1,720,954 research outputs found
Approximate solutions of the lane-emden equations by ls-svm method
No full textIn this study, approximate solutions of the Lane-Emden differential equation, which plays an important role in the literature, were obtained using the Least Squares Support Vector Machines (LS-SVM) method for both linear and nonlinear cases. The Collocation method was employed to define the constraints in the solution process. The system of equations obtained in the linear case was solved directly to determine the unknown parameters, while the Newton-Raphson method was used to solve the nonlinear equation system. The approximate solutions obtained in the applications considered in this study were compared with the exact solution for the linear case; with the analytical solution for the nonlinear case; and with the Adomian Decomposition Method (ADM) in the final application where no analytical solution exists. The results show that the numerical solutions obtained using the LS-SVM method are highly accurate and consistent with the reference results
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
Adi diferansiyel denklemlerin ortogonal gömme tabanlı yapay sinir ağı çözümleri
Full text linkProviding numerical solutions to differential equations in cases
where analytical solutions are not available is of great
importance. Recently, obtaining more accurate numerical
solutions with artificial neural network-based machine learning
methods are seen as promising developments for numerical
solutions of differential equations. In this paper, a low-cost,
orthogonal embedding-based network with fast training by
simple gradient descent algorithm is proposed to obtain
numerical solutions of differential equations. This architecture
is essentially a two-layer neural network that takes orthogonal
polynomials as input. The efficiency and accuracy of the method
used in this paper are demonstrated in various problems and
comparisons are made with other methods. It is observed that
the proposed method stands out especially when compared
with high-cost solutions.Analitik çözümlerin mevcut olmadığı durumlarda diferansiyel
denklemler için nümerik çözümler elde etmek büyük önem
taşımaktadır. Son zamanlarda, yapay sinir ağı tabanlı makine
öğrenmesi yöntemleriyle daha tutarlı nümerik çözümlerin elde
edilmesi diferansiyel denklemlerin nümerik çözümleri için ümit
verici gelişmeler olarak görülmektedir. Bu makalede,
diferansiyel denklemlerin nümerik çözümlerini elde etmek için
basit gradyan düşüm algoritması ile hızlı eğime sahip düşük
maliyetli bir ortogonal gömme tabanlı ağ önerilmektedir. Bu
mimari, temelde, ortogonal polinomları girdi olarak alan iki
katmanlı bir sinir ağıdır. Bu makalede kullanılan yöntemin
verimliliği ve tutarlılığı, çeşitli problemlerde gösterilmiş ve diğer
yöntemlerle karşılaştırmalar yapılmıştır. Kullanılan yöntemin,
özellikle yüksek maliyetli çözümlerle karşılaştırıldığında öne
çıktığı görülmüştür
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
