128 Works
Additional file 1 of Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment
Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani & Gianluca Pontone
Additional file 1. Table S1. Correlations between CNN and manual gold standard on the artifacts-free images. Table S2. Internal validation: correlations on images with artifacts for the proposed CNN and the commercial software (Circle) in respect to the manual gold standard (GT). Also, the results relevant to interobserver variability between O1 and O2 reported for comparison. Table S3. External validation: correlations between CNN and manual gold standard on images with artifacts. Figure S1. Encoder module....
Additional file 2 of Semantic interoperability: ontological unpacking of a viral conceptual model
Anna Bernasconi, Giancarlo Guizzardi, Oscar Pastor & Veda C. Storey
Additional file 2. The ontological unpacking analysis of the original VCM to produce the resulting OntoVCM.
Assessment of connectivity patterns of the marbled crab Pachygrapsus marmoratus in the Adriatic and Ionian seas through combination of genetic data and Lagrangian simulations
Lorenzo Zane, Ilaria Anna Maria Marino, Marcello Schiavina, Giorgio Aglieri, Stanislao Bevilacqua, Elisa Boscari, Leonardo Congiu, Sara Faggion, Claudia Kruschel, Chiara Papetti, Tomaso Patarnello, Marta Paterno, Emanuela Voutsinas & Paco Melià
Seascape connectivity studies, informing the level of exchange of individuals between populations, can provide extremely valuable data for marine population biology and conservation strategy definition. Here we used a multidisciplinary approach to investigate the connectivity of the marbled crab (Pachygrapsus marmoratus), a high dispersal species, in the Adriatic and Ionian basins. A combination of genetic analyses (based on 15 microsatellites screened in 314 specimens), Lagrangian simulations (obtained with a biophysical model of larval dispersal) and...
Additional file 2 of Genomic data integration and user-defined sample-set extraction for population variant analysis
Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Additional file 2. Example of transformed metadata: In this .xlsx (MS Excel) file, we list all the output metadata categories generated for each sample from the transformation of the 1KGP input datasets. The output metadata include information collected from all the four 1KGP metadata files considered. Some categories are not reported in the source metadata files—they are identified by the label manually_curated__...—and were added by the developed pipeline to store technical details (e.g., download date,...
Genomic data integration and user-defined sample-set extraction for population variant analysis
Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Abstract Background Population variant analysis is of great importance for gathering insights into the links between human genotype and phenotype. The 1000 Genomes Project established a valuable reference for human genetic variation; however, the integrative use of the corresponding data with other datasets within existing repositories and pipelines is not fully supported. Particularly, there is a pressing need for flexible and fast selection of population partitions based on their variant and metadata-related characteristics. Results Here,...
sj-docx-1-jci-10.1177_01968599231167939 - Supplemental material for Risk Narratives on Immigration During the COVID-19 Crisis in Italy: A Comparative Analysis of Facebook Posts Published by Politicians and by News media
Luca Serafini, Anita Gottlob, Francesco Pierri, Francesca Ieva & Stefano Ceri
Supplemental material, sj-docx-1-jci-10.1177_01968599231167939 for Risk Narratives on Immigration During the COVID-19 Crisis in Italy: A Comparative Analysis of Facebook Posts Published by Politicians and by News media by Luca Serafini, Anita Gottlob, Francesco Pierri, Francesca Ieva and Stefano Ceri in Journal of Communication Inquiry
Guanine crystal formation by bacteria
María Elisa Pavan, Federico Movilla, Esteban E. Pavan, Florencia Di Salvo, Nancy I. López & M. Julia Pettinari
Abstract Background Guanine crystals are organic biogenic crystals found in many organisms. Due to their exceptionally high refractive index, they contribute to structural color and are responsible for the reflective effect in the skin and visual organs in animals such as fish, reptiles, and spiders. Occurrence of these crystals in animals has been known for many years, and they have also been observed in eukaryotic microorganisms, but not in prokaryotes. Results In this work, we...
