Cell Indu

Magnetic Monopole Searches

<5E−38 45–102 1 206 e+ e− 1 ABBIENDI 08 OPAL <0.2E−36 200–700 1 1960 pp 2 ABULENCIA 06K CNTR < 2.E−36 1 300 e+ p 3,4 AKTAS 05A INDU < 0.2 E−36 2 300 e+ p 3,4 AKTAS 05A INDU < 0.09E−36 3 300 e+ p 3,4 AKTAS 05A INDU < 0.05E−36 ≥ 6 300 e+ p 3,4 AKTAS 05A INDU < 2.E−36 1 300 e+ p 3,5 AKTAS 05A INDU < 0.2E−36 2 300 e+ p 3,5 AKTAS 05A INDU < 0.07E−36 3 300 e+ p 3,5 AKTAS 05A INDU < 0.06E−36 ≥ 6 300 e...

Indu : an Interval & Duration Network

The signiicance of representing duration information along with the qualitative information of the time intervals is well argued in the literature. A new framework INDU (INterval and DUration) network consisting of 25 basic relations, is proposed here. INDU can handle qualitative information of time interval and duration in one single structure. It inherits many interesting properties of Allen'...

Postweaning and feedlot growth and carcass characteristics of Angus-, gray Brahman-, Gir-, Indu-Brazil-, Nellore-, and red Brahman-sired F1 calves.

Postweaning, feedlot, and carcass data from crossbred calves sired by five Bos indicus breeds and one Bos taurus breed were evaluated. Data included records from F1 calves out of multiparous Hereford cows sired by Angus, Gray Brahman, Gir, Indu-Brazil, Nellore, and Red Brahman bulls. The Zebu crosses grew faster postweaning and were heavier and taller as yearlings than the Angus crosses (P < .0...

Human Cord Blood CD4CD25 Regulatory T Cells Suppress Prenatally Acquired T Cell Responses to Plasmodium falciparum Antigens

Cmsc 351 2 Mathematical Induction

brie y review indu tion through some examples. It usually works as follows. Let T be a theorem (statement that we want to prove). Suppose T in ludes a parameter n whose value an be any natural number (a positive integer). Instead of proving dire tly that T holds for all values of n, we prove the following two onditions: 1. Basis of the indu tion: T holds for n = 1 2. Indu tive Step: For every n...

Maximality of Pre Convex Class in Indu

The importance of modelling duration information with other temporal information has been well argued in the literature of Temporal Constraint Network. All the earlier formulations to model qualitative information are bi-network basedone network for time point and another for the duration. Recently, a new temporal constaint network[in Norman Foo (ed.) LNCS, 1747, pp 291-303, 1999] Interval Dura...