987 research outputs found
sj-doc-2-eso-10.1177_23969873241241885 – Supplemental material for Characteristics and outcomes of cerebral venous thrombosis associated with COVID-19
No full textSupplemental material, sj-doc-2-eso-10.1177_23969873241241885 for Characteristics and outcomes of cerebral venous thrombosis associated with COVID-19 by Adrian Scutelnic, Anita van de Munckhof, Angel T. Miraclin, Sanjith Aaron, Sajid Hameed, Mohammad Wasay, Oxana Grosu, Katarzyna Krzywicka, Mayte Sánchez van Kammen, Erik Lindgren, Tiago Moreira, Roberto Acampora, Alberto Negro, Theodoros Karapanayiotides, Shadi Yaghi, Anna Revert, Elisa Cuadrado Godia, Sebastian Garcia-Madrona, Paolino La Spina, Francesco Grillo, Fabrizio Giammello, Thanh N. Nguyen, Mohamad Abdalkader, Alina Buture, Maria Sofia Cotelli, Nicolas Raposo, Georgios Tsivgoulis, Paolo Candelaresi, Antonio Ciacciarelli, Joshua Mbroh, Tatiana Batenkova, Pasquale Scoppettuolo, Marialuisa Zedde, Rosario Pascarella, Kateryna Antonenko, Espen S. Kristoffersen, Johanna A. Kremer Hovinga, Katarina Jood, Diana Aguiar de Sousa, Sven Poli, Turgut Tatlisumak, Jukka Putaala, Jonathan M. Coutinho, José M. Ferro, Marcel Arnold and Mirjam R. Heldner in European Stroke Journal</p
sj-docx-1-eso-10.1177_23969873241241885 – Supplemental material for Characteristics and outcomes of cerebral venous thrombosis associated with COVID-19
No full textSupplemental material, sj-docx-1-eso-10.1177_23969873241241885 for Characteristics and outcomes of cerebral venous thrombosis associated with COVID-19 by Adrian Scutelnic, Anita van de Munckhof, Angel T. Miraclin, Sanjith Aaron, Sajid Hameed, Mohammad Wasay, Oxana Grosu, Katarzyna Krzywicka, Mayte Sánchez van Kammen, Erik Lindgren, Tiago Moreira, Roberto Acampora, Alberto Negro, Theodoros Karapanayiotides, Shadi Yaghi, Anna Revert, Elisa Cuadrado Godia, Sebastian Garcia-Madrona, Paolino La Spina, Francesco Grillo, Fabrizio Giammello, Thanh N. Nguyen, Mohamad Abdalkader, Alina Buture, Maria Sofia Cotelli, Nicolas Raposo, Georgios Tsivgoulis, Paolo Candelaresi, Antonio Ciacciarelli, Joshua Mbroh, Tatiana Batenkova, Pasquale Scoppettuolo, Marialuisa Zedde, Rosario Pascarella, Kateryna Antonenko, Espen S. Kristoffersen, Johanna A. Kremer Hovinga, Katarina Jood, Diana Aguiar de Sousa, Sven Poli, Turgut Tatlisumak, Jukka Putaala, Jonathan M. Coutinho, José M. Ferro, Marcel Arnold and Mirjam R. Heldner in European Stroke Journal</p
Dataset from fundus images for the study of diabetic retinopathy
No full textThis database containing 1437 color fundus images that were acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, Paraguay.
The acquisition of retinal images was done taking into account a clinical procedure. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Expert ophthalmologists have classified the dataset. These data can help doctors and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages.
The classification of fundus images have been done in 7 categories: 1. No DR signs (711 images), 2. Mild (or early) NPDR (6 images), 3. Moderate NPDR (110 images), 4. Severe NPDR (210 images), 5. Very Severe NPDR (139 images), 6. PDR (116 images) and 7. Advanced PDR (145 images).
