Wireless sensor networks hold great promise as an enabling technology for a variety of applications. Data collection and event detection are two such classes of applica-tions that are broadly representative and which have received considerable attention in the literature. While wireless multi

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Abstract: Assessing sustainability of human activities several aspects need to be taken into account, such as, on the one hand, the temporal and spatial dimensions, on the other hand, the social, economic, environmental and institutional dimensions and the correlations between them. This paper will focus on agri-environmental indicators related to agricultural practices, whose data have been collected through the farm structure survey. In fact these kind of indicators can be used to point out progresses towards sustainability achievement, showing whether new and more sustainable production systems are applied in field. 1 Prepared by Giampaola Bellini, Environmental Statistic and Methodology Unit, ISTAT 1. From agri-environmental indicators to the assessment of agriculture sustainability Indicators represent a powerful tool to measure and/or simply describe specific issues at a specific state or in a dynamic frame. The Driving forces, Pressures, State, Impacts and Responses framework has been basically widely adopted to describe relationships between human activities and environment. The principle behind it is that any activity represents a flow of energy or material within the system whose effect can be seen as depletion of natural resources. While Pressure, State

Abstract—The purpose of this experiment was to see whether any correla-tion could be found between the expression of emotions of patients in Reichi-an biopsychiatric therapy and the output of an electronic random event gen-erator (REG). Videotaping and coding of therapy sessions were conducted

We present a way of introducing joint distibution function and its marginal distribution functions for non-compatible observables. Each such marginal distribution function has the property of commutativity. Models based on

Data from experiments that use random event generators are usually analyzed by classical (frequentist) statistical tests, which summarize the statistical significance of the test statistic as a p-value. However, classical statistical tests are frequently inappropriate to these data

is determined by the current network state based on the reliability achieved and congestion condition in the network. This self-configuring nature of ESRT makes it robust to random, dynamic topology in WSN. Furthermore, ESRT can also accommodate multiple concurrent event occurrences in a wireless sensor field

chemical reactions that is also efficient: it (a) uses only a single random number per simulation event, and (b) takes time proportional to the logarithm of the number of reactions, not to the number of reactions itself. The Next Reaction Method is extended to include timedependent rate constants and non

Abstract-Research has documented that intention can be associated with deviations in an electronic Random Event Generator (REG). The present set of five experiments examined correlates of changes in the REG with two aspects of absorption, perceived depth (depth) and distortions of time perception

-linear in the number of subscriptions, and it has a space complexity that is linear. Specifically, we prove that for predicates reducible to conjunctions of elementary tests, the expected time to match a random event is no greater than O#N # where N is the number of subscriptions, and # is a closed-form expression