is equivalent to making sure its buffer never goes empty. A widely used rule-of-thumb states that each link needs a buffer of size B = RT T × C, where RT T is the average round-trip time of a flow passing across the link, and C is the data rate of the link. For example, a 10Gb/s router linecard needs

Abstract. We introduce the notion of permissiveness in transactional memories (TM). Intuitively, a TM is permissive if it never aborts a transaction when it need not. More specifically, a TM is permissive with respect to a safety property p if the TM accepts every history that satisfies p

-views. The theoretical and therapeutic implications of these findings are discussed. Max made his living robbing convenience stores. He never completed high school and spent a considerable portion of his adult life in a state penitentiary. Yet his pride and self-confidence revealed that he considered himself a capable

for a nominal sum. 12 This could be because they have yet to complete their ten-year investment lives. Alternatively, the deterioration in the investment climate and, especially, in the IPO market since the ending of the dot-com and technology booms of the late 1990s may result in these funds never

Summary. The analysis of national mortality trends is critically dependent on the quality of the population, exposures and deaths data that underpin death rates. We develop a framework that allows us to assess data reliability and identify anomalies, illustrated, by way of example, using England & Wales (EW) population data. First, we propose a set of graphical diagnostics that help to pinpoint anomalies. Second, we develop a simple Bayesian model that allows us to quantify objectively the size of any anomalies. Two-dimensional graphical diagnostics and modelling techniques are shown to improve signi-cantly our ability to identify and quantify anomalies. An important conclusion is that signicant anomalies in population data can often be linked to uneven patterns of births in cohorts born in the distant past. In the case of EW, errors of more than 9 % in the estimated size of some birth cohorts can be attributed to an uneven pattern of births. We propose methods that can use births data to improve estimates of the underlying population exposures. Finally, we consider the impact of anomalies on mortality forecasts and annuity values, and nd signicant impacts for some cohorts. Our methodology has general applicability to other population data sources, such as the Human Mortality Database.

The analysis of national mortality trends is critically dependent on the quality of the population, exposures and deaths data that underpin death rates. This paper, using England & Wales population data by way of example, develops a framework that allows us to assess data reliability and identify anomalies. First, we propose a set of graphical diagnostics that help to pinpoint anomalies. Second, we develop a simple model that allows us to quantify objectively the size of any anomalies. An important conclusion is that bigger anomalies can often be linked to uneven patterns of births in cohorts born in the distant past, leading to errors of more than 9 % in the estimated size of some England & Wales birth cohorts. We propose methods that can use the births data from these cohorts to improve estimates of the underlying population exposures.

children living in poor families are eligible to enroll in the program and, today, it serves more than 800,000 children at a cost of around $5,400 per child. (U.S. Administration on Children, Youth, and Families, 1999). While large, the program serves only about two-thirds of eligible children

Technology is everywhere. We live in an information-driven world. People use mobile phones to talk and send text messages. Laptop computers connect to the internet wirelessly. Automatic Teller Machines (ATMs) are connected to bank networks and allow us access to money. Digital Subscriber Lines (DSL

report here symptoms of schizophrenia as measured by Positive and Negative Syndrome Scale in 143 patients with schizophrenia living in the community never treated with antipsychotic drugs. Positive symptoms were more frequent than negative ones. Negative subscale scores correlated negatively

reliance on networks as the key feature of social morphology. While networks are old forms of social organization, they are now empowered by new information/communication technologies, so that they become able to cope at the same time with exible decentralization, and with focused decision