If you use the dataset, please cite the paper:
V. E. Castillo Benítez, I. Castro Matto, J. C. Mello Román, J. L. Vázquez Noguera, M. García-Torres, J. Ayala, D. P. Pinto-Roa, P. E. Gardel-Sotomayor, J. Facon, and S. A. Grillo, Dataset from fundus images for the study of diabetic retinopathy, Data in Brief, vol. 36, p. 107068, Jun. 2021. doi: https://doi.org/10.1016/j.dib.2021.10706
O gênero jornalístico notícia: dialogismo e valoração
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão. Programa de Pós-Graduação em Lingüística.O objetivo desta pesquisa é elaborar uma análise descritivo-interpretativa do gênero jornalístico notícia da mídia impressa. A fundamentação teórico-metodológica insere-se na linha da Análise Dialógica de Discurso (ADD) do Círculo de Bakhtin. Com base nesse objetivo 140 notícias, publicadas em jornais de circulação estadual e nacional, a nomear O Estado de S. Paulo, Correio do Povo, Diário Catarinense e Zero Hora, no período de 13 a 20 de dezembro de 2007, nas seções Geral e Nacional, foram analisadas considerando-se a literatura pertinente. A metodologia de análise e apresentação dos dados baseou-se no método sociológico de análise dialógica da linguagem proposto por Bakhtin (2006), e na proposta de Rodrigues (2001) de análise do gênero a partir de suas dimensões social e verbo-visual. A partir da análise da dimensão social, concluímos que o gênero notícia se legitima e se regulariza nas diversas situações sociais que se constroem na esfera social do jornalismo impresso, assim como é consubstanciado por diferentes orientações ideológicas e projeções valorativas que se entrecruzam nas situações enunciativas nessas esferas. Sob essa perspectiva, as notícias apresentam periodicidade diária, público-leitor das classes A, B e C e marcas autorais explícitas e implícitas. A análise da dimensão verbo-visual, a partir da construção lingüística da notícia, revelou que este gênero apresenta diversas regularidades enunciativo-discursivas que se tipificam nas interações e que, por sua vez, relativamente estabilizam os enunciados na forma de gênero: relações dialógicas entre notícias, visadas dialógico-valorativas com determinados efeitos de sentido e projeções estilístico-composicionais específicas do gênero. Em adição à análise da construção lingüística, a investigação acerca da construção imagética da notícia, por sua vez, mostrou que as notícias geralmente apresentam, em sua composicionalidade textual, gêneros intercalados multimodais, como fotografias, mapas e infográficos que não só consubstanciam sua construção e organização textual, como, em adição, direcionam o leitor a determinados efeitos de sentido. Esses resultados indicam a importância de descrever e explicar as diversas práticas discursivas (como a notícia) que se constroem nas diversas esferas sociais, entendendo não apenas como interagimos socialmente por meio de gêneros, mas, principalmente, como os gêneros regulam, legitimam e significam nossas interações. The objective of this work is to elaborate a descriptive and interpretative analysis of the discourse genre news in the press media. The theoretical and methodological basis is the Dialogical Discourse Analysis (DDA) from Mikhail Bakhtin Circle. Based on this general aim, 140 news published in newspapers of national and state circulation, such as O Estado de S. Paulo, Correio do Povo, Diário Catarinense e Zero Hora, from December 13rd to December 20th, 2007, in the sections Geral and Nacional was analyzed considering the literature. The methodology of analysis and data presentation is based on the sociological methodology of dialogical analysis of language proposed by Bakhtin (2006) and Rodrigues (2001) discussions concerning the dimensions of social and verbal-visual dimensions of the genre. The social dimension analysis revealed that the news discourse genre is legitimated and regularized in the several social interaction situations that is constructed in the press journalism social sphere as well is constituted by different ideological orientations and axiological projections that are inter-related in the enunciative situations in these spheres. In this way, the news presents diary circulation, readers from A, B, C classes and author explicit and implicit marks. The verbal-visual dimension analysis through the linguistic construction of the genre revealed that the news presents some specific enunciative-discourse regularities that typified in the social interactions: dialogical relations, dialogical, axiological projections, and style and compositions projections that regulate the genre functioning and constitution. In addition to the linguistic construction, the investigation concerning the news image construction showed that the news is constituted by different multimodal genres like photos, infographics and maps. These findings point out the importance of describing and explaining the several discourse practices (like the news) that are constructed in the different social spheres in order to comprehend not only how we interact socially by genres, but also how the genres regulate, legitimate and mean our social interactions
Electricity demand from national interconnected system of Paraguay and meteorological dataset
No full textCorresponding author. E-mail address: [email protected] (F. Morales-Mareco).Data accessibility.
Repository name: Electricity consumption and meteorological data from Paraguay.
Data identification number: 10.17632/dm78h95ghk.3.
Direct URL to data: https://data.mendeley.com/datasets/dm78h95ghk/3.This article presents a comprehensive dataset integrating hourly electricity demand data from Paraguay's National Interconnected System (SIN) with meteorological records from 2008 to 2022. Electricity demand data were obtained from the National Electricity Administration (ANDE), while meteorological data were sourced from the Global Data Assimilation System (GDAS).
The dataset provides a long-term perspective on trends and patterns, with high-frequency data enabling detailed analyses. Electricity demand data comprise hourly readings measured in megawatts (MW), while the meteorological dataset includes temperature and humidity readings recorded at three-hour intervals. GDAS synthesizes observations from diverse sources, such as weather stations, satellites, and radar systems, and integrates them into a numerical weather forecasting model to deliver a consistent and detailed representation of atmospheric conditions.
