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1,485 results on '"Bortolotto P"'

1. On Extremal Problems Associated with Random Chords on a Circle

Author

Bortolotto, Cynthia and Ramos, João P. G.

Subjects
Mathematics - Metric Geometry, Mathematics - Probability
Abstract

Inspired by the work of Karamata, we consider an extremization problem associated with the probability of intersecting two random chords inside a circle of radius $r, \, r \in (0,1]$, where the endpoints of the chords are drawn according to a given probability distribution on $\mathbb{S}^1$. We show that, for $r=1,$ the problem is degenerated in the sense that any continuous measure is an extremiser, and that, for $r$ sufficiently close to $1,$ the desired maximal value is strictly below the one for $r=1$ by a polynomial factor in $1-r.$ Finally, we prove, by considering the auxiliary problem of drawing a single random chord, that the desired maximum is $1/4$ for $r \in (0,1/2).$ Connections with other variational problems and energy minimization problems are also presented., Comment: 23 pages, 3 figures

Published
2024

3. Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers

Author

Bergomi, Laura, Buonocore, Tommaso M., Antonazzo, Paolo, Alberghi, Lorenzo, Bellazzi, Riccardo, Preda, Lorenzo, Bortolotto, Chandra, and Parimbelli, Enea

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.7, J.3
Abstract

BACKGROUND: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently the adoption of structured reporting (SR) has been recommended by various medical societies thanks to the advantages it offers, e.g. standardization, completeness and information retrieval. We propose a pipeline to extract information from free-text radiology reports, that fits with the items of the reference SR registry proposed by a national society of interventional and medical radiology, focusing on CT staging of patients with lymphoma. METHODS: Our work aims to leverage the potential of Natural Language Processing (NLP) and Transformer-based models to deal with automatic SR registry filling. With the availability of 174 radiology reports, we investigate a rule-free generative Question Answering approach based on a domain-specific version of T5 (IT5). Two strategies (batch-truncation and ex-post combination) are implemented to comply with the model's context length limitations. Performance is evaluated in terms of strict accuracy, F1, and format accuracy, and compared with the widely used GPT-3.5 Large Language Model. A 5-point Likert scale questionnaire is used to collect human-expert feedback on the similarity between medical annotations and generated answers. RESULTS: The combination of fine-tuning and batch splitting allows IT5 to achieve notable results; it performs on par with GPT-3.5 albeit its size being a thousand times smaller in terms of parameters. Human-based assessment scores show a high correlation (Spearman's correlation coefficients>0.88, p-values<0.001) with AI performance metrics (F1) and confirm the superior ability of LLMs (i.e., GPT-3.5, 175B of parameters) in generating plausible human-like statements.

Published
2024
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8. Situational analysis of hypertension management at primary health care level in São Paulo, Brazil: population, healthcare professional and health system perspectives

Author

Palmeirim, Marta S., Baxter, Yara C., Silveira, Mariana, Maggion, Rafael V., Aquino, Beatriz, Avezum, Álvaro, Saric, Jasmina, Morgan, Louise, Drager, Luciano F., Bortolotto, Luiz A., Rollemberg, Suely Miya S., de Lima, Marcia M. C., Albuquerque, Edmir P. R., Jones, Olivia, Steinmann, Peter, Reiker, Theresa, and Boch, Johannes

Published
2024
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9. Machine learning predicts pulmonary Long Covid sequelae using clinical data

Author

Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, and Marco Alì

Subjects
Long-COVID, Post-COVID syndrome, Artificial intelligence, Prognosis, Multimodal learning, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient’s quality of life making it easier to develop severe complications. Being able to predict this syndrome is therefore important as this enables early treatment. In this work, we investigated three machine learning approaches that use clinical data collected at the time of hospitalization to this goal. The first works with all the descriptors feeding a traditional shallow learner, the second exploits the benefits of an ensemble of classifiers, and the third is driven by the intrinsic multimodality of the data so that different models learn complementary information. The experiments on a new cohort of data from 152 patients show that it is possible to predict pulmonary Long Covid sequelae with an accuracy of up to $$94\%$$ 94 % . As a further contribution, this work also publicly discloses the related data repository to foster research in this field.

Published
2024
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10. Projeto 'Histologia sem Artefato' contribui de forma efetiva para o aprendizado significativo dos discentes

Author

Milena Gbur Hochuli, Gabriela da Silva Panatta, Laura Bortolozzo Leitão, Bruna Daniel Rabelo, Franciely Vanessa Costa, Geovana Dagostim Savi-Bortolotto, Tiago Bortolotto, and Francielly Andressa Felipetti

Subjects
Histologia, Materiais de Ensino, Educação Médica, Education (General), L7-991, Medicine (General), R5-920
Abstract

RESUMO Introdução: Histologia é o estudo das células e dos tecidos biológicos que compõem os seres vivos. Apesar de sua fundamental importância, a histologia ainda é um campo de difícil compreensão para uma parcela considerável dos estudantes, e, por consequência, a aprendizagem de outras ciências correlatas também fica prejudicada. Objetivo: O presente estudo se dispôs a elaborar materiais didáticos de histologia, utilizá-los como facilitadores do processo ensino-aprendizagem e avaliar a percepção dos discentes da Universidade Federal de Santa Catarina acerca das ferramentas desenvolvidas. Método: Os materiais didáticos elaborados foram: apostila, banco de imagens, banco de casos clínicos e banco de mapas mentais. Para elaborá-los, utilizou-se o software Microsoft PowerPoint 2019. A exceção a essa forma de criação se deu somente com o banco de mapas mentais, o qual foi produzido com o aplicativo de mapeamento mental MindMeisteir. Distribuíram-se os materiais aos discentes que avaliaram suas contribuições para o aprendizado em histologia por meio de um questionário anônimo no formato Likert. Os dados foram compilados em tabelas utilizando o Microsoft Excel 2019 e analisados por meio de estatística descritiva. Resultado: Os materiais desenvolvidos pelo projeto foram avaliados majoritariamente como “bons”. Quanto à frequência de uso dos materiais, obteve-se as seguintes respostas: “quase sempre” ou “sempre”. A tendência da maioria dos voluntários foi concordar completamente, para todos os documentos avaliados, de que houve um impacto positivo do material no entendimento de histologia. Conclusão: O desenvolvimento de materiais pelo projeto “Histologia sem Artefato” auxiliou na construção de conhecimento dos alunos na grande área de histologia.

Published
2024
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11. Weyl sums with multiplicative coefficients and joint equidistribution

Author

Bordignon, Matteo, Bortolotto, Cynthia, and Kerr, Bryce

Subjects
Mathematics - Number Theory
Abstract

In this paper we generalize a result of Montgomery and Vaughan regarding exponential sums with multiplicative coefcients to the setting of Weyl sums. As applications, we establish a joint equidistribution result for roots of polynomial congruences and polynomial values and obtain some new results for mixed character sums., Comment: 41 pages

Published
2023

12. Perigos do Online Sports Betting

Author

Matheus Bortolotto Pansanato, Mariana Sampaio Silva Ferelli, Eduarda Kroenke Vasconcellos, and Henrique Orlovski Dziedicz

Subjects
jogos de azar, apostas online, apostas esportivas online, psiquiatria, conscientização, Psychiatry, RC435-571
Abstract

O vício em jogos de azar já é conhecido amplamente como problema de saúde mental. Atualmente, as apostas online vêm ganhando maiores adeptos pela facilidade de acesso e pelo desejo de lucro financeiro. A integração de apostas online com esportes tem elevado a participação dos brasileiros em jogos de azar online e, consequentemente, os problemas associados. Há alguns anos diversas discussões sobre regulamentação de apostas esportivas online vem acontecendo no país, e em maio de 2024 o Brasil regularizou os jogos de azar com a aprovação do PL 2.234/22, revertendo uma histórica proibição nacional. Devido ao forte apelo cultural do futebol, muitos sites de apostas têm se aproveitado da ausência de regulamentação oficial para atrair um número crescente de usuários. É crucial promover a conscientização sobre os riscos e o potencial de vício associados às práticas de apostas esportivas online.

Published
2024
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14. Lung bronchiectasisas a paradigm of the interplay between infection and colonization on plastic modulation of the pre-metastatic niche

Author

Lucrezia Pisanu, Klodjana Mucaj, Valentina Conio, Francesco Bertuccio, Ilaria Giana, Lorenzo Arlando, Marianna Russo, Simone Montini, Chandra Bortolotto, Angelo Guido Corsico, and Giulia Maria Stella

Subjects
cancer, microbiome, bronchiectasis, pre-metastatic niche, inflammation, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

The lungs are most often a preferential target organ for malignant spreading and growth. It is well known that chronic parenchymal inflammation and prolonged injuries represents an independent risk factor for cancer onset. Growing evidence supports the implication of lung microbiota in the pathogenesis of lung cancer. However, the full interplay between chronic inflammation, bacterial colonization, pathologic condition as bronchiectasis and malignant growth deserves better clarification. We here aim at presenting and analyzing original data and discussing the state-of-the-art on the knowledge regarding how this complex milieu acts on the plasticity of the lung pre-metastatic niche to point out the rationale for early diagnosis and therapeutic targeting.

