_id,doi,title
1607,10.1007/978-3-319-21690-4_9,Faster algorithms for quantitative verification in constant treewidth graphs
1609,10.1007/978-3-662-47666-6_9,The complexity of synthesis from probabilistic components
1610,10.1007/978-3-662-47666-6_10,Edit distance for pushdown automata
1611,10.1002/pro.2721,Construction of a robust and sensitive arginine biosensor through ancestral protein reconstruction
1614,10.1073/pnas.1412996112,Strength and duration of perisomatic GABAergic inhibition depend on distance between synaptically connected cells
1311,10.1137/140960578,Finite speed of propagation and waiting times for the stochastic porous medium equation: A unifying approach
1313,10.4171/IFB/331,Estimates on front propagation for nonlinear higher-order parabolic equations: An algorithmic approach
1314,10.1137/140966654,A posteriori modeling error estimates for the assumption of perfect incompressibility in the Navier-Stokes equation
1316,10.1007/s00205-015-0866-x,"Global existence of renormalized solutions to entropy-dissipating reaction–diffusion systems"
13392,10.1038/nnano.2015.256,Reversible trapping and reaction acceleration within dynamically self-assembling nanoflasks
13393,10.1002/anie.201502419,Orthogonal light-induced self-assembly of nanoparticles using differently substituted azobenzenes
13394,10.1038/nchem.2303,Light-controlled self-assembly of non-photoresponsive nanoparticles
13395,10.1039/c4cc08541h,Dual-responsive nanoparticles that aggregate under the simultaneous action of light and CO2
13396,10.1021/la504291n,Tailoring the properties of surface-immobilized azobenzenes by monolayer dilution and surface curvature
13397,10.1039/c4fd00265b,Magnetic field-induced self-assembly of iron oxide nanocubes
13398,10.1039/c5fd90041g,Field-assisted self-assembly process: General discussion
1383,10.1038/nplants.2015.94,V-ATPase activity in the TGN/EE is required for exocytosis and recycling in Arabidopsis
1399,,On the approximation of intrinsic volumes
1400,,The subclonal evolution of cancer
1401,10.15479/at:ista:1401,Learning with attributes for object recognition: Parametric and non-parametrics views