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6,122 results on '"Molina, María"'

1. Presencia de la escuela rural en Cabás (2009-2022)

Author

Molina, María Dolores and Sanchidrián, Carmen

Subjects
escuela rural, museos de la educación, revistas de educación, cultura material, historia de la educación, patrimonio histórico educativo, rural school, education museums, education journals, material culture, history of education, historical educational heritag, Education, History of education, LA5-2396
Abstract

En este artículo se analiza la presencia de la escuela rural en la revista Cabás desde 2009 hasta 2022. En total se han hallado 38 investigaciones. Entre los resultados destaca que ha habido una continuidad en la publicación de estudios sobre escuela rural; y que las investigaciones se centran en España, aunque hay dos que lo hacen en Francia. Los estudios se han clasificado en ocho categorías, destacando la de “Museos” con más artículos. Cabáses una revista de referencia para la historia de la escuela rural.

Published
2023
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2. Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability?

Author

Mayer, Kirsten J., Dagon, Katherine, and Molina, Maria J.

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

Previous research has demonstrated that specific states of the climate system can lead to enhanced subseasonal predictability (i.e., state-dependent predictability). However, biases in Earth system models can affect the representation of these states and their subsequent evolution. Here, we present a machine learning framework to identify state-dependent biases in Earth system models. In particular, we investigate the utility of transfer learning with explainable neural networks to identify tropical state-dependent biases in historical simulations of the Energy Exascale Earth System Model version 2 (E3SMv2) relevant for midlatitude subseasonal predictability. Using a perfect model framework, we find transfer learning may require substantially more data than provided by present-day reanalysis datasets to update neural network weights, imparting a cautionary tale for future transfer learning approaches focused on subseasonal modes of variability., Comment: This work has been submitted for publication in Artificial Intelligence for the Earth Systems (AIES). Copyright in this work may be transferred without further notice

Published
2024

3. An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes

Author

Pérez-Carrasquilla, Jhayron S. and Molina, Maria J.

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

It is largely understood that subseasonal-to-seasonal (S2S) predictability arises from the atmospheric initial state during early lead times, the land during intermediate lead times, and the ocean during later lead times. We examine whether this hypothesis holds for the S2S prediction of weather regimes by training a set of XGBoost models to predict weekly weather regimes over North America at 1-to-8-week lead times. Each model used a different predictor from one of the three considered Earth system components (atmosphere, ocean, or land) sourced from reanalyses. Three additional models were trained using land-, ocean-, or atmosphere-only predictors to capture process interactions and leverage multiple signals within the respective Earth system component. We found that each Earth system component performed more skillfully at different forecast horizons, with sensitivity to seasonality and observed (i.e., ground truth) weather regime. S2S predictability from the atmosphere was higher during winter, from the ocean during summer, and from land during spring and summer. Ocean heat content was the best predictor for most seasons and weather regimes beyond week 2, highlighting the importance of sub-surface ocean conditions for S2S predictability. Soil temperature and water content were also important predictors. Climate patterns were associated with changes in the likelihood of occurrence for specific weather regimes, including the El Ni\~no-Southern Oscillation, Madden Julian Oscillation, North Pacific Gyre, and Indian Ocean dipole. This study quantifies predictability from some previously identified processes on the large-scale atmospheric circulation and gives insight into new sources for future study., Comment: This work has been submitted for publication to Artificial Intelligence for the Earth Systems (AIES). Copyright in this work may be transferred without further notice

Published
2024

4. Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned

Author

Molina, Maria J., McGovern, Amy, Perez-Carrasquilla, Jhayron S., and Tanamachi, Robin L.

