Dataset on the environmental and social footprint of the University of the Basque Country UPV/EHU.

The organisational life cycle assessment (O-LCA) and the social organisational life cycle assessment (SO-LCA) of the University of the Basque Country UPV/EHU were conducted. The data presented in this paper support the calculation of the environmental and social footprint of the University of the Basque Country UPV/EHU for year 2016 [1], and may be used as a reference for future calculations of the environmental and social footprint of higher education institutions and other organisations. This dataset provides detailed information on the UPV/EHU and the boundaries considered; on the compilation and quantification of the life cycle inventory (LCI) -which included a transport survey conducted in summer 2018-; and on the modelling process followed for the calculation of the environmental and social footprints, based on the ecoinvent 3.3 database [2] and PSILCA-based Soca v1 add-on [3, 4], and carried out with the openLCA free software [5]. The dataset also includes the life cycle impact assessment (LCIA) results provided by the CML (baseline, 2015) [6] and ReCiPe (endpoint (H), 2008) [7] LCIA methods and post-processed social impacts provided by the Social Impacts Weighting Method [3], disaggregated by subprocesses and impact locations. Data is provided for the reference year (2016), and some aggregated data is also provided for alternative scenarios that were explored in order to check pathways to reduce social and environmental impacts of the academic activity of the UPV/EHU [1].

Impact of the COVID-19 Lockdown in a European Regional Monitoring Network (Spain): Are We Free from Pollution Episodes?

The impact of the lockdown, during the period from March to June in 2020, upon the air quality of the Basque Country in northern Spain is analyzed. The evaluation accounts for the meteorology of the period. Daily and sub-daily analysis of aerosol and ozone records show that the territory was repeatedly affected by episodes of pollutants from outer regions. Three episodes of PM10 and ten of PM2.5 were caused by transported anthropogenic European sulfates, African dust, and wildland fires. The region, with a varied orographic climatology, shows high and diverse industrial activity. Urban and interurban road traffic of the region decreased by 49% and 53%, respectively, whereas industrial activity showed a lower reduction of 20%. Consequently, the average concentrations of NO2 in the cities during the period fell to 12.4 µg·m-3 (-45%). Ozone showed up to five exceedances of the WHOAQG for the daily maximum 8-h average in both rural and urban sites, associated with transport through France and the Bay of Biscay, under periods of European blocking anticyclones. However, averages showed a moderate decrease (-11%) in rural environments, in line with the precursor reductions, and disparate changes in the cities, which reproduced the weekend effect of their historical records. The PM10 decreased less than expected (-10% and -21%, in the urban and rural environments, respectively), probably caused by the modest decrease of industrial activity around urban sites and favorable meteorology for secondary aerosol formation, which could also influence the lower changes observed in the PM2.5 (-1% and +3% at the urban and rural sites, respectively). Consequently, in a future low NOx traffic emission scenario, the inter-regional PM and ozone control will require actions across various sectors, including the industry and common pollution control strategies.

Acute elbow trauma in children: role of ultrasonography.

BACKGROUND: The diagnosis of occult elbow fracture in children is often challenging due to equivocal or negative repeated radiographic findings. OBJECTIVE: To evaluate the potential diagnostic role of US in children who have sustained elbow trauma with an elbow joint effusion but no fracture seen on initial radiographs. MATERIALS AND METHODS: The study included 14 consecutive children (age range 5-15 years) with elbow trauma whose elbow radiographs showed an effusion without fracture who underwent emergency imaging (within the first 72 h) with US and MRI. The aim of US was to demonstrate a lipohaemarthrosis in relation to a cortical fracture. MR imaging was used as the reference to differentiate fracture from bone or muscle contusions. RESULTS: In seven children US demonstrated a lipohaemarthrosis, and MRI demonstrated a cortical fracture in all these children. Conversely, among the seven children with simple haemarthrosis seen on US, MRI did not identify a cortical fracture in six and demonstrated a cortical fracture in one. CONCLUSION: Posttrauma elbow joint effusion in children is not always related to a cortical fracture. US appears to be a reliable, accurate, widely available and effective low-cost tool in these cases. The diagnostic clue is the detection of a lipohaemarthrosis in the articular recess.