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49 results on '"Santos, Filipe"'

1. Unveiling global sustainability boundaries: exploring inner dimensions of human critical determinants for sustainability

Author: Environmental Sciences, Santos, Filipe Duarte, O’Riordan, Tim, de Sousa, Miguel Rocha, Pedersen, Jiesper Tristan Strandsbjerg, Environmental Sciences, Santos, Filipe Duarte, O’Riordan, Tim, de Sousa, Miguel Rocha, and Pedersen, Jiesper Tristan Strandsbjerg
Published: 2024

2. Correction: Increased policy ambition is needed to avoid the effects of climate change and reach carbon removal targets in Portugal

Author: Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, Dias, Luís Filipe, Kok, Kasper, van Vuuren, Detlef, Soares, Pedro M.M., Santos, Filipe Duarte, Azevedo, João C., Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, Dias, Luís Filipe, Kok, Kasper, van Vuuren, Detlef, Soares, Pedro M.M., Santos, Filipe Duarte, and Azevedo, João C.
Published: 2024

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

Author: Environmental Sciences, Santos, Filipe Duarte, O’Riordan, Tim, Rocha de Sousa, Miguel, Pedersen, Jiesper Strandsbjerg Tristan, Environmental Sciences, Santos, Filipe Duarte, O’Riordan, Tim, Rocha de Sousa, Miguel, and Pedersen, Jiesper Strandsbjerg Tristan
Published: 2024

4. Increased policy ambition is needed to avoid the effects of climate change and reach carbon removal targets in Portugal

Author: Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, Dias, Luís Filipe, Kok, Kasper, van Vuuren, Detlef, Soares, Pedro M.M., Santos, Filipe Duarte, Azevedo, João C., Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, Dias, Luís Filipe, Kok, Kasper, van Vuuren, Detlef, Soares, Pedro M.M., Santos, Filipe Duarte, and Azevedo, João C.
Published: 2024

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

6. An alternative exploitation of Synechocystis sp. PCC6803: A cascade approach for the recovery of high added-value products

Author: Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Imbimbo, Paola [0000-0002-5491-2297], Álvarez-Rivera, Gerardo [0000-0003-1657-8141], Ibáñez, Elena [0000-0003-2127-8303], Santos, Filipe Branco dos [0000-0002-4268-8080], Monti, Daria Maria [0000-0002-1136-0576], Imbimbo, Paola, D’Elia, Luigi, Corrado, Iolanda, Álvarez-Rivera, Gerardo, Marzocchella, Antonio, Ibáñez, Elena, Pezzella, Cinzia, Santos, Filipe Branco dos, Monti, Daria Maria, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Imbimbo, Paola [0000-0002-5491-2297], Álvarez-Rivera, Gerardo [0000-0003-1657-8141], Ibáñez, Elena [0000-0003-2127-8303], Santos, Filipe Branco dos [0000-0002-4268-8080], Monti, Daria Maria [0000-0002-1136-0576], Imbimbo, Paola, D’Elia, Luigi, Corrado, Iolanda, Álvarez-Rivera, Gerardo, Marzocchella, Antonio, Ibáñez, Elena, Pezzella, Cinzia, Santos, Filipe Branco dos, and Monti, Daria Maria
Abstract: Microalgal biomass represents a very interesting biological feedstock to be converted into several high-value products in a biorefinery approach. In this study, the cyanobacterium Synechocystis sp. PCC6803 was used to obtain different classes of molecules: proteins, carotenoids and lipids by using a cascade approach. In particular, the protein extract showed a selective cytotoxicity towards cancer cells, whereas carotenoids were found to be active as antioxidants both in vitro and on a cell-based model. Finally, for the first time, lipids were recovered from Synechocystis biomass as the last class of molecules and were successfully used as an alternative substrate for the production of polyhydroxyalkanoate (PHA) by the native PHA producer Pseudomonas resinovorans. Taken together, our results lead to a significant increase in the valorization of Synechocystis sp. PCC6803 biomass, thus allowing a possible offsetting of the process costs.
Published: 2023

7. Interlaboratory Reproducibility in Growth and Reporter Expression in the Cyanobacterium Synechocystis sp. PCC 6803

Author: German Research Foundation, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Biotechnology and Biological Sciences Research Council (UK), López-Maury, Luis [0000-0002-3510-0621], McCormick, Alistair J [0000-0002-7255-872X], Zedler, Julie A Z [0000-0002-0462-8810], Branco Dos Santos, Filipe [0000-0002-4268-8080], Mager, Maurice, Pineda Hernandez, Hugo, Brandenburg, Fabian, López-Maury, Luis, McCormick, Alistair J, Nürnberg, Dennis J, Orthwein, Tim, Russo, David A, Victoria, Angelo Joshua, Wang, Xiaoran, Zedler, Julie A Z, Branco Dos Santos, Filipe, Schmelling, Nicolas M, German Research Foundation, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Biotechnology and Biological Sciences Research Council (UK), López-Maury, Luis [0000-0002-3510-0621], McCormick, Alistair J [0000-0002-7255-872X], Zedler, Julie A Z [0000-0002-0462-8810], Branco Dos Santos, Filipe [0000-0002-4268-8080], Mager, Maurice, Pineda Hernandez, Hugo, Brandenburg, Fabian, López-Maury, Luis, McCormick, Alistair J, Nürnberg, Dennis J, Orthwein, Tim, Russo, David A, Victoria, Angelo Joshua, Wang, Xiaoran, Zedler, Julie A Z, Branco Dos Santos, Filipe, and Schmelling, Nicolas M
Abstract: In recent years, a plethora of new synthetic biology tools for use in cyanobacteria have been published; however, their reported characterizations often cannot be reproduced, greatly limiting the comparability of results and hindering their applicability. In this interlaboratory study, the reproducibility of a standard microbiological experiment for the cyanobacterial model organism Synechocystis sp. PCC 6803 was assessed. Participants from eight different laboratories quantified the fluorescence intensity of mVENUS as a proxy for the transcription activity of the three promoters PJ23100, PrhaBAD, and PpetE over time. In addition, growth rates were measured to compare growth conditions between laboratories. By establishing strict and standardized laboratory protocols, reflecting frequently reported methods, we aimed to identify issues with state-of-the-art procedures and assess their effect on reproducibility. Significant differences in spectrophotometer measurements across laboratories from identical samples were found, suggesting that commonly used reporting practices of optical density values need to be supplemented by cell count or biomass measurements. Further, despite standardized light intensity in the incubators, significantly different growth rates between incubators used in this study were observed, highlighting the need for additional reporting requirements of growth conditions for phototrophic organisms beyond the light intensity and CO2 supply. Despite the use of a regulatory system orthogonal to Synechocystis sp. PCC 6803, PrhaBAD, and a high level of protocol standardization, ∼32% variation in promoter activity under induced conditions was found across laboratories, suggesting that the reproducibility of other data in the field of cyanobacteria might be affected similarly.
Published: 2023

8. Interlaboratory Reproducibility in Growth and Reporter Expression in the Cyanobacterium Synechocystis sp. PCC 6803

Author: Universidad de Sevilla. Departamento de Bioquímica Vegetal y Biología Molecular, Deutsche Forschungsgemeinschaft / German Research Foundation (DFG), European Union (UE), Ministerio de Ciencia e Innovación (MICIN). España, Biotechnology and Biological Sciences Research Council. United Kingdom, Mager, Maurice, Pineda Hernandez, Hugo, Brandenburg, Fabian, López Maury, Luis, McCormick, Alistair J., Nurnberg, Dennis J., Orthwein, Tim, Russo, David A., Victoria, Angelo Joshua, Wang, Xiaoran, Zedler, Julie A. Z., Branco Dos Santos, Filipe, Schmelling, Nicolas M., Universidad de Sevilla. Departamento de Bioquímica Vegetal y Biología Molecular, Deutsche Forschungsgemeinschaft / German Research Foundation (DFG), European Union (UE), Ministerio de Ciencia e Innovación (MICIN). España, Biotechnology and Biological Sciences Research Council. United Kingdom, Mager, Maurice, Pineda Hernandez, Hugo, Brandenburg, Fabian, López Maury, Luis, McCormick, Alistair J., Nurnberg, Dennis J., Orthwein, Tim, Russo, David A., Victoria, Angelo Joshua, Wang, Xiaoran, Zedler, Julie A. Z., Branco Dos Santos, Filipe, and Schmelling, Nicolas M.
Abstract: In recent years, a plethora of new synthetic biology tools for use in cyanobacteria have been published; however, their reported characterizations often cannot be reproduced, greatly limiting the comparability of results and hindering their applicability. In this interlaboratory study, the reproducibility of a standard microbiological experiment for the cyanobacterial model organism Synechocystis sp. PCC 6803 was assessed. Participants from eight different laboratories quantified the fluorescence intensity of mVENUS as a proxy for the transcription activity of the three promoters PJ23100, PrhaBAD, and PpetE over time. In addition, growth rates were measured to compare growth conditions between laboratories. By establishing strict and standardized laboratory protocols, reflecting frequently reported methods, we aimed to identify issues with state-of-the-art procedures and assess their effect on reproducibility. Significant differences in spectrophotometer measurements across laboratories from identical samples were found, suggesting that commonly used reporting practices of optical density values need to be supplemented by cell count or biomass measurements. Further, despite standardized light intensity in the incubators, significantly different growth rates between incubators used in this study were observed, highlighting the need for additional reporting requirements of growth conditions for phototrophic organisms beyond the light intensity and CO2 supply. Despite the use of a regulatory system orthogonal to Synechocystis sp. PCC 6803, PrhaBAD, and a high level of protocol standardization, ∼32% variation in promoter activity under induced conditions was found across laboratories, suggesting that the reproducibility of other data in the field of cyanobacteria might be affected similarly
Published: 2023

9. Using psychometric testing procedures for scale validity, reliability, and invariance analysis: the PRETIE-Q portuguese version

Author: Rodrigues, Filipe, Morouço, Pedro, Antunes, Raul, Monteiro, Diogo, Jacinto, Miguel, Figueiredo, Nuno, Santos, Filipe, Bastos, Vasco, Teixeira, Diogo, Rodrigues, Filipe, Morouço, Pedro, Antunes, Raul, Monteiro, Diogo, Jacinto, Miguel, Figueiredo, Nuno, Santos, Filipe, Bastos, Vasco, and Teixeira, Diogo
Abstract: This study investigated the psychometric nature of preference for and tolerance of exercise intensity in physical activity. It initially re-examined the Preference for and Tolerance of the Intensity of Exercise Questionnaire (PRETIE-Q) among Portuguese exercisers, looking at its applicability to different exercise activities and exercise experiences. Then, to investigate the applicability of the measure in different groups, its invariance was examined. The sample consisted of 1117 participants (528 male, 589 female) aged 18–81 years old (Mage = 36.81, SD = 11.89). All participants reported at baseline that they were exercising, on average, 3.93 days (SD = 1.36) per week. The exploratory structural equation modeling (ESEM) displayed the best fit. The ESEM did show invariance when tested for multigroup analysis. The conclusion of this research is that the ESEM demonstrated the best fit, displaying invariance in multigroup analysis. Furthermore, when assessing preference and tolerance in various exercise modalities, the PRETIE-Q should be primarily used as a multidimensional instrument due to the differential recognition of preference and tolerance in seemingly similar physical activity circumstances, highlighting the importance of employing context-verified measures to evaluate exercise-intensity preference and tolerance based on sample characteristics or real-time context.
Published: 2023

