Search

Your search keyword '"Cardoso, Pedro"' showing total 200 results
Start Over Author "Cardoso, Pedro" Publication Year Range This year
200 results on '"Cardoso, Pedro"'

1. Linear and Nonlinear Fractional PDEs from interacting particle systems

Author

Cardoso, Pedro and Gonçalves, Patrícia

Subjects
Mathematics - Probability, Mathematics - Analysis of PDEs
Abstract

In these notes, we describe the strategy for the derivation of the hydrodynamic limit for a family of long range interacting particle systems of exclusion type with symmetric rates. For $m \in \mathbb{N}:=\{1, 2, \ldots\}$ fixed, the hydrodynamic equation is $\partial_t \rho(t,u)= [-(-\Delta)^{\gamma /2} \rho^m](t,u) $. For $m=1$, this {is} the fractional equation, which is linear. On the other hand, for $m \geq 2$, this is the fractional porous medium equation (which is nonlinear), obtained by choosing a rate which depends on the number of particles next to the initial and final position of a jump., Comment: 27 pages, 1 figure

Published
2024

2. Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models

Author

Vaz, Pedro J., Schütz, Gabriela, Guerrero, Carlos, and Cardoso, Pedro J. S.

Subjects
Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Reference Evapotranspiration (ET0) is a key parameter for designing smart irrigation scheduling, since it is related by a coefficient to the water needs of a crop. The United Nations Food and Agriculture Organization, proposed a standard method for ET0 computation (FAO56PM), based on the parameterization of the Penman-Monteith equation, that is widely adopted in the literature. To compute ET0 using the FAO56-PM method, four main weather parameters are needed: temperature, humidity, wind, and solar radiation (SR). One way to make daily ET0 estimations for future days is to use freely available weather forecast services (WFSs), where many meteorological parameters are estimated up to the next 15 days. A problem with this method is that currently, SR is not provided as a free forecast parameter on most of those online services or, normally, such forecasts present a financial cost penalty. For this reason, several ET0 estimation models using machine and deep learning were developed and presented in the literature, that use as input features a reduced set of carefully selected weather parameters, that are compatible with common freely available WFSs. However, most studies on this topic have only evaluated model performance using data from weather stations (WSs), without considering the effect of using weather forecast data. In this study, the performance of authors' previous models is evaluated when using weather forecast data from two online WFSs, in the following scenarios: (i) direct ET0 estimation by an ANN model, and (ii) estimate SR by ANN model, and then use that estimation for ET0 computation, using the FAO56-PM method. Employing data collected from two WFSs and a WS located in Vale do Lobo, Portugal, the latter approach achieved the best result, with a coefficient of determination (R2) ranging between 0.893 and 0.667, when considering forecasts up to 15 days., Comment: A partial version of the work submitted to ESRE/INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCES AND RENEWABLE ENERGY

Published
2024

5. Towards Inclusion in Higher Education: The Case of the Skills for a Next Generation Project

Author

Giesteira, Bruno, Peçaibes, Viviane, Cardoso, Pedro, Vila-Maior, Guilherme, Quaresma, Isabel, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Antona, Margherita, editor, and Stephanidis, Constantine, editor

Published
2024
Full Text
View/download PDF

7. Peer-Produced Archives, Peer-Designed Solutions

Author

Sá Couto, Pedro, Carvalhais, Miguel, Cardoso, Pedro, Tosi, Francesca, Editor-in-Chief, Germak, Claudio, Series Editor, Zurlo, Francesco, Series Editor, Jinyi, Zhi, Series Editor, Pozzatti Amadori, Marilaine, Series Editor, Caon, Maurizio, Series Editor, Martins, Nuno, editor, and Brandão, Daniel, editor

Published
2024
Full Text
View/download PDF

8. Gaps, Goals, and Actions for the Development of the AfterLab: A Laboratory for Design Applied to the Dance Floor Experience

