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24506 results for: ‘Opencart主题模板响应式 Sinrato v3.0.x✅项目合作 二开均可 TG:saolei44✅.rwCdeKoZveT’

  • Nikon microscope 4

    See more about the Nikon microscope 4 that is part of the Advanced Imaging Facility.

  • MIXS: studying Mercury in detail

    BepiColombo carries two X-ray spectrometers: MIXS (Mercury Imaging X-Ray Spectrometer) and SIXS (Solar Imaging X-Ray Spectrometer). No-one has sent an imaging X-ray telescope to any planetary body before so this is ground-breaking science.

  • GradeMark rubrics – what are they and how can you use them?

    Posted by Catherine Leyland in Leicester Learning Institute: Enhancing learning and teaching on March 1, 2017 What is a rubric? A rubric is a set of marking criteria that can be used to make marking easier and more consistent.

  • Contextualising Literature: From Genesis to Generation X

    Module code: EN3152 In this module you will consider the question of context in literary studies.

  • Space instrument gets good vibrations in major step for solar wind mission

    A cutting-edge x-ray telescope has shaken off a University of Leicester test that put it through the rigours of being launched into space.

  • Zeiss Elyra 7 lattice SIM2

    In spring 2024 we introduced the Zeiss Elyra 7 lattice SIM2 into the facility after a successful application to the BBSRC ALERT 2022, lead by Dr Yolanda Markaki.

  • Can Black Hole Tidal Disruptions Leave Remnants?

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 22 April 2020 A guest blog from Professor Andrew King on black holes and observations from NASA’s Chandra X-ray Observatory and ESA’s XMM-Newton.

  • Contact us

    Find out how to contact us at Leicester Medical School, including our postal address, telephone numbers and email address. You can also connect with us via social media on Twitter.

  • Beatriz Romartínez-Alonso

    The academic profile of Dr Beatriz Romartínez-Alonso, Research Associate at University of Leicester.

  • Publications

    Wang, P., Tao, Q., Dong, H., & El-Fallah, G. M. A. M. (2025). Advanced machine learning analysis of radiation hardening in reduced-activation ferritic/martensitic steels. Computational Materials Science. doi:10.1016/j.commatsci.2025.113773 Li, M., Fu, J.

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