Subjects
Computer Science - Human-Computer Interaction, Physics - Atmospheric and Oceanic Physics
Abstract

Although generative artificial intelligence (AI) is not new, recent technological breakthroughs have transformed its capabilities across many domains. These changes necessitate new attention from educators and specialized training within the atmospheric sciences and related fields. Enabling students to use generative AI effectively, responsibly, and ethically is critically important for their academic and professional preparation. Educators can also use generative AI to create engaging classroom activities, such as active learning modules and games, but must be aware of potential pitfalls and biases. There are also ethical implications in using tools that lack transparency, as well as equity concerns for students who lack access to more sophisticated paid versions of generative AI tools. This article is written for students and educators alike, particularly those who want to learn more about generative AI in education, including use cases, ethical concerns, and a brief history of its emergence. Sample user prompts are also provided across numerous applications in education and the atmospheric and related sciences. While we don't have solutions for some broader ethical concerns surrounding the use of generative AI in education, our goal is to start a conversation that could galvanize the education community around shared goals and values., Comment: This Work has been submitted to the Bulletin of the American Meteorological Society. Copyright in this Work may be transferred without further notice; 14 pages, 2 figures, 2 tables

Published
2024

5. Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model

Author

Chan, Matthew A., Molina, Maria J., and Metzler, Christopher A.

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition
Abstract

Estimating and disentangling epistemic uncertainty (uncertainty that can be reduced with more training data) and aleatoric uncertainty (uncertainty that is inherent to the task at hand) is critically important when applying machine learning (ML) to high-stakes applications such as medical imaging and weather forecasting. Conditional diffusion models' breakthrough ability to accurately and efficiently sample from the posterior distribution of a dataset now makes uncertainty estimation conceptually straightforward: One need only train and sample from a large ensemble of diffusion models. Unfortunately, training such an ensemble becomes computationally intractable as the complexity of the model architecture grows. In this work we introduce a new approach to ensembling, hyper-diffusion, which allows one to accurately estimate epistemic and aleatoric uncertainty with a single model. Unlike existing Monte Carlo dropout based single-model ensembling methods, hyper-diffusion offers the same prediction accuracy as multi-model ensembles. We validate our approach on two distinct tasks: x-ray computed tomography (CT) reconstruction and weather temperature forecasting., Comment: 10 pages, 7 figures

Published
2024

9. Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications

Author

Schreck, John S., Gagne II, David John, Becker, Charlie, Chapman, William E., Elmore, Kim, Fan, Da, Gantos, Gabrielle, Kim, Eliot, Kimpara, Dhamma, Martin, Thomas, Molina, Maria J., Pryzbylo, Vanessa M., Radford, Jacob, Saavedra, Belen, Willson, Justin, and Wirz, Christopher

Subjects
Computer Science - Machine Learning
Abstract

Robust quantification of predictive uncertainty is critical for understanding factors that drive weather and climate outcomes. Ensembles provide predictive uncertainty estimates and can be decomposed physically, but both physics and machine learning ensembles are computationally expensive. Parametric deep learning can estimate uncertainty with one model by predicting the parameters of a probability distribution but do not account for epistemic uncertainty.. Evidential deep learning, a technique that extends parametric deep learning to higher-order distributions, can account for both aleatoric and epistemic uncertainty with one model. This study compares the uncertainty derived from evidential neural networks to those obtained from ensembles. Through applications of classification of winter precipitation type and regression of surface layer fluxes, we show evidential deep learning models attaining predictive accuracy rivaling standard methods, while robustly quantifying both sources of uncertainty. We evaluate the uncertainty in terms of how well the predictions are calibrated and how well the uncertainty correlates with prediction error. Analyses of uncertainty in the context of the inputs reveal sensitivities to underlying meteorological processes, facilitating interpretation of the models. The conceptual simplicity, interpretability, and computational efficiency of evidential neural networks make them highly extensible, offering a promising approach for reliable and practical uncertainty quantification in Earth system science modeling. In order to encourage broader adoption of evidential deep learning in Earth System Science, we have developed a new Python package, MILES-GUESS (https://github.com/ai2es/miles-guess), that enables users to train and evaluate both evidential and ensemble deep learning.