Author

Lugo-Elías, César, Cardoso, Pedro, Tosi, Francesca, Editor-in-Chief, Germak, Claudio, Series Editor, Zurlo, Francesco, Series Editor, Jinyi, Zhi, Series Editor, Pozzatti Amadori, Marilaine, Series Editor, Caon, Maurizio, Series Editor, Martins, Nuno, editor, Brandão, Daniel, editor, and Fernandes-Marcos, Adérito, editor

Published
2024
Full Text
View/download PDF

9. Endogenous Asymmetry in Games: Expanding the Typology

Author

Neto, Abel, Cardoso, Pedro, Carvalhais, Miguel, Tosi, Francesca, Editor-in-Chief, Germak, Claudio, Series Editor, Zurlo, Francesco, Series Editor, Jinyi, Zhi, Series Editor, Pozzatti Amadori, Marilaine, Series Editor, Caon, Maurizio, Series Editor, Martins, Nuno, editor, Brandão, Daniel, editor, and Fernandes-Marcos, Adérito, editor

Published
2024
Full Text
View/download PDF

13. Accelerating and standardising IUCN Red List assessments with sRedList

Author

Cazalis, Victor, Di Marco, Moreno, Zizka, Alexander, Butchart, Stuart H.M., González-Suárez, Manuela, Böhm, Monika, Bachman, Steven P., Hoffmann, Michael, Rosati, Ilaria, De Leo, Francesco, Jung, Martin, Benítez-López, Ana, Clausnitzer, Viola, Cardoso, Pedro, Brooks, Thomas M., Mancini, Giordano, Lucas, Pablo M., Young, Bruce E., Akçakaya, H. Reşit, Schipper, Aafke M., Hilton-Taylor, Craig, Pacifici, Michela, Meyer, Carsten, and Santini, Luca

Published
2024
Full Text
View/download PDF

15. Global Consensus Recommendations on Improving the Safety of Chronic Total Occlusion Interventions

Author

Rafeh, Nidal Abi, Agostoni, Pierfrancesco, Alaswad, Khaldoon, Araya, Mario, Avran, Alexandre, Ayoub, Mohamed, Azzalini, Lorenzo, Babunashvili, Avtandil M., Bayani, Baktash, Behnes, Michael, Bhindi, Ravinay, Boudou, Nicolas, Boukhris, Marouane, Bozinovic, Nenad Z., Bryniarski, Leszek, Bufe, Alexander, Buller, Christopher E., Burke, M. Nicholas, Buettner, Heinz Joachim, Cardoso, Pedro, Carlino, Mauro, Chan, Chi-Kin, Chen, Jiyan, Christiansen, Evald Hoej, Colombo, Antonio, Croce, Kevin, Damas de los Santos, Felix, de Martini, Tony, Dens, Joseph, di