Multichannel singular spectrum analysis (MSSA) is an effective algorithm for random noise attenuation in seismic data, which decomposes the vector space of Hankel matrix noisy signal into a subspace and by truncated value decomposition (TSVD). However, this actually still contains residual noise. We have derived new formula low-rank reduction, more powerful distinguishing between compared with traditional TSVD. By introducing damping factor MSSA to dampen values, we developed attenuation....

The Cadzow rank-reduction method can be effectively utilized in simultaneously denoising and reconstructing 5-D seismic data that depend on four spatial dimensions. classic version of arranges the 4-D into a level-four block Hankel/Toeplitz matrix then applies truncated singular value decomposition (TSVD) for rank reduction. When observed are extremely noisy, which is often feature real data, traditional TSVD cannot adequate attenuating noise signals. reconstructed tend to contain...

The low-rank approximation method is one of the most effective approaches recently proposed for attenuating random noise in seismic data. However, approach assumes that data has low rank its f - x domain Hankel matrix. This assumption seldom satisfied complicated Besides, usually implemented local windows order to satisfy principal required by algorithm itself. When windows, even more difficult choose because highly nonstationary both time and spatial dimensions optimal different not...

The frequency of microseismic data is higher than that conventional seismic data. range effective usually from 100 to 500 Hz, and low-frequency noise a common disturbance in downhole monitoring. Conventional signal analysis techniques, such as band-pass filters, have their limitation processing when the useful signals share same band. We developed novel method suppress based on mathematical morphology theory aims at distinguishing according tiny differences waveform. By choosing suitable...

Triple-negative breast cancer (TNBC) is currently the worst prognostic subtype of cancer, and there no effective treatment other than chemotherapy. Processing precursors 1 (POP1) most substantially up-regulated RNA-binding protein (RBP) in TNBC. However, role POP1 TNBC remains clarified. A series molecular biological experiments vitro vivo clinical correlation analyses were conducted to clarify function regulatory mechanism Here, we identified that significantly associated with poor...

Abstract Advancements in cryo-electron tomography (cryoET) allow the structure of macromolecules to be determined situ, which is crucial for studying membrane protein structures and their interactions cellular environment. However, membranes are often highly curved have a strong contrast cryoET tomograms, masks signals from proteins. These factors pose difficulties observing revealing proteins situ. Here, we report membrane-flattening method corresponding software, MPicker, designed...

Multichannel singular spectrum analysis (MSSA) is an effective algorithm for random noise attenuation; however, it cannot be used to suppress coherent noise. This limitation results from the fact that conventional MSSA method distinguish between useful signals and in spectrum. We have developed a randomization operator disperse energy of time-space domain. Furthermore, we novel extraction signals, i.e., simultaneous attenuation, by introducing into algorithm. In this method, which call...

A real-world signal is always corrupted with noise. The separation between a and noise an indispensable step in variety of signal-analysis applications across different scientific domains. In this paper, we propose double least-squares projections (DLSPs) method to estimate from the noisy data. first projection find signal-dimensional optimal approximation data sense. step, rough estimation obtained. second another crossed space much improved that close orthogonal separated subspace can be...

The dreamlet (drumbeat-beamlet) transform can provide us an efficient method to represent physical wavefield, because the basis satisfies automatically wave equation, which is a distinctive feature different from mathematical basis, such as Fourier and curvelet. It obtain estimation of true signal observed noisy data by abandoning those insignificant components in domain. However, we have found that more accurate be achieved damped version representation. We theoretically derived...

Linear coherent noise attenuation is a troublesome problem in variety of seismic exploration areas. Traditional methods often use the differences frequency, wavenumber, or amplitude to separate useful signal and noise. However, application traditional limited even invalid when aforementioned between are too small be distinguished. For this reason, we have managed develop new algorithm from shape waves, thus, introduce mathematical morphological filtering (MMF) into attenuation. The operation...

SUMMARY Low-frequency noise is one of the most common types in seismic and microseismic data. Conventional approaches, such as high-pass filtering method, utilize low-frequency nature distinguish between signal based on their different frequency contents. However, conventional approaches are limited or even invalid when shares same band. Moreover, method will suppress not only but also they overlap a band, which extremely important inversion process for building subsurface velocity model. To...

During tumor expansion, breast cancer (BC) cells often experience reactive oxygen species accumulation and mitochondrial damage because of glucose shortage. However, the mechanism by which BC deal with glucose-shortage-induced oxidative stress remains unclear. Here, we showed that MANF (mesencephalic astrocyte derived neurotrophic factor)-mediated mitophagy facilitates cell survival under glucose-starvation conditions. MANF-mediated also promotes fatty acid oxidation in glucose-starved...

Abstract Microseismic method is an essential technique for monitoring the dynamic status of hydraulic fracturing during development unconventional reservoirs. However, one challenges in microseismic that those seismic signals generated from micro seismicity have extremely low amplitude. We develop a methodology to unveil are smeared strong ambient noise and thus facilitate more accurate arrival-time picking will ultimately improve localization accuracy. In proposed technique, we decompose...

Multichannel singular spectrum analysis (MSSA) is an effective approach for simultaneous seismic data reconstruction and denoising. MSSA utilizes truncated value decomposition (TSVD) to decompose the noisy signal into a subspace noise weighted projection onto convex sets (POCS)-like method reconstruct missing in appropriately constructed block Hankel matrix at each frequency slice. However, there still exists some residual space due two major factors: deficiency of traditional TSVD...

Simultaneous-source shooting can help reduce the acquisition time cost, but at expense of introducing strong interference (blending noise) into acquired seismic data. It has been demonstrated previously that deblending problem be considered as an inversion process. In this letter, we propose a new iterative approach to solve problem. proposed approach, coherency-promoting constraint, called structuring median filtering (SMF), is and used regularize estimated model in each iteration. The SMF...

Predictive filtering (PF) in the frequency domain is one of most widely used denoising algorithms seismic data processing. PF based on assumption linear or planar events time-space domain. In traditional methods, a predictive filter fixed across spatial dimension, which cannot deal with variations well. To handle curved events, either applied local windows extended into nonstationary version. The regularized autoregression (RNAR) method can be treated as extension PF, coefficients are...

Seismic image interpolation is a currently popular research subject in modern reflection seismology. The problem generally treated as process of inversion. Under the compressed sensing framework, various sparse transformations and low-rank constraints based methods have great performances recovering irregularly missing traces. However, case regularly traces, their applications are limited because strong spatial aliasing energies. In addition, erratic noise always poses serious impact on...

ABSTRACT Cadzow filtering is currently considered as one of the most effective approaches for seismic data reconstruction. The basic version first reorders each frequency slice (to be reconstructed) to a block Hankel/Toeplitz matrix, and then implements rank‐reduction operator, that truncated singular value decomposition, matrix. However, cannot deal with problem recovering regularly missing (up‐sampling) in case strongly aliased energy, because will mix signals spectrum. To solve this...