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  • European Sources Online

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on January 10, 2014 European Sources Online based at the University of Cardiff  EDC is available at http://www.europeansources.info/search.

  • Happiness (and the effects of Covid-19 on it)

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on March 22, 2021 The World Happiness Report  is a survey of the state of global happiness that ranks over 150 countries by how happy their citizens feel themselves to be.

  • Inequality in the UK

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on December 5, 2017 Is London the most socially mobile place in the UK?  See the latest report from the Social Mobility Commission.

  • Study reveals new associations with lung disease and smoking behaviour

    Smokers who survive their habit into old age may hold the key to better lung health for all, according to a study involving co-led by Professor Martin Tobin (pictured) from the Department of Health Sciences and funded by the Medical Research Council (MRC).

  • Global Dust Storm on Mars July 9th 2018, Sol 2105

    Posted by jbridges in Mars Science Laboratory Blog on July 9, 2018 We are experiencing the most intense global dust storm on Mars since 2001.

  • Sol 1 Monday 7th August

    Posted by jbridges in Mars Science Laboratory Blog on August 7, 2012 Mars Reconaissance Orbiter Image of Curiosity Descent. Good news from ChemCam PI Roger Wiens ‘All Systems are Go’.

  • Easter eggs hot cross buns and the microorganisms that help create them

    With supermarket shelves filled with chocolate at this time of year, little thought goes into how the humble cocoa bean eventually becomes the popular Easter egg.

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Training and development

    The AMF staff train users from across the university and industry in operating the electron microscopes and sample preparation techniques.

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