Published
2024
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15. Study rationale and design of the PEOPLHE trial

Author

Milanese, Gianluca, Silva, Mario, Ledda, Roberta Eufrasia, Iezzi, Elisa, Bortolotto, Chandra, Mauro, Letizia Antonella, Valentini, Adele, Reali, Linda, Bottinelli, Olivia Maria, Ilardi, Adriana, Basile, Antonio, Palmucci, Stefano, Preda, Lorenzo, and Sverzellati, Nicola

Published
2024
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16. CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency

Author

Chandra Bortolotto, Alessandra Pinto, Francesca Brero, Gaia Messana, Raffaella Fiamma Cabini, Ian Postuma, Agnese Robustelli Test, Giulia Maria Stella, Giulia Galli, Manuel Mariani, Silvia Figini, Alessandro Lascialfari, Andrea Riccardo Filippi, Olivia Maria Bottinelli, and Lorenzo Preda

Subjects
Biomarkers, Lung neoplasms, Magnetic resonance imaging, Radiomics, Tomography (x-ray computed), Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Background Radiomics is a quantitative approach that allows the extraction of mineable data from medical images. Despite the growing clinical interest, radiomics studies are affected by variability stemming from analysis choices. We aimed to investigate the agreement between two open-source radiomics software for both contrast-enhanced computed tomography (CT) and contrast-enhanced magnetic resonance imaging (MRI) of lung cancers and to preliminarily evaluate the existence of radiomic features stable for both techniques. Methods Contrast-enhanced CT and MRI images of 35 patients affected with non-small cell lung cancer (NSCLC) were manually segmented and preprocessed using three different methods. Sixty-six Image Biomarker Standardisation Initiative-compliant features common to the considered platforms, PyRadiomics and LIFEx, were extracted. The correlation among features with the same mathematical definition was analyzed by comparing PyRadiomics and LIFEx (at fixed imaging technique), and MRI with CT results (for the same software). Results When assessing the agreement between LIFEx and PyRadiomics across the considered resampling, the maximum statistically significant correlations were observed to be 94% for CT features and 95% for MRI ones. When examining the correlation between features extracted from contrast-enhanced CT and MRI using the same software, higher significant correspondences were identified in 11% of features for both software. Conclusions Considering NSCLC, (i) for both imaging techniques, LIFEx and PyRadiomics agreed on average for 90% of features, with MRI being more affected by resampling and (ii) CT and MRI contained mostly non-redundant information, but there are shape features and, more importantly, texture features that can be singled out by both techniques. Relevance statement Identifying and selecting features that are stable cross-modalities may be one of the strategies to pave the way for radiomics clinical translation. Key points • More than 90% of LIFEx and PyRadiomics features contain the same information. • Ten percent of features (shape, texture) are stable among contrast-enhanced CT and MRI. • Software compliance and cross-modalities stability features are impacted by the resampling method. Graphical Abstract

Published
2024
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17. Situational analysis of hypertension management at primary health care level in São Paulo, Brazil: population, healthcare professional and health system perspectives

Author

Marta S. Palmeirim, Yara C. Baxter, Mariana Silveira, Rafael V. Maggion, Beatriz Aquino, Álvaro Avezum, Jasmina Saric, Louise Morgan, Luciano F. Drager, Luiz A. Bortolotto, Suely Miya S. Rollemberg, Marcia M. C. de Lima, Edmir P. R. Albuquerque, Olivia Jones, Peter Steinmann, Theresa Reiker, and Johannes Boch

Subjects
Hypertension, Cardiovascular diseases, Situational analysis, Primary health care, Brazil, Design thinking, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Government-led, population-wide initiatives are crucial for advancing the management of hypertension − a leading cause of cardiovascular disease (CVD) morbidity and mortality. An urban population health initiative was conducted against this backdrop, focussing on hypertension in the primary health system in São Paulo, Brazil. Within the frame of the initiative and under the supervision and leadership of the municipal health authorities, a situational analysis was conducted on the needs in hypertension management, marking the first phase of a Design Thinking process. This article describes the situational analysis process and presents the identified elements to be strengthened considering hypertension diagnosis, treatment and control. Methods First, a mixed-methods approach was used, starting with a literature review of municipal hypertension data followed by meetings (N = 20) with the local public health administration to assess health system level components. To investigate activities on hypertension diagnosis, treatment and control, nine primary healthcare units were selected from two districts of São Paulo city– Itaquera and Penha– which received an online form addressed to managers, participated in conversation circles of staff and patients, and underwent shadowing of community health agents. Results Data gave rise to two main outputs: (i) a patient care journey map; and (ii) a matrix summarizing the identified needs at patient, healthcare professional and health system level for diagnosis, treatment and control of hypertension. Patient awareness and knowledge of hypertension was found to be insufficient and its management needs to be improved. For health professionals, disease awareness, technical training, more time dedicated to patients, and simplified guidelines and clinical decision-making tools for hypertension management were identified as principal needs. The situational analysis found that the healthcare systems efficiency might be improved by establishing defined treatment and care delivery goals with a focus on outcomes and implemented through action plans. Conclusions This situational analysis identified several needs related to hypertension control in São Paulo that are in line with global challenges to improve the control of CVD risk factors. Findings were also confirmed locally in an expansion phase of this situational analysis to additional primary care facilities. As a consequence, solutions were designed, promptly taken up and implemented by the municipal health secretariat.

Published
2024
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18. Astroglial calcium signaling and homeostasis in tuberous sclerosis complex

Author

Romagnolo, Alessia, Dematteis, Giulia, Scheper, Mirte, Luinenburg, Mark J., Mühlebner, Angelika, Van Hecke, Wim, Manfredi, Marcello, De Giorgis, Veronica, Reano, Simone, Filigheddu, Nicoletta, Bortolotto, Valeria, Tapella, Laura, Anink, Jasper J., François, Liesbeth, Dedeurwaerdere, Stefanie, Mills, James D., Genazzani, Armando A., Lim, Dmitry, and Aronica, Eleonora

Published
2024
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19. Correction to: Dirofilaria immitis and Onchocercidae spp. in wild felids from Brazil

Author

Fagundes‑Moreira, Renata, Bezerra‑Santos, Marcos Antônio, May‑Junior, Joares Adenilson, Berger, Laura, Baggio‑Souza, Vinicius, Souza, Ugo Araújo, Bilhalva, Lina Crespo, Reis, Adeyldes Oliveira, Wagner, Paulo Guilherme Carniel, Peters, Felipe Bortolotto, Favarini, Marina Ochoa, Albano, Ana Paula N., Sartorello, Leonardo, Rampim, Lilian E., Tirelli, Flavia Pereira, Otranto, Domenico, and Soares, João Fabio

Published
2024
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20. Dirofilaria immitis and Onchocercidae spp. in wild felids from Brazil

Author

Fagundes-Moreira, Renata, Bezerra-Santos, Marcos Antônio, May-Junior, Joares Adenilson, Berger, Laura, Baggio-Souza, Vinicius, Souza, Ugo Araújo, Bilhalva, Lina Crespo, Reis, Adeyldes Oliveira, Wagner, Paulo Guilherme Carniel, Peters, Felipe Bortolotto, Favarini, Marina Ochoa, Albano, Ana Paula N., Sartorello, Leonardo, Rampim, Lilian E., Tirelli, Flavia Pereira, Otranto, Domenico, and Soares, João Fabio

Published
2024
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21. Implicações da descriminalização da maconha no contexto psiquiátrico brasileiro

Author

Matheus Bortolotto Pansanato, Caroline Saori Matsumi Fukunaga, Pedro Henrique Pereira Alvim, and Carolina Parise do Amaral

Subjects
maconha, descriminalização da maconha, psiquiatria, intoxicação, conscientização, cannabis, Psychiatry, RC435-571
Abstract

A maconha é uma das substâncias psicoativas mais utilizadas no mundo e tem sido alvo de debate sua descriminalização no Brasil, através da retomada do processo que julga essa pauta no dia 6 de Março de 2024. Entendendo a relevância desse tema e suas possíveis consequências no contexto psiquiátrico brasileiro, por meio desse breve apanhado na literatura, buscamos elucidar possíveis prejuízos a partir dessa decisão no aspecto de saúde mental, analisando estudos que avaliaram os impactos da descriminalização em outros países. A partir dos dados expostos, reiteramos a importância políticas públicas de conscientização e reforçamos a necessidade de participação de entidades e autoridades em psiquiatria nessa decisão.

Published
2024
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24. Motivation as Ethical Self-Formation in Learning te reo Maori as a Second Language

Author

Berardi-Wiltshire, Arianna, Bortolotto, María Celina, and Morris, Hone

Abstract

This article explores the motivation of non-Maori learners of te reo Maori as an L2. Inspired by calls for contextualised investigations of the L2 motivation of learners of LOTEs, our study utilises an "ethical self-formation framework" [Hennig, B. B. 2010a. "Language Learning and the Self: Exploring Hong Kong Students' Motivation for Learning German as a Third Language from a Foucauldian Ethical Perspective." Doctoral diss., University of Hong Kong. https://bibliography.lib.eduhk.hk/tc/bibs/fdb173c8] to analyse data from semi-structured interviews with 10 learners enrolled in a voluntary course of Maori language for staff at a New Zealand university. Through a discussion of findings associated with three of the framework's axes ("ethical substance, mode of subjection and telos"), we offer an interpretation of the learners' L2 motivation as linked to a self-directed process aimed at achieving an improved version of themselves, and of this process of self-formation as rooted in personal belief systems about the value of te reo Maori in their personal and professional lives and for New Zealand as a whole. Overall, the ethical self-formation framework emerges as a useful lens for highlighting the links between the learners' L2 motivation, their personal connections with te reo Maori and their sense of membership in an ideal collective New Zealand identity, and for exploring dimensions of the convergence of the personal and the societal in L2 motivation.

Published
2023
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26. Estudo de elementos meteorológicos no Ensino de Ciências na Educação Básica

Author

Janaina Viário Carneiro, Lavinia Rodrigues Chagas, Matheus Souza Bortolotto, and Franciele Braz de Oliveira Coelho

Subjects
Instrumentos meterológicos, atividade prática experimental, Programa Residência Pedagógica, Education (General), L7-991, Special aspects of education, LC8-6691
Abstract

Este trabalho descreve a execução de uma proposta de ensino sobre o tema “Clima e Tempo” elaborado com a perspectiva de relacionar teoria e prática dos conceitos envolvidos para confecção de instrumentos meteorológicos. Nas atividades propostas, a metodologia dos Três Momentos Pedagógicos constituiu a organização das tarefas, promovendo a participação ativa dos estudantes. A aplicação se deu em uma turma de oitavo ano do Ensino Fundamental, através do Programa de Residência Pedagógica (PRP) - núcleo Interdisciplinar de Ciências vinculado ao curso de Ciências da Natureza Licenciatura da Universidade Federal do Pampa Campus Dom Pedrito. A formação docente inicial em Ciências da Natureza, prevê o exercício da docência nos anos finais do Ensino Fundamental e Médio, sob uma perspectiva interdisciplinar articulada à Educação Básica, com a promoção da pesquisa e reflexão entre teoria e prática nas diferentes áreas do conhecimento científico. O PRP tem o objetivo contribuir para o aperfeiçoamento da formação inicial de professores da Educação Básica nos cursos de licenciatura, assim, promovendo possibilidades de colaboração entre a Universidade, escolas e acadêmicos(as) licenciandos(as). A execução desta proposta teve como principais resultados: promoção de um conjunto de atividades que propiciaram a compreensão de conceitos relacionados ao tema clima e tempo; desenvolvimento de uma proposta de ensino alinhada à BNCC da área nos anos finais do EF.