10. Supplementary materials An alternative exploitation of Synechocystis sp. PCC6803: a cascade approach for the recovery of high added-value products

Author: Imbimbo, Paola, D’Elia, Luigi, Corrado, Iolanda, Álvarez-Rivera, Gerardo, Marzocchella, Antonio, Ibáñez, Elena, Pezzella, Cinzia, Santos, Filipe Branco dos, Monti, Daria Maria, Imbimbo, Paola, D’Elia, Luigi, Corrado, Iolanda, Álvarez-Rivera, Gerardo, Marzocchella, Antonio, Ibáñez, Elena, Pezzella, Cinzia, Santos, Filipe Branco dos, and Monti, Daria Maria
Published: 2023

11. 3D tomatoes' localisation with monocular cameras using histogram filters

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

12. VALORISATION OF FIREWOOD ASH WASTE FOR FIRED CLAY CERAMICS PRODUCTION

Author: Santos, Filipe, Bagli Siqueira, Fabrício, Nilson França Holanda, José, Santos, Filipe, Bagli Siqueira, Fabrício, and Nilson França Holanda, José
Abstract: The objective of this work was to investigate the valorisation of firewood ash waste as an alternative raw material for clay ceramic production, through replacement of industrial plastic clay up to 20 wt.%. For this purpose, clay ceramic pieces were produced by uniaxial pressing and fired at temperatures ranging from 800 °C to 1100 °C. The technical properties of the fired clay ceramic pieces have been determined. It was found that the technical properties of the clay ceramic pieces depend on the firewood ash waste amount and firing temperature. The fired pieces incorporated with up to 20 wt.% of firewood ash waste showed a water absorption level of 9.90 to 16.62 % and flexural strength of 4.12 to 12.02 MPa, indicating their conformity for clay ceramic production (bricks and roofing tiles). Obtained results confirmed the feasibility of valorisation of firewood ash waste in the production of fired clay ceramics.
Published: 2022

13. IPCC emission scenarios: How did critiques affect their quality and relevance 1990–2022?

Author: Environmental Sciences, Pedersen, Jiesper Tristan Strandsbjerg, van Vuuren, Detlef, Gupta, Joyeeta, Santos, Filipe Duarte, Edmonds, Jae, Swart, Rob, Environmental Sciences, Pedersen, Jiesper Tristan Strandsbjerg, van Vuuren, Detlef, Gupta, Joyeeta, Santos, Filipe Duarte, Edmonds, Jae, and Swart, Rob
Published: 2022

14. 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, Dias, Jorge, Magalhães, Sandro Costa, Santos, Filipe Neves, Machado, Pedro, Moreira, António Paulo, and Dias, Jorge
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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15. EASAC policy report 44: Regenerative agriculture in Europe: A critical analysis of contributors to European Union Farm to Fork and Biodiversity Strategies

Author: Elmqvist, Thomas, Valkó, Orsolya, Walloe, Lars, Smagghe, Guy, Van Montagu, Marc, Mihailova, Mihaela, Yovchevska, Plamena, Basic, Ferdo, Prach, Karel, Baldassarre Svecova, Eva, Helenius, Juha, Peltonen-Sainio, Pirjo, Öpik, Maarja, Niinemets, Ülo, Takkis, Krista, Delseny, Michel, Karamanos, Andreas, Lengyel, Szabolcs, Morgante, Michele, Kadziuliene, Zydre, Veen, G.F., Ram Singh, Bal, Tryjanowski, Piotr, Duarte Santos, Filipe, Janisova, Monika, Bengtsson, Jan, Boivin, Pascal, Hartley, Sue, Elmqvist, Thomas, Valkó, Orsolya, Walloe, Lars, Smagghe, Guy, Van Montagu, Marc, Mihailova, Mihaela, Yovchevska, Plamena, Basic, Ferdo, Prach, Karel, Baldassarre Svecova, Eva, Helenius, Juha, Peltonen-Sainio, Pirjo, Öpik, Maarja, Niinemets, Ülo, Takkis, Krista, Delseny, Michel, Karamanos, Andreas, Lengyel, Szabolcs, Morgante, Michele, Kadziuliene, Zydre, Veen, G.F., Ram Singh, Bal, Tryjanowski, Piotr, Duarte Santos, Filipe, Janisova, Monika, Bengtsson, Jan, Boivin, Pascal, and Hartley, Sue
Published: 2022

16. IPCC emission scenarios : How did critiques affect their quality and relevance 1990–2022?

Author: Pedersen, Jiesper Tristan Strandsbjerg, van Vuuren, Detlef, Gupta, Joyeeta, Santos, Filipe Duarte, Edmonds, Jae, Swart, Rob, Pedersen, Jiesper Tristan Strandsbjerg, van Vuuren, Detlef, Gupta, Joyeeta, Santos, Filipe Duarte, Edmonds, Jae, and Swart, Rob
Abstract: Long-term global emission scenarios enable the analysis of future climate change, impacts, and response strategies by providing insight into possible future developments and linking these different climate research elements. Such scenarios play a crucial role in the climate change literature informing the Intergovernmental Panel on Climate Change's (IPCC) Assessment Reports (ARs) and support policymakers. This article reviews the evolution of emission scenarios, since 1990, by focusing on scenario critiques and responses as published in the literature. We focus on the issues raised in the critiques and the possible impact on scenario development. The critique (280) focuses on four areas: 1) key scenario assumptions (40%), 2) the emissions range covered by the scenarios and missing scenarios (25%), 3) methodological issues (24%), and 4) the policy relevance and handling of uncertainty (11%). Scenario critiques have become increasingly influential since 2000. Some areas of critique have decreased or become less prominent (probability, development process, convergence assumptions, and economic metrics). Other areas have become more dominant over time (e.g., policy relevance & implications of scenarios, transparency, Negative Emissions Technologies (NETs) assumptions, missing scenarios). Several changes have been made in developing scenarios and their content that respond to the critique.
Published: 2022

17. Organisational Challenges for the University.

Author: Santos, Filipe, Heitor, Manuel V., and Caraca, Joao
Abstract: Discusses the most suitable organizational model for the university, considering its unique role and needs, and the challenges currently faced in a knowledge-oriented society. Suggests that the university's academic organization become more organic and adapt to the different organizational requirements of the two central university activities, research and teaching, with departmental structures taking a new organizational form. (Author/MSE)
Published: 1998

18. An assessment of the performance of scenarios against historical global emissions for IPCC reports

Author: Environmental Sciences, Strandsbjerg Tristan Pedersen, Jiesper, Duarte Santos, Filipe, van Vuuren, Detlef, Gupta, Joyeeta, Encarnação Coelho, Ricardo, Aparício, Bruno A., Swart, Rob, Environmental Sciences, Strandsbjerg Tristan Pedersen, Jiesper, Duarte Santos, Filipe, van Vuuren, Detlef, Gupta, Joyeeta, Encarnação Coelho, Ricardo, Aparício, Bruno A., and Swart, Rob
Published: 2021

19. Cycling between growth and production phases increases cyanobacteria bioproduction of lactate

Author: Shabestary, Kiyan, Hernandez, Hugo Pineda, Miao, Rui, Ljungqvist, Emil E., Hallman, Olivia, Sporre, Emil, dos Santos, Filipe Branco, Hudson, Elton P., Shabestary, Kiyan, Hernandez, Hugo Pineda, Miao, Rui, Ljungqvist, Emil E., Hallman, Olivia, Sporre, Emil, dos Santos, Filipe Branco, and Hudson, Elton P.
Abstract: Decoupling growth from product synthesis is a promising strategy to increase carbon partitioning and maximize productivity in cell factories. However, reduction in both substrate uptake rate and metabolic activity in the production phase are an underlying problem for upscaling. Here, we used CRISPR interference to repress growth in lactate-producing Synechocystis sp. PCC 6803. Carbon partitioning to lactate in the production phase exceeded 90%, but CO2 uptake was severely reduced compared to uptake during the growth phase. We characterized strains during the onset of growth arrest using transcriptomics and proteomics. Multiple genes involved in ATP homeostasis were regulated once growth was inhibited, which suggests an alteration of energy charge that may lead to reduced substrate uptake. In order to overcome the reduced metabolic activity and take advantage of increased carbon partitioning, we tested a novel production strategy that involved alternating growth arrest and recovery by periodic addition of an inducer molecule to activate CRISPRi. Using this strategy, we maintained lactate biosynthesis in Synechocystis for 30 days in a constant light turbidostat cultivation. Cumulative lactate titers were also increased by 100% compared to a constant growth-arrest regime, and reached 1 g/L. Further, the cultivation produced lactate for 30 days, compared to 20 days for the non-growth arrest cultivation. Periodic growth arrest could be applicable for other products, and in cyanobacteria, could be linked to internal circadian rhythms that persist in constant light., QC 20211101
Published: 2021
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20. Grape bunch detection at different growth stages using deep learning quantized models

Author: Aguiar, André Silva, Magalhães, Sandro Augusto, Dos Santos, Filipe Neves, Castro, Luis, Pinho, Tatiana, Valente, João, Martins, Rui, Boaventura-Cunha, José, Aguiar, André Silva, Magalhães, Sandro Augusto, Dos Santos, Filipe Neves, Castro, Luis, Pinho, Tatiana, Valente, João, Martins, Rui, and Boaventura-Cunha, José
Abstract: The agricultural sector plays a fundamental role in our society, where it is increasingly important to automate processes, which can generate beneficial impacts in the productivity and quality of products. Perception and computer vision approaches can be fundamental in the implementation of robotics in agriculture. In particular, deep learning can be used for image classification or object detection, endowing machines with the capability to perform operations in the agriculture context. In this work, deep learning was used for the detection of grape bunches in vineyards considering different growth stages: the early stage just after the bloom and the medium stage where the grape bunches present an intermediate development. Two state-of-the-art single-shot multibox models were trained, quantized, and deployed in a low-cost and low-power hardware device, a Tensor Processing Unit. The training input was a novel and publicly available dataset proposed in this work. This dataset contains 1929 images and respective annotations of grape bunches at two different growth stages, captured by different cameras in several illumination conditions. The models were benchmarked and characterized considering the variation of two different parameters: the confidence score and the intersection over union threshold. The results showed that the deployed models could detect grape bunches in images with a medium average precision up to 66.96%. Since this approach uses low resources, a low-cost and low-power hardware device that requires simplified models with 8 bit quantization, the obtained performance was satisfactory. Experiments also demonstrated that the models performed better in identifying grape bunches at the medium growth stage, in comparison with grape bunches present in the vineyard after the bloom, since the second class represents smaller grape bunches, with a color and texture more similar to the surrounding foliage, which complicates their detection.
Published: 2021

