3 MSDF syntax 4 3.1 Modules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.2 Datatype definitions . . . . . . . . . . . . . . . . . . . . . . . 6 3.3 Labels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.4 Semantic transitions . . . . . . . . . . . . . . . . . . . . . . . 10 3.5 Built-in operations on derived and parameterized sets . . . . . 14 3.6 Sequences ...

We consider the problem of computing the distance-dependent two-point function of general planar maps and hypermaps, i.e. the problem of counting such maps with two marked points at a prescribed distance. The maps considered here may have faces of arbitrarily large degree, which requires new bijections to be tackled. We obtain exact expressions for the following cases: general and bipartite map...

We developed a new data analysis strategy, the so-called micro-rheo-mapping technique, based on multiparticle tracking experiments to obtain an accurate and direct visualization of microstructure commercial acrylate thickeners Carbopol-type with high (Ultrez 10), intermediate (ETD 2020), low 2050) degree crosslinking. At polymer concentration, aggregates made several primary Carbopol particles ...

Skewed-associative caches have been shown to statisticaly exhibit lower miss ratios than set-associative caches at equal associativity degrees. But for L1 caches, the performance of a four-way set-associative cache is known to be quite close to that of a 16-way set-associative cache. In this paper, we rst show that BTBs and L2 caches featuring long line size may beneet a lot from a high associa...

Extensive work has been invested in the design of bio-inspired peptide emulsifiers. Yet, none of the formulated surfactants were based on the utilization of the robust conformation and self-assembly tendencies presented by the hydrophobins, which exhibited highest surface activity among all known proteins. Here we show that a minimalist design scheme could be employed to fabricate rigid helical...

recently different approaches have been developed in the field of sensor fault diagnostics based on auto-associative neural network (aann). in this paper we present a novel algorithm called self reconstructing auto-associative neural network (s-aann) which is able to detect and isolate single faulty sensor via reconstruction. we have also extended the algorithm to be applicable in multiple faul...