Data-driven regression analysis of amylose using Sombor molecular descriptors. [PDF]
Mufti ZS +4 more
europepmc +1 more source
Constructing and validating a prognostic prediction nomogram model for hepatocellular carcinoma patients following high-intensity focused ultrasound treatment. [PDF]
Huang H, Yang F, Liu P, Zhou K, Chen W.
europepmc +1 more source
Deep learning-based automatic segmentation and CT elastography radiomics for preoperative prediction of right recurrent laryngeal nerve lymph node metastasis in esophageal cancer. [PDF]
Ji C +9 more
europepmc +1 more source
Methodological Considerations for Quantile Aggregation in Alzheimer Disease Trials.
Flanders MD +4 more
europepmc +1 more source
MolFoundry: A Structure-Aware Generative Framework for De Novo Design of PRRSV Nucleocapsid Candidate Binders. [PDF]
Hao J, Jin W.
europepmc +1 more source
PruDensNet: a parameter efficient depthwise separable CNN for MRI-based brain tumor classification. [PDF]
Arman M +5 more
europepmc +1 more source
Spaces and sequences in the hippocampus: a homological perspective. [PDF]
Babichev A, Vashin V, Dabaghian Y.
europepmc +1 more source
Let \(\delta(G)\) and \(\chi(G)\) denote the minimum degree and chromatic number of the simple graph \(G\) respectively. Define \(\beta(G)=1+\max\{\delta(H)\}\) where \(H\) varies over all the induced subgraphs of \(G\). It is clear that \(\beta(G)\leq \chi(G)\) and \(G\) is said to be \(\beta\)-perfect if \(\beta(H)= \chi(H)\) for each induced ...
S. E. Markossian +2 more
openaire +3 more sources

