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1,095 results on '"Santos, Filipe"'

1. BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters

Author

Magalhães, Sandro Costa, Moreira, António Paulo, Santos, Filipe Neves dos, and Dias, Jorge

Subjects
Computer Science - Robotics, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

RGB-D sensors face multiple challenges operating under open-field environments because of their sensitivity to external perturbations such as radiation or rain. Multiple works are approaching the challenge of perceiving the 3D position of objects using monocular cameras. However, most of these works focus mainly on deep learning-based solutions, which are complex, data-driven, and difficult to predict. So, we aim to approach the problem of predicting the 3D objects' position using a Gaussian viewpoint estimator named best viewpoint estimator (BVE) powered by an extended Kalman filter (EKF). The algorithm proved efficient on the tasks and reached a maximum average Euclidean error of about 32 mm. The experiments were deployed and evaluated in MATLAB using artificial Gaussian noise. Future work aims to implement the system in a robotic system.

Published
2024

2. 3D tomatoes' localisation with monocular cameras using histogram filters

Author

Magalhães, Sandro Costa, Santos, Filipe Neves dos, Moreira, António Paulo, and Dias, Jorge

Subjects
Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition
Abstract

Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects' spatial position. RGB-D cameras are limited under open-field environments due to lightning interferences. Therefore, in this study, we approach the use of Histogram Filters (Bayesian Discrete Filters) to estimate the position of tomatoes in the tomato plant. Two kernel filters were studied: the square kernel and the Gaussian kernel. The implemented algorithm was essayed in simulation, with and without Gaussian noise and random noise, and in a testbed at laboratory conditions. The algorithm reported a mean absolute error lower than 10 mm in simulation and 20 mm in the testbed at laboratory conditions with an assessing distance of about 0.5 m. So, the results are viable for real environments and should be improved at closer distances.

Published
2023

5. Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models

Author

Magalhães, Sandro Costa, Santos, Filipe Neves, Machado, Pedro, Moreira, António Paulo, and Dias, Jorge

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Hardware Architecture, Computer Science - Distributed, Parallel, and Cluster Computing, 62M45, 62P30, 68Q85
Abstract

Purpose: Visual perception enables robots to perceive the environment. Visual data is processed using computer vision algorithms that are usually time-expensive and require powerful devices to process the visual data in real-time, which is unfeasible for open-field robots with limited energy. This work benchmarks the performance of different heterogeneous platforms for object detection in real-time. This research benchmarks three architectures: embedded GPU -- Graphical Processing Units (such as NVIDIA Jetson Nano 2 GB and 4 GB, and NVIDIA Jetson TX2), TPU -- Tensor Processing Unit (such as Coral Dev Board TPU), and DPU -- Deep Learning Processor Unit (such as in AMD-Xilinx ZCU104 Development Board, and AMD-Xilinx Kria KV260 Starter Kit). Method: The authors used the RetinaNet ResNet-50 fine-tuned using the natural VineSet dataset. After the trained model was converted and compiled for target-specific hardware formats to improve the execution efficiency. Conclusions and Results: The platforms were assessed in terms of performance of the evaluation metrics and efficiency (time of inference). Graphical Processing Units (GPUs) were the slowest devices, running at 3 FPS to 5 FPS, and Field Programmable Gate Arrays (FPGAs) were the fastest devices, running at 14 FPS to 25 FPS. The efficiency of the Tensor Processing Unit (TPU) is irrelevant and similar to NVIDIA Jetson TX2. TPU and GPU are the most power-efficient, consuming about 5W. The performance differences, in the evaluation metrics, across devices are irrelevant and have an F1 of about 70 % and mean Average Precision (mAP) of about 60 %.

Published
2022
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7. Convergence at infinity for solutions of nonhomogeneous degenerate elliptic equations in exterior domains

Author

Bonorino, Leonardo Prange, Dutra, Lucas Pinto, and Santos, Filipe Jung dos

Subjects
Mathematics - Analysis of PDEs, 35J62, 35J25
Abstract

In this work, first we prove that for any compact set $K\subset\mathbb{R}^{n}$ and any continuous function $\phi$ defined on $\partial K$, there exists a bounded weak solution in $C(\bar{\mathbb{R}^{n}\backslash K}) \cap C^1(\mathbb{R}^{n}\backslash K)$ to the exterior Dirichlet problem $$ \begin{cases} -{\rm div}\big(\,|\nabla u|^{p-2}A(\,|\nabla u|\,)\nabla u\,\big)=f & \text{ in }\, \mathbb{R}^n \backslash K \;\;\;\;\;\; u = \phi & \text{ on } \partial K \end{cases} $$ provided $p > n$, $A$ satisfies some growth conditions and $f\in L^{\infty}(\mathbb{R}^n)$ meets a suitable pointwise decay rate. We obtain thereafter the existence of the limit at the infinity for solutions to this problem, for any $p\in(1,+\infty)$ and $n\geq2$. Moreover, for $p > n$ we can show that the solutions converge at some rate and for $p

Published
2022

8. Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Author

Magalhães, Sandro A., Castro, Luís, Moreira, Germano, Santos, Filipe N., Cunha, mário, Dias, Jorge, and Moreira, António P.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics
Abstract

The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harvesting process in greenhouses, the visual perception system needs to detect the tomato in any life cycle stage (flower to the ripe tomato). The state-of-the-art for visual tomato detection focuses mainly on ripe tomato, which has a distinctive colour from the background. This paper contributes with an annotated visual dataset of green and reddish tomatoes. This kind of dataset is uncommon and not available for research purposes. This will enable further developments in edge artificial intelligence for in situ and in real-time visual tomato detection required for the development of harvesting robots. Considering this dataset, five deep learning models were selected, trained and benchmarked to detect green and reddish tomatoes grown in greenhouses. Considering our robotic platform specifications, only the Single-Shot MultiBox Detector (SSD) and YOLO architectures were considered. The results proved that the system can detect green and reddish tomatoes, even those occluded by leaves. SSD MobileNet v2 had the best performance when compared against SSD Inception v2, SSD ResNet 50, SSD ResNet 101 and YOLOv4 Tiny, reaching an F1-score of 66.15%, an mAP of 51.46% and an inference time of 16.44 ms with the NVIDIA Turing Architecture platform, an NVIDIA Tesla T4, with 12 GB. YOLOv4 Tiny also had impressive results, mainly concerning inferring times of about 5 ms., Comment: Dataset at DOI:10.25747/pc1e-nk92

Published
2021
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14. Mechanical modeling of superelastic tensegrity braces for earthquake-proof structures

Author

Fraternali, Fernando and Santos, Filipe

Subjects
Physics - Applied Physics
Abstract

This paper presents a novel application of tensegrity systems as lightweight and noninvasive braces for seismically resistant structures. The analyzed braces consist of D-bar systems equipped with shape memory alloy cables with superelastic response. These structures are able to markedly amplify the applied longitudinal displacements in the transverse direction, thus allowing for considerably large deformations of the SMA cables and high energy dissipation. The mechanics and the application of tensegrity braces for the reinforcement of anti-seismic structures are presented. A comparative study matches the seismic response of the analyzed systems with that of devices employing fluid viscous dampers. The results highlight the fact that D-bar units can be profitably employed as building blocks for innovative bracing systems, whose energy dissipation properties can easily surpass those of conventional anti-seismic braces., Comment: Preprint of Extreme Mechanics Letters (ISSN:2352-4316)

Published
2019
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20. Graphene and Natural Products: A Review of Antioxidant Properties in Graphene Oxide Reduction

Author

dos Santos, Filipe Kayodè Felisberto, primary, Júnior, Antônio Augusto Martins Pereira, additional, Filho, Arquimedes Lopes Nunes, additional, Fonseca, Clícia Joanna Neves, additional, Isidorio, Daysianne Kessy Mendes, additional, Araújo, Filipe de Almeida, additional, Oliveira, Pablo Henrique Ataide, additional, and Veiga Júnior, Valdir Florêncio da, additional

Published
2024
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22. The relationships among Leishmania infantum and phyllostomid bats assessed by histopathological and molecular assays

Author

da Silva, Alanderson Rodrigues, primary, Herrera, Heitor Miraglia, additional, de Oliveira, Carina Elisei, additional, Torres, Jaire Marinho, additional, Ferreira, Ana Maria Reis, additional, Leite, Juliana da Silva, additional, Menezes, Rodrigo Caldas, additional, Martinez, Érica Verneque, additional, de Oliveira, Gabrielly Moreira dos Santos, additional, Santos, Filipe Martins, additional, and de Andrade, Gisele Braziliano, additional

Published
2024
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26. Earth Observation—An Essential Tool towards Effective Aquatic Ecosystems' Management under a Climate in Change.

