Summary

• This paper presents a neighborhood graph index approach for query-by-example search using dynamic time warping (DTW) on Gaussian mixture model (GMM) posteriorgram sequences.
• By applying a newly introduced combination of greedy-search (GS) and breadth-first search (BFS) algorithms to the selected k-DR graph index, the proposed method efficiently achieves query-by-example STD.
• Experimental results on the MIT lecture corpus demonstrate that the proposed method works much faster than a state-of-art method by more than one order magnitude, keeping almost the same precision.

• There is no summary for this article.

Summary

• Abstract This paper investigates how ,the age of the knowledge,that firms search affects how innovative they are.
• Two seemingly contradictory propositions are examined: (1) old knowledge hurts by making innovation activities obsolete, and, (2) old knowledge helps because it is more reliable and legitimate, thereby promoting innovation.
• Results based on longitudinal data on 131 robotics firms reconcile the contradictory propositions: while old intra-industry knowledge hurts, old extra-industry knowledge,promotes innovation.

Summary

• We present two methods to select the most relevant features among a large set of acoustic features, for the purpose of estimating the relevance of each feature using the costs of the best alignment path (obtained when performing DTW) and their neighbouring region.
• To prove the validity of these methods, experiments were carried out in four different search on speech scenarios that were used in international benchmarks, namely Albayzin 2014 search on speech evaluation, MediaEval spoken web search SWS 2013, and MediaEval query-by-example search on speech QUESST2014 and QUESST2015.
• A comparison between the proposed methods and other representations such as MFCCs, phonetic posteriorgrams and dimensionality reduction based on principal component analysis, showed that the zero-resource approaches presented in this paper are promising, as they outperformed more extended approaches in all the experimental scenarios.

Summary

• We study weekly search volume data for various search terms from 2004 to 2010 that are offered by the search engine Google for scientific use, providing information about our economic life on an aggregated collective level.
• Both collective 'swarm intelligence' of Internet users and the group of financial market participants can be regarded as a complex system of many interacting subunits that react quickly to external changes.
• We apply a recently introduced method for quantifying complex correlations in time series with which we find a clear tendency that search volume time series and transaction volume time series show recurring patterns.

Summary

• Recently published articles have described criteria to assess qualitative research in the health field in general, but very few articles have delineated qualitative methods to be used in the development of Patient-Reported Outcomes (PROs).
• If documented at all, most PRO validation articles give little for the reader to evaluate the content validity of the measures and the credibility and trustworthiness of the methods used to develop them.
• Increasingly, however, scientists and authorities want to be assured that PRO items and scales have meaning and relevance to subjects.

Summary

• Forty-five percent of students use Google as their first port of call when locating information, with the university library catalogue used by 10 percent of the sample.
• Results of students ’ perceptions of ease of use, success, time taken to search, and reasons for stopping a search are also presented.
• As part of its commitment to developing the use of electronic resources and infrastructures, including the Internet, as an educational resource, the United Kingdom has expended considerable funds to facilitate the convergence of new learning environments with digital library services and to develop a coherent Information Environment (IE) to support higher education (Ingram & Grout, 2002).

Summary

• This article examines operator situation awareness and technical search team interaction using communication analysis.
• The findings indicate that operators spent significantly more time gathering information about the state of the robot and the state of the environment than they did navigating the robot.
• They compensated for this lack of situation awareness by communicating with team members at the site, attempting to gather information that would provide a more complete mental model of the site.

Summary

• We present CisFinder software, which generates a comprehensive list of motifs enriched in a set of DNA sequences and describes them with position frequency matrices (PFMs).
• A new algorithm was designed to estimate PFMs directly from counts of n-mer words with and without gaps; then PFMs are extended over gaps and flanking regions and clustered to generate non-redundant sets of motifs.
• The algorithm successfully identified binding motifs for 12 transcription factors (TFs) in embryonic stem cells based on published chromatin immunoprecipitation sequencing data.

Summary

• This paper surveys recent results in pursuit-evasion and autonomous search relevant to applications in mobile robotics.
• We provide a taxonomy of search problems that highlights the differences resulting from varying assumptions on the searchers, targets, and the environment.
• We highlight current open problems in the area and explore avenues for future work.

