Results 91 to 100 of about 17,207,506 (302)

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

open access: yesFEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav   +2 more
wiley   +1 more source

A SPLINE MODEL FOR ELECTRICITY DEMAND FORESCASTING UN MODELO SPLINE PARA EL PRONÓSTICO DE LA DEMANDA DE ENERGÍA ELÉCTRICA

open access: yesRevista Colombiana de Estadística, 2007
Our goal is to model, with forecasting aims, the daily electricity demand in a southeast colombian region through a non-parametric regression model implementation. We consider some “calendar variables” such as time of the day, day of the week, month, and
Barrientos Andrés Felipe   +2 more
doaj  

Predictive Interval Models for Non-parametric Regression

open access: yesCoRR, 2014
Having a regression model, we are interested in finding two-sided intervals that are guaranteed to contain at least a desired proportion of the conditional distribution of the response variable given a specific combination of predictors. We name such intervals predictive intervals.
Hamed, Mohammad Ghasemi   +2 more
openaire   +3 more sources

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

open access: yes
Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun   +2 more
core  

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Multivariate Interval-Censored Survival Data: Parametric, Semi-parametric and Non-parametric Models

open access: yes, 2014
Interval censoring means that an event time is only known to lie in an interval (L,R], with L the last examination time before the event, and R the first after.
Philip Hougaard, Hougaard, Philip
core   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

open access: yesFEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge   +6 more
wiley   +1 more source

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

open access: yesAgriculture
Research investigating models for assessing new tractor pricing is notably scarce, despite its fundamental importance in conducting comprehensive cost analyses.
Ivan Herranz-Matey, Luis Ruiz-Garcia
doaj   +1 more source

A non-parametric hidden Markov model for climate state identification [PDF]

open access: yesHydrology and Earth System Sciences, 2003
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assumptions for the state conditional distributions.
M. F. Lambert   +3 more
doaj  

Correlated Non-Parametric Latent Feature Models

open access: yesCoRR, 2012
Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009)
Finale Doshi-Velez, Zoubin Ghahramani
openaire   +3 more sources

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