Published
2024
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27. Diretrizes Brasileiras de Medidas da Pressão Arterial Dentro e Fora do Consultório – 2023

Author

Audes Diogenes de Magalhães Feitosa, Weimar Kunz Sebba Barroso, Decio Mion Junior, Fernando Nobre, Marco Antonio Mota-Gomes, Paulo Cesar Brandão Veiga Jardim, Celso Amodeo, Adriana Camargo Oliveira, Alexandre Alessi, Ana Luiza Lima Sousa, Andréa Araujo Brandão, Andrea Pio-Abreu, Andrei C. Sposito, Angela Maria Geraldo Pierin, Annelise Machado Gomes de Paiva, Antonio Carlos de Souza Spinelli, Carlos Alberto Machado, Carlos Eduardo Poli-de-Figueiredo, Cibele Isaac Saad Rodrigues, Claudia Lucia de Moraes Forjaz, Diogo Pereira Santos Sampaio, Eduardo Costa Duarte Barbosa, Elizabete Viana de Freitas, Elizabeth do Espirito Santo Cestario, Elizabeth Silaid Muxfeldt, Emilton Lima Júnior, Erika Maria Gonçalves Campana, Fabiana Gomes Aragão Magalhães Feitosa, Fernanda Marciano Consolim-Colombo, Fernando Antônio de Almeida, Giovanio Vieira da Silva, Heitor Moreno Júnior, Helius Carlos Finimundi, Isabel Cristina Britto Guimarães, João Roberto Gemelli, José Augusto Soares Barreto-Filho, José Fernando Vilela-Martin, José Marcio Ribeiro, Juan Carlos Yugar-Toledo, Lucélia Batista Neves Cunha Magalhães, Luciano F. Drager, Luiz Aparecido Bortolotto, Marco Antonio de Melo Alves, Marcus Vinícius Bolívar Malachias, Mario Fritsch Toros Neves, Mayara Cedrim Santos, Nelson Dinamarco, Osni Moreira Filho, Oswaldo Passarelli Júnior, Priscila Valverde de Oliveira Vitorino, Roberto Dischinger Miranda, Rodrigo Bezerra, Rodrigo Pinto Pedrosa, Rogerio Baumgratz de Paula, Rogério Toshiro Passos Okawa, Rui Manuel dos Santos Póvoa, Sandra C. Fuchs, Sandro Gonçalves de Lima, Sayuri Inuzuka, Sebastião Rodrigues Ferreira-Filho, Silvio Hock de Paffer Fillho, Thiago de Souza Veiga Jardim, Vanildo da Silva Guimarães Neto, Vera Hermina Kalika Koch, Waléria Dantas Pereira Gusmão, Wille Oigman, and Wilson Nadruz Junior

Subjects
Diseases of the circulatory (Cardiovascular) system, RC666-701
Published
2024
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28. Erratum to: Search for exclusive Higgs and Z boson decays to ϕγ and ργ with the ATLAS detector

