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1,195 results on '"Fernandes, F."'

1. On conceptualisation and an overview of learning path recommender systems in e-learning

Author

Fuster-López, A., Cruz, J. M., Guerrero-García, P., Hendrix, E. M. T., Košir, A., Nowak, I., Oneto, L., Sirmakessis, S., Pacheco, M. F., Fernandes, F. P., and Pereira, A. I.

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

The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ways to create a recommender system. They all aim at facilitating the learning and understanding of a student. We present a common concept of the learning path and its learning indicators and embed 5 different recommenders in this context.

Published
2024

2. The S-PLUS Fornax Project (S+FP): SExtractor detection and measurement of nearby galaxies in large photometric surveys

Author

Haack, R. F., Castelli, A. V. Smith, de Oliveira, C. Mendes, Almeida-Fernandes, F., Faifer, F. R., Lopes, A. R., Jaffe, Y., Demarco, R., Lima-Dias, C., Lomelí-Nuñez, L., Montaguth, G. P., Schoenell, W., Ribeiro, T., and Kanaan, A.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

All-sky multi-band photometric surveys represent a unique opportunity of exploring rich nearby galaxy clusters up to several virial radii, reaching the filament regions where pre-processing is expected to occur. These projects aim to tackle a large number of astrophysical topics, encompassing both the galactic and extragalactic fields. In that sense, generating large catalogues with homogeneous photometry for both resolved and unresolved sources that might be interesting to achieve specific goals, imposes a compromise when choosing the set of parameters to automatically detect and measure such a plethora of objects. In this work we present the acquired experience on studying the galaxy content of the Fornax cluster using large catalogues obtained by the Southern Photometric Local Universe Survey (S-PLUS). We realized that some Fornax bright galaxies are missed in the S-PLUS iDR4 catalogues. In addition, Fornax star-forming galaxies are included as multiple detections due to over-deblending. To solve those issues, we performed specific SExtractor runs to identify the proper set of parameters to recover as many Fornax galaxies as possible with confident photometry and avoiding duplications. From that process, we obtained new catalogs containing 12-band improved photometry for ~ 3 x 10^6 resolved and unresolved sources in an area of ~ 208 deg2 in the direction of the Fornax cluster. Together with identifying the main difficulties to carry out the study of nearby groups and clusters of galaxies using S-PLUS catalogs, we also share possible solutions to face issues that seem to be common to other ongoing photometric surveys., Comment: Accepted to be published in MNRAS. 13 pages. 15 Figures

Published
2024

3. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts

Author

Nakazono, L., Valença, R. R., Soares, G., Izbicki, R., Ivezić, Ž., Lima, E. V. R., Hirata, N. S. T., Sodré Jr., L., Overzier, R., Almeida-Fernandes, F., Schwarz, G. B. Oliveira, Schoenell, W., Kanaan, A., Ribeiro, T., and de Oliveira, C. Mendes

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The advent of massive broad-band photometric surveys enabled photometric redshift estimates for unprecedented numbers of galaxies and quasars. These estimates can be improved using better algorithms or by obtaining complementary data such as narrow-band photometry, and broad-band photometry over an extended wavelength range. We investigate the impact of both approaches on photometric redshifts for quasars using data from Southern Photometric Local Universe Survey (S-PLUS) DR4, Galaxy Evolution Explorer (GALEX) DR6/7, and the unWISE catalog for the Wide-field Infrared Survey Explorer (WISE) in three machine learning methods: Random Forest, Flexible Conditional Density Estimation (FlexCoDE), and Bayesian Mixture Density Network (BMDN). Including narrow-band photometry improves the root-mean-square error by 11% in comparison to a model trained with only broad-band photometry. Narrow-band information only provided an improvement of 3.8% when GALEX and WISE colours were included. Thus narrow bands play a more important role for objects that do not have GALEX or WISE counterparts, which respectively makes 92% and 25% of S-PLUS data considered here. Nevertheless, the inclusion of narrow-band information provided better estimates of the probability density functions obtained with FlexCoDE and BMDN. We publicly release a value-added catalogue of photometrically selected quasars with the photo-z predictions from all methods studied here. The catalogue provided with this work covers the S-PLUS DR4 area (~3000deg$^2$), containing 645 980, 244 912, 144 991 sources with the probability of being a quasar higher than, 80%, 90%, 95% up to r < 21.3 and good photometry quality in the detection image. More quasar candidates can be retrieved from the S-PLUS data base by considering less restrictive selection criteria.

Published
2024
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4. The S-PLUS Fornax Project (S+FP): A first 12-band glimpse of the Fornax galaxy cluster

Author

Castelli, A. V. Smith, Cortesi, A., Haack, R. F., Lopes, A. R., Thainá-Batista, J., Fernandes, R. Cid, Lomelí-Núñez, L., Ribeiro, U., de Bom, C. R., Cernic, V., Sodré Jr, L., Zenocratti, L., De Rossi, M. E., Calderón, J. P., Herpich, F., Telles, E., Saha, K., Lopes, P. A. A., Lopes-Silva, V. H., Gonçalves, T. S., Bambrila, D., Cardoso, N. M., Buzzo, M. L., Sotomayor, P. Astudillo, Demarco, R., Leigh, N., Sarzi, M., Menéndez-Delmestre, K., Faifer, F. R., Jiménez-Teja, Y., Grossi, M., Hernández-Jiménez, J. A., Krabbe, A. C., Soto, L. A. Gutiérrez, Brandão, D., Espinosa, L., Olave-Rojas, D. E., Schwarz, G. B. Oliveira, Almeida-Fernandes, F., Schoenell, W., Ribeiro, T., Kanaan, A., and de Oliveira, C. Mendes

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

The Fornax galaxy cluster is the richest nearby (D ~ 20 Mpc) galaxy association in the southern sky. As such, it provides a wealth of oportunities to elucidate on the processes where environment holds a key role in transforming galaxies. Although it has been the focus of many studies, Fornax has never been explored with contiguous homogeneous wide-field imaging in 12 photometric narrow- and broad-bands like those provided by the Southern Photometric Local Universe Survey (S-PLUS). In this paper we present the S-PLUS Fornax Project (S+FP) that aims to comprehensively analyse the galaxy content of the Fornax cluster using S-PLUS. Our data set consists of 106 S-PLUS wide-field frames (FoV ~ 1.4 x 1.4 deg$^2$) observed in five SDSS-like ugriz broad-bands and seven narrow-bands covering specific spectroscopic features like [OII], CaII H+K, H$\delta$, G-band, Mg b triplet, H$\alpha$, and the CaII triplet. Based on S-PLUS specific automated photometry, aimed at correctly detecting Fornax galaxies and globular clusters in S-PLUS images, our dataset provides the community with catalogues containing homogeneous 12-band photometry for ~ 3 x 10$^6$ resolved and unresolved objects within a region extending over ~ 208 deg$^2$ (~ 5 Rvir in RA) around Fornax' central galaxy, NGC 1399. We further explore the EAGLE and IllustrisTNG cosmological simulations to identify 45 Fornax-like clusters and generate mock images on all 12 S-PLUS bands of these structures down to galaxies with M$\star \geq 10^8$ M$\odot$. The S+FP dataset we put forward in this first paper of a series will enable a variety of studies some of which are briefly presented., Comment: 25 pages, 30 figures, accepted for publication in MNRAS

Published
2024

5. Genetics and environment: Legal and ethical derivations of ecogenetics

Author

NAVES, B. T. O., FERNANDES, F. R., and NASCIMENTO, S. M. C.

Subjects
Bioethics, Ecogenetics, Environment, Ethics, Health, Law, Law in general. Comparative and uniform law. Jurisprudence, K1-7720, Medical legislation, K3601-3611
Abstract

This paper analyzes the ethical, social and legal derivations of a specific branch of genetics – ecogenetics. For this, a bibliographic methodology was adopted, based on interdisciplinary doctrinal sources, to review the literature on the subject, which is still scarce. The study object of ecogenetics is the relationship between the environment and the individual genetic characteristics that alter the general health conditions. The current bioscience developments moved the focus from treatment and cure to disease prevention as well as raised ethical questions about the influence of knowledge of genetic traits and the environmental factors that act on them. Moves the human act to the perspective of responsibility, both for the individual, as the community in relation to present and future generations. The importance of the ecogenetics research spreads beyond the individual and family interests, converting into important preconditions for governmental adoption of preventive measures.

Published
2017
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6. An Extended Catalogue of galaxy morphology using Deep Learning in Southern Photometric Local Universe Survey Data Release 3

Author

Bom, C. R., Cortesi, A., Ribeiro, U., Dias, L. O., Kelkar, K., Castelli, A. V. Smith, Santana-Silva, L., Silva, V., Gonçalves, T. S., Abramo, L. R., Lima, E. V. R., Almeida-Fernandes, F., Espinosa, L., Li, L., Buzzo, M. L., de Oliveira, C. Mendes, Sodré Jr., L., Alvarez-Candal, A., Grossi, M., Telles, E., Torres-Flores, S., Werner, S. V., Kanaan, A., Ribeiro, T., and Schoenell, W.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation. However, in large sky surveys, even the morphological classification of galaxies into two classes, like late-type (LT) and early-type (ET), still represents a significant challenge. In this work we present a Deep Learning (DL) based morphological catalog built from images obtained by the Southern Photometric Local Universe Survey (S-PLUS) Data Release 3 (DR3). Our DL method achieves an precision rate of 98.5$\%$ in accurately distinguishing between spiral, as part of the larger category of late type (LT) galaxies, and elliptical, belonging to early type (ET) galaxies. Additionally, we have implemented a secondary classifier that evaluates the quality of each galaxy stamp, which allows to select only high-quality images when studying properties of galaxies on the basis of their DL morphology. From our LT/ET catalog of galaxies, we recover the expected color--magnitude diagram in which LT galaxies display bluer colors than ET ones. Furthermore, we also investigate the clustering of galaxies based on their morphology, along with their relationship to the surrounding environment. As a result, we deliver a full morphological catalog with $164314$ objects complete up to $r_{petro}<18$, covering $\sim 1800$ deg$^2$, including a significant area of the Southern hemisphere that was not covered by previous morphology catalogues., Comment: 22 pages, 24 figures

Published
2023

7. Statistical analysis of global properties of galaxies in the direction of the Fornax cluster with S-PLUS

Author

Calderón, J. P., Castelli, A. V. Smith, de Lima, E. V. R., Lopes, A. R., Almeida-Fernandes, F., and de Oliveira, C. Mendes

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

In the context of the S-PLUS Fornax Project (S+FP), we analyze the galaxy population in the direction of the Fornax cluster ($D\approx 20$~Mpc). We have 23 fields of size $1.4^{\circ}\times 1.4^{\circ}$, covering the projected positions of 999 Fornax galaxies reported in the literature. 244 of those galaxies are detected with confident photometry in our fields which were observed simultaneously in 12 photometric bands. Besides those of Fornax galaxies, we obtained confident structural and photometric parameters for $\approx 3\times10^5$ additional galaxies detected in our fields. In this work we present preliminary results on the characterization of the galaxy population of the Fornax cluster with respect to the background galaxy population. Among other goals, we expect that such a characterization provides photometric criteria to identify new candidate members of the cluster., Comment: 3 pages, 3 figures, accepted for Bolet\'in de la Asociaci\'on Argentina de Astronom\'ia

