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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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The Innovation
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2666-6758
Published by Elsevier Homepage  [2906 journals]
  • Hyper-seq: A novel, effective, and flexible marker-assisted selection and
           genotyping approach

    • Authors: Meiling Zou; Zhiqiang Xia
      Abstract: Recently, a novel extremely low-cost, effective, flexible, and high-throughput DNA sequencing library preparation and genotyping approach has been developed named Hyper-seq. This new technology has been adopted by more than 15 research institutes and universities, which has significantly improved the efficiency of crop breeding.
      Citation: The Innovation 3, 4 (2022)
      PubDate: 2022-04-29
      DOI: 10.1016/j.xinn.2022.100254
      Issue No: Vol. 3, No. 4 (2022)
  • Combining printing and nanoparticle assembly: Methodology and application
           of nanoparticle patterning

    • Authors: Weidong Zhao; Yanling Yan, Xiangyu Chen, Tie Wang
      Abstract: Functional nanoparticles (NPs) with unique photoelectric, mechanical, magnetic, and chemical properties have attracted considerable attention. Aggregated NPs rather than individual NPs are generally required for sensing, electronics, and catalysis. However, the transformation of functional NP aggregates into scalable, controllable, and affordable functional devices remains challenging. Printing is a promising additive manufacturing technology for fabricating devices from NP building blocks because of its capabilities for rapid prototyping and versatile multifunctional manufacturing.
      Citation: The Innovation 3, 4 (2022)
      PubDate: 2022-04-27
      DOI: 10.1016/j.xinn.2022.100253
      Issue No: Vol. 3, No. 4 (2022)
  • Global impacts of COVID-19 on sustainable ocean development

    • Authors: Qutu Jiang; Zhenci Xu, Hongsheng Zhang
      Abstract: The abrupt outbreak of coronavirus disease in 2019, also known as COVID-19, has led to an unprecedented global public health crisis. Current studies have paid immense attention to the impacts of COVID-19 posed to the atmosphere and the land-based sectors in areas such as air quality, carbon emission, economic sentiment, educational and social equality, etc. It is depicted that carbon emission had dropped about 8.8% in the first half of 2020 compared to 2019;1 significant reduction of air pollutants such as PM2.5 and NO2 were moreover reported at national, regional, and global levels.
      Citation: The Innovation 3, 4 (2022)
      PubDate: 2022-04-26
      DOI: 10.1016/j.xinn.2022.100250
      Issue No: Vol. 3, No. 4 (2022)
  • Why is the SARS-CoV-2 Omicron variant milder'

    • Authors: Bingqing Xia; Yi Wang, Xiaoyan Pan, Xi Cheng, Hongying Ji, Xiaoli Zuo, Hualiang Jiang, Jia Li, Zhaobing Gao
      Abstract: In November 2021, a new SARS-CoV-2 variant emerged in South Africa and was designated the fifth variant of concern and named Omicron. It was detected in more than 26 countries worldwide, including China. The Omicron variant is highly transmissible and has extensive morbidity, which has raised concerns related to antiviral therapy. Recent reports have revealed that the Omicron variant exhibits a longer cycle of viral shedding and a decreased replication capacity and results in substantially attenuated lung pathology, indicating that the pathogenic ability of the Omicron variant is lower than that of previous variants.
      Citation: The Innovation 3, 4 (2022)
      PubDate: 2022-04-26
      DOI: 10.1016/j.xinn.2022.100251
      Issue No: Vol. 3, No. 4 (2022)
  • Accelerating deep learning with high energy efficiency: From microchip to
           physical systems

    • Authors: Huanhao Li; Zhipeng Yu, Qi Zhao, Tianting Zhong, Puxiang Lai
      Abstract: In the era of digits and internet, massive data have been continuously generated from a variety of sources, including video, photo, audio, text, internet of things, etc. It is intuitive that more accurate patterns can be obtained by feeding more data for effective analysis; despite the data redundancy, a clearer picture can be delineated for better decision-making. However, traditional methods, even in machine learning, do not benefit from the expanding amount of data, whose performance nearly saturates when the data collection is large enough (Figure 1A).
      Citation: The Innovation 3, 4 (2022)
      PubDate: 2022-04-26
      DOI: 10.1016/j.xinn.2022.100252
      Issue No: Vol. 3, No. 4 (2022)
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