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4. Essays in labour economics

Author

De Pace, Federica

Subjects
331.0943
Abstract

This thesis studies two important aspects of labour market earnings dynamics: the post-displacement earning losses experienced by high-tenure workers, and the evolution of the gender wage gap within rms linked to export activity. The rst two essays aim at understanding and quantifying the forces behind the post-displacement earning losses observed in the data. I rst introduce the main empirical and theoretical works in the literature. Then, I propose a structural model of the labour market with on the job search, in which rms are heterogeneous in productivity and workers accumulate both general and speci c skills while employed. Jobs are destroyed at an endogenous rate due to idiosyncratic productivity shocks and workers' skills depreciate during unemployment. The model is estimated via simulated method of moments using matched employer-employee data on Germany. By matching moments related to workers' mobility and wage dynamics, the model reproduces the size and persistence of the earning losses observed in the data. The key driver of the post-displacement earning losses is the interaction between the loss in speci c (mostly) and general human capital and endogenous separation. Finally, the third essay studies the e ect of rms' export activity on the gender wage gap among its workers. Using matched employer-employee data from Germany for the period between 1993 and 2007, we show that an increase in a rm's export widens the wage gap between male and female blue collar workers, while it reduces it between male and female white collars. In particular, the former e ect is stronger for workers in routine manual tasks, while the latter is driven by employees performing interactive tasks. This evidence is consistent with the hypothesis that serving foreign markets relies more on interpersonal skills, which reinforces female comparative advantage and reduces (widens) the gender wage gap in white (blue) collar occupations.

Published
2020

5. Prevalence of pulmonary embolism among patients with recent onset of dyspnea on exertion. A cross-sectional study

Author

Prandoni, Paolo, Lensing, Anthonie W.A., Prins, Martin H., Ciammaichella, Maurizio, Pirillo, Silvana, Pace, Federica, Zalunardo, Beniamino, Bottino, Fabrizio, Ageno, Walter, Muiesan, Maria L., Forlin, Marco, Depietri, Luca, Bova, Carlo, Costantini, Nicoletta, Caviglioli, Cosimo, Migliaccio, Ludovica, Noventa, Franco, Levi, Marcel, Davidson, Bruce L., and Palareti, Gualtiero

Published
2023
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8. Modeling the Underwater Sound of Floating Offshore Windfarms in the Central Mediterranean Sea.

Author

Baldachini, Marzia, Burns, Robin D. J., Buscaino, Giuseppa, Papale, Elena, Racca, Roberto, Wood, Michael A., and Pace, Federica

Subjects
UNDERWATER acoustics, SUSTAINABILITY, CLEAN energy, ACOUSTICS, WIND power plants, OFFSHORE wind power plants
Abstract

In the shift toward sustainable energy production, offshore wind power has experienced notable expansion. Several projects to install floating offshore wind farms in European waters, ranging from a few to hundreds of turbines, are currently in the planning stage. The underwater operational sound generated by these floating turbines has the potential to affect marine ecosystems, although the extent of this impact remains underexplored. This study models the sound radiated by three planned floating wind farms in the Strait of Sicily (Italy), an area of significant interest for such developments. These wind farms vary in size (from 250 MW to 2800 MW) and environmental characteristics, including bathymetry and seabed substrates. Propagation losses were modeled in one-third-octave bands using JASCO Applied Sciences' Marine Operations Noise Model, which is based on the parabolic equation method, combined with the BELLHOP beam-tracing model. Two sound speed profiles, corresponding to winter and summer, were applied to simulate seasonal variations in sound propagation. Additionally, sound from an offshore supply ship was incorporated with one of these wind farms to simulate maintenance operations. Results indicate that sound from operating wind farms could reach a broadband sound pressure level (Lp) of 100 dB re 1 µPa as far as 67 km from the wind farm. Nevertheless, this sound level is generally lower than the ambient sound in areas with intense shipping traffic. The findings are discussed in relation to local background sound levels and current guidelines and regulations. The implications for environmental management include the need for comprehensive monitoring and mitigation strategies to protect marine ecosystems from potential acoustic disturbances. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Automated classification of humpback whale (Megaptera novaeangliae) songs using hidden Markov models

Author

Pace, Federica and White, Paul

Subjects
620.2, QC Physics, QL Zoology
Abstract

Humpback whales songs have been widely investigated in the past few decades. This study proposes a new approach for the classification of the calls detected in the songs with the use of Hidden Markov Models (HMMs). HMMs have been used once before for such task but in an unsupervised algorithm with promising results. Here HMMs were trained and two models were employed to classify the calls into their component units and subunits. The results show that classification of humpback whale songs from one year to another is possible even with limited training. The classification is fully automated apart from the labelling of the training set and the input of the initial HMM prototype models. Two different models for the song structure are considered: one based on song units and one based on subunits. The latter model is shown to achieve better recognition results with a reduced need for updating when applied to a variety of recordings from different years and different geographic locations.

Published
2013

13. When Autoimmunity ‘DRESSes up’: A Case after Certolizumab Therapy

Author

Marigliano, Benedetta, primary, Rosa, Federico, primary, Internullo, Mattia, primary, Scuro, Luigi, primary, Tavanti, Andrea, primary, Del Vecchio, Lucia Rita, primary, Romagno, Francesco Paolo, primary, Schito, Maria Barbara, primary, Pace, Federica, primary, Colombo, Giovanni Maria, primary, and Guglielmelli, Emanuele, primary

Published
2022
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14. Job ladder, human capital, and the cost of job loss

Author

Audoly, Richard, De Pace, Federica, and Fella, Giulio

Subjects
J6, ddc:330, J3, human capital, J0, job loss, on-the-job search
Abstract

High-tenure workers losing their job experience a large and prolonged fall in wages and earnings. The aim of this paper is to understand and quantify the forces behind this empirical regularity. We propose a structural model of the labor market with (i) on-the-job search, (ii) general human capital, and (iii) firmspecific human capital. Jobs are destroyed at an endogenous rate due to idiosyncratic productivity shocks and the skills of workers depreciate during periods of non-employment. The model is estimated on German Social Security data. By jointly matching moments related to workers' mobility and wages, the model can replicate the size and persistence of the losses in earnings and wages observed in the data. We find that the loss of a job with a more productive employer is the primary driver of the cumulative wage losses following displacement (about 50 percent), followed by the loss of firm-specific human capital (about 30 percent).