Published
2022

8. Photometric and Morphological Analysis of Fornax Galaxies through S-PLUS

Author

Castelli, A. V. Smith, Lopes, A. R., Cortesi, A., Dimauro, P., Fernandes, R. Cid, Lucatelli, G., de Oliveira, C. Mendes, Almeida-Fernandes, F., Batista, J. T. S. C., Brambila, D., Dhiwar, S., Lopes, P., and Saha, K.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The photometric and morphological analysis of galaxies in clusters provides invaluable information regarding the evolutionary stage of the cluster itself. In addition, it helps to understand how the environment affects the properties of the galaxies and, as a consequence, their evolutionary path. In this contribution we present the first steps on the photometric and morphological analysis of galaxies in the Fornax cluster using S-PLUS data. We expect that the S-PLUS novel filter set and wide field coverage allow us to obtain new information about Fornax and its galaxy population., Comment: 3 pages, 5 figures. Accepted to be published in Bolet\'in de la Asociaci\'on Argentina de Astronom\'ia

Published
2022

9. Canis Major OB1 stellar groups contents revealed by Gaia

Author

Santos-Silva, T., Perottoni, H. D., Almeida-Fernandes, F., Gregorio-Hetem, J., Jatenco-Pereira, V., de Oliveira, C. Mendes, Montmerle, T., Bica, E., Bonatto, C., Monteiro, H., Dias, W. S., Barbosa, C. E., Fernandes, B., Galli, P. A. B., Fernandes, M. Borges, Kanaan, A., Ribeiro, T., and Schoenell, W.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics
Abstract

Canis Major OB1 (CMa OB1) is a Galactic stellar association with a very intriguing star-formation scenario. There are more than two dozen known star clusters in its line of sight, but it is not clear which ones are physically associated with CMa OB1. We use a clustering code that employs 5-dimensional data from the Gaia DR2 catalogue to identify physical groups and obtain their astrometric parameters and, in addition, we use two different isochrone-fitting methods to estimate the ages of these groups. We find 15 stellar groups with distances between 570 pc and 1650 pc, including 10 previously known and 5 new open cluster candidates. Four groups, precisely the youngest ones ($<$ 20 Myr), CMa05, CMa06, CMa07 and CMa08, are confirmed to be part of CMa OB1. We find that CMa08, a new cluster candidate, may be the progenitor cluster of runaway stars. CMa06 coincides with the well-studied CMa R1 star-forming region. While CMa06 is still forming stars, due to the remaining material of the molecular cloud associated with the Sh 2-262 nebula, CMa05, CMa07 and CMa08 seem to be in more evolved stages of evolution, with no recent star-forming activity. The properties of these CMa OB1 physical groups fit well in a monolithic scenario of star formation, with a common formation mechanism, and having suffered multiple episodes of star formation. This suggests that the hierarchical model alone, which explains the populations of other parts of the same association, is not sufficient to explain its whole formation history., Comment: 23 pages, 28 figures, 7 tables

Published
2021
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12. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2

Author

Nakazono, L., de Oliveira, C. Mendes, Hirata, N. S. T., Jeram, S., Queiroz, C., Eikenberry, Stephen S., Gonzalez, A. H., Abramo, R., Overzier, R., Espadoto, M., Martinazzo, A., Sampedro, L., Herpich, F. R., Almeida-Fernandes, F., Werle, A., Barbosa, C. E., Sodré Jr., L., Lima, E. V., Buzzo, M. L., Cortesi, A., Menéndez-Delmestre, K., Akras, S., Alvarez-Candal, Alvaro, Lopes, A. R., Telles, E., Schoenell, W., Kanaan, A., and Ribeiro, T.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

This paper provides a catalogue of stars, quasars, and galaxies for the Southern Photometric Local Universe Survey Data Release 2 (S-PLUS DR2) in the Stripe 82 region. We show that a 12-band filter system (5 Sloan-like and 7 narrow bands) allows better performance for object classification than the usual analysis based solely on broad bands (regardless of infrared information). Moreover, we show that our classification is robust against missing values. Using spectroscopically confirmed sources retrieved from the Sloan Digital Sky Survey DR16 and DR14Q, we train a random forest classifier with the 12 S-PLUS magnitudes + 4 morphological features. A second random forest classifier is trained with the addition of the W1 (3.4 $\mu$m) and W2 (4.6 $\mu$m) magnitudes from the Wide-field Infrared Survey Explorer (WISE). Forty-four percent of our catalogue have WISE counterparts and are provided with classification from both models. We achieve 95.76% (52.47%) of quasar purity, 95.88% (92.24%) of quasar completeness, 99.44% (98.17%) of star purity, 98.22% (78.56%) of star completeness, 98.04% (81.39%) of galaxy purity, and 98.8% (85.37%) of galaxy completeness for the first (second) classifier, for which the metrics were calculated on objects with (without) WISE counterpart. A total of 2,926,787 objects that are not in our spectroscopic sample were labelled, obtaining 335,956 quasars, 1,347,340 stars, and 1,243,391 galaxies. From those, 7.4%, 76.0%, and 58.4% were classified with probabilities above 80%. The catalogue with classification and probabilities for Stripe 82 S-PLUS DR2 is available for download., Comment: 27 pages, 22 figures. Updated to reflect the published version. Data products are available in https://splus.cloud/ website

Published
2021
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13. Data Release 2 of S-PLUS: accurate template-fitting based photometry covering $\sim$1000 square degrees in 12 optical filters

Author

Almeida-Fernandes, F., Sampedro, L., Herpich, F. R., Molino, A., Barbosa, C. E., Buzzo, M. L., Overzier, R. A., de Lima, E. V. R., Nakazono, L. M. I., Schwarz, G. B. Oliveira, Perottoni, H. D., Bolutavicius, G. F., Gutiérrez-Soto, L. A., Santos-Silva, T., Vitorelli, A. Z., Werle, A., Whitten, D. D., Duarte, M. V. Costa, Bom, C. R., Coelho, P., Sodré Jr., L., Placco, V. M., Teixeira, G. S. M., Alonso-García, J., Beers, T. C., Kanaan, A., Ribeiro, T., Schoenell, W., and de Oliveira, C. Mendes

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics
Abstract

The Southern Photometric Local Universe Survey (S-PLUS) is an ongoing survey of $\sim$9300 deg$^2$ in the southern sky in a 12-band photometric system. This paper presents the second data release (DR2) of S-PLUS, consisting of 514 tiles covering an area of 950 deg$^2$. The data has been fully calibrated using a new photometric calibration technique suitable for the new generation of wide-field multi-filter surveys. This technique consists of a $\chi^2$ minimisation to fit synthetic stellar templates to already calibrated data from other surveys, eliminating the need for standard stars and reducing the survey duration by $\sim$15\%. We compare the template-predicted and S-PLUS instrumental magnitudes to derive the photometric zero-points (ZPs). We show that these ZPs can be further refined by fitting the stellar templates to the 12 S-PLUS magnitudes, which better constrain the models by adding the narrow-band information. We use the STRIPE82 region to estimate ZP errors, which are $\lesssim10$ mmags for filters J0410, J0430, $g$, J0515, $r$, J0660, $i$, J0861 and $z$; $\lesssim 15$ mmags for filter J0378; and $\lesssim 25$ mmags for filters $u$ and J0395. We describe the complete data flow of the S-PLUS/DR2 from observations to the final catalogues and present a brief characterisation of the data. We show that, for a minimum signal-to-noise threshold of 3, the photometric depths of the DR2 range from 19.9 mag to 21.3 mag (measured in Petrosian apertures), depending on the filter. The S-PLUS DR2 can be accessed from the website: https://splus.cloud}{https://splus.cloud., Comment: 29 pages, 26 figures, 7 tables

Published
2021
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14. The Abundance Pattern of $\alpha$ elements in the Triangulum-Andromeda Overdensity

Author

Silva, J. V. Sales, Cunha, K., Perottoni, H. D., Rocha-Pinto, H. J., Daflon, S., Almeida-Fernandes, F., Souto, Diogo, and Majewski, S. R.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics
Abstract

The close relationship between the nature of the Triangulum-Andromeda (TriAnd) overdensity and the Galactic disk has become increasingly evident in recent years. However, the chemical pattern of this overdensity (R$_{GC}$ = 20 - 30 kpc) is unique and differs from what we know of the local disk. In this study, we analyze the chemical abundances of five $\alpha$ elements (Mg, O, Si, Ca, and Ti) in a sample of stars belonging to the TriAnd overdensity, including stars with [Fe/H] $<$ $-$1.2, to investigate the evolution of the $\alpha$ elements with metallicity. High-resolution spectra from Gemini North with GRACES were analyzed. Overall, the TriAnd population presents an $\alpha$-element pattern that differs from that of the local disk; the TriAnd stars fall in between the local disk and the dwarf galaxies in the [X/Fe] vs. [Fe/H] plane. The high [Mg/Fe] ratios obtained for the lower metallicity TriAnd stars may indicate a roughly parallel sequence to the Milky Way local disk at lower values of [Fe/H], revealing a 'knee' shifted towards lower metallicities for the TriAnd population. Similar behavior is also exhibited in the [Ca/Fe] and [Si/Fe] ratios. However, for O and Ti the behavior of the [X/Fe] ratios shows a slight decay with decreasing metallicity. Our results reinforce the TriAnd overdensity as a unique stellar population of the Milky Way, with an abundance pattern that is different from all stellar populations studied to date. The complete understanding of the complex TriAnd population will require high-resolution spectroscopic observations of a larger sample of TriAnd stars.