Published
2023

10. Therapeutic antibodies in oncology: an immunopharmacological overview

Author

Toledo-Stuardo, Karen, Ribeiro, Carolina H., González-Herrera, Fabiola, Matthies, Douglas J., Le Roy, María Soledad, Dietz-Vargas, Claudio, Latorre, Yesenia, Campos, Ivo, Guerra, Yuneisy, Tello, Samantha, Vásquez-Sáez, Valeria, Novoa, Pedro, Fehring, Nicolás, González, Mauricio, Rodríguez-Siza, Jose, Vásquez, Gonzalo, Méndez, Pamela, Altamirano, Claudia, and Molina, María Carmen

Published
2024
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11. Patients recovering from COVID-19 who presented with anosmia during their acute episode have behavioral, functional, and structural brain alterations

Author

Kausel, Leonie, Figueroa-Vargas, Alejandra, Zamorano, Francisco, Stecher, Ximena, Aspé-Sánchez, Mauricio, Carvajal-Paredes, Patricio, Márquez-Rodríguez, Victor, Martínez-Molina, María Paz, Román, Claudio, Soto-Fernández, Patricio, Valdebenito-Oyarzo, Gabriela, Manterola, Carla, Uribe-San-Martín, Reinaldo, Silva, Claudio, Henríquez-Ch, Rodrigo, Aboitiz, Francisco, Polania, Rafael, Guevara, Pamela, Muñoz-Venturelli, Paula, Soto-Icaza, Patricia, and Billeke, Pablo

Published
2024
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20. LA DESCONTAMINACIÓN DE AGUAS RESIDUALES UTILIZANDO ZEOLITA, COMO SOLUCIÓN DE DESARROLLO LOCAL

Author

Alcivar, Maria Shirlendy Guerrero, primary, Arévalo, Olinda Elizabeth Caicedo, additional, Sánchez, Lucia Katherine Macias, additional, Guerrero, Peter Joshue Navarrete, additional, Mendoza, Marjory Elizabeth Caballero, additional, Bravo, Bolívar Humberto Ortega, additional, Mera, María Veneranda Pita, additional, Molina, María Belén Lozano, additional, Mera, Luzmila Elizabeth Burbano, additional, and Espinoza, Galo Arturo Perero, additional

Published
2024
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21. Corporate Social Responsibility Challenges in the Mining Industry and ISO 26000

Author

Garcia-Ortega, Beatriz, Catalá-Pérez, Daniel, de-Miguel-Molina, Blanca, de-Miguel-Molina, María, Robinson, Simon, Series Editor, Grigore, Georgiana, Series Editor, Stancu, Alin, Series Editor, Sörensson, Anna, Series Editor, Poveda-Pareja, Esther, editor, Marco-Lajara, Bartolomé, editor, Úbeda-García, Mercedes, editor, and Manresa-Marhuenda, Encarnación, editor

Published
2024
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26. Study on global self-esteem predictors in elementary school children. Differences according to sex and age

Author

Raimundi, María Julia and Molina, María Fernanda

Subjects
Global Self-esteem, Predictors, Self-perceptions, Children, Philosophy. Psychology. Religion, Psychology, BF1-990
Abstract

The perception of the value of themselves as individuals is a very important outcome in childhood. The aim of this paper is to study the influence of specific domain self-perception on the self-esteem of school age children from Buenos Aires City/AR (CABA). The Self-Perception Profile for Children was administered to 219 children of both genders (mean age = 10.34; SD = 1.77) from a private school from CABA. Multiple lineal regression analysis were performed. School grade and sex differences were taken into account. The main predictor of self-esteem for the boys is the self-perception of physical appearance and for the girls the self-perception of social acceptance. Considering grade differences, the main predictor of self-esteem for children from third to fifth grade is the self-perception of physical appearance and for sixth and seventh graders the self-perception of social acceptance and behavior.

Published
2011

34. Does physical activity and inflammation mediate the job stress-headache relationship? A sequential mediation analysis in the ELSA-Brasil study

Author

Belitardo de Oliveira, Arão, Winter Schytz, Henrik, Fernando Prieto Peres, Mario, Peres Mercante, Juliane Prieto, Brunoni, André R., Wang, Yuan-Pang, Carmen B. Molina, Maria del, Koji Uchiyama, Lucas, Lotufo, Paulo A., Højland Jensen, Rigmor, Benseñor, Isabela M., Härter Griep, Rosane, and Goulart, Alessandra C.