Published
2022

16. Association Between Preexisting Versus Newly Identified Atrial Fibrillation and Outcomes of Patients With Acute Pulmonary Embolism

Author

Bikdeli, Behnood, primary, Jiménez, David, additional, del Toro, Jorge, additional, Piazza, Gregory, additional, Rivas, Agustina, additional, Fernández‐Reyes, José Luis, additional, Sampériz, Ángel, additional, Otero, Remedios, additional, Suriñach, José María, additional, Siniscalchi, Carmine, additional, Martín‐Guerra, Javier Miguel, additional, Castro, Joaquín, additional, Muriel, Alfonso, additional, Lip, Gregory Y. H., additional, Goldhaber, Samuel Z., additional, Monreal, Manuel, additional, Prandoni, Paolo, additional, Brenner, Benjamin, additional, Farge‐Bancel, Dominique, additional, Barba, Raquel, additional, Di Micco, Pierpaolo, additional, Bertoletti, Laurent, additional, Schellong, Sebastian, additional, Tzoran, Inna, additional, Reis, Abilio, additional, Bosevski, Marijan, additional, Bounameaux, Henri, additional, Malý, Radovan, additional, Verhamme, Peter, additional, Caprini, Joseph A., additional, Bui, Hanh My, additional, Adarraga, María Dolores, additional, Agud, María, additional, Aibar, Jesús, additional, Aibar, Miguel Ángel, additional, Amado, Cristina, additional, Arcelus, Juan Ignacio, additional, Baeza, Carlos, additional, Ballaz, Aitor, additional, Barbagelata, Cristina, additional, Barrón, Manuel, additional, Barrón‐Andrés, Belén, additional, Blanco‐Molina, Ángeles, additional, Botella, Ernesto, additional, Camon, Ana María, additional, Cañas, Inmaculada, additional, Casado, Ignacio, additional, Chasco, Leyre, additional, Criado, Juan, additional, de Ancos, Cristina, additional, de Miguel, Javier, additional, Demelo‐Rodríguez, Pablo, additional, Díaz‐Peromingo, José Antonio, additional, Di Campli, Mario Virgilio, additional, Díez‐Sierra, Javier, additional, Domínguez, Irene Milagros, additional, Escribano, José Carlos, additional, Falgá, Conxita, additional, Farfán‐Sedano, Ana Isabel, additional, Fernández‐Capitán, Carmen, additional, Fernández‐Reyes, Jose Luis, additional, Fidalgo, María Ángeles, additional, Flores, Katia, additional, Font, Carme, additional, Font, Llorenç, additional, Francisco, Iria, additional, Gabara, Cristina, additional, Galeano‐Valle, Francisco, additional, Galindo, David, additional, García, María Angelina, additional, García‐Bragado, Ferrán, additional, García de Herreros, Marta, additional, García‐Hernáez, Raquel, additional, García‐Mullor, María Mar, additional, García‐Raso, Arantxa, additional, Gavín‐Sebastián, Olga, additional, Gil‐Díaz, Aida, additional, Gómez‐Cuervo, Covadonga, additional, Grau, Enric, additional, Guirado, Leticia, additional, Gutiérrez, Javier, additional, Hernández‐Blasco, Luis, additional, Hernando, Elena, additional, Herreros, Miguel, additional, Jara‐Palomares, Luis, additional, Jaras, María Jesús, additional, Jiménez, Rafael, additional, Joya, Maria Dolores, additional, León, José Manuel, additional, Lima, Jorge, additional, Llamas, Pilar, additional, Lobo, José Luis, additional, López‐Jiménez, Luciano, additional, López‐Miguel, Patricia, additional, López‐Núñez, Juan José, additional, López‐Reyes, Raquel, additional, López‐Ruiz, Antonio, additional, López‐Sáez, Juan Bosco, additional, Lorenzo, Alicia, additional, Madridano, Olga, additional, Maestre, Ana, additional, Marchena, Pablo Javier, additional, Martín del Pozo, Mar, additional, Martín‐Martos, Francisco, additional, Mella, Carmen, additional, Mellado, Meritxell, additional, Mercado, Maria Isabel, additional, Moisés, Jorge, additional, del Valle Morales, María, additional, Muñoz‐Blanco, Arturo, additional, Muñoz‐Rivas, Nuria, additional, Navas, María Sierra, additional, Nieto, Jose Antonio, additional, Núñez‐Fernández, Manuel Jesús, additional, Obispo, Berta, additional, Olid, Mónica, additional, Olivares, María Carmen, additional, Orcastegui, José Luis, additional, Ortega‐Michel, Clara, additional, Osorio, Jeisson, additional, Otalora, Sonia, additional, Parra, Pedro, additional, Parra, Virginia, additional, Pedrajas, José María, additional, Pellejero, Galadriel, additional, Porras, José Antonio, additional, Portillo, José, additional, Riera‐Mestre, Antoni, additional, Rivera‐Civico, Francisco, additional, Rodríguez‐Chiaradía, Diego Agustín, additional, Rodríguez‐Cobo, Ana, additional, Rodríguez‐Matute, Consolación, additional, Rogado, Jacobo, additional, Roig, Sonia, additional, Rosa, Vladimir, additional, Ruiz‐Artacho, Pedro, additional, Ruiz‐Giménez, Nuria, additional, Ruiz‐Ruiz, Justo, additional, Ruiz‐Sada, Pablo, additional, Salgueiro, Giorgina, additional, Sánchez‐Martínez, Rosario, additional, Sánchez‐Muñoz‐Torrero, Juan Francisco, additional, Sancho, Teresa, additional, Sirisi, Merçe, additional, Soler, Silvia, additional, Tirado, Raimundo, additional, Torres, María Isabel, additional, Tolosa, Carles, additional, Trujillo‐Santos, Javier, additional, Uresandi, Fernando, additional, Valero, Beatriz, additional, Valle, Reina, additional, Vela, Jerónimo Ramón, additional, Vidal, Gemma, additional, Villares, Paula, additional, Zamora, Carles, additional, Gutiérrez, Paula, additional, Vázquez, Fernando Javier, additional, Engelen, Matthias, additional, Vanassche, Thomas, additional, Hirmerova, Jana, additional, Salgado, Estuardo, additional, Ait Abdallah, Nassim, additional, Bura‐Riviere, Alessandra, additional, Crichi, Benjamin, additional, Debourdeau, Philippe, additional, Olivier, Espitia, additional, Falvo, Nicolas, additional, Galliazzo, Silvia, additional, Helfer, Hélène, additional, Mahé, Isabelle, additional, Moustafa, Farès, additional, Poenou, Geraldine, additional, Braester, Andrei, additional, Bilora, Franca, additional, Bucherini, Eugenio, additional, Ciammaichella, Maurizio, additional, Imbalzano, Egidio, additional, Maida, Rosa, additional, Mastroiacovo, Daniela, additional, Pace, Federica, additional, Pesavento, Raffaele, additional, Pomero, Fulvio, additional, Quintavalla, Roberto, additional, Rocci, Anna, additional, Romualdi, Roberta, additional, Tufano, Antonella, additional, Visonà, Adriana, additional, Zalunardo, Beniamino, additional, Gibietis, Valdis, additional, Kigitovica, Dana, additional, Skride, Andris, additional, Fonseca, Samuel, additional, Martins, Filipa, additional, Meireles, Jose, additional, Mazzolai, Lucia, additional, Bikdeli, Behnood, additional, Tafur, Alfonso J., additional, Ochoa‐Chaar, Cassius Iyad, additional, Weinberg, Ido, additional, and Wilkins, Hannah, additional

Published
2021
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17. Export, female comparative advantage and the gender wage gap

Author

Bonfiglioli, Alessandra and De Pace, Federica

Subjects
J16, Comparative Advantage, F16, Employer-employee Data, ddc:330, Trade, Gender Wage Gap, J31, health care economics and organizations
Abstract

This paper studies the effect of firms'export activity on the gender wage gap among its workers. Using matched employer-employee data from Germany for the period be- tween 1993 and 2007, we show that an increase in a firm's export widens the wage gap between male and female blue-collar workers, while it reduces it between male and female white collars. In particular, the former effect is stronger for workers in routine manual tasks, while the latter is driven by employees performing interactive tasks. This evidence is consistent with the hypothesis that serving foreign markets relies more on in- terpersonal skills, which reinforces female comparative advantage and reduces (widens) the gender wage gap in white-collar (blue-collar) occupations. Our results, identified out of the variation in wages within firm-worker pairs, are robust to controlling for a series of worker and firm characteristics, and a host of firm, sector, time and state fixed effects, and heterogeneous trends.