• There is no summary for this article.

Summary

• The European Bioinformatics Institute (EMBL-EBI—https://www.ebi.ac.uk) provides free and unrestricted access to data across all major areas of biology and biomedicine.
• We present the EBI Search engine, referred to here as ‘EBI Search’, an easy-to-use fast text search and indexing system with powerful data navigation and retrieval capabilities.
• The interconnectivity that exists between data resources at EMBL-EBI provides easy, quick and precise navigation and a better understanding of the relationship between different data types including sequences, genes, gene products, proteins, protein domains, protein families, enzymes and macromolecular structures, together with relevant life science literature.

Summary

• The Candida Genome Database (CGD, http://www.candidagenome.org/) provides online access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans.
• We describe two recently added features, Candida Biochemical Pathways and the Textpresso full-text literature search tool.
• Textpresso for Candida allows searching through the full-text of Candida-specific literature, including clinical and epidemiological studies.

Summary

• Sponsored search advertising is ascendant — Jupiter Research reports expenditures rose 28 % in 2007 to $8.9B and will continue to rise at a 15 % CAGR, making it one of the major trends to affect the marketing landscape.
• Yet little, if any empirical research focuses upon search engine marketing strategy by integrating the behavior of various agents in sponsored search advertising (i.e., searchers, advertisers, and the search engine platform).
• We assess the effect of allowing advertisers to bid not only on key words, but also by consumers searching histories and demographics thereby creating a more targeted model of advertising.

Summary

• This has led to the additional assumptions that shallow search slopes (at most a few tens of milliseconds per item for target-present trials) are most informative about the underlying process, and that eye movements are an epiphenomenon that can be safely ignored.
• Within fixations, items are processed in parallel, and the functional field of view determines how many fixations are needed.
• It therefore promises a more fundamental understanding of visual search by offering a unified account of both eye movement and manual response behaviour across the entire range of observed search efficiency, and provides new directions for research.

• There is no summary for this article.

Summary

• The existing strategy (randomized controlled trial.pt) is sensitive (93.8%) for identifying CRTs, but has relatively low precision (9%, number needed to read 11); the number needed to read can be halved to 5 (precision 18.4%) by combining with cluster design-related terms using the Boolean operator AND; combining with the Boolean operator OR maximizes sensitivity (99.4%) but would require 28.6 citations read to identify one CRT.
• Only about 50% of CRTs are clearly identified as cluster randomized in titles or abstracts; approximately 25% can be identified based on the reported units of randomization but are not amenable to electronic searching; the remaining 25% cannot be identified except through manual inspection of the full-text article.
• CRTs should include the phrase "cluster randomized trial" in titles or abstracts; this will facilitate more accurate indexing of the publication type by reviewers at the National Library of Medicine, and efficient textword retrieval of the subset employing cluster randomization.

Summary

• Search engines, such as Google and Yahoo! Search, are more than just portals or information tools.
• They are agents of a transformation that is making the business environment more transparent, and thus, potentially more competitive.
• We explore the following topics: (1) what are search engines exactly, (2) what businesses can do with search engines, (3) how are, and how should, senior executives be viewing the strategic impact of search engines, and (4) what are some important research issues for academics and practitioners that would help us gain a better understanding of the strategic impact of search engines.

Summary

• We present the systems that the Natural Language Engineering and Pattern Recognition group (ELiRF) has submitted to the MediaEval 2014 Query by Example Search on Speech task.
• All of them are based on a Subsequence Dynamic Time Warping algorithm and do not use any other information from outside the task (zero-resources systems ).

Summary

• Search engines are rapidly emerging to be the “go-to” sites for consumers to learn more about a product, concept or a term of interest, irrespective of the initial channel in which the interest originated — text, radio, TV, multi-media channels, word of mouth, etc.
• Applying the model in the context of motion pictures, we find that search term usage follows rather predictable patterns in the pre-launch and post-launch periods and the model provides significant power in forecasting release week sales as a function of pre-release search activity.
• With advertising data included in the model, we find that the pre-release search data offers additional explanatory and forecasting power, thus highlighting the ability of the search data to capture other factors, such as possibly word-of-mouth, in impacting early sales.