Cotton Marker Database(CMD) as an Enhanced Resource for Cotton Research Community

Recently,thousands of SSR and now SNP markers have been discovered in cotton.Each of these markers provides a valuable molecular tool applying genetic and genomic research to cotton improvement.Cotton DNA marker database(CMD) continues to serve as a molecular marker resource for

TWO PROPOSALS CONCERNING ENHANCEMENT OF OCEANOGRAPHIC RESEARCH IN CHINA

Contemporary sciences are characterized by disciplinary diversity,so we cannot attend necessarily to each and every aspect of them.The development of oceanic sciences involves the exploration of marine resources,state sovereignty,national interests and the future of our motherland.Therefore,its actual significance,

Fundamental Research on Enhancing Operation Reliability for Large-Scale Interconnected Power Grids——An interview with Zhou Xiaoxin, chief scientist of "973 Program"

At the end of last year, the editors from Power and Electrical Engineers interviewed Zhou Xiaoxin on "Fundamental Research on Enhancing Operation Reliability for Large-Scale Interconnected Power Grids", a project of "973 Program". Mr. Zhou, the chief engineer of China Electric Power Research Institute(CEPRI) and an academician of Chinese Academy of Sciences, is the chief scientist in charge of this research project.

Research foresight in bridging open science and open innovation:Overview based on the complex thinking paradigm

Open innovation benefits from access to cutting-edge discoveries to increase their transformation into tangible applications for the benefit of society.Improving research quality has been proposed as a primary objective of open science by the United Nations,to increase science reproducibility,impact,and trust,leading to robust decision-making and policies.However,opening access to data and processes is insufficient for researchers to achieve open innovation in the context of globalization,for example,by gathering insights from external and internal sources.Developing the appropriate mindset to manage complexity and generate synergy among researchers in academia,industry,and the government is essential to catalyze knowledge and transform it into relevant innovations for society.To gain insights into the roles and challenges of researchers aiming to bridge the gap between open science and open innovation,a decade-plus Mapping Literature Review was conducted based on the complex thinking paradigm.Complex thinking allows for novel connections of the information collected through open science and open innovation,considering different forms of engaging with alternative means of knowledge creation that may promote innovative and critical thinking.The findings revealed:a)broad positioning of the terms in the European Union;b)open access and open data as current driving themes;c)a constant trade-off between the terms“open data”and“information protection”;d)lack of studies on researchers’complex thinking to help them manage openness;e)absence of the environmental helix in the initiatives;and(f)challenges in innovative communication and collaborative practices among public and private entities.Overall,we identified an opportunity to develop researchers’complex thinking such that the openness of information becomes a shared responsibility among partners across multiple helices.This shared responsibility can have methodological implications that permeate how open science and open innovation are theorized and,in practice,facilitate the development of fundamental collaborative research procedures.

Research on separation and enhancement of speech micro-vibration from macro motion

Based on the 1 550 nm all-fiber pulsed laser Doppler vibrometer(LDV) system independently developed by our laboratory, empirical mode decomposition(EMD) and optimally modified Log-spectral amplitude estimator(OM-LSA) algorithms are associated to separate the speech micro-vibration from the target macro motion. This combined algorithm compensates for the weakness of the EMD algorithm in denoising and the inability of the OM-LSA algorithm on signal separation, achieving separation and simultaneous acquisition of the macro motion and speech micro-vibration of a target. The experimental results indicate that using this combined algorithm, the LDV system can functionally operate within 30 m and gain a 4.21 d B promotion in the signal-to-noise ratio(SNR) relative to a traditional OM-LSA algorithm.