Published
2021

20. Prediction of early mortality in patients with cancer-associated thrombosis in the rIete Database

Author

Fuentes, Harry E., Tafur, Alfonso J., Caprini, Joseph A., Alatri, Adriano, Trujillo-santos, Javier, Farge-bancel, Dominique, Rosa, Vladimir, Font, Llorenc, Vilaseca, Alicia, Monreal, Manuel, Adarraga, Maria D., Aibar, Miguel A., Aibar, Jesus, Amado, Cristina, Aranda, Carlos, Arcelus Juan, I, Ballaz, Aitor, Barba, Raquel, Barillari, Giovanni, Barron, Manuel, Barron-Andres, Belen, Bascunana, Jose, Benzidia, Ilham, Bertoletti, Laurent, Blanco-Molina, Angeles, Bilora, Franca, Bortoluzzi, Cristiano, Bosevski, Marijan, Bounameaux, Henri, Braester, Andrei, Brandolin, Barbara, Brenner, Benjamin, Bucherini, Eugenio, Hanh My Bui, Bura-Riviere, Alessandra, Camon, Ana M., Carrasco, Cristina, Castro, Joaquin, Cesta, Alisia, Ciammaichella, Maurizio, Cruz, Javier A., de Ancos, Cristina, del Toro, Jorge, Demelo, Pablo, Dentali, Francesco, del Carmen Diaz-pedroche, Maria, Diaz-Peromingo, Jose A., Di Micco, Pierpaolo, Di Pangrazio, Marco, Ellis, Martin, Encabo, Marta, Falga, Conxita, Falvo, Nicolas, Farfan Ana, Fernandez-Capitan, Carmen, Angeles Fidalgo, Maria, Font, Carme, Fresa, Marco, Furest, Ildefonso, Garcia, Maria A., Garcia-Braoado, Ferran, Garcia-Morillo, Marcia, Garcia-Raso, Aranzazu, Gavin, Olga, Gil-Diaz, Aida, Gomez, Vicente, Gomez-Cuervo, Covadonga, Gonzalez-Martinez, Jose, Grandone, Elvira, Grau, Enric, Guijarro, Ricardo, Gutierrez, Javier, Gutierrez, Paula, Hernandez-Blasco, Luis, Hu, Adrian, Hirmerova, Jana, Imbalzano, Egidio, Jara-Palomares, Luis, Jaras, Maria J., Jimenez, David, Jou, Ines, Joya, Maria D., Krstevski, Gorjan, Lessiani, Gianfranco, Lima, Jorge, Llamas, Pilar, Lobo, Jose L., Lopez-Jimenez, Luciano, Lopez-Miguel, Patricia, Lopez-Nunez, Juan J., Lopez-Reyes, Raquel, Lopez-Saez, Juan B., Lorente, Manuel A., Lorenzo, Alicia, Loring, Monica, Lumbierres, Marina, Mahe, Isabelle, Maida, Rosa, Maly, Radovan, Manrique-Abos, Isabel, Marchena, Pablo J., Martin-Fernandez, Miguel, Martin-Guerra, Javier M., Martin-Romero, Miguel, Mastroiacovo, Danicla, Mazzolai, Lucia, Mellado, Meritxell, Merah, Adel, del Valle Morales, Maria, Moustafa, Fares, Ney, Barbara, Nieto, Jose A., Nunez, Manuel J., del Carmen Olivares, Maria, Otalora, Sonia, Otero, Remedios, Pace, Federica, Parisi, Roberto, Pedrajas, Jose Maria, Pellejero, Galadriel, Perez-Ductor, Cristina, Perez-Jacoiste, Asuncion, Perez-Rus, Gloria, Peris, Maria L., Pesavento, Raffaele, Pesce, Maria L., Porras, Jose A., Prandoni, Paolo, Quinta-Valla, Roberto, Riesco, David, Rivas, Agustina, Rocci, Anna, Rodriguez-Davila, Maria A., Rodriguez-Hernandez, Adela, Rubio, Carmen M., Ruiz-Alcaraz, Sandra, Ruiz-Artacho, Pedro, Ruiz-Ruiz, Justo, Ruiz-Sada, Pablo, Ruiz-Torregrosa, Paloma, Sahuquillo, Joan C., Sala-Sainz, Carmen, Salgado, Estuardo, Samperiz, Angel, Sanchez-Munoz-Torrero, Juan F., Sancho, Teresa, Sanoja, Indra D., Siniscalchi, Carmine, Skride, Andris, Soler, Silvia, Sotgiu, Pietro, Soto, Maria J., Surinach, Jose M., Tiraferri, Eros, Tonello, Diego, Torres Maria, Tufano, Antonella, Tzoran, Inns, Uresandi, Fernando, Usandizaga, Esther, Valle, Reins, Vanassche, Thomas, Vandenbriele, Christophe, Vazquez, Fernando J., Verhamme, Peter, Villalobos, Aurora, Visona, Adriana, Ngoc Vo Hong, Yoo, Hugo H., Zdraveska, Marija, Fuentes, Harry E., Tafur, Alfonso J., Caprini, Joseph A., Alatri, Adriano, Trujillo-santos, Javier, Farge-bancel, Dominique, Rosa, Vladimir, Font, Llorenc, Vilaseca, Alicia, Monreal, Manuel, Adarraga, Maria D., Aibar, Miguel A., Aibar, Jesu, Amado, Cristina, Aranda, Carlo, Arcelus, Juan, I, Ballaz, Aitor, Barba, Raquel, Barillari, Giovanni, Barron, Manuel, Barron-Andres, Belen, Bascunana, Jose, Benzidia, Ilham, Bertoletti, Laurent, Blanco-Molina, Angele, Bilora, Franca, Bortoluzzi, Cristiano, Bosevski, Marijan, Bounameaux, Henri, Braester, Andrei, Brandolin, Barbara, Brenner, Benjamin, Bucherini, Eugenio, Hanh My, Bui, Bura-Riviere, Alessandra, Camon, Ana M., Carrasco, Cristina, Castro, Joaquin, Cesta, Alisia, Ciammaichella, Maurizio, Cruz, Javier A., de Ancos, Cristina, del Toro, Jorge, Demelo, Pablo, Dentali, Francesco, del Carmen Diaz-pedroche, Maria, Diaz-Peromingo, Jose A., Di Micco, Pierpaolo, Di Pangrazio, Marco, Ellis, Martin, Encabo, Marta, Falga, Conxita, Falvo, Nicola, Farfan, Ana, Fernandez-Capitan, Carmen, Angeles Fidalgo, Maria, Font, Carme, Fresa, Marco, Furest, Ildefonso, Garcia, Maria A., Garcia-Braoado, Ferran, Garcia-Morillo, Marcia, Garcia-Raso, Aranzazu, Gavin, Olga, Gil-Diaz, Aida, Gomez, Vicente, Gomez-Cuervo, Covadonga, Gonzalez-Martinez, Jose, Grandone, Elvira, Grau, Enric, Guijarro, Ricardo, Gutierrez, Javier, Gutierrez, Paula, Hernandez-Blasco, Lui, Hu, Adrian, Hirmerova, Jana, Imbalzano, Egidio, Jara-Palomares, Lui, Jaras, Maria J., Jimenez, David, Jou, Ine, Joya, Maria D., Krstevski, Gorjan, Lessiani, Gianfranco, Lima, Jorge, Llamas, Pilar, Lobo, Jose L., Lopez-Jimenez, Luciano, Lopez-Miguel, Patricia, Lopez-Nunez, Juan J., Lopez-Reyes, Raquel, Lopez-Saez, Juan B., Lorente, Manuel A., Lorenzo, Alicia, Loring, Monica, Lumbierres, Marina, Mahe, Isabelle, Maida, Rosa, Maly, Radovan, Manrique-Abos, Isabel, Marchena, Pablo J., Martin-Fernandez, Miguel, Martin-Guerra, Javier M., Martin-Romero, Miguel, Mastroiacovo, Danicla, Mazzolai, Lucia, Mellado, Meritxell, Merah, Adel, del Valle Morales, Maria, Moustafa, Fare, Ney, Barbara, Nieto, Jose A., Nunez, Manuel J., del Carmen Olivares, Maria, Otalora, Sonia, Otero, Remedio, Pace, Federica, Parisi, Roberto, Pedrajas, Jose Maria, Pellejero, Galadriel, Perez-Ductor, Cristina, Perez-Jacoiste, Asuncion, Perez-Rus, Gloria, Peris, Maria L., Pesavento, Raffaele, Pesce, Maria L., Porras, Jose A., Prandoni, Paolo, Quinta-Valla, Roberto, Riesco, David, Rivas, Agustina, Rocci, Anna, Rodriguez-Davila, Maria A., Rodriguez-Hernandez, Adela, Rubio, Carmen M., Ruiz-Alcaraz, Sandra, Ruiz-Artacho, Pedro, Ruiz-Ruiz, Justo, Ruiz-Sada, Pablo, Ruiz-Torregrosa, Paloma, Sahuquillo, Joan C., Sala-Sainz, Carmen, Salgado, Estuardo, Samperiz, Angel, Sanchez-Munoz-Torrero, Juan F., Sancho, Teresa, Sanoja, Indra D., Siniscalchi, Carmine, Skride, Andri, Soler, Silvia, Sotgiu, Pietro, Soto, Maria J., Surinach, Jose M., Tiraferri, Ero, Tonello, Diego, Torres, Maria, Tufano, Antonella, Tzoran, Inn, Uresandi, Fernando, Usandizaga, Esther, Valle, Rein, Vanassche, Thoma, Vandenbriele, Christophe, Vazquez, Fernando J., Verhamme, Peter, Villalobos, Aurora, Visona, Adriana, Ngoc Vo, Hong, Yoo, Hugo H., and Zdraveska, Marija

