Research papers

Magnetic structure of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>A</mml:mi> <mml:mo>≤</mml:mo> <mml:mn>10</mml:mn> </mml:mrow> </mml:math> nuclei using the Norfolk nuclear models with quantum Monte Carlo methods

G. Chambers-Wall, Alex Gnech, G. B. King, Saori Pastore, M. Piarulli, R. Schiavilla, R. B. Wiringa

This paper presents a new detailed study of magnetic moments and form factors of nuclei with mass number $A$ up to 10, based on $a\phantom{\rule{0}{0ex}}b$-$i\phantom{\rule{0}{0ex}}n\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}o$ approaches and chiral effective field theory. The results of quantum Monte Carlo calculations for elastic magnetic form factors show excellent agreement with experimental data out to momentum transfers $q\ensuremath{\approx}3$ fm${}^{\ensuremath{-}1}$. Benchmarking such electroweak current models against available data over a wide range of kinematics allows for accurate predictions, which are very important to disentangle signals of new physics from nuclear physics effects.

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg Ehret, Vasyl Pihur, Khanh-Dung Hoang Nguyen, Dan E. Arking, Gina Hilton, A Chakravarti, Murielle Bochud, P Munroe, Sue…

A second generation human haplotype map of over 3.1 million SNPs

Sarah S. Murray, Dennis G. Ballinger, David R. Cox, David A. Hinds, Laura L. Stuvé, John W. Belmont, Suzanne M. Leal, David …

The systems biology markup language (SBML): a medium forrepresentation and exchange of biochemical network models

Michael Hucka, Andrew Finney, Herbert M. Sauro, Hamid Bolouri, John C. Doyle, Hiroaki Kitano, Adam P. Arkin, B. Bornstein, D…

MOTIVATION: Molecular biotechnology now makes it possible to build elaborate systems models, but the systems biology community needs information standards if models are to be shared, evaluated and developed cooperatively. RESULTS: We summarize the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks. SBML is a software-independent language for describing models common to research in many areas of computational biology, including cell signaling pathways, metabolic pathways, gene regulation, and others. AVAILABILITY: The specification of SBML Level 1 is freely available from http://www.sbml.org/

Expert and Novice Performance in Solving Physics Problems

Jill Larkin, John McDermott, Dorothea P. Simon, Herbert A. Simon

Although a sizable body of knowledge is prerequisite to expert skill, that knowledge must be indexed by large numbers of patterns that, on recognition, guide the expert in a fraction of a second to relevant parts of the knowledge store. The knowledge forms complex schemata that can guide a problem's interpretation and solution and that constitute a large part of what we call physical intuition.