Author

The ATLAS collaboration, M. Aaboud, G. Aad, B. Abbott, O. Abdinov, B. Abeloos, S. H. Abidi, O. S. AbouZeid, N. L. Abraham, H. Abramowicz, H. Abreu, R. Abreu, Y. Abulaiti, B. S. Acharya, S. Adachi, L. Adamczyk, J. Adelman, M. Adersberger, T. Adye, A. A. Affolder, Y. Afik, T. Agatonovic-Jovin, C. Agheorghiesei, J. A. Aguilar-Saavedra, S. P. Ahlen, F. Ahmadov, G. Aielli, S. Akatsuka, H. Akerstedt, T. P. A. Åkesson, E. Akilli, A. V. Akimov, G. L. Alberghi, J. Albert, P. Albicocco, M. J. Alconada Verzini, S. C. Alderweireldt, M. Aleksa, I. N. Aleksandrov, C. Alexa, G. Alexander, T. Alexopoulos, M. Alhroob, B. Ali, M. Aliev, G. Alimonti, J. Alison, S. P. Alkire, B. M. M. Allbrooke, B. W. Allen, P. P. Allport, A. Aloisio, A. Alonso, F. Alonso, C. Alpigiani, A. A. Alshehri, M. I. Alstaty, B. Alvarez Gonzalez, D. Álvarez Piqueras, M. G. Alviggi, B. T. Amadio, Y. Amaral Coutinho, C. Amelung, D. Amidei, S. P. Amor Dos Santos, S. Amoroso, G. Amundsen, C. Anastopoulos, L. S. Ancu, N. Andari, T. Andeen, C. F. Anders, J. K. Anders, K. J. Anderson, A. Andreazza, V. Andrei, S. Angelidakis, I. Angelozzi, A. Angerami, A. V. Anisenkov, N. Anjos, A. Annovi, C. Antel, M. Antonelli, A. Antonov, D. J. Antrim, F. Anulli, M. Aoki, L. Aperio Bella, G. Arabidze, Y. Arai, J. P. Araque, V. Araujo Ferraz, A. T. H. Arce, R. E. Ardell, F. A. Arduh, J-F. Arguin, S. Argyropoulos, M. Arik, A. J. Armbruster, L. J. Armitage, O. Arnaez, H. Arnold, M. Arratia, O. Arslan, A. Artamonov, G. Artoni, S. Artz, S. Asai, N. Asbah, A. Ashkenazi, L. Asquith, K. Assamagan, R. Astalos, M. Atkinson, N. B. Atlay, K. Augsten, G. Avolio, B. Axen, M. K. Ayoub, G. Azuelos, A. E. Baas, M. J. Baca, H. Bachacou, K. Bachas, M. Backes, P. Bagnaia, M. Bahmani, H. Bahrasemani, J. T. Baines, M. Bajic, O. K. Baker, P. J. Bakker, E. M. Baldin, P. Balek, F. Balli, W. K. Balunas, E. Banas, A. Bandyopadhyay, Sw. Banerjee, A. A. E. Bannoura, L. Barak, E. L. Barberio, D. Barberis, M. Barbero, T. Barillari, M.-S. Barisits, J. T. Barkeloo, T. Barklow, N. Barlow, S. L. Barnes, B. M. Barnett, R. M. Barnett, Z. Barnovska-Blenessy, A. Baroncelli, G. Barone, A. J. Barr, L. Barranco Navarro, F. Barreiro, J. Barreiro Guimarães da Costa, R. Bartoldus, A. E. Barton, P. Bartos, A. Basalaev, A. Bassalat, R. L. Bates, S. J. Batista, J. R. Batley, M. Battaglia, M. Bauce, F. Bauer, H. S. Bawa, J. B. Beacham, M. D. Beattie, T. Beau, P. H. Beauchemin, P. Bechtle, H. P. Beck, H. C. Beck, K. Becker, M. Becker, C. Becot, A. J. Beddall, A. Beddall, V. A. Bednyakov, M. Bedognetti, C. P. Bee, T. A. Beermann, M. Begalli, M. Begel, J. K. Behr, A. S. Bell, G. Bella, L. Bellagamba, A. Bellerive, M. Bellomo, K. Belotskiy, O. Beltramello, N. L. Belyaev, O. Benary, D. Benchekroun, M. Bender, N. Benekos, Y. Benhammou, E. Benhar Noccioli, J. Benitez, D. P. Benjamin, M. Benoit, J. R. Bensinger, S. Bentvelsen, L. Beresford, M. Beretta, D. Berge, E. Bergeaas Kuutmann, N. Berger, L. J. Bergsten, J. Beringer, S. Berlendis, N. R. Bernard, G. 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Boyko, A. J. Bozson, J. Bracinik, A. Brandt, G. Brandt, O. Brandt, F. Braren, U. Bratzler, B. Brau, J. E. Brau, W. D. Breaden Madden, K. Brendlinger, A. J. Brennan, L. Brenner, R. Brenner, S. Bressler, D. L. Briglin, T. M. Bristow, D. Britton, D. Britzger, F. M. Brochu, I. Brock, R. Brock, G. Brooijmans, T. Brooks, W. K. Brooks, J. Brosamer, E. Brost, J. H. Broughton, P. A. Bruckman de Renstrom, D. Bruncko, A. Bruni, G. Bruni, L. S. Bruni, S. Bruno, B. H. Brunt, M. Bruschi, N. Bruscino, P. Bryant, L. Bryngemark, T. Buanes, Q. Buat, P. Buchholz, A. G. Buckley, I. A. Budagov, F. Buehrer, M. K. Bugge, O. Bulekov, D. Bullock, T. J. Burch, S. Burdin, C. D. Burgard, A. M. Burger, B. Burghgrave, K. Burka, S. Burke, I. Burmeister, J. T. P. Burr, D. Büscher, V. Büscher, P. Bussey, J. M. Butler, C. M. Buttar, J. M. Butterworth, P. Butti, W. Buttinger, A. Buzatu, A. R. Buzykaev, S. Cabrera Urbán, D. Caforio, H. Cai, V. M. Cairo, O. Cakir, N. Calace, P. Calafiura, A. Calandri, G. Calderini, P. 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Chavez Barajas, S. Che, S. Cheatham, A. Chegwidden, S. Chekanov, S. V. Chekulaev, G. A. Chelkov, M. A. Chelstowska, C. Chen, H. Chen, J. Chen, S. Chen, X. Chen, Y. Chen, H. C. Cheng, H. J. Cheng, A. Cheplakov, E. Cheremushkina, R. Cherkaoui El Moursli, E. Cheu, K. Cheung, L. Chevalier, V. Chiarella, G. Chiarelli, G. Chiodini, A. S. Chisholm, A. Chitan, Y. H. Chiu, M. V. Chizhov, K. Choi, A. R. Chomont, S. Chouridou, Y. S. Chow, V. Christodoulou, M. C. Chu, J. Chudoba, A. J. Chuinard, J. J. Chwastowski, L. Chytka, A. K. Ciftci, D. Cinca, V. Cindro, I. A. Cioară, A. Ciocio, F. Cirotto, Z. H. Citron, M. Citterio, M. Ciubancan, A. Clark, B. L. Clark, M. R. Clark, P. J. Clark, R. N. Clarke, C. Clement, Y. Coadou, M. Cobal, A. Coccaro, J. Cochran, L. Colasurdo, B. Cole, A. P. Colijn, J. Collot, T. Colombo, P. Conde Muiño, E. Coniavitis, S. H. Connell, I. A. Connelly, S. Constantinescu, G. Conti, F. Conventi, M. Cooke, A. M. Cooper-Sarkar, F. Cormier, K. J. R. Cormier, M. Corradi, F. 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Scutti, J. Searcy, P. Seema, S. C. Seidel, A. Seiden, J. M. Seixas, G. Sekhniaidze, K. Sekhon, S. J. Sekula, N. Semprini-Cesari, S. Senkin, C. Serfon, L. Serin, L. Serkin, M. Sessa, R. Seuster, H. Severini, T. Šfiligoj, F. Sforza, A. Sfyrla, E. Shabalina, N. W. Shaikh, L. Y. Shan, R. Shang, J. T. Shank, M. Shapiro, P. B. Shatalov, K. Shaw, S. M. Shaw, A. Shcherbakova, C. Y. Shehu, Y. Shen, N. Sherafati, A. D. Sherman, P. Sherwood, L. Shi, S. Shimizu, C. O. Shimmin, M. Shimojima, I. P. J. Shipsey, S. Shirabe, M. Shiyakova, J. Shlomi, A. Shmeleva, D. Shoaleh Saadi, M. J. Shochet, S. Shojaii, D. R. Shope, S. Shrestha, E. Shulga, M. A. Shupe, P. Sicho, A. M. Sickles, P. E. Sidebo, E. Sideras Haddad, O. Sidiropoulou, A. Sidoti, F. Siegert, Dj. Sijacki, J. Silva, S. B. Silverstein, V. Simak, L. Simic, S. Simion, E. Simioni, B. Simmons, M. Simon, P. Sinervo, N. B. Sinev, M. Sioli, G. Siragusa, I. Siral, S. Yu. Sivoklokov, J. Sjölin, M. B. Skinner, P. Skubic, M. Slater, T. Slavicek, M. Slawinska, K. Sliwa, R. Slovak, V. Smakhtin, B. H. Smart, J. Smiesko, N. Smirnov, S. Yu. Smirnov, Y. Smirnov, L. N. Smirnova, O. Smirnova, J. W. Smith, M. N. K. Smith, R. W. Smith, M. Smizanska, K. Smolek, A. A. Snesarev, I. M. Snyder, S. Snyder, R. Sobie, F. Socher, A. Soffer, A. Søgaard, D. A. Soh, G. Sokhrannyi, C. A. Solans Sanchez, M. Solar, E. Yu. Soldatov, U. Soldevila, A. A. Solodkov, A. Soloshenko, O. V. Solovyanov, V. Solovyev, P. Sommer, H. Son, A. Sopczak, D. Sosa, C. L. Sotiropoulou, S. Sottocornola, R. Soualah, A. M. Soukharev, D. South, B. C. Sowden, S. Spagnolo, M. Spalla, M. Spangenberg, F. Spanò, D. Sperlich, F. Spettel, T. M. Spieker, R. Spighi, G. Spigo, L. A. Spiller, M. Spousta, R. D. St. Denis, A. Stabile, R. Stamen, S. Stamm, E. Stanecka, R. W. Stanek, C. Stanescu, M. M. Stanitzki, B. S. Stapf, S. Stapnes, E. A. Starchenko, G. H. Stark, J. Stark, S. H. Stark, P. Staroba, P. Starovoitov, S. Stärz, R. Staszewski, M. Stegler, P. Steinberg, B. Stelzer, H. J. Stelzer, O. Stelzer-Chilton, H. Stenzel, T. J. Stevenson, G. A. Stewart, M. C. Stockton, M. Stoebe, G. Stoicea, P. Stolte, S. Stonjek, A. R. Stradling, A. Straessner, M. E. Stramaglia, J. Strandberg, S. Strandberg, M. Strauss, P. Strizenec, R. Ströhmer, D. M. Strom, R. Stroynowski, A. Strubig, S. A. Stucci, B. Stugu, N. A. Styles, D. Su, J. Su, S. Suchek, Y. Sugaya, M. Suk, V. V. Sulin, D. M. S. Sultan, S. Sultansoy, T. Sumida, S. Sun, X. Sun, K. Suruliz, C. J. E. Suster, M. R. Sutton, S. Suzuki, M. Svatos, M. Swiatlowski, S. P. Swift, I. Sykora, T. Sykora, D. Ta, K. Tackmann, J. Taenzer, A. Taffard, R. Tafirout, E. Tahirovic, N. Taiblum, H. Takai, R. Takashima, E. H. Takasugi, K. Takeda, T. Takeshita, Y. Takubo, M. Talby, A. A. Talyshev, J. Tanaka, M. Tanaka, R. Tanaka, S. Tanaka, R. Tanioka, B. B. Tannenwald, S. Tapia Araya, S. Tapprogge, S. Tarem, G. F. Tartarelli, P. Tas, M. Tasevsky, T. Tashiro, E. Tassi, A. Tavares Delgado, Y. Tayalati, A. C. Taylor, A. J. Taylor, G. N. Taylor, P. T. E. Taylor, W. Taylor, P. Teixeira-Dias, D. Temple, H. Ten Kate, P. K. Teng, J. J. Teoh, F. Tepel, S. Terada, K. Terashi, J. Terron, S. Terzo, M. Testa, R. J. Teuscher, S. J. Thais, T. Theveneaux-Pelzer, F. Thiele, J. P. Thomas, J. Thomas-Wilsker, P. D. Thompson, A. S. Thompson, L. A. Thomsen, E. Thomson, Y. Tian, M. J. Tibbetts, R. E. Ticse Torres, V. O. Tikhomirov, Yu. A. Tikhonov, S. Timoshenko, P. Tipton, S. Tisserant, K. Todome, S. Todorova-Nova, S. Todt, J. Tojo, S. Tokár, K. Tokushuku, E. Tolley, L. Tomlinson, M. Tomoto, L. Tompkins, K. Toms, B. Tong, P. Tornambe, E. Torrence, H. Torres, E. Torró Pastor, J. Toth, F. Touchard, D. R. Tovey, C. J. Treado, T. Trefzger, F. Tresoldi, A. Tricoli, I. M. Trigger, S. Trincaz-Duvoid, M. F. Tripiana, W. Trischuk, B. Trocmé, A. Trofymov, C. Troncon, M. Trottier-McDonald, M. Trovatelli, L. Truong, M. Trzebinski, A. Trzupek, K. W. Tsang, J. C-L. Tseng, P. V. Tsiareshka, N. Tsirintanis, S. Tsiskaridze, V. Tsiskaridze, E. G. Tskhadadze, I. I. Tsukerman, V. Tsulaia, S. Tsuno, D. Tsybychev, Y. Tu, A. Tudorache, V. Tudorache, T. T. Tulbure, A. N. Tuna, S. Turchikhin, D. Turgeman, I. Turk Cakir, R. Turra, P. M. Tuts, G. Ucchielli, I. Ueda, M. Ughetto, F. Ukegawa, G. Unal, A. Undrus, G. Unel, F. C. Ungaro, Y. Unno, K. Uno, C. Unverdorben, J. Urban, P. Urquijo, P. Urrejola, G. Usai, J. Usui, L. Vacavant, V. Vacek, B. Vachon, K. O. H. Vadla, A. Vaidya, C. Valderanis, E. Valdes Santurio, M. Valente, S. Valentinetti, A. Valero, L. Valéry, S. Valkar, A. Vallier, J. A. Valls Ferrer, W. Van Den Wollenberg, H. van der Graaf, P. van Gemmeren, J. Van Nieuwkoop, I. van Vulpen, M. C. van Woerden, M. Vanadia, W. Vandelli, A. Vaniachine, P. Vankov, G. Vardanyan, R. Vari, E. W. Varnes, C. Varni, T. Varol, D. Varouchas, A. Vartapetian, K. E. Varvell, J. G. Vasquez, G. A. Vasquez, F. Vazeille, D. Vazquez Furelos, T. Vazquez Schroeder, J. Veatch, V. Veeraraghavan, L. M. Veloce, F. Veloso, S. Veneziano, A. Ventura, M. Venturi, N. Venturi, A. Venturini, V. Vercesi, M. Verducci, W. Verkerke, A. T. Vermeulen, J. C. Vermeulen, M. C. Vetterli, N. Viaux Maira, O. Viazlo, I. Vichou, T. Vickey, O. E. Vickey Boeriu, G. H. A. Viehhauser, S. Viel, L. Vigani, M. Villa, M. Villaplana Perez, E. Vilucchi, M. G. Vincter, V. B. Vinogradov, A. Vishwakarma, C. Vittori, I. Vivarelli, S. Vlachos, M. Vogel, P. Vokac, G. Volpi, H. von der Schmitt, E. von Toerne, V. Vorobel, K. Vorobev, M. Vos, R. Voss, J. H. Vossebeld, N. Vranjes, M. Vranjes Milosavljevic, V. Vrba, M. Vreeswijk, R. Vuillermet, I. Vukotic, P. Wagner, W. Wagner, J. Wagner-Kuhr, H. Wahlberg, S. Wahrmund, K. Wakamiya, J. Walder, R. Walker, W. Walkowiak, V. Wallangen, C. Wang, F. Wang, H. Wang, J. Wang, Q. Wang, R.-J. Wang, R. Wang, S. M. Wang, T. Wang, W. Wang, Z. Wang, C. Wanotayaroj, A. Warburton, C. P. Ward, D. R. Wardrope, A. Washbrook, P. M. Watkins, A. T. Watson, M. F. Watson, G. Watts, S. Watts, B. M. Waugh, A. F. Webb, S. Webb, M. S. Weber, S. M. Weber, S. W. Weber, S. A. Weber, J. S. Webster, A. R. Weidberg, B. Weinert, J. Weingarten, M. Weirich, C. Weiser, H. Weits, P. S. Wells, T. Wenaus, T. Wengler, S. Wenig, N. Wermes, M. D. Werner, P. Werner, M. Wessels, T. D. Weston, K. Whalen, N. L. Whallon, A. M. Wharton, A. S. White, A. White, M. J. White, R. White, D. Whiteson, B. W. Whitmore, F. J. Wickens, W. Wiedenmann, M. Wielers, C. Wiglesworth, L. A. M. Wiik-Fuchs, A. Wildauer, F. Wilk, H. G. Wilkens, H. H. Williams, S. Williams, C. Willis, S. Willocq, J. A. Wilson, I. Wingerter-Seez, E. Winkels, F. Winklmeier, O. J. Winston, B. T. Winter, M. Wittgen, M. Wobisch, A. Wolf, T. M. H. Wolf, R. Wolff, M. W. Wolter, H. Wolters, V. W. S. Wong, N. L. Woods, S. D. Worm, B. K. Wosiek, J. Wotschack, K. W. Wozniak, M. Wu, S. L. Wu, X. Wu, Y. Wu, T. R. Wyatt, B. M. Wynne, S. Xella, Z. Xi, L. Xia, D. Xu, L. Xu, T. Xu, W. Xu, B. Yabsley, S. Yacoob, D. Yamaguchi, Y. Yamaguchi, A. Yamamoto, S. Yamamoto, T. Yamanaka, F. Yamane, M. Yamatani, T. Yamazaki, Y. Yamazaki, Z. Yan, H. Yang, Y. Yang, Z. Yang, W-M. Yao, Y. C. Yap, Y. Yasu, E. Yatsenko, K. H. Yau Wong, J. Ye, S. Ye, I. Yeletskikh, E. Yigitbasi, E. Yildirim, K. Yorita, K. Yoshihara, C. Young, C. J. S. Young, J. Yu, S. P. Y. Yuen, I. Yusuff, B. Zabinski, G. Zacharis, R. Zaidan, A. M. Zaitsev, N. Zakharchuk, J. Zalieckas, A. Zaman, S. Zambito, D. Zanzi, C. Zeitnitz, G. Zemaityte, A. Zemla, J. C. Zeng, Q. Zeng, O. Zenin, T. Ženiš, D. Zerwas, D. Zhang, F. Zhang, G. Zhang, H. Zhang, J. Zhang, L. Zhang, M. Zhang, P. Zhang, R. Zhang, X. Zhang, Y. Zhang, Z. Zhang, X. Zhao, Y. Zhao, Z. Zhao, A. Zhemchugov, B. Zhou, C. Zhou, L. Zhou, M. Zhou, N. Zhou, Y. Zhou, C. G. Zhu, H. Zhu, J. Zhu, Y. Zhu, X. Zhuang, K. Zhukov, A. Zibell, D. Zieminska, N. I. Zimine, C. Zimmermann, S. Zimmermann, Z. Zinonos, M. Zinser, M. Ziolkowski, L. Živković, G. Zobernig, A. Zoccoli, R. Zou, M. zur Nedden, and L. Zwalinski