This integrated supports robust analyses of the relationship between electricity demand and meteorological variables. Additionally, it offers valuable resources for testing and developing forecasting models, while contributing to the optimization of energy distribution, infrastructure planning, and efficiency improvements in Paraguay's electricity network.Consejo Nacional de Ciencia y TecnologíaPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarroll
Characteristics and outcomes of cerebral venous thrombosis associated with COVID-19.
No full textINTRODUCTION
Previous reports and meta-analyses derived from small case series reported a mortality rate of up to 40% in patients with coronavirus disease 2019 associated cerebral venous thrombosis (COVID-CVT). We assessed the clinical characteristics and outcomes in an international cohort of patients with COVID-CVT.
PATIENTS AND METHODS
This was a registry study of consecutive COVID-CVT patients diagnosed between March 2020 and March 2023. Data collected by the International Cerebral Venous Thrombosis Consortium from patients with CVT diagnosed between 2017 and 2018 served as a comparison. Outcome analyses were adjusted for age and sex.
RESULTS
We included 70 patients with COVID-CVT from 23 hospitals in 15 countries and 206 controls from 14 hospitals in 13 countries. The proportion of women was smaller in the COVID-CVT group (50% vs 68%, p < 0.01). A higher proportion of COVID-CVT patients presented with altered mental state (44% vs 25%, p < 0.01), the median thrombus load was higher in COVID-CVT patients (3 [IQR 2-4] vs 2 [1-3], p < 0.01) and the length of hospital stay was longer compared to controls (11 days [IQR 7-20] vs 8 [4-15], p = 0.02). In-hospital mortality did not differ (5/67 [7%, 95% CI 3-16] vs 7/206 [3%, 2-7], aOR 2.6 [95% CI 0.7-9]), nor did the frequency of functional independence after 6 months (modified Rankin Scale 0-2; 45/58 [78%, 95% CI 65-86] vs 161/185 [87%, 81-91], aOR 0.5 [95% CI 0.2-1.02]).
CONCLUSION
In contrast to previous studies, the in-hospital mortality rate and functional outcomes during follow-up did not differ between COVID-CVT patients and the pre-COVID-19 controls
Adjacent Inputs With Different Labels and Hardness in Supervised Learning
No full textAn important aspect of the design of effective machine learning algorithms is the complexity analysis of classification problems. In this paper, we propose a study aimed at determining the relation between the number of adjacent inputs with different labels and the required number of examples for the task of inducing a classification model. To this aim, we first quantified the adjacent inputs with different labels as a property, using a measure denoted as Neighbour Input Variation (NIV). We analyzed the relation that NIV has to random data and overfitting. We then demonstrated that a threshold of NIV may determine if a classification model can generalize to unseen data. We also presented a case study aimed at analyzing threshold neural networks and the required first hidden layer size in function of NIV. Finally, we performed experiments with five popular algorithms analyzing the relation between NIV and the classification error on problems with few dimensions. We conclude that functions whose similar inputs have different outputs with high probability, considerably reduce the generalization capacity of classification algorithms
Evidence of W gamma gamma Production in pp Collisions at root s=8 TeV and Limits on Anomalous Quartic Gauge Couplings with the ATLAS Detector
No full textPublished by the American Physical Society under the terms of
the Creative Commons Attribution 3.0 License. Further distribution
of this work must maintain attribution to the author(s) and
the published article’s title, journal citation, and DOISCOAP
Dataset of fundus images for the diagnosis of ocular toxoplasmosis
No full textToxoplasmosis chorioretinitis is commonly diagnosed by an ophthalmologist through the evaluation of the fundus images of a patient. Early detection of these lesions may help to prevent blindness. In this article we present a data set of fundus images labeled into three categories: healthy eye, inactive and active chorioretinitis. The dataset was developed by three ophthalmologists with expertise in toxoplasmosis detection using fundus images. The dataset will be of great use to researchers working on ophthalmic image analysis using artificial intelligence techniques for the automatic detection of toxoplasmosis chorioretinitis
Search for dark matter produced in association with a hadronically decaying vector boson in pp collisions at =13 TeV with the ATLAS detector
No full textSee paper for full list of authors - 10 pages plus author list + cover pages (30 pages total), 5 figures, 2 tables, submitted to PLB, All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/EXOT-2015-08/International audienceA search is presented for dark matter produced in association with a hadronically decaying W or Z boson using 3.2 /fb of pp collisions at =13 TeV recorded by the ATLAS detector at the Large Hadron Collider. Events with a hadronic jet compatible with a W or Z boson and with large missing transverse momentum are analysed. The data are consistent with the Standard Model predictions and are interpreted in terms of both an effective field theory and a simplified model containing dark matter
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