Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
The Generalized Finite Element Method (GFEM) can be viewed as an extension of the Finite Element Method (FEM) where the approximation space is enriched by shape functions appropriately chosen. Many ...
Abstract: An efficient iterative solver is proposed for the linear matrix equation that arises in the analysis of large scattering problems by the frequency-domain finite-element method. A Krylov ...
Configure blocks are used inside the Job DSL to give direct access to underlying XML of the Jenkins config.xml. The blocks are closures which get a groovy.util.Node passed in. The XML element ...
PyPSA stands for Python for Power System Analysis. It is pronounced pipes-ah. PyPSA is an open-source Python framework for optimising and simulating modern power and energy systems that include ...
In this study, we characterized the immune responses to the tattoo ink accumulating in the lymph nodes (LNs). This is very relevant as tattoo ink commonly reaches and persists in this organ in most ...
aDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China bClinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China ...
Key nodes are similar to important hubs in a network structure, which can directly determine the robustness and stability of the network. By effectively identifying and protecting these critical nodes ...
Phase I and Randomized Phase II Study of Ruxolitinib With Frontline Neoadjuvant Therapy in Advanced Ovarian Cancer: An NRG Oncology Group Study Adult female BCS exposed to ≥4 cycles of adjuvant ...
Abstract: The estimation of the nodal admittance matrix is an important problem for the power grid operation and computing tasks. Some studies have shown that the admittance matrix can be fuzzily ...
In this work we propose a machine learning (ML) method to aid in the diagnosis of schizophrenia using electroencephalograms (EEGs) as input data. The computational algorithm not only yields a proposal ...
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