Subjects
Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Published
2023
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29. Reflections from design methodology, didactic strategies for project practice's teaching

Author

Leonardo Federico Bortolotto

Subjects
architecture, cognition, education, educational strategies, professional training, Architecture, NA1-9428
Abstract

This article constitutes a reflection on partial results of an ongoing doctoral thesis. We intend to assess the potential of developments in design methodology studies that were originally discussed at Portsmouth Symposium. These are reviewed and re-signified as alternatives for the construction of didactic strategies in teaching contemporary project practice. Being conceived as a particular dimension of teaching architecture, it constitutes a specific teaching object. Working with design methodology approaches allows us to build some tools for externalizing students’ questions that arise along the practice learning. This also brings out their positions on a project problem and the applied design decisions. This constitutes a series of concrete alternatives for teaching as regards the orientation/guidance to be provided in the development of the skills required for the project practice.

Published
2023
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32. Cutoff Values of Aldosterone and the Aldosterone–Renin Ratio for Predicting Primary Aldosteronism in Patients with Resistant Hypertension: A Real-Life Study

Author

João Vicente da Silveira, Carine Sangaleti, Cleber Camacho, Ana Alice Wolf Maciel, Maria Claudia Irigoyen, Thiago Macedo, José Jayme G. De Lima, Luciano F. Drager, Luiz Aparecido Bortolotto, Heno Ferreira Lopes, Madson Q. Almeida, Brent M. Egan, and Fernanda Marciano Consolim-Colombo

Subjects
primary aldosteronism, secondary hypertension, aldosterone–renin ratio, aldosterone, apparently resistant hypertension, reference value, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Primary aldosteronism (PA) is commonly associated with resistant hypertension. Biochemical tests can be clinically useful in the screening and diagnosis of primary aldosteronism. This study aimed to identify the cutoff values of aldosterone levels (A) and the aldosterone–renin ratio (ARR) for an accurate prediction of PA in patients with apparent resistant hypertension in a real-life scenario. This database-based study included a historical cohort of male and female patients with apparent resistant hypertension, aged 18 years or older and surveyed for PA in a specialized center from 2008 to 2018. Aldosterone and plasma renin activity (PRA) or the plasma renin concentration (PRC) were measured in the treated hypertensive patients. The patients with positive screening results were subsequently referred to the endocrinology department for confirmatory tests. The patients with confirmed PA were included in the case group, and the others remained as controls. Receiver-operating characteristic (ROC) curves were used to identify the cutoff points for aldosterone and the ARR, thereby analyzing their sensitivity and specificity for confirmed PA. Among the 3464 patients (59 ± 13 years old, 41% male) who had apparent resistance hypertension screened, PA was confirmed in 276 individuals (8%). A ≥ 16.95 ng/dL (95% CI: 0.908–0.933) had an odds ratio of 6.24 for PA, while A/PRA ≥ 29.88 (95% CI: 0.942–0.984) or an A/PRC ≥ 2.44 (95% CI: 0.978–0.990) had an odds ratio of 216.17 for PA diagnoses. Our findings suggest that a positive PA screening with aldosterone ≥ 17 ng/dL associated with A/PRA ≥ 29.88 or an A/PRC ratio of ≥2.44 should be sufficient to confirm the diagnosis of PA without confirmatory testing.

Published
2024
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33. The Bioactive Gamma-Oryzanol from Oryza sativa L. Promotes Neuronal Differentiation in Different In Vitro and In Vivo Models

Author

Giulia Abate, Alex Pezzotta, Mariachiara Pucci, Valeria Bortolotto, Giovanni Ribaudo, Sara A. Bonini, Andrea Mastinu, Giuseppina Maccarinelli, Alberto Ongaro, Emanuela Tirelli, Daniela Zizioli, Alessandra Gianoncelli, Maurizio Memo, Mariagrazia Grilli, and Daniela Uberti

Subjects
gamma-oryzanol, phytocomplex, natural Nrf2 inducers, neural progenitor cells, zebrafish model, molecular docking, Therapeutics. Pharmacology, RM1-950
Abstract

Gamma-oryzanol (ORY), found in rice (Oryza sativa L.), is a mixture of ferulic acid esters with triterpene alcohols, well-known for its antioxidant and anti-inflammatory properties. Our past research demonstrated its positive impact on cognitive function in adult mice, influencing synaptic plasticity and neuroprotection. In this study, we explored whether ORY can exert neuro-differentiating effects by using different experimental models. For this purpose, chemical characterization identified four components that are most abundant in ORY. In human neuroblastoma cells, we showed ORY’s ability to stimulate neurite outgrowth, upregulating the expression of GAP43, BDNF, and TrkB genes. In addition, ORY was found to guide adult mouse hippocampal neural progenitor cells (NPCs) toward a neuronal commitment. Microinjection of ORY in zebrafish Tg (-3.1 neurog1:GFP) amplified neurog1-GFP signal, islet1, and bdnf mRNA levels. Zebrafish nrf2a and nrf2b morphants (MOs) were utilized to assess ORY effects in the presence or absence of Nrf2. Notably, ORY’s ability to activate bdnf was nullified in nrf2a-MO and nrf2b-MO. Furthermore, computational analysis suggested ORY’s single components have different affinities for the Keap1-Kelch domain. In conclusion, although more in-depth studies are needed, our findings position ORY as a potential source of bioactive molecules with neuro-differentiating potential involving the Nrf2 pathway.

Published
2024
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37. Occurrence and characteristics of elderly With Covid-19 in southern Brazil

Author

Luana Schayene Wagner, Gabrieli de Fátima Prudêncio, Juliana Lemes dos Santos, Tatiana Mugnol, Diego Pascoal Golle, Josiane Woutheres Bortolotto, Mariana Migliorini Parisi, and Janaina Coser

Subjects
Medicine (General), R5-920
Abstract

This study aimed to describe the occurrence of COVID-19 in elderly patients treated at public health services in southern Brazil cities and their clinical and sociodemographic characteristics. This is a cross-sectional, observational, and retrospective study. From July 2020 to May 2021, medical records of elderly patients who underwent a test for COVID-19 at the molecular diagnostics laboratory of the University of Cruz Alta were selected. 310 elderly patients, with an average age of 60 to 99 years, were included in the study. Information was collected regarding the result of the RT-qPCR test, gender, symptoms, and comorbidities. We identified that 24.2% of the elderly evaluated in the study had a positive molecular diagnosis for COVID-19. The average age of the sample studied was 69 years (±8.89). Females had a higher proportion of positive cases (69.3%) compared to males (30.7%) (p=0.017). A higher proportion of individuals infected with SARS-Cov2 among those who reported cough, fever >37°C and pre-existing cardiovascular diseases (p = 0.028; 0.015; 0.017 respectively) was also identified. Learning the clinical and sociodemographic profile of the elderly with COVID-19 can contribute to strategies for care and prevention of the disease in this group. The study findings indicate that greater attention should be given to the elderly with heart diseases and those who have fevers and coughs.

Published
2024
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38. AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Author

Soda, Paolo, D'Amico, Natascha Claudia, Tessadori, Jacopo, Valbusa, Giovanni, Guarrasi, Valerio, Bortolotto, Chandra, Akbar, Muhammad Usman, Sicilia, Rosa, Cordelli, Ermanno, Fazzini, Deborah, Cellina, Michaela, Oliva, Giancarlo, Callea, Giovanni, Panella, Silvia, Cariati, Maurizio, Cozzi, Diletta, Miele, Vittorio, Stellato, Elvira, Carrafiello, Gian Paolo, Castorani, Giulia, Simeone, Annalisa, Preda, Lorenzo, Iannello, Giulio, Del Bue, Alessio, Tedoldi, Fabio, Alì, Marco, Sona, Diego, and Papa, Sergio

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading very rapidly and few months after the identification of the first infected, shortage of hospital resources quickly became a problem. In this work we investigate whether chest X-ray (CXR) can be used as a possible tool for the early identification of patients at risk of severe outcome, like intensive care or death. CXR is a radiological technique that compared to computed tomography (CT) it is simpler, faster, more widespread and it induces lower radiation dose. We present a dataset including data collected from 820 patients by six Italian hospitals in spring 2020 during the first COVID-19 emergency. The dataset includes CXR images, several clinical attributes and clinical outcomes. We investigate the potential of artificial intelligence to predict the prognosis of such patients, distinguishing between severe and mild cases, thus offering a baseline reference for other researchers and practitioners. To this goal, we present three approaches that use features extracted from CXR images, either handcrafted or automatically by convolutional neuronal networks, which are then integrated with the clinical data. Exhaustive evaluation shows promising performance both in 10-fold and leave-one-centre-out cross-validation, implying that clinical data and images have the potential to provide useful information for the management of patients and hospital resources.

