As the biochemical basis of asthma is not yet fully understood, researchers from The Catholic University of Korea, the Korea University College of Medicine, and Seoul National University (all in Seoul ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
A novel nanozyme aptasensor array achieves 100 % accuracy in classifying Staphylococcus aureus strains, enhancing rapid ...
Morning Overview on MSN
Astronomers just exposed the hidden skeleton of the universe
A series of recent observations is bringing the large-scale dark matter scaffolding of the cosmos into sharper observational focus, using techniques that range from gravitational lensing to radio ...
Introduction Community support for individuals with mental health problems is a global public health issue. Poor mental health literacy and high levels of stigmatising attitudes among the general ...
Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.
Introduction: Polycystic ovary syndrome (PCOS) is a common, but clinically heterogeneous, condition. This study explores PCOS subtypes using two orthogonal statistical analyses of biochemical and ...
Patients with heart failure and reduced ejection fraction (HFrEF) have a high residual risk for heart failure hospitalizations and cardiovascular death. We aimed to use multimodality data to identify ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Exposure to air pollution plays a significant role in human health. Current methods of ...
This project applies hierarchical clustering to group local authorities in England based on case closure reasons from the Children in Need Census (2013–2024). It supports benchmarking, policy ...
Abstract: Hierarchical density based spatial clustering is a state-of-the-art clustering algorithm that is widely used by the research community for the analysis of spatial data. This popularity is in ...
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