Designing as negotiating across logic multiplicity: The case of mental healthcare transformation toward co-design and co-production
Daniela Sangiorgi, Josina Vink, Michelle Farr, Gillian Mulvale & Laura WarwickAdditional file 8 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 8: Figure S1. Distribution of genes detected in scRNA-seq data of patient derived organoidswith a coverage of 1 to 5 reads for transcripts. Figure S2. Distribution of Pearson correlation values obtained by analysing unmatchedand matchedCRC PDO bulk / PDO pseudo-bulk pairs. Figure S3. CRIS classification of CRC single sample data from GSE132465, pseudo-bulk, and at scRNA-seq resolution. B) represents the distribution of CRIS distances evaluated on each single cell, grey points. Black points...
Additional file 10 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 10: Table S9. NTP-based multiCRIS classification in the bulk CRC organoids. NTP analysis has been performed on bulk PDO data identifying sample with Single-label CRIS classification, Multi-labels CRIS classification, and Not classification. For classassignmentby NTP, FDR < 0.2 was considered significant.
Additional file 10 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 10: Table S9. NTP-based multiCRIS classification in the bulk CRC organoids. NTP analysis has been performed on bulk PDO data identifying sample with Single-label CRIS classification, Multi-labels CRIS classification, and Not classification. For classassignmentby NTP, FDR < 0.2 was considered significant.
Additional file 11 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 11: Table S10a. NTP-based multiCRIS classification on scRNA-seq profiles of CRC organoids. NTP analysis has been performed on scRNA-seq PDO data identifying cell with single-label class CRIS, Multi-label classes CRIS, and not classification. For classassignmentby NTP, FDR < 0.2 was considered significant. Table S10b. NTP-based multiCRIS classification in the CRC organoids. Summary table of NTP results on total single-cell datasets and at sample levels with percentages of cells assigned, not classified, single-label CRIS...
Additional file 12 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 12: Table S11. NTP-based multiCRIS classification on pseudo-bulk CRC patients. NTP analysis has been performed on CRC patients data identifying sample with Single-label CRIS classification, Multi-labels CRIS classification, and Not classification. For classassignmentby NTP, FDR < 0.2 was considered significant.
Additional file 15 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 15: Table S14. Multi-label performance evaluations of the considered algorithm-adapted strategies on testing data, comparing their results with multi-label assignments obtained from the multiCRIS version of the NTP approach.
Additional file 14 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 14: Table S13. Single-label performance evaluations of the considered algorithms on testing data, comparing their results with the ones of the original NTP approach.
Additional file 3 of Multi-label transcriptional classification of colorectal cancer reflects tumor cell population heterogeneity
Silvia Cascianelli, Chiara Barbera, Alexandra Ambra Ulla, Elena Grassi, Barbara Lupo, Diego Pasini, Andrea Bertotti, Livio Trusolino, Enzo Medico, Claudio Isella & Marco Masseroli
Additional file 3: Table S3. Numbers and percentage of CRIS call assignments with different BH.FDR thresholds.
Additional file 2 of Genomic data integration and user-defined sample-set extraction for population variant analysis
Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Additional file 2. Example of transformed metadata: In this .xlsx (MS Excel) file, we list all the output metadata categories generated for each sample from the transformation of the 1KGP input datasets. The output metadata include information collected from all the four 1KGP metadata files considered. Some categories are not reported in the source metadata files—they are identified by the label manually_curated__...—and were added by the developed pipeline to store technical details (e.g., download date,...
Genomic data integration and user-defined sample-set extraction for population variant analysis
Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu & Marco Masseroli
Abstract Background Population variant analysis is of great importance for gathering insights into the links between human genotype and phenotype. The 1000 Genomes Project established a valuable reference for human genetic variation; however, the integrative use of the corresponding data with other datasets within existing repositories and pipelines is not fully supported. Particularly, there is a pressing need for flexible and fast selection of population partitions based on their variant and metadata-related characteristics. Results Here,...
Additional file 2 of A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
Andrea Cappozzo, Cathal McCrory, Oliver Robinson, Anna Freni Sterrantino, Carlotta Sacerdote, Vittorio Krogh, Salvatore Panico, Rosario Tumino, Licia Iacoviello, Fulvio Ricceri, Sabina Sieri, Paolo Chiodini, Gareth J. McKay, Amy Jayne McKnight, Frank Kee, Ian S. Young, Bernadette McGuinness, Eileen M. Crimmins, Thalida Em Arpawong, Rose Anne Kenny, Aisling O’Halloran, Silvia Polidoro, Giuliana Solinas, Paolo Vineis, Francesca Ieva … & Giovanni Fiorito
Additional file 2. Supplementary Tables S1, S2, and S3.