Author

Lisboa, Filipe, Brotas, Vanda, and Santos, Filipe Duarte

Subjects
MARINE resource management, ECOSYSTEM management, MARINE parks & reserves, ENVIRONMENTAL management, MARINE biodiversity, WATER quality monitoring, CHLOROPHYLL in water
Abstract

Numerous policies have been proposed by international and supranational institutions, such as the European Union, to surveil Earth from space and furnish indicators of environmental conditions across diverse scenarios. In tandem with these policies, different initiatives, particularly on both sides of the Atlantic, have emerged to provide valuable data for environmental management such as the concept of essential climate variables. However, a key question arises: do the available data align with the monitoring requirements outlined in these policies? In this paper, we concentrate on Earth Observation (EO) optical data applications for environmental monitoring, with a specific emphasis on ocean colour. In a rapidly changing climate, it becomes imperative to consider data requirements for upcoming space missions. We place particular significance on the application of these data when monitoring lakes and marine protected areas (MPAs). These two use cases, albeit very different in nature, underscore the necessity for higher-spatial-resolution imagery to effectively study these vital habitats. Limnological ecosystems, sensitive to ice melting and temperature fluctuations, serve as crucial indicators of a climate in change. Simultaneously, MPAs, although generally small in size, play a crucial role in safeguarding marine biodiversity and supporting sustainable marine resource management. They are increasingly acknowledged as a critical component of global efforts to conserve and manage marine ecosystems, as exemplified by Target 3 of the Kunming–Montreal Global Biodiversity Framework (GBF), which aims to effectively conserve 30% of terrestrial, inland water, coastal, and marine areas by 2030 through protected areas and other conservation measures. In this paper, we analysed different policies concerning EO data and their application to environmental-based monitoring. We also reviewed and analysed the existing relevant literature in order to find gaps that need to be bridged to effectively monitor these habitats in an ecosystem-based approach, making data more accessible, leading to the generation of water quality indicators derived from new high- and very high-resolution satellite monitoring focusing especially on Chlorophyll-a concentrations. Such data are pivotal for comprehending, at small and local scales, how these habitats are responding to climate change and various stressors. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Nursing Students' Perceptions of a Novel Education Approach to Prevention and Control of Healthcare-Associated Infections: Insights from PrevInf Pilot Study.

Author

Santos-Costa, Paulo, Paiva-Santos, Filipe, and Graveto, João

Subjects
CROSS infection prevention, SCHOOL environment, HUMAN services programs, SOUTHEAST Asians, T-test (Statistics), RESEARCH funding, EUROPEANS, PILOT projects, QUESTIONNAIRES, TEACHING aids, NURSING, DESCRIPTIVE statistics, NURSING education, SIMULATION methods in education, EXPERIENCE, STUDENTS, RESEARCH, STUDENT attitudes, NATIONAL competency-based educational tests, DIPLOMAS (Education), DATA analysis software, NURSING students
Abstract

Background: Healthcare-associated infections (HAIs) pose a significant global threat, particularly in developing regions such as Southeast Asia. International bodies emphasize the role of formal undergraduate training in the prevention and control of HAIs. To address this, we aimed to explore the perceptions of Southeast Asian nursing students regarding a novel educational approach developed by a European–Southeast Asian project consortium. Methods: A pilot study was conducted in four nursing higher education institutions from Cambodia and Vietnam. First, local nursing educators conducted a 2 h classroom-based training session. Then, students were invited to participate for the first time in one of twelve evidence-based simulation scenarios developed by the research team, covering a range of nursing care situations related to the prevention and control of HAIs. After attending both components, students were asked to complete a paper-based questionnaire and rate their agreement with a set of statements on the appropriateness and meaningfulness of both components. Results: A total of 430 nursing students enrolled in the pilot study; 77.4% were female, with an average age of 19.8 years. The PrevInf educational intervention received positive feedback from participating students across settings, with strong agreement on the importance of proactiveness in competency development (M = 5.9, SD = 1.4). Notable differences between Cambodian and Vietnamese students were observed in terms of their receptiveness to the pre-selected teaching materials (p = 0.001) and strategies (p = 0.01) used by the nursing educators during their experience with the simulation scenarios. Conclusions: The PrevInf educational intervention shows promise in engaging Southeast Asian nursing students and fostering a deeper understanding of the prevention and control of HAIs. Further studies are warranted to refine the learning content and standardize the pedagogical strategies used by nursing educators across settings. This study was not registered. [ABSTRACT FROM AUTHOR]

Published
2024
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28. NEOTROPICAL CARNIVORES : a data set on carnivore distribution in the Neotropics