21. 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, Moreira, António P., Magalhães, Sandro A., Castro, Luís, Moreira, Germano, Santos, Filipe N., Cunha, mário, Dias, Jorge, and Moreira, António P.
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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22. Author Correction: Variability in historical emissions trends suggests a need for a wide range of global scenarios and regional analyses (Communications Earth & Environment, (2020), 1, 1, (41), 10.1038/s43247-020-00045-y)

Author: Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, Santos, Filipe Duarte, Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, and Santos, Filipe Duarte
Published: 2020

23. Variability in historical emissions trends suggests a need for a wide range of global scenarios and regional analyses

Author: Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, Santos, Filipe Duarte, Environmental Sciences, Pedersen, Jiesper Strandsbjerg Tristan, van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, and Santos, Filipe Duarte
Published: 2020

24. Influência da operação de roleteamento sobre a integridade superficial do aço abnt 1020 = Influence of deep rolling on the surface integrity of aisi 1020 steel

Author: Santos, Filipe Figueiredo dos, Silva, Sandro da Costa, Abrão, Alexandre Mendes, Denkena, Berend, Breidenstein, Bernd, Meyer, Kolja, Santos, Filipe Figueiredo dos, Silva, Sandro da Costa, Abrão, Alexandre Mendes, Denkena, Berend, Breidenstein, Bernd, and Meyer, Kolja
Abstract: Surface integrity refers to a set of characteristics of the surface and subsurface layer that have great influence on the functional performance of mechanical components under conditions of wear, corrosion and fatigue, and is determined by the manufacturing processes employed. Thus, surface treatments are used to generate a surface integrity suited to the desired function. Deep rolling is one of the surface treatments that involve cold working of the surface and subsurface layer. This work addresses the influence of some deep rolling parameters (pressure, speed, feed and number of passes) on the surface integrity (roughness, surface and subsurface microhardness and microstructure) of AISI 1020 low carbon steel. A significant improvement on surface finish was observed after deep rolling, however, the excessive increase in pressure and in feed caused an increase in roughness. Regarding the surface microhardness, it was reduced or remained stable after deep roll-ing. In addition, under all conditions tested deep rolling promoted an increase in the microhardness of the subsurface layer and in the affected depth in comparison to the specimen only turned. However, an elevation in pressure further increased the subsurface microhardness and the affected depth and the subsurface micro-hardness increased slightly with higher feeds and reduced with increasing number of passes, along with the affected depth. Finally, the microstructural analysis showed that deformation increased with pressure and number of passes and reduced with the elevation of speed and feed. © 2020, Universidade Federal do Rio de Janeiro. All rights reserved., A integridade superficial corresponde a um conjunto de características da superfície e da camada subsuperficial que tem grande influência sobre o desempenho funcional de componentes mecânicos em condições de desgaste, corrosão e fadiga, e é determinada pelos processos de fabricação empregados. Assim, tratamentos superficiais são utilizados para a geração de uma integridade superficial adequada à função desejada. O roleteamento é um dos tratamentos superficiais que atuam por deformação plástica a frio da superfície e da camada subsuperficial. Neste trabalho avaliou-se a influência de alguns parâmetros de roleteamento (pressão, velocidade, avanço e número de passes) sobre determinadas características da integridade superficial (rugosidade, microdureza superficial e subsuperficial e microestrutura) do aço-carbono ABNT 1020. Observou-se uma melhora significativa do acabamento após o roleteamento, porém a elevação excessiva da pressão e do avanço causou um aumento da rugosidade. Em relação à microdureza da superfície, após o roleteamento ocorreu apenas sua manutenção ou redução. Além disso, em todas as condições avaliadas o roleteamento promoveu um aumento da microdureza subsuperficial e da profundidade afetada em relação aos observados no corpo de prova apenas torneado. Entretanto, a elevação da pressão aumentou ainda mais a microdureza subsuperficial e a profundidade afetada, o aumento do avanço elevou levemente a microdureza subsuperficial e o aumento do número de passes a reduziu, juntamente com a profundidade afetada. A análise microestrutural, por fim, mostrou uma elevação da deformação com o aumento da pressão e do número de passes e uma redução com o aumento da velocidade e do avanço.
Published: 2020

25. Author Correction: Variability in historical emissions trends suggests a need for a wide range of global scenarios and regional analyses

Author: Pedersen, Jiesper Strandsbjerg Tristan, van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, Santos, Filipe Duarte, Pedersen, Jiesper Strandsbjerg Tristan, van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, and Santos, Filipe Duarte
Abstract: The original version of this Article contained errors in the caption of Figs. 1 and 2 and in Fig. 2. In the caption of Figs. 1 and 2, the description of the colour codes incorrectly read ‘low (vermillion), medium–low (bluish-green), medium–high (orange), and high (blue) emissions’. The correct version replaces this description with ‘low (bluish-green), medium–low (blue), medium–high (orange), and high (vermillion)’. In Fig. 2, the label ‘RCP’ was misplaced and pointed at the ‘SSP-BL’ scenario estimates, and the label ‘SRES’ was misplaced and pointed at the ‘RCP’ scenario estimates (for the 2010 projections in Fig. 2a–c). In addition, not all scenario projections/estimates were labelled. These errors and omissions have been corrected in both the PDF and HTML versions of the Article.
Published: 2020

26. Variability in historical emissions trends suggests a need for a wide range of global scenarios and regional analyses

Author: Pedersen, Jiesper Strandsbjerg Tristan, Van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, Santos, Filipe Duarte, Pedersen, Jiesper Strandsbjerg Tristan, Van Vuuren, Detlef P., Aparício, Bruno A., Swart, Rob, Gupta, Joyeeta, and Santos, Filipe Duarte
Abstract: Long-term developments in carbon dioxide emissions have tracked the middle of projected emission scenario ranges over the past three decades. If this tendency continues, it seems increasingly less likely that future emissions will follow current high-emission scenarios. However, in the past, periods of slow and fast global emissions growth was observed, which have led to previous critiques of scenarios being too low or too high. In the light of such unpredictability and since scenarios are meant to explore plausible futures, we here argue that a broad range of emission scenarios continue to be considered input in scenario-based analyses of future climate change. Furthermore, we find substantial regional differences in emissions trends. Territorial emissions in OECD countries fall on the low side of emission scenario ranges, whereas non-OECD territorial emissions fell closer to the medium or high-end. Since non-OECD emissions will become increasingly important, we recommend further exploring the relationships between regional and global emissions to support scenario assumptions and climate policymaking.
Published: 2020

27. Combining retinal-based and chlorophyll-based (oxygenic) photosynthesis : Proteorhodopsin expression increases growth rate and fitness of a Delta PSI strain of Synechocystis sp. PCC6803

Author: Chen, Que, Arents, Jos, Schuurmans, J. Merijn, Ganapathy, Srividya, de Grip, Willem J., Cheregi, Otilia, Funk, Christiane, dos Santos, Filipe Branco, Hellingwerf, Klaas J., Chen, Que, Arents, Jos, Schuurmans, J. Merijn, Ganapathy, Srividya, de Grip, Willem J., Cheregi, Otilia, Funk, Christiane, dos Santos, Filipe Branco, and Hellingwerf, Klaas J.
Abstract: To fill the "green absorption gap", a green absorbing proteorhodopsin was expressed in a PSI-deletion strain (Delta PSI) of Synechocystis sp. PCC6803. Growth-rate measurements, competition experiments and physiological characterization of the proteorhodopsin-expressing strains, relative to the Delta PSI control strain, allow us to conclude that proteorhodopsin can enhance the rate of photoheterotrophic growth of Delta PSI Synechocystis strain. The physiological characterization included measurement of the amount of residual glucose in the spent medium and analysis of oxygen uptake- and production rates. To explore the use of solar radiation beyond the PAR region, a red-shifted variant Proteorhodopsin-D212N/F234S was expressed in a retinal-deficient PSI-deletion strain (Delta PSI/Delta SynACO). Via exogenous addition of retinal analogue an infrared absorbing pigment (maximally at 740 nm) was reconstituted in vivo. However, upon illumination with 746 nm light, it did not significantly stimulate the growth (rate) of this mutant. The inability of the proteorhodopsin-expressing Delta PSI strain to grow photoautotrophically is most likely due to a kinetic rather than a thermodynamic limitation of its NADPH-dehydrogenase in NADP(+)-reduction.
Published: 2019
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28. Functional Expression of Gloeobacter Rhodopsin in PSI-Less Synechocystis sp. PCC6803

