Results 31 to 40 of about 451,682 (258)

A Probabilistic Method-Based Smartphone GNSS Fault Detection and Exclusion System Utilizing PDR Step Length

open access: yesRemote Sensing, 2023
A smartphone equipped with a Global Navigation Satellite System (GNSS) module can generate positional information for location-based services. However, GNSS signals are susceptible to fragility, multipath (MP), and Non-Line-Of-Sight (NLOS) interference ...
Changhui Jiang   +5 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Range Unit Root (RUR) Tests: Robust against Nonlinearities, Error Distributions, Structural Breaks and Outliers [PDF]

open access: yes, 2006
Since the seminal paper by Dickey and Fuller in 1979, unit-root tests have conditioned the standard approaches to analysing time series with strong serial dependence in mean behaviour, the focus being placed on the detection of eventual unit roots in an ...
Sipols, Ana E.   +2 more
core   +1 more source

Structural and biochemical analysis of a B12 superbinder

open access: yesFEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices   +3 more
wiley   +1 more source

Interpolation, outliers and inverse autocorrelations [PDF]

open access: yes, 1990
The paper addresses the problem of estimating missing observations in linear, possibly nonstationary, stochastic processes when the model is known. The general case of any possible distribution of missing observations in the time series is considered ...
Maravall, Agustín, Peña, Daniel
core   +1 more source

Bootstrap Confidence Intervals for 11 Robust Correlations in the Presence of Outliers and Leverage Observations

open access: yesMethodology, 2022
Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s correlation (r) is a widely-employed statistic for assessing bivariate linearity.
Johnson Ching-Hong Li
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

The KPSS test with outliers [PDF]

open access: yes, 2003
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outliers induce spurious stationarity by lowering the power of these tests.
Smith, Jeremy, Otero, Jesus
core  

Sensing Accuracy Enhancement of Phase-Sensitive Optical Frequency Domain Reflectometry Using Hybrid Hampel-Median Filter

open access: yesIEEE Photonics Journal
We propose a novel filter scheme to enhance the sensing accuracy of phase-sensitive optical frequency domain reflectometer (Φ-OFDR) while maintaining high spatial resolution via cascading Hampel filter and median filter.
Yiheng Cheng   +7 more
doaj   +1 more source

Graph Neural Networks for Modeling Causality in International Trade

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
Neural network algorithms have proven successful for accurate classifications in many domains such as image recognition and semantic parsing. However, they have long suffered from the lack of ability to measure causality, predict outliers effectively, or
Anderson Monken   +4 more
doaj   +1 more source

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