Results 31 to 40 of about 1,700 (74)

Label Distribution Learning [PDF]

open access: yesarXiv, 2014
Although multi-label learning can deal with many problems with label ambiguity, it does not fit some real applications well where the overall distribution of the importance of the labels matters. This paper proposes a novel learning paradigm named \emph{label distribution learning} (LDL) for such kind of applications.
arxiv  

The giant low-density lipoproteins (LDL) accumulation in the multi-layer artery wall model [PDF]

open access: yesarXiv, 2014
The mathematical, four-layer model of the LDL transport across the arterial wall including the sensitivity of the transport coefficients to the wall shear stress (WSS) is studied. In that model the advection-diffusion equations in porous media are used to determine the LDL concentration profiles in each layer of the arterial wall.
arxiv  

Structure and dynamics of dynorphin peptide and its receptor [PDF]

open access: yesarXiv, 2019
Dynorphin is a neuropeptide involved in pain, addiction and mood regulation. It exerts its activity by binding to the kappa opioid receptor (KOP) which belongs to the large family of G-protein coupled receptors. The dynorphin peptide was discovered in 1975, while its receptor was cloned in 1993.
arxiv  

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance [PDF]

open access: yesarXiv
Label Distribution Learning (LDL) is a novel machine learning paradigm that addresses the problem of label ambiguity and has found widespread applications. Obtaining complete label distributions in real-world scenarios is challenging, which has led to the emergence of Incomplete Label Distribution Learning (InLDL).
arxiv  

Incremental Label Distribution Learning with Scalable Graph Convolutional Networks [PDF]

open access: yesarXiv
Label Distribution Learning (LDL) is an effective approach for handling label ambiguity, as it can analyze all labels at once and indicate the extent to which each label describes a given sample. Most existing LDL methods consider the number of labels to be static.
arxiv  

LDL receptor traffic: in the fast lane [PDF]

open access: yesEuropean Heart Journal, 2019
Graciela E. Delgado   +4 more
openaire   +2 more sources

A novel oxidized LDL receptor

open access: yesJapanese Journal of Pharmacology, 1998
Tomoh Masaki, Tatsuya Sawamura
openaire   +2 more sources

Lowering LDL cholesterol, but not raising LDL receptor activity, by ezetimibe [PDF]

open access: possibleJournal of Clinical Lipidology, 2013
Ezetimibe, an inhibitor of intestinal cholesterol absorption, is effective in lowering serum low-density lipoprotein (LDL) cholesterol with or without coadministration of statin. Ezetimibe-plus-statin therapy enhances LDL receptor activity, but it is still unclear whether ezetimibe alone enhances LDL receptor activity, resulting in LDL cholesterol ...
Mitsunobu Kawamura, Hiroshi Hayashi
openaire   +2 more sources

LDL Receptor's β-Propeller Displaces LDL [PDF]

open access: possibleScience, 2002
The low density lipoprotein receptor (LDLR) binds to lipoprotein extracellularly and releases it in the endosome. In his Perspective, Innerarity discusses new structural work (Rudenkoet al.) that shows that an interdomain interaction that occurs at low pH likely displaces ligand from the receptor in the endosome.
openaire   +1 more source

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