Author: Chen, Que, Arents, Jos, Schuurmans, J. Merijn, Ganapathy, Srividya, de Grip, Willem J., Cheregi, Otilia, Funk, Christiane, dos Santos, Filipe Branco, Hellingwerf, Klaas J., Chen, Que, Arents, Jos, Schuurmans, J. Merijn, Ganapathy, Srividya, de Grip, Willem J., Cheregi, Otilia, Funk, Christiane, dos Santos, Filipe Branco, and Hellingwerf, Klaas J.
Abstract: The approach of providing an oxygenic photosynthetic organism with a cyclic electron transfer system, i.e., a far-red light-driven proton pump, is widely proposed to maximize photosynthetic efficiency via expanding the absorption spectrum of photosynthetically active radiation. As a first step in this approach, Gloeobacter rhodopsin was expressed in a PSI-deletion strain of Synechocystis sp. PCC6803. Functional expression of Gloeobacter rhodopsin, in contrast to Proteorhodopsin, did not stimulate the rate of photoheterotrophic growth of this Synechocystis strain, analyzed with growth rate measurements and competition experiments. Nevertheless, analysis of oxygen uptake and-production rates of the Gloeobacter rhodopsin-expressing strains, relative to the 1 PSI control strain, confirm that the proton-pumping Gloeobacter rhodopsin provides the cells with additional capacity to generate proton motive force. Significantly, expression of the Gloeobacter rhodopsin did modulate levels of pigment formation in the transgenic strain.
Published: 2019
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29. 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, Souza, Agnis Cristiane, de, 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, Colina, María Alicia, de la, 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, Oliveira Paschoal, Ana Maria, de, Costa, Ana Raíssa Cunha, Meiga, Ana Yoko Ykeuti, Jesus, Anamélia Souza, Feijó, Anderson, Hirsch, André, Silva, André Luiz Ferreira, da, 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, Albuquerque, Anna Carolina Figueiredo, de, Oliveira, Anne Karoline, de, Mangione, Antonio Marcelo, Pontes, Antonio Rossano Mendes, Bertoldi, Ariane Teixeira, Calouro, Armando Muniz, Desbiez, Arnaud L.J., Fernandes, Arthur, Ferreguetti, Atilla Colombo, Silva, Maria Augusta Andrade, da, Zimbres, Barbara, Luciano, Beatriz Fernandes Lima, Thoisy, Benoit, de, 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, Albuquerque França, Bruno Rodrigo, de, Lim, Burton, Oliveira, Caetano Troncoso, Cantagallo, Camila, Lara, Camila Clozato, Lima, Camila Silveira, Gestich, Carla Cristina, Melo-Soares, Carla Danielle, de, Peres, Carlos A., Kasper, Carlos Benhur, Candia-Gallardo, Carlos, Angelo, Carlos, De, Fragoso, Carlos Eduardo, Freitas, Carlos Henrique, de, 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, Santos, Cinthya Chiva, dos, Tellaeche, Cintia, Rosa, Clarissa, Campos, Claudia Bueno, de, Silva, Cláudia Regina, Kanda, Claudia Zukeran, Jenkins, Clinton N., McDonough, Colleen, Trinca, Cristiano Trapé, Cunha, Cristina Jaques, da, Widmer, Cynthia Elisa, Santos, Cyntia, Buscariol, Daiane, Carreira, Daiane Cristina, Carvalho, Danianderson Rodrigues, Silva Ferraz, Daniel, da, 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, Mattia, Denise Lidoro, de, 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, Abreu-Júnior, Edson Fiedler, de, Carrano, Eduardo, Santos, Eduardo Marques, Setz, Eleonore Zulnara Freire, Carvalho, Elildo Alves Ribeiro, Almeida Chiquito, Elisandra, de, Matos Cardoso, Elizandra, de, Mendonça, Eloisa Neves, Bastiani, Elvira, D', Vieira, Emerson M., Ramalho, Emiliano Esterci, Guijosa-Guadarrama, Emiliano, González, Enrique, Maggiorini, Erica Vanessa, Fischer, Erich, Aguiar, Erick Francisco, Castro, Érika Paula, Peña-Cuéllar, Erika, de la, Viveiros de Castro, Ernesto B., Brítez, Evelyn Beatriz, Vanderhoeven, Ezequiel Andres, Pedó, Ezequiel, Rocha, Fabiana Lopes, Girardi, Fabiane, Oliveira Roque, Fabio, de, Mazim, Fábio Dias, Barros, Fabio Monteiro, de, Martello, Felipe, Fantacini, Felipe Moreli, Pedrosa, Felipe, Peters, Felipe Bortolotto, Abra, Fernanda Delborgo, Azevedo, Fernanda Cavalcanti, de, Silva Santos, Fernanda, da, Silva, Fernanda Guedes, da, Teixeira, Fernanda Zimmermann, Perini, Fernando Araujo, Passos, Fernando C., Carvalho, Fernando, Azevedo, Fernando Cesar Cascelli, de, Pinho, Fernando Ferreira, de, 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, Silva, Franciane Almeida, da, Grotta-Neto, Francisco, Souza, Franco Leandro, de, 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, Torre, Antonio, de la, Zocche, Jairo José, Seibert, Jardel Brandão, Faria Falcão, Jéssica Caroline, de, 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, Toledo, José Julio, de, Duarte, José Maurício Barbanti, Matos, Jose Roberto, de, Arrabal, Juan Pablo, Faria Oshima, Júlia Emi, de, Ribeiro, Juliana Fernandes, Bogoni, Juliano André, Pacheco, Julio Javier Chacón, Schuchmann, Karl L., Ferraz, Katia M.P.M.B., Santos Everton, Laís, dos, Bailey, Larissa L., Gonçalves, Larissa Oliveira, Cullen, Laury, Andrade, Layla Reis, de, Trevelin, Leonardo Carreira, Bonjorne, Lilian, Almeida Rodrigues, Livia, de, 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, Assis Jardim, Márcia Maria, de, Oliveira, Márcio Leite, de, Tortato, Marcos Adriano, Dums, Marcos, Iezzi, Maria Eugenia, Pereira, Maria João Ramos, Jorge, Maria Luísa, Castro Morini, Maria Santina, de, Landis, Mariana Bueno, Xavier, Mariana Sampaio, Barros, Marília A.S., Silva, Marina Lima, da, Rivero, Marina, Zanin, Marina, Marques, Marinêz Isaac, Alves, Mario Henrique, Bitetti, Mario S., Di, Alvarez, Martín R., Graipel, Maurício Eduardo, Godoi, Mauricio Neves, Benedetti, Maximiliano Augusto, Beltrão, Mayara Guimarães, Monteiro, Miguel Coutinho Moretta, Paula, Milton José, de, Perilli, Miriam Lucia Lages, Silva, Murillo Prado, da, Villar, Nacho, Albuquerque, Natasha Moraes, De, Canassa, Nathália F., Filho, Newton Mota, Rosa Oliveira, Nicole, da, Pasqualotto, Nielson, Cáceres, Nilton Carlos, Attias, Nina, Favarini, Marina Ochoa, Ribeiro, Otávio Santi, Gonçalves, Pablo Rodrigues, Rocha, Patrício Adriano, da, Condé, Paula Alves, Akkawi, Paula, Cruz, Paula, Lira, Paula Koeler, Ferreira, Paula Modenesi, Arroyo-Gerala, Paulina, Hartmann, Paulo Afonso, Tarso Zuquim Antas, Paulo, de, Marinho, Paulo Henrique, Faria Peres, Pedro Henrique, de, Peña-Mondragón, Juan Luis, Lombardi, Pryscilla Moura, Souza Laurindo, Rafael, de, 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, Almeida Nobre, Rodrigo, de, Pérez, Rodrigo Raúl León, Massara, Rodrigo Lima, Paula, Rogério Cunha, de, 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, Cunha Tavares, Valéria, da, Quiroga, Verónica Andrea, Krepschi, Victor Gasperotto, Filho, Vilmar Picinatto, Galvão Bastazini, Vinícius Augusto, Oliveira Gasparotto, Vinicius Peron, de, Orsini, Vinicius Santana, Guedes Layme, Viviane Maria, Hannibal, Wellington, Dáttilo, Wesley, Carvalho, William Douglas, de, Loughry, William James, Blanco, Yamil Edgardo, Di, Núñez-Regueiro, Mauricio M., Giubbina, Marina Furlan, Passamani, Marcelo, Alagão Querido, Luciano Carramaschi, de, Costa Toledo, Gustavo Alvez, da, Ribeiro, Igor Kintopp, Quintilham, Lucas, Bustos, Soledad, de, Maza, Javier, de la, Lima Neto, Jorge Ferreira, Kossel de Andrade Silva, Katyucha, Von, 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, Cassia Bianchi, Rita, de, Keuroghlian-Eaton, Sean, Mendes, Sérgio Lucena, Fatima Cunha, Lerrane, de, Cirignoli, Sebastián, Ciocheti, Giordano, Prado, Helena Alves, do, Fernandes-Ferreira, Hugo, Mendes de Sena, Liana Mara, Yamane, Marcelo Hideki, Brennand, Pamella G.G., Silva, Rayana Diniz, da, 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, Miranda Mourão, Guilherme, de, Gaspari, Gustavo Gabirele, Duarte, Herbert, Cabral, Hugo, Silva, Leonardo Henrique, da, Mendonça, Luana, Barbosa, Lucas Lobo, Santos, Manuela Vieira, dos, 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, Cunha, Rogério Grassetto Teixeira, da, Schaub, Roxane, Laurito, Sabrina, Betkowski, Samuel Eurich, Cortez, Sara, Silva, Shirley Seixas Pereira, Oliveira, Tadeu Gomes, de, Spironello, Wilson Roberto, Gengler, Nicholas, Hidalgo, Mircea Mihart, Juárez, Rugieri, Iglesias, Jesús A., Anacleto, Teresa Cristina, Souza Fialho, Marcos, de, Cavicchioli, Guilherme, Beccato, Maria Angélica Barbosa, Silva, Marcelo, da, 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, Oliveira, Luiz Flamarion Barbosa, de, 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, Cruz, Yaribeth Bravata, de la, Castro-Prieto, Jessica, Braga, Ricardo Miranda, Cartes, Jose Luis, Andrade-Núñez, María José, Denkiewicz, Natalia Mariana, Falconi, Nereyda, Pezzuti, Juarez Carlos Brito, Castillo Cordero, Hugo Fernando, del, Sousa, Luziene Conceição, de, Gaspari Júnior, Roque Lázaro, de, Santos-Filho, Manoel, Almeida, Josué Santos, Thompson, Jeffrey J., Santos, Juliana Silveira, dos, Pereira-Ribeiro, Juliane, Burs, Kathrin, Silva, Kena Ferrari Moreira, da, Velilla, Marianela, Silva, Marina Xavier, da, Sancha, Noé U., de la, Pinheiro, Paula Fabiana, Castilho, Pedro Volkmer, de, Bercê, William, Assis, Julia Camara, Tonetti, Vinicius Rodrigues, Alves-Eigenheer, Milene, Chinem, Simonne, Honda, Laura K., Godoy Bergallo, Helena, de, Alberici, Vinicius, Wallace, Robert, Campos Krauer, Juan Manuel, Ribeiro, Milton Cezar, Galetti, Mauro, Santos, Paloma Marques, Bocchiglieri, Adriana, Chiarello, Adriano Garcia, Paglia, Adriano Pereira, Moreira, Adryelle, Souza, Agnis Cristiane, de, 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, Colina, María Alicia, de la, 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, Oliveira Paschoal, Ana Maria, de, Costa, Ana Raíssa Cunha, Meiga, Ana Yoko Ykeuti, Jesus, Anamélia Souza, Feijó, Anderson, Hirsch, André, Silva, André Luiz Ferreira, da, 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, Albuquerque, Anna Carolina Figueiredo, de, Oliveira, Anne Karoline, de, Mangione, Antonio Marcelo, Pontes, Antonio Rossano Mendes, Bertoldi, Ariane Teixeira, Calouro, Armando Muniz, Desbiez, Arnaud L.J., Fernandes, Arthur, Ferreguetti, Atilla Colombo, Silva, Maria Augusta Andrade, da, Zimbres, Barbara, Luciano, Beatriz Fernandes Lima, Thoisy, Benoit, de, 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, Albuquerque França, Bruno Rodrigo, de, Lim, Burton, Oliveira, Caetano Troncoso, Cantagallo, Camila, Lara, Camila Clozato, Lima, Camila Silveira, Gestich, Carla Cristina, Melo-Soares, Carla Danielle, de, Peres, Carlos A., Kasper, Carlos Benhur, Candia-Gallardo, Carlos, Angelo, Carlos, De, Fragoso, Carlos Eduardo, Freitas, Carlos Henrique, de, 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, Santos, Cinthya Chiva, dos, Tellaeche, Cintia, Rosa, Clarissa, Campos, Claudia Bueno, de, Silva, Cláudia Regina, Kanda, Claudia Zukeran, Jenkins, Clinton N., McDonough, Colleen, Trinca, Cristiano Trapé, Cunha, Cristina Jaques, da, Widmer, Cynthia Elisa, Santos, Cyntia, Buscariol, Daiane, Carreira, Daiane Cristina, Carvalho, Danianderson Rodrigues, Silva Ferraz, Daniel, da, 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, Mattia, Denise Lidoro, de, 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, Abreu-Júnior, Edson Fiedler, de, Carrano, Eduardo, Santos, Eduardo Marques, Setz, Eleonore Zulnara Freire, Carvalho, Elildo Alves Ribeiro, Almeida Chiquito, Elisandra, de, Matos Cardoso, Elizandra, de, Mendonça, Eloisa Neves, Bastiani, Elvira, D', Vieira, Emerson M., Ramalho, Emiliano Esterci, Guijosa-Guadarrama, Emiliano, González, Enrique, Maggiorini, Erica Vanessa, Fischer, Erich, Aguiar, Erick Francisco, Castro, Érika Paula, Peña-Cuéllar, Erika, de la, Viveiros de Castro, Ernesto B., Brítez, Evelyn Beatriz, Vanderhoeven, Ezequiel Andres, Pedó, Ezequiel, Rocha, Fabiana Lopes, Girardi, Fabiane, Oliveira Roque, Fabio, de, Mazim, Fábio Dias, Barros, Fabio Monteiro, de, Martello, Felipe, Fantacini, Felipe Moreli, Pedrosa, Felipe, Peters, Felipe Bortolotto, Abra, Fernanda Delborgo, Azevedo, Fernanda Cavalcanti, de, Silva Santos, Fernanda, da, Silva, Fernanda Guedes, da, Teixeira, Fernanda Zimmermann, Perini, Fernando Araujo, Passos, Fernando C., Carvalho, Fernando, Azevedo, Fernando Cesar Cascelli, de, Pinho, Fernando Ferreira, de, 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, Silva, Franciane Almeida, da, Grotta-Neto, Francisco, Souza, Franco Leandro, de, 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, Torre, Antonio, de la, Zocche, Jairo José, Seibert, Jardel Brandão, Faria Falcão, Jéssica Caroline, de, 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, Toledo, José Julio, de, Duarte, José Maurício Barbanti, Matos, Jose Roberto, de, Arrabal, Juan Pablo, Faria Oshima, Júlia Emi, de, Ribeiro, Juliana Fernandes, Bogoni, Juliano André, Pacheco, Julio Javier Chacón, Schuchmann, Karl L., Ferraz, Katia M.P.M.B., Santos Everton, Laís, dos, Bailey, Larissa L., Gonçalves, Larissa Oliveira, Cullen, Laury, Andrade, Layla Reis, de, Trevelin, Leonardo Carreira, Bonjorne, Lilian, Almeida Rodrigues, Livia, de, 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, Assis Jardim, Márcia Maria, de, Oliveira, Márcio Leite, de, Tortato, Marcos Adriano, Dums, Marcos, Iezzi, Maria Eugenia, Pereira, Maria João Ramos, Jorge, Maria Luísa, Castro Morini, Maria Santina, de, Landis, Mariana Bueno, Xavier, Mariana Sampaio, Barros, Marília A.S., Silva, Marina Lima, da, Rivero, Marina, Zanin, Marina, Marques, Marinêz Isaac, Alves, Mario Henrique, Bitetti, Mario S., Di, Alvarez, Martín R., Graipel, Maurício Eduardo, Godoi, Mauricio Neves, Benedetti, Maximiliano Augusto, Beltrão, Mayara Guimarães, Monteiro, Miguel Coutinho Moretta, Paula, Milton José, de, Perilli, Miriam Lucia Lages, Silva, Murillo Prado, da, Villar, Nacho, Albuquerque, Natasha Moraes, De, Canassa, Nathália F., Filho, Newton Mota, Rosa Oliveira, Nicole, da, Pasqualotto, Nielson, Cáceres, Nilton Carlos, Attias, Nina, Favarini, Marina Ochoa, Ribeiro, Otávio Santi, Gonçalves, Pablo Rodrigues, Rocha, Patrício Adriano, da, Condé, Paula Alves, Akkawi, Paula, Cruz, Paula, Lira, Paula Koeler, Ferreira, Paula Modenesi, Arroyo-Gerala, Paulina, Hartmann, Paulo Afonso, Tarso Zuquim Antas, Paulo, de, Marinho, Paulo Henrique, Faria Peres, Pedro Henrique, de, Peña-Mondragón, Juan Luis, Lombardi, Pryscilla Moura, Souza Laurindo, Rafael, de, 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, Almeida Nobre, Rodrigo, de, Pérez, Rodrigo Raúl León, Massara, Rodrigo Lima, Paula, Rogério Cunha, de, 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, Cunha Tavares, Valéria, da, Quiroga, Verónica Andrea, Krepschi, Victor Gasperotto, Filho, Vilmar Picinatto, Galvão Bastazini, Vinícius Augusto, Oliveira Gasparotto, Vinicius Peron, de, Orsini, Vinicius Santana, Guedes Layme, Viviane Maria, Hannibal, Wellington, Dáttilo, Wesley, Carvalho, William Douglas, de, Loughry, William James, Blanco, Yamil Edgardo, Di, Núñez-Regueiro, Mauricio M., Giubbina, Marina Furlan, Passamani, Marcelo, Alagão Querido, Luciano Carramaschi, de, Costa Toledo, Gustavo Alvez, da, Ribeiro, Igor Kintopp, Quintilham, Lucas, Bustos, Soledad, de, Maza, Javier, de la, Lima Neto, Jorge Ferreira, Kossel de Andrade Silva, Katyucha, Von, 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, Cassia Bianchi, Rita, de, Keuroghlian-Eaton, Sean, Mendes, Sérgio Lucena, Fatima Cunha, Lerrane, de, Cirignoli, Sebastián, Ciocheti, Giordano, Prado, Helena Alves, do, Fernandes-Ferreira, Hugo, Mendes de Sena, Liana Mara, Yamane, Marcelo Hideki, Brennand, Pamella G.G., Silva, Rayana Diniz, da, 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, Miranda Mourão, Guilherme, de, Gaspari, Gustavo Gabirele, Duarte, Herbert, Cabral, Hugo, Silva, Leonardo Henrique, da, Mendonça, Luana, Barbosa, Lucas Lobo, Santos, Manuela Vieira, dos, 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, Cunha, Rogério Grassetto Teixeira, da, Schaub, Roxane, Laurito, Sabrina, Betkowski, Samuel Eurich, Cortez, Sara, Silva, Shirley Seixas Pereira, Oliveira, Tadeu Gomes, de, Spironello, Wilson Roberto, Gengler, Nicholas, Hidalgo, Mircea Mihart, Juárez, Rugieri, Iglesias, Jesús A., Anacleto, Teresa Cristina, Souza Fialho, Marcos, de, Cavicchioli, Guilherme, Beccato, Maria Angélica Barbosa, Silva, Marcelo, da, 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, Oliveira, Luiz Flamarion Barbosa, de, 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, Cruz, Yaribeth Bravata, de la, Castro-Prieto, Jessica, Braga, Ricardo Miranda, Cartes, Jose Luis, Andrade-Núñez, María José, Denkiewicz, Natalia Mariana, Falconi, Nereyda, Pezzuti, Juarez Carlos Brito, Castillo Cordero, Hugo Fernando, del, Sousa, Luziene Conceição, de, Gaspari Júnior, Roque Lázaro, de, Santos-Filho, Manoel, Almeida, Josué Santos, Thompson, Jeffrey J., Santos, Juliana Silveira, dos, Pereira-Ribeiro, Juliane, Burs, Kathrin, Silva, Kena Ferrari Moreira, da, Velilla, Marianela, Silva, Marina Xavier, da, Sancha, Noé U., de la, Pinheiro, Paula Fabiana, Castilho, Pedro Volkmer, de, Bercê, William, Assis, Julia Camara, Tonetti, Vinicius Rodrigues, Alves-Eigenheer, Milene, Chinem, Simonne, Honda, Laura K., Godoy Bergallo, Helena, de, Alberici, Vinicius, Wallace, Robert, Campos Krauer, Juan Manuel, Ribeiro, Milton Cezar, and Galetti, Mauro
Abstract: Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, h
Published: 2019