Supplementary material from \"Predicting 1-year in-stent restenosis in superficial femoral arteries through multi-scale computational modelling\"
Anna Corti, Francesco Migliavacca, Scott A. Berceli & Claudio Chiastra
In-stent restenosis in superficial femoral arteries (SFAs) is a complex, multi-factorial and multi-scale vascular adaptation process whose thorough understanding is still lacking. Multi-scale computational agent-based modelling has recently emerged as a promising approach to decipher mechanobiological mechanisms driving the arterial response to the endovascular intervention. However, the long-term arterial response has never been investigated with this approach, although being of fundamental relevance. In this context, this study investigates the 1-year post-operative arterial wall remodelling in...
Additional file 1 of Guanine crystal formation by bacteria
María Elisa Pavan, Federico Movilla, Esteban E. Pavan, Florencia Di Salvo, Nancy I. López & M. Julia Pettinari
Additional file 1: Figure S1. Crystalline aggregates in colonies from a month-old plate of A. salmonicida subsp. pectinolytica 34mel. Figure S2. Size distribution of the base of the prismatic crystals formed by 34mel grown in different conditions and by A. media.
Do We Learn From Errors? The Economic Impact of Differentiated Policy Restrictions in Italy
Francesco Scotti, Andrea Flori, Giovanni Bonaccorsi & Fabio Pammolli
This paper investigates the economic impact of the three tiers risk framework implemented in Italy against the COVID-19 pandemic during the Autumn of 2020. Exploiting a large-scale dataset encompassing daily credit card transactions mediated by a large Italian bank, we estimate a set of panel event study models to disentangle the impact of restrictions with low, medium and high stringency levels in terms of consumption reduction. We show that space-time differentiated policies tend to produce...
Supplemental Material - Novel cannulation strategy with a bidirectional cannula for distal limb perfusion during peripheral veno-arterial extracorporeal life support: A preliminary, single-centre study
Jorik Simons, Arne R Doddema, Erik PJ Körver, Michele di Mauro, Sandra Agricola, Jeroen Smets, Renske Metz, Silvia Mariani, Maria Elena De Piero, Matteo Matteucci, Jamie Romeo, Justine M. Ravaux, Walther NKA van Mook, Barend ME Mees & Roberto Lorusso
Supplemental Material for Novel cannulation strategy with a bidirectional cannula for distal limb perfusion during peripheral veno-arterial extracorporeal life support: A preliminary, single-centre study by Jorik Simons, Arne R Doddema, Erik PJ Körver, Michele di Mauro, Sandra Agricola, Jeroen Smets, Renske Metz, Silvia Mariani, Maria Elena De Piero, Matteo Matteucci, Jamie Romeo, Justine M Ravaux, Walther NKA Van Mook, Barend Mees and Roberto Lorusso in Perfusion
Additional file 1 of Guanine crystal formation by bacteria
María Elisa Pavan, Federico Movilla, Esteban E. Pavan, Florencia Di Salvo, Nancy I. López & M. Julia Pettinari
Additional file 1: Figure S1. Crystalline aggregates in colonies from a month-old plate of A. salmonicida subsp. pectinolytica 34mel. Figure S2. Size distribution of the base of the prismatic crystals formed by 34mel grown in different conditions and by A. media.
Additional file 2 of Guanine crystal formation by bacteria
María Elisa Pavan, Federico Movilla, Esteban E. Pavan, Florencia Di Salvo, Nancy I. López & M. Julia Pettinari
Additional file 2: Figure S3. ESI–MS experiment for guanine produced by 34mel. Figure S4. ESI–MS and MS/MS experiments for commercial guanine. Figure S5. 1H-NMR characterization of 34mel crystals. Figure S6. UV–vis spectra for commercial and 34mel guanine in acid solution. Additional data 1. Elemental analysis of crystals purified from 34mel.