RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        A review on Silver-mediated DNA base pairs: methodology and application

        Qiao Sun,Xiao Xie,Yujie Song,Litao Sun 한국생체재료학회 2022 생체재료학회지 Vol.26 No.2

        The investigation of the interaction between metal ions and DNA has always attracted much attention in the fields of bioinorganic chemistry, supramolecular coordination hemistry, and DNA nanotechnology. Its mode of action can be simply divided into two aspects. On the one hand, it is non-specific electrostatic adsorption, mainly including Na+, K+, Mg2+, Ca2+ and other physiologically regulating ions; on the other hand, it is specific covalent binding, such as Pt2+, Hg2+, Ag+ and other heavy metal ions. This article focuses on the mechanism of action between Ag+ and DNA mismatch pair C-C, and summarizes its main characterization methods and various applications. It aims to provide a certain reference for the field of biological devices. With the development of cryoelectron microscopy and liquidcell TEM, the structure of C-Ag+-C is expected to be further characterized, which will be more widely used.

      • KCI등재

        Research on the Artificial Neural Network Unfolding Method for the Water-Pumping-Injection Multi-Homocentric Sphere Neutron Spectrometer

        Kang Chang,Yi Cheng,Jian-Bo Yang,Yujie Qiao,Rui Li,Can Zhang 한국물리학회 2019 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.74 No.6

        This work aimed to study an algorithm for the unfolding spectrum acquired by using a water-pumping-injection multi-homocentric sphere neutron spectrometer. The readings of the water-pumping-injection multi-homocentric sphere neutron spectrometer under 32 different neutron sources, including $^{241}$Am-Be spontaneous, $^{238}$Pu Watt, and $^{232}$Th Maxwell fission, were obtained by using the FLUKA Monte Carlo code and were input as the neural network training values for constructing the method of back-propagation artificial neural network neutron spectrum unfolding (MBANSU). Two neutron readings that were Monte Carlo experimentally measured from $^{252}$Cf spontaneous and $^{245}$Cm Maxwell fission sources were used as the testing values for MBANSU. The calculated neutron energy spectrum was in good agreement with the ENDF energy spectrum, and the information entropy of the result spectrum approximated that of the ENDF spectrum. Results indicate that the established MBANSU algorithm has potential applications for unfolding spectra collected by using the water-pumping-injection multi-homocentric sphere neutron spectrometer.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