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A Systematic Comparison of Alpha‐Synuclein Seed Amplification Assays for Increasing Reproducibility
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Seed amplification assays (SAAs) enable ultrasensitive detection of misfolded α‐synuclein across biofluids and tissues. Yet, heterogeneity in protocols limits cross‐study comparability and clinical translation. Here, we review α‐synuclein SAA methods and their performance across various biological matrices.
Manuela Amaral‐do‐Nascimento +3 more
wiley +1 more source
Multi-Channel Vibration Signal Analysis for Flexible Bearing Fault Diagnosis of Industrial Robot Harmonic Drives. [PDF]
Sensors (Basel)Lin R, Duan X, Gao T.
europepmc +1 more source
Chaotic fluctuations mark the sign of mental activity in task-based heart rate variability. [PDF]
Sci RepMao T, Okutomi H, Umeno K.
europepmc +1 more source
A Frequency-Aware Self-Supervised Framework for MEMS-OCT Denoising. [PDF]
Biosensors (Basel)Zhang G, Li Z, Zhao H, Peng Z, Xie H.
europepmc +1 more source
DFENet: A Novel Dual-Path Feature Extraction Network for Semantic Segmentation of Remote Sensing Images. [PDF]
J ImagingCao L, Liu Z, Wang Y, Gao R.
europepmc +1 more source
Bioresorbable acoustic patch for simultaneous sealing and early detection of gastric leakage. [PDF]
Sci AdvHu J +6 more
europepmc +1 more source
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2014
So far, we have mostly examined the response of dynamic systems to relatively simple inputs: impulses, steps, and ramps. While we have used Matlab ® to calculate the response of systems to more complex inputs numerically, there are also analytical methods that can be used to identify the response of systems to inputs of a general form.
Matthew A. Davies, Tony L. Schmitz
+4 more sources
So far, we have mostly examined the response of dynamic systems to relatively simple inputs: impulses, steps, and ramps. While we have used Matlab ® to calculate the response of systems to more complex inputs numerically, there are also analytical methods that can be used to identify the response of systems to inputs of a general form.
Matthew A. Davies, Tony L. Schmitz
+4 more sources
2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2016
In this paper it is presented the second stage analysis used to determine the signal quality coefficient for vibro-acoustic signals. After successfully determining the integrity coefficient in the “first stage analysis on determining the Signal Quality Coefficient in vibro-acoustic domain-waveform integrity analysis” paper a second and deeper analysis ...
+5 more sources
In this paper it is presented the second stage analysis used to determine the signal quality coefficient for vibro-acoustic signals. After successfully determining the integrity coefficient in the “first stage analysis on determining the Signal Quality Coefficient in vibro-acoustic domain-waveform integrity analysis” paper a second and deeper analysis ...
+5 more sources
Frequency-Domain Circuit Analysis
1999The sections in this article are 1 Frequency-Domain Circuit Equations 2 State Equations 3 Network Functions 4 Two-Sided Laplace and Fourier Transforms in Circuit Analysis 5 Applications of Frequency-Domain ...
BIEY, MARIO, MAIO I.
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2003
The results discussed in chapter 3 reveal the existence of trends in the data. The results from trend tests, however, suggest that this variability is more likely to be non-monotonic in nature; i.e. periodic or cyclic. Spectral analysis in the frequency domain is suitable for analyzing cyclic behavior in time series. The basic idea of spectral analysis
A. Ramachandra Rao +2 more
openaire +1 more source
The results discussed in chapter 3 reveal the existence of trends in the data. The results from trend tests, however, suggest that this variability is more likely to be non-monotonic in nature; i.e. periodic or cyclic. Spectral analysis in the frequency domain is suitable for analyzing cyclic behavior in time series. The basic idea of spectral analysis
A. Ramachandra Rao +2 more
openaire +1 more source