461 research outputs found
Harnessing customer mindset metrics to boost consumer spending: a cross-country study on routes to economic and business growth
No full textThe relationship between customer mindset metrics (CMMs) and consumer spending has been extensively investigated at the consumer and firm level, but little is known about it at the national level, nor about how it differs between countries. Drawing on five publicly available datasets gathered in 10 European countries over 20 years, our study traces the connections between three CMMs – customer satisfaction, perceived service quality and loyalty intentions – and consumer spending, as well as examining the moderating cross-country effects of culture, socioeconomic factors, economic structure and political–economic elements. The results show that the CMMs significantly influence consumer spending in all the countries studied, with the effects most pronounced in societies with relatively low education levels, a dominant service sector, fewer barriers to business and international trade and a foundation of survival values rather than self-expressive values. Our findings suggest that CMMs can be used to boost not just business performance but also economic growth, and therefore have significant implications for policymakers as well as practitioners and companies
A patch-slot antenna structure for quasioptical multipliers
No full textAn antenna structure based on the combination of one or two slots and a patch is investigated as the basic structure for a millimeter-wave quasi-optical multiplier. This arrangement, on the one hand, is receiving and reradiating the RF, and on the other hand, is acting as a simple frequency and direction filter. Radiation diagrams at both fundamental and harmonic frequencies are presented in a scaled frequency range, showing the potential of this structure for quasi-optical doubler and tripler applications
Enriching Query Flow Graphs with Click Information
No full textThe increased availability of large amounts of data about user search behaviour in search engines has triggered a lot of research in recent years. This includes developing machine learning methods to build knowledge structures that could be exploited for a number of tasks such as query recommendation. Query flow graphs are a successful example of these structures, they are generated from the sequence of queries typed in by a user in a search session. In this paper we propose to modify the query flow graph by incorporating clickthrough information from the search logs. Click information provides evidence of the success or failure of the search journey and therefore can be used to enrich the query flow graph to make it more accurate and useful for query recommendation. We propose a method of adjusting the weights on the edges of the query flow graph by incorporating the number of clicked documents after submitting a query. We explore a number of weighting functions for the graph edges using click information. Applying an automated evaluation framework to assess query recommendations allows us to perform automatic and reproducible evaluation experiments. We demonstrate how our modified query flow graph outperforms the standard query flow graph. The experiments are conducted on the search logs of an academic organisation's search engine and validated in a second experiment on the log files of another Web site. © 2011 Springer-Verlag Berlin Heidelberg
Qualitative and quantitative surface composition of ProTaper, HERO, and K3 nickel-titanium rotare instruments using energy dispersive spectrosopy
No full textEffect of clinical use on the cyclic fatigue resistance of ProTaper nickel-titanium rotary instruments
No full textThe resistance of ProTaper (Dentsply Maillefer, Ballaigues, Switzerland) nickel-titanium rotary instruments to cyclic fatigue was examined after their initial use in straight or curved canals in vivo. These instruments were rotated freely inside a steel phantom until separation. The number of rotations before failure and the lengths of the separated fragments were compared with data derived from new instruments under the same experimental setup (n = 20). With the exception of F1 and F3, instruments previously used in curved canals were more susceptible to cyclic fatigue than those previously used in straight canals (p < 0.05). Separation occurred predominantly at the D10 to D12 level. For the F series, a negative correlation (p < 0.05) was observed between the number of rotations before failure and the file diameters at their separation levels. ProTaper F3 instruments are highly susceptible to cyclic fatigue failure and should be reused with caution irrespective of whether they are initially used for shaping straight or curved canals
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