Author

Nagy-Reis, Mariana B., de Faria Oshima, Júlia Emi, Kanda, Claudia Zukeran, Palmeira, Francesca Belem Lopes, de Melo, Fabiano Rodrigues, Morato, Ronaldo Gonçalves, Bonjorne, Lilian, Magioli, Marcelo, Leuchtenberger, Caroline, Rohe, Fabio, Lemos, Frederico Gemesio, Martello, Felipe, Alves-Eigenheer, Milene, da Silva, Rafaela Aparecida, dos Santos, Juliana Silveira, Priante, Camila Fátima, Bernardo, Rodrigo, Rogeri, Patricia, Assis, Julia Camara, Gaspar, Lucas Pacciullio, Tonetti, Vinicius Rodrigues, Trinca, Cristiano Trapé, de Souza Ribeiro, Adauto, Bocchiglieri, Adriana, Hass, Adriani, Canteri, Adriano, Chiarello, Adriano Garcia, Paglia, Adriano Pereira, Pereira, Adriele Aparecida, de Souza, Agnis Cristiane, Gatica, Ailin, Medeiro, Akyllam Zoppi, Eriksson, Alan, Costa, Alan Nilo, González-Gallina, Alberto, Yanosky, Alberto A., de la Cruz, Alejandro Jesus, Bertassoni, Alessandra, Bager, Alex, Bovo, Alex Augusto Abreu, Mol, Alexandra Cravino, Bezerra, Alexandra Maria Ramos, Percequillo, Alexandre, Vogliotti, Alexandre, Lopes, Alexandre Martins Costa, Keuroghlian, Alexine, Hartley, Alfonso Christopher Zúñiga, Devlin, Allison L., de Paula, Almir, García-Olaechea, Alvaro, Sánchez, Amadeo, Aquino, Ana Carla Medeiros Morato, Srbek-Araujo, Ana Carolina, Ochoa, Ana Cecilia, Tomazzoni, Ana Cristina, Lacerda, Ana Cristyna Reis, de Faria Bacellar, Ana Elisa, Campelo, Ana Kellen Nogueira, Victoria, Ana María Herrera, de Oliveira Paschoal, Ana Maria, Potrich, Ana Paula, Gomes, Ana Paula Nascimento, Olímpio, Ana Priscila Medeiros, Costa, Ana Raissa Cunha, de Almeida Jácomo, Anah Tereza, Calaça, Analice Maria, Jesus, Anamélia Souza, de Barros Barban, Ananda, Feijó, Anderson, Pagoto, Anderson, Rolim, Anderson Claudino, Hermann, Andiara Paula, de Castro e Souza, Andiara Silos Moraes, Alonso, André Chein, Monteiro, André, Mendonça, André Faria, Luza, André Luís, Moura, André Luis Botelho, da Silva, André Luiz Ferreira, Lanna, Andre Monnerat, Antunes, Andre Pinassi, Nunes, André Valle, Dechner, Andrea, Carvalho, Andrea Siqueira, Novaro, Andres Jose, Scabin, Andressa Barbara, Gatti, Andressa, Nobre, Andrezza Bellotto, Montanarin, Anelise, Deffaci, Ângela Camila, de Albuquerque, Anna Carolina Figueiredo, Mangione, Antonio Marcelo, Pinto, Antonio Millas Silva, Pontes, Antonio Rossano Mendes, Bertoldi, Ariane Teixeira, Calouro, Armando Muniz, Fernandes, Arthur, Ferreira, Arystene Nicodemo, Ferreguetti, Atilla Colombo, Rosa, Augusto Lisboa Martins, Banhos, Aureo, da Silva de Souza Francisco, Beatriz, Cezila, Beatriz Azevedo, de Mello Beisiegel, Beatriz, de Thoisy, Benoit, Ingberman, Bianca, dos Santos Neves, Bianca, Pereira-Silva, Brenda, de Camargo, Bruna Bertagni, da Silva Andrade, Bruna, Santos, Bruna Silva, Leles, Bruno, Campos, Bruno Augusto Torres Parahyba, Kubiak, Bruno Busnello, de Albuquerque França, Bruno Rodrigo, Saranholi, Bruno Henrique, Mendes, Calebe Pereira, Devids, Camila Cantagallo, Pianca, Camila, Rodrigues, Camila, Islas, Camila Alvez, de Lima, Camilla Angélica, de Lima, Camilo Ribeiro, Gestich, Carla Cristina, Tedesco, Carla Denise, De Angelo, Carlos, Fonseca, Carlos, Hass, Carlos, Peres, Carlos A., Kasper, Carlos Benhur, Durigan, Carlos Cesar, Fragoso, Carlos Eduardo, Verona, Carlos Eduardo, Rocha, Carlos Frederico Duarte, Salvador, Carlos Henrique, Vieira, Carlos Leonardo, Ruiz, Carmen Elena Barragán, Cheida, Carolina Carvalho, Sartor, Caroline Charão, da Costa Espinosa, Caroline, Fieker, Carolline Zatta, Braga, Caryne, Sánchez-Lalinde, Catalina, Machado, Cauanne Iglesias Campos, Cronemberger, Cecilia, Luna, Cecília Licarião, Del Vechio, Christine, Bernardo, Christine Steiner S., Hurtado, Cindy Meliza, Lopes, Cíntia M., da Rosa, Clarissa Alves, Cinta, Claudia Cristina, Costa, Claudia Guimaraes, Zárate-Castañeda, Claudia Paola, Novaes, Claudio Leite, Jenkins, Clinton N., Seixas, Cristiana Simão, Martin, Cristiane, Zaniratto, Cristiane Patrícia, López-Fuerte, Cristina Fabiola, da Cunha, Cristina Jaques, De-Carvalho, Crizanto Brito, Chávez, Cuauhtémoc, Santos, Cyntia Cavalcante, Polli, Daiana Jeronimo, Buscariol, Daiane, Carreira, Daiane Cristina, Galiano, Daniel, Thornton, Daniel, da Silva Ferraz, Daniel, Lamattina, Daniela, Moreno, Daniele Janina, Moreira, Danielle Oliveira, Farias, Danilo Augusto, Barros-Battesti, Darci Moraes, Tavares, Davi Castro, Braga, David Costa, Gaspar, Denise Alemar, Friedeberg, Diana, Astúa, Diego, Silva, Diego Afonso, Viana, Diego Carvalho, Lizcano, Diego J., Varela, Diego M., Loretto, Diogo, Gräbin, Diogo Maia, Eaton, Donald P., da Silva, Douglas Machado, de Matos Dias, Douglas, Camara, Edeltrudes Maria Valadares Calaça, Barbier, Eder, Chávez-González, Edgar, Rocha, Ednaldo Cândido, de Souza Lima, Edson, Carrano, Eduardo, Eizirik, Eduardo, Nakano-Oliveira, Eduardo, Rigacci, Eduardo Delgado, Santos, Eduardo Marques, Venticinque, Eduardo Martins, Alexandrino, Eduardo Roberto, Ribeiro, Edvandro Abreu, Setz, Eleonore, Rocha, Eliana César Laranjeira Duarte, Carvalho, Elildo Alves Ribeiro, Rechenberg, Elisabete, da Costa Fraga, Elmary, Mendonça, Eloisa Neves, D’Bastiani, Elvira, Isasi-Catalá, Emiliana, Guijosa-Guadarrama, Emiliano, Ramalho, Emiliano Esterci, González, Enrique, Hasui, Érica, Saito, Erica Naomi, Fischer, Erich, Aguiar, Erick Francisco, Rocha, Erick Sekiama, Nambo, Erik Daniel Martínez, de la Peña-Cuéllar, Erika, Castro, Érika Paula, de Freitas, Evellyn Borges, Pedó, Ezequiel, Rocha, Fabiana Lopes, Girardi, Fabiane, de Aguiar Pereira, Fabiane, Soares, Fábio Angelo Melo, de Oliveira Roque, Fabio, Díaz-Santos, Fabio Gabriel, Patiu, Fabio Mello, do Nascimento, Fabio Oliveira, Ferreira, Fabíola Keesen, Diaz-Santos, Fabricio, Fantacini, Felipe Moreli, Pedrosa, Felipe, da Silva, Felipe Pessoa, Velez-Garcia, Felipe, Gomes, Felipe Bittioli R., da Silva, Fernanda Guedes, Michalski, Fernanda, de Azevedo, Fernanda Cavalcanti, de Barros, Fernanda Cristina, da Silva Santos, Fernanda, Abra, Fernanda Delborgo, do Passo Ramalho, Fernanda, Hatano, Fernanda Martins, Anaguano-Yancha, Fernando, Gonçalves, Fernando, Pedroni, Fernando, Passos, Fernando C., de Castro Jacinavicius, Fernando, m, Fernando César Gonçalves Bonfi, Puertas, Fernando Henrique, Contreras-Moreno, Fernando M., Tortato, Fernando Rodrigo, Santos, Filipe Martins, Chaves, Flávia Guimarães, Tirelli, Flavia Pereira, Boas, Flávio Eduardo Vilas, Rodrigues, Flavio Henrique Guimarães, Ubaid, Flávio Kulaif, Grotta-Neto, Francisco, Palomares, Francisco, Souza, Franco Leandro, Costa, Francys Emanuelle, França, Frederico G. R., Pinto, Fredy Ramírez, Aguiar, Gabriel Lima, Hofmann, Gabriel Selbach, Heliodoro, Gabriela, Duarte, Gabriela Teixeira, de Andrade, Gabrielle Ribeiro, Beca, Gabrielle, Zapata-Ríos, Galo, Giné, Gastón Andrés Fernandez, Powell, George V. N., Fernandes, Geraldo Wilson, Forero-Medina, German, Melo, Geruza L., Santana, Gindomar Gomes, Ciocheti, Giordano, Alves, Giselle Bastos, de Oliveira Souto, Glauber Henrique Borges, Villarroel, Glenda Jéssica, de Oliveira Porfirio, Grasiela Edith, Batista, Graziele Oliveira, Behling, Greici Maia, Crespo, Guido Marcos Ayala, de Miranda Mourão, Guilherme, Rezende, Guilherme Zamarian, da Costa Toledo, Gustavo Alves, Herrera, Heitor Miraglia, Prado, Helena Alves, de Godoy Bergallo, Helena, Secco, Helio, Rajão, Henrique, Roig, Henrique Llacer, Concone, Henrique Villas Boas, Duarte, Herbert, Ermenegildo, Hiago, Neto, Hipólito Ferreira Paulino, Quigley, Howard, Lemos, Hudson Macedo, Cabral, Hugo, Fernandes-Ferreira, Hugo, del Castillo, Hugo Fernando, Ribeiro, Igor Kintopp, Coelho, Igor Pfeifer, Franceschi, Ingridi Camboim, Melo, Isabel, Oliveira-Bevan, Isabella, Mourthe, Italo, Bernardi, Itiberê, de la Torre, J. Antonio, Marinho-Filho, Jader, Martinez, Jaime, Perez, Jaime Xavier Palacios, Pérez-Torres, Jairo, Bubadué, Jamile, Silveira, Jana Rangel, Seibert, Jardel Brandão, Oliveira, Jasmim Felipe, Assis, Jasmine Resende, De la Maza, Javier, Hinojosa, Javier, Metzger, Jean Paul, Thompson, Jeff rey James, Svenning, Jens-Christian, Gouvea, Jéssica Abonizio, Souza, Jesus Rodrigues Domingos, Pincheira-Ulbrich, Jimmy, Nodari, Joana Zorzal, Miranda, João, Gebin, João Carlos Zecchini, Giovanelli, João Gabriel Ribeiro, Junior, João Luiz Rossi, Favoretti, João Paulo Pandini, Villani, João Paulo, Just, João Paulo Gava, Souza-Alves, João Pedro, Costa, Jociel Ferreira, Rocha, Joedison, Polisar, John, Sponchiado, Jonas, Cherem, Jorge José, Marinho, Jorge Reppold, Ziegler, Jörn, Cordeiro, José, de Sousa e Silva