STILTool: a Semantic Table Interpretation evaLuation Tool

This paper describes STILTool, an open-source tool for the automatic evaluation of the quality of semantic annotations computed by semantic table interpretation approaches. STILTool provides a graphical interface allowing users to analyse the correctness of the annotations of tabular data. The tool also provides a set of statistics in order to identify the most common error patterns

Overcoming Therapeutic Inertia in Multiple Sclerosis Care: A Pilot Randomized Trial Applying the Traffic Light System in Medical Education

Overcoming Therapeutic Inertia in Multiple Sclerosis Care: A Pilot Randomized Trial Applying the Traffic Light System in Medical Educatio

Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles

open9In the present work a series of design rules are developed in order to tune the morphology of TiO2 nanoparticles through hydrothermal process. Through a careful experimental design, the influence of relevant process parameters on the synthesis outcome are studied, reaching to the develop predictive models by using Machine Learning methods. The models, after the validation and training, are able to predict with high accuracy the synthesis outcome in terms of nanoparticle size, polydispersity and aspect ratio. Furthermore, they are implemented by reverse engineering approach to do the inverse process, i.e. obtain the optimal synthesis parameters given a specific product characteristic. For the first time, it is presented a synthesis method that allows continuous and precise control of NPs morphology with the possibility to tune the aspect ratio over a large range from 1.4 (perfect truncated bipyramids) to 6 (elongated nanoparticles) and the length from 20 to 140 nm.openPellegrino, Francesco; Isopescu, Raluca; Pellutiè, Letizia; Sordello, Fabrizio; Rossi, Andrea M; Ortel, Erik; Martra, Gianmario; Hodoroaba, Vasile-Dan; Maurino, ValterPellegrino, Francesco; Isopescu, Raluca; Pellutiè, Letizia; Sordello, Fabrizio; Rossi, Andrea M; Ortel, Erik; Martra, Gianmario; Hodoroaba, Vasile-Dan; Maurino, Valte

Does attendance at the ECTRIMS congress impact on therapeutic decisions in multiple sclerosis care?

Continuing medical education; ECTRIMS; Behavioral economicsEducació mèdica continuada; ECTRIMS; Economia del comportamentEducación médica continuada; ECTRIMS; Economía del comportamientoConferences traditionally play an important role in the ongoing medical education of healthcare professionals. We assessed the influence of attending the ECTRIMS congress on therapeutic decision-making in multiple sclerosis (MS) care. A non-interventional, cross-sectional study involving 96 neurologists was conducted. Treatment escalation when therapeutic goals were unmet and management errors related to tolerability and safety scenarios of MS therapies were tested using different case-scenarios. Attendance at ECTRIMS was associated with an increase likelihood of treatment escalation in the presence of clinical progression (cognitive decline) and radiological activity (OR 2.44; 95% CI 1.06-5.82) and lower number of management errors (OR 0.26; 95% CI 0.07-0.98). Attendance at ECTRIMS may facilitate therapeutic decisions and reduction in management errors in MS care