Results 61 to 70 of about 334,418 (265)

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Quantile sensitivity estimation for dependent sequences

open access: yesJournal of Applied Probability, 2016
AbstractIn this paper we estimate quantile sensitivities for dependent sequences via infinitesimal perturbation analysis, and prove asymptotic unbiasedness, weak consistency, and a central limit theorem for the estimators under some mild conditions.
Jiang, Guangxin, Fu, Michael C.
openaire   +2 more sources

Improved Method for Interleaving Parameter Estimation in a Non-Cooperative Context

open access: yesIEEE Access, 2019
In a non-cooperative context, a sequence acquired from remote sensing through satellites and aircraft can be recognized as an unknown sequence to a receiver who lacks the information of the transmission parameters.
Geunbae Kim, Mingyu Jang, Dongweon Yoon
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Estimation of the Last Mean of a Monotone Sequence

open access: yesThe Annals of Mathematical Statistics, 1970
Let \(X_1\), \(i= 1,2\), be independent normal random variables with means \(\theta_i\), and known variances. Without loss of generality we let the variance of \(X_1\) be \(\tau\) and the variance of \(X_2\) be \(1\). Assume \(X_2\ge X_1\), and consider the problem of estimating \(X_2\) with respect to a squared error loss function. Let \(\delta(X_2)\)
Cohen, Arthur, Sackrowitz, Harold B.
openaire   +3 more sources

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Channel estimation for time varying channel based on decision directed technique in OFDM mobile systems

open access: yesTongxin xuebao, 2006
A channel estimation method was proposed based on decision directed technique and pilot tracking for OFDM WLANS with mobile terminals. The result of training sequence based estimation was used as the initialization of decision directed technique.
CHEN Hui, CHEN Xiao-guang
doaj   +2 more sources

Attention-Based Sequence Learning Model for Travel Time Estimation

open access: yesIEEE Access, 2020
Travel time estimation (TTE) on a specific route is a challenging task since the complex road network structure and hard-captured temporal patterns. Many excellent methods have been proposed to address the aforementioned problems.
Zhong Wang   +3 more
doaj   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

open access: yesMolecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce   +11 more
wiley   +1 more source

Convolutional Gated Recurrent Unit–Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries

open access: yesIEEE Access, 2019
For most deep learning practitioners, recurrent networks are often used for sequence modeling. However, recent researches indicate that convolutional architectures may be used to optimize recurrent networks on some machine translation tasks.
Zhelin Huang   +4 more
doaj   +1 more source

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