Júnior, José, Rodriguez-Pulido, Jose Ariel, dos Santos, José Carlos Chaves, dos Reis Júnior, José Clemensou, Mantovani, Jose Eduardo, Ramírez, José Fernando Moreira, Sarasola, José Hernán, Cartes, Jose Luis, Duarte, José Maurício Barbanti, Longo, Jose Milton, Dantas, José Oliveira, Venancio, José Otávio, de Matos, Jose Roberto, Pires, José Salatiel Rodrigues, Hawes, Joseph E., Santos, Joyce Gonçalves, Ruiz-Esparza, Juan, Lanfranco, Juan Andrés Martínez, Rudolf, Juan Carlos, Charre-Medellin, Juan Felipe, Zanón-Martínez, Juan Ignacio, Peña-Mondragón, Juan L., Krauer, Juan Manuel Campos, Arrabal, Juan Pablo, Beduschi, Julia, Ilha, Júlia, Mata, Julia Carolina, Bonanomi, Juliana, Jordao, Juliana, de Almeida-Rocha, Juliana Monteiro, Pereira-Ribeiro, Juliane, Zanoni, Juliani Bruna, Bogoni, Juliano André, Pacheco, Julio Javier Chacón, Palma, Kamila Marianne Contreras, Strier, Karen B., Castro, Karen Giselle Rodriguez, Didier, Karl, Schuchmann, Karl L., Chávez-Congrains, Karla, Burs, Kathrin, Ferraz, Katia M. P. M. B., Juarez, Keila Macfadem, Flesher, Kevin, Morais, Kimberly Danielle Rodrigues, Lautenschlager, Laís, Grossel, Laís Aline, Dahmer, Lais Camila, de Almeida, Lana Resende, Fornitano, Larissa, de Nazaré Barros Barbosa, Larissa, Bailey, Larissa L., Barreto, Larissa Nascimento, Villalba, Laura Magnolia, Magalhães, Laura Martins, Cullen, Laury, Marques, Leandro, Costa, Leonardo Marques, Silveira, Leandro, Moreira, Leandro Santana, Sartorello, Leonardo, de Carvalho Oliveira, Leonardo, de Paula Gomes, Leonardo, dos Santos Aguiar, Leonardo, da Silva, Leonardo Henrique, Mendonça, Leonardo Siqueira, Valenzuela, Leonor Adriana, Benavalli, Letícia, Dias, Leticia Coutinho Sangy, Munhoes, Leticia Prado, Catenacci, Lilian, Rampim, Lilian Elaine, de Paula, Lívia Maria, Nascimento, Lorena Anne, da Silva, Lucas Gonçalves, Quintilham, Lucas, Segura, Lucas Ramis, Perillo, Lucas Neves, Rezende, Lucas Rodrigo, Retta, Lucía Martínez, Rojas, Lucia Nathaly Stefany, Guimarães, Luiza Neves, Araújo, Luciana, da Silva, Luciana Zago, de Alagão Querido, Luciano Carramaschi, Verdade, Luciano Martins, Perera-Romero, Lucy E., Carvalho-Leite, Ludimila Juliele, Hufnagel, Ludmila, Bernardo, Luis Renato Rezende, Oliveira, Luiz Flamarion, Santos, Luiz Gustavo Rodrigues Oliveira, Lyra, Luiz Henrique, Borges, Luiz Henrique Medeiros, Severo, Magnus Machado, Benchimol, Maíra, Quatrocchi, Maira Giuliana, Martins, Maísa Ziviani Alves, Rodrigues, Manoel, Penteado, Marcel José Franco, Moraes, Marcela Figuerêdo Duarte, Oliveira, Marcela Alvares, Lima, Marcela Guimarães Moreira, do Carmo Pônzio, Marcella, Cervini, Marcelo, da Silva, Marcelo, Passamani, Marcelo, Villegas, Marcelo Alejandro, dos Santos Junior, Marcelo Augusto, Yamane, Marcelo Hideki, de Assis Jardim, Marcia Maria, de Oliveira, Márcio Leite, Silveira, Marcos, Tortato, Marcos Adriano, de Souza Lima Figueiredo, Marcos, Vieira, Marcus Vinícius, Sekiama, Margareth L., da Silva, Maria Augusta Andrade, Nuñez, María Beatriz, Siviero, Maria Brunini, Carrizo, María Celina, Barros, Maria Claudene, Barros, Marília A. S., do Rosário, Maria Cristina Ferreira, Mora, María Cristina Peñuela, del Carmen Fleytas Jover, Maria, de Freitas Morandi, Maria Elisa, Huerta, Maria Emilia, Fernandes, Maria Emília Avelar, Siñani, Maria Estela Viscarra, Iezzi, María Eugenia, Pereira, Maria João Ramos, Vinassa, Maria Laura Gomez, Lorini, Maria Lucia, Jorge, Maria Luisa S. P., Morini, Maria Santina, Guenther, Mariana, Landis, Mariana Bueno, Vale, Mariana M., Xavier, Mariana Sampaio, Tavares, Mariana Silva, Kaizer, Mariane, Velilla, Marianela, Bergel, Mariano Maudet, Hartmann, Marilia Teresinha, da Silva, Marina Lima, Rivero, Marina, Munerato, Marina Salles, da Silva, Marina Xavier, Zanin, Marina, Marques, Marinêz Isaac, Haberfeld, Mario, Di Bitetti, Mario S., Bowler, Mark, Galliez, Maron, Ortiz-Moreno, Martha Lucia, Buschiazzo, Martin, Montes, Martin Alejandro, Alvarez, Martín R., Melo-Dias, Mateus, Reis, Matheus Gonçalves, Corrêa, Matheus Rocha Jorge, Tobler, Mathias W., Gompper, Matthew E., Nunez-Regueiro, Mauricio, Vecchi, Maurício Brandão, Graipel, Maurício Eduardo, Godoi, Mauricio Neves, Moura, Mauricio O., Konzen, Maurício Quoos, Pardo, Maximiliano Víctor, Beltrão, Mayara Guimarães, Mongelli, Melissa, Almeida, Meyline Oliveira, Gilmore, Michael P., Schutte, Michel, Faria, Michel Barros, Luiz, Micheli Ribeiro, de Paula, Milton, Hidalgo-Mihart, Mircea G., Perilli, Miriam Lucia Lages, Freitas-Junior, Mozart Caetano, da Silva, Murillo Prado, Denkiewicz, Natalia Mariana, Torres, Natalia Mundim, ers, Natalie Olifi, Da Silva De Lima, Natani, de Albuquerque, Natasha Moraes, Canassa, Nathália Fernandes, de Almeida Curi, Nelson Henrique, Prestes, Nêmora Pauletti, Falconi, Nereyda, Gurgel-Filho, Newton Mota, Pasqualotto, Nielson, Cáceres, Nilton C., Peroni, Nivaldo, de la Sancha, Noé U., Zanella, Noeli, Monroy-Vilchis, Octavio, Pays, Olivier, Arimoro, Omolabake Alhambra, Ribeiro, Otávio Santi, Villalva, Pablo, Gonçalves, Pablo Rodrigues, Santos, Paloma Marques, Brennand, Pamella, Rocha, Patrício, Akkawi, Paula, Cruz, Paula, Ferreira, Paula Modenesi, Prist, Paula Ribeiro, Martin, Paula Sanches, Arroyo-Gerala, Paulina, Auricchio, Paulo, Hartmann, Paulo Afonso, de Tarso Zuquim Antas, Paulo, Camargo, Paulo H. S. A., Marinho, Paulo Henrique, ino, Paulo Henrique Peira Ruff, Prado, Paulo Inácio, Martins, Paulo Wesley, Cordeiro-Estrela, Pedro, Luna, Pedro, Sarmento, Pedro, Peres, Pedro Henrique Faria, Galetti, Pedro Manoel, de Castilho, Pedro Volkmer, Renaud, Pierre-Cyril, Scarascia, Pietro Oliveira, De Paula Andrade Cobra, Priscilla, Lombardi, Pryscilla Moura, Bessa, Rafael, Reyna-Hurtado, Rafael, de Souza, Rafael Cerqueira Castro, Hoogesteijn, Rafael Jan, Alves, Rafael Souza Cruz, Romagna, Rafael Spilere, Silva, Ramon Lima, de Oliveira, Ramonna, Beltrão-Mendes, Raone, de Macêdo Alencar, Raony, Coutinho, Raphaella, da Silva, Raquel Costa, Grando, Raquel L. S. C. Caribé, Matos, Rayanne Gama, da Silva Araujo, Raylenne, Pedroso, Rayssa Faria, Durães, Rayssa Mainette Nantes, Ribeiro, Renan Lieto Alves, Chagas, Renata, Miotto, Renata, Bonikowski, Renata Twardowsky Ramalho, Muylaert, Renata Lara, Pagotto, Renata Valls, Hilário, Renato Richard, Faria, Rhayssa Terra, Bassini-Silva, Ricardo, Sampaio, Ricardo, Sartorello, Ricardo, Pires, Ricardo Araújo, Hatakeyama, Richard, de Cassia Bianchi, Rita, Buitenwerf, Robert, Wallace, Robert, Paolino, Roberta Montanheiro, Fusco-Costa, Roberto, Trovati, Roberto Guilherme, Tomasi, Roberto Junior, Hack, Robson Odeli Espíndola, Magalhães, Rodolfo Assis, de Albuquerque Nobrega, Rodrigo Affonso, de Almeida Nobre, Rodrigo, Massara, Rodrigo Lima, Fróes, Rodrigo Medina, da Cunha Araújo, Rodrigo Paulo, Pérez, Rodrigo Raúl León, Jorge, Rodrigo Silva Pinto, de Paula, Rogério Cunha, Martins, Rogério, da Cunha, Rogério Grassetto Teixeira, Costa, Rômulo, Alves, Romulo Romeu Nobrega, Garcia-Anleu, Rony, Almeida, Rony Peterson Santos, Loachamín, Rubén Darío Cueva, Andrade, Rúbia Santana, Juárez, Rugieri, Bordallo, Samanta Uchôa, Guaragni, Samara Arsego, Carrillo-Percastegui, Samia E., Seber, Samile, Astete, Samuel, Hartz, Sandra Maria, Espinosa, Santiago, Solas, Sara Álvarez, Lima, Saulo Ramos, Silvestre, Saulo Meneses, de Souza Machado, Sávio Augusto, Keuroghlian-Eaton, Sean, Albanesi, Sebastian, Costa, Sebastián Andrés, Bazilio, Sergio, Mendes, Sergio Lucena, Althoff, Sérgio Luiz, Pinheiro, Shery Duque, Napiwoski, Silvio Junior, Ramirez, Sixto Fernández, Talamoni, Sonia Aparecida, Age, Stefani Gabrieli, Pereira, Taiguã Corrêa, Moreira, Tainah Cruz, Trigo, Tatiane Campos, da Silva Gondim, Tayana Mendonça, Karlovic, Thamíris Christina, Cavalcante, Thiago, Maccarini, Thiago, Rodrigues, Thiago Ferreira, de Camargo e Timo, Thiago Philipe, Monterrubio, Tiberio Cesar, Piovezan, Ubiratan, Cavarzere, Vagner, Towns, Valeria, Onofrio, Valeria Castilho, Oliveira, Valeska Buchemi, Araújo, Valquíria Cabral, Melo, Vanessa Lazaro, Kanaan, Vanessa Tavares, Iwakami, Victor, Vale, Victor, Filho, Vilmar Picinatto, Alberici, Vinicius, Bastazini, Vinicius A. G., Orsini, Vinícius Santana, da Silva Braz, Vivian, Bonzi, Viviana B. Rojas, Layme, Viviane Maria Guedes, Gaboardi, Viviane Telles Rodrigues, Rocha, Vlamir José, Martins, Waldney Pereira, Tomas, Walfrido Moraes, Hannibal, Wellington, Dáttilo, Wesley, Silva, Wesley R., Endo, Whaldener, Bercê, William, de la Cruz, Yaribeth Bravata, Ribeiro, Yuri Geraldo Gomes, Galetti, Mauro, and Ribeiro, Milton C.

