نتایج جستجو برای: in parvins debates

تعداد نتایج: 16979517  

2014
Lars P. Hansen Erik Johnson Quentin M. Ramasse Christian Kisielowski Michael Brorson Stig Helveg

1. Haldor Topsøe A/S, Nymøllevej 55, DK-2800 Kgs. Lyngby, Denmark. 2. Nano-Science Center, Niels Bohr Institute, Universitetsparken 5, DK-2100, Copenhagen, Denmark. 3. SuperSTEM Laboratory, STFC Daresbury, Keckwick Lane, Daresbury WA4 4AD, United Kingdom 4. Lawrence Berkeley National Laboratory, National Center for Electron Microscopy and Joint Center for Artificial Photosynthesis, Berkeley CA ...

Journal: :Australasian J. Combinatorics 2016
Norbert Hegyvári Imre Z. Ruzsa

A theorem of Følner asserts that for any set A ⊂ Z of positive upper density there is a Bohr neigbourhood B of 0 such that B \ (A − A) has zero density. We use this result to deduce some consequences about the structure of difference sets of sets of integers having a positive upper density.

Journal: :The International Journal of Press/Politics 2015

Journal: :American Entomologist 2016

1998
H. Päs M. Hirsch S. G. Kovalenko

We present a representation for the long–range part of the general 0νββ decay rate allowed by lorentz–invariance. Combined with the short range part this general parametriza-tion in terms of effective B − L violating couplings will provide the 0νββ limits on arbitrary lepton number violating theories. " One must be prepared for surprises, not anywhere but specifically with the beta decay " (Nie...

Journal: :Social Science Research Network 2022

Journal: :Social science & medicine 1996
D Dingelstad R Gosden B Martin N Vakas

Drug debates normally proceed without scrutiny of why the particular issues being debated are considered the crucial issues. One plausible influence on the terms of debates is the interest groups involved. Four drug debates are addressed in this paper: neuroleptics, drugs in sport, analgesics and marijuana. The key interest groups and their likely influence on the terms of debates are examined....

2008
Seth Myers Stephen Kemmerling

In this paper we tried to predict what a candidate in a political debate (namely George W. Bush) is going to say, based on what the moderator and the other candidate just said. In order to achieve that, we first used PCA to reduce the dimensionality of the problem, and then applied several regression models in order to do the actual predictions. While the PCA turned up some interesting patterns...

Journal: :BMJ 1998
Dixon

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