Subjects
Adult, Male, Internationality, Adolescent, Population, 030204 cardiovascular system & hematology, 030230 surgery, computer.software_genre, Logistic regression, Risk Assessment, Cohort Studies, Young Adult, 03 medical and health sciences, Mortality, Neoplasms, Premature, Thrombosis, 0302 clinical medicine, Predictive Value of Tests, Risk Factors, Humans, Medicine, Registries, Child, education, Aged, education.field_of_study, Framingham Risk Score, Database, business.industry, Infant, Newborn, Infant, Venous Thromboembolism, Odds ratio, Middle Aged, medicine.disease, Pulmonary embolism, Logistic Models, Child, Preschool, Predictive value of tests, Multivariate Analysis, Female, Cardiology and Cardiovascular Medicine, Risk assessment, business, computer, Cohort study
Abstract

BACKGROUND: Proper risk stratification of patients for early mortality after cancer-associated thrombosis may lead to personalized anticoagulation protocols. Therefore, we aimed to derive and validate a scoring system to predict early mortality in this population. To this end, we selected patients with active cancer and thrombosis from the Computerized Registry of Patients with Venous Thromboembolism database. METHODS: The main outcome was all cause mortality within the month following a thrombotic event. We used a simple random selection to split are data in a derivation and a validation cohort. In the derivation cohort, we used recursive partitioning and binary logistic regression to identify groups at risk and to determine the likelihood of the primary outcome. The risk score was developed based on odds ratios from the final multivariate model, and then tested in the validation cohort. RESULTS: In 10,025 eligible patients, we identified 6 predictors of 30-day mortality: leukocytosis =11.5x109/L; platelet count =160x109/L, metastasis, recent immobility, initial presentation as pulmonary embolism and Body Mass Index