Published
2020

39. The effect of acid-base clustering and ions on the growth of atmospheric nano-particles.

Author

Lehtipalo, Katrianne, Rondo, Linda, Kontkanen, Jenni, Schobesberger, Siegfried, Jokinen, Tuija, Sarnela, Nina, Kürten, Andreas, Ehrhart, Sebastian, Franchin, Alessandro, Nieminen, Tuomo, Riccobono, Francesco, Sipilä, Mikko, Yli-Juuti, Taina, Duplissy, Jonathan, Adamov, Alexey, Ahlm, Lars, Almeida, João, Amorim, Antonio, Bianchi, Federico, Breitenlechner, Martin, Dommen, Josef, Downard, Andrew J, Dunne, Eimear M, Flagan, Richard C, Guida, Roberto, Hakala, Jani, Hansel, Armin, Jud, Werner, Kangasluoma, Juha, Kerminen, Veli-Matti, Keskinen, Helmi, Kim, Jaeseok, Kirkby, Jasper, Kupc, Agnieszka, Kupiainen-Määttä, Oona, Laaksonen, Ari, Lawler, Michael J, Leiminger, Markus, Mathot, Serge, Olenius, Tinja, Ortega, Ismael K, Onnela, Antti, Petäjä, Tuukka, Praplan, Arnaud, Rissanen, Matti P, Ruuskanen, Taina, Santos, Filipe D, Schallhart, Simon, Schnitzhofer, Ralf, Simon, Mario, Smith, James N, Tröstl, Jasmin, Tsagkogeorgas, Georgios, Tomé, António, Vaattovaara, Petri, Vehkamäki, Hanna, Vrtala, Aron E, Wagner, Paul E, Williamson, Christina, Wimmer, Daniela, Winkler, Paul M, Virtanen, Annele, Donahue, Neil M, Carslaw, Kenneth S, Baltensperger, Urs, Riipinen, Ilona, Curtius, Joachim, Worsnop, Douglas R, and Kulmala, Markku

Abstract

The growth of freshly formed aerosol particles can be the bottleneck in their survival to cloud condensation nuclei. It is therefore crucial to understand how particles grow in the atmosphere. Insufficient experimental data has impeded a profound understanding of nano-particle growth under atmospheric conditions. Here we study nano-particle growth in the CLOUD (Cosmics Leaving OUtdoors Droplets) chamber, starting from the formation of molecular clusters. We present measured growth rates at sub-3 nm sizes with different atmospherically relevant concentrations of sulphuric acid, water, ammonia and dimethylamine. We find that atmospheric ions and small acid-base clusters, which are not generally accounted for in the measurement of sulphuric acid vapour, can participate in the growth process, leading to enhanced growth rates. The availability of compounds capable of stabilizing sulphuric acid clusters governs the magnitude of these effects and thus the exact growth mechanism. We bring these observations into a coherent framework and discuss their significance in the atmosphere.

