1,720,954 research outputs found
Integrating Physics Informed Neural Networks with the Finite Element Method for Solving Inverse Problems
Get PDFThis research introduces a novel framework called Finite Element Physics-Informed Neural Networks (FE-PINNs) for solving complex problems in engineering. Building upon the strengths of traditional Physics-Informed Neural Networks (PINNs) and the Finite Element (FE) method, FE-PINN offers an efficient and accurate approach for solving challenging inverse problems in civil engineering. PINNs use neural networks to approximate physical systems while enforcing conformance with the systems\u27 governing equations as a soft constraint during the optimization process, which allows system parameters to be updated alongside the weights of the PINN. FE-PINN extends this approach by using PINNs to solve the system of equations resulting from applying the FE method to potentially complicated real-world systems, while updating unknown system parameters simultaneously with neural network weights. The architecture closely resembles traditional PINNs but exhibits advantages such as faster convergence, reduced data requirements, and simplified loss functions. The effectiveness of FE-PINN is demonstrated through a 2D linear elastic full waveform inversion problem, where it not only accurately estimates elastic modulus values with less than 0.01% error, but also provides an efficient surrogate model which can be used for forecasting. The success of FE-PINN in this simplified problem provides grounds for optimism that it can be applied to more intricate systems - a direction the authors intend to explore in future research endeavors
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Finite Element-Based Physics Informed Neural Networks
Get PDFThis study builds on previous work developing Finite Element-based Physics-Informed Neural Networks (FE-PINNs), which combine the Finite Element (FE) method with Physics-Informed Neural Networks (PINNs) to solve inverse problems. In earlier research, we introduced the FE-PINN framework and demonstrated its effectiveness in performing parameter regression on simple structural models. In this work, we propose a temporally discrete variant, which extends the original method by discretizing the governing equations not only in space but also in time. We compare the performance of both frameworks --Continuous FE-PINN and Discrete FE-PINN -- under varying levels of noise, initialization errors, and available system measurements. Continuous FE-PINN achieved reliable convergence with up to 30\% initialization error and across all tested noise levels. In contrast, Discrete FE-PINN, while more computationally efficient, was sensitive to noise and performed reliably only in homogeneous media. Both methods required at least two measured degrees of freedom (DOFs) for accurate parameter estimation. Continuous FE-PINN is better suited for noisy environments, while Discrete FE-PINN is advantageous in noise-free settings with limited computational resources. These results provide a foundation for applying FE-PINNs to structural analysis and lay the groundwork for future extensions to more complex systems
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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