Published
2020

39. On the endpoint behaviour of oscillatory maximal function

Author

Borges, Tainara, Bortolotto, Cynthia, and Ramos, João P. G.

Subjects
Mathematics - Classical Analysis and ODEs
Abstract

Inspired by a question of Lie, we study boundedness in subspaces of $L^1(\mathbb{R})$ of oscillatory maximal functions. In particular, we construct functions in $L^1(\mathbb{R})$ which are never integrable under action of our class of maximal functions. On the other hand, we prove that these maximal functions map certain classes of spaces resembling Sobolev spaces into $L^1(\mathbb{R})$ continuously under mild curvature assumptions on the phase $\gamma$., Comment: 16 pages

Published
2020

40. Erratum to: Search for exclusive Higgs and Z boson decays to ϕγ and ργ with the ATLAS detector

Author

Aaboud, M., Aad, G., Abbott, B., Abdinov, O., Abeloos, B., Abidi, S. H., AbouZeid, O. S., Abraham, N. L., Abramowicz, H., Abreu, H., Abreu, R., Abulaiti, Y., Acharya, B. S., Adachi, S., Adamczyk, L., Adelman, J., Adersberger, M., Adye, T., Affolder, A. A., Afik, Y., Agatonovic-Jovin, T., Agheorghiesei, C., Aguilar-Saavedra, J. A., Ahlen, S. P., Ahmadov, F., Aielli, G., Akatsuka, S., Akerstedt, H., Åkesson, T. P. A., Akilli, E., Akimov, A. V., Alberghi, G. L., Albert, J., Albicocco, P., Alconada Verzini, M. J., Alderweireldt, S. C., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexander, G., Alexopoulos, T., Alhroob, M., Ali, B., Aliev, M., Alimonti, G., Alison, J., Alkire, S. P., Allbrooke, B. M. M., Allen, B. W., Allport, P. P., Aloisio, A., Alonso, A., Alonso, F., Alpigiani, C., Alshehri, A. A., Alstaty, M. I., Alvarez Gonzalez, B., Álvarez Piqueras, D., Alviggi, M. G., Amadio, B. T., Amaral Coutinho, Y., Amelung, C., Amidei, D., Amor Dos Santos, S. P., Amoroso, S., Amundsen, G., Anastopoulos, C., Ancu, L. S., Andari, N., Andeen, T., Anders, C. F., Anders, J. K., Anderson, K. J., Andreazza, A., Andrei, V., Angelidakis, S., Angelozzi, I., Angerami, A., Anisenkov, A. V., Anjos, N., Annovi, A., Antel, C., Antonelli, M., Antonov, A., Antrim, D. J., Anulli, F., Aoki, M., Aperio Bella, L., Arabidze, G., Arai, Y., Araque, J. P., Araujo Ferraz, V., Arce, A. T. H., Ardell, R. E., Arduh, F. A., Arguin, J-F., Argyropoulos, S., Arik, M., Armbruster, A. J., Armitage, L. J., Arnaez, O., Arnold, H., Arratia, M., Arslan, O., Artamonov, A., Artoni, G., Artz, S., Asai, S., Asbah, N., Ashkenazi, A., Asquith, L., Assamagan, K., Astalos, R., Atkinson, M., Atlay, N. B., Augsten, K., Avolio, G., Axen, B., Ayoub, M. K., Azuelos, G., Baas, A. E., Baca, M. J., Bachacou, H., Bachas, K., Backes, M., Bagnaia, P., Bahmani, M., Bahrasemani, H., Baines, J. T., Bajic, M., Baker, O. K., Bakker, P. J., Baldin, E. M., Balek, P., Balli, F., Balunas, W. K., Banas, E., Bandyopadhyay, A., Banerjee, Sw., Bannoura, A. A. E., Barak, L., Barberio, E. L., Barberis, D., Barbero, M., Barillari, T., Barisits, M.-S., Barkeloo, J. T., Barklow, T., Barlow, N., Barnes, S. L., Barnett, B. M., Barnett, R. M., Barnovska-Blenessy, Z., Baroncelli, A., Barone, G., Barr, A. J., Barranco Navarro, L., Barreiro, F., Barreiro Guimarães da Costa, J., Bartoldus, R., Barton, A. E., Bartos, P., Basalaev, A., Bassalat, A., Bates, R. L., Batista, S. J., Batley, J. R., Battaglia, M., Bauce, M., Bauer, F., Bawa, H. S., Beacham, J. B., Beattie, M. D., Beau, T., Beauchemin, P. H., Bechtle, P., Beck, H. P., Beck, H. C., Becker, K., Becker, M., Becot, C., Beddall, A. J., Beddall, A., Bednyakov, V. A., Bedognetti, M., Bee, C. P., Beermann, T. A., Begalli, M., Begel, M., Behr, J. K., Bell, A. S., Bella, G., Bellagamba, L., Bellerive, A., Bellomo, M., Belotskiy, K., Beltramello, O., Belyaev, N. L., Benary, O., Benchekroun, D., Bender, M., Benekos, N., Benhammou, Y., Benhar Noccioli, E., Benitez, J., Benjamin, D. P., Benoit, M., Bensinger, J. R., Bentvelsen, S., Beresford, L., Beretta, M., Berge, D., Bergeaas Kuutmann, E., Berger, N., Bergsten, L. J., Beringer, J., Berlendis, S., Bernard, N. R., Bernardi, G., Bernius, C., Bernlochner, F. U., Berry, T., Berta, P., Bertella, C., Bertoli, G., Bertram, I. A., Bertsche, C., Besjes, G. J., Bessidskaia Bylund, O., Bessner, M., Besson, N., Bethani, A., Bethke, S., Betti, A., Bevan, A. J., Beyer, J., Bianchi, R. M., Biebel, O., Biedermann, D., Bielski, R., Bierwagen, K., Biesuz, N. V., Biglietti, M., Billoud, T. R. V., Bilokon, H., Bindi, M., Bingul, A., Bini, C., Biondi, S., Bisanz, T., Bittrich, C., Bjergaard, D. M., Black, J. E., Black, K. M., Blair, R. E., Blazek, T., Bloch, I., Blocker, C., Blue, A., Blumenschein, U., Blunier, Dr., Bobbink, G. J., Bobrovnikov, V. S., Bocchetta, S. 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R., Straessner, A., Stramaglia, M. E., Strandberg, J., Strandberg, S., Strauss, M., Strizenec, P., Ströhmer, R., Strom, D. M., Stroynowski, R., Strubig, A., Stucci, S. A., Stugu, B., Styles, N. A., Su, D., Su, J., Suchek, S., Sugaya, Y., Suk, M., Sulin, V. V., Sultan, D. M. S., Sultansoy, S., Sumida, T., Sun, S., Sun, X., Suruliz, K., Suster, C. J. E., Sutton, M. R., Suzuki, S., Svatos, M., Swiatlowski, M., Swift, S. P., Sykora, I., Sykora, T., Ta, D., Tackmann, K., Taenzer, J., Taffard, A., Tafirout, R., Tahirovic, E., Taiblum, N., Takai, H., Takashima, R., Takasugi, E. H., Takeda, K., Takeshita, T., Takubo, Y., Talby, M., Talyshev, A. A., Tanaka, J., Tanaka, M., Tanaka, R., Tanaka, S., Tanioka, R., Tannenwald, B. B., Tapia Araya, S., Tapprogge, S., Tarem, S., Tartarelli, G. F., Tas, P., Tasevsky, M., Tashiro, T., Tassi, E., Tavares Delgado, A., Tayalati, Y., Taylor, A. C., Taylor, A. J., Taylor, G. N., Taylor, P. T. E., Taylor, W., Teixeira-Dias, P., Temple, D., Ten Kate, H., Teng, P. K., Teoh, J. J., Tepel, F., Terada, S., Terashi, K., Terron, J., Terzo, S., Testa, M., Teuscher, R. J., Thais, S. J., Theveneaux-Pelzer, T., Thiele, F., Thomas, J. P., Thomas-Wilsker, J., Thompson, P. D., Thompson, A. S., Thomsen, L. A., Thomson, E., Tian, Y., Tibbetts, M. J., Ticse Torres, R. E., Tikhomirov, V. O., Tikhonov, Yu. A., Timoshenko, S., Tipton, P., Tisserant, S., Todome, K., Todorova-Nova, S., Todt, S., Tojo, J., Tokár, S., Tokushuku, K., Tolley, E., Tomlinson, L., Tomoto, M., Tompkins, L., Toms, K., Tong, B., Tornambe, P., Torrence, E., Torres, H., Torró Pastor, E., Toth, J., Touchard, F., Tovey, D. R., Treado, C. J., Trefzger, T., Tresoldi, F., Tricoli, A., Trigger, I. M., Trincaz-Duvoid, S., Tripiana, M. F., Trischuk, W., Trocmé, B., Trofymov, A., Troncon, C., Trottier-McDonald, M., Trovatelli, M., Truong, L., Trzebinski, M., Trzupek, A., Tsang, K. W., Tseng, J. C-L., Tsiareshka, P. V., Tsirintanis, N., Tsiskaridze, S., Tsiskaridze, V., Tskhadadze, E. G., Tsukerman, I. I., Tsulaia, V., Tsuno, S., Tsybychev, D., Tu, Y., Tudorache, A., Tudorache, V., Tulbure, T. T., Tuna, A. N., Turchikhin, S., Turgeman, D., Turk Cakir, I., Turra, R., Tuts, P. M., Ucchielli, G., Ueda, I., Ughetto, M., Ukegawa, F., Unal, G., Undrus, A., Unel, G., Ungaro, F. C., Unno, Y., Uno, K., Unverdorben, C., Urban, J., Urquijo, P., Urrejola, P., Usai, G., Usui, J., Vacavant, L., Vacek, V., Vachon, B., Vadla, K. O. H., Vaidya, A., Valderanis, C., Valdes Santurio, E., Valente, M., Valentinetti, S., Valero, A., Valéry, L., Valkar, S., Vallier, A., Valls Ferrer, J. A., Van Den Wollenberg, W., van der Graaf, H., van Gemmeren, P., Van Nieuwkoop, J., van Vulpen, I., van Woerden, M. C., Vanadia, M., Vandelli, W., Vaniachine, A., Vankov, P., Vardanyan, G., Vari, R., Varnes, E. W., Varni, C., Varol, T., Varouchas, D., Vartapetian, A., Varvell, K. E., Vasquez, J. G., Vasquez, G. A., Vazeille, F., Vazquez Furelos, D., Vazquez Schroeder, T., Veatch, J., Veeraraghavan, V., Veloce, L. M., Veloso, F., Veneziano, S., Ventura, A., Venturi, M., Venturi, N., Venturini, A., Vercesi, V., Verducci, M., Verkerke, W., Vermeulen, A. T., Vermeulen, J. C., Vetterli, M. C., Viaux Maira, N., Viazlo, O., Vichou, I., Vickey, T., Vickey Boeriu, O. E., Viehhauser, G. H. A., Viel, S., Vigani, L., Villa, M., Villaplana Perez, M., Vilucchi, E., Vincter, M. G., Vinogradov, V. B., Vishwakarma, A., Vittori, C., Vivarelli, I., Vlachos, S., Vogel, M., Vokac, P., Volpi, G., von der Schmitt, H., von Toerne, E., Vorobel, V., Vorobev, K., Vos, M., Voss, R., Vossebeld, J. H., Vranjes, N., Vranjes Milosavljevic, M., Vrba, V., Vreeswijk, M., Vuillermet, R., Vukotic, I., Wagner, P., Wagner, W., Wagner-Kuhr, J., Wahlberg, H., Wahrmund, S., Wakamiya, K., Walder, J., Walker, R., Walkowiak, W., Wallangen, V., Wang, C., Wang, C., Wang, F., Wang, H., Wang, H., Wang, J., Wang, J., Wang, Q., Wang, R.-J., Wang, R., Wang, S. M., Wang, T., Wang, W., Wang, W., Wang, Z., Wanotayaroj, C., Warburton, A., Ward, C. P., Wardrope, D. R., Washbrook, A., Watkins, P. M., Watson, A. T., Watson, M. F., Watts, G., Watts, S., Waugh, B. M., Webb, A. F., Webb, S., Weber, M. S., Weber, S. M., Weber, S. W., Weber, S. A., Webster, J. S., Weidberg, A. R., Weinert, B., Weingarten, J., Weirich, M., Weiser, C., Weits, H., Wells, P. S., Wenaus, T., Wengler, T., Wenig, S., Wermes, N., Werner, M. D., Werner, P., Wessels, M., Weston, T. D., Whalen, K., Whallon, N. L., Wharton, A. M., White, A. S., White, A., White, M. J., White, R., Whiteson, D., Whitmore, B. W., Wickens, F. J., Wiedenmann, W., Wielers, M., Wiglesworth, C., Wiik-Fuchs, L. A. M., Wildauer, A., Wilk, F., Wilkens, H. G., Williams, H. H., Williams, S., Willis, C., Willocq, S., Wilson, J. A., Wingerter-Seez, I., Winkels, E., Winklmeier, F., Winston, O. J., Winter, B. T., Wittgen, M., Wobisch, M., Wolf, A., Wolf, T. M. H., Wolff, R., Wolter, M. W., Wolters, H., Wong, V. W. S., Woods, N. L., Worm, S. D., Wosiek, B. K., Wotschack, J., Wozniak, K. W., Wu, M., Wu, S. L., Wu, X., Wu, Y., Wyatt, T. R., Wynne, B. M., Xella, S., Xi, Z., Xia, L., Xu, D., Xu, L., Xu, T., Xu, W., Yabsley, B., Yacoob, S., Yamaguchi, D., Yamaguchi, Y., Yamamoto, A., Yamamoto, S., Yamanaka, T., Yamane, F., Yamatani, M., Yamazaki, T., Yamazaki, Y., Yan, Z., Yang, H., Yang, H., Yang, Y., Yang, Z., Yao, W-M., Yap, Y. C., Yasu, Y., Yatsenko, E., Yau Wong, K. H., Ye, J., Ye, S., Yeletskikh, I., Yigitbasi, E., Yildirim, E., Yorita, K., Yoshihara, K., Young, C., Young, C. J. S., Yu, J., Yu, J., Yuen, S. P. Y., Yusuff, I., Zabinski, B., Zacharis, G., Zaidan, R., Zaitsev, A. M., Zakharchuk, N., Zalieckas, J., Zaman, A., Zambito, S., Zanzi, D., Zeitnitz, C., Zemaityte, G., Zemla, A., Zeng, J. C., Zeng, Q., Zenin, O., Ženiš, T., Zerwas, D., Zhang, D., Zhang, D., Zhang, F., Zhang, G., Zhang, H., Zhang, J., Zhang, L., Zhang, L., Zhang, M., Zhang, P., Zhang, R., Zhang, R., Zhang, X., Zhang, Y., Zhang, Z., Zhao, X., Zhao, Y., Zhao, Z., Zhemchugov, A., Zhou, B., Zhou, C., Zhou, L., Zhou, M., Zhou, M., Zhou, N., Zhou, Y., Zhu, C. G., Zhu, H., Zhu, J., Zhu, Y., Zhuang, X., Zhukov, K., Zibell, A., Zieminska, D., Zimine, N. I., Zimmermann, C., Zimmermann, S., Zinonos, Z., Zinser, M., Ziolkowski, M., Živković, L., Zobernig, G., Zoccoli, A., Zou, R., zur Nedden, M., and Zwalinski, L.

