Results 141 to 150 of about 2,555,341 (310)

Electron transfer between complexes III and IV in S. cerevisiae mitochondrial membranes

open access: yesFEBS Letters, EarlyView.
Mitochondrial oxidative phosphorylation in S. cerevisiae mitoplasts is limited by complex IV catalytic capacity, rather than two‐dimensional cytochrome c diffusion. At physiological cytochrome c : supercomplex ratios at salinity equivalent to that of 20 mm monovalent salt, activity is maximized, indicating that this low ionic strength accurately mimics
Ana Paula Lobez   +2 more
wiley   +1 more source

The influence function for the first component of the minimum pseudodistance estimator of the mean.

open access: yes, 2015
The influence function for the first component of the minimum pseudodistance estimator of the mean.
Aida Toma (814134)   +1 more
core   +1 more source

Short-term Precipitation Forecast Correction in Beijing-Tianjin-Hebei Region Based on Deep Learning

open access: yes应用气象学报
To enhance the quality of short-term precipitation forecast in Beijing-Tianjin-Hebei Region, a U-Net deep learning model is employed to correct short-term precipitation forecasts of 3-12 h based on the forecasting data of INCA (Integrated Nowcasting ...
Wang Yuhong   +6 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

Outliers In Discriminant Analysis (influence Function, Contaminant Observation, Divergence Value).

open access: yes, 1986
Outliers, from a subjective point of view, are observations which are discordant from the other remaining observations. The influence function is an appealing and intuitive qualitative method to evaluate the effect per observation on a statistic with a ...
Aliaga, Alfredo
core  

On optimal quadrature formulae

open access: yesJournal of Inequalities and Applications, 2000
A procedure to construct quadrature formulae which are exact for solutions of linear differential equations and are optimal in the sense of Sard is discussed. We give necessary and sufficient conditions under which such formulae do exist.
Lanzara Flavia
doaj  

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Influence Functions for Censored Data

open access: yesThe Annals of Statistics, 1981
In this paper influence curves for censored data estimators are considered. The influence curve of the Kaplan-Meier estimate of survival time is calculated, and it is shown that the influence curve provides an alternative derivation of the asymptotic variance of this estimate.
openaire   +3 more sources

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Model selection in kernel based regression using the influence function

open access: yes, 2008
: Recent results about the robustness of kernel methods involve the analysis of influence functions. By definition the influence function is closely related to leave-one-out criteria.
Debruyne, Michiel   +2 more
core  

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