Published
2019

21. Patient-Level, Institutional, and Temporal Variations in Use of Imaging Modalities to Confirm Pulmonary Embolism

Author

Mehdipoor, Ghazaleh, primary, Jimenez, David, additional, Bertoletti, Laurent, additional, Fidalgo, Ángeles, additional, Sanchez Muñoz-Torrero, Juan Francisco, additional, Gonzalez-Martinez, José Pedro, additional, Blanco-Molina, Ángeles, additional, Ángel Aibar, Miguel, additional, Bonnefoy, Pierre-Benoît, additional, Khorasani, Ramin, additional, Prince, Martin R., additional, Bikdeli, Behnood, additional, Monreal, Manuel, additional, Adarraga, María Dolores, additional, Agud, María, additional, Azcarate-Agüero, Pedro, additional, Aibar, Jesús, additional, Alfonso, Joaquín, additional, Amado, Cristina, additional, Ignacio Arcelus, Juan, additional, Ballaz, Aitor, additional, Barba, Raquel, additional, Barrón, Cristina Barbagelata, Manuel, additional, Barrón-Andrés, Belén, additional, Camon, Ana María, additional, Cañas, Inmaculada, additional, Criado, Juan, additional, Ancos, Cristina de, additional, Miguel, Javier de, additional, del Toro, Jorge, additional, Demelo-Rodríguez, Pablo, additional, Díaz-Pedroche, Carmen, additional, Díaz-Peromingo, José Antonio, additional, Díaz-Simón, Raquel, additional, Díez-Sierra, Javier, additional, Milagros Domínguez, Irene, additional, Escribano, José Carlos, additional, Farfán, Ana Isabel, additional, Fernández-Capitán, Carmen, additional, Fernández-Reyes, José Luis, additional, Flores, Katia, additional, Font, Carme, additional, Font, Llorenç, additional, Francisco, Iria, additional, Gabara, Cristina, additional, Galeano-Valle, Francisco, additional, Ángeles García, María, additional, García-Bragado, Ferran, additional, García-García, María, additional, García-Raso, Aránzazu, additional, Gavín-Blanco, Olga, additional, Gavín-Sebastián, Olga, additional, Carmen Gayol, María, additional, Gil-Díaz, Aída, additional, Gómez-Cuervo, Covadonga, additional, Grau, Enric, additional, Gutiérrez-Guisado, Javier, additional, Hernández-Blasco, Luis, additional, Iglesias, Marina, additional, Jara-Palomares, Luis, additional, Jesús Jaras, María, additional, Joya, María Dolores, additional, Jou, Inés, additional, Lacruz, Beatriz, additional, Lalueza, Antonio, additional, Lecumberri, Ramón, additional, Lima, Jorge, additional, Llamas, Pilar, additional, Luis Lobo, José, additional, López-Jiménez, Luciano, additional, López-Miguel, Patricia, additional, José López-Núñez, Juan, additional, López-Reyes, Raquel, additional, Bosco López-Sáez, Juan, additional, Alejandro Lorente, Manuel, additional, Lorenzo, Alicia, additional, Loring, Mónica, additional, Lumbierres, Marina, additional, Madridano, Olga, additional, Maestre, Ana, additional, Javier Marchena, Pablo, additional, Martín-Fernández, Miguel, additional, Miguel Martín-Guerra, Javier, additional, Martín-Martos, Francisco, additional, Mellado, Meritxel, additional, Mercado, María Isabel, additional, Moisés, Jorge, additional, del Valle Morales, María, additional, Muñoz-Blanco, Arturo, additional, Muñoz-Guglielmetti, Diego, additional, Antonio Nieto, José, additional, Jesús Núñez, Manuel, additional, Ortega-Michel, María Carmen Olivares, Clara, additional, Dolores Ortega-Recio, María, additional, Osorio, Jeisson, additional, Otero, Remedios, additional, Paredes, Diana, additional, Parra, Pedro, additional, Parra, Virginia, additional, Pedrajas, José María, additional, Pellejero, Galadriel, additional, Pérez-Ductor, Cristina, additional, Asunción Pérez-Jacoíste, María, additional, Pesántez, David, additional, Porras, José Antonio, additional, Portillo, José, additional, Reig, Lluis, additional, Riera-Mestre, Antoni, additional, Rivas, Agustina, additional, Rodríguez-Cobo, Ana, additional, Rodríguez-Galán, Irene, additional, Rodríguez-Matute, Consolación, additional, Rosa, Vladimir, additional, María Rubio, Carmen, additional, Ruiz-Artacho, Pedro, additional, Ruiz-Giménez, Nuria, additional, Ruiz-Ruiz, Justo, additional, Ruiz-Sada, Pablo, additional, Ruiz-Torregrosa, Paloma, additional, Carles Sahuquillo, Joan, additional, Salgueiro, Giorgina, additional, Sampériz, Ángel, additional, Sancho, Teresa, additional, Soler, Silvia, additional, Suárez, Susana, additional, María Suriñach, José, additional, Tiberio, Gregorio, additional, Isabel Torres, María, additional, Tolosa, Carlos, additional, Trujillo-Santos, Javier, additional, Uresandi, Fernando, additional, Usandizaga, Esther, additional, Valle, Reina, additional, Ramón Vela, Jeronimo, additional, Vidal, Gemma, additional, Villares, Paula, additional, Zamora, Carles, additional, Gutiérrez, Paula, additional, Javier Vázquez, Fernando, additional, Vanassche, Thomas, additional, Vandenbriele, Christophe, additional, Verhamme, Peter, additional, Hirmerova, Jana, additional, Malý, Radovan, additional, Salgado, Estuardo, additional, Benzidia, Ilham, additional, Bura-Riviere, Alessandra, additional, Crichi, Benjamin, additional, Debourdeau, Philippe, additional, Farge-Bancel, Dominique, additional, Helfer, Hélène, additional, Mahé, Isabelle, additional, Moustafa, Farès, additional, Poenou, Geraldine, additional, Schellong, Sebastian, additional, Braester, Andrei, additional, Brenner, Benjamin, additional, Tzoran, Inna, additional, Amitrano, María, additional, Bilora, Franca, additional, Bortoluzzi, Cristiano, additional, Brandolin, Barbara, additional, Bucherini, Eugenio, additional, Ciammaichella, Maurizio, additional, Colaizzo, Donatella, additional, Dentali, Francesco, additional, Micco, Pierpaolo Di, additional, Giammarino, Eliana, additional, Grandone, Elvira, additional, Maggi, Fabio, additional, Mangiacapra, Sara, additional, Mastroiacovo, Daniela, additional, Maida, Rosa, additional, Pace, Federica, additional, Pesavento, Raffaele, additional, Pomero, Fulvio, additional, Prandoni, Paolo, additional, Quintavalla, Roberto, additional, Rocci, Anna, additional, Siniscalchi, Carmine, additional, Tiraferri, Eros, additional, Tufano, Antonella, additional, Visonà, Adriana, additional, Hong, Ngoc Vo, additional, Zalunardo, Beniamino, additional, Kalejs, Roberts V., additional, Kigitovica, Dana, additional, Skride, Andris, additional, Ferreira, Melanie, additional, Meireles, Jose, additional, Reis, Abilio, additional, Bosevski, Marijan, additional, Krstevski, Gorjan, additional, Zdraveska, Marija, additional, Bounameaux, Henri, additional, Mazzolai, Lucia, additional, Caprini, Joseph A., additional, Tafur, Alfonso J., additional, Weinberg, Ido, additional, Wilkins, Hannah, additional, and My Bui, Hanh, additional

Published
2020
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22. Comparison of seven prognostic tools to identify low-risk pulmonary embolism in patients aged <50 years