Published
2016

42. EFICÁCIA DO USO DA PROFILAXIA ANTIMICROBIANA ESTENDIDA NA PREVENÇÃO DE INFECÇÃO DE SÍTIO CIRÚRGICO NAS REDUÇÕES ABERTAS DE FRATURA E SEUS IMPACTOS NA EPIDEMIOLOGIA MICROBIOLÓGICA ASSOCIADA

Author

da Silva, Raquel Bandeira, primary, de Carvalho Gontijo, Thiago, additional, Santos, Filipe Siqueira, additional, de Abreu e Silva, Henrique Botelho, additional, Nissan, Igor Nogueira, additional, Moreira, Marcus Vinícius Santos, additional, da Silva, Rafael Marcos Bandeira, additional, Mota, Gabrielle Adriane Rodrigues, additional, Messias, Glauco Sobreira, additional, Couto, Braulio RGM, additional, and José costa Salles, Mauro, additional

Published
2023
Full Text
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43. NEOTROPICAL XENARTHRANS : a data set of occurrence of xenarthran species in the Neotropics

Author

Santos, Paloma Marques, Bocchiglieri, Adriana, Chiarello, Adriano Garcia, Paglia, Adriano Pereira, Moreira, Adryelle, de Souza, Agnis Cristiane, Abba, Agustin Manuel, Paviolo, Agustin, Gatica, Ailin, Medeiro, Akyllan Zoppi, Costa, Alan Nilo, Gallina, Alberto Gonzalez, Yanosky, Alberto A., Jesus, Alejandro, Bertassoni, Alessandra, Rocha, Alessandro, Bovo, Alex Augusto Abreu, Bager, Alex, Mol, Alexandra Cravino, Martensen, Alexandre Camargo, Faustino, Alexandre Casagrande, Lopes, Alexandre Martins Costa, Percequillo, Alexandre Reis, Vogliotti, Alexandre, Keuroghlian, Alexine, de laColina, María Alicia, Devlin, Allison L., García-Olaechea, Alvaro, Sánchez, Amadeo, Srbek-Araujo, Ana Carolina, Ochoa, Ana Cecilia, Oliveira, Ana Cristina Mendes, Lacerda, Ana Cristyna Reis, Campelo, Ana Kellen Nogueira, de Oliveira Paschoal, Ana Maria, Costa, Ana Raíssa Cunha, Meiga, Ana Yoko Ykeuti, Jesus, Anamélia Souza, Feijó, Anderson, Hirsch, André, da Silva, André Luiz Ferreira, Botelho, André Luis Moura, Regolin, André Luis, Lanna, André Monnerat, Nunes, André Valle, Kindel, Andreas, Moraes, Andreia Magro, Gatti, Andressa, Noss, Andrew J., Nobre, Andrezza Bellotto, Montanarin, Anelise, Deffaci, Ângela Camila, de Albuquerque, Anna Carolina Figueiredo, de Oliveira, Anne Karoline, Mangione, Antonio Marcelo, Pontes, Antonio Rossano Mendes, Bertoldi, Ariane Teixeira, Calouro, Armando Muniz, Desbiez, Arnaud L. J., Fernandes, Arthur, Ferreguetti, Atilla Colombo, da Silva, Maria Augusta Andrade, Zimbres, Barbara, Luciano, Beatriz Fernandes Lima, de Thoisy, Benoit, Niebuhr, Bernardo Brandão S., Papi, Bernardo, Gómez-Valencia, Bibiana, Santos, Bráulio A., Lima, Breno Campelo, Oliveira, Bruna Gomes, Santos, Bruna Silva, Campos, Bruno Augusto Torres Parahyba, Leles, Bruno, de Albuquerque França, Bruno Rodrigo, Lim, Burton, Oliveira, Caetano Troncoso, Cantagallo, Camila, Lara, Camila Clozato, Lima, Camila Silveira, Gestich, Carla Cristina, de Melo-Soares, Carla Danielle, Peres, Carlos A., Kasper, Carlos Benhur, Candia-Gallardo, Carlos, De Angelo, Carlos, Fragoso, Carlos Eduardo, de Freitas, Carlos Henrique, Salvador, Carlos Henrique, Brocardo, Carlos R., Melo, Carolina Depolito, Leuchtenberger, Caroline, Braga, Caryne, Sánchez-Lalinde, Catalina, Bueno, Cecília, Luna, Cecília Licarião, Rojano, Cesar, Hurtado, Cindy Meliza, dos Santos, Cinthya Chiva, Tellaeche, Cintia, Rosa, Clarissa, de Campos, Claudia Bueno, Silva, Cláudia Regina, Kanda, Claudia Zukeran, Jenkins, Clinton N., McDonough, Colleen, Trinca, Cristiano Trapé, da Cunha, Cristina Jaques, Widmer, Cynthia Elisa, Santos, Cyntia, Buscariol, Daiane, Carreira, Daiane Cristina, Carvalho, Danianderson Rodrigues, da Silva Ferraz, Daniel, Casali, Daniel, Thornton, Daniel, Vasconcellos, Daniela Rodrigues, Barcelos, Daniele, Brown, Danielle, Ramos, Daniella Leal, Moreira, Danielle Oliveira, Yogui, Débora Regina, Faria, Deborah, Sana, Denis Alessio, de Mattia, Denise Lidoro, Henz, Denison José, Friedeberg, Diana B, Carvalho, Diana Letícia Kruger Pacheco, Astúa, Diego, Queirolo, Diego, Varela, Diego M., Eaton, Donald P., Dias, Douglas Matos, Rivadeneira, Edgar Federico, Rocha, Ednaldo Cândido, de Abreu-Júnior, Edson Fiedler, Carrano, Eduardo, Santos, Eduardo Marques, Setz, Eleonore Zulnara Freire, Carvalho, Elildo Alves Ribeiro, de Almeida Chiquito, Elisandra, de Matos Cardoso, Elizandra, Mendonça, Eloisa Neves, D’Bastiani, Elvira, Vieira, Emerson M., Ramalho, Emiliano Esterci, Guijosa-Guadarrama, Emiliano, González, Enrique, Maggiorini, Erica Vanessa, Fischer, Erich, Aguiar, Erick Francisco, Castro, Érika Paula, de la Peña-Cuéllar, Erika, de Castro, Ernesto B. Viveiros, Brítez, Evelyn Beatriz, Vanderhoeven, Ezequiel Andres, Pedó, Ezequiel, Rocha, Fabiana Lopes, Girardi, Fabiane, de Oliveira Roque, Fabio, Mazim, Fábio Dias, de Barros, Fabio Monteiro, Martello, Felipe, Fantacini, Felipe Moreli, Pedrosa, Felipe, Peters, Felipe Bortolotto, Abra, Fernanda Delborgo, de Azevedo, Fernanda Cavalcanti, da Silva Santos, Fernanda, da Silva, Fernanda Guedes, Teixeira, Fernanda Zimmermann, Perini, Fernando Araujo, Passos, Fernando C., Carvalho, Fernando, de Azevedo, Fernando Cesar Cascelli, de Pinho, Fernando Ferreira, Gonçalves, Fernando, Lima, Fernando, Contreras-Moreno, Fernando M., Pedroni, Fernando, Tortato, Fernando Rodrigo, Santos, Filipe Pereira Rego, Caruso, Flavia, Tirelli, Flávia Pereira, Miranda, Flávia Regina, Rodrigues, Flávio Henrique Guimarães, Ubaid, Flávio Kulaif, Palmeira, Francesca Belem Lopes, da Silva, Franciane Almeida, Grotta-Neto, Francisco, de Souza, Franco Leandro, Costa, Francys Emanuelle, Pérez-Garduza, Freddy, Delsuc, Frédéric, Lemos, Frederico, Pinto, Fredy Ramirez, Boaglio, Gabriel Ivan, Massocato, Gabriel Fávero, Preuss, Gabriel, Hofmann, Gabriel Selbach, Aguiar, Gabriel Lima, Oliveira, Gabriela Schuck, Duarte, Gabriela Teixeira, Beca, Gabrielle, Giné, Gastón Andrés Fernandez, Batista, Graziele Oliveira, Gil, Guillermo Eduardo, Gonsioroski, Gustavo, Secco, Helio, Medeiros, Hugo Reis, Coelho, Igor Pfeifer, Franceschi, Ingridi Camboim, Bernardi, Itiberê, de la Torre, J. Antonio, Zocche, Jairo José, Seibert, Jardel Brandão, de Faria Falcão, Jéssica Caroline, Dias, Jéssica Helena Mangueira, Nodari, Joana Zorzal, Oliveira, João Alves, Giovanelli, João Gabriel Ribeiro, Favoretti, João Paulo Pandini, Polisar, John, Sponchiado, Jonas, Cherem, Jorge José, Ramírez, José Fernando Moreira, de Toledo, José Julio, Duarte, José Maurício Barbanti, de Matos, Jose Roberto, Arrabal, Juan Pablo, de Faria Oshima, Júlia Emi, Ribeiro, Juliana Fernandes, Bogoni, Juliano André, Pacheco, Julio Javier Chacón, Schuchmann, Karl L., Ferraz, Katia