1,721,025 research outputs found
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
Molecular dynamics simulation for phonon angular momentum Hall effect via ab initio-based machine learning force field
No full textSimulating the first-principles-based molecular dynamics encounters limitations in capturing the movements of thousands of atoms within 100 picoseconds. Machine learning is employed to extract fields based on atomic data obtained from first-principles molecular dynamics to extend molecular dynamics simulations over longer timeframes. Subsequently, classical molecular dynamics simulations are conducted using the extracted fields to analyze the dynamics of molecules on a large scale. Building upon this, the investigation focuses on the phonon angular momentum Hall effect. This effect refers to the perpendicular accumulation of heat in the direction of temperature change when atoms possess angular momentum. Analogous to the phonon thermal Hall effect, where the topological property Chern number, breaking the time-reversal symmetry of the system, determines the thermal conductivity, it is hypothesized that the phonon angular momentum Hall effect is also related to the Chern number of the molecule. Therefore, the aim is to confirm whether the phonon angular momentum Hall effect is influenced by the molecule's Chern number by comparing the results for BeAu with a Chern number and Au without a Chern number.Maste
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Understanding Charge Density Wave Phase Transition in 1T-TaS2 via Machine Learning Force Field
No full textRecently, the charge density wave (CDW) phases and their properties in various condensed matter systems have been widely studied. In condensed matter, the formation of CDWs and periodic lattice distortions leads to changes in the electronic transport properties. Among these materials, 1T-type tantalum disulfide (1T-TaS2) is a layered material, and its CDW phases indicate a two-step phase transition depending on thickness and temperature. Experimental studies have shown that its physical properties depend on the stacking order of its layers, which affects the CDW phase transitions. However, due to its strong correlation between electronic structure and complex atomic geometry, understanding the CDW phase transition in 1T-TaS2 is challenging from a theoretical perspective. In this study, we investigated the tendency for structural change from molecular dynamics (MD) with the machine learning force field (MLFF), to simulate multiscale dynamics. We extracted a MLFF for a 1T-TaS2 monolayer based on Ab Initio Molecular Dynamics (AIMD) simulation training data on an Angstrom scale. Using this MLFF in MD simulations, we performed large-scale (∼< 100 nm^2) and long-time (∼< ns) simulations of temperature-dependent dynamics. Through these simulations, we discovered CDW phase transitions and domain wall formations at various temperatures and times, and analyzed their atomic composition. Our results not only theoretically predicted the temperature-dependent bulk CDW phase transition of 1T-TaS2, but also observed microscopic dynamics. This suggests that it will provide explanations consistent with previous experimental results. In future studies, our MLFF approach methodology could be applied to investigate bulk 1T-TaS2. Moreover, our findings may contribute to future studies that analyze light-induced hidden phases in 1T-TaS2 in detail, and could be extended to understand CDW phase transitions in other materials.MasterChapter 1. Introduction 1
1.1 Charge Density Wave (CDW) 1
1.1.1 Peierls Transition 1
1.1.2 Charge Density Waves: Materials and experiment 2
1.2 1T-TaS2 3
Chapter 2. Previous Research & Purpose 5
2.1 Previous Research 5
2.2 Purpose 6
Chapter 3. Methodology 8
3.1 Density Functional Theory (DFT) 8
3.1.1 Hatree-Fock (HF) Method 8
3.1.2 Kohn-Sham Equation 9
3.2 Molecular Dynamics (MD) 11
3.2.1 Ab-initio Molecular Dynamics (AIMD) 12
3.3 Machine Learning Force Field (MLFF) 13
3.3.1 Artificial Neural Network (NN) 14
3.3.2 MLFF with Symmetry functions 15
3.4 Computational details 16
Chapter 4. Result & Discussion 17
4.1 Model Evaluation 17
4.2 Atomic composition 18
4.2.1 No transition 18
4.2.2 CCDW-CCDW shift 19
4.2.3 Domain wall 22
4.2.4 NCCDW-ICCDW 22
4.3 Temperature-dependent Analysis 24
4.4 Diffraction Pattern 25
Chapter 5. Conclusion 28
Summary (한글 요약문) 29
Reference (참조문헌) 30
Acknowledgments (감사의 글) 34
Curriculum Vitae (약력) 3
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