1,725,199 research outputs found

    Inpainting galactic foreground intensity and polarization maps using convolutional neural network

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    Deep convolutional neural networks have been a popular tool for image generation and restoration. The performance of these networks is related to the capability of learning realistic features from a large dataset. In this work, we applied the problem of inpainting non-Gaussian signal, in the context of Galactic diffuse emissions at the millimetric and sub-millimetric regimes, specifically Synchrotron and Thermal Dust emission. Both of them are affected by contamination at small angular scales due to extra-galactic radio sources (the former) and to dusty star-forming galaxies (the latter). We consider the performances of a nearest-neighbors inpainting technique and compare it with two novels methodologies relying on generative Neural Networks. We show that the generative network is able to reproduce the statistical properties of the ground truth signal more consistently with high confidence level. The Python Inpainter for Cosmological and AStrophysical SOurces (PICASSO) is a package encoding a suite of inpainting methods described i n this work and has been made publicly available

    Solution of linear discrete ill-posed problems by discretized Chebyshev expansion

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    Large-scale linear discrete ill-posed problems are generally solved by Krylov subspace iterative methods. However, these methods can be difficult to implement so that they execute efficiently in a multiprocessor environment, because some of the computations have to be carried out sequentially. This is due to the fact that only one new basis vector of the Krylov solution subspace is generated in each iteration. It is therefore interesting to investigate the performance of other solution methods that use a solution subspace basis that can be generated in parallel and, therefore, more efficiently on many computers. This paper proposes solution methods that use a solution subspace basis that is made up of discretized Chebyshev polynomials. It compares their performance to a Krylov subspace method that is based on partial Golub-Kahan bidiagonalization of the system matrix, and to a randomized method. The application of a solution subspace basis made up of discretized Chebyshev polynomial is found to be competitive when solving linear discrete ill-posed problems in one space-dimension and for some problems in higher space-dimensions

    A new apterous genus and species of Carventinae from China (Heteroptera: Aradidae)

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    Bai, X., Heiss, E., Cai, W. (2007): A new apterous genus and species of Carventinae from China (Heteroptera: Aradidae). Linzer biologische Beiträge 39 (1): 45-50, DOI: http://doi.org/10.5281/zenodo.540944

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Author Impact: Evaluations, Predictions, and Challenges

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    Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of the author impact evaluation and prediction. Then, we review the recent developments of the author impact evaluation, including data collection, data preprocessing, data analysis, feature selection, algorithm design, and algorithm evaluation. Third, we provide an in-depth literature review on the author impact predictive models and the common evaluation metrics. Finally, we look into the representative research issues, including author impact inflation, unified evaluation standards, academic success gene, identification of the origins of hot streaks, and higher-order academic networks analysis. This paper should help the researchers obtain a broader understanding of the author impact evaluation and prediction and provides future research directions

    Adapting computational thinking scale (CTS) for chinese high school students and their thinking scale skills level

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    The purpose of this study is to adapt the computational thinking scale to Chinese. The study group consists of 1015 students. The study was performed in the descriptive scanning model. The final version of the scale was corrected in line with the opinions of the language experts who received the items translated from Turkish to Chinese. Exploratory and confirmatory factor analyses were calculated to determine the validity of the scale. Later, the distinctiveness forces were calculated. To determine the reliability of the scale internal consistency and stability levels were calculated. It has been concluded that the computational thinking scale is a valid and reliable tool in Chinese culture that can be used to determine high school students' computational thinking skills. In addition, it was concluded that the students' computational thinking skills were quite high. In terms of factors, the students' highest level skills are “Creativity” and the lowest ones are “Problem Solving” and “Algorithmic Thinking”. In terms of total scores and factors, computational thinking skills of male students are higher than female students. But problem solving skills are similar. It was concluded that k10 students' computational thinking skills were higher than k11 students in terms of “Problem Solving”, “Critical Thinking” and total scores. Based on the results obtained from this research and the literature, it is recommended that students frequently take part in activities that aim to improve their Problem Solving and Algorithmic Thinking skills, especially within the context of different courses. © 2019, Ozgen Korkmaz. All rights reserved

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    New records, a synonymy and a new species of Aradus Fabricius, 1803 (Hemiptera: Heteroptera: Aradidae) from China

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    Bai, X., Heiss, E., Cai, W. (2010): New records, a synonymy and a new species of Aradus Fabricius, 1803 (Hemiptera: Heteroptera: Aradidae) from China. Zootaxa 2388 (1): 59-68, DOI: 10.11646/zootaxa.2388.1.5, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.2388.1.

    Fig. 1 in A new apterous genus and species of Carventinae from China (Heteroptera: Aradidae)

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    Fig. 1: Crassocoris hsiaoi sp. nov., holotype. Habitus, dorsal view. Scale bar = 0.85 mm.Published as part of Bai, X., Heiss, E. & Cai, W., 2007, A new apterous genus and species of Carventinae from China (Heteroptera: Aradidae), pp. 45-50 in Linzer biologische Beiträge 39 (1) on page 49, DOI: 10.5281/zenodo.540944
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