Results 81 to 90 of about 34,540 (263)
Consistent Estimation of a Mixing Distribution
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Cell wall target fragment discovery using a low‐cost, minimal fragment library
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Mixed membership estimation for social networks
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Jin, Jiashun +2 more
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Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson +7 more
wiley +1 more source
On the Estimation of Mixing Distributions
Let $\mathscr{F} = \{F(x; y), y \varepsilon E\}$ be a family of cumulative distribution functions (cdf's) in the variable $x$ indexed by $y \varepsilon E$, where $E$ is a measurable subset of the real line. Assume that $F(x; y)$ is measurable in $y$ for all $x$.
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We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Nonparametric Density Estimation in a Mixed Model Using Wavelets
This paper investigates nonparametric estimations of a density function within a mixed density model. A linear wavelet density estimator and an adaptive nonlinear wavelet estimator are proposed using wavelet method and hard thresholding algorithm.
Dan Liang, Junke Kou
doaj +1 more source
Multiple Estimation Architecture in Discrete-Time Adaptive Mixing Control
Adaptive mixing control (AMC) is a recently developed control scheme for uncertain plants, where the control action coming from a bank of precomputed controller is mixed based on the parameter estimates generated by an on-line parameter estimator.
Simone Baldi
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Drift Estimation Under Strong Mixing
It is shown that a kernel-type estimate for the drift function is pointwise as well as uniformly strongly consistent, under strong mixing condition.
Arfi, Mounir, Lecoutre, Jean-Pierre
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