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1. sport and exercise science celebration

   LJMU has held a special event to celebrate 50 years of sports science.

2. Liverpool City Region HDD project tests low carbon credentials of Open RAN technology at Act 1.5 event

   The project is investigating if new technology improves digital connectivity in high density settings such as music venues.

3. Eco coastal defence technology wins LCR Launchpad

   Dr Monower Sadique and Dr Iacopo Carnacina create process for manufacturing extremely low carbon cement-free concrete blocks from industrial and construction wastes

4. Student Spotlight: Abbie Romano

   The representations of women in STEM (Science, Technology, Engineering and Maths) roles is improving, but there’s work to be done. As of 2018, WISE Campaign (Women into Science and Engineering) announced that the UK is on track to have one million women working in the field by 2020. These statistics are encouraging, and demonstrate an improvement in opportunities shown to young women who pursue the career path.

5. Do psychopaths experience pain differently?

   Psychologist Dr Minna Lyons and PhD student Sophie Alshukri find that psychopaths maybe do not recognise feelings of pain as others

6. Race equality champion Lord Woolley visits LJMU-curated exhibition of Jamaican art

   Race equality champion and House of Lords crossbencher, Simon Woolley (Lord Woolley of Woodford), was a special guest at the LJMU-curated Jamaica Making exhibition.

7. Royal Television Society award for Gioia's tragic documentary

   Journalism graduate Gioia's heartfelt film seeks answers after death of her father

8. Singaporean student finds 'family love' in Liverpool football

   Journalism student's writings win Football Writers' Award

9. Advance HE Aurora Programme final days to apply

   LJMU staff are reminded that the application deadline for the Advance HE Aurora Programme, a leadership development initiative for women, is Friday 4 November 2022.

10. Smart shoes trialled to cut risk of stair falls

    Scientists aim to create software to predict falls in elderly