30. Adaption to glucose limitation is modulated by the pleotropic regulator CcpA, independent of selection pressure strength

Author: Price, Claire E. (author), Branco Dos Santos, Filipe (author), Hesseling, Anne (author), Uusitalo, Jaakko J. (author), Bachmann, Herwig (author), Benavente, Vera (author), Goel, A. (author), Berkhout, Jan (author), de Jong, A. (author), Price, Claire E. (author), Branco Dos Santos, Filipe (author), Hesseling, Anne (author), Uusitalo, Jaakko J. (author), Bachmann, Herwig (author), Benavente, Vera (author), Goel, A. (author), Berkhout, Jan (author), and de Jong, A. (author)
Abstract: Background: A central theme in (micro)biology is understanding the molecular basis of fitness i.e. which strategies are successful under which conditions; how do organisms implement such strategies at the molecular level; and which constraints shape the trade-offs between alternative strategies. Highly standardized microbial laboratory evolution experiments are ideally suited to approach these questions. For example, prolonged chemostats provide a constant environment in which the growth rate can be set, and the adaptive process of the organism to such environment can be subsequently characterized. Results: We performed parallel laboratory evolution of Lactococcus lactis in chemostats varying the quantitative value of the selective pressure by imposing two different growth rates. A mutation in one specific amino acid residue of the global transcriptional regulator of carbon metabolism, CcpA, was selected in all of the evolution experiments performed. We subsequently showed that this mutation confers predictable fitness improvements at other glucose-limited growth rates as well. In silico protein structural analysis of wild type and evolved CcpA, as well as biochemical and phenotypic assays, provided the underpinning molecular mechanisms that resulted in the specific reprogramming favored in constant environments. Conclusion: This study provides a comprehensive understanding of a case of microbial evolution and hints at the wide dynamic range that a single fitness-enhancing mutation may display. It demonstrates how the modulation of a pleiotropic regulator can be used by cells to improve one trait while simultaneously work around other limiting constraints, by fine-tuning the expression of a wide range of cellular processes., OLD BT/Cell Systems Engineering
Published: 2019
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31. A metabolic reconstruction of Lactobacillus reuteri JCM 1112 and analysis of its potential as a cell factory

Author: Kristjansdottir, Thordis, Bosma, Elleke Fenna, Branco Dos Santos, Filipe, Özdemir, Emre, Herrgård, Markus J., França, Lucas, Ferreira, Bruno, Toftgaard Nielsen, Alex, Gudmundsson, Steinn, Kristjansdottir, Thordis, Bosma, Elleke Fenna, Branco Dos Santos, Filipe, Özdemir, Emre, Herrgård, Markus J., França, Lucas, Ferreira, Bruno, Toftgaard Nielsen, Alex, and Gudmundsson, Steinn
Abstract: Background: Lactobacillus reuteri is a heterofermentative Lactic Acid Bacterium (LAB) that is commonly used for food fermentations and probiotic purposes. Due to its robust properties, it is also increasingly considered for use as a cell factory. It produces several industrially important compounds such as 1,3-propanediol and reuterin natively, but for cell factory purposes, developing improved strategies for engineering and fermentation optimization is crucial. Genome-scale metabolic models can be highly beneficial in guiding rational metabolic engineering. Reconstructing a reliable and a quantitatively accurate metabolic model requires extensive manual curation and incorporation of experimental data. Results: A genome-scale metabolic model of L. reuteri JCM 1112T was reconstructed and the resulting model, Lreuteri_530, was validated and tested with experimental data. Several knowledge gaps in the metabolism were identified and resolved during this process, including presence/absence of glycolytic genes. Flux distribution between the two glycolytic pathways, the phosphoketolase and Embden-Meyerhof-Parnas pathways, varies considerably between LAB species and strains. As these pathways result in different energy yields, it is important to include strain-specific utilization of these pathways in the model. We determined experimentally that the Embden-Meyerhof-Parnas pathway carried at most 7% of the total glycolytic flux. Predicted growth rates from Lreuteri_530 were in good agreement with experimentally determined values. To further validate the prediction accuracy of Lreuteri_530, the predicted effects of glycerol addition and adhE gene knock-out, which results in impaired ethanol production, were compared to in vivo data. Examination of both growth rates and uptake- and secretion rates of the main metabolites in central metabolism demonstrated that the model was able to accurately predict the experimentally observed effects. Lastly, the potential of L
Published: 2019

