithms employ restricted criteria to identify a dependable…

To ensure reliable object localization and environment perception in complex port scenarios, this study adopts LiDAR-based point cloud data rather than relying solely on RGB or thermal imaging. RGB cameras, though capable of capturing rich…

This study develops a novel TTOCDM-XAIRNN methodology. The main intention of the TTOCDM-XAIRNN methodology is to improve the detection and mitigation of cyber threats in dynamic environments. To attain that, the proposed TTOCDM-XAIRNN model…