Mario, Carlo, Doshi, Darshan, Dou, Kefei, Egred, Mohaned, Elbarouni, Basem, ElGuindy, Ahmed M., Escaned, Javier, Furkalo, Sergey, Gagnor, Andrea, Galassi, Alfredo R., Garbo, Roberto, L.Gasparini, Gabriele, Ge, Junbo, Ge, Lei, Goel, Pravin Kumar, Goktekin, Omer, Gonzalo, Nieves, Gorgulu, Sevket, Grancini, Luca, Hall, Allison B., Hanratty, Colm, Harb, Stefan, Harding, Scott A., Hatem, Raja, Hellig, Farrel, Henriques, Jose P.S., Hildick-Smith, David, Hill, Jonathan M., Hoye, Angela, Jaber, Wissam, Jaffer, Farouc A., Jang, Yangsoo, Jussila, Risto, Kalnins, Artis, Kalra, Sanjog, Kandzari, David E., Kao, Hsien-Li, Karmpaliotis, Dimitri, Kassem, Hussien Heshmat, Kearney, Kathleen E., Kerrigan, Jimmy, Khatri, Jaikirshan, Khelimskii, Dmitri, Kirtane, Ajay J., Knaapen, Paul, Kornowski, Ran, Krestyaninov, Oleg, Kumar, V. Ganesh, Kumar, Prathap, Lamelas, Pablo Manuel, Lee, Seung-Whan, Lefevre, Thierry, Leibundgut, Gregor, Leung, Raymond, Leung, Sum-Kin, Li, Yu, Li, Yue, Lim, Soo-Teik, Lo, Sidney, Lombardi, William, Maran, Anbukarasi, McEntegart, Margaret, Moses, Jeffrey, Munawar, Muhammad, Nagamatsu, Wataru, Navarro, Andres, Ngo, Hung M., Nicholson, William, Oksnes, Anja, Olivecrona, Goran K., Padilla, Lucio, Patel, Mitul, Pershad, Ashish, Postu, Marin, Pyxaras, Stylianos, Qian, Jie, Quadros, Alexandre, Hanna Quesada, Franklin Leonardo, Råmunddal, Truls, Rao, Vithala Suryaprakasa, Rathore, Sudhir, Reifart, Nicolaus, Riley, Robert F., Rinfret, Stephane, Saghatelyan, Meruzhan, Santiago, Ricardo, Seth, Ashok, Sianos, Georgios, Smith, Elliot, Spaedy, Anthony, Spratt, James, Stone, Gregg W., Strange, Julian W., Tammam, Khalid O., Thompson, Craig A., Toma, Aurel, Tremmel, Jennifer A., Ungi, Imre, Vadalà, Giuseppe, Vo, Minh, Vu, Vu Hoang, Walsh, Simon, Weilenmann, Daniel, Werner, Gerald S., Wojcik, Jaroslaw, Wollmuth, Jason, Wu, Chiung-Jen, Xu, Bo, Yamane, Masahisa, Ybarra, Luiz F., Yeh, Robert W., Zambakides, Chris, Zhang, Qi, Wu, Eugene B., Kalyanasundaram, Arun, Brilakis, Emmanouil S., Mashayekhi, Kambis, and Tsuchikane, Etsuo