Published
2023
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41. A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia

Author

Scapicchio, Camilla, Chincarini, Andrea, Ballante, Elena, Berta, Luca, Bicci, Eleonora, Bortolotto, Chandra, Brero, Francesca, Cabini, Raffaella Fiamma, Cristofalo, Giuseppe, Fanni, Salvatore Claudio, Fantacci, Maria Evelina, Figini, Silvia, Galia, Massimo, Gemma, Pietro, Grassedonio, Emanuele, Lascialfari, Alessandro, Lenardi, Cristina, Lionetti, Alice, Lizzi, Francesca, Marrale, Maurizio, Midiri, Massimo, Nardi, Cosimo, Oliva, Piernicola, Perillo, Noemi, Postuma, Ian, Preda, Lorenzo, Rastrelli, Vieri, Rizzetto, Francesco, Spina, Nicola, Talamonti, Cinzia, Torresin, Alberto, Vanzulli, Angelo, Volpi, Federica, Neri, Emanuele, and Retico, Alessandra

Published
2023
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42. A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia

Author

Camilla Scapicchio, Andrea Chincarini, Elena Ballante, Luca Berta, Eleonora Bicci, Chandra Bortolotto, Francesca Brero, Raffaella Fiamma Cabini, Giuseppe Cristofalo, Salvatore Claudio Fanni, Maria Evelina Fantacci, Silvia Figini, Massimo Galia, Pietro Gemma, Emanuele Grassedonio, Alessandro Lascialfari, Cristina Lenardi, Alice Lionetti, Francesca Lizzi, Maurizio Marrale, Massimo Midiri, Cosimo Nardi, Piernicola Oliva, Noemi Perillo, Ian Postuma, Lorenzo Preda, Vieri Rastrelli, Francesco Rizzetto, Nicola Spina, Cinzia Talamonti, Alberto Torresin, Angelo Vanzulli, Federica Volpi, Emanuele Neri, and Alessandra Retico

Subjects
COVID-19, Deep Learning, Lung, Software validation, Tomography (x-ray computed), Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Background The role of computed tomography (CT) in the diagnosis and characterization of coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We evaluated the performance of a software for quantitative analysis of chest CT, the LungQuant system, by comparing its results with independent visual evaluations by a group of 14 clinical experts. The aim of this work is to evaluate the ability of the automated tool to extract quantitative information from lung CT, relevant for the design of a diagnosis support model. Methods LungQuant segments both the lungs and lesions associated with COVID-19 pneumonia (ground-glass opacities and consolidations) and computes derived quantities corresponding to qualitative characteristics used to clinically assess COVID-19 lesions. The comparison was carried out on 120 publicly available CT scans of patients affected by COVID-19 pneumonia. Scans were scored for four qualitative metrics: percentage of lung involvement, type of lesion, and two disease distribution scores. We evaluated the agreement between the LungQuant output and the visual assessments through receiver operating characteristics area under the curve (AUC) analysis and by fitting a nonlinear regression model. Results Despite the rather large heterogeneity in the qualitative labels assigned by the clinical experts for each metric, we found good agreement on the metrics compared to the LungQuant output. The AUC values obtained for the four qualitative metrics were 0.98, 0.85, 0.90, and 0.81. Conclusions Visual clinical evaluation could be complemented and supported by computer-aided quantification, whose values match the average evaluation of several independent clinical experts. Key points We conducted a multicenter evaluation of the deep learning-based LungQuant automated software. We translated qualitative assessments into quantifiable metrics to characterize coronavirus disease 2019 (COVID-19) pneumonia lesions. Comparing the software output to the clinical evaluations, results were satisfactory despite heterogeneity of the clinical evaluations. An automatic quantification tool may contribute to improve the clinical workflow of COVID-19 pneumonia.