Published
2020
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15. Triangulum-Andromeda overdensity: a region with a complex stellar population

Author

Silva, J. V. Sales, Perottoni, H. D., Cunha, K., Rocha-Pinto, H. J., Almeida-Fernandes, F., Souto, D., and Majewski, S. R.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

The Triangulum--Andromeda (TriAnd) overdensity is a distant structure of the Milky Way located in the second Galactic quadrant well below the Galactic plane. Since its discovery, its nature has been under discussion, whether it could be old perturbations of the Galactic disk or the remains of a disrupted former dwarf galaxy. In this study, we investigate the kinematics and chemical composition in 13 stars selected as TriAnd candidates from 2MASS photometry. The sample was observed using the GRACES high-resolution spectrograph attached to the Gemini North telescope. Based on radial velocities obtained from the spectra and the astrometric data from GAIA, three different kinematic criteria were used to classify our sample stars as belonging to the TriAnd overdensity. The TriAnd confirmed members in our sample span a range in metallicities, including two metal-poor stars ([Fe/H] $\sim$ -1.3 dex). We show that the adopted kinematical classification also chemically segregates TriAnd and non-TriAnd members of our sample, indicating a unique chemical pattern of the TriAnd stars. Our results indicate different chemical patterns for the [Na/Fe], [Al/Fe], [Ba/Fe], and [Eu/Fe] ratios in the TriAnd stars when compared to the chemical pattern of the local disk; the paucity of studies chemically characterizing the outer disk population of the Milky Way is the main obstacle in establishing that the TriAnd population is chemically similar to field stars in the outer disk. But TriAnd chemical pattern is reminiscent of that found in outer disk open clusters, although the latter are significantly more metal-rich than TriAnd., Comment: 15 pages, 12 figures, Accepted to ApJ

Published
2019
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16. The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters

Author

de Oliveira, C. Mendes, Ribeiro, T., Schoenell, W., Kanaan, A., Overzier, R. A., Molino, A., Sampedro, L., Coelho, P., Barbosa, C. E., Cortesi, A., Costa-Duarte, M. V., Herpich, F. R., Hernandez-Jimenez, J. A., Placco, V. M., Xavier, H. S., Abramo, L. R., Saito, R. K., Chies-Santos, A. L., Ederoclite, A., de Oliveira, R. Lopes, Gonçalves, D. R., Akras, S., Almeida, L. A., Almeida-Fernandes, F., Beers, T. C., Bonatto, C., Bonoli, S., Cypriano, E. S., de Lima, Erik V. R., de Souza, R. S., de Souza, G. Fabiano, Ferrari, F., Gonçalves, T. S., Gonzalez, A. H., Gutiérrez-Soto, L. A., Hartmann, E. A., Jaffe, Y., Kerber, L. O., Lima-Dias, C., Lopes, P. A. A., Menendez-Delmestre, K., Nakazono, L. M. I., Novais, P. M., Ortega-Minakata, R. A., Pereira, E. S., Perottoni, H. D., Queiroz, C., Reis, R. R. R., Santos, W. A., Santos-Silva, T., Santucci, R. M., Barbosa, C. L., Siffert, B. B., Sodré Jr., L., Torres-Flores, S., Westera, P., Whitten, D. D., Alcaniz, J. S., Alonso-García, Javier, Alencar, S., Alvarez-Candal, A., Amram, P., Azanha, L., Barbá, R. H., Bernardinelli, P. H., Fernandes, M. Borges, Branco, V., Brito-Silva, D., Buzzo, M. L., Caffer, J., Campillay, A., Cano, Z., Carvano, J. M., Castejon, M., Fernandes, R. Cid, Dantas, M. L. L., Daflon, S., Damke, G., de la Reza, R., de Azevedo, L. J. de Melo, De Paula, D. F., Diem, K. G., Donnerstein, R., Dors, O. L., Dupke, R., Eikenberry, S., Escudero, Carlos G., Faifer, Favio R., Farías, H., Fernandes, B., Fernandes, C., Fontes, S., Galarza, A., Hirata, N. S. T., Katena, L., Gregorio-Hetem, J., Hernández-Fernández, J. D., Izzo, L., Arancibia, M. Jaque, Jatenco-Pereira, V., Jiménez-Teja, Y., Kann, D. A., Krabbe, A. C., Labayru, C., Lazzaro, D., Neto, G. B. Lima, Lopes, Amanda R., Magalhães, R., Makler, M., de Menezes, R., Miralda-Escudé, J., Monteiro-Oliveira, R., Montero-Dorta, A. D., Muñoz-Elgueta, N., Nemmen, R. S., Castellón, J. L. Nilo, Oliveira, A. S., Ortíz, D., Pattaro, E., Pereira, C. B., Quint, B., Riguccini, L., Pinto, H. J. Rocha, Rodrigues, I., Roig, F., Rossi, S., Saha, Kanak, Santos, R., Müller, A. Schnorr, Sesto, Leandro A., Silva, R., Castelli, Analía V. Smith, Teixeira, Ramachrisna, Telles, E., de Souza, R. C. Thom, Thöne, C., Trevisan, M., Postigo, A. de Ugarte, Urrutia-Viscarra, F., Veiga, C. H., Vika, M., Vitorelli, A. Z., Werle, A., Werner, S. V., and Zaritsky, D.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

The Southern Photometric Local Universe Survey (S-PLUS) is imaging ~9300 deg^2 of the celestial sphere in twelve optical bands using a dedicated 0.8 m robotic telescope, the T80-South, at the Cerro Tololo Inter-American Observatory, Chile. The telescope is equipped with a 9.2k by 9.2k e2v detector with 10 um pixels, resulting in a field-of-view of 2 deg^2 with a plate scale of 0.55"/pixel. The survey consists of four main subfields, which include two non-contiguous fields at high Galactic latitudes (8000 deg^2 at |b| > 30 deg) and two areas of the Galactic plane and bulge (for an additional 1300 deg^2). S-PLUS uses the Javalambre 12-band magnitude system, which includes the 5 u, g, r, i, z broad-band filters and 7 narrow-band filters centered on prominent stellar spectral features: the Balmer jump/[OII], Ca H+K, H-delta, G-band, Mg b triplet, H-alpha, and the Ca triplet. S-PLUS delivers accurate photometric redshifts (delta_z/(1+z) = 0.02 or better) for galaxies with r < 20 AB mag and redshift < 0.5, thus producing a 3D map of the local Universe over a volume of more than 1 (Gpc/h)^3. The final S-PLUS catalogue will also enable the study of star formation and stellar populations in and around the Milky Way and nearby galaxies, as well as searches for quasars, variable sources, and low-metallicity stars. In this paper we introduce the main characteristics of the survey, illustrated with science verification data highlighting the unique capabilities of S-PLUS. We also present the first public data release of ~336 deg^2 of the Stripe-82 area, which is available at http://datalab.noao.edu/splus., Comment: Updated to reflect the published version (MNRAS, 489, 241). For a short introductory video of the S-PLUS project, see https://youtu.be/yc5kHrHU9Jk - The S-PLUS Data Release 1 is available at http://datalab.noao.edu/splus

Published
2019
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17. A Cold Stellar Stream in Pegasus

Author

Perottoni, H. D., Martin, C., Newberg, H. J., Rocha-Pinto, H. J., de Almeida-Fernandes, F., and Gomes-Junior, A. R.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We report the serendipitous discovery of a stellar stream in the constellation Pegasus in the south Galactic hemisphere. The stellar stream was detected using the SDSS Data Release 14 by means of a matched filter in the color--magnitude diagram that is optimised for a stellar population that is 8 Gyr old with [Fe/H] = $-$0.46 dex, and located at heliocentric distance of 18 kpc. The candidate stream is faint (turnoff point at $r_0 \sim$ 19.6), sparse and barely visible in SDSS photometry. It is also detected in the (shallower) Pan-STARRs data. The residual stellar density in the $(u-g)_0$, $(g-r)_0$ color--color diagram gives the same estimate for the age and [Fe/H] of this stellar population. The stream is located at a Galactic coordinates $(l,b) = (79.4,-24.6)$ and extends over 9$^\circ$ (2.5 kpc), with a width of 112 pc. The narrow width suggests a globular cluster progenitor., Comment: 9 pages, 7 figures, accepted to MNRAS

Published
2019
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18. Ablation of anomalous mitral annular pathways via transradial access: early hospital discharge due to the covid-19 pandemic

Author

Rosa Filho, A A M, primary, Rosa, A A M, additional, Cavalcante, L B, additional, Rosa, A W, additional, Brandao, M, additional, Moura, D, additional, Angelo, L, additional, Lima, S C G A, additional, Fernandes, F, additional, Loureiro, F, additional, Russo, M, additional, Santiago, G, additional, Silva, J F, additional, Torres, L, additional, and Xavier, E, additional

Published
2024
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19. A kinematical age for the interstellar object 1I/'Oumuamua

Author

Almeida-Fernandes, F. and Rocha-Pinto, H. J.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

1I/'Oumuamua is the first interstellar object observed passing through the Solar System. Understanding the nature of these objects will provide crucial information about the formation and evolution of planetary systems, and the chemodynamical evolution of the Galaxy as a whole. We obtained the galactic orbital parameters of this object, considering 8 different models for the Galaxy, and compared it to those of stars of different ages from the Geneva-Copenhagen Survey (GCS). Assuming that the galactic orbital evolution of this object is similar to that of stars, we applied a Bayesian analyses and used the distribution of stellar velocities, as a function of age, to obtain a probability density function for the age of 'Oumuamua. We considered two models for the age-velocity dispersion relation (AVR): the traditional power law, fitted using data from the GCS; and a model that implements a second power law for younger ages, which we fitted using a sample of 153 Open Clusters (OCs). We find that the slope of the AVR is smaller for OCs than it is for field stars. Using these AVRs, we constrained an age range of 0.01-1.87 Gyr for 'Oumuamua and characterized a most likely age ranging between 0.20-0.45 Gyr, depending on the model used for the AVR. We also estimated the intrinsic uncertainties of the method due to not knowing the exact value of the Solar motion and the particularities of 1I/'Oumuamua's ejection., Comment: 10 pages, 9 figures

Published
2018
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21. The S-PLUS fornax project (S+FP): SExtractor detection and measurement of nearby galaxies in large photometric surveys

Author

Haack, R F, primary, Castelli, A V Smith, additional, de Oliveira, C Mendes, additional, Almeida-Fernandes, F, additional, Faifer, F R, additional, Lopes, A R, additional, Jaffe, Y, additional, Demarco, R, additional, Lima-Dias, C, additional, Lomelí-Nuñez, L, additional, Montaguth, G P, additional, Schoenell, W, additional, Ribeiro, T, additional, and Kanaan, A, additional

Published
2024
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22. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts

Author

Nakazono, L, primary, Valença, R R, additional, Soares, G, additional, Izbicki, R, additional, Ivezić, Ž, additional, Lima, E V R, additional, Hirata, N S T, additional, Sodré, L, additional, Overzier, R, additional, Almeida-Fernandes, F, additional, Schwarz, G B Oliveira, additional, Schoenell, W, additional, Kanaan, A, additional, Ribeiro, T, additional, and de Oliveira, C Mendes, additional

Published
2024
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26. Solar type II radio bursts associated with CME expansions as shown by EUV waves

Author

Cunha-Silva, R. D., Fernandes, F. C. R., and Selhorst, C. L.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

We investigate the physical conditions of the sources of two metric Type-II bursts associated with CME expansions with the aim of verifying the relationship between the shocks and the CMEs, comparing the heights of the radio sources and the heights of the EUV waves associated with the CMEs. The heights of the EUV waves associated with the events were determined in relation to the wave fronts. The heights of the shocks were estimated by applying two different density models to the frequencies of the Type-II emissions and compared with the heights of the EUV waves. For the 13 June 2010 event, with band-splitting, the shock speed was estimated from the frequency drifts of the upper and lower branches of the harmonic lane, taking into account the H/F frequency ratio fH/fF = 2. Exponential fits on the intensity maxima of the branches revealed to be more consistent with the morphology of the spectrum of this event. For the 6 June 2012 event, with no band-splitting and with a clear fundamental lane on the spectrum, the shock speed was estimated directly from the frequency drift of the fundamental emission, determined by linear fit on the intensity maxima of the lane. For each event, the most appropriate density model was adopted to estimate the physical parameters of the radio source. The 13 June 2010 event presented a shock speed of 664-719 km/s, consistent with the average speed of the EUV wave fronts of 609 km/s. The 6 June 2012 event was related to a shock of speed of 211-461 km/s, also consistent with the average speed of the EUV wave fronts of 418 km/s. For both events, the heights of the EUV wave revealed to be compatible with the heights of the radio source, assuming a radial propagation of the shock., Comment: Accepted for publication in Astronomy and Astrophysics

Published
2015
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27. Fine structure of the age–chromospheric activity relation in solar-type stars: II. Hα line.

