Results 241 to 250 of about 129,793 (292)

Synthesis and Magnetism of Co 2 III $_{2}^{III}$ Co 5 II $_{5}^{II}$ and Co 2 III $_{2}^{III}$ Co 6 II $_{6}^{II}$ Complexes, and the Role of the Free Choice of Local Coordinate Frames for Interpreting Magnetic Parameters

open access: yesEuropean Journal of Inorganic Chemistry, Volume 29, Issue 12, 24 April 2026.
In order to rationalise the magnetic properties of a newly synthesised Co2III$_{2}^{III}$Co6II$_{6}^{II}$ coordination cluster it was found essential to exploit the freedom to choose the local coordinate frames for describing the high‐spin CoII centres.
Joscha Nehrkorn   +5 more
wiley   +1 more source

Refining the role of selinexor in multiple myeloma: strategic use in a shifting treatment landscape. [PDF]

open access: yesESMO Open
Gay F   +39 more
europepmc   +1 more source

Spatiotemporal Maps for Dynamic MRI Reconstruction. [PDF]

open access: yesIEEE Trans Comput Imaging
Lobos RA   +8 more
europepmc   +1 more source

Surgical Explant of Degenerated Transcatheter Valves: A New Type of Threat? [PDF]

open access: yesInterdiscip Cardiovasc Thorac Surg
Verolino G   +6 more
europepmc   +1 more source

Prognostic Role of the Endothelial Activation and Stress Index (EASIX) in Functional Outcomes and Mortality After Acute Ischemic Stroke: A Retrospective Pilot Cohort Study. [PDF]

open access: yesJ Cardiovasc Dev Dis
Makris M   +9 more
europepmc   +1 more source

Impact of Basal Ganglia Perivascular Spaces on Ischemic and Hemorrhagic Risks in Patients Taking Antithrombotic Therapies. [PDF]

open access: yesNeurology
Iwamoto S   +17 more
europepmc   +1 more source

SSL-SVD

ACM Transactions on Internet Technology, 2020
Recommendation systems have been widely used in large e-commerce websites, but cold start and data sparsity seriously affect the accuracy of recommendation. To solve these problems, we propose SSL-SVD, which works to mine the sparse trust between users and improve the performance of the recommendation system.
Zhengdi Hu   +7 more
openaire   +1 more source

LWI-SVD

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014
Singular Value Decomposition (SVD) is computationally costly and therefore a naive implementation does not scale to the needs of scenarios where data evolves continuously. While there are various on-line analysis and incremental decomposition techniques, these may not accurately represent the data or may be slow for the needs of many applications.
Xilun Chen, K. Selcuk Candan
openaire   +1 more source

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