In today’s educational landscape, active learning is often overlooked during lectures, seminars, and tutorials. The aim of this study was to investigate perceptions online face-to-face lecture formats their impact on the experiences undergraduate dental students in Years 3–5. This qualitative conducted effectiveness different at Institute Dentistry for There were two specific questions asked wi...

We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers’ performances. Both classifiers pe...

The statistical properties of active and passive scalar fields transported by the same turbulent flow are investigated. Four examples of active scalar have been considered: temperature in thermal convection, magnetic potential in two-dimensional magnetohydrodynamics, vorticity in two-dimensional Ekman turbulence and potential temperature in surface flows. In the cases of temperature and vortici...

As electronic communication becomes increasingly common, and as students juggle study, work, and family life, many universities are offering their students more flexible learning opportunities. Classes once delivered face-to-face are often replaced by online activities and discussions. However, there is little research comparing students' experience and learning in these two modalities. The aim...

Face hallucination is a task of generating high-resolution (HR) face images from low-resolution (LR) inputs, which subfield the general image super-resolution. However, most previous methods only consider visual effect, ignoring how to maintain identity face. In this work, we propose novel model, called C-Face network, can generate HR with high quality while preserving information. A recognitio...