12,332 research outputs found

    Modulated Pencil-Drawn U-Shaped Piezoresistive Graphite on Compound Fibers for Wind Sensing

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    The design, fabrication, analysis and measurement of the modulated pencil-drawn U-shaped piezoresistive graphite on paper compound fibers and its application for wind speed sensing are reported. We found that pencil drawing was a facile method for producing an ultrafine graphite film through the friction between the pencil leads and paper fibers. The pencil-drawn graphite was characterized by Raman spectroscopy and x-ray diffraction. The resistance of the patterned graphite sensor showed a decrease or an increase due to compression or tension bending, respectively, of the paper cantilever substrate. The wind impacting onto the flexible paper substrate with negative and positive speeds resulted in a bending compression or tension that was related to the resistance measured from the sensor. It was demonstrated that the resistance of a 10-mm -ide line of the U-shaped graphite on the paper substrate was 24k at approximate to 40 degrees and 45k at approximate to-40 degrees. Furthermore, we found that the graphite patterned on paper substrate with a small line width, such as 3mm, showed good linearity for the relationship between the measured resistance and the wind speed.

    Robust mixture regression model fitting by Laplace distribution

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    A robust estimation procedure for mixture linear regression models is proposed by assuming that the error terms follow a Laplace distribution. Using the fact that the Laplace distribution can be written as a scale mixture of a normal and a latent distribution, this procedure is implemented by an EM algorithm which incorporates two types of missing information from the mixture class membership and the latent variable. Finite sample performance of the proposed algorithm is evaluated by simulations. The proposed method is compared with other procedures, and a sensitivity study is also conducted based on a real data set

    Identification and quantification of anthocyanins in transgenic purple tomato

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    Citation: Su, X., Xu, J., Rhodes, D., Shen, Y., Song, W., Katz, B., … Wang, W. (2016). Identification and quantification of anthocyanins in transgenic purple tomato. Food Chemistry, 202, 184–188. https://doi.org/10.1016/j.foodchem.2016.01.128Anthocyanins are natural pigments derived from the phenylpropanoid pathway. Most tomatoes produce little anthocyanins, but the transgenic purple tomato biosynthesizes a high level of anthocyanins due to expression of two transcription factors (Del and Ros1). This study was to identify and quantify anthocyanins in this transgenic tomato line. Seven anthocyanins, including two new anthocyanins [malvidin-3-(p-coumaroyl)-rutinoside-5-glucoside and malvidin-3-(feruloyl)-rutinoside-5-glucoside], were identified by LC-MS/MS. Petunidin-3-(trans-coumaroyl)-rutinoside-5-glucoside and delphinidin-3-(trans-coumaroyl)-rutinoside-5-glucoside were the most abundant anthocyanins, making up 86% of the total anthocyanins. Compared to undetectable anthocyanins in the wild type, the contents of anthocyanins in the whole fruit, peel, and flesh of the Del/Ros1-transgenic tomato were 5.2 ± 0.5, 5.1 ± 0.5, and 5.8 ± 0.3 g/kg dry matter, respectively. Anthocyanins were undetectable in the seeds of both wide-type and transgenic tomato lines. Such novel and high levels of anthocyanins obtained in this transgenic tomato may provide unique functional products with potential health benefits

    A lack-of-fit test in Tobit errors-in-variables regression models

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    The problem of fitting a parametric model in Tobit errors-in-variables regression models is discussed in this paper. The proposed test is based on the supremum of the Khamaladze type transformation of a certain partial sum process of calibrated residuals. This framework covers the usual error-free Tobit model as a special case. The asymptotic null distribution of this transformed process is shown to be the same as that of a time transformed standard Brownian motion. Consistency against some fixed alternatives and asymptotic power under some local nonparametric alternatives of this test are also discussed. Simulation studies are conducted to assess the finite sample performance of the proposed test

    Author Identification from Song Lyrics

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    Machine Learning (ML) tools have been used extensively in a wide variety of domains recently. Due the enormous amount of data being produced, machine learning techniques are being heavily used to make sense of data & derive meaningful results. Using machine learning tools, we can turn the data into knowledge. Music is one of the truest forms of art. Bangladesh has a great history of music with a great tradition of song writing over centuries. Authorship attribution is the way of identifying the author from a linguistic corpus. This paper demonstrates a guideline to identify the author of a Bengali song from the lyrics of that song using machine learning. This research work presents the first work on machine learning approach for author attribution from the lyrics of a song. Here six methods of machine learning are used for the author identification and high accuracies have been achieved from these methods. It is observed that Naïve Bayes method provides higher accuracy in comparison with the other methods

    Song

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    Author attribution from Rudolph, 240. Printed on yellow paper with black ink. Set to the tune of "Happy land of Canaan". First line "You Rebels come along and listen to my song"

    The Singer or the Song? Developments in Performers' Rights from the Perspective of a Cultural Economist

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    Over the last century, performers gradually acquired statutory protection of their economic and moral rights. These rights are not copyright in the legal sense but neighboring rights and until recently, they were mainly remuneration rights that are collectively administered. With the WPPT (WIPO Performers and Phonograms Treaty), performers now have individual exclusive rights for digital performances; this leads to the question: what has motivated this change – is it a change in the perception of the value of performer or a change brought about by the changing technology of copying or, indeed, a change that reflects different economic costs and benefits? The paper discusses the role of copyright law as an incentive to performers and asks if the economic role of the performer is so different from that of the author. The conclusion is that a complex interaction of the legal regulations, economic conditions and institutional arrangements for administering these new rights will determine the outcome

    Freemasons\u27 Song

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    Song concerning pride in Freemasonryhttps://egrove.olemiss.edu/kgbsides_uk/1560/thumbnail.jp

    Northumberland Election Song

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    A song for a political candidate.https://egrove.olemiss.edu/kgbsides_uk/1899/thumbnail.jp

    Song of Haymakers

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    A song about working in the hayfields during summer.https://egrove.olemiss.edu/kgbsides_uk/1628/thumbnail.jp
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