Author

Souza dos Santos, P V, Porto de Mello, G F, Costa-Bhering, E, Lorenzo-Oliveira, D, Almeida-Fernandes, F, Dutra-Ferreira, L, and Ribas, I

Subjects
CONVECTION (Astrophysics), STELLAR magnetic fields, SUPERGIANT stars, AGE of stars, STELLAR chromospheres, SOLAR chromosphere, STELLAR atmospheres
Abstract

Excess chromospheric emissions within deep photospheric lines are effective proxies of stellar magnetism for FGK stars. This emission decays with stellar age and is a potential determinant of this important stellar quantity. We report absolutely calibrated H  |$\alpha$| chromospheric fluxes for 511 solar-type stars in a wide interval of precisely determined masses, [Fe/H], ages, and evolution states from high S/N, moderately high |$-$| resolution spectra. The comparison of H  |$\alpha$| and H + K chromospheric fluxes reveals a metallicity bias (absent from H  |$\alpha$|⁠) affecting Ca  ii H + K fluxes thereby metal-rich stars with deep line profiles mimic low chromospheric flux levels, and vice versa for metal-poor stars. This bias blurs the age–activity relation, precluding age determinations for old, inactive stars unless mass and [Fe/H] are calibrated into the relation. The H + K lines being the most widely studied tool to quantify magnetic activity in FGK stars, care should be exercised in its use whenever wide ranges of mass and [Fe/H] are involved. The H  |$\alpha$| age–activity–mass–metallicity calibration appears to be in line with the theoretical expectation that (other parameters being equal) more massive stars possess narrower convective zones and are less active than less massive stars, while more metal-rich stars have deeper convective zones and appear more active than metal-poorer stars. If regarded statistically in tandem with other age diagnostics, H  |$\alpha$| chromospheric fluxes may be suitable to constrain ages for FGK stars with acceptable precision. [ABSTRACT FROM AUTHOR]

Published
2024
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30. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3

Author

Bom, C R, primary, Cortesi, A, additional, Ribeiro, U, additional, Dias, L O, additional, Kelkar, K, additional, Smith Castelli, A V, additional, Santana-Silva, L, additional, Lopes-Silva, V, additional, Gonçalves, T S, additional, Abramo, L R, additional, Lima, E V R, additional, Almeida-Fernandes, F, additional, Espinosa, L, additional, Li, L, additional, Buzzo, M L, additional, Mendes de Oliveira, C, additional, Sodré, L, additional, Ferrari, F, additional, Alvarez-Candal, A, additional, Grossi, M, additional, Telles, E, additional, Torres-Flores, S, additional, Werner, S V, additional, Kanaan, A, additional, Ribeiro, T, additional, and Schoenell, W, additional

Published
2023
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32. Detection of Trypanosoma cruzi DNA in blood by PCR is associated with Chagas cardiomyopathy and disease severity

Author

Sabino, EC, Ribeiro, AL, Lee, TH, Oliveira, CL, Carneiro‐Proietti, AB, Antunes, AP, Menezes, MM, Ianni, BM, Salemi, VM, Nastari, L, Fernandes, F, Sachdev, V, Carrick, DM, Deng, X, Wright, D, Gonçalez, TT, Murphy, EL, Custer, B, Busch, MP, and Study‐II, International Component for the Chagas Study Group of the NHLBI Retrovirus Epidemiology Donor

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Vector-Borne Diseases, Cardiovascular, Prevention, Heart Disease, Genetics, Clinical Research, Infectious Diseases, Rare Diseases, Good Health and Well Being, Adult, Blood Donors, Case-Control Studies, Chagas Cardiomyopathy, DNA, Protozoan, Female, Humans, Male, Middle Aged, Real-Time Polymerase Chain Reaction, Retrospective Studies, Severity of Illness Index, Trypanosoma cruzi, PCR, cardiomyopathy, Chagas Study Group of the NHLBI Retrovirus Epidemiology Donor Study-II, International Component, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThe significance of detection of Trypanosoma cruzi DNA in blood of antibody-positive patients for risk of development of Chagas heart disease is not well established. The objective of this study was to compare detection of T. cruzi DNA with known clinical and laboratory markers of Chagas cardiomyopathy (CC) severity.MethodsThis is a case-control study nested within a retrospective cohort developed in Brazil to understand the natural history of Chagas disease. The study enrolled 499 T. cruzi seropositive blood donors (SP-BD) and 488 frequency matched seronegative control donors (SN-BD) who had donated between 1996 and 2002, and 101 patients with clinically diagnosed CC. In 2008-2010 all enrolled subjects underwent a health questionnaire, medical examination, electrocardiograms and echocardiograms and polymerase chain reaction (PCR) analyses. A blinded panel of three cardiologists adjudicated the outcome of CC. Trypanosoma cruzi kinetoplast minicircle sequences were amplified by real-time PCR using an assay with a sensitivity of one parasite per 20 mL of blood. All testing was performed on coded samples.ResultsRates of PCR detection of T. cruzi DNA were significantly (P = 0.003) higher in CC patients and SP-BD diagnosed with CC (79/105 [75.2 %]) compared with SP-BD without CC (143/279 [51.3%]). The presence of parasitaemia was significantly associated with known markers of disease progression such as QRS and QT interval duration, lower left ventricular ejection fraction, higher left ventricular index mass, and elevated troponin and NTpro-BNP levels.ConclusionTrypanosoma cruzi PCR positivity is associated with presence and severity of cardiomyopathy, suggesting a direct role of parasite persistence in disease pathogenesis.

Published
2015

34. Blume-Capel model on directed and undirected Small-World Voronoi-Delaunay random lattices

Author

Fernandes, F. P., Lima, F. W. S., and Plascak, J. A.

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Disordered Systems and Neural Networks
Abstract

The critical properties of the spin-1 two-dimensional Blume-Capel model on directed and undi- rected random lattices with quenched connectivity disorder is studied through Monte Carlo simulations. The critical temperature, as well as the critical point exponents are obtained. For the undi- rected case this random system belongs to the same universality class as the regular two-dimensional model. However, for the directed random lattice one has a second-order phase transition for q < qc and a first-order phase transition for q > qc, where qc is the critical rewiring probability. The critical exponents for q < qc was calculated and they do not belong to the same universality class as the regular two-dimensional ferromagnetic model., Comment: 7 pages 13 figures

Published
2010
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35. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3.

Author

Bom, C R, Cortesi, A, Ribeiro, U, Dias, L O, Kelkar, K, Smith Castelli, A V, Santana-Silva, L, Lopes-Silva, V, Gonçalves, T S, Abramo, L R, Lima, E V R, Almeida-Fernandes, F, Espinosa, L, Li, L, Buzzo, M L, Mendes de Oliveira, C, Sodré, L, Ferrari, F, Alvarez-Candal, A, and Grossi, M

Subjects
DATA release, DEEP learning, CLASSIFICATION of galaxies, GALAXY clusters, UNIVERSE
Abstract

The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation. However, in large sky surveys, even the morphological classification of galaxies into two classes, like late-type (LT) and early-type (ET), still represents a significant challenge. In this work, we present a Deep Learning (DL) based morphological catalogue built from images obtained by the Southern Photometric Local Universe Survey (S-PLUS) Data Release 3 (DR3). Our DL method achieves a purity rate of 98.5 per cent in accurately distinguishing between spiral, as part of the larger category of LT galaxies, and elliptical, belonging to ET galaxies. Additionally, we have implemented a secondary classifier that evaluates the quality of each galaxy stamp, which allows to select only high-quality images when studying properties of galaxies on the basis of their DL morphology. From our LT/ET catalogue of galaxies, we recover the expected colour–magnitude diagram in which LT galaxies display bluer colours than ET ones. Furthermore, we also investigate the clustering of galaxies based on their morphology, along with their relationship to the surrounding environment. As a result, we deliver a full morphological catalogue with 164 314 objects complete up to r petro < 18, covering ∼1800 deg2, from which ∼55 000 are classified as high reliability, including a significant area of the Southern hemisphere that was not covered by previous morphology catalogues. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Ages and metallicities of stellar clusters using S-PLUS narrow-band integrated photometry: the Small Magellanic Cloud

Author

Fabiano de Souza, G, primary, Westera, P, additional, Almeida-Fernandes, F, additional, Limberg, G, additional, Dias, B, additional, Hernandez-Jimenez, J A, additional, Herpich, F R, additional, Kerber, L O, additional, Machado-Pereira, E, additional, Perottoni, H D, additional, Guerço, Rafael, additional, Li, L, additional, Sampedro, L, additional, Kanaan, A, additional, Ribeiro, T, additional, Schoenell, W, additional, and Mendes de Oliveira, C, additional

Published
2023
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38. Persistence in the zero-temperature dynamics of the $Q$-states Potts model on undirected-directed Barab\'asi-Albert networks and Erd\'os-R\'enyi random graphs

Author

Fernandes, F. P. and Lima, F. W. S.

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Disordered Systems and Neural Networks
Abstract

The zero-temperature Glauber dynamics is used to investigate the persistence probability $P(t)$ in the Potts model with $Q=3,4,5,7,9,12,24,64, 128$, $256, 512, 1024,4096,16384 $,..., $2^{30}$ states on {\it directed} and {\it undirected} Barab\'asi-Albert networks and Erd\"os-R\'enyi random graphs. In this model it is found that $P(t)$ decays exponentially to zero in short times for {\it directed} and {\it undirected} Erd\"os-R\'enyi random graphs. For {\it directed} and {\it undirected} Barab\'asi-Albert networks, in contrast it decays exponentially to a constant value for long times, i.e, $P(\infty)$ is different from zero for all $Q$ values (here studied) from $Q=3,4,5,..., 2^{30}$; this shows "blocking" for all these $Q$ values. Except that for $Q=2^{30}$ in the {\it undirected} case $P(t)$ tends exponentially to zero; this could be just a finite-size effect since in the other "blocking" cases you may have only a few unchanged spins., Comment: 14 pages, 8 figures for IJMC

Published
2008
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39. Phosphate fertilization in ‘sabiá’ (Mimosa caesalpiniifolia Benth.) implantation in crop-forest system in semiarid region

Author

SOUZA, H. A. de, POMPEU, R. C. F. F., TONUCCI, R. G., FERNANDES, F. E. P., PRIMO, A. A., FERREIRA, A. C. M., LEITE, L. F. C., HENRIQUE ANTUNES DE SOUZA, CPAMN, ROBERTO CLAUDIO FERNANDES F POMPEU, CNPC, RAFAEL GONCALVES TONUCCI, CNPC, FRANCISCO EDEN PAIVA FERNANDES, CNPC, ANACLAUDIA ALVES PRIMO, UFC, ANE CAROLINE MELO FERREIRA, UFPI, and LUIZ FERNANDO CARVALHO LEITE, CPAMN.

