- ‘My Ideal First Day’: Implications for induction from a three (London) university project more
- ‘My Ideal First Day’: Implications for induction from a three (London) university project more
- ’My ideal first day’ more
- “Make it or fake it?” The Imposter Syndrome in Kitchen Professionals more
- “Make verbal abuse a crime": Listening to disabled people’s experiences of hate crime more
- “Marketing Tourism Regions: Effectiveness through Co-operation” more
- “Media Acts”: The Trickster, the Prankster, the Hoax and the Hack. more
- “Mind the (Virtual) Gap”: A Critical Analysis of UK and Japanese Copyright Exceptions Relating to Immersive Environments and the Metaverse more
- “More than just saving the government care costs”: Re-presenting student carers’ narratives. more
- “Mr Eliot has Re-Discovered a Portrait of Himself”: Reframing Lewis’s Rejected Masterpiece in the 21st Century more
- 100M Sprinting with an Amputation: Some Technological Considerations for Success more
- 3-month versus 6-month adjuvant chemotherapy for patients with high-risk stage II and III colorectal cancer: 3-year follow-up of the SCOT non-inferiority RCT. more
- 6 × 40 mins exercise improves body image, even though body weight and shape do not change more
- 8mya-3,000BCE more
- M22 - A Modern Visual Novel Framework more
- MA Digital Effects 0809 Class Photo (with Projects) more
- MA Digital Effects 2007/8 Class Photograph more
- MA Digital Effects 2008/9 Class Photograph more
- MABp1 as a novel antibody treatment for advanced colorectal cancer: a randomised, double-blind, placebo-controlled, phase 3 study. more
- MABp1 to improve clinical outcomes of patients with symptomatic refractory metastatic colorectal cancer patients: Per-protocol population analysis of phase III study (P1026). more
- Machiavelli, Performative Politics, and Post-Truth Populism more
- Machine Agency in Human-Machine Networks; Impacts and Trust Implications more
- Machine Component Analysis with MATLAB more
- Machine learning and interactive real-time simulation for training on relevant total hip replacement skills. more
- Machine Learning Applications in Renewable Energy (MLARE) Research: A Publication Trend and Bibliometric Analysis Study (2012–2021) more