Results 71 to 80 of about 6,332,991 (207)
“Wish me Health, Kalmyk!” (The Issues of the Textual Aspect, the Materials to the Comments: Part II)
The article discusses some textual aspects of the known by now reconstructions of the early (draft) edition of A.S. Pushkin's address to the Literature and Theatre Society “Green Lamp” (texts dated back to the beginning of 1821 and no later than spring ...
B. Kichikova
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RESPONSE TO ADDRESS OF WELCOME AND PRESIDENTʼS ADDRESS [PDF]
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EZ Encoding: A Class of Irredundant Low Power Codes for Data Address and
In this paper, we introduce a class of irredundant low power encoding techniques for memory address buses. For a data address bus, the proposed encoding techniques make use of two working zones in the memory space whereas for a multiplexed data and ...
Multiplexed Address Buses +1 more
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Microwave photonic sensor systems represent a wide class of information systems with measurement conversion that use standardized analog and parallel links of parallel and sequential type with filtering, allowing to functionally displaying the ...
A.Zh. Sakhabutdinov, O.G. Morozov
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Chapel Address on Matthew 24:14
Recorded in Alumni Memorial Chapel, Southern Baptist Theological Seminary, on December 7, 1983.Address, based on Matthew 24:14, calls on ministers to proclaim the message of Christ faithfully until His ...
Ford, Leighton
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Illuminated address presented to Sir Robert William Chapman [PDF]
Illuminated address presented to Sir Robert William Chapman by his peers and students ‘in recognition of the fiftieth year of your invaluable services on the teaching staff of the University of Adelaide, first as lecturer and for thirty years as ...
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More Than One Encounter: Exploring the Second-Person Perspective and the In-Between
In this essay, I explore the notion of the encounter as a challenge to the second-person perspective. I do so by turning to Jacques Derrida’s account of the encounter with the associated notions of address, second-person perspective, otherness, and the ...
Hansen Bjarke Mørkøre Stigel
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We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-party discourse transcripts.
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