Abstract
Web search engines are powerful tools used to satisfy specific information needs on the web. Their purpose is to maximize user satisfaction when performing this task. Although there are other sources of evidence, besides text, to characterize document relevance for a specific need, current search engines do not allow users to explore these features when posing a query. Search engine queries are based almost exclusively on keywords. It is possible to improve user satisfaction if HTML tags and document metadata are available to users at query time. In this paper we present Xearch, a meta-search system that wraps public search engines in a framework that improves both the expressiveness of the language available for the user to specify information needs and the control over the answer format. Xearch converts HTML pages to a specific XML Schema, covering text and metadata derived from HTML. User queries can then be specified through a set of keywords but also explore documents' HTML tags and metadata. Results from our experimental evaluation confirm that it is possible to improve the answer quality with this framework.

Abstract

Abstract
Failure detection in telecommunication networks is a vital task. So far, severalsupervised and unsupervised solutions have been provided for discovering failures insuch networks. Among them unsupervised approaches has attracted more attentionsince no label data is required. Often, network devices are not able to provideinformation about the type of failure. In such cases the type of failure is not knownin advance and the unsupervised setting is more appropriate for diagnosis. Amongunsupervised approaches, Principal Component Analysis (PCA) is a well-knownsolution which has been widely used in the anomaly detection literature and canbe applied to matrix data (e.g. Users-Features). However, one of the importantproperties of network data is their temporal sequential nature. So considering theinteraction of dimensions over a third dimension, such as time, may provide us betterinsights into the nature of network failures. In this paper we demonstrate the powerof three-way analysis to detect events and anomalies in time-evolving network data.

Abstract
The purpose of the present study was to measure the intradiscal pressure signal of an anesthetized sheep under spontaneous breathing. An ultra-miniature fiber optic high-pressure sensor was implanted into the nucleus pulposus of the fifth lumbar intervertebral using a dorsolateral transforaminal approach. Results suggested the periodicity of the intradiscal pressure signal was similar to the mean respiratory rate of the animal. The average resting intradiscal pressure was also calculated and compared to available data. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)

Abstract
A review in fiber post-processing for sensing applications is presented. The review is divided in three parts. Tapers devices, chemical etching for Fabry-Perot cavities and focused ion beam (FIB) as post-processing applied in optical fibers are considered. The most recent results as sensing elements are shown. © 2014 OSA.

Abstract