Results 41 to 50 of about 1,555,303 (287)

Tau acetylation at K331 has limited impact on tau pathology in vivo

open access: yesFEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto   +3 more
wiley   +1 more source

Number-Phase Wigner Representation for Efficient Stochastic Simulations

open access: yes, 2009
Phase-space representations based on coherent states (P, Q, Wigner) have been successful in the creation of stochastic differential equations (SDEs) for the efficient stochastic simulation of high dimensional quantum systems.
A. R. R. Carvalho   +7 more
core   +1 more source

Robust Model-based Inference for Non-Probability Samples

open access: yes, 2022
With the ubiquitous availability of unstructured data, growing attention is paid as how to adjust for selection bias in such non-probability samples. The majority of the robust estimators proposed by prior literature are either fully or partially design-based, which may lead to inefficient estimates if outlying (pseudo-)weights are present. In addition,
Rafei, Ali   +2 more
openaire   +2 more sources

Kernel Weighting for blending probability and non-probability survey samples

open access: yesSORT, 2023
In this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators that can be obtained using only the probability sample. We propose a new methodology based on the kernel weighting method.
Rueda, María del Mar   +4 more
openaire   +6 more sources

Cis‐regulatory and long noncoding RNA alterations in breast cancer – current insights, biomarker utility, and the critical need for functional validation

open access: yesMolecular Oncology, EarlyView.
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués   +3 more
wiley   +1 more source

Computational phase transition signature in Gibbs sampling

open access: yesJournal of Physics: Complexity, 2023
Gibbs sampling is fundamental to a wide range of computer algorithms. Such algorithms are set to be replaced by physics based processors—be it quantum or stochastic annealing devices—which embed problem instances and evolve a physical system into a low ...
Hariphan Philathong   +3 more
doaj   +1 more source

Joining Forces of Bayesian and Frequentist Methodology: A Study for Inference in the Presence of Non-Identifiability

open access: yes, 2012
Increasingly complex applications involve large datasets in combination with non-linear and high dimensional mathematical models. In this context, statistical inference is a challenging issue that calls for pragmatic approaches that take advantage of ...
Box GEP   +4 more
core   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

open access: yesMolecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla   +10 more
wiley   +1 more source

Generalized-ensemble Monte carlo method for systems with rough energy landscape

open access: yes, 1997
We present a novel Monte Carlo algorithm which enhances equilibrization of low-temperature simulations and allows sampling of configurations over a large range of energies.
A. M. Ferrenberg   +20 more
core   +1 more source

Methods for sampling and inference with non-probability samples

open access: yes, 2021
Non-probability samples are a topic of growing relevance in academic and applied research as well as national statistical institutes. This deliverable discusses the major statistical challenges that arise when using non-probability samples, as well as methodological advances for improving the reliability of results and conclusions that are obtained ...
Lenau, Simon   +7 more
openaire   +1 more source

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