Results 61 to 70 of about 333,801 (297)
Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Uncertainty components in profile likelihood fits
European Physical Journal C: Particles and FieldsWhen a measurement of a physical quantity is reported, the total uncertainty is usually decomposed into statistical and systematic uncertainties. This decomposition is not only useful for understanding the contributions to the total uncertainty, but is ...
Andrés Pinto +7 more
doaj +1 more source
SCYNet: testing supersymmetric models at the LHC with neural networks
European Physical Journal C: Particles and Fields, 2017 SCYNet (SUSY Calculating Yield Net) is a tool for testing supersymmetric models against LHC data. It uses neural network regression for a fast evaluation of the profile likelihood ratio.
Philip Bechtle +8 more
doaj +1 more source
Profiles of depressive symptoms and influential factors among people living with HIV in China
BMC Public Health, 2023 Background Depressive symptoms are highly prevalent among people living with HIV (PLWH). We leveraged Latent Profile Analysis (LPA) to identify profiles of depressive symptoms among PLWHs.
Dongfang Wang +6 more
doaj +1 more source
Profile Likelihood and Conditionally Parametric Models
The Annals of Statistics, 1992 The authors outline a general approach to estimating the parametric component of a semiparametric model. For the case of a scalar parametric component the method is based on the idea of first estimating a one- dimensional subproblem of the original problem that is least favorable in the sense of \textit{C. Stein} [Proc. Third Berkeley Sympos.
Severini, Thomas A., Wong, Wing Hung
openaire +3 more sources
, 2013 The grey line shows the log profile likelihood for R when selection is assumed to be uniform spatially (GNS = GEW = 0). The MLE of R in this case is 2.77 × 105 with a log-likelihood of −263.0.
Montgomery Slatkin (11467) +2 more
core +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance
Journal of Applied Mathematics, 2014 This paper proposes a profile empirical likelihood for the partial parameters in ARMA(p,q) models with infinite variance. We introduce a smoothed empirical log-likelihood ratio statistic. Also, the paper proves a nonparametric version of Wilks’s theorem.
Jinyu Li, Wei Liang, Shuyuan He
doaj +1 more source
The Broad Optimality of Profile Maximum Likelihood
CoRR, 2019 We study three fundamental statistical-learning problems: distribution estimation, property estimation, and property testing. We establish the profile maximum likelihood (PML) estimator as the first unified sample-optimal approach to a wide range of learning tasks.
Yi Hao, Alon Orlitsky
openaire +3 more sources