Results 51 to 60 of about 82,300 (309)

Representing Microphysical Uncertainty in Convective‐Scale Data Assimilation Using Additive Noise

Journal of Advances in Modeling Earth Systems, 2021
For convective clouds and precipitation, model uncertainty in cloud microphysics is considered one of the most significant sources of model error. In this study, samples for model microphysical uncertainty are obtained by calculating the differences ...
Yuxuan Feng, Tijana Janjić, Yuefei Zeng, Axel Seifert, Jinzhong Min   +4 more
doaj   +1 more source

Identification of Fractional Models of an Induction Motor with Errors in Variables

Fractal and Fractional, 2023
The skin effect in modeling an induction motor can be described by fractional differential equations. The existing methods for identifying the parameters of an induction motor with a rotor skin effect suggest the presence of errors only in the output ...
Dmitriy Ivanov
doaj   +1 more source

Effects of additive sensory noise on cognition

Frontiers in Human Neuroscience, 2023
BackgroundAdding noise to a system to improve a weak signal’s throughput is known as stochastic resonance (SR). SR has been shown to improve sensory perception. Some limited research shows noise can also improve higher order processing, such as working memory, but it is unknown whether SR can broadly improve cognition.ObjectiveWe investigated cognitive
Sage O. Sherman, Maya Greenstein, Mathias Basner, Torin K. Clark, Allison P. Anderson   +4 more
openaire   +3 more sources

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays

BMC Bioinformatics, 2004
Background Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normalization methods rely on the premise that most genes in compared samples are ...
Tang Yuhong, Knowlton Nicholas, Dozmorov Igor, Centola Michael   +3 more
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Cauchy Problem for Stochastic Nonlinear Schrödinger Equation with Nonlinear Energy-Critical Damping

Mathematics
We consider the Cauchy problem for the stochastic nonlinear Schrödinger equation augmented by nonlinear energy-critical damping term arising in nonlinear optics and quantum field theory.
Lijun Miao, Linlin Qiu
doaj   +1 more source

The impact of internal noise on the performance of convolutional neural network [PDF]

Известия высших учебных заведений: Прикладная нелинейная динамика
Purpose. This study aims to establish the characteristics of noise propagation and accumulation in convolutional neural networks. The article investigates how the accuracy of a trained convolutional network varies depending on the type and intensity of ...
Semenova, Nadezhda Igorevna
doaj   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

Noise compensation for speech recognition with arbitrary additive noise

IEEE Transactions on Audio, Speech and Language Processing, 2004
A new method for noise compensation for additive background noise based only on clean speech training data is described, assuming arbitrary noise characteristics. Experiments on Aurora 2 indicate that the new method has achieved a performance comparable to, or better than, the performance obtained by the baseline model trained on multi-condition data.
openaire   +2 more sources