Subjects
ILPF, Nutrição fosfatada, General Agricultural and Biological Sciences, Caatinga
Abstract

The use of fertilizers can increase the production of Forest species, which can be used for the extraction of wood in monocultures or in agroforestry systems. Thus, the objective was to evaluate the application of phosphorus doses in the implantation of Mimosa caesalpiniaefolia in a degraded area. Made available in DSpace on 2022-06-13T13:20:56Z (GMT). No. of bitstreams: 1 PhosphateFertilizationSabiaImplantationCropForestRBCA17.2022.pdf: 2894202 bytes, checksum: 0d31c415a6564ffb65937cedc6dc51b8 (MD5) Previous issue date: 2022

Published
2022

41. Chemodynamical properties and ages of metal-poor stars in S-PLUS

Author

Almeida-Fernandes, F, primary, Placco, V M, additional, Rocha-Pinto, H J, additional, Fernandes, M Borges, additional, Limberg, G, additional, e Silva, L Beraldo, additional, Amarante, J A S, additional, Perottoni, H D, additional, Overzier, R, additional, Schoenell, W, additional, Ribeiro, T, additional, Kanaan, A, additional, and de Oliveira, C Mendes, additional

Published
2023
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42. P352 EXPLORATORY ANALYSES FROM APOLLO–B, A PHASE 3 STUDY OF PATISIRAN IN PATIENTS WITH ATTR AMYLOIDOSIS WITH CARDIOMYOPATHY

Author

Cappelli, F, primary, Kale, P, additional, Maurer, M, additional, Fontana, M, additional, Grogan, M, additional, Fernandes, F, additional, Palacek, T, additional, Taylor, M, additional, Hung, R, additional, González–duarte, A, additional, Puolsen, S, additional, Donal, E, additional, Perfetto, F, additional, Tsujita, K, additional, Yu, W, additional, Sarswat, N, additional, White, M, additional, Yureneva, E, additional, Jay, P, additional, Vest, J, additional, and Gillmore, J, additional

Published
2023
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43. C66 PRIMARY RESULTS FROM APOLLO–B, A PHASE 3 STUDY OF PATISIRAN IN PATIENTS WITH TRANSTHYRETIN–MEDIATED AMYLOIDOSIS WITH CARDIOMYOPATHY

Author

Longhi, S, primary, Maurer, M, additional, Fontana, M, additional, Berk, J, additional, Gustafsson, F, additional, Simões, M, additional, Grogan, M, additional, Fernandes, F, additional, Gottlieb, R, additional, Kubanek, M, additional, Poulsen, S, additional, Damy, T, additional, Diemberger, I, additional, Tahara, N, additional, Yu, W, additional, Tang, W, additional, Obici, L, additional, González–Duarte, A, additional, Sekijima, Y, additional, White, M, additional, Yureneva, E, additional, Jay, P, additional, Vest, J, additional, and Gillmore, J, additional

Published
2023
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44. Ages and metallicities of stellar clusters using S-PLUS narrow-band integrated photometry: the Small Magellanic Cloud.

Author

Fabiano de Souza, G, Westera, P, Almeida-Fernandes, F, Limberg, G, Dias, B, Hernandez-Jimenez, J A, Herpich, F R, Kerber, L O, Machado-Pereira, E, Perottoni, H D, Guerço, Rafael, Li, L, Sampedro, L, Kanaan, A, Ribeiro, T, Schoenell, W, and Mendes de Oliveira, C

Subjects
SMALL magellanic cloud, MILKY Way, STELLAR evolution, MAGELLANIC clouds, SPECTRAL energy distribution, STAR clusters, AGE of stars
Abstract

The Magellanic Clouds are the most massive and closest satellite galaxies of the Milky Way (MW), with stars covering ages from a few Myr up to 13 Gyr. This makes them important for validating integrated light methods to study stellar populations and star formation processes, which can be applied to more distant galaxies. We characterized a set of stellar clusters in the Small Magellanic Cloud (SMC), using the Southern Photometric Local Universe Survey. This is the first age (metallicity) determination for 11 (65) clusters of this sample. Through its seven narrow bands, centred on important spectral features, and five broad bands, we can retrieve detailed information about stellar populations. We obtained ages and metallicities for all stellar clusters using the Bayesian spectral energy distribution fitting code bagpipes. With a sample of clusters in the colour range −0.20 < r − z < +0.35, for which our determined parameters are most reliable, we modeled the age–metallicity relation of SMC. At any given age, the metallicities of SMC clusters are lower than those of both the Gaia Sausage-Enceladus disrupted dwarf galaxy and the MW. In comparison with literature values, differences are Δlog(age) ≈ 0.31 and Δ[Fe/H] ≈ 0.41, which is comparable to low-resolution spectroscopy of individual stars. Finally, we confirm a previously known gradient, with younger clusters in the centre and older ones preferentially located in the outermost regions. On the other hand, we found no evidence of a significant metallicity gradient. [ABSTRACT FROM AUTHOR]

Published
2024
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45. A consensus protocol for functional connectivity analysis in the rat brain

Author

Grandjean, J., Desrosiers-Gregoire, G., Anckaerts, C., Angeles-Valdez, D., Ayad, F., Barrière, D., Blockx, I., Bortel, A., Broadwater, M., Cardoso, B., Célestine, M., Chavez-Negrete, J., Choi, S., Christiaen, E., Clavijo, P., Colon-Perez, L., Cramer, S., Daniele, T., Dempsey, E., Diao, Y., Doelemeyer, A., Dopfel, D., Dvořáková, L., Falfán-Melgoza, C., Fernandes, F., Fowler, C., Fuentes-Ibañez, A., Garin, C., Gelderman, E., Golden, C., Guo, C., Henckens, M., Hennessy, L., Herman , P., Hofwijks, N., Horien, C., Ionescu, T., Jones, J., Kaesser, J., Kim, E., Lambers, H., Lazari, A., Lee, S., Lillywhite, A., Liu, Y., López-Castro, A., López-Gil , X., Ma, Z., MacNicol, E., Madularu, D., Mandino, F., Marciano, S., McAuslan, M., McCunn, P., McIntosh, A., Meng, X., Meyer-Baese, L., Missault, S., Moro, F., Naessens, D., Nava-Gomez, L., Nonaka, H., Ortiz, J., Paasonen, J., Pais-Roldán, P., Peeters, L., Pereira, M., Perez, P., Pompilus, M., Prior, M., Rakhmatullin, R., Reimann, H., Reinwald, J., Triana Del Rio, R., Rivera-Olvera, A., Ruiz-Pérez, D., Russo, G., Rutten, T., Ryoke, R., Sack, M., Salvan, P., Sanganahalli, B., Schroeter, A., Seewoo , B., Selingue, E., Seuwen, A., Shi, B., Sirmpilatze, N., Smith, J., Smith, C., Sobczak, F., Stenroos, P., Straathof, M., Strobelt, S., Sumiyoshi, A., Takahashi, K., Torres-García, M., Tudela, R., van den Berg, M., van der Marel, K., van Hout, A., Vertullo, R., Vidal, B., Vrooman, R., Wang, X., Wank, I., Watson, D., Yin, T., Zhang, Y., Zurbruegg, S., Achard, S., Alcauter, S., Auer, D., Barbier, E., Baudewig, J., Beckmann, C., Beckmann, N., Becq, G., Blezer, E., Bolbos, R., Boretius, S., Bouvard, S., Budinger, E., Buxbaum, J., Cash, D., Chapman, V., Chuang, K., Ciobanu, L., Coolen, B., Dalley, J., Dhenain, M., Dijkhuizen, R., Esteban, O., Faber, C., Febo, M., Feindel, K., Forloni, G., Fouquet, J., Garza-Villarreal, E., Gass, N., Glennon, J., Gozzi, A., Gröhn, O., Harkin, A., Heerschap, A., Helluy, X., Herfert , K., Heuser, A., Homberg, J., Houwing, D., Hyder, F., Ielacqua, G., Jelescu, I., Johansen-Berg, H., Kaneko, G., Kawashima, R., Keilholz, S., Keliris, G., Kelly, C., Kerskens, C., Khokhar, J., Kind, P., Langlois, J., Lerch, J., López-Hidalgo, M., Manahan-Vaughan, D., Marchand, F., Mars, R., Marsella, G., Micotti , E., Muñoz-Moreno , E., Near, J., Niendorf, T., Otte, W., Pan , W., Prado-Alcalá, R., Quirarte, G., Rodger , J., Rosenow, T., Sampaio-Baptista, C., Sartorius, A., Sawiak, S., Scheenen, T., Shemesh, Shih, Y., Shmuel, A., Soria, G., Stoop, R., Thompson, G., Till, S., Todd, N., Van Der Linden, A., van der Toorn, A., van Tilborg, G., Vanhove, C., Veltien, A., Verhoye, M., Wachsmuth, L., Weber-Fahr, W., Wenk , P., Yu, X., Zerbi , V., Zhang , N., Zhang, B., Zimmer, L., Devenyi, G., Chakravarty, M., and Hess, A.

Subjects
Action, intention, and motor control, General Neuroscience, fmri, Medizin, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Human medicine
Abstract

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience. The authors pooled resources to identify best practices and develop a new standardized protocol for estimating functional connectivity in rats with magnetic resonance imaging.