Author

Jara-Palomares, Luis, Alfonso, Maria, Maestre, Ana, Jimenez, David, Garcia-Bragado, Fernando, Font, Carme, Lopez Reyes, Raquel, Hernandez Blasco, Luis, Vidal, Gemma, Otero, Remedios, Monreal, Manuel, Adarraga, Ma Dolores, Angel Aibar, Miguel, Aibar, Jesus, Amado, Cristina, Ignacio Arcelus, Juan, Ballaz, Aitor, Barba, Raquel, Barron, Manuel, Barron-Andres, Belen, Bascunana, Jose, Blanco-Molina, Angeles, Maria Camon, Ana, Canas, Inmaculada, Carrasco, Cristina, Castro, Joaquin, de Ancos, Cristina, Del Toro, Jorge, Demelo, Pablo, Antonio Diaz-Peromingo, Jose, Diaz-Simon, Raquel, Falga, Conxita, Isabel Farfan, Ana, Fernandez-Capitan, Carmen, Del Carmen Fernandez-Criado, Maria, Fernandez-Nunez, Sandra, Fidalgo, Angeles, Font, Llorenc, Angelina Garcia, Maria, Garcia-Morillo, Marcial, Garcia-Raso, Aranzzu, Gavin-Sebastian, Olga, del Carmen Gayol, Maria, Gil-Diaz, Aida, Gomez, Vicente, Gomez-Cuervo, Covadonga, Gonzalez-Martinez, Jose, Grau, Enric, Gutierrez, Javier, Gutierrez-Gonzalez, Sara, Iglesias, Marina, Jaras, Ma Jesus, Jou, Ines, Dolores Joya, Maria, Lalueza, Antonio, Lima, Jorge, Llamas, Pilar, Luis Lobo, Jose, Lopez-Jimenez, Luciano, Lopez-Miguel, Patricia, Jose Lopez-Nunez, Juan, Bosco Lopez-Saez, Juan, Alejandro Lorente, Manuel, Lorenzo, Alicia, Loring, Monica, Madridano, Olga, Javier Marchena, Pablo, Miguel Martin, Javier, Mellado, Meritxell, del Valle Morales, Ma, Luisa Nieto, Maria, Antonio Nieto, Jose, Jesus Nunez, Manuel, Carmen Olivares, Maria, Maria Pedrajas, Jose, Pellejero, Galadriel, Prez-Rus, Gloria, Peris, Ma Luisa, Antonio Porras, Jose, Rivas, Agustina, Angeles Rodriguez-Davila, Ma, Adela Rodriguez-Hernandez, A, Rubio, Carmen Ma, Ruiz-Artacho, Pedro, Ruiz-Ruiz, Justo, Ruiz-Sada, Pablo, Carles Sahuquillo, Joan, Salazar, Vladimir, Samperiz, Angel, Sanchez Munoz-Torrero, Juan Francisco, Sancho, Teresa, Soler, Silvia, Maria Surinach, Jose, Tapia, Elena, Tolosa, Caries, Isabel Torres, Maria, Trujillo-Santos, Javier, Uresandi, Fernando, Valle, Reina, Villares, Paula, Gutierrez, Paula, Javier Vazquez, Fernando, Vilaseca, Alicia, Vanassche, Thomas, Vandenbriele, Christophe, Verhamme, Peter, Hirmerova, Jana, Maly, Radovan, Celis, Gregory, del Pozo, Gustavo, Salgado, Estuardo, Benzidia, Ilham, Bertoletti, Laurent, Bura-Riviere, Alessandra, Debourdeau, Philippe, Farge-Bancel, Dominique, Hij, Adrian, Mahe, Isabelle, Moustafa, Fares, Schellong, Sebastian, Braester, Andrei, Brenner, Benjamin, Tzoran, Inna, Sharif-Kashani, Babak, Barillari, Giovanni, Bilora, Franca, Bortoluzzi, Cristiano, Brandolin, Barbara, Bucherini, Eugenio, Ciammaichella, Maurizio, Dentali, Francesco, Di Micco, Pierpaolo, Maida, Rosa, Mastroiacovo, Daniela, Mumoli, Nicola, Pace, Federica, Parisi, Roberto, Pesavento, Raffaelle, Prandoni, Paolo, Quintavalla, Roberto, Rocci, Anna, Romualdi, Roberta, Sinicalchi, Carmine, Tufano, Antonella, Visona, Adriana, Hong, Ngoc Vo, Zalunardo, Beniamino, Gibietis, Valdis, Kigitovica, Dana, Skride, Andris, Bosevski, Marijan, Bounameaux, Henri, Mazzolai, Lucia, Caprini, Joseph A, Hanh, My Bui, Khanh, Quoc Pham, Reis, Abilio, UCH. Departamento de Medicina (Extinguido), Producción Científica UCH 2019, UCH. Departamento de Medicina y Cirugía, Sanofi España, Bayer, Sociedad Española de Neumología y Cirugía Torácica, Jara-Palomares, L., Alfonso, M., Maestre, A., Jimenez, D., Garcia-Bragado, F., Font, C., Reyes, R. L., Blasco, L. H., Vidal, G., Otero, R., Monreal, M., Adarraga, M. ªD., Aibar, M. A., Aibar, J., Amado, C., Arcelus, J. I., Ballaz, A., Barba, R., Barron, M., Barron-Andres, B., Bascunana, J., Blanco-Molina, A., Camon, A. M., Canas, I., Carrasco, C., Castro, J., de Ancos, C., Del Toro, J., Demelo, P., Diaz-Peromingo, J. A., Diaz-Simon, R., Falga, C., Farfan, A. I., Fernandez-Capitan, C., del Carmen Fernandez-Criado, M., Fernandez-Nunez, S., Fidalgo, A., Font, L., Garcia, M. A., Garcia-Morillo, M., Garcia-Raso, A., Gavin-Sebastian, O., del Carmen Gayol, M., Gil-Diaz, A., Gomez, V., Gomez-Cuervo, C., Gonzalez-Martinez, J., Grau, E., Gutierrez, J., Gutierrez-Gonzalez, S., Iglesias, M., Jaras, M. ªJ., Jou, I., Joya, M. D., Lalueza, A., Lima, J., Llamas, P., Lobo, J. L., Lopez-Jimenez, L., Lopez-Miguel, P., Lopez-Nunez, J. J., Lopez-Saez, J. B., Lorente, M. A., Lorenzo, A., Loring, M., Madridano, O., Marchena, P. J., Martin, J. M., Mellado, M., Morales, M. ªV., Nieto, M. L., Nieto, J. A., Nunez, M. J., Olivares, M. C., Pedrajas, J. M., Pellejero, G., Perez-Rus, G., Peris, M. ªL., Porras, J. A., Rivas, A., Rodriguez-Davila, M. ªA., Adela Rodriguez-Hernandez, A., Rubio, C. M., Ruiz-Artacho, P., Ruiz-Ruiz, J., Ruiz-Sada, P., Sahuquillo, J. C., Salazar, V., Samperiz, A., Munoz-Torrero, J. F. S., Sancho, T., Soler, S., Surinach, J. M., Tapia, E., Tolosa, C., Torres, M. I., Trujillo-Santos, J., Uresandi, F., Valle, R., Villares, P., Gutierrez, P., Vazquez, F. J., Vilaseca, A., Vanassche, T., Vandenbriele, C., Verhamme, P., Hirmerova, J., Maly, R., Celis, G., del Pozo, G., Salgado, E., Benzidia, I., Bertoletti, L., Bura-Riviere, A., Debourdeau, P., Farge-Bancel, D., Hij, A., Mahe, I., Moustafa, F., Schellong, S., Braester, A., Brenner, B., Tzoran, I., Sharif-Kashani, B., Barillari, G., Bilora, F., Bortoluzzi, C., Brandolin, B., Bucherini, E., Ciammaichella, M., Dentali, F., Di Micco, P., Maida, R., Mastroiacovo, D., Mumoli, N., Pace, F., Parisi, R., Pesavento, R., Prandoni, P., Quintavalla, R., Rocci, A., Romualdi, R., Sinicalchi, C., Tufano, A., Visona, A., Hong, N. V., Zalunardo, B., Gibietis, V., Kigitovica, D., Skride, A., Bosevski, M., Bounameaux, H., Mazzolai, L., Caprini, J. A., Bui, H. M., Pham, K. Q., and Reis, A.

Subjects
PREDICTION, Embolism, Aparato circulatorio - Enfermedades - Pronóstico, Cardiovascular system - Diseases - Prognosis, lcsh:Medicine, 030204 cardiovascular system & hematology, 0302 clinical medicine, Retrospective Studie, Risk Factors, 030212 general & internal medicine, lcsh:Science, INDEX, education.field_of_study, Multidisciplinary, Middle Aged, Prognosis, Predictive value, Pulmonary embolism, Multidisciplinary Sciences, DERIVATION, Science & Technology - Other Topics, Major bleeding, Human, medicine.medical_specialty, ANTITHROMBOTIC THERAPY, Disease-free survival, Prognosi, Population, DIAGNOSIS, VALIDATION, Article, 03 medical and health sciences, STRATIFICATION, Thromboembolism, Internal medicine, medicine, Humans, In patient, education, Retrospective Studies, OLDER, VENOUS THROMBOEMBOLISM, Science & Technology, business.industry, Risk Factor, lcsh:R, CLINICAL PRESENTATION, Retrospective cohort study, medicine.disease, Embolia pulmonar - Pronóstico, Shock index, Pulmonary embolism - Prognosis, Spain, lcsh:Q, business, Pulmonary Embolism
Abstract

The RIETE investigators., In young patients with acute pulmonary embolism (PE), the predictive value of currently available prognostic tools has not been evaluated. Our objective was to compare prognostic value of 7 available tools (GPS, PESI, sPESI, Prognostic Algorithm, PREP, shock index and RIETE) in patients aged, This study received funding: SEPAR (1/2016) grupo GeCIR. We express our gratitude to Sanofi Spain for supporting this Registry with an unrestricted educational grant. We also wish to thank Bayer Pharma AG for supporting this Registry. Bayer Pharma AG’s support was limited to the part of RIETE outside Spain, which accounts for a 25.20% of the total patients included in the RIETE Registry.