M. P. M. B., dos Santos Everton, Laís, Bailey, Larissa L., Gonçalves, Larissa Oliveira, Cullen, Laury, de Andrade, Layla Reis, Trevelin, Leonardo Carreira, Bonjorne, Lilian, de Almeida Rodrigues, Livia, Leuzinger, Lucas, Perillo, Lucas Neves, Araújo, Luciana Souza, Hufnagel, Ludmila, Ribeiro, Ludmilla Oliveira, Bernardo, Luis Renato Rezende, Oliveira-Santos, Luiz Gustavo Rodrigues, Varzinczak, Luiz Henrique, Borges, Luiz Henrique Medeiros, Guimarães, Luiza Neves, Möcklinghoff, Lydia, Oliveira, Marcela Alvares, Magioli, Marcelo, de Assis Jardim, Márcia Maria, de Oliveira, Márcio Leite, Tortato, Marcos Adriano, Dums, Marcos, Iezzi, Maria Eugenia, Pereira, Maria João Ramos, Jorge, Maria Luísa, de Castro Morini, Maria Santina, Landis, Mariana Bueno, Xavier, Mariana Sampaio, Barros, Marília A. S., da Silva, Marina Lima, Rivero, Marina, Zanin, Marina, Marques, Marinêz Isaac, Alves, Mario Henrique, Di Bitetti, Mario S., Alvarez, Martín R., Graipel, Maurício Eduardo, Godoi, Mauricio Neves, Benedetti, Maximiliano Augusto, Beltrão, Mayara Guimarães, Monteiro, Miguel Coutinho Moretta, de Paula, Milton José, Perilli, Miriam Lucia Lages, da Silva, Murillo Prado, Villar, Nacho, De Albuquerque, Natasha Moraes, Canassa, Nathália F., Filho, Newton Mota, da Rosa Oliveira, Nicole, Pasqualotto, Nielson, Cáceres, Nilton Carlos, Attias, Nina, Favarini, Marina Ochoa, Ribeiro, Otávio Santi, Gonçalves, Pablo Rodrigues, da Rocha, Patrício Adriano, Condé, Paula Alves, Akkawi, Paula, Cruz, Paula, Lira, Paula Koeler, Ferreira, Paula Modenesi, Arroyo-Gerala, Paulina, Hartmann, Paulo Afonso, de Tarso Zuquim Antas, Paulo, Marinho, Paulo Henrique, de Faria Peres, Pedro Henrique, Peña-Mondragón, Juan Luis, Lombardi, Pryscilla Moura, de Souza Laurindo, Rafael, Alves, Rafael Souza Cruz, Grangeiro, Raissa Danielle Praxedes, Silva, Ramon Lima, Beltrão-Mendes, Raone, Bonikowski, Renata Twardowsky Ramalho, Reppucci, Juan, Arrais, Ricardo Corassa, Sampaio, Ricardo, Sartorello, Ricardo, Bovendorp, Ricardo Siqueira, McNab, Roan, Hack, Robson Odeli Espíndola, Magalhães, Rodolfo Assis, Araújo, Rodrigo Costa, de Almeida Nobre, Rodrigo, Pérez, Rodrigo Raúl León, Massara, Rodrigo Lima, de Paula, Rogério Cunha, Anleu, Rony García, Marques, Rosane Vieira, Dornas, Rubem, Rolim, Samir Gonçalves, Cavalcanti, Sandra M. C., Lima, Saulo Ramos, Ballari, Sebastián A., Santamaría, Silvia Benito, Silva, Sofia Marques, Age, Stefani Gabrieli, Godim, Tayana, Sobral-Souza, Thadeu, Maccarini, Thiago Bernardes, Rodrigues, Thiago Ferreira, Piovezan, Ubiratan, da Cunha Tavares, Valéria, Quiroga, Verónica Andrea, Krepschi, Victor Gasperotto, Filho, Vilmar Picinatto, Bastazini, Vinícius Augusto Galvão, de Oliveira Gasparotto, Vinicius Peron, Orsini, Vinicius Santana, Layme, Viviane Maria Guedes, Hannibal, Wellington, Dáttilo, Wesley, de Carvalho, William Douglas, Loughry, William James, Di Blanco, Yamil Edgardo, Núñez-Regueiro, Mauricio M., Giubbina, Marina Furlan, Passamani, Marcelo, de Alagão Querido, Luciano Carramaschi, da Costa Toledo, Gustavo Alvez, Ribeiro, Igor Kintopp, Quintilham, Lucas, de Bustos, Soledad, de la Maza, Javier, Neto, Jorge Ferreira Lima, Von Kossel de Andrade Silva, Katyucha, Sartorello, Leonardo, Rampim, Lilian Elaine, Marás, Gustavo A., Camino, Micaela, Freitas-Junior, Mozart, Perovic, Pablo Gaston, Paolino, Roberta Montanheiro, Ferreira, Scarlat Dalva, Towns, Valeria, Esperandio, Isadora Beraldi, Aximoff, Izar, Beduschi, Júlia, Guenther, Mariana, de Cassia Bianchi, Rita, Keuroghlian-Eaton, Sean, Mendes, Sérgio Lucena, de Fatima Cunha, Lerrane, Cirignoli, Sebastián, Ciocheti, Giordano, do Prado, Helena Alves, Fernandes-Ferreira, Hugo, de Sena, Liana Mara Mendes, Yamane, Marcelo Hideki, Brennand, Pamella G. G, da Silva, Rayana Diniz, Escobar, Santiago, Endo, Whaldener, Hurtado, Rafael Reyna, Gontijo, Nila Rássia Costa, Marsh, Laura K., Severo, Magnus Machado, Pardo, Julia Martinez, Costa, Sebastián Andrés, Melo, Geruza Leal, Santana, Gindomar Gomes, de Miranda Mourão, Guilherme, Gaspari, Gustavo Gabirele, Duarte, Herbert, Cabral, Hugo, da Silva, Leonardo Henrique, Mendonça, Luana, Barbosa, Lucas Lobo, dos Santos, Manuela Vieira, Moraes, Marcela Figuerêdo Duarte, Gordo, Marcelo, Versiani, Natalia Fraguas, Cantero, Nicolás, Pays, Olivier, Guedes, Patrícia Gonçalves, Colas-Rosas, Paul François, Ribeiro, Paulo, Renaud, Pierre-Cyril, Hoogesteijn, Rafael Jan, Ayala, Rodrigo, da Cunha, Rogério Grassetto Teixeira, Schaub, Roxane, Laurito, Sabrina, Betkowski, Samuel Eurich, Cortez, Sara, Silva, Shirley Seixas Pereira, de Oliveira, Tadeu Gomes, Spironello, Wilson Roberto, Gengler, Nicholas, Hidalgo, Mircea Mihart, Juárez, Rugieri, Iglesias, Jesús A, Anacleto, Teresa Cristina, de Souza Fialho, Marcos, Cavicchioli, Guilherme, Beccato, Maria Angélica Barbosa, da Silva, Marcelo, Neto, Omar Correia, Lopes, Karine Galisteo Diemer, Godoy, Leandro Perez, Luiz, Micheli Ribeiro, Rojas Bonzi, Viviana B., Ferreira, Guilherme Braga, Oliveira, Marcelo Juliano Rabelo, Hinojosa, Javier, de Oliveira, Luiz Flamarion Barbosa, Nagy-Reis, Mariana Baldy, Ramirez, Sixto Fernández, Concone, Henrique Villas Boas, Mourthe, Italo, Martínez-Lanfranco, Juan A., Zanoni, Juliani Bruna, Moreira, Tainah Cruz, Guarderas, Zoila Vega, Bazilio, Sérgio, Cervini, Marcelo, Pinheiro, Marcell Soares, Morato, Ronaldo Gonçalves, Peroni, Nivaldo, Trigo, Tatiane Campos, Machado, Ricardo Bomfim, Gaspari, Fernando, Koenemann, Joceleia G., Rudolf, Juan Carlos, Benchimol, Maíra, Vieira, Marcus Vinícius, Retta, Lucía Martínez, Santiago, Pablo Gerardo Fernández, Ciccia, Paula Gonzalez, Estrela, Pedro Cordeiro, Carvalho, Santiago, Esbérard, Carlos Eduardo Lustosa, de la Cruz, Yaribeth Bravata, Castro-Prieto, Jessica, Braga, Ricardo Miranda, Cartes, Jose Luis, Andrade-Núñez, María José, Denkiewicz, Natalia Mariana, Falconi, Nereyda, Pezzuti, Juarez Carlos Brito, del Castillo Cordero, Hugo Fernando, de Sousa, Luziene Conceição, de Gaspari Júnior, Roque Lázaro, Santos-Filho, Manoel, Almeida, Josué Santos, Thompson, Jeffrey J., dos Santos, Juliana Silveira, Pereira-Ribeiro, Juliane, Burs, Kathrin, da Silva, Kena Ferrari Moreira, Velilla, Marianela, da Silva, Marina Xavier, de la Sancha, Noé U., Pinheiro, Paula Fabiana, de Castilho, Pedro Volkmer, Bercê, William, Assis, Julia Camara, Tonetti, Vinicius Rodrigues, Alves-Eigenheer, Milene, Chinem, Simonne, Honda, Laura K., de Godoy Bergallo, Helena, Alberici, Vinicius, Wallace, Robert, Krauer, Juan Manuel Campos, Ribeiro, Milton Cezar, and Galetti, Mauro