32. EyeLSD a Robust Approach for Eye Localization and State Detection

Author: Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, Bensaoula, Salah, Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, and Bensaoula, Salah
Abstract: Improving the safety of public roads and industrial factories requires more reliable and robust computer vision-based approaches for monitoring the eye state (open or closed) of human operators. Getting this information in real time when humans are driving cars or using hazardous machinery will help to prevent accidents and deaths. This paper proposes a new framework called EyeLSD to localize the eyes and detect their states without face detection step. For EyeLSD aims, two novel descriptors are proposed: enhanced Pyramidal Local Binary Pattern Histogram (ePLBPH) and Multi-Three-Patch LBP histogram (Multi-TPLBP). The performance of EyeLSD with ePLBPH and Multi-TPLBP is evaluated and compared against other approaches. For this evaluation three independent and public datasets were used: BioID, CAS-PEAL-R1 and ZJU datasets. The set EyeLSD, ePLBPH and Multi-TPLBP have a greater performance when compared against the state-of-the-art algorithms. The proposed approach is very stable under large range of eye appearances caused by expression, rotation, lighting, head pose, and occlusion.
Published: 2018

33. Spectrally decomposed dark-to-light transitions in a PSI-deficient mutant of Synechocystis sp. PCC 6803

Author: Acuña, Alonso M., van Alphen, Pascal, Branco dos Santos, Filipe, van Grondelle, Rienk, Hellingwerf, Klaas J., van Stokkum, Ivo H.M., Acuña, Alonso M., van Alphen, Pascal, Branco dos Santos, Filipe, van Grondelle, Rienk, Hellingwerf, Klaas J., and van Stokkum, Ivo H.M.
Abstract: Cyanobacterial thylakoid membranes are known to host photosynthetic and respiratory complexes. This hampers a straight forward interpretation of the highly dynamic fluorescence originating from photosynthetic units. The present study focuses on dark-to-light transitions in whole cells of a PSI-deficient mutant of the cyanobacterium Synechocystis sp. PCC 6803. The time-dependent cellular fluorescence spectrum has been measured, while having previously exposed the cells to different conditions that affect respiratory activity. The analysis method used allows the detected signal to be decomposed in a few components that are then assigned to functional emitting species. Additionally, we have worked out a minimal mathematical model consisting of sensible postulated species to interpret the recorded data. We conclude that the following two functional complexes play a major role: a phycobilisome antenna complex coupled to a PSII dimer with either two or no closed reaction centers. Crucially, we present evidence for an additional species capable of strongly quenching fluorescence, whose formation requires the presence of oxygen.
Published: 2018
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34. Crime, narrativa e DNA: os desafios da prova de DNA no processo inquisitorial

Author: Santos, Filipe and Santos, Filipe
Abstract: A prova de DNA vem conquistando um papel privilegiado na investigação criminal como forma de identificação. Assente numa sólida base científica e na expressão probabilística de resultados, a prova de DNA pode proporcionar um grau de fiabilidade e certeza acima de outros métodos de identificação forense. Porém, a exaltação de um imaginário mediático do DNA como a derradeira prova para condenar os verdadeiros culpados e ilibar os inocentes é passível de limitar a necessária prudência no uso destas tecnologias na investigação criminal, assumindo particulares desafios no processo inquisitorial. Recorrendo aos arquivos judiciais de casos criminais que ocorreram em Portugal e onde foram usadas tecnologias de DNA, são exploradas várias dimensões e desafios em torno da prova de DNA durante o inquérito criminal, o seu impacto na construção e desenvolvimento da narrativa criminal, e a sua preponderância na tomada de decisão judicial.
Published: 2017

35. Probing the genome-scale metabolic landscape of Bordetella pertussis, the causative agent of whooping cough

Author: dos Santos, Filipe Branco, Brette, Olivier, Boele, Joost, Smessaert, Vincent, De Rop, Philippe, Krumpochova, Petra, Klau, Gunnar G.W., Giera, Martin, Dehottay, Philippe, Teusink, Bas, Goffin, Philippe, dos Santos, Filipe Branco, Brette, Olivier, Boele, Joost, Smessaert, Vincent, De Rop, Philippe, Krumpochova, Petra, Klau, Gunnar G.W., Giera, Martin, Dehottay, Philippe, Teusink, Bas, and Goffin, Philippe
Abstract: Whooping cough is a highly contagious respiratory disease caused by Bordetella pertussis. Despite widespread vaccination, its incidence has been rising alarmingly, and yet, the physiology of B. pertussis remains poorly understood. We combined genome-scale metabolic reconstruction, a novel optimization algorithm, and experimental data to probe the full metabolic potential of this pathogen, using B. pertussis strain Tohama I as a reference. Experimental validation showed that B. pertussis secretes a significant proportion of nitrogen as arginine and purine nucleosides, which may contribute to modulation of the host response. We also found that B. pertussis can be unexpectedly versatile, being able to metabolize many compounds while displaying minimal nutrient requirements. It can grow without cysteine, using inorganic sulfur sources, such as thiosulfate, and it can grow on organic acids, such as citrate or lactate, as sole carbon sources, providing in vivo demonstration that its tricarboxylic acid (TCA) cycle is functional. Although the metabolic reconstruction of eight additional strains indicates that the structural genes underlying this metabolic flexibility are widespread, experimental validation suggests a role of strain-specific regulatory mechanisms in shaping metabolic capabilities. Among five alternative strains tested, three strains were shown to grow on substrate combinations requiring a functional TCA cycle, but only one strain could use thiosulfate. Finally, the metabolic model was used to rationally design growth media with > 2-fold improvements in pertussis toxin production. This study thus provides novel insights into B. pertussis physiology and highlights the potential, but also the limitations, of models based solely on metabolic gene content., SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2017

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

Author: Lehtipalo, Katrianne, 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, Kulmala, Markku, Lehtipalo, Katrianne, 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

37. EyeLHM: Real-Time Vision-Based approach for Eye Localization and Head Motion Estimation

Author: Cunha, Bernardo, Lima, José, Silva, Manuel, Leitão, Paulo, Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, Bensaoula, Salah, Cunha, Bernardo, Lima, José, Silva, Manuel, Leitão, Paulo, Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, and Bensaoula, Salah
Abstract: Humans are increasingly cooperating with machinery/robots in a high number of domains and under uncontrolled conditions. When persons are interacting with machinery, they are exposed to distraction/fatigue, which can lead to dangerous situations. The evaluation of individual's attention and fatigue levels is highly needed in such situations. This is an important measurement to avoid the interaction of humans with the machine when these levels of concentration are critical. This paper proposes a real-time vision-based approach for eye localization and head motion estimation (EyeLHM). The proposed method is evaluated under three different databases: GI4E face database, extended Yale-B database and GI4E head pose database. High detection rates are achieved on GI4E head-pose database and face database, 97:35% and 87:19% respectively. EyeLHM approach is optimized to be deployed in low-cost computers, such as RaspberryPi or UDOO Boards.
Published: 2016

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

Author: University of Helsinki, Department of Physics, University of Helsinki, Helsinki Institute of Physics, Lehtipalo, Katrianne, Rondo, Linda, Kontkanen, Jenni, Schobesberger, Siegfried, Jokinen, Tuija, Sarnela, Nina, Kuerten, Andreas, Ehrhart, Sebastian, Franchin, Alessandro, Nieminen, Tuomo, Riccobono, Francesco, Sipilä, Mikko, Yli-Juuti, Taina, Duplissy, Jonathan, Adamov, Alexey, Ahlm, Lars, Almeida, Joao, 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., Trostl, Jasmin, Tsagkogeorgas, Georgios, Tome, Antonio, 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., Kulmala, Markku, University of Helsinki, Department of Physics, University of Helsinki, Helsinki Institute of Physics, Lehtipalo, Katrianne, Rondo, Linda, Kontkanen, Jenni, Schobesberger, Siegfried, Jokinen, Tuija, Sarnela, Nina, Kuerten, Andreas, Ehrhart, Sebastian, Franchin, Alessandro, Nieminen, Tuomo, Riccobono, Francesco, Sipilä, Mikko, Yli-Juuti, Taina, Duplissy, Jonathan, Adamov, Alexey, Ahlm, Lars, Almeida, Joao, 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., Trostl, Jasmin, Tsagkogeorgas, Georgios, Tome, Antonio, 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

39. In-service education of science teachers: virtual simulators as a resource for experimental work

Author: Alexandre dos Reis, Susana, Santos, Filipe, Alexandre dos Reis, Susana, and Santos, Filipe
Abstract: This article presents a 50 hour course for in-‐service science teachers who wish to conduct experimental work with their students using the potentialities of the Information and Communication Technologies (ICT). This course was designed taking into consideration that several studies in Portugal have shown that in-‐service science teachers still have lots of difficulties in setting experimental work in a coherent pedagogical framework and also that teachers don’t know how to use ICT resources under a socio-‐constructivist learning approach. The course aims to help teachers on how to choose virtual simulators that are adequate to certain learning objectives and how to create learner-‐centred activities using these resources under the main pedagogical guidelines of experimental work., Este artículo presenta un curso de 50 horas para profesores de Ciencias en servicio que desean realizar trabajo experimental con los alumnos utilizando las potencialidades de las Tecnologías de la Información y Comunicación (TIC). Este curso fue sido diseñado teniendo en cuenta que varios estudios en Portugal han demostrado que profesores de Ciencias en servicio tienen dificultades en la creación de trabajo experimental en un modelo pedagógico coherente. Se ha evidenciado también que los docentes no saben utilizar los recursos digitales bajo un enfoque de aprendizaje socio-‐constructivista. El curso pretende ayudar a los profesores sobre como elegir simuladores virtuales que son adecuados para ciertos objetivos de aprendizaje y desarrollar actividades centradas en el alumno utilizando estos recursos bajo los principales lineamientos pedagógicos de lo trabajo experimental.
Published: 2016

40. Automatic Eye Localization; Multi-block LBP vs. Pyramidal LBP Three-Levels Image Decomposition for Eye Visual Appearance Description

