1,721,018 research outputs found
Introduction to sustainable and alternative ecofuels
No full textAzad, M ORCiD: 0000-0001-8258-6057; Rasul, M ORCiD: 0000-0001-8159-1321This book will help readers develop a deeper understanding of the relevant concepts and solutions to global sustainability issues with the goal of achieving cleaner, more efficient energy
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Robust Speech Filter And Voice Encoder Parameter Estimation using the Phase-Phase Correlator
No full textIn recent years, linear prediction voice encoders have become very efficient in terms of computing execution time and channel bandwidth usage while providing, in the absence of im- pulsive noise, natural sounding synthetic speech signals. This good performance has been achieved via the use of a maximum likelihood parameter estimation of an auto-regressive model of order ten that best fits the speech signal under the assumption that the signal and the noise are Gaussian stochastic processes. However, this method breaks down in the presence of impulse noise, which is common in practice, resulting in harsh or non-intelligible audio signals. In this paper, we propose a robust estimator of correlation, the Phase-Phase correlator that is able to cope with impulsive noise. Utilizing this correlator, we develop a Robust Mixed Excitation Linear Prediction encoder that provides improved audio quality for voiced, unvoiced, and transition speech segments. This is achieved by applying a statistical test to robust Mahalanobis distances for identifying the outliers in the corrupted speech signal, which are then replaced with filtered signals. Simulation results reveal that the proposed method outperforms in variance, bias, and breakdown point three other robust approaches based on the arcsin law, the polarity coincidence correlator, and the median- of-ratio estimator without sacrificing the encoder bandwidth efficiency and the compression gain while remaining compatible with real-time applications. Furthermore, in the presence of impulsive noise, the proposed speech encoder speech perceptual quality also outperforms the state of the art in terms of mean opinion score.Doctor of PhilosophyImpulsive noise is a natural phenomenon in everyday experience. Impulsive noise can be analogous to discontinuities or a drastic change in natural progressions of events. Specifically in this research the disrupting events can occur in signals such as speech, power transmission, stock market, communication systems, etc. Sudden power outage due to lighting, maintenance or other catastrophic events are some of the reasons why we may experience performance degradation in our electronic devices. Another example of impulsive noise is when we play an old damaged vinyl records, which results in annoying clicking sounds. At the time instance of each click, the true music or speech or simply the audible waveform is completely destroyed. Other examples of impulse noise is a sudden crash in the stock market; a sudden dive in the market can destroy the regression and future predictions. Unfortunately, in the presence of impulsive noise, classical methods methods are unable to filter out the impulse corruptions.
The intended filtering objective of this dissertation is specific, but not limited, to speech signal processing. Specifically, research different filter model to determine the optimum method of eliminating impulsive noise in speech. Note, that the optimal filter model is different for time series signal model such as speech, stock market, power systems, etc. In our studies we have shown that our speech filter method outperforms the state of the art algorithms. Another major contribution of our research is in speech compression algorithm that is robust to impulse noise in speech. In digital signal processing, a compression method entails in representing the same signal with less data and yet convey the the same same message as the original signal. For example, human auditory system can produce sounds in the range of approximately 60 Hz and 3500 Hz, another word speech can occupy approximately 4000 Hz in frequency space. So the challenge is, can we compress speech in one of half of that space, or even less. This is a very attractive proposition because frequency space is limited but the wireless service providers desires to service as many users as possible without sacrificing quality and ultimately maximize the bottom line. Encoding impulse corrupted speech produces harsh quality of synthesized audio. We have shown if the encoding is done with the proposed method, synthesized audio quality is far superior to the sate of the art
Interactive Web-based e-learning for Studying Flexible Manipulator Systems
Get PDFAbstractâ?? This paper presents a web-based e-leaning facility for simulation, modeling, and control of flexible manipulator systems. The simulation and modeling part includes finite difference and finite element simulations along with neural network and genetic algorithm based modeling strategies for flexible manipulator systems. The controller part constitutes a number of open-loop and closed-loop designs. Closed loop control designs include the classical, adaptive, and neuro-model based strategies. Matlab software package and its associated toolboxes are used to implement these. The Matlab web server is used as the gateway between the facility and web-access. ASP.NET technology and SQL database are utilized to develop web applications for access control, user account and password maintenance, administrative management, and facility utilization monitoring. The reported facility provides a flexible but effective approach of web-based interactive e-learning facility of an engineering system. This can be extended to incorporate additional engineering systems within the e-learning framework
Investigating the role of coiled-coil domain containing protein 3 (CCDC3), a novel secreted protein, in endothelial inflammation
Get PDFEndothelial inflammation is critical in the initiation and progression of atherosclerosis and other cardiovascular diseases (CVDs). Tumor necrosis factor-α (TNF-α) is a pro-inflammatory cytokine that induces endothelial inflammation via activation of nuclear factor κB (NF-κB) signaling. Coiled-coil domain containing 3 (CCDC3) is a newly identified secretory protein mainly expressed in endothelial cells (ECs) and in adipose tissues. However, the function of CCDC3 in ECs is unclear. A published paper showed that TNF-α downregulates CCDC3 expression in ECs. We therefore investigated the role of CCDC3 in TNF-α-induced inflammatory response in ECs.
In response to inflammation, ECs express adhesion molecules including vascular cell adhesion molecule-1 (VCAM-1) that recruit leukocytes to the sites of infection or injury. In our study we found that stable overexpression of CCDC3 decreased, while stable knockdown of CCDC3 increased TNF-α-induced expression of VCAM-1 at the mRNA and protein levels in ECs. Mechanistically, stable overexpression of CCDC3 decreased TNF-α-induced p65 and p50 nuclear translocation and nuclear NF-κB activity, suggesting that CCDC3 attenuates TNF-α-induced gene expression by inhibiting NF-κB signaling in ECs. Importantly, we found that CCDC3 in the conditioned medium (CM) as well as the purified CCDC3 decreased TNF-α-induced expression of VCAM-1 in receiving ECs, suggesting that CCDC3 has a paracrine/autocrine function. Interestingly, CCDC3 in CM can enter the receiving ECs. Taken together, our work demonstrates that CCDC3 represses TNF-α/NF-κB-induced pro-inflammatory response in ECs, suggesting a potential anti-inflammatory and atheroprotective role of CCDC3 in vascular ECs
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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