Results 71 to 80 of about 752,571 (301)
PCA of PCA: Principal Component Analysis of Partial Covering Absorption in NGC 1365 [PDF]
, 2014 We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components.
Fabian, A. C. +3 more
core +2 more sources
Molecular Oncology, EarlyView.CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar +4 more
wiley +1 more source
Estimation of Soil Organic Matter on Paddy Field using Remote Sensing Method
Sains Tanah: Journal of Soil Science and Agroclimatology, 2019 Soil organic matter (SOM) is one of the important parameters in agriculture management, thus estimating its distribution on the land will be essential. Remote sensing can be utilized to map the SOM distribution in the large-scale area.
Luthfan Nur Habibi +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy +12 more
wiley +1 more source
JOIV: International Journal on Informatics Visualization, 2019 Remote sensing data reveals a great importance for lithological mapping due to their spatial, spectral and radiometric characteristics. Lithological mapping using spatial data is a preliminary and important step to mineral mapping.
Amine Jellouli +4 more
doaj +1 more source
Semi-Supervised Kernel PCA [PDF]
, 2010 We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points.
Christian Walder +4 more
core +2 more sources
Streaming Probabilistic PCA for Missing Data with Heteroscedastic Noise [PDF]
arXiv, 2023 Streaming principal component analysis (PCA) is an integral tool in large-scale machine learning for rapidly estimating low-dimensional subspaces of very high dimensional and high arrival-rate data with missing entries and corrupting noise. However, modern trends increasingly combine data from a variety of sources, meaning they may exhibit ...
arxiv
Realizability Interpretation of PA by Iterated Limiting PCA [PDF]
Math. Struct. Comp. Sci. 24 (2014) e240603, 2013 For any partial combinatory algebra (PCA for short) A, the class of A-representable partial functions from N to A quotiented by the filter of cofinite sets of N, is a PCA such that the representable partial functions are exactly the limiting partial functions of A-representable partial functions(Akama, "Limiting partial combinatory algebras" Theoret ...
arxiv +1 more source
Molecular Oncology, EarlyView.Transient receptor potential melastatin‐4 (TRPM4) is overexpressed in prostate cancer (PCa). Knockout of TRPM4 resulted in reduced PCa tumor spheroid size and decreased PCa tumor spheroid outgrowth. In addition, lack of TRPM4 increased cell death in PCa tumor spheroids.
Florian Bochen +6 more
wiley +1 more source
Le fait du prince comme cause d’admission au régime de force majeure en droit minier congolais : notion, portée et implications [PDF]
Mouvements et Enjeux SociauxLa succession d’évènements tragiques au cours des XX et XXIe siècles a mis en évidence l’importance de la gestion des risques avec notamment des risques industriels, financiers, sociétaux (les soulèvements), sanitaires (pandémie de covid-19), ou encore ...
Patrick BONDONGA LESAMBO +1 more
doaj