51 resultados para Experimental test


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Objectives: To investigate changes in the levels of the neuropeptides substance P (SP)and vasoactive intestinal peptide (VIP) in gingival crevicular fluid (GCF) during the development of gingival inflammation. Methods: Ten female volunteers completed an experimental gingivitis study. Clinical indices were recorded during an 18-day period of plaque accumulation after a further 10 days following the restoration of normal oral hygiene. 30-second GCF samples were taken periodically from two test and two control sites per subject using periopaper and stored at -70C prior to analysis. Radioimmunoassay was used to quantify SP- and VIP-like immunoreactivity (SP-LI, VIP-LI). Results: Gingival inflammation developed at test sites with increases in the plaque index, gingival index and bleeding on probing. Gingival health was restored following resumption of normal oral hygiene measures. At control sites SP-LI and VIP-LI remained low throughout the study period. At experimental gingivitis sites the mean amounts of SP-LI/30s rose from 3.9pg on day 0 to 37.7 pg, 64.9 pg and 61.8 pg by days 7, 14 and 18, before falling to 5.6 pg on day 28. Mean amounts of VIP-LI/30s rose from 102.8pg on day 2 to 727.6 pg and 853.5 pg on days 11 and 16, before falling to 371.4 pg by day 28. VIP was present in higher levels than SP in the GCF from both healthy and inflamed sites. SP levels rose more rapidly than VIP. Conclusions: There was a significant increase in SP and VIP in GCF paralleling the development of gingival inflammation.

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Objective: To evaluate temporal changes in GCF levels of substance P, cathepsin G, interleukin 1 beta (IL-1&beta), neutrophil elastase and alpha1-antitrypsin (&alpha1AT) during development of and recovery from experimental gingivitis. Methods: Healthy human volunteers participated in a split-mouth study: experimental gingivitis was induced using a soft vinyl splint to cover test teeth during brushing over 21 days, after which normal brushing was resumed. Modified gingival index (MGI), gingival bleeding index (BI) and modified Quigley and Hein plaque index (PI) were assessed and 30-second GCF samples taken from 4 paired test and contra-lateral control sites in each subject at days 0, 7, 14, 21, 28 and 42. GCF volume was measured and site-specific quantification of one analyte per GCF sample was performed using radioimmunoassay (substance P), enzyme assay (cathepsin G) or ELISA (IL-1&beta, elastase, &alpha1AT). Site-specific data were analysed using analysis of repeated measurements and paired sample tests. Results: 56 subjects completed the study. All measurements at baseline (day 0) and at control sites throughout the study were low. Clinical indices and GCF volumes at the test sites increased from day 0, peaking at day 21 (difference between test and control for PI, BI, MGI and GCF all p<0.0001) and decreased again to control levels by day 28. Levels of four inflammatory markers showed a similar pattern, with significant differences between test and control apparent at 7 days (substance P p=0.0015; cathepsin G p=0.029; IL-1&beta p=0.026; elastase p=0.0129) and peaking at day 21 (substance P p=0.0023; cathepsin G, IL-1&beta and elastase all p<0.0001). Levels of &alpha1AT showed no apparent pattern over the course of the study. Conclusion: GCF levels of substance P, cathepsin G, IL-1&beta and neutrophil elastase have the potential to act as early markers of experimentally-induced gingival inflammation.

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A meta-analysis was undertaken on a form of cooperative learning, peer tutoring. The effects of experimental design on outcomes were explored, as measured by Effect Size (ES). Forty three articles with 82 effect size studies were included in the meta-analysis. Highest ES were reported for quasi-experimental studies. ES reduced as experimental design moved from single pre-test factor matched, to multiple-factor matched randomized controlled trials. ES reduced when designs used standardised, rather than self-designed measures. The implications for future meta-analyses and research in cooperative learning are explored.

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This paper investigates the potential improvement in signal reliability for indoor off-body communications channels operating at 5.8 GHz using switched diversity techniques. In particular we investigate the performance of switch-and-stay combining (SSC), switch-and-examine combining (SEC) and switch-and-examine combining with post-examining selection (SECps) schemes which utilize multiple spatially separated antennas at the base station. During the measurements a test subject, wearing an antenna on his chest, performed a number of walking movements towards and then away from a uniform linear array. It was found that all of the considered diversity schemes provided a worthwhile signal improvement. However, the performance of the diversity systems varied according to the switching threshold that was adopted. To model the fading envelope observed at the output of each of the combiners, we have applied diversity specific equations developed under the assumption of Nakagami-$m$ fading. As a measure of the goodness-of-fit, the Kullback-Leibler divergence between the empirical