Published
2024
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35. Lung Function and Symptoms of Exposure to the Volcanic Eruption in the Canary Islands: First Follow-Up of the ASHES Study

Author

Candal-Pedreira, Cristina, Díaz-Pérez, David, Velasco, Valle, Casanova, Ciro, Acosta, Orlando, Peces-Barba, Germán, Barreiro, Esther, Cañas, Ana, Castaño, Argelia, Cruz Carmona, María Jesús, Diego, Carmen, Garcia-Aymerich, Judith, Martínez, Cristina, Molina-Molina, María, Muñoz, Xavier, Sánchez-Íñigo, Francisco Javier, and Ruano-Ravina, Alberto

Published
2024
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37. Nivel de Competencia en práctica basada en la evidencia en estudiantes de programas de enfermería de Colombia (Competency level in evidence-based practice among students of nursing programs in Colombia)

Author

Palacios-Chavarria, Irma Constanza, Andrade-Fonseca, David, Vergara-Escobar, Oscar Javier, Parra-González, Lina Marcela, Ureña-Molina, María del Pilar, and Camargo-Figuera, Fabio Alberto

Subjects
estudiantes de enfermería, práctica clínica basada en evidencia, educación basada en competencias, conocimiento, actitud, competencia clínica, students nursing, evidence-based practice, competency-based education, knowledge, attitude, clinical competence, estudantes de enfermagem, prática clínica baseada em evidências, educação baseada em competências, conhecimento, atitude, competência clínica, Medicine
Abstract

RESUMEN Introducción. La práctica basada en evidencia en enfermería busca fortalecer la toma de decisiones, disminuir la variabilidad de la práctica y mejorar los resultados en los pacientes. Objetivo. Determinar el nivel de competencia en práctica basada en la evidencia en estudiantes de enfermería de programas de Colombia. Metodología. Estudio descriptivo de corte transversal realizado en 1,021 estudiantes de último año de 19 programas de Enfermería de Colombia. Se utilizó el cuestionario de Competencias en Práctica Basada en la Evidencia (CACH-PBE) elaborado por María Ruzafa Martínez y colaboradores para la evaluación de las competencias frente a los conocimientos, actitudes y habilidades en Práctica Basada en Evidencia – PBE, y se hizo la caracterización sociodemográfica y de formación de los participantes. Resultados. El 83% de los participantes son mujeres, el 65.3% no cuenta con formación previa en PBE. La puntuación media de la competencia global en práctica basada en la evidencia fue de 3.81. La puntuación más alta se dio en el dominio de actitud con una media de 4.1. Los dominios de habilidad y conocimientos reportaron una media de 3.66 y 3.34 respectivamente. Discusión. En general los estudios que han abordado esta temática muestran que los estudiantes de programas de enfermería logran un nivel intermedio en competencias frente al uso de la PBE y que la formación dirigida específicamente frente a esta metodología favorece el logro de las competencias para su uso en la práctica profesional. Conclusiones. Los estudiantes tienen un nivel alto en actitud y un nivel intermedio en habilidades y conocimientos para el uso de la PBE. Palabras clave: Estudiantes de Enfermería; Práctica Clínica Basada en Evidencia; Educación basada en Competencias; Conocimiento; Actitud; Competencia Clínica ABSTRACT Introduction. Evidence-based practice in nursing seeks to strengthen decision-making, decrease practice variability, and improve patient outcomes. Objective. To determine the level of competence in evidence-based practice among nursing students in Colombian programs. Methodology. A descriptive cross-sectional study was conducted with 1,021 final-year students from 19 nursing programs in Colombia. The Evidence-Based Practice Competency Questionnaire (CACH-PBE) developed by María Ruzafa Martínez and colleagues was used to evaluate competencies in knowledge, attitudes, and skills in Evidence-Based Practice (EBP), and a sociodemographic and educational characterization of the participants was conducted. Results. Eighty-three percent of the participants were women, and 65.3% had no previous training in EBP. The mean global competency score in evidence-based practice was 3.81. The highest score was in the attitude domain, with a mean of 4.1. The skill and knowledge domains reported a mean of 3.66 and 3.34, respectively. Discussion. In general, the studies that have addressed this topic show that nursing program students achieve an intermediate level of competencies in using EBP and that training directed explicitly towards this methodology favors the achievement of competencies for its use in professional practice. Conclusions. Students have a high level of attitude and an intermediate level of skil ls and knowledge for using EBP. Keywords: Evidence-Based Practice; Students; Nursing; Knowledge; Aptitude; Attitude. RESUMO Introdução. A prática baseada em evidências em enfermagem busca fortalecer a tomada de decisões, reduzir a variabilidade da prática e melhorar os resultados para os pacientes. Objetivo. Determinar o nível de competência na prática baseada em evidências em estudantes de cursos de enfermagem na Colômbia. Metodologia. Estudo descritivo transversal realizado com 1.021 estudantes do último ano de 19 cursos de enfermagem na Colômbia. Foi utilizado o questionário de Competências em Prática Baseada em Evidências (CACH-PBE), desenvolvido por María Ruzafa Martínez e colaboradores para avaliar as competências em relação aos conhecimentos, atitudes e habilidades em Prática Baseada em Evidências – PBE, e foi realizada a caracterização sociodemográfica e formação dos participantes. Resultados. 83% dos participantes são mulheres, 65.3% não possuem formação prévia em PBE. A pontuação média de competencia geral na prática baseada em evidências foi de 3.81. A maior pontuação foi no domínio atitude com média de 4.1. Os domínios habilidade e conhecimento reportaram média de 3.66 e 3.34 respectivamente. Discussão. Em geral, os estudos que têm abordado essa questão mostram que os alunos dos cursos de enfermagem atingem um nível intermediário de competências no uso da PBE e que a formação especificamente voltada para essa metodologia favorece a obtenção de competências para seu uso na prática profissional. Conclusões. Os alunos apresentam alto nível de atitude e nível intermediário de habilidades e conhecimentos para a utilização da PBE. Palavras-chave: Estudantes de enfermagem; Prática Clínica Baseada em Evidências; Educação Baseada em Competências; Conhecimento; Atitude; Competência Clínica.

