1,720,959 research outputs found
Multiple Sequence Alignment Menggunakan Nature-Inspired Metaheuristic Algorithms
Multiple sequence alignment adalah proses dasar yang sering dibutuhkan dalam mengolah beberapa sequence yang berhubungan dengan bioinformatika. Apabila multiple sequence alignment telah selesai dikerjakan, maka dapat dilakukan analisis-analisis lain yang lebih jauh, seperti analisis filogenetik atau prediksi struktur protein. Banyaknya kegunaan dari multiple sequence alignment mengakibatkannya menjadi salah satu permasalahan yang banyak diteliti. Banyak algoritma-algoritma metaheuristic yang berdasar pada kejadian-kejadian alami, yang biasa disebut dengan nature-inspired metaheuristic algorithms. Beberapa algoritma baru dalam nature-inspired metaheuristic algorithms yang dianggap cukup efisien antara lain adalah firefly algorithm, cuckoo search, dan flower pollination algorithm. Dalam penelitian ini dipaparkan modified Needleman-Wunsch alignment. Didapatkan hasil bahwa modified Needleman-Wunsch alignment adalah metode yang cukup bagus. Modified Needleman-Wunsch alignment tersebut digunakan untuk membentuk solusi awal dari firefly algorithm, cuckoo search, dan flower pollination algorithm. Didapatkan hasil bahwa firefly algorithm, cuckoo search, dan flower pollination algorithm dapat menghasilkan solusi-solusi baru yang lebih baik. Secara keseluruhan, firefly algorithm adalah algoritma yang terbaik dari tiga algoritma tersebut dalam segi skor alignment, namun membutuhkan waktu komputasi yang lebih besar.
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Multiple sequence alignment is a fundamental tool that often needed to process bioinformatic sequences. If multiple sequence alignment is completed, we can process other further analysis, such as phylogenetic analysis or protein structure prediction. The versatility of multiple sequence alignment led it to be the one of the problems that studied continously. Many metaheuristic algorithms are based on natural events, with the so called nature-inspired metaheuristic algorithms. Algorithms in nature-inspired metaheuristic algorithms that considered to be good are firefly algorithm, cuckoo search, and flower pollination algorithm. In this research, we propose modified Needleman-Wunsch alignment. The results show that modified Needleman-Wunsch alignment is a good method. Modified Needleman-Wunsch alignment is used to create initial solution of firefly algorithm, cuckoo search, and flower pollination algorithm. The results show that firefly algorithm, cuckoo search, and flower pollination algorithm can produce new better solution. Overall, firefly algorithm is the best algorithm among the others in alignment score, but need large computation time
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations
This research introduces an extended application of neural networks for
solving nonlinear partial differential equations (PDEs). A neural network,
combined with a pseudo-arclength continuation, is proposed to construct
bifurcation diagrams from parameterized nonlinear PDEs. Additionally, a neural
network approach is also presented for solving eigenvalue problems to analyze
solution linear stability, focusing on identifying the largest eigenvalue. The
effectiveness of the proposed neural network is examined through experiments on
the Bratu equation and the Burgers equation. Results from a finite difference
method are also presented as comparison. Varying numbers of grid points are
employed in each case to assess the behavior and accuracy of both the neural
network and the finite difference method. The experimental results demonstrate
that the proposed neural network produces better solutions, generates more
accurate bifurcation diagrams, has reasonable computational times, and proves
effective for linear stability analysis.Comment: Accepted for publication in Applied Mathematics and Computatio
Variations on the Author
“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
We 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
We 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
We 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.
Author-wise bibliometric analysis based on entropy.</p
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