Results 71 to 80 of about 7,858,197 (288)

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

Random Noise Suppression of Magnetic Resonance Sounding Oscillating Signal by Combining Empirical Mode Decomposition and Time-Frequency Peak Filtering

open access: yesIEEE Access, 2019
Magnetic resonance sounding (MRS) signals are always corrupted by random noise. Although time-frequency peak filtering (TFPF) has been proven to be an effective method to suppress the random noise, it shows shortcomings when processing the oscillating ...
Tingting Lin   +2 more
doaj   +1 more source

An order insensitive optimal generalised sequential fusion estimation for stochastic uncertain multi‐sensor systems with correlated noise

open access: yesIET Signal Processing, 2023
The globally optimal generalised sequential fusion (GSF) algorithm in the sense of linear minimum variance for multi‐sensor stochastic uncertain systems is investigated by the authors.
Dejin Wang, Zhongxin Liu, Zengqiang Chen
doaj   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri   +7 more
wiley   +1 more source

Numerical Algorithms for Acoustic Wave Propagation in Pipelines via a Class of Stochastic Partial Differential Systems

open access: yesMathematics
A class of partial differential equations with random noise is employed to model the pipe acoustic system. A high-precision compact differential scheme is constructed for its solution. To ensure numerical stability, a buffer layer technique is applied to
Xinrong Cong, Longsuo Li, Shuxia Zhang
doaj   +1 more source

Clutter Elimination and Random-Noise Denoising of GPR Signals Using an SVD Method Based on the Hankel Matrix in the Local Frequency Domain

open access: yesSensors, 2018
Ground-penetrating radar (GPR) is a kind of high-frequency electromagnetic detection technology. It is mainly used to locate targets and interfaces in underground structures.
Wenda Bi   +3 more
doaj   +1 more source

Estimation of signal-to-noise ratios [PDF]

open access: yes, 1969
Statistical method estimates signal-to-noise ratios in an observed random voltage, such as the output of a telemetry receiver.
Couvillon, L. A., Jr., Gilchriest, C. E.
core   +1 more source

Noise resistance of adiabatic quantum computation using random matrix theory

open access: yes, 2004
Besides the traditional circuit-based model of quantum computation, several quantum algorithms based on a continuous-time Hamiltonian evolution have recently been introduced, including for instance continuous-time quantum walk algorithms as well as ...
A. M. Childs   +9 more
core   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky   +8 more
wiley   +1 more source

Quantum-Accelerated Dictionary Learning Based on HHL and QSVT for Seismic Data Denoising

open access: yesIEEE Access
In seismic data processing, denoising is crucial for identifying the Earth’s subsurface structure. Erratic noise in seismic data is challenging because of its high amplitude and non-Gaussian distribution characteristics.
Nakka Shekhar, Karthikeyan Elumalai
doaj   +1 more source

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