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Biosimilars will soon become broadly available in the oncology field, raising important questions from both patients and healthcare providers. These questions need to be clarified upfront, in order to increase confidence in using these therapies. In this podcast, Teresa Amaral (Young Oncologist Committee member) talks to Josep Tabernero (ESMO President and Director of the Vall d'Hebron Institute of Oncology) in Barcelona about this timely topic-biosimilars in oncology.

Brief description of file entitled ‘Andrade_Rodríguez_timeframe_700participants’: A sample that comprised 700 individuals: 428 (61.1%) men and 272 (38.9%) women, of mean age 22.51 years. Two groups of 350 participants each were used to compare different sets of instructions. Brief description of file entitled ‘Andrade_Rodríguez_circumstances-of-measurement_446participants’: A sample of 446 participants: 344 (77.1%) men and 102 (22.9%) women, of mean age 15.13 years. Two groups of 223 participants each were compared according to their different circumstances of measurement, These two data files are part of a study emphasizing the need for analysis of structural equivalence before using a single self-report with more than one set of instructions, or in diverse circumstances. They support the findings reported in a scientific manuscript which is currently under review. The publication of these data files does not compromise study participants’ privacy

Funded European Union’s Horizon 2020 research and innovation programme under grant agreement No. 634429) (PARAFISHCONTROL project), Assembled transcripts obtained from raw sequence reads after RNA-seq analysis of cultured P. dicentrarchi B1, C1 and I1 strains, obtained after RNAseq of cultured ciliates. Ciliates were isolated from experimentally infected turbot and cultured for three weeks in L-15 medium with 10% FCS at 18 oC. Then, ciliates were subjected to transcriptome analysis by using RNAseq

Funded by PARAFISHCONTROL project, European Union’s Horizon 2020 research and innovation programme under grant agreement No. 634429, These files contain the annotated genes of P. dicentrarchi B1, I1 and C1 strains, obtained after RNAseq of cultured ciliates. Ciliates were isolated from experimentally infected turbot and cultured for three weeks in L-15 medium with 10% FCS at 18 oC. Then, ciliates were subjected to transcriptome analysis by using RNAseq

Dataset for Case study A (UV data)

This folder contains an annotated corpora composed by six with six different debates in their orginal languages about a variety of cultural objects related with the following historical figures. More information about this research can be found in the following papers: (i) Budzynska, K., Koszowy, M. & Pereira-Fariña, M. Associating Ethos with Objects: Reasoning from Character of Public Figures to Actions in the World. Argumentation (2021). https://doi.org/10.1007/s10503-021-09552-4; (ii) Pereira-Fariña, M. Koszowy, M. & Budzynska, K. ‘It was Never Just About the Statue’ Ethos of Historical Figures in Public Debates on Contested Cultural Objects. Discourse & Society. Fortcoming.

Dades complementàries de l'activitat didàctica titulada 'Tunísia, terra d'àmfores' emmarcada dins l'activitat cultural 'País convidat' de la Setmana de la Internacionalització de la UdG 2021

Dataset, This initial database was developed in a study of 403 patients who underwent major pulmonary resections in the Salamanca University Hospital from 1994 to 2016. We have taken patients with known survival status and a surgical procedure other than pneumonectomy. The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); and (6) Presence of complications in the surgery. The variable of mortality allows us to establish the survival of the patient. Age is obtained from the date of birth and the date of surgery. Body mass index is calculated based on the weight and size of the patient., The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); (6) Presence of complications in the surgery.