Author: Paredes, Roberto, Cardoso, Jaime S., Pardo, Xosé M., Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, Bensaoula, Salah, Paredes, Roberto, Cardoso, Jaime S., Pardo, Xosé M., Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, and Bensaoula, Salah
Abstract: This manuscript presents the performance evaluation of our algorithm that precisely finds human eyes in still gray-scale images and describes the state of the founded eye. This algorithm has been evaluated considering two descriptors - Pyramid transform domain (PLBP) and Multi-Block Histogram LBP (BHLBP), which are extended versions of the Local Binary Pattern descriptor (LBP). For the classification stage, two types of supervised learning techniques have also been evaluated, Support Vector Machine (SVM) and Multilayer Perceptron (MLP). The proposed method is assessed on the Face Recognition Grand Challenge (BioID) and (CAS-PEAL-R1) databases, and experimental results demonstrate improved performance than some state-of-the-art eye detection approaches.
Published: 2015

41. Online Vision-Based Eye Detection: LBP/SVM vs LBP/LSTM-RNN

Author: Moreira, António Paulo, Matos, Aníbal, Veiga, Germano, Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, Bensaoula, Salah, Moreira, António Paulo, Matos, Aníbal, Veiga, Germano, Benrachou, Djamel Eddine, Dos Santos, Filipe Neves, Boulebtateche, Brahim, and Bensaoula, Salah
Abstract: Eye detection is a complex issue and widely explored through several applications, such as human gaze detection, human-robot interaction and driver’s drowsiness monitoring. However, most of these applications require an efficient approach for detect the ocular region, which should be able to work in real time. In this paper, it is proposed and compare two approaches for online eye detection. The proposed schemes, work under real variant illumination conditions, using the conventional appearance method that is known for its discriminative power especially in texture analysis. In the first stage, the salient eye features are automatically extracted by employing Uniform Local Binary pattern (LBP) operator. Thereafter, supervised machine learning methods are used to classify the presence of an eye in image path, which is described by an LBP histogram. For this stage, two approaches were tested; Support Vector Machine and Long Short-Term Memory Recurrent Neural Network, both are trained for discriminative binary classification, between two classes namely eye / non eye. The human eyes were successfully localized in real time videos, which were obtained from a laptop with uncalibrated web camera. In these tests, different people were considered and light illumination. The experimental results are reported.
Published: 2015

42. Molecular understanding of sulphuric acid-amine particle nucleation in the atmosphere

Author: Almeida, Joao, Schobesberger, Siegfried, Kuerten, Andreas, Ortega, Ismael K., Kupiainen-Maatta, Oona, Praplan, Arnaud P., Adamov, Alexey, Amorim, Antonio, Bianchi, Federico, Breitenlechner, Martin, David, Andre, Dommen, Josef, Donahue, Neil M., Downard, Andrew, Dunne, Eimear, Duplissy, Jonathan, Ehrhart, Sebastian, Flagan, Richard C., Franchin, Alessandro, Guida, Roberto, Hakala, Jani, Hansel, Armin, Heinritzi, Martin, Henschel, Henning, Jokinen, Tuija, Junninen, Heikki, Kajos, Maija, Kangasluoma, Juha, Keskinen, Helmi, Kupc, Agnieszka, Kurten, Theo, Kvashin, Alexander N., Laaksonen, Ari, Lehtipalo, Katrianne, Leiminger, Markus, Leppa, Johannes, Loukonen, Ville, Makhmutov, Vladimir, Mathot, Serge, McGrath, Matthew J., Nieminen, Tuomo, Olenius, Tinja, Onnela, Antti, Petaja, Tuukka, Riccobono, Francesco, Riipinen, Ilona, Rissanen, Matti, Rondo, Linda, Ruuskanen, Taina, Santos, Filipe D., Sarnela, Nina, Schallhart, Simon, Schnitzhofer, Ralf, Seinfeld, John H., Simon, Mario, Sipila, Mikko, Stozhkov, Yuri, Stratmann, Frank, Tome, Antonio, Troestl, Jasmin, Tsagkogeorgas, Georgios, Vaattovaara, Petri, Viisanen, Yrjo, Virtanen, Annele, Vrtala, Aron, Wagner, Paul E., Weingartner, Ernest, Wex, Heike, Williamson, Christina, Wimmer, Daniela, Ye, Penglin, Yli-Juuti, Taina, Carslaw, Kenneth S., Kulmala, Markku, Curtius, Joachim, Baltensperger, Urs, Worsnop, Douglas R., Vehkamaki, Hanna, Kirkby, Jasper, Almeida, Joao, Schobesberger, Siegfried, Kuerten, Andreas, Ortega, Ismael K., Kupiainen-Maatta, Oona, Praplan, Arnaud P., Adamov, Alexey, Amorim, Antonio, Bianchi, Federico, Breitenlechner, Martin, David, Andre, Dommen, Josef, Donahue, Neil M., Downard, Andrew, Dunne, Eimear, Duplissy, Jonathan, Ehrhart, Sebastian, Flagan, Richard C., Franchin, Alessandro, Guida, Roberto, Hakala, Jani, Hansel, Armin, Heinritzi, Martin, Henschel, Henning, Jokinen, Tuija, Junninen, Heikki, Kajos, Maija, Kangasluoma, Juha, Keskinen, Helmi, Kupc, Agnieszka, Kurten, Theo, Kvashin, Alexander N., Laaksonen, Ari, Lehtipalo, Katrianne, Leiminger, Markus, Leppa, Johannes, Loukonen, Ville, Makhmutov, Vladimir, Mathot, Serge, McGrath, Matthew J., Nieminen, Tuomo, Olenius, Tinja, Onnela, Antti, Petaja, Tuukka, Riccobono, Francesco, Riipinen, Ilona, Rissanen, Matti, Rondo, Linda, Ruuskanen, Taina, Santos, Filipe D., Sarnela, Nina, Schallhart, Simon, Schnitzhofer, Ralf, Seinfeld, John H., Simon, Mario, Sipila, Mikko, Stozhkov, Yuri, Stratmann, Frank, Tome, Antonio, Troestl, Jasmin, Tsagkogeorgas, Georgios, Vaattovaara, Petri, Viisanen, Yrjo, Virtanen, Annele, Vrtala, Aron, Wagner, Paul E., Weingartner, Ernest, Wex, Heike, Williamson, Christina, Wimmer, Daniela, Ye, Penglin, Yli-Juuti, Taina, Carslaw, Kenneth S., Kulmala, Markku, Curtius, Joachim, Baltensperger, Urs, Worsnop, Douglas R., Vehkamaki, Hanna, and Kirkby, Jasper
Abstract: Nucleation of aerosol particles from trace atmospheric vapours is thought to provide up to half of global cloud condensation nuclei(1). Aerosols can cause a net cooling of climate by scattering sunlight and by leading to smaller but more numerous cloud droplets, which makes clouds brighter and extends their lifetimes(2). Atmospheric aerosols derived from human activities are thought to have compensated for a large fraction of the warming caused by greenhouse gases(2). However, despite its importance for climate, atmospheric nucleation is poorly understood. Recently, it has been shown that sulphuric acid and ammonia cannot explain particle formation rates observed in the lower atmosphere(3). It is thought that amines may enhance nucleation(4-16), but until now there has been no direct evidence for amine ternary nucleation under atmospheric conditions. Here we use the CLOUD (Cosmics Leaving OUtdoor Droplets) chamber at CERN and find that dimethylamine above three parts per trillion by volume can enhance particle formation rates more than 1,000-fold compared with ammonia, sufficient to account for the particle formation rates observed in the atmosphere. Molecular analysis of the clusters reveals that the faster nucleation is explained by a base-stabilization mechanism involving acid-amine pairs, which strongly decrease evaporation. The ion-induced contribution is generally small, reflecting the high stability of sulphuric acid-dimethylamine clusters and indicating that galactic cosmic rays exert only a small influence on their formation, except at low overall formation rates. Our experimental measurements are well reproduced by a dynamical model based on quantum chemical calculations of binding energies of molecular clusters, without any fitted parameters. These results show that, in regions of the atmosphere near amine sources, both amines and sulphur dioxide should be considered when assessing the impact of anthropogenic activities on particle formation., AuthorCount:79
Published: 2013
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43. Confiabilidade do uso de medidas antropométricas auto-referidas para o diagnóstico do estado nutricional em gestantes

Author: Santos, Filipe Ribeiro Araujo, Valença Neto, Paulo da Fonseca, de Souza, Marcio Costa, Casotti, Cezar Augusto, Santos, Filipe Ribeiro Araujo, Valença Neto, Paulo da Fonseca, de Souza, Marcio Costa, and Casotti, Cezar Augusto
Published: 2013

44. Evolution of particle composition in CLOUD nucleation experiments

Author: Keskinen, Helmi, Virtanen, Annele, Joutsensaari, Jorma, Tsagkogeorgas, Georgios, Duplissy, Jonathan, Schobesberger, Siegfried, Gysel, Martin, Riccobono, Francesco, Slowik, Jay G., Bianchi, Federico, Yli-Juuti, Taina, Lehtipalo, Katrianne, Rondo, Linda, Breitenlechner, Martin, Kupc, Agnieszka, Almeida, Joao, Amorin, António, Dunne, Eimear M., Downward, Andrew J., Ehrhart, Sebastian, Franchin, Alessandro, Kajos, Maija K., Kirkby, Jasper, Kürten, Christoph Andreas, Nieminen, Tuomo, Makhmutov, Vladimir, Mathot, Serge, Miettinen, Pasi, Onnela, Antti, Petäjä, Tuukka, Praplan, Arnaud Patrick, Santos, Filipe Duarte, Schallhart, Simon, Sipilä, Mikko, Stozhkov, Yuri, Tomé, Antonio, Vaattovaara, Petri, Wimmer, Daniela, Prévôt, André Stephan Henry, Dommen, Josef, Donahue, Neil McPherson, Flagan, Richard C., Weingartner, Ernest, Viisanen, Yrjö, Riipinen, Ilona, Hansel, Armin, Curtius, Joachim, Kulmala, Markku, Worsnop, Douglas R., Baltensperger, Urs, Wex, Heike, Stratmann, Frank, Laaksonen, Ari, Keskinen, Helmi, Virtanen, Annele, Joutsensaari, Jorma, Tsagkogeorgas, Georgios, Duplissy, Jonathan, Schobesberger, Siegfried, Gysel, Martin, Riccobono, Francesco, Slowik, Jay G., Bianchi, Federico, Yli-Juuti, Taina, Lehtipalo, Katrianne, Rondo, Linda, Breitenlechner, Martin, Kupc, Agnieszka, Almeida, Joao, Amorin, António, Dunne, Eimear M., Downward, Andrew J., Ehrhart, Sebastian, Franchin, Alessandro, Kajos, Maija K., Kirkby, Jasper, Kürten, Christoph Andreas, Nieminen, Tuomo, Makhmutov, Vladimir, Mathot, Serge, Miettinen, Pasi, Onnela, Antti, Petäjä, Tuukka, Praplan, Arnaud Patrick, Santos, Filipe Duarte, Schallhart, Simon, Sipilä, Mikko, Stozhkov, Yuri, Tomé, Antonio, Vaattovaara, Petri, Wimmer, Daniela, Prévôt, André Stephan Henry, Dommen, Josef, Donahue, Neil McPherson, Flagan, Richard C., Weingartner, Ernest, Viisanen, Yrjö, Riipinen, Ilona, Hansel, Armin, Curtius, Joachim, Kulmala, Markku, Worsnop, Douglas R., Baltensperger, Urs, Wex, Heike, Stratmann, Frank, and Laaksonen, Ari
Abstract: Sulphuric acid, ammonia, amines, and oxidised organics play a crucial role in nanoparticle formation in the atmosphere. In this study, we investigate the composition of nucleated nanoparticles formed from these compounds in the CLOUD (Cosmics Leaving Outdoor Droplets) chamber experiments at CERN (Centre européen pour la recherche nucléaire). The investigation was carried out via analysis of the particle hygroscopicity, ethanol affinity, oxidation state, and ion composition. Hygroscopicity was studied by a hygroscopic tandem differential mobility analyser and a cloud condensation nuclei counter, ethanol affinity by an organic differential mobility analyser and particle oxidation level by a high-resolution time-of-flight aerosol mass spectrometer. The ion composition was studied by an atmospheric pressure interface time-of-flight mass spectrometer. The volume fraction of the organics in the particles during their growth from sizes of a few nanometers to tens of nanometers was derived from measured hygroscopicity assuming the Zdanovskii–Stokes–Robinson relationship, and compared to values gained from the spectrometers. The ZSR-relationship was also applied to obtain the measured ethanol affinities during the particle growth, which were used to derive the volume fractions of sulphuric acid and the other inorganics (e.g. ammonium salts). In the presence of sulphuric acid and ammonia, particles with a mobility diameter of 150 nm were chemically neutralised to ammonium sulphate. In the presence of oxidation products of pinanediol, the organic volume fraction of freshly nucleated particles increased from 0.4 to ~0.9, with an increase in diameter from 2 to 63 nm. Conversely, the sulphuric acid volume fraction decreased from 0.6 to 0.1 when the particle diameter increased from 2 to 50 nm. The results provide information on the composition of nucleated aerosol particles during their growth in the presence of various combinations of sulphuric acid, ammonia, dimethylamine and or
Published: 2013