Published
2019

45. Phytochemical and Bioactivity Studies from Plectranthus ecklonii†

Author

Márcia Santos Filipe, Eva María Domínguez-Martín, Ana María Díaz-Lanza, Salvatore Princiotto, and Patricia Rijo

Subjects
Plectranthus, Lamiaceae, cancer, dermatology, diterpenes, royleanones, Medicine
Abstract

Plectranthus is a well-known genus belonging to the Lamiaceae family and is mainly distributed in tropical areas of the globe. Furthermore, Plectranthus species are particularly rich in phenolic compounds and abietane-type diterpenes, such as royleanones, widely used in traditional medicine against a vast range of diseases, including skin disorders and cancer. In order to study the phytochemical composition and the biological activity of P. ecklonii Benth., ultrasound-assisted extractions were carried out using methanol and acetone as solvents. It is known from the literature data that phenolic compounds are predominant in the methanol extracts, while the phytochemical analysis of the acetone extracts from our research group evidenced abietanes as the most frequently occurring secondary metabolites. Methanol extracts were screened to assay their potential bioactivity as antimicrobials, antioxidants, and on skin-related enzymes, as well as their general toxicity. The results showed only a moderate effect against bacteria, but a very promising antioxidant activity, and no relevant general toxicity. High tyrosinase inhibition was observed, together with an excellent inhibitory activity on collagenase, making the methanolic extract a promising raw material to be used for the development of dermo-cosmetic formulations, especially those with antiaging activity. Fractionation and further purification were carried out on the acetone extracts, highlighting a significant cytotoxic activity, mainly due to the presence of diterpenes, with an observed IC50 in the low-micromolar range. Considering the potential applications for internal and topical uses, further studies are currently ongoing on both the extracts to investigate other relevant biological activities and ascertain their safety.

Published
2022
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46. The influence of parasitism by Trypanosoma cruzi in the hematological parameters of the white ear opossum (Didelphis albiventris) from Campo Grande, Mato Grosso do Sul, Brazil

Author

Arruda Gimenes Nantes, Wesley, Teixeira Gomes Barreto, Wanessa, Martins Santos, Filipe, Carvalho de Macedo, Gabriel, Castro Rucco, Andreza, de Oliveira Assis, William, Edith de Oliveira Porfírio, Grasiela, Braziliano de Andrade, Gisele, Maria Jansen, Ana, and Miraglia Herrera, Heitor

Published
2019
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47. Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border

Author

Porfirio, Grasiela Edith de Oliveira, Santos, Filipe Martins, de Macedo, Gabriel Carvalho, Barreto, Wanessa Teixeira Gomes, Campos, João Bosco Vilela, Meyers, Alyssa C., André, Marcos Rogério, Perles, Lívia, de Oliveira, Carina Elisei, Xavier, Samanta Cristina das Chagas, Andrade, Gisele Braziliano de, Jansen, Ana Maria, and Herrera, Heitor Miraglia

Published
2018
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50. The Six Critical Determinants That May Act as Human Sustainability Boundaries on Climate Change Action.

Author

Santos, Filipe Duarte, O'Riordan, Tim, Rocha de Sousa, Miguel, and Pedersen, Jiesper Strandsbjerg Tristan

Abstract

Significant advances have been achieved in multilateral negotiations regarding human development and environmental safeguarding since the 1972 UN Stockholm Conference. There is much greater global awareness and action towards sustainability. However, sustainability has persistently been sidelined, leading to the identification and definition of a transgressed "safe and just space for humanity". Here we develop a new evolutionary approach and methodology to explain the reasons why sustainability continues to be a difficult challenge for contemporary societies to adopt. We argue that these originate in six major biological, social, psychological, political, and cultural critical determinants that resulted from human biologic and cultural evolution. Although they are essential for human prosperity and wellbeing, these characteristics may also act as human sustainability boundaries. It is possible to reduce the inhibiting power of each critical determinant in the pathways to sustainability, a vital process that we term softening. Identifying, knowing, and softening these impediments is a necessary first step to achieving sustainability through greater self-knowledge and transformational processes. The application of the present methodology is restricted here to the climate change challenge. We examine the ways in which each human sustainability boundary is capable of obstructing climate action and offer possible ways to soften its hardness. [ABSTRACT FROM AUTHOR]

Published
2024
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