Published
2019

24. Venous Thromboembolism in Patients With Autoimmune Disorders: Findings From the RIETE Registry.

Author

Sada, Pablo Ruiz, López-Núñez, Juan J., Samperiz, Angel, Soto, María José, Pedrajas, José María, Porras, José Antonio, Peris, María Luisa, Debourdeau, Philippe, Pace, Federica, and Monreal, Manuel

Subjects
THROMBOEMBOLISM risk factors, ANTICOAGULANTS, AUTOIMMUNE diseases, CONFIDENCE intervals, HEMORRHAGE, MULTIVARIATE analysis, VEINS, DISEASE relapse, DESCRIPTIVE statistics, ODDS ratio, DISEASE complications
Abstract

Patients with autoimmune disorders are at an increased risk of venous thromboembolism (VTE), but this association has not been consistently evaluated. We used the RIETE (Registro Informatizado Enfermedad Trombo Embólica) database to compare the rates of VTE recurrences, major bleeding, and death during the course of anticoagulation, according to the presence or absence of autoimmune disorders. Of 71 625 patients with VTE recruited in February 2018, 1800 (2.5%) had autoimmune disorders. Median duration of anticoagulant therapy was slightly longer in patients with autoimmune disorders (median, 190 vs 182 days; P =.001). On multivariable analysis, patients with autoimmune disorders had a similar risk of VTE recurrences (hazard ratio [HR]: 0.93; 95% confidence interval [CI]: 0.68-1.27) or major bleeding (HR: 1.07; 95% CI: 0.82-1.40) and a lower risk to die (HR: 0.66; 95% CI: 0.54-0.81) than those without autoimmune disorders. Patients with giant cell arteritis had the highest rates of major bleeding (8.6 events per 100 patient-years) and the lowest rate of recurrences (zero). In other subgroups, the rates of both events were more balanced. During anticoagulation, patients with or without autoimmune disorders had similar rates of VTE recurrences or major bleeding. However, there were some differences between subgroups of patients with autoimmune disorders. [ABSTRACT FROM AUTHOR]

Published
2020
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29. Hidden Markov Modeling for humpback whale (Megaptera novaeangliae) call classification

Author

Pace, Federica, White, Paul, Adam, Olivier, Société Française d'Acoustique, and System, HAL

Subjects
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph], ComputingMethodologies_PATTERNRECOGNITION
Abstract

International audience; This study proposes a new approach for the classification of the calls detected in the songs with the use of Hidden Markov Models (HMMs) based on the concept of subunits as building blocks. HMMs have been used once before for such task but in an unsupervised algorithm with promising results, and they are used extensively in speech recognition and in few bioacoustics studies. Their flexibility suggests that they may be suitable for the analysis of the varied repertoire of humpback whale (Megaptera novaeangliae) calls because they cope well with variations in the call durations, which is a common feature in humpback whale vocalizations. Another attractive characteristic of HMMs is that highly developed tool-set is widely available as a consequence of the widespread use of their employment for human speech analysis.We describe the HMM classification method and show that a high level of performance can be achieved with modest requirements both in terms of computational load and storage. Training stage requires minimal manual input and once trained the recognition process is fully automated. We will present how the classification performance is affected by different amount of training.

Published
2012

30. Factors associated with mortality and survival in venous thromboembolism and hidden or concurrent cancer

Author

Jara-Palomares, Luis, primary, Morillo-Guerrero, Raquel, additional, Otero-Candelera, Remedios, additional, Díaz-Peromingo, Jose Antonio, additional, Pace, Federica, additional, Del Molino, Fatima, additional, Saraiva de Sousa, Marta, additional, Nuñez-Fernandez, Manuel-Jesus, additional, Serrano-Casas, Juan-Carlos, additional, and Monreal, Manuel, additional

Published
2015
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31. Automated classification of humpback whale (Megaptera novaeangliae) songs using hidden Markov models

Author

Pace, Federica. and Pace, Federica.

Abstract

Humpback whales songs have been widely investigated in the past few decades. This study proposes a new approach for the classification of the calls detected in the songs with the use of Hidden Markov Models (HMMs). HMMs have been used once before for such task but in an unsupervised algorithm with promising results. Here HMMs were trained and two models were employed to classify the calls into their component units and subunits. The results show that classification of humpback whale songs from one year to another is possible even with limited training. The classification is fully automated apart from the labelling of the training set and the input of the initial HMM prototype models. Two different models for the song structure are considered: one based on song units and one based on subunits. The latter model is shown to achieve better recognition results with a reduced need for updating when applied to a variety of recordings from different years and different geographic locations.

Published
2013

35. Spontaneous multiple cervical artery dissection: two case reports and a review of the literature

Author

Pace, Federica, Toni, Danilo, Di Angelantonio, Emanuele, Lorenzano, Svetlana, and Argentino, Corrado

Subjects
*CEREBRAL ischemia, *DISSECTION, *BLOOD vessels, *SYMPTOMS
Abstract

Although spontaneous cervical artery dissection (CAD) is an uncommon cause of stroke in the general population, it accounts for 10–25% of cerebrovascular events in young to middle-aged patients. Two or more vessels are involved in fewer than 15% of dissections, but multiple spontaneous CADs are likely to be underestimated owing to frequent spontaneous recanalization and the possible oligo-symptomatic presentation. An extensive review of the literature shows that in the last 30 years only 28 cases of multiple CADs have been reported, and that in half of these patients symptoms were minor and transient. We describe two cases of multiple spontaneous CADs presenting as transient ischemic attack (TIA), in which only a specific diagnostic flow-chart allowed us to recognize multiple vessel involvement and start the appropriate therapy. [Copyright &y& Elsevier]

Published
2004
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36. Legal Drama: un'indagine metodologica e comparativa delle serie TV giudiziarie

Author

Pace, Federica, thesis supervisor: Rocchi, Marta, Pace, Federica, and thesis supervisor: Rocchi, Marta

Abstract

La presente ricerca si propone di esaminare il ruolo di quattro serie TV legali contemporanee: la quinta e la sesta stagione di The Good Fight (Paramount+, 2017-2022), Goliath (Amazon Prime Video, 2016-2021), Partner Track (Netflix, 2022) e la prima di The Lincoln Lawyer (Netflix, 2022-in produzione). Questo studio si inserisce in un contesto in cui le produzioni originali delle piattaforme streaming Over The Top (OTT) stanno già avendo un notevole impatto sull'industria dell'intrattenimento. Lo studio si concentra sul contesto storico e teorico dei legal drama, esaminando l'evoluzione del genere e le sue caratteristiche principali, al fine di porre le basi per un'analisi metodologica. L'obiettivo è condurre un'analisi comparativa delle serie sopracitate per identificarne caratteristiche e tendenze narrative. Attraverso l'analisi quantitativa e qualitativa dei contenuti, si esplorano gli episodi di queste serie per identificarne i temi professionali, sentimentali e legali, oltre agli stereotipi sul lavoro. Questo approccio consente di comprendere le dinamiche dei personaggi e le situazioni giuridiche affrontate, verificando se possono essere ricondotte alle formule narrative individuate in precedenti studi (formula etico-sociale, status-centrica e antologica).

