1,721,007 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
Medical Imaging Dataset Management Leveraging Deep Learning Frameworks in Breast Cancer Screening
Full text linkIn the domain of Computer-Aided Diagnosis (CADx) for breast cancer diagnosis through mammography, prevailing models have traditionally been trained and validated using old film-based mammography. However, contemporary U.S. hospital practices involve the utilization of Full Field Digital Mammography (FFDM), offering more detailed images captured at various angles than old film-scanned mammography. Despite this shift, the existing body of research predominantly focuses on old-film based datasets, the implications of FFDM for CADx systems have not been understood. This dissertation addresses the issues emerged from FFDM such as data augmentation between old film-based set and new FFDM whether they are more effective or not, a tremendous size of FFDM dataset, and dataset imbalance issue within cancer image dataset by concentrating on the practical applications of FFDM datasets in breast cancer diagnosis through deep learning models. The central focus of this study is to assess the efficacy of data augmentation when applied to augmented datasets between old film-based mammography and FFDM. Despite the shared domain of mammography, an in-depth investigation into the impact of data augmentation on a binary classifier trained using the augmented dataset from both film-based and FFDM sources is critical. The second issue of FFDM dataset pertains to the substantial file sizes, 2.5 TB (640,000 mammograms) Emory Breast Mammography Dataset (EMBED) is a typical example. Conventional compression algorithms prove inadequate, prompting the proposal of a novel Latent Diffusion model (LDM)-based compression and decompression framework. This synthetic image generator demonstrates efficacy in reducing dataset sizes by half, achieving comparable decompression results to lossless algorithms. The third issue to tackle involves addressing the imbalance in cancerous and normal cases within the EMBED dataset, and the solution proposal by the employment of patchwise synthetic data generation. By training Generative Adversarial Networks (GANs) on cancerous image patches and generating synthetic cancerous sub-patches, a balanced dataset is synthesized to evaluate the classifier\u27s performance against the original dataset. This multifaceted research aims to enhance the understanding and utilization of FFDM datasets in CADx systems, offering insights into data augmentation, efficient compression, and balanced dataset creation for improved breast cancer diagnosis
Emerging Crystalline Silicon Photovoltaics based on Strategy of Surface Structuring
Full text linkDepartment of Energy Engineering (Energy Engineering)Crystalline silicon (c-Si) solar cells that convert light into electric energy have been successfully commercialized because of the abundance of material (the second abundant material in Earth???s crust), high stability (lifetime over 20 years), and high efficiency (26.7%). Despite the advantages of the c-Si solar cells, the global electricity production of solar energy is less than 3% because the energy-producing cost of the c-Si solar cells has not reached the grid parity. Also, the installation restriction of the c-Si solar cells leads to the low energy production of the c-Si solar cells. Therefore, as a strategy for expanding power production based on the c-Si solar cells, we must achieve the grid parity through developing high-efficiency and low-cost c-Si solar cells. Also, the development of flexible c-Si solar cells that can be applied to any place is one of the solutions that can increase energy production of the solar cells.
Firstly, in this thesis, I will discuss the development of high-efficiency and low-cost c-Si solar cells by applying a unique surface structure. The vertically aligned microwire structures were fabricated on the c-Si solar cells for the high-efficiency and low-cost solar cells. The microwire structures enable the realization of high-efficiency and low-cost c-Si solar cells because the low-quality c-Si can be used by forming a radial junction with high light absorption property. However, the reported microwires based c-Si solar cells showed low efficiency (less than 15% efficiency) compared to that of the commercialized c-Si solar cells due to the light absorption limit, low carrier collection efficiency, and high recombination process. To realize the high-efficiency microwires c-Si solar cells, we designed nano/micro hybrid structures, tapered microwires, microgrid electrodes, and surface passivation. Secondly, the research on the development of highly efficient and flexible c-Si solar cells that cannot be realized in the existing c-Si solar cells will be discussed. To develop the flexible c-Si solar cells, the thin c-Si substrates of less than 50 ??m thick were used. The thin c-Si substrate showed excellent flexibility of less than 10 mm bending radius. However, the thin c-Si solar cells have difficulty in achieving high efficiency due to high surface reflection and low light absorption characteristics at the long-wavelength range. Therefore, unique surface structures with stable flexibility are required for the highly efficient flexible c-Si solar cells. In this thesis, I devised the two concepts for the development of flexible c-Si solar cells. Firstly, the vertically aligned microwire structures were formed on the thin c-Si solar cells. Secondly, surface structured transparent polymer film was attached on the thin c-Si solar cells. I believe that the research results of this thesis would contribute to the expansion of the energy production of the c-Si solar cells.clos
A high-performance nanoporous Si/Al2O3 foam lithium-ion battery anode fabricated by selective chemical etching of the Al-Si alloy and subsequent thermal oxidation
No full textNanostructured micrometer-sized Al-Si particles are synthesized via a facile selective etching process of Al-Si alloy powder. Subsequent thin Al2O3 layers are introduced on the Si foam surface via a selective thermal wet oxidation process of etched Al-Si particles. The resulting Si/Al2O3 foam anodes exhibit outstanding cycling stability (a capacity retention of 78% after 300 cycles at the C/5 rate) and excellent rate capability.close1
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