Published
2023

46. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

Author

Einstein, A, Hirschfeld, C, Williams, M, Vitola, J, Better, N, Villines, T, Cerci, R, Shaw, L, Choi, A, Dorbala, S, Karthikeyan, G, Lu, B, Sinitsyn, V, Ansheles, A, Kudo, T, Bucciarelli-Ducci, C, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Sewanan, L, Malkovskiy, E, Cohen, Y, Randazzo, M, Narula, J, Morozova, O, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Hinterleitner, G, Lu, Y, Xu, Z, Erinne, I, Shetty, M, Lopez-Mattei, J, Parwani, P, Goda, A, Shirka, E, Bouyoucef, S, Chelghoum, L, Mansouri, F, Medjahedi, A, Naili, Q, Ridouh, M, Alasia, D, Alberghina, L, Aramayo, N, Buchara, D, Busso, F, Bustos Rivadero, J, Camilletti, J, Campanelli, H, Castro, R, Daicz, M, del Riego, H, Dragonetti, L, Echazarreta, D, Erriest, J, Faccio, F, Facello, A, Gallegos, H, Geronazzo, R, Glait, H, Hasbani, V, Jager, V, Lewkowicz, J, Lotti, J, Maciel, N, Masoli, O, Mastrovito, E, Medus, M, Merani, M, Molteni, S, Montecinos, M, Parisi, G, Sueldo, C, Perez de Arenaza, D, Quintana, L, Radzinschi, A, Redruello, M, Rodriguez, M, Rojas, H, Acuna, A, Schere, D, Traverso, S, Vazquez, G, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Crowley, M, Downie, D, Dwivedi, G, Elison, B, Farouque, O, Jasper, K, Joshi, S, Lee, J, Lee, K, Lui, E, Mcconachie, P, Meaker, J, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Premaratne, M, Prior, D, Rutherford, N, Saunders, C, Taubman, K, Tauro, A, Taylor, A, Theuerle, J, Thomas, P, Tow, J, Upton, A, Vamadevan, S, Wayne, V, Wegner, E, Wong, D, Younger, J, Beitzke, D, Feuchtner, G, Sommer, O, Weiss, K, Maroz-Vadalazhskaya, N, Tserakhau, U, Homans, F, Van De Heyning, C, Araujo, R, Soldat-Stankovic, V, Stankovic, S, Almeida, A, Anselmi, C, Azevedo, G, Bittencourt, M, Pianta, D, Cabeda, E, Carreira, L, Coelho, I, de Amorim Fernandes, F, de Lorenzo, A, Delgado, R, Erthal, F, Fernandes, F, Fernandes, J, Ferreira de Souza, T, Foppa, M, Matos Alves, W, Gontijo, C, Gottlieb, I, Grossman, G, Albernaz Siqueira, M, Nomura, C, Koga, K, Lima, R, Lopes, R, Marcal Filho, H, Masiero, P, Mastrocola, L, Menezes de Siqueira, M, Mesquita, C, Naves, D, Penna, F, Pinto, I, Rocha, T, Rocha, J, Rodrigues, A, Salioni, L, Sanches, A, Santos, M, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Silva, M, Soares, C, Spiro, B, Suaide Silva, C, Torres, R, Monte, G, Vilela, A, Villa, A, Voss, T, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Ouattara, T, Thou, S, Varoeun, S, Abikhzer, G, Beanlands, R, Chetrit, M, Dabreo, D, Dennie, C, Friedrich, M, Hafez, M, Hanneman, K, Miller, R, Oikonomou, A, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Alay, R, Concha, C, Massardo, T, Abad, P, Anzola, K, Arturo, H, Benitez, L, Cadena, A, Zamudio, C, Calderon, A, Gutierrez Villamil, C, Jaimes, C, Londono, J, Lopez, N, Merlano-Gaitan, S, Murgieitio-Cabrera, R, Valencia, M, Vergel, D, Santamaria, A, Solis, F, Batinic, T, Franceschi, M, Paar, M, Prpic, M, Felipe Batista, C, Cabrera, L, Peix, A, Pena, Y, Rochela Vazquez, L, Ntalas, I, Kaminek, M, Kincl, V, Lang, O, Abdulla, J, Bottcher, M, Busk, M, Geisler, U, Gormsen, L, Hansson, N, Hess, S, Hove, J, Jensen, L, Jensen, M, Kragholm, K, Ovrehus, K, Rasmussen, J, Ronnow Sand, N, Sondergaard, H, Zaremba, T, Speckter, H, Amores, N, Velez, M, Alrahman, T, Elsamad, S, Abdelfattah, A, Elkaffas, S, Hassan, M, Hussein, E, Ibrahim, A, Kandeel, A, Ali, M, Shaaban, M, Flores, C, Gomez Leiva, V, Liiver, A, Larikka, M, Uusitalo, V, Agostini, D, Berger, C, Dietz, M, Hyafil, F, Ohana, M, Prigent, K, Regaieg, H, Sarda-Mantel, L, H-Ici, D, Ayetey, H, Angelidis, G, Fragkaki, C, Fragkiadaki, C, Georgoulias, P, Koutelou, M, Kyrozi, E, Lama, N, Prassopoulos, V, Spartalis, M, Zaglavara, T, Gonzalez, C, Gutierrez, G, Maldonado, A, Martinez, Y, Kovacs, A, Szilveszter, B, Banthia, N, Bhat, V, Choudhury, P, Chowdekar, V, Christopher, J, Garg, T, Goyal, N, Gupta, R, Gupta, A, Hephzibah, J, Jain, S, Krupa, J, Kumar, P, Kumar, S, Lalchandani, A, Mishra, 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Ahmad, T, Alfakih, K, Andrade, I, Buckingham, S, Bularga, A, Carpenter, J, Cole, G, Cusack, D, David, S, Davis, P, Fairbairn, T, Ghosh, A, Ramkumar, P, Hamilton, M, Haque, F, Hudson, B, Johnstone, A, Karthikeyan, V, Kay, M, Khan, M, Kitt, J, Low, C, Mcalindon, E, Mccreavy, D, Morrissey, B, Motwani, M, Na, D, Nicol, E, Patel, D, Rodrigues, J, Rofe, C, Schofield, R, Semple, T, Sheikh, A, Sinha, A, Subedi, D, Topping, W, Tweed, K, Underwood, S, Weir-Mccall, J, Zuhairy, H, Abbasi, T, Abohashem, S, Abramson, S, Al-Mallah, M, Kumar, M, Balmer-Swain, M, Berman, D, Bernheim, A, Bhatti, S, Biederman, R, Bieging, E, Bingham, S, Bloom, S, Blue, S, Borges, A, Branch, K, Bravo, P, Buddhe, S, Budoff, M, Bullock-Palmer, R, Cahill, M, Candela, C, Cao, J, Chatterjee, S, Chatzizisis, Y, Chaudhuri, N, Cheezum, M, Chelliah, A, Chen, T, Chen, M, Chen, L, Chokshi, A, Chung, J, Danciu, S, Desisto, W, Dilorenzo, M, Doukky, R, Duvall, W, Ferencik, M, Foster, C, Fuisz, A, Gannon, M, German, D, Gerson, M, Geske, J, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hendel, R, Henkel, J, Horgan, S, Hyun, M, Janardhanan, R, Jerome, S, Kalra, D, Kassop, D, Kinkhabwala, M, Kinzfogl, G, Koch, B, Koweek, L, Krepp, J, Kwon, Y, Layer, J, Lesser, J, Leung, S, Lisske, B, Magurany, K, Markowitz, J, Mccullough, B, Moalemi, A, Moffitt, C, Montanez, J, Moore, W, Morayati, S, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Nelson, K, Nijjar, P, O'Quinn, R, Passen, E, Patil, P, Pursnani, A, Quachang, N, Rabbat, M, Ranjan, P, Lozano, P, Schemmer, M, Seifried, R, Shah, N, Shah, A, Shanbhag, S, Sharma, G, Skotnicki, R, Sobczak, M, Soman, P, Sorrell, V, Srichai, M, Streeter, J, Strickland, L, Suliman, S, Tebyanian, N, Thomas, D, Thompson, R, Uretsky, S, Vallurupalli, S, Vandyck-Acquah, M, Verma, V, Weinstein, J, Wolinsky, D, Zareba, K, Zgaljardic, M, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Vera, L, Duc, B, Nguyen, X, Hiep Nguyen, P, Einstein A. J., Hirschfeld C., Williams M. C., Vitola J. V., Better N., Villines T. C., Cerci R., Shaw L. J., Choi A. D., Dorbala S., Karthikeyan G., Lu B., Sinitsyn V., Ansheles A. A., Kudo T., Bucciarelli-Ducci C., Norgaard B. L., Maurovich-Horvat P., Campisi R., Milan E., Louw L., Allam A. H., Bhatia M., Sewanan L., Malkovskiy E., Cohen Y., Randazzo M., Narula J., Morozova O., Pascual T. N. B., Pynda Y., Dondi M., Paez D., Hinterleitner G., Lu Y., Xu Z., Hirschfeld C. B., Erinne I., Shetty M., Choi A., Lopez-Mattei J., Parwani P., Goda A., Shirka E., Bouyoucef S., Chelghoum L., Mansouri F., Medjahedi A., Naili Q., Ridouh M., Alasia D., Alberghina L., Aramayo N., Buchara D., Busso F. G., Bustos Rivadero J. J., Camilletti J., Campanelli H., Castro R. B., Daicz M., del Riego H., Dragonetti L., Echazarreta D., Erriest J., Faccio F., Facello A., Gallegos H., Geronazzo R., Glait H., Hasbani V., Jager V., Lewkowicz J. M., Lotti J., Maciel N., Masoli O., Mastrovito E., Medus M., Merani M. F., Molteni S., Montecinos M., Parisi G., Sueldo C. P., Perez de Arenaza D., Quintana L., Radzinschi A., Redruello M., Rodriguez M., Rojas H., Acuna A. R., Schere D., Traverso S., Vazquez G., Zeffiro S., Sakanyan M., Beuzeville S., Boktor R., Crowley M., Downie D. A., Dwivedi G., Elison B., Farouque O., Jasper K., Joshi S., Lee J., Lee K., Lui E., Mcconachie P., Meaker J., Nandurkar D., Neill J., O'Rourke E., O'Sullivan P., Pandos G., Premaratne M., Prior D., Rutherford N., Saunders C., Taubman K., Tauro A., Taylor A., Theuerle J., Thomas P., Tow J., Upton A., Vamadevan S., Wayne V., Wegner E. A., Wong D., Younger J., Beitzke D., Feuchtner G., Sommer O., Weiss K., Maroz-Vadalazhskaya N., Tserakhau U., Homans F., Van De Heyning C. M., Araujo R., Soldat-Stankovic V., Stankovic S., Almeida A., Anselmi C., Azevedo G. S. A., Bittencourt M. S., Pianta D. B., Cabeda E., Carreira L., Coelho I., de Amorim Fernandes F., de Lorenzo A., Delgado R., Erthal F., Fernandes F., Fernandes J., Ferreira de Souza T., Foppa M., Matos Alves W. F., Gontijo C., Gottlieb I., Grossman G., Albernaz Siqueira M. H., Nomura C. H., Koga K. H., Lima R., Lopes R., Marcal Filho H. H., Masiero P., Mastrocola L., Menezes de Siqueira M. E., Mesquita C., Naves D., Penna F., Pinto I., Rocha T., Rocha J. L., Rodrigues A., Salioni L., Sanches A., Santos M., Da Silva L. S., Schvartzman P., Matushita C. S., Senra T., Silva M., Soares C. E., Spiro B., Suaide Silva C. E., Torres R., Monte G. U., Vilela A., Villa A. V., Vitola J., Voss T., Waltrick R., Zapparoli M., Naseer H., Garcheva-Tsacheva M., Ouattara T. F., Thou S., Varoeun S., Abikhzer G., Beanlands R., Chetrit M., Dabreo D., Dennie C., Friedrich M., Hafez M. N., Hanneman K., Miller R., Oikonomou A., Roifman I., Small G., Tandon V., Trivedi A., White J., Zukotynski K., Alay R., Concha C., Massardo T., Abad P., Anzola K., Arturo H., Benitez L., Cadena A., Zamudio C. C., Calderon A., Gutierrez Villamil C. T., Jaimes C., Londono J. L., Lopez N., Merlano-Gaitan S., Murgieitio-Cabrera R., Valencia M., Vergel D., Santamaria A. Z., Solis F., Batinic T., Franceschi M., Paar M. H., Prpic M., Felipe Batista C. J., Cabrera L. O., Peix A., Pena Y., Rochela Vazquez L. M., Ntalas I., Kaminek M., Kincl V., Lang O., Abdulla J., Bottcher M., Busk M., Geisler U., Gormsen L. C., Hansson N., Hess S., Hove J., Jensen L. T., Jensen M. T., Kragholm K. H., Ovrehus K., Rasmussen J., Ronnow Sand N. P., Sondergaard H., Zaremba T., Speckter H., Amores N., Velez M. S., Alrahman T. A., Elsamad S. A., Abdelfattah A., Allam A., Elkaffas S., Hassan M., Hussein E., Ibrahim A., Kandeel A., Ali M. M., Shaaban M., Flores C., Gomez Leiva V. V., Liiver A., Larikka M., Uusitalo V., Agostini D., Berger C., Dietz M., Hyafil F., Ohana M., Prigent K., Regaieg H., Sarda-Mantel L., H-Ici D. O., Ayetey H., Angelidis G., Fragkaki C., Fragkiadaki C., Georgoulias P., Koutelou M., Kyrozi E., Lama N., Prassopoulos V., Spartalis M., Zaglavara T., Gonzalez C., Gutierrez G., Maldonado A., Martinez Y., Kovacs A., Szilveszter B., Banthia N., Bhat V., Choudhury P., Chowdekar V. S., Christopher J., Garg T., Goyal N. K., Gupta R. K., Gupta A., Hephzibah J., Jain S., Krupa J., Kumar P., Kumar S., Lalchandani A., Mishra A., Mishra V. D., Mohan P., Ozair A., Pandey S., Parameswaran R., Patel C., Patel T., Patel S., Vimala L. R., Kumar Sarangi D. P., Sengupta S., Sethi A., Sharma A., Sharma A. K., Sharma P., Shrigiriwar A., Singh S., Singh H., Sood A., Verma A., Vyas A., Soeriadi E. A., Bun E., Hutomo F., Syawaluddin H., Yudistiro R., Albadr A., Assadi M., Emami F., Emami-Ardekani A., Farzanehfar S., Jafari R., Manafi-Farid R., Tajik M., Arnson Y., Fuchs S., Goldkorn R., Kennedy J., Leitman M., Shalev A., Acampa W., Albano D., Alongi P., Arnone G., Assante R., Baritussio A., Bauckneht M., Bianco F., Bonfiglioli R., Bovenzi F., Bruno I., Bruno A., Busnardo E., Califaretti E., Casoni R., Censullo V., Chierichetti F., Chiocchi M., Cittanti C., Clemente A., Cuocolo A., De Rimini M. L., De Vincentis G., Della Tommasina V., Dellegrottaglie S., Erba P. 