37. Mutualismo di imprese e simbiosi industriale: la valorizzazione degli scarti presso la cartiera Favini

Author

La Pace, Federica, thesis supervisor: Bonoli, Alessandra, La Pace, Federica, and thesis supervisor: Bonoli, Alessandra

Abstract

Il seguente lavoro di tesi vuole mostrare l’evoluzione del concetto di rifiuto a livello normativo ed economico, ed infine a livello industriale, dove verrà presentato il caso studio della cartiera Favini, con l’obiettivo di dimostrare come l’azienda, partendo dalla valorizzazione degli scarti, stia oggi adottando un modello di simbiosi industriale grazie alle collaborazioni messe in atto. Il presente elaborato si sviluppa in quattro capitoli. Nel primo capitolo sarà fornita una presentazione della situazione normativa in Italia, in termini ambientali. Nel secondo capitolo si procede, dopo un’introduzione del concetto di economia circolare, alla presentazione delle relative best practices. In seguito verrà presentato il quadro normativo dell’economia circolare, sia a livello europeo (Commissione Europea), sia a livello nazionale e sia a livello regionale. Nel terzo capitolo, verrà descritta la disciplina dell’ecologia industriale, che rappresenta il percorso teorico che le imprese devono seguire nel processo di sviluppo sostenibile, per l’attuazione del mutualismo di imprese. Nel quarto capitolo sarà presentato il caso studio della cartiera Favini. Verrà fatta una presentazione generale dell’azienda, saranno descritti i prodotti, i processi e le collaborazioni messe in atto da Favini. Per la valutazione ambientale sarà analizzata la carbon footprint del processo di produzione della carta ecologica Crush, mentre la valutazione economica si concretizzerà in un confronto dei costi di acquisto delle materie prime per la produzione di carte ecologiche personalizzate e carta standard. Sulla base di quanto è emerso dai capitoli precedenti, sarà indagata la corrispondenza tra i principi della simbiosi industriale e le caratteristiche operative di Favini. Infine, prenderà forma una valutazione critica dei punti in comune e degli elementi mancanti e verranno presentate delle proposte di soluzione dei problemi.

38. Mutualismo di imprese e simbiosi industriale: la valorizzazione degli scarti presso la cartiera Favini

Author

La Pace, Federica, thesis supervisor: Bonoli, Alessandra, La Pace, Federica, and thesis supervisor: Bonoli, Alessandra

Abstract

Il seguente lavoro di tesi vuole mostrare l’evoluzione del concetto di rifiuto a livello normativo ed economico, ed infine a livello industriale, dove verrà presentato il caso studio della cartiera Favini, con l’obiettivo di dimostrare come l’azienda, partendo dalla valorizzazione degli scarti, stia oggi adottando un modello di simbiosi industriale grazie alle collaborazioni messe in atto. Il presente elaborato si sviluppa in quattro capitoli. Nel primo capitolo sarà fornita una presentazione della situazione normativa in Italia, in termini ambientali. Nel secondo capitolo si procede, dopo un’introduzione del concetto di economia circolare, alla presentazione delle relative best practices. In seguito verrà presentato il quadro normativo dell’economia circolare, sia a livello europeo (Commissione Europea), sia a livello nazionale e sia a livello regionale. Nel terzo capitolo, verrà descritta la disciplina dell’ecologia industriale, che rappresenta il percorso teorico che le imprese devono seguire nel processo di sviluppo sostenibile, per l’attuazione del mutualismo di imprese. Nel quarto capitolo sarà presentato il caso studio della cartiera Favini. Verrà fatta una presentazione generale dell’azienda, saranno descritti i prodotti, i processi e le collaborazioni messe in atto da Favini. Per la valutazione ambientale sarà analizzata la carbon footprint del processo di produzione della carta ecologica Crush, mentre la valutazione economica si concretizzerà in un confronto dei costi di acquisto delle materie prime per la produzione di carte ecologiche personalizzate e carta standard. Sulla base di quanto è emerso dai capitoli precedenti, sarà indagata la corrispondenza tra i principi della simbiosi industriale e le caratteristiche operative di Favini. Infine, prenderà forma una valutazione critica dei punti in comune e degli elementi mancanti e verranno presentate delle proposte di soluzione dei problemi.

39. Observation of a Humpback Whale (Megaptera novaeangliae) Birth in the Coastal Waters of Sainte Marie Island, Madagascar.

Author

Faria, Maria-Alejandra, DeWeerdt, Joelle, Pace, Federica, and Mayer, Francois-Xavier

Subjects
*HUMPBACK whale, *WHALES, *CATALOGING, *BEHAVIOR
Abstract

The article offers information on the facts related to the birth of Humpback Whale in the Coastal Waters of Sainte Marie Island, Madagascar. It discusses several facts which includes behavior of the group comprising the mother and the newborn, photographic catalogue of the event and behavior of the escorts and the mother before, during, and after the birth.

Published
2013
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40. RESISTENZA AL FLUSSO E MARKERS METABOLICI COME STRUMENTI DI VALUTAZIONE D’ORGANO PER IL TRAPIANTO DI RENI MARGINALI: STUDIO PROSPETTICO ITALIANO SULLA PERFUSIONE IPOTERMICA OSSIGENATA

Author

Lorenzo Maroni, Vanessa De Pace, Federica Odaldi, Giacomo Frascaroli, Enrico Prosperi, Giuliana Germinario, Valentina Rosa Bertuzzo, Chiara Zanfi, Massimo Del Gaudio, Giorgia Comai, Valeria Corradetti, Vania Cuna, Andrea Angeletti, Gaetano La Manna, Matteo Ravaioli, and Lorenzo Maroni, Vanessa De Pace, Federica Odaldi, Giacomo Frascaroli, Enrico Prosperi, Giuliana Germinario,Valentina Rosa Bertuzzo, Chiara Zanfi, Massimo Del Gaudio, Giorgia Comai, Valeria Corradetti, Vania Cuna, Andrea Angeletti, Gaetano La Manna, Matteo Ravaioli

Subjects
trapianti
Published
2019

41. Salmonella enteritidis pericarditis: case report and review of the literature.

Author

Pace F, Fanfarillo F, Giorgino F, and Baratta L

Subjects
Aged, Autoimmune Diseases complications, Autoimmune Diseases drug therapy, Azathioprine adverse effects, Azathioprine therapeutic use, Dermatomyositis complications, Dermatomyositis drug therapy, Humans, Immunocompromised Host, Immunosuppressive Agents adverse effects, Immunosuppressive Agents therapeutic use, Male, Methylprednisolone adverse effects, Methylprednisolone therapeutic use, Pericarditis microbiology, Salmonella Infections microbiology, Salmonella enteritidis isolation & purification
Abstract

A 65-year-old male patient with primary idiopathic dermatomyositis and on regular immunosuppressive therapy was admitted to our Department for fever and dyspnea. A diagnosis of hemorrhagic Salmonella enteritidis pericarditis was made. Treatment necessitated aggressive medical/surgical supervision. A review of the pertinent literature revealed that during the last decade Salmonella enteritidis has been identified as the most frequent agent of pericarditis caused by Salmonella species apart from Salmonella typhi. This, possibly as a consequence of the widespread contamination of poultry foods by this Salmonella species and/or owing to a possible peculiar affinity of Salmonella enteritidis to the pericardium.

Published
2002

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