1,720,992 research outputs found
On Factors Affecting Industrial Development Growth RatesâA Discussion with Comrade Zhu Jiaming
No full textIn the past few months, the unabating high rate of industrial development has, in an acute fashion, presented to theoretical circles the question of how to view the current high growth rate. In his article published in the second issue of the >i>Forum of Young Economists>/i>, Comrade Zhu Jiaming declares that China "already has the preliminary material preconditions for high-speed growth," and that "since 1978, some indexes of economic growth have shown that the period of high-speed growth has already come." This author, however, holds that the problem cannot be explained by looking only at indexes of a few years, and that in order to determine whether or not China has entered a period of high-speed growth, it is necessary to analyze the factors that affect the rate of industrial development and the trend of their changes. The present article is written to invite comments and corrections by Comrade Zhu Jiaming and others.
Multilayered microstructures achieved by a concentration gradient initial condition via spinodal decomposition evidenced in the Ti-Nb multifunctional alloy
No full textMetals with multilayered structures have attracted much attention due to their excellent mechanical and physical properties. While it remains a challenge to achieve nanolayered structures in bulk materials. Spinodal decomposition is an effective and cost-efficient method for producing nano/micro-scale patterns in bulk materials. However, conventional spinodal decomposition usually forms droplet or interpenetrated microstructures, rather than layered structures. From mechanics' point of view, microstructures of materials can be tailored by controlling initial or boundary conditions of equations governing the evolution of microstructures. In this work, by employing computer simulations, we show that nano/micro-layered structures can be achieved in bulk materials by setting a special concentration gradient initial condition upon spinodal decomposition. The mechanism is found to be the "inductive effect" of the multilayered boundary condition induced by the concentration gradient initial condition. The findings of this study provide valuable insights and guidance for developing multilayered materials with desired properties
Accelerating three-dimensional phase-field simulations via deep learning approaches
No full textPhase-field modeling (PFM) is a powerful but computationally expensive technique for simulating three-dimensional (3D) microstructure evolutions. Very recently, integrating machine learning into phase-field simulations provides a promising way to reduce calculation time remarkably. In this study, we propose a deep learning model that combines a convolutional autoencoder with a deep operator network to predict 3D microstructure evolution by using 2D slices of the 3D system. It is found that the deep learning model can shorten the calculation time from 37 min to 3 s after the initial training, while skipping 5-time steps, and reduce the phase-field simulation time by 31% in entire calculation of the evolution process. Interestingly, this model achieves good accuracy in predicting 3D microstructures by utilizing only 2D information. This work demonstrates the efficiency of machine learning in accelerating phase-field simulations while maintaining high accuracy and promotes the application of PFM in fundamental studies
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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