Published
2024
Full Text
View/download PDF

22. Global Consensus Recommendations on Improving the Safety of Chronic Total Occlusion Interventions

Author

Wu, Eugene B., primary, Kalyanasundaram, Arun, additional, Brilakis, Emmanouil S., additional, Mashayekhi, Kambis, additional, Tsuchikane, Etsuo, additional, Rafeh, Nidal Abi, additional, Agostoni, Pierfrancesco, additional, Alaswad, Khaldoon, additional, Araya, Mario, additional, Avran, Alexandre, additional, Ayoub, Mohamed, additional, Azzalini, Lorenzo, additional, Babunashvili, Avtandil M., additional, Bayani, Baktash, additional, Behnes, Michael, additional, Bhindi, Ravinay, additional, Boudou, Nicolas, additional, Boukhris, Marouane, additional, Bozinovic, Nenad Z., additional, Bryniarski, Leszek, additional, Bufe, Alexander, additional, Buller, Christopher E., additional, Burke, M. Nicholas, additional, Buettner, Heinz Joachim, additional, Cardoso, Pedro, additional, Carlino, Mauro, additional, Chan, Chi-Kin, additional, Chen, Jiyan, additional, Christiansen, Evald Hoej, additional, Colombo, Antonio, additional, Croce, Kevin, additional, Damas de los Santos, Felix, additional, de Martini, Tony, additional, Dens, Joseph, additional, di Mario, Carlo, additional, Doshi, Darshan, additional, Dou, Kefei, additional, Egred, Mohaned, additional, Elbarouni, Basem, additional, ElGuindy, Ahmed M., additional, Escaned, Javier, additional, Furkalo, Sergey, additional, Gagnor, Andrea, additional, Galassi, Alfredo R., additional, Garbo, Roberto, additional, L.Gasparini, Gabriele, additional, Ge, Junbo, additional, Ge, Lei, additional, Goel, Pravin Kumar, additional, Goktekin, Omer, additional, Gonzalo, Nieves, additional, Gorgulu, Sevket, additional, Grancini, Luca, additional, Hall, Allison B., additional, Hanratty, Colm, additional, Harb, Stefan, additional, Harding, Scott A., additional, Hatem, Raja, additional, Hellig, Farrel, additional, Henriques, Jose P.S., additional, Hildick-Smith, David, additional, Hill, Jonathan M., additional, Hoye, Angela, additional, Jaber, Wissam, additional, Jaffer, Farouc A., additional, Jang, Yangsoo, additional, Jussila, Risto, additional, Kalnins, Artis, additional, Kalra, Sanjog, additional, Kandzari, David E., additional, Kao, Hsien-Li, additional, Karmpaliotis, Dimitri, additional, Kassem, Hussien Heshmat, additional, Kearney, Kathleen E., additional, Kerrigan, Jimmy, additional, Khatri, Jaikirshan, additional, Khelimskii, Dmitri, additional, Kirtane, Ajay J., additional, Knaapen, Paul, additional, Kornowski, Ran, additional, Krestyaninov, Oleg, additional, Kumar, V. Ganesh, additional, Kumar, Prathap, additional, Lamelas, Pablo Manuel, additional, Lee, Seung-Whan, additional, Lefevre, Thierry, additional, Leibundgut, Gregor, additional, Leung, Raymond, additional, Leung, Sum-Kin, additional, Li, Yu, additional, Li, Yue, additional, Lim, Soo-Teik, additional, Lo, Sidney, additional, Lombardi, William, additional, Maran, Anbukarasi, additional, McEntegart, Margaret, additional, Moses, Jeffrey, additional, Munawar, Muhammad, additional, Nagamatsu, Wataru, additional, Navarro, Andres, additional, Ngo, Hung M., additional, Nicholson, William, additional, Oksnes, Anja, additional, Olivecrona, Goran K., additional, Padilla, Lucio, additional, Patel, Mitul, additional, Pershad, Ashish, additional, Postu, Marin, additional, Pyxaras, Stylianos, additional, Qian, Jie, additional, Quadros, Alexandre, additional, Hanna Quesada, Franklin Leonardo, additional, Råmunddal, Truls, additional, Rao, Vithala Suryaprakasa, additional, Rathore, Sudhir, additional, Reifart, Nicolaus, additional, Riley, Robert F., additional, Rinfret, Stephane, additional, Saghatelyan, Meruzhan, additional, Santiago, Ricardo, additional, Seth, Ashok, additional, Sianos, Georgios, additional, Smith, Elliot, additional, Spaedy, Anthony, additional, Spratt, James, additional, Stone, Gregg W., additional, Strange, Julian W., additional, Tammam, Khalid O., additional, Thompson, Craig A., additional, Toma, Aurel, additional, Tremmel, Jennifer A., additional, Ungi, Imre, additional, Vadalà, Giuseppe, additional, Vo, Minh, additional, Vu, Vu Hoang, additional, Walsh, Simon, additional, Weilenmann, Daniel, additional, Werner, Gerald S., additional, Wojcik, Jaroslaw, additional, Wollmuth, Jason, additional, Wu, Chiung-Jen, additional, Xu, Bo, additional, Yamane, Masahisa, additional, Ybarra, Luiz F., additional, Yeh, Robert W., additional, Zambakides, Chris, additional, and Zhang, Qi, additional

Published
2024
Full Text
View/download PDF

23. Multi-drug algorithm to accurately predict best first-line treatments in newly-diagnosed acute myeloid leukemia (AML).