Published
2023
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45. Structured reporting of computed tomography in the polytrauma patient assessment: a Delphi consensus proposal

Author

Granata, Vincenza, Fusco, Roberta, Cozzi, Diletta, Danti, Ginevra, Faggioni, Lorenzo, Buccicardi, Duccio, Prost, Roberto, Ferrari, Riccardo, Trinci, Margherita, Galluzzo, Michele, Iacobellis, Francesca, Scaglione, Mariano, Tonerini, Michele, Coppola, Francesca, Bortolotto, Chandra, Caruso, Damiano, Ciaghi, Eleonora, Gabelloni, Michela, Rengo, Marco, Giacobbe, Giuliana, Grassi, Francesca, Romano, Luigia, Pinto, Antonio, Caranci, Ferdinando, Bertelli, Elena, D’Andrea, Paolo, Neri, Emanuele, Giovagnoni, Andrea, Grassi, Roberto, and Miele, Vittorio

Published
2023
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46. Learning Maori in the Workplace: Non-Maori Learners' Assessment of the Value of Te Reo

Author

Berardi-Wiltshire, Arianna and Bortolotto, María Celina

Abstract

In New Zealand, te reo Maori (or just te reo) is currently being learned as a second language by record numbers of non-Maori, many of whom are increasingly able to access it through language courses offered by their employing organisations. Considering recent research and policy advocating the value of te reo for all New Zealanders, workplace courses of the language represent important new spaces for the development of normalising discourses and initiatives. Drawing on a small-scale qualitative study, we examine how the value of te reo is understood by adult non-Maori staff who choose to learn it at a New Zealand university. We find that the learners assess te reo according to categories of value that exist in close relation to one another as part of personal systems of value, within which organisational discourses about te reo are integrated. The language is perceived as valuable not only in instrumental terms for the participants' professional life, but as a meaningful symbol of national identity, of exemplary citizenship, and of their responsibility toward creating a more harmonious society. Overall, the study provides preliminary evidence of the potential contribution of workplace courses of te reo for its wider normalisation across New Zealand.

Published
2022
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47. Effects of Hyperbaric Oxygen Therapy on Hemogram, Serum Biochemistry and Coagulation Parameters of Dogs Undergoing Elective Laparoscopic-Assisted Ovariohysterectomy

Author

Bernardo Nascimento Antunes, Pâmela Caye, Otávio Henrique de Melo Schiefler, Jenifer Jung, João Segura Engelsdorff, Vitória Pina Tostes, Emanuelle Bortolotto Degregori, Rainer da Silva Reinstein, Cinthia Melazzo De Andrade, and Maurício Veloso Brun

Subjects
canine, hemostasis, monoplace hyperbaric chamber, oxygen therapy, Veterinary medicine, SF600-1100, Zoology, QL1-991
Abstract

Background: This study explored the effects of hyperbaric oxygen therapy (HBOT) on hemogram, serum biochemistry and hemostatic variables in female dogs undergoing laparoscopic-assisted ovariohysterectomy (OVH). Materials: Thirty adult, mixed-breed, healthy female dogs were randomly divided into the following three groups: HBOT + SURG (exposed to two absolute atmospheres (ATAs) for 45 min followed by laparoscopic-assisted OVH), HBOT (exposed to two ATAs for 45 min) and SURG (laparoscopic-assisted OVH). Blood samples were collected at T0 (at the admission), at T1, 24 h after T0 (immediately after HBOT in the HBOT + SURG and HBOT groups, and immediately before anesthetic premedication in the SURG group), and at T2, 48 h after T0 (24 h after HBOT and anesthetic premedication). Methods: Assessments included erythrogram, leukogram, thrombogram, renal and hepatic serum biochemistry, prothrombin time (PT), activated partial thromboplastin time (APTT), buccal mucosal bleeding time (BMBT) and bloodstain area (BA) on hygroscopic paper collected at the BMBT. Results: Both the HBOT + SURG and SURG groups presented neutrophilia (p ≤ 0.0039) at T2 and an increase of ALP at T2 (p ≤ 0.0493), the SURG group presented an increase in leukocyte count at T2 (p = 0.0238) and the HBOT + SURG group presented a reduction in lymphocyte count at T2 (p = 0.0115). In the HBOT + SURG group, there was a reduction in PT and APTT in relation to the baseline value (p ≤ 0.0412). Conclusions: A session of HBOT at two ATAs for 45 min did not cause changes in the BMBT or BA in healthy female dogs. Some blood parameters investigated (neutrophil and lymphocyte count, ALP, PT and APTT) were affected by the use of HBOT.

Published
2024
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48. Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic

Author

Giovanna Nicora, Michele Catalano, Chandra Bortolotto, Marina Francesca Achilli, Gaia Messana, Antonio Lo Tito, Alessio Consonni, Sara Cutti, Federico Comotto, Giulia Maria Stella, Angelo Corsico, Stefano Perlini, Riccardo Bellazzi, Raffaele Bruno, and Lorenzo Preda

Subjects
artificial intelligence, explainability, machine learning, Random Forest, Bayesian Networks, COVID-19, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Abstract

Artificial Intelligence (AI) and Machine Learning (ML) approaches that could learn from large data sources have been identified as useful tools to support clinicians in their decisional process; AI and ML implementations have had a rapid acceleration during the recent COVID-19 pandemic. However, many ML classifiers are “black box” to the final user, since their underlying reasoning process is often obscure. Additionally, the performance of such models suffers from poor generalization ability in the presence of dataset shifts. Here, we present a comparison between an explainable-by-design (“white box”) model (Bayesian Network (BN)) versus a black box model (Random Forest), both studied with the aim of supporting clinicians of Policlinico San Matteo University Hospital in Pavia (Italy) during the triage of COVID-19 patients. Our aim is to evaluate whether the BN predictive performances are comparable with those of a widely used but less explainable ML model such as Random Forest and to test the generalization ability of the ML models across different waves of the pandemic.

Published
2024
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49. Colonization by Extended-Spectrum β-Lactamase-Producing Enterobacterales and Bacteremia in Hematopoietic Stem Cell Transplant Recipients

Author

Luiza Arcas Gonçalves, Beatriz Barbosa Anjos, Bruno Melo Tavares, Ana Paula Marchi, Marina Farrel Côrtes, Hermes Ryoiti Higashino, Bruna del Guerra de Carvalho Moraes, José Victor Bortolotto Bampi, Liliane Dantas Pinheiro, Fernanda de Souza Spadao, Vanderson Rocha, Thais Guimarães, and Silvia Figueiredo Costa

Subjects
hematopoietic stem cell transplant, colonization, bloodstream infection, extended-spectrum β-lactamase-producing Enterobacterales, Therapeutics. Pharmacology, RM1-950
Abstract

Background: Assessing the risk of multidrug-resistant colonization and infections is pivotal for optimizing empirical therapy in hematopoietic stem cell transplants (HSCTs). Limited data exist on extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) colonization in this population. This study aimed to assess whether ESBL-E colonization constitutes a risk factor for ESBL-E bloodstream infection (BSI) and to evaluate ESBL-E colonization in HSCT recipients. Methods: A retrospective analysis of ESBL-E colonization and BSI in HSCT patients was conducted from August 2019 to June 2022. Weekly swabs were collected and cultured on chromogenic selective media, with PCR identifying the β-lactamase genes. Pulsed-field gel electrophoresis (PFGE) and whole-genome sequencing (WGS) assessed the colonizing strains’ similarities. Results: Of 222 evaluated HSCT patients, 59.45% were colonized by ESBL-E, with 48.4% at admission. The predominant β-lactamase genes were blaTEM (52%) and blaSHV (20%). PFGE analysis did not reveal predominant clusters in 26 E. coli and 15 K. pneumoniae strains. WGS identified ST16 and ST11 as the predominant sequence types among K. pneumoniae. Thirty-three patients developed thirty-five Enterobacterales-BSIs, with nine being third-generation cephalosporin-resistant. No association was found between ESBL-E colonization and ESBL-BSI (p = 0.087). Conclusions: Although the patients presented a high colonization rate of ESBL-E upon admission, no association between colonization and infection were found. Thus, it seems that ESBL screening is not a useful strategy to assess risk factors and guide therapy for ESBL-BSI in HSCT-patients.

Published
2024
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50. Prevalence of and Factors Associated With High Blood Pressure at 15 Years of Age: A Birth Cohort Study

Author

Andrea Mabilde Petracco, Rita Mattiello, Caroline Cardozo Bortolotto, Rodrigo Wiltgen Ferreira, Alicia Matijasevich, Fernando Celso Lopes Fernandes de Barros, Frederico Orlando Friedrich, Luciana Tovo‐Rodrigues, Aluísio Jardim Dornellas de Barros, and Iná S. Santos

Subjects
adolescent, blood pressure, cohort, high blood pressure, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background Arterial hypertension is the greatest cause of morbidity and mortality worldwide. Our aim was to investigate the prevalence of and factors associated with high blood pressure (HBP) among adolescents. Methods and Results The Pelotas 2004 Birth Cohort included 4231 newborns from hospital births in Pelotas, Brazil. A digital automatic OMRON sphygmomanometer (model HEM 742) was used to measure blood pressure on 3 occasions (at 6, 11, and 15 years of age). Those with blood pressure ≥95th percentile for age, height, and sex on each of the 3 occasions were considered as presenting HBP. Independent variables included family (income and history of arterial hypertension), maternal (schooling, age, pregestational body mass index, and smoking during pregnancy), and adolescent characteristics at birth (sex, skin color, gestational age, intrauterine growth, and systolic and diastolic genetic factors), and at 15 years (sleep, physical activity, sodium intake, screen time, work, body mass index, fat mass index, fat‐free mass index, growth pattern, and puberty status). The prevalence of HBP (95% CI) was calculated. Crude and adjusted odds ratios (ORs) stratified by sex were obtained by logistic regression. A total of 1417 adolescents with complete information on blood pressure on the 3 occasions were analyzed. The prevalence of HBP was 3.2% (95% CI, 1.9%–4.5%) in female adolescents and 4.3% (95% CI, 2.8%–5.8%) in male adolescents. Female adolescents with a family history of arterial hypertension had a 3 times higher chance of HBP than their counterparts (OR, 3.1 [95% CI, 1.26–7.54]). In male adolescents, excessive maternal pregestational weight was associated with a 2.3‐fold increase in the chance of HBP. In both sexes, excessive adolescent weight was associated with HBP (ORs, 3.5 and 5.0, for female and male adolescents, respectively). A higher fat mass index and fat‐free mass index in female (ORs, 1.4 and 1.2, respectively) and male adolescents (ORs, 2.5 and 3.0, respectively) increased the chance of HBP. Among male adolescents, the chance of HBP was higher among those with rapid weight gain between 48 months and 6 years and between 6 and 11 years and rapid height gain between 6 and 11 years. Conclusions Higher fat mass in both sexes and rapid weight gain in male adolescents are risk factors for HBP in adolescents aged 15 years, potentially amenable to prevention.

Published
2023
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