50 resultados para Hot-spots


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Customers’ long-term brand relations are crucial drivers of a service brand’s sustainable competitive advantage. This research empirically examines the quality of customer-service brand relationships in the context of an airline’s frequent flyer program. The authors show that service brand relationship quality (BRQ) involves both a hot (based on emotions) and a cold (based on objectrelevant beliefs) component. They find that these two components have different implications for a service brand’s performance and are at least partially driven by different antecedents whose relative importance changes over time. Specifically, cold BRQ is important for word-of-mouth behavior and is strongly driven by partner quality (i.e., the generalized assessment of the brand in its role as a relationship counterpart). Hot BRQ, on the other hand, has a stronger impact on willingness to pay a price premium and consideration set size. In early stages of a customer-brand relationship hot BRQ is more strongly driven by self-congruence (i.e., consumer’s perception of the fit between his/her self and the brand’s personality), in later stages partner quality becomes more relevant. The authors discuss the implications of their findings for the development of BRQ and the implementation of alternative growth strategies in a services context.

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In the framework of the MSSM, we examine several simplified models where only a few superpartners are light. This allows us to study WIMP-nucleus scattering in terms of a handful of MSSM parameters and thereby scrutinize their impact on dark matter direct-detection experiments. Focusing on spin-independent WIMP-nucleon scattering, we derive simplified, analytic expressions for the Wilson coefficients associated with Higgs and squark exchange. We utilize these results to study the complementarity of constraints due to direct-detection, flavor, and collider experiments. We also identify parameter configurations that produce (almost) vanishing cross sections. In the proximity of these so-called blind spots, we find that the amount of isospin violation may be much larger than typically expected in the MSSM. This feature is a generic property of parameter regions where cross sections are suppressed, and highlights the importance of a careful analysis of the nucleon matrix elements and the associated hadronic uncertainties. This becomes especially relevant once the increased sensitivity of future direct-detection experiments corners the MSSM into these regions of parameter space.

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Background: Access to hepatitis B viral load (VL) testing is poor in sub-Saharan Africa (SSA) due toeconomic and logistical reasons.Objectives: To demonstrate the feasibility of testing dried blood spots (DBS) for hepatitis B virus (HBV)VL in a laboratory in Lusaka, Zambia, and to compare HBV VLs between DBS and plasma samples.Study design: Paired plasma and DBS samples from HIV-HBV co-infected Zambian adults were analyzedfor HBV VL using the COBAS AmpliPrep/COBAS TaqMan HBV test (Version 2.0) and for HBV genotypeby direct sequencing. We used Bland-Altman analysis to compare VLs between sample types and bygenotype. Logistic regression analysis was conducted to assess the probability of an undetectable DBSresult by plasma VL.Results: Among 68 participants, median age was 34 years, 61.8% were men, and median plasma HBV VLwas 3.98 log IU/ml (interquartile range, 2.04–5.95). Among sequenced viruses, 28 were genotype A1 and27 were genotype E. Bland–Altman plots suggested strong agreement between DBS and plasma VLs. DBSVLs were on average 1.59 log IU/ml lower than plasma with 95% limits of agreement of −2.40 to −0.83 logIU/ml. At a plasma VL ≥2,000 IU/ml, the probability of an undetectable DBS result was 1.8% (95% CI:0.5–6.6). At plasma VL ≥20,000 IU/ml this probability reduced to 0.2% (95% CI: 0.03–1.7).

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This paper presents a method for attributing regional trends in the frequency of extremely hot days (EHDs) to changes in the frequency of the atmospheric patterns that characterize such extraordinary events. The study is applied to mainland Spain and the Balearic Islands for the extended summers of the period 1958–2008, where significant and positive trends in maximum temperature (Tx) have been reported during the second half of the past century. First, the study area was split into eight regions attending to their different temporal variability of the daily Tx series obtained from the Spain02 gridded data set using a clustering procedure. Second, the large-scale atmospheric situations causing EHDs are defined by circulation types (CTs). The obtainment of the CTs differs from the majority of CT classifications proposed in the literature. It is based on regional series and on a previous characterization of the main atmospheric situations obtained using only some days classified as extremes in the different regions. Three different atmospheric fields (SLP, T850, and Z500) from ECMWF reanalysis and analysis data and combinations of them (SLP–T850, SLP–Z500, and T850–Z500) are used to produce six different CT classifications. Subsequently, links between EHD occurrence in the different regions and CT for all days have been established. Finally, a simple model to relate the trends in EHDsfor each region to the changes in the CT frequency appearance has been formulated. Most regions present positive and significant trends in the occurrence of EHDs. The CT classifications using two variables perform better. In particular, SLP–T850 is the best for characterizing the atmospheric situations leading to EHD occurrences for most of the regions. Only a small number of CTs have significant trends in their frequency and are associated with high efficiency causing EHD occurrences in most regions simultaneously, especially in the northern and central regions. Attribution results show that changes in circulation can only explain some part of the regional EHD trends. The percentage of the trend attributable to changes in atmospheric dynamics varies from 15 to 50 %, depends on the region and is sensitive to the selected large-scale variables.

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The forensic utility of fatty acid ethyl esters (FAEEs) in dried blood spots (DBS) as short-term confirmatory markers for ethanol intake was examined. An LC-MS/MS method for the determination of FAEEs in DBS was developed and validated to investigate FAEE formation and elimination in a drinking study, whereby eight subjects ingested 0.66-0.84 g/kg alcohol to reach blood alcohol concentrations (BAC) of 0.8 g/kg. Blood was taken every 1.5-2 h, BAC was determined, and dried blood spots were prepared, with 50 μL of blood, for the determination of FAEEs. Lower limits of quantitation (LLOQ) were between 15 and 37 ng/mL for the four major FAEEs. Validation data are presented in detail. In the drinking study, ethyl palmitate and ethyl oleate proved to be the two most suitable markers for FAEE determination. Maximum FAEE concentrations were reached in samples taken 2 or 4 h after the start of drinking. The following mean peak concentrations (c̅ max) were reached: ethyl myristate 14 ± 4 ng/mL, ethyl palmitate 144 ± 35 ng/mL, ethyl oleate 125 ± 55 ng/mL, ethyl stearate 71 ± 21 ng/mL, total FAEEs 344 ± 91 ng/mL. Detectability of FAEEs was found to be on the same time scale as BAC. In liquid blood samples containing ethanol, FAEE concentrations increase post-sampling. This study shows that the use of DBS fixation prevents additional FAEE formation in blood samples containing ethanol. Positive FAEE results obtained by DBS analysis can be used as evidence for the presence of ethanol in the original blood sample. Graphical Abstract Time courses for fatty acid ethyl ester (FAEE) concentrations in DBS and ethanol concentrations for subject 1 over a period of 7 h. Ethanol ingestion occured during the first hour of the time course.