The “dirty dozen” of freshwater science: Detecting then reconciling hydrological data biases and errors by Robert Wilby, Nicholas Clifford, Paolo De Luca, Shaun Harrigan, John Hillier, Richard Hodgkins, Matthew F. Johnson, Tom K.R. Matthews, Conor Murphy, Simon Noone, Simon Parry, Christel Prudhomme, Stephen Rice, Louise Slater, Katie Smith, Paul Wood

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Residual relief separation: digital elevation model enhancement for geomorphological mapping by John Hillier, Mike J. Smith

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Strong, steady and straight: UK consensus statement on physical activity and exercise for osteoporosis by Katherine Brooke-Wavell, Dawn A Skelton, Karen L Barker, Emma M Clark, Sarah De Biase, Susanne Arnold, Zoe Paskins, Katie R Robinson, Rachel M Lewis, Jonathan H Tobias, Kate A Ward, Julie Whitney, Sarah Leyland

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Use of Machine Learning to Automate the Identification of Basketball Strategies Using Whole Team Player Tracking Data by Changjia Tian, Varuna De-Silva, Michael Caine, Steve Swanson

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A comparison of methods for the estimation of body composition in highly trained wheelchair games players by Vicky Goosey-Tolfrey, Mhairi Keil, Katherine Brooke-Wavell, Sonja de Groot

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Estimates of local biodiversity change over time stand up to scrutiny by Mark Vellend, Maria Dornelas, Lander Baeten, Robin Beausejour, Carissa D. Brown, Pieter De Frenne, Sarah C. Elmendorf, Nicholas J. Gotelli, Faye Moyes, Isla H. Myers-Smith, Anne E. Magurran, Brian McGill, Hideyasu Shimadzu, Caya Sievers

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Mistakenly misinformed or intentionally deceived? Mis- and Disinformation perceptions on the Russian War in Ukraine among citizens in 19 countries by Michael Hameleers, Marina Tulin, Claes de Vreese, Toril Aalberg, Ana Sofia Cardenal, Nicoleta Corbu, Patrick van Erkel, Frank Esser, Luisa Gehle, Denis Halagiera, David Hopmann, Karolina Koc-Michalska, Jörg Matthes, Christine Meltzer, Sabina Mihelj, Christian Schemer, Tamir Sheafer, Sergio Splendore, James Stanyr, Agnieszka Stepinska, Vaclav Stetka, Jesper Strömbäck, Ludovic Terren, Yannis Theocharis, Alon Zoizner

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Was pro-poor economic growth in Australia for the income-poor? And for the multidimensionally-poor? by Fran Azpitarte

“…The sensitivity of pro-poor growth evaluations to the deÖnition of poverty is evaluated by comparing the results for the standard income-poverty measure with those based on a multidimensional deÖnition of poverty. …”
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Neoliberalism, policy localisation and idealised subjects: a case study on educational restructuring in England by Sarah Holloway, Helena Pimlott-Wilson

“…This process not only involves the reproduction of classed, (de)gendered, and heterosexed discourses seen in national policy, but also moments where local actors draw on alternative models of parenting and/or childhood to influence school-based policy, with the result that what is perceived to be ‘good’ for families of one social class is not seen to be so for others. …”
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The link between consumer memory and brand choice: a comparison across two markets by Rachel Fuller

“…The aim is important for two reasons: (i) recent evidence has questioned the precise nature of the link (e.g., Stocchi et al., 2015), thus potentially challenging a long-standing body of CBBE research; and (ii) up-to-date efforts in CBBE research have shifted towards linking the two aspects (memory and choice) to conceptualise CBBE as a process (e.g., Christodoulides et al., 2015; Grohs et al., 2016), but how exactly this can happen is still in its infancy (Stocchi and Fuller, 2017). …”
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