Published
2023
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41. Vectores de Chagas y su control. Hemiptera: Reduviidae Triatominae

Author

Jonny Duque, Clara González, Martha Lucía Díaz, Ramiro Cubides, Clever Galvao, Jorge Molina, María Carolina Velázquez, Johan Portilla, Lyda Esteban, Juan Luis Téllez, Mónica Flórez, Alejandro Lucia, Eduardo Guzmán, Ariel Ceferino, Gastón Mougabure, Ruth Castillo, Edwin Escobar, Juliana Cuadros, Stelia Carolina Méndez and Jonny Duque, Clara González, Martha Lucía Díaz, Ramiro Cubides, Clever Galvao, Jorge Molina, María Carolina Velázquez, Johan Portilla, Lyda Esteban, Juan Luis Téllez, Mónica Flórez, Alejandro Lucia, Eduardo Guzmán, Ariel Ceferino, Gastón Mougabure, Ruth Castillo, Edwin Escobar, Juliana Cuadros, Stelia Carolina Méndez

Published
2024

42. Risk of recurrence after discontinuing anticoagulation in patients with COVID-19- associated venous thromboembolism: a prospective multicentre cohort study

Author

Adarraga, María Dolores, Conesa, Ana Alberich, Aibar, Jesús, Lozano, Alicia Alda, Alfonso, Joaquín, Carrillo, Jesús Alonso, Amado, Cristina, García, María Angelina, Arcelus, Juan Ignacio, Ballaz, Aitor, Barba, Raquel, Hernando, María Barca, Barbagelata, Cristina, Barrón, Manuel, Andrés, Belén Barrón, Chaib, Fahd Beddar, Blanco Molina, María Ángeles, Caballero, Juan Carlos, Castellanos, Gonzalo, Chasco, Leyre, Criado, Juan, de Ancos, Cristina, Toro, Jorge del, Rodríguez, Pablo Demelo, de Juana Izquierdo, Cristina, Díaz Brasero, Ana María, Díaz Peromingo, José Antonio, Silva, Álvaro Dubois, Escribano, Juan Carlos, Falgá, Concepción, Farfán Sedano, Ana Isabel, Aracil, Cleofe Fernández, Capitán, Carmen Fernández, Jiménez, Begoña Fernández, Fernández Reyes, José Luis, Fidalgo, María Ángeles, Francisco, Iria, Gabara, Cristina, Valle, Francisco Galeano, Bragado, Francisco García, Ortega, Alberto García, Sebastián, Olga Gavín, Gil de Gómez, María Allende, Díaz, Aída Gil, Cuervo, Covadonga Gómez, Munera, Adriana González, Grau, Enric, Guirado, Leticia, Gutiérrez, Javier, Blasco, Luis Hernández, Palomares, Luis Jara, Jaras, María Jesús, Jiménez, David, Jiménez, Rafael, Jou, Inés, Joya, María Dolores, Justo, Sara Lainez, Lalueza, Antonio, Lecumberri, Ramón, León Ramírez, José Manuel, Llamas, Pilar, Lobo, José Luis, Jiménez, Luciano López, Miguel, Patricia López, López Núñez, Juan José, Ruiz, Antonio López, López Sáez, Juan Bosco, Lorenzo, Alicia, Lumbierres, Marina, Madridano, Olga, Maestre, Ana, Marchena, Pablo Javier, Marcos, María, Martín del Pozo, Mar, Martos, Francisco