EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it)

Effects of crystallinity and temperature on fatigue crack growth behaviour of polypropylene - macroscopic considerations

Translated from Japanese (Zairyo 1988 v. 37(418) p. 807-812)Available from British Library Document Supply Centre- DSC:9022.0601(BISI-EM-Trans--359)T / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Study of fracture mechanism of class A-SMC based on acoustic emission method

55.00; Translated from Japanese (J. Soc. Mater. Sci. Jpn. 1987 v. 36(402) p. 229-235)SIGLEAvailable from British Library Document Supply Centre- DSC:9022.0601(BISI-EM--65)T / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Study of fracture mechanism of class A-SMC based on acoustic emission method

55.00; Translated from Japanese (J. Soc. Mater. Sci. Jpn. 1987 v. 36(402) p. 229-235)SIGLEAvailable from British Library Document Supply Centre- DSC:9022.0601(BISI-EM--65)T / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Chemical Emissions from Cured and Uncured 3D-Printed Ventilator Patient Circuit Medical Parts

Medical shortages during the COVID-19 pandemic saw numerous efforts to 3D print personal protective equipment and treatment supplies. There is, however, little research on the potential biocompatibility of 3D-printed parts using typical polymeric resins as pertaining to volatile organic compounds (VOCs), which have specific relevance for respiratory circuit equipment. Here, we measured VOCs emitted from freshly printed stereolithography (SLA) replacement medical parts using proton transfer reaction mass spectrometry and infrared differential absorption spectroscopy, and particulates using a scanning mobility particle sizer. We observed emission factors for individual VOCs ranging from ∼0.001 to ∼10 ng cm-3 min-1. Emissions were heavily dependent on postprint curing and mildly dependent on the type of SLA resin. Curing reduced the emission of all observed chemicals, and no compounds exceeded the recommended dose of 360 μg/d. VOC emissions steadily decreased for all parts over time, with an average e-folding time scale (time to decrease to 1/e of the starting value) of 2.6 ± 0.9 h