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J., Hirschfeld C., Williams M. C., Vitola J. V., Better N., Villines T. C., Cerci R., Shaw L. J., Choi A. D., Dorbala S., Karthikeyan G., Lu B., Sinitsyn V., Ansheles A. A., Kudo T., Bucciarelli-Ducci C., Norgaard B. L., Maurovich-Horvat P., Campisi R., Milan E., Louw L., Allam A. H., Bhatia M., Sewanan L., Malkovskiy E., Cohen Y., Randazzo M., Narula J., Morozova O., Pascual T. N. B., Pynda Y., Dondi M., Paez D., Hinterleitner G., Lu Y., Xu Z., Hirschfeld C. B., Erinne I., Shetty M., Choi A., Lopez-Mattei J., Parwani P., Goda A., Shirka E., Bouyoucef S., Chelghoum L., Mansouri F., Medjahedi A., Naili Q., Ridouh M., Alasia D., Alberghina L., Aramayo N., Buchara D., Busso F. G., Bustos Rivadero J. J., Camilletti J., Campanelli H., Castro R. B., Daicz M., del Riego H., Dragonetti L., Echazarreta D., Erriest J., Faccio F., Facello A., Gallegos H., Geronazzo R., Glait H., Hasbani V., Jager V., Lewkowicz J. M., Lotti J., Maciel N., Masoli O., Mastrovito E., Medus M., Merani M. F., Molteni S., Montecinos M., Parisi G., Sueldo C. P., Perez de Arenaza D., Quintana L., Radzinschi A., Redruello M., Rodriguez M., Rojas H., Acuna A. R., Schere D., Traverso S., Vazquez G., Zeffiro S., Sakanyan M., Beuzeville S., Boktor R., Crowley M., Downie D. A., Dwivedi G., Elison B., Farouque O., Jasper K., Joshi S., Lee J., Lee K., Lui E., Mcconachie P., Meaker J., Nandurkar D., Neill J., O'Rourke E., O'Sullivan P., Pandos G., Premaratne M., Prior D., Rutherford N., Saunders C., Taubman K., Tauro A., Taylor A., Theuerle J., Thomas P., Tow J., Upton A., Vamadevan S., Wayne V., Wegner E. A., Wong D., Younger J., Beitzke D., Feuchtner G., Sommer O., Weiss K., Maroz-Vadalazhskaya N., Tserakhau U., Homans F., Van De Heyning C. M., Araujo R., Soldat-Stankovic V., Stankovic S., Almeida A., Anselmi C., Azevedo G. S. A., Bittencourt M. S., Pianta D. B., Cabeda E., Carreira L., Coelho I., de Amorim Fernandes F., de Lorenzo A., Delgado R., Erthal F., Fernandes F., Fernandes J., Ferreira de Souza T., Foppa M., Matos Alves W. F., Gontijo C., Gottlieb I., Grossman G., Albernaz Siqueira M. H., Nomura C. H., Koga K. H., Lima R., Lopes R., Marcal Filho H. H., Masiero P., Mastrocola L., Menezes de Siqueira M. E., Mesquita C., Naves D., Penna F., Pinto I., Rocha T., Rocha J. L., Rodrigues A., Salioni L., Sanches A., Santos M., Da Silva L. S., Schvartzman P., Matushita C. S., Senra T., Silva M., Soares C. E., Spiro B., Suaide Silva C. E., Torres R., Monte G. U., Vilela A., Villa A. V., Vitola J., Voss T., Waltrick R., Zapparoli M., Naseer H., Garcheva-Tsacheva M., Ouattara T. F., Thou S., Varoeun S., Abikhzer G., Beanlands R., Chetrit M., Dabreo D., Dennie C., Friedrich M., Hafez M. 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V., Liiver A., Larikka M., Uusitalo V., Agostini D., Berger C., Dietz M., Hyafil F., Ohana M., Prigent K., Regaieg H., Sarda-Mantel L., H-Ici D. O., Ayetey H., Angelidis G., Fragkaki C., Fragkiadaki C., Georgoulias P., Koutelou M., Kyrozi E., Lama N., Prassopoulos V., Spartalis M., Zaglavara T., Gonzalez C., Gutierrez G., Maldonado A., Martinez Y., Kovacs A., Szilveszter B., Banthia N., Bhat V., Choudhury P., Chowdekar V. S., Christopher J., Garg T., Goyal N. K., Gupta R. K., Gupta A., Hephzibah J., Jain S., Krupa J., Kumar P., Kumar S., Lalchandani A., Mishra A., Mishra V. D., Mohan P., Ozair A., Pandey S., Parameswaran R., Patel C., Patel T., Patel S., Vimala L. R., Kumar Sarangi D. P., Sengupta S., Sethi A., Sharma A., Sharma A. K., Sharma P., Shrigiriwar A., Singh S., Singh H., Sood A., Verma A., Vyas A., Soeriadi E. A., Bun E., Hutomo F., Syawaluddin H., Yudistiro R., Albadr A., Assadi M., Emami F., Emami-Ardekani A., Farzanehfar S., Jafari R., Manafi-Farid R., Tajik M., Arnson Y., Fuchs S., Goldkorn R., Kennedy J., Leitman M., Shalev A., Acampa W., Albano D., Alongi P., Arnone G., Assante R., Baritussio A., Bauckneht M., Bianco F., Bonfiglioli R., Bovenzi F., Bruno I., Bruno A., Busnardo E., Califaretti E., Casoni R., Censullo V., Chierichetti F., Chiocchi M., Cittanti C., Clemente A., Cuocolo A., De Rimini M. L., De Vincentis G., Della Tommasina V., Dellegrottaglie S., Erba P. A., Evangelista L., Faggi L., Faragasso E., Florimonte L., Frantellizzi V., Gatti M., Gaudiano A., Gelardi F., Gerali A., Gimelli A., Guglielmo M., Leccisotti L., Liga R., Liguori C., Longo G., Maffione M., Marcassa C., Matassa G., Mele D., Mircoli L., Paccagnella A., Pacella S., Padovano F., Pellegrini D., Pergola V., Pugliese L., Quartuccio N., Rampin L., Ricci F., Rubini G., Russo V., Sambuceti G., Scatteia A., Sciagra R., Spidalieri G., Stefanelli A., Tedeschi C., Ventroni G., Baugh D., Madu E., Aikawa T., Asano H., Fujimoto S., Fujise K., Fukushima Y., Fukuyama K., Ichikawa Y., Ideguchi R., Iguchi N., Imai M., Ishimura H., Isobe S., Ito K., Izawa Y., Kadokami T., Kasai T., Kato T., Kawamoto T., Kiryu S., Kumita S., Manabe O., Maruno H., Matsumoto N., Miyagawa M., Moroi M., Nagamachi S., Nakajima K., Nakazato R., Nanasato M., Naya M., Norikane T., Ohta Y., Otomi Y., Otsuka H., Oyama-Manabe N., Saito M., Sarai M., Sato J., Sato D., Shiraishi S., Takanami K., Takehana K., Taniguchi Y., Teragawa H., Tomizawa N., Umeji K., Wakabayashi Y., Yamada S., Yamazaki S., Yoneyama T., Rawashdeh M., Dautov T., Makhdomi K., Abass M., Garashi M., Siraj Q., Kalnina M., Haidar M., Komiagiene R., Kviecinskiene G., Vajauskas D., Karim N. K. A., Doucoure M., Reichmuth L., Samuel A., Dieng M. L., Naojee A. S., Hernandez E. A., Alducin Tellez C. R., Alexanderson-Rosas E., Barragan E., Cabada M., Calderon D., Carvajal-Juarez I., Esparza J., Gama-Moreno M. G., Quinto V. G., Gonzalez N. C., Herrera-Zarza M. C., Meave A., Medina Verdugo J. G., Melendez G., Morales Murguia R. H., Navarro Quiroz C. S., Ornelas M., Preciado-Anaya A., Preciado-Gutierrez O. U., Puente A., Salazar A. R., Rosales Uvera S. G., Rosales-Uvera S., Serna Macias J. A., Sierra-Galan L., Sierra-Galan L. M., Tirado Alderete J. C., Vallejo E., Faraggi M., Sereegotov E., Ben Rais N., Alaoui N. I., Kyiphyu T., Oo S. T., Win S. M., Zar H., Ghimire R., Neupane M., Glaudemans A., Slart R., Verschure D., Allen B., Edmond J., Mckenzie C., Tie S., Van Pelt N., Worthington K., Young C., Soli I. A., Kana S., Onubogu U., Sani M., Braten A. T., Jorgensen A., Vassbotn H. -E., Al Dhuhli H., Jawa Z., Tag N., Fatima S., Imran M. B., Younis M. N., Saadullah M., Malo Y. H., Lenturut-Katal D., Castillo M., Ortellado J., Akhter A., Cader F. A., Hussain R., Khan S. R., Mandal T., Nasreen F., An Y., Cao D., Gong L., Hou Y., Jia C., Li T., Li C., Liu H., Liu W., Liu J., Ng M. -Y., Shi H., Tang C., Wang X., Wang Z., Wang Y., Wu J., Yi Y., Yuan L., Zhang T., Zhang L., Chavez E., Cruz C., Llontop C., Morales R., Abrihan P., Bustos-Barroso A., Duldulao-Ogbac M., Eduarte C., Obaldo J., Quinon A., San Juan B., San Juan C. J., Sauler-Gomez M. R., Uy M., Kostkiewicz M., Kunikowska J., Teresinska A., Urbanik T., Bettencourt N., Fontes-Carvalho R., Gavina C., Goncalves L., Macedo F., Moreno N., Sousa C., Timoteo A. T., Vidigal M. J., Al Heidous M., Ramanathan S., Arnous S., Aytani S., Byrne A., Gleeson T., Kerins D., O'Brien J., Bang J. -I., Bom H., Cheon M., Cheon G. J., Cho S. -G., Hong C. M., Jeong Y. H., Kang W. J., Kang Y. -K., Kim J. -Y., Oh S. W., So Y., Song H. -C., Won K. S., Yoo S. W., Mitevska I., Vavlukis M., Salobir B. G., Stalc M., Benedek T., Pop M., Stan C., Ansheles A., Dariy O., Gagarina N., Itskovich I., Karalkin A., Kokov A., Marina G., Migunova E., Pospelov V., Ryzhkova D., Sayfullina G., Sergienko V., Shurupova I., Vakhromeeva M., Valiullina N., Zavadovsky K., Zhuravlev K., Abazid R., Al Garni T., Alasnag M., Aljizeeri A., Amer H., Amro A., Hamdy H., Smettei O., Saranovic D. S., Vlajkovic M., Keng F., See J., Berecova Z., Mistinova J. P., Evbuomwan O., Govender N., Hack J., Hadebe B., Hlongwa K., Kaplan M., Lakhi H., Milos K., Modiselle M., More S., Muambadzi N., Scholtz L., Barreiro-Perez M., Blanco I., Broncano J., Camarero A., Casans-Tormo I., De Haro J., Flotats A., Garcia E., Mendiguchia C. G., Jimenez-Heffernan A., Leta R., Diaz J. L., Vega L. L., Manovel-Sanchez A., Monzonis A. M., Patrut B., Pubul V., Perez R. R., Zeidan N., Nanayakkara D., Suliman A., Engblom H., Murtadha M., Ostenfeld E., Simonsson M., Alkadhi H., Buechel R. R., Burger P., Grani C., Kamani C., Kawel-Bohm N., Klaeser B., Manka R., Prior J., Kaewchur T., Khiewvan B., Kositwattanarerk A., Namwongprom S., Thientunyakit T., Sayman H. B., Yuksel M., Sebikali M. J., Okello E., Korol P., Noverko I., Satyr M., Ahmad T., Alfakih K., Andrade I., Buckingham S., Bularga A., Carpenter J. -P., Cole G., Cusack D., David S., Davis P., Fairbairn T., Ghosh A., Ramkumar P. G., Hamilton M., Haque F., Hudson B., Johnstone A., Karthikeyan V. J., Kay M., Khan M. A., Kitt J., Low C. S., Mcalindon E., Mccreavy D., Morrissey B., Motwani M., Na D., Nicol E., Patel D., Rodrigues J., Rofe C., Schofield R., Semple T., Sheikh A., Sinha A., Subedi D., Topping W., Tweed K., Underwood S. R., Weir-Mccall J., Zuhairy H., Abbasi T., Abohashem S., Abramson S., Al-Mallah M., Kumar M. A., Balmer-Swain M., Berman D., Bernheim A., Bhatti S., Biederman R., Bieging E., Bingham S., Bloom S., Blue S., Borges A., Branch K., Bravo P., Buddhe S., Budoff M., Bullock-Palmer R., Cahill M., Candela C., Cao J., Chatterjee S., Chatzizisis Y., Chaudhuri N. R., Cheezum M., Chelliah A., Chen T., Chen M., Chen L., Chokshi A., Chung J., Danciu S., DeSisto W., Dilorenzo M., Doukky R., Duvall W., Ferencik M., Foster C., Fuisz A., Gannon M., German D., Gerson M., Geske J., Hage F., Haider A., Haider S., Hamirani Y., Hassen K., Hendel R., Henkel J., Horgan S., Hyun M., Janardhanan R., Jerome S., Kalra D., Kassop D., Kinkhabwala M., Kinzfogl G., Koch B., Koweek L., Krepp J., Kwon Y., Layer J., Lesser J., Leung S., Lisske B., Magurany K., Markowitz J., Mccullough B., Moalemi A., Moffitt C., Montanez J., Moore W., Morayati S., Mossa-Basha M., Mrsic Z., Murthy V., Nagpal P., Nelson K., Nijjar P., O'Quinn R., Passen E., Patil P., Pursnani A., Quachang N., Rabbat M., Ranjan P., Lozano P. R., Schemmer M., Seifried R., Shah N., Shah A., Shanbhag S., Sharma G., Skotnicki R., Sobczak M., Soman P., Sorrell V., Srichai M., Streeter J., Strickland L., Suliman S., Tebyanian N., Thomas D., Thompson R., Uretsky S., Vallurupalli S., Vandyck-Acquah M., Verma V., Villines T., Weinstein J., Wolinsky D., Zareba K., Zgaljardic M., Beretta M., Ferrando R., Kapitan M., Mut F., Djuraev O., Rozikhodjaeva G., Vera L., Duc B. D., Nguyen X. C., and Hiep Nguyen P. M.