Martín, Maza, Jorge Manuel, Mena, Elisabeth, Mercado, Maria Isabel, Moisés, Jorge, Monreal, Manuel, Morales, María del Valle, Navas, Maria Sierra, Nieto, José Antonio, Núñez Fernández, Manuel Jesús, Olid, Mónica, Ortega, Lucía Ordieres, Ortiz, María, Osorio, Jeisson, Otálora, Sonia, Otero, Remedios, Gómez, Nazaret Pacheco, Pagán, Javier, Palomeque, Andrea Catalina, Paredes, Ezequiel, Caballero, Pedro Parra, Pedrajas, José María, Ductor, Cristina Pérez, Pinar, Montserrat Pérez, Peris, María Luisa, Pesce, María Lourdes, Porras, José Antonio, Puchades, Ramón, Cívico, Francisco Rivera, Cobo, Ana Rodríguez, Rosa, Vladimir, Brugera, Marta Romero, Artacho, Pedro Ruiz, Giménez, Nuria Ruiz, Ruiz, Justo Ruiz, Salgueiro, Georgina, Sancho, Teresa, Sendín, Vanesa, Sigüenza, Patricia, Soler, Silvia, Fernández, Susana Suárez, Tirado, Raimundo, Vilar, Ana Torrents, Torres, María Isabel, Santos, Javier Trujillo, Uresandi, Fernando, Valle, Reina, Varona, José Felipe, Villalobos, Aurora, Villares, Paula, Ay, Cihan, Nopp, Stephan, Pabinger, Ingrid, Engelen, Matthias, Vanassche, Thomas, Verhamme, Peter, Bok Yoo, Hugo Hyung, Montenegro, Ana Cristina, Morales, Silvia Natalia, Roa, Jairo, Hirmerova, Jana, Malý, Radovan, Bertoletti, Laurent, Bura-Riviere, Alessandra, Catella, Judith, Chopard, Romain, Couturaud, Francis, Espitia, Olivier, Grange, Claire, Leclercq, Barbara, Le Mao, Raphael, Mahé, Isabelle, Moustafa, Farès, Plaisance, Ludovic, Bartoli, Gabrielle Sarlon, Suchon, Pierre, Versini, Edouard, Schellong, Sebastian, Brenner, Benjamin, Dally, Najib, Tzoran, Inna, Sadeghipour, Parham, Rashidi, Fahrid, Abenante, Alessia, Barillari, Giovanni, Basaglia, Manuela, Bilora, Franca, Bissacco, Daniele, Bortoluzzi, Cristiano, Brandolin, Barbara, Casana, Renato, Ciammaichella, Maurizio, Colaizzo, Donatella, Dentali, Francesco, Di Micco, Pierpaolo, Grandone, Elvira, Imbalzano, Egidio, Deliliers, Daniela Lambertenghi, Negro, Federica, Pesavento, Raffaele, Poz, Alessandra, Prandoni, Paolo, Scarinzi, Paolo, Siniscalchi, Carmine, Taflaj, Beldisa, Tufano, Antonella, Visonà, Adriana, Hong, Ngoc Vo, Zalunardo, Beniamino, Skride, Andris, Kigitovica, Dana, Fonseca, Samuel, Marques, Rafael, Meireles, José, Pinto, Sara Barbosa, Bosevsky, Marijan, Eftimova, Aleksandra, Zdraveska, Marijan, Bounameaux, Henri, Mazzolai, Lucia, Aujayeb, Avinash, Bikdeli, Behnood, Caprini, Joseph, Weinberg, Ido, Bui, Hanh My, Jara-Palomares, Luis, Muriel, Alfonso, Demelo-Rodríguez, Pablo, López-Miguel, Patricia, López-Jiménez, Luciano, and Rivera-Cívico, Francisco

