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Li-ion battery;synchrotron radiation;big data mining;X-ray spectro-microscopy

Synchrotron Radiation Technology and Scientific Big Data Mining Assist Energy Materials Research[Dec 05, 2017]

An international research team has applied synchrotron radiation nanoscale x-ray imaging technology and scientific big data mining in an in-situ study of LiCoO2 battery electrodes. The research results can help materials scientists to further improve the properties of battery materials, and are also important for basic scientific research on the failure mechanism of battery materials.

ocean;ocean bottom;geoacoustic inversion;Green's function;time reversal

Hitting Rewind Button! Measure Ocean Bottom by Reversing Ocean Noise Back to its Origin[Dec 05, 2017]

Researchers from the Institute of Acoustics (IOA) of the Chinese Academy of Sciences, University of Haifa, and University of Colorado Boulder present a passive geoacoustic inversion method, by using two hydrophones and creating time reversal of ocean noise, to measure the bottom parameters indirectly.

WRKY DNA binding protein75 (WRKY75);flowering time;gibberellic acid;regulator;Arabidopsis

WRKY75 positively Regulates Flowering Time Control via Gibberellic Acid Pathway[Dec 05, 2017]

Recently, Prof. YU Diqiu and his team from Xishuangbanna Tropical Botanical Garden (XTBG) of the Chinese Academy of Sciences newly identified Arabidopsis thaliana WRKY DNA binding protein75 (WRKY75) as a positive regulator of flowering initiation.

music;ear;brain;musical training;speech processing;human brains; functional magnetic resonance imaging;musical education

Why Musical Training Benefits Us in Processing Speech[Dec 05, 2017]

A brain imaging study by Dr. DU Yi from the Institute of Psychology of the Chinese Academy of Sciences and her collaborator Dr. Zatorre Robert from the Montréal Neurological Institute and McGill University has revealed that musical training might improve speech perception in noisy environments via enhanced neural foundation in bottom-up auditory encoding, top-down speech motoric prediction, and cross-modal auditory-motor integration.

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