Results 51 to 60 of about 37,745 (280)
Mixed analogue/digital phase picking algorithm in oversampling burst-mode clock phase alignment
, 2009 A novel mixed analogue/digital design of a phase picking algorithm in an oversampling clock phase recovery is presented. The proposed approach results in reduced processing time, improved integrability with analogue front-end and low noise generation ...
Baekelandt, Bart +7 more
core +1 more source
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
Molecular Oncology, EarlyView.PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
First Arrival Picking of Seismic Data Based on Trace Envelope
IEEE Access, 2019 We introduce a new method for first arrival traveltime picking based on the maximum difference between adjacent points of the envelope (MDPE) of a seismic trace.
Abdullah A. Al-Mashhor +3 more
doaj +1 more source
Blockly earthquake transformer: A deep learning platform for custom phase picking
, 2023 Deep-learning (DL) algorithms are increasingly used for routine seismic data processing tasks, including seismic event detection and phase arrival picking.
Pascal Audet +4 more
core +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Phenotype of SlEIN2-silenced tomato three months after picking, BK+5 phase was initiated.
, 2016 Phenotype of SlEIN2-silenced tomato three months after picking, BK+5 phase was initiated.
Ben-Zhong Zhu (2817670) +6 more
core +1 more source
LEQNet: Light Earthquake Deep Neural Network for Earthquake Detection and Phase Picking
Frontiers in Earth Science, 2022 Developing seismic signal detection and phase picking is an essential step for an on-site early earthquake warning system. A few deep learning approaches have been developed to improve the accuracy of seismic signal detection and phase picking.
Jongseong Lim +8 more
doaj +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning
Nature Communications, 2023 Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake monitoring and subsurface imaging. However, its distinct characteristics, such as unknown ground coupling and high noise level, pose challenges to signal processing.
Weiqiang Zhu +5 more
doaj +1 more source
Automatic Horizon Picking Using Multiple Seismic Attributes and Markov Decision Process
Remote Sensing, 2023 Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing.
Chengliang Wu +5 more
doaj +1 more source