Author

Rodriguez Cutillas, Pedro, primary, Borek, Weronika E., additional, Christopher, Josie A., additional, Nobre, Luis Veiga, additional, Campbell, Amy, additional, Kelsall, Janet, additional, Pedicona, Federico, additional, Nawaz, Nazrath, additional, Perkins, David N., additional, Cardoso, Pedro Moreno, additional, Arruda, Andrea, additional, Ambinder, Alexander Joseph, additional, Dutta, Sayantanee, additional, Gallipoli, Paolo, additional, Sill, Heinz, additional, Ghiaur, Gabriel, additional, Minden, Mark D., additional, Williamson, Andrew, additional, Gribben, John G., additional, and Dokal, Arran David, additional

Published
2024
Full Text
View/download PDF

27. Arthropod traits as proxies for abundance trends in the Azorean Islands.

Author

Oyarzabal, Guilherme, Cardoso, Pedro, Rigal, François, Boieiro, Mário, Santos, Ana M. C., Amorim, Isabel R., Malumbres‐Olarte, Jagoba, Costa, Ricardo, Lhoumeau, Sébastien, Pozsgai, Gábor, Gabriel, Rosalina, and Borges, Paulo A. V.

Subjects
*ENDANGERED species, *ENVIRONMENTAL degradation, *BODY size, *SPECIES diversity, *INTRODUCED species
Abstract

Human activities drive ecological transformation, impacting island ecosystems from species diversity to ecological traits, mainly through habitat degradation and invasive species. Using two unique long‐term datasets we aim to evaluate whether species traits (body size, trophic level, dispersal capacity and habitat occupancy) can predict temporal variations in the abundance of endemic, indigenous (endemic and native non‐endemic) and exotic arthropods in the Azores Islands. We found that body size is crucial to predict arthropod abundance trends. Small‐bodied herbivorous arthropods showed a decrease in abundance, while large‐bodied indigenous arthropods increased in abundance, mainly in well‐preserved areas. Also, large‐bodied exotic arthropods increased in abundance across the entire archipelago. Moreover, endemic canopy dwellers increased in abundance, while endemic ground‐dwellers decreased in abundance. Simultaneously, exotic arthropods showed the opposite result, increasing in abundance in the ground while decreasing in abundance in the canopy. Finally, habitat influenced both endemic and exotic spider abundance trends. Endemic spiders that occupy solely natural habitats experienced a decline in abundance, while exotic spiders in the same habitats increased in abundance. Our study underscores the significance of arthropod species traits in predicting abundance changes in island ecosystems over time, as well as the importance of monitoring species communities. Conservation efforts must extend beyond endangered species to protect non‐threatened ones, given the increased extinction risk faced by even common species on islands. Monitoring and restoration programs are essential for preserving island ecosystems and safeguarding endemic arthropod populations. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

28. Multimodal Sentiment Classifier Framework for Different Scene Contexts.

Author

Silva, Nelson, Cardoso, Pedro J. S., and Rodrigues, João M. F.

Subjects
MACHINE learning, IMAGE recognition (Computer vision), AFFECTIVE computing, SENTIMENT analysis, PUBLIC opinion
Abstract

Sentiment analysis (SA) is an effective method for determining public opinion. Social media posts have been the subject of much research, due to the platforms' enormous and diversified user bases that regularly share thoughts on nearly any subject. However, on posts composed by a text–image pair, the written description may or may not convey the same sentiment as the image. The present study uses machine learning models for the automatic sentiment evaluation of pairs of text and image(s). The sentiments derived from the image and text are evaluated independently and merged (or not) to form the overall sentiment, returning the sentiment of the post and the discrepancy between the sentiments represented by the text–image pair. The image sentiment classification is divided into four categories—"indoor" (IND), "man-made outdoors" (OMM), "non-man-made outdoors" (ONMM), and "indoor/outdoor with persons in the background" (IOwPB)—and then ensembled into an image sentiment classification model (ISC), that can be compared with a holistic image sentiment classifier (HISC), showing that the ISC achieves better results than the HISC. For the Flickr sub-data set, the sentiment classification of images achieved an accuracy of 68.50% for IND, 83.20% for OMM, 84.50% for ONMM, 84.80% for IOwPB, and 76.45% for ISC, compared to 65.97% for the HISC. For the text sentiment classification, in a sub-data set of B-T4SA, an accuracy of 92.10% was achieved. Finally, the text–image combination, in the authors' private data set, achieved an accuracy of 78.84%. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

29. Impact of Clinical Aspects and Pathophysiology Mechanisms of Acute Kidney Injury on Outcomes of Patients Affected by COVID-19—A Retrospective Cohort Study.

