S'identifier

Sheffield Hallam University

3 ARTICLES PUBLISHED IN JoVE

Behavior

Investigating the 'Uncatchable Smile' in Leonardo da Vinci's La Bella Principessa: A Comparison with the Mona Lisa and Pollaiuolo's Portrait of a Girl

Alessandro Soranzo¹, Michelle Newberry¹

¹Department of Psychology, Sociology and Politics, Sheffield Hallam University

This paper discusses the methodology used to reveal the 'Uncatchable Smile' illusion in Leonardo da Vinci's La Bella Principessa portrait. A combination of three methods was used (inter-observation, structured interviews, and psychophysical experiments), which led to an investigation that shaped itself without prior beliefs, thus reducing potential researcher bias.

JoVE Journal

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Ana-Maria Bliuc¹, Muhammad Iqbal², David Best³

¹School of Social Sciences and Psychology, Western Sydney University, ²Institute for Sustainable Industries and Liveable Cities (ISILC), Victoria University, ³Centre for Regional Economic and Social Research, Sheffield Hallam University

The article describes a novel approach for analyzing dynamic online social interactions (in an online context) exemplified by a study of an online community of recovery from alcohol and drug addiction.

Biology

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Rebecca Lees^*1, Robert Tempest^*1, Alice Law^*1, Dimitri Aubert^*1, Owen G. Davies^*2, Soraya Williams^*2, Nick Peake^*3, Ben Peacock^*1

¹NanoFCM Co., Ltd, ²School of Sport, Exercise and Health Sciences, Loughborough University, ³Biomolecular Sciences Research Centre, Sheffield Hallam University

The latest generation of EV characterization tools are capable of single EV analysis across multiple parameters simultaneously. Nano-flow cytometry measures all biological particles larger than 45 nm without labeling and identifies specific characteristics of subpopulations by a variety of fluorescent labeling techniques.