Results 21 to 30 of about 101,990 (257)
Falstaff’s Gluttony, Lust, Avarice, Sloth and Pride in Henry IV Part I
This paper aims at looking at Shakespeare’s character Falstaff through the prism of some of the seven deadly sins. The paper doesn’t claim that it explores all the sins present in Falstaff’s personality. The main sins that this paper examines in Falstaff’
Iliev Krste
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With regard to the issue of the forgiveness of sins in the Heidelberg Catechism, this paper shows that not only was there agreement and the same basic approach to issues of faith to be found in the commentaries of Ursinus and Olevianus, but also a ...
Pieter C. Potgieter
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A modern concept of assessing tumor lesions of the spine, NOMS, adapted to the conditions of emergency care is presented as a part of a systematic review of the literature.
Mikhail A. Mushkin +2 more
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Swine Inflammation and Necrosis Syndrome can lead to severe clinical signs, especially in tails, ears, teats, and claws in pigs. Clinical and histopathological findings in newborn piglets with intact epidermis indicate a primarily endogenous etiology ...
Robert Ringseis +8 more
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The USBL (Ultra-Short Base Line) positioning system is widely used in underwater acoustic positioning systems due to its small size and ease of use. The traditional USBL positioning system is based on ‘slant range and azimuth’.
Jinwu Tong +5 more
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Aquinas’ Summae Theologiae and the moral instruction in the 13th century
We analyzed part of Suma Theologiae’s Vices and Sins by Thomas Aquinas (1224? -1274). We intended to highlight and consider aspects related to the knowledge production, education and moral formation of novices from the Order of Preachers in the ...
Igor Salomão Teixeira
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Quantitative Analysis of Effects on SINS-Aided GNSS Tracking Loop Performance [PDF]
Compared with the conventional SINS/GNSS loose and tight integration, the SINS/GNSS ultra-tight integration navigation system employs SINS aided GNSS receiver tracking loop.
Lin Jingjie, Wang Xinlong
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How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Deep Learning is currently used to perform multiple tasks, such as object recognition, face recognition, and natural language processing. However, Deep Neural Networks (DNNs) are vulnerable to perturbations that alter the network prediction, named ...
Joana C. Costa +3 more
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Speakers - SINGAPORE'S INTERNATIONAL NEUROSCIENCE SUMMIT (SINS 2019)
Speakers - SINGAPORE’S INTERNATIONAL NEUROSCIENCE SUMMIT (SINS ...
SINS 2019
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Key Note - SINGAPORE'S INTERNATIONAL NEUROSCIENCE SUMMIT (SINS 2019)
Key Note - SINGAPORE’S INTERNATIONAL NEUROSCIENCE SUMMIT (SINS ...
SINS 2019
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