We revisit classical sieves for computing primes and analyze their performance in the external-memory model. Most prior sieves are analyzed in the RAM model, where the focus is on minimizing both the total number of operations and the size of the working set. The hope is that if the working set fits in RAM, then the sieve will have good I/O performance, though such an outcome is by no means gua...

BACKGROUND Venous thromboembolism is a common condition in hospitalized medical patients. Numerous studies have demonstrated that low molecular weight heparin significantly reduces this risk but, despite this, the use of thromboprophylaxis remains poor. AIM To evaluate the use of an exclusion based risk-assessment model (RAM) for venous thrombosis in improving the uptake of appropriate thromb...

Pervasive computing introduces data management requirements that must be tackled in a growing variety of lightweight computing devices. Personal folders on chip, networks of sensors and data hosted by autonomous mobile computers are different illustrations of the need for evaluating queries confined in hardware constrained computing devices. RAM is the most limiting factor in this context. This...

It is known that in some cases a Random Access Machine (RAM) benefits from having an additional input that is an arbitrary number, satisfying only the criterion of being sufficiently large. This is known as the ARAM model. We introduce a new type of RAM, which we refer to as the Arbitrary Sequence RAM (ASRAM), that generalises the ARAM by allowing the generation of additional arbitrary large nu...

We train a number of neural networks to play games Bowling, Breakout and Seaquest using information stored in the memory of a video game console Atari 2600. We consider four models of neural networks which differ in size and architecture: two networks which use only information contained in the RAM and two mixed networks which use both information in the RAM and information from the screen. As ...

We investigate environmental effects on evolution of cluster galaxies under hierarchical structure formation scenario using combination of a dissipationless N-body simulation and a semi-analytic model of galaxy formation. The N-body simulation enables us to calculate orbits of galaxies in simulated clusters. Therefore we can include stripping of cold gas from the galactic disks by ram pressure ...

Similar to parafoils, ram-air kites are flexible membrane wings inflated by the apparent wind and supported a bridle line system. A major challenge in estimating performance of these using computer model is strong coupling between airflow around wing deformation structure. In this paper, we introduce staggered scheme combining structural finite element solver dynamic relaxation technique with p...

The Requirements Abstraction Model (RAM) helps in managing abstraction in requirements by organizing them at four levels (product, feature, function and component). The RAM is adaptable and can be tailored to meet the needs of the various organizations. Because software requirements are an important source of information for developing high-level tests, organizations willing to adopt the RAM mo...

a crossbreeding experiment involving four iranian fat-tailed sheep breeds, namely kurdi (k), chaal (c), afshari (a) and sanjabi (s) was carried out to determine the ram breed effects on productivity of kurdi fat-tailed ewes (k) under extensive production system. a total of 475 kurdi ewes were mated to 24 rams from four breeds producing 454 lambs including pure kurdi, kk, (116 lambs), afshari × ...