Author

Cardoso, Pedro Andriolo, Yuasa, Bruna Kaori, Magalhães, Luis Eduardo, de Oliveira, Paula Gabriela Sousa, Favarin, Ana Julia, Zamoner, Welder, and Ponce, Daniela

Subjects
*COVID-19, *ACUTE kidney failure, *SARS disease, *MULTIPLE organ failure, *HOSPITAL mortality
Abstract

Introduction: COVID-19, caused by the SARS-CoV-2 virus, has been associated with oligosymptomatic cases or severe acute respiratory syndrome, with multiple organ failure and death. One of the most significant events for clinical outcomes is Acute Kidney Injury (AKI). It is known that AKI in COVID-19 is multifactorial, and the main mechanisms are cytokine storm, metabolic stress, use of nephrotoxic drugs, rhabdomyolysis, viral tropism to kidney tissues, and multiple organ failure. However, little is known about the impact of AKI clinical presentation and pathophysiological mechanisms on the outcome of patients affected by COVID-19. Objectives: To identify AKI clinical presentation and etiology, also known as phenotypes, and pathophysiological mechanisms, also known as subphenotypes, in patients affected by COVID-19 and associate them with death. This cohort and retrospective study evaluate the medical records of patients with SARS-CoV-2 infection admitted to a tertiary public hospital from 1 June 2020, to 31 July 2021, from admission to clinical outcome (hospital discharge or death). Clinical and laboratory data were analyzed during the hospitalization. Renal function was estimated by urine output and serum creatinine; therefore, the diagnosis and AKI classification were based on the 2012 KDIGO criteria. The occurrence of AKI was the inclusion criterion. According to clinical and laboratory presentations, we recognized two phenotypes of AKI (the direct and indirect impact of SARS-CoV-2 on the kidney) and several pathophysiological mechanisms. Subphenotypes of the direct impact of SARS-CoV-2 on kidneys were associated with Kidney Viral Tropism, Cytokine Storm, COVID-19-Related Multiple Organ Failure, and Mixed (more than one mechanism associated with COVID-19). Subphenotypes of indirect impact of SARS-CoV-2 on kidney phenotypes were Ischemic, Nephrotoxic due to rhabdomyolysis, and Septic. Univariate and multivariate analyses were performed to identify risk factors associated with death. Result: In total, 372 patients were included; 55.6% were male, 82.3% were Caucasians, and the mean age was 61.4 years. The majority of patients were admitted to the ICU (88.2%) and required mechanical ventilation (86.3%). AKI was predominantly KDIGO 3 (65.6%). When classifying our patients' AKI in two kidney phenotypes based on their clinical presentation, the direct impact of the SARS-CoV-2 phenotype was predominant (71,5%) and associated with higher mortality (83.8 vs. 46.3%, p = 0.001). Among the AKI pathophysiological mechanisms, Mixed—synergism of viral mechanisms—was the most prevalent (23.4%), followed by Viral Tropism (19.9%), Multiple Organ Failure—MOF (18%), Septic (15.6%), Ischemic (12.9%), and Cytokine Storm (10.2%). Mortality was high (73.1%). Logistic regression identified APACHE II, ATN-ISS, and the direct impact of SARS-CoV-2 on the kidney as factors associated with death, while ischemic AKI was associated with lower mortality. Conclusions: We can conclude that APACHE II and ATN-ISS scoring are clinical predictions of hospital mortality in COVID patients with AKI, as well as AKI etiology involving the direct impact of SARS-CoV-2 on the kidney, while ischemic pathophysiological mechanisms of AKI are associated with lower mortality. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