Published
2024
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43. Influencia de las guías de práctica clínica en el diagnóstico y tratamiento de la fibrosis pulmonar idiopática. Datos del Registro de la Sociedad Española de Neumología y Cirugía Torácica

Author

Aburto, Myriam, Rodríguez-Portal, José Antonio, Fernandez-Fabrellas, Estrella, García Sevila, Raquel, Herrera Lara, Susana, Bollo de Miguel, Elena, González Ruiz, José María, Molina-Molina, María, Safont Muñoz, Belén, Godoy Mayoral, Raul, Romero Ortiz, Ana Dolores, Soler Sempere, María José, Castillo Villegas, Diego, Gaudó Navarro, Javier, Tomás López, Laura, Nuñez Sanchez, Belén, Palacios Hidalgo, Zulema, Sellares Torres, Jacobo, Sacristán Bou, Lirios, Nieto Barbero, María Asunción, Casanova Espinosa, Alvaro, Portillo-Carroz, Karina, Cano-Jimenez, Esteban, Acosta Fernández, Orlando, Legarreta, María José, and Valenzuela, Claudia

Published
2024
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48. Clinical features and prognosis of malignant small bowel tumors: Experience from a university hospital in Chile

Author

Silva, Felipe, Bustamante, Miguel, Latorre, Gonzalo, Flandez, Jorge, Montero, Isabella, Dukes, Eitan, Gandara, Vicente, Robles, Camila, Uribe, Javier, Iglesias, Andrés, Bellolio, Felipe, Molina, María Elena, Migueles, Rodrigo, Urrejola, Gonzalo, Larach, Tomás, Besser, Nicolas, Sharp, Allan, Agüero, Carlos, Riquelme, Arnoldo, Vargas, José Ignacio, Candia, Roberto, Monrroy, Hugo, De Simone, Federico, and Espino, Alberto

Published
2024
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49. Developmental toxicity of pre-production plastic pellets affects a large swathe of invertebrate taxa

Author

Jimenez-Guri, Eva, Paganos, Periklis, La Vecchia, Claudia, Annona, Giovanni, Caccavale, Filomena, Molina, Maria Dolores, Ferrández-Roldán, Alfonso, Donnellan, Rory Daniel, Salatiello, Federica, Johnstone, Adam, Eliso, Maria Concetta, Spagnuolo, Antonietta, Cañestro, Cristian, Albalat, Ricard, Martín-Durán, José María, Williams, Elizabeth A., D'Aniello, Enrico, and Arnone, Maria Ina

Published
2024
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