Streams of user-generated content in social media exhibit patterns of collective attention across diverse topics, with temporal structures determined both by exogenous factors and endogenous factors. Teasing apart different topics and resolving their individual, concurrent, activity timelines is a key challenge in extracting knowledge from microblog streams. Facing this challenge requires the u...

to determine the neuropharmacological activity of the leaf extract of croton zambesicus in mice and chicks. the effect of aqueous leaf extract of croton zambesicus on thiopental sodium – induced sleeping time in mice, on gross locomotor activity (gla) in 2-day old chicks and effect of extract on apomorphine - induced stereotyped behavior in chicks were evaluated. the aqueous extract (1000 and 1...

CONTENTS 1. Introduction 2. Measurement and methodology 2.1 The definition of fixed capital stock 2.2 The perpetual inventory method 2.3 The lifetime and age of capital stock 3. Privatisation and the institutional classification of capital stock 4. Growth in real fixed capital stock 5. The composition of fixed capital stock 5.1 Fixed capital stock by kind of economic activity 5.2 Fixed capital ...

Many sensor network applications are concerned with discovering interesting patterns among observed real-world events. Often, only limited apriori knowledge exists about the patterns to be found eventually. Here, raw streams of sensor readings are collected at the sink for later offline analysis – resulting in a large communication overhead. In this paper, we explore the use of in-network data ...

In the paper a detailed analysis of the dynamic response of a cooling tower shell to mining tremors originated from two main regions of mining activity in Poland (Upper Silesian Coal Basin and Legnica-Glogow Copper District) was presented. The representative time histories registered in the both regions were used as ground motion data in calculations of the dynamic response of the structure. It...

The activity of reengineering and maintaining large legacy systems involves the use of design recovery techniques to produce abstractions that facilitate the understanding of the system. In this paper, we present an approach to design recovery based on data mining. This approach derives from the observation that data mining can discover unsuspected non-trivial relationships among elements in la...

Many sensor network applications are concerned with discovering interesting patterns among observed real-world events. Often, only limited apriori knowledge exists about the patterns to be found eventually. Here, raw streams of sensor readings are collected at the sink for later offline analysis – resulting in a large communication overhead. In this position paper, we explore the use of in-netw...