Radical remodeling of the Y chromosome in a recent radiation of malaria mosquitoes

open28openHall A.B.; Papathanos P.-A.; Sharma A.; Cheng C.; Akbari O.S.; Assour L.; Bergman N.H.; Cagnetti A.; Crisanti A.; Dottorini T.; Fiorentini E.; Galizi R.; Hnath J.; Jiang X.; Koren S.; Nolan T.; Radune D.; Sharakhova M.V.; Steele A.; Timoshevskiy V.A.; Windbichler N.; Zhang S.; Hahn M.W.; Phillippy A.M.; Emrich S.J.; Sharakhov I.V.; Tu Z.J.; Besansky N.J.Hall, A. B.; Papathanos, P. -A.; SHARMA DHAKAL, Apsara; Cheng, C.; Akbari, O. S.; Assour, L.; Bergman, N. H.; Cagnetti, A.; Crisanti, A.; Dottorini, T.; Fiorentini, E.; Galizi, R.; Hnath, J.; Jiang, X.; Koren, S.; Nolan, T.; Radune, D.; Sharakhova, M. V.; Steele, A.; Timoshevskiy, V. A.; Windbichler, N.; Zhang, Shangu; Hahn, M. W.; Phillippy, A. M.; Emrich, S. J.; Sharakhov, I. V.; Tu, Z. J.; Besansky, N. J

Comment on "Prediction of lattice constant in cubic perovskites"

In a recent work by Jiang et al. [J. Phys. Chem. Solids 67 (2006) 1531-1536], the interrelationship between lattice constant, ionic radii and tolerance factor of cubic perovskites has been established and an empirical equation was obtained. However, the assumption of incorrect ionic coordination led to an incorrect mathematical expression even though the average relative errors between predicted and observed lattice constants of 132 materials were below 1%. Here, corrected coefficients for that empirical expression are obtained, which would likely be useful for investigation of general perovskite materials

Intertidal mediterranean coralline algae habitat is expecting a shift toward a reduced growth and a simplified associated fauna under climate change

none13Coralline algae represent the most important bioconstructors in the Mediterranean Sea and are currently impaired by the effects of climate change (CC), particularly by global warming and ocean acidification (OA). We studied the effects of these two drivers on Ellisolandia elongata, an intertidal coralline algae that is known to host a rich biodiversity of associated fauna. We cultured turfs of E. elongata in experimental conditions of increased temperature and OA (using the values of the IPCC scenario RCP- 8.5 expected for 2100: actual mean temperature +3°C and pH = 7.78), and estimated alteration of algal linear growth and community structure, focusing especially on peracarid crustaceans and annelids. Our findings revealed a decrease in linear growth, yet with no significant changes on structural integrity, and a simplification of associated community, in particular for peracarids. Our study contributes to understand community-level response to CC drivers, highlighting the vulnerability of the fauna associated to an important Mediterranean marine habitat.openMarchini A.; Ragazzola F.; Vasapollo C.; Castelli A.; Cerrati G.; Gazzola F.; Jiang C.; Langeneck J.; Manauzzi M.C.; Musco L.; Nannini M.; Zekonyte J.; Lombardi C.Marchini, A.; Ragazzola, F.; Vasapollo, C.; Castelli, A.; Cerrati, G.; Gazzola, F.; Jiang, C.; Langeneck, J.; Manauzzi, M. C.; Musco, L.; Nannini, M.; Zekonyte, J.; Lombardi, C

mplot: An R Package for Graphical Model Stability and Variable Selection Procedures

The mplot package provides an easy to use implementation of model stability and variable inclusion plots (M\"uller and Welsh 2010; Murray, Heritier, and M\"uller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao 2009) for linear and generalised linear models. We provide a number of innovations on the standard procedures and address many practical implementation issues including the addition of redundant variables, interactive visualisations and approximating logistic models with linear models. An option is provided that combines our bootstrap approach with glmnet for higher dimensional models. The plots and graphical user interface leverage state of the art web technologies to facilitate interaction with the results. The speed of implementation comes from the leaps package and cross-platform multicore support.Comment: 28 pages, 9 figure

Very High Precision Determination of Low-Energy Parameters: The 2-d Heisenberg Quantum Antiferromagnet as a Test Case

The 2-d spin 1/2 Heisenberg antiferromagnet with exchange coupling $J$ is investigated on a periodic square lattice of spacing $a$ at very small temperatures using the loop-cluster algorithm. Monte Carlo data for the staggered and uniform susceptibilities are compared with analytic results obtained in the systematic low-energy effective field theory for the staggered magnetization order parameter. The low-energy parameters of the effective theory, i.e.\ the staggered magnetization density ${\cal M}_s = 0.30743(1)/a^2$, the spin stiffness $\rho_s = 0.18081(11) J$, and the spin wave velocity $c = 1.6586(3) J a$ are determined with very high precision. Our study may serve as a test case for the comparison of lattice QCD Monte Carlo data with analytic predictions of the chiral effective theory for pions and nucleons, which is vital for the quantitative understanding of the strong interaction at low energies.Comment: 5 pages, 4 figures, 1 tabl