30. Effects of plant taxonomic position on soil nematode communities in Antarctica.

Author

Zhang, Anning, Song, Hongxian, Liu, Ziyang, Cui, Hanwen, Ding, Haitao, Chen, Shuyan, Xiao, Sa, An, Lizhe, and Cardoso, Pedro

Subjects
SOIL nematodes, ANTARCTIC climate, CLIMATE change, SOIL composition, SOIL microbial ecology, NUCLEOTIDE sequencing, ECOSYSTEMS
Abstract

Copyright of Conservation Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
Full Text
View/download PDF

32. The BALA project: A pioneering monitoring of Azorean forest invertebrates over two decades (1999–2022)

Author

Pozsgai, Gabor, primary, Lhoumeau, Sébastien, additional, Amorim, Isabel R., additional, Boieiro, Mário, additional, Cardoso, Pedro, additional, Costa, Ricardo, additional, Ferreira, Maria Teresa, additional, Leite, Abrão, additional, Malumbres-Olarte, Jagoba, additional, Oyarzabal, Guilherme, additional, Rigal, François, additional, Ros-Prieto, Alejandra, additional, Santos, Ana M. C., additional, Gabriel, Rosalina, additional, and Borges, Paulo A. V., additional

Published
2024
Full Text
View/download PDF

33. Probiotics reshape the coral microbiome in situ without detectable off-target effects in the surrounding environment

Author

Delgadillo-Ordoñez, Nathalia, primary, Garcias-Bonet, Neus, additional, Raimundo, Inês, additional, García, Francisca C., additional, Villela, Helena, additional, Osman, Eslam O., additional, Santoro, Erika P., additional, Curdia, Joao, additional, Rosado, Joao G. D., additional, Cardoso, Pedro, additional, Alsaggaf, Ahmed, additional, Barno, Adam, additional, Antony, Chakkiath Paul, additional, Bocanegra, Carolina, additional, Berumen, Michael L., additional, Voolstra, Christian R., additional, Benzoni, Francesca, additional, Carvalho, Susana, additional, and Peixoto, Raquel S., additional

Published
2024
Full Text
View/download PDF

39. Figure 4a from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

40. Figure 6a from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

41. Figure 7 from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

43. Figure 5 from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

44. Figure 1 from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

45. Figure 3 from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

46. Figure 2 from: Crespo LC, Cardoso P, Malumbres-Olarte J, Pereira F, Romeiras M, Ros-Prieto A, Rigal F, Borges PAV (2024) Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia III: dry habitats of Cabo Verde Archipelago (São Vicente and Santo Antão). Biodiversity Data Journal 12: e115464. https://doi.org/10.3897/BDJ.12.e115464

Author

Crespo, Luís Carlos, primary, Cardoso, Pedro, additional, Malumbres-Olarte, Jagoba, additional, Pereira, Fernando, additional, Romeiras, Maria, additional, Ros-Prieto, Alejandra, additional, Rigal, François, additional, and Borges, Paulo, additional

Published
2024
Full Text
View/download PDF

48. A importância da colaboração de uma equipe multidisciplinar no cuidado de gestantes com Anemia Falciforme

Author

Parente, Rafaella Menezes de Oliveira, primary, Martins, Karoline Petricio, additional, Rôas, Francilene Bernardo Cordeiro, additional, Rôas, Yuri Alexander dos Santos, additional, Correia, Emanuel de Freitas, additional, Santos Neto, Francisco José de Oliveira, additional, Peixoto, Gabriel Fragoso, additional, Amaral, João Pedro Bruno e Silva, additional, Albernaz, Kamila Miranda Davino, additional, Farias, Lara Moreira de Souza, additional, Lessa, Maria Soares Quintella, additional, Barbosa, Mariana Oliveira, additional, Cardoso, Pedro Dias Vanderlei, additional, and Cavalcante, Rosângela Natália Gomes Quintino de Holanda, additional

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results