9 resultados para Cuervo, Rufino, 1801-1853
em Boston University Digital Common
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http://www.archive.org/details/lifeoffatherdesm00laverich
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Handwritten letter from T. Merritt to Rev. Epaphras "Kible[sic]" regarding the latter's desire for Merritt to take on his preaching circuit citing ailing health. Dated May 12, 1801.
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Handwritten letter from Timothy Merritt to Rev. Epaphras Kibby regarding lodging and preaching schedule. Sent in care of Mr. Lambert. Dated Jan. 11, 1801, Bath, ME.
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http://www.archive.org/details/memoirsandsermon00armsiala
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http://www.archive.org/details/westernmissionsa00smetrich
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http://moa.umdl.umich.edu/cgi/sgml/moa-idx?notisid=AAU8319 View book via University of Michigan
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Boston University Theology Library
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We consider type systems that combine universal types, recursive types, and object types. We study type inference in these systems under a rank restriction, following Leivant's notion of rank. To motivate our work, we present several examples showing how our systems can be used to type programs encountered in practice. We show that type inference in the rank-k system is decidable for k ≤ 2 and undecidable for k ≥ 3. (Similar results based on different techniques are known to hold for System F, without recursive types and object types.) Our undecidability result is obtained by a reduction from a particular adaptation (which we call "regular") of the semi-unification problem and whose undecidability is, interestingly, obtained by methods totally different from those used in the case of standard (or finite) semi-unification.
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A difficulty in lung image registration is accounting for changes in the size of the lungs due to inspiration. We propose two methods for computing a uniform scale parameter for use in lung image registration that account for size change. A scaled rigid-body transformation allows analysis of corresponding lung CT scans taken at different times and can serve as a good low-order transformation to initialize non-rigid registration approaches. Two different features are used to compute the scale parameter. The first method uses lung surfaces. The second uses lung volumes. Both approaches are computationally inexpensive and improve the alignment of lung images over rigid registration. The two methods produce different scale parameters and may highlight different functional information about the lungs.