Abstract

Background: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown. Objectives: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide. Methods: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery. Results: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians’ psychological stress were significant in predicting recovery of cardiac testing. Conclusions: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.

Published
2022

48. Chemodynamical Properties and Ages of Metal-Poor Stars in S-PLUS

Author

Almeida-Fernandes, F., Placco, V. M., Rocha-Pinto, H. J., Borges Fernandes, M., Limberg, G., Beraldo e Silva, Leandro, Amarante, Joao A. S., Perottoni, H. D., Overzier, R., Schoenell, W., Ribeiro, T., Kanaan, A., Mendes de Oliveira, C., Almeida-Fernandes, F., Placco, V. M., Rocha-Pinto, H. J., Borges Fernandes, M., Limberg, G., Beraldo e Silva, Leandro, Amarante, Joao A. S., Perottoni, H. D., Overzier, R., Schoenell, W., Ribeiro, T., Kanaan, A., and Mendes de Oliveira, C.

Abstract

Metal-poor stars are key to our understanding of the early stages of chemical evolution in the Universe. New multi-filter surveys, such as the Southern Photometric Local Universe Survey (S-PLUS), are greatly advancing our ability to select low-metallicity stars. In this work, we analyse the chemodynamical properties and ages of 522 metal-poor candidates selected from the S-PLUS data release 3. About 92% of these stars were confirmed to be metal-poor ([Fe/H] ≤−1) based on previous medium-resolution spectroscopy. We calculated the dynamical properties of a subsample containing 241 stars, using the astrometry from Gaia Data Release 3. Stellar ages are estimated by a Bayesian isochronal method formalized in this work. We analyse the metallicity distribution of these metal-poor candidates separated into different subgroups of total velocity, dynamical properties, and ages. Our results are used to propose further restrictions to optimize the selection of metal-poor candidates in S-PLUS. The proposed astrometric selection (parallax>0.85 mas) is the one that returns the highest fraction of extremely metal-poor stars (16.3% have [Fe/H] ≤−3); the combined selection provides the highest fraction of very metal-poor stars (91.0% have [Fe/H] ≤−2), whereas the dynamical selection (eccentricity > 0.35 and diskness < 0.75) is better for targetting metal-poor (99.5% have [Fe/H] ≤−1). Using only S-PLUS photometric selections, it is possible to achieve selection fractions of 15.6%, 88.5% and 98.3% for metallicities below −3, −2 and −1, respectively. We also show that it is possible to use S-PLUS to target metal-poor stars in halo substructures such as Gaia-Sausage/Enceladus, Sequoia, Thamnos and the Helmi stream.

Published
2023

49. An MBSE approach to support Knowledge Based Engineering application development

Author

Raju Kulkarni, A. (author), Bansal, D. (author), la Rocca, G. (author), Mendes Fernandes, F. (author), Augustinus, Robin (author), Timmer, Bram (author), Raju Kulkarni, A. (author), Bansal, D. (author), la Rocca, G. (author), Mendes Fernandes, F. (author), Augustinus, Robin (author), and Timmer, Bram (author)

Abstract

This article proposes a novel approach to support Knowledge Based Engineering (KBE) application development based on Model-Based Systems Engineering (MBSE). In this methodology, the related knowledge is captured in a well-structured Systems Modeling Language (SysML) model, instead of (static) documents. The knowledge model is then automatically translated to application (skeleton) code using a model-to-code tool developed in this research. The proposed methodology is applied to a use case at GKN Fokker Elmo for the development of a KBE application to design Electrical Wiring Interconnection Systems (EWIS) architectures for aircraft. The results show that the proposed MBSE approach improves the knowledge acquisition process, reduces the time needed for developing new KBE applications (initial knowledge model and code skeleton) by almost 50%, and enables traceability of requirements within the KBE application and knowledge model. These benefits allow effective project-to-project knowledge transfer while mitigating the black-box effect often experienced by KBE application users. In the next phase of this research, reverse engineering capabilities will also be incorporated to enable code-to-model translation, so as to guarantee the application code and knowledge model synchronization throughout the application's lifetime., Flight Performance and Propulsion

Published
2023
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50. The role of interfaces and morphology on silver diffusion in hard coatings

Author

Cavaleiro, D., (0000-0003-2506-6869) Munnik, F., (0000-0003-3408-3572) Krause, M., Carbo, E., Ferreira, P. J., Cavaleiro, A., Fernandes, F., Cavaleiro, D., (0000-0003-2506-6869) Munnik, F., (0000-0003-3408-3572) Krause, M., Carbo, E., Ferreira, P. J., Cavaleiro, A., and Fernandes, F.

Abstract

One of the main approaches to increase the tool lifetime during dry machining of “hard-to-machine” aerospace alloys is self-lubrication by the incorporation of noble metals in hard matrixes with good mechanical and diffusion barrier properties. In this paper, the diffusion of an Ag-rich layer sandwiched between two layers of either TiN or TiSiN is studied by transmission electron microscopy and in situ Rutherford backscattering spectrometry. The layer stacks were subjected to annealing treatments at 600 ºC and 800 ºC for 2 hours. Three processes were found to control the diffusion of silver: the morphology of the “sandwich” layers, the formation of small voids in the involved interfaces and the sublimation of Ag in the surface at temperatures near the melting point. The study revealed that the dense TiSiN matrix allowed a significantly better control of Ag diffusion than the more open TiN matrix.

Published
2023

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