45. The fortified settlement of Castelinho (Felgar, Torre de Moncorvo, Portugal). First Approach to its Diachrony and the Iron Age Engraved Stone Plaquettes

Author: Santos, Filipe, Sastre, José, Soares de Figueiredo, Sofía, Rocha, Fábio, Pinheiro, Eulália, Dias, Rodrigo, Santos, Filipe, Sastre, José, Soares de Figueiredo, Sofía, Rocha, Fábio, Pinheiro, Eulália, and Dias, Rodrigo
Abstract: In this text we present the results of the first archeological intervention in the Iron Age site of Castelinho. The uniquenessof the site, demonstrated by the presence of structures as well as an impressive assemblage of engraved stone plaquettes,has made the site difficult to characterize considering the regional context. The site, situated on a high point withcommanding view of the surrounding area and enclosed by a massive “defensive system” of ditches and walls, could beconsidered as a Hillfort (castro) in the classic sense of the word. After a year of archaeological work in this importantsite we will address here several hypotheses in connection to the diachronic evolution of the hillfort, and the exceptionalcollection of portable art unearthed., Se presentan los resultados de la excavación arqueológica llevada a cabo en el sitio fortificado de la Edad del Hierrode Castelinho. La excepcionalidad del lugar, representada por las estructuras que posee y el extraordinario conjunto deplaquetas de piedra con grabados recientemente descubierto, ha tornado difícil su caracterización dentro del conjuntode la Edad del Hierro. Por las particularidades que el sitio presenta, situado en altura y con un amplio dominio visual,dotado de un imponente “sistema defensivo” con fosos y murallas asociados, podría considerarse como un castro en elsentido clásico del término. Tras un año de trabajos en esta importante estación arqueológica transmontana, se ofrecenen este artículo las primeras hipótesis en relación a su evolución diacrónica y la colección excepcional de arte mueble.
Published: 2012

46. Evolution of particle composition in CLOUD nucleation experiments

Author: Keskinen, Helmi, Virtanen, Annele, Joutsensaari, Jorma, Tsagkogeorgas, Georgios, Duplissy, Jonathan, Schobesberger, Siegfried, Gysel, Martin, Riccobono, Francesco, Slowik, Jay G., Bianchi, Federico, Yli-Juuti, Taina, Lehtipalo, Katrianne, Rondo, Linda, Breitenlechner, Martin, Kupc, Agnieszka, Almeida, Joao, Amorin, António, Dunne, Eimear M., Downward, Andrew J., Ehrhart, Sebastian, Franchin, Alessandro, Kajos, Maija K., Kirkby, Jasper, Kürten, Christoph Andreas, Nieminen, Tuomo, Makhmutov, Vladimir, Mathot, Serge, Miettinen, Pasi, Onnela, Antti, Petäjä, Tuukka, Praplan, Arnaud Patrick, Santos, Filipe Duarte, Schallhart, Simon, Sipilä, Mikko, Stozhkov, Yuri, Tomé, Antonio, Vaattovaara, Petri, Wimmer, Daniela, Prévôt, André Stephan Henry, Dommen, Josef, Donahue, Neil McPherson, Flagan, Richard C., Weingartner, Ernest, Viisanen, Yrjö, Riipinen, Ilona, Hansel, Armin, Curtius, Joachim, Kulmala, Markku, Worsnop, Douglas R., Baltensperger, Urs, Wex, Heike, Stratmann, Frank, Laaksonen, Ari, Keskinen, Helmi, Virtanen, Annele, Joutsensaari, Jorma, Tsagkogeorgas, Georgios, Duplissy, Jonathan, Schobesberger, Siegfried, Gysel, Martin, Riccobono, Francesco, Slowik, Jay G., Bianchi, Federico, Yli-Juuti, Taina, Lehtipalo, Katrianne, Rondo, Linda, Breitenlechner, Martin, Kupc, Agnieszka, Almeida, Joao, Amorin, António, Dunne, Eimear M., Downward, Andrew J., Ehrhart, Sebastian, Franchin, Alessandro, Kajos, Maija K., Kirkby, Jasper, Kürten, Christoph Andreas, Nieminen, Tuomo, Makhmutov, Vladimir, Mathot, Serge, Miettinen, Pasi, Onnela, Antti, Petäjä, Tuukka, Praplan, Arnaud Patrick, Santos, Filipe Duarte, Schallhart, Simon, Sipilä, Mikko, Stozhkov, Yuri, Tomé, Antonio, Vaattovaara, Petri, Wimmer, Daniela, Prévôt, André Stephan Henry, Dommen, Josef, Donahue, Neil McPherson, Flagan, Richard C., Weingartner, Ernest, Viisanen, Yrjö, Riipinen, Ilona, Hansel, Armin, Curtius, Joachim, Kulmala, Markku, Worsnop, Douglas R., Baltensperger, Urs, Wex, Heike, Stratmann, Frank, and Laaksonen, Ari
Abstract: Sulphuric acid, ammonia, amines, and oxidised organics play a crucial role in nanoparticle formation in the atmosphere. In this study, we investigate the composition of nucleated nanoparticles formed from these compounds in the CLOUD chamber experiments at CERN. The investigation is carried out via analysis of the particle hygroscopicity, ethanol affinity, oxidation state, and ion composition. Hygroscopicity was studied by a hygroscopic tandem differential mobility analyser and a cloud condensation nuclei counter, ethanol affinity by an organic differential mobility analyser and particle oxidation level by a high-resolution time-of-flight aerosol mass spectrometer. The ion composition was studied by an atmospheric pressure interface time-of-flight mass spectrometer. The volume fraction of the organics in the particles during their growth from sizes of a few nanometers to tens of nanometers was derived from measured hygroscopicity assuming the Zdanovski-Stokes-Robinson relationship, and compared to values gained from the spectrometers. The ZSR-relationship was also applied to obtain the measured ethanol affinities during the particle growth, which were used to derive the volume fractions of sulphuric acid and the other inorganics (e.g. ammonium salts). In the presence of sulphuric acid and ammonia, particles with a mobility diameter of 150 nm were chemically neutralised to ammonium sulphate. In the presence of oxidation products of pinanediol, the organic volume fraction of freshly nucleated particles increased from 0.4 to ∼0.9, with an increase in diameter from 2 to 63 nm. Conversely, the sulphuric acid volume fraction decreased from 0.6 to 0.1 when the particle diameter increased from 2 to 50 nm. The results provide information on the composition of nucleated aerosol particles during their growth in the presence of various combinations of sulphuric acid, ammonia, dimethylamine and organic oxidation products.
Published: 2012

47. The diy smart experiences project

Author: Roelands, Marc, Plomp, Johan, Mansilla, Diego Casado, Velasco, Juan R, Salhi, Ismail, Lee, Gyu Myoung, Crespi, Noel, dos Santos, Filipe Vinci, Vachaudez, Julien, Bettens, Frédéric, Hanqc, Joel, Valderrama, Carlos, Menezes, Nilo, Girardi, Alexandre, Ricco, Xavier, Lopez-Ramos, Mario, Dumont, Nicolas, Corredor, Iván, Familiar, Miguel S, Martínez-Ortega, José-Fernán, Hernández, Vicente, De Roeck, Dries, van Nimwigen, Christof, Bastida, Leire, Escalante, Marisa, Alonso, Juncal, Reul, Quentin, Tang, Yan, Meersman, Robert, Roelands, Marc, Plomp, Johan, Mansilla, Diego Casado, Velasco, Juan R, Salhi, Ismail, Lee, Gyu Myoung, Crespi, Noel, dos Santos, Filipe Vinci, Vachaudez, Julien, Bettens, Frédéric, Hanqc, Joel, Valderrama, Carlos, Menezes, Nilo, Girardi, Alexandre, Ricco, Xavier, Lopez-Ramos, Mario, Dumont, Nicolas, Corredor, Iván, Familiar, Miguel S, Martínez-Ortega, José-Fernán, Hernández, Vicente, De Roeck, Dries, van Nimwigen, Christof, Bastida, Leire, Escalante, Marisa, Alonso, Juncal, Reul, Quentin, Tang, Yan, and Meersman, Robert
Published: 2011
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48. Population genetics analysis using R and the Geneland program

Author: Guillot, Gilles, Santos, Filipe, Estoup, Arnaud, Guillot, Gilles, Santos, Filipe, and Estoup, Arnaud
Abstract: Geneland program documentation 2011 Program distributed under GNU license as an R package on the Comprehensive R Archive Network.
Published: 2011

49. Employee training in Australia: evidence from AWIRS

Author: Almeida-Santos, Filipe, Mumford, Karen, Almeida-Santos, Filipe, and Mumford, Karen
Abstract: We use linked data for 13 991 employees and 1494 workplaces to analyse the incidence of employer-provided training in Australia. We find potential experience, current job tenure, low education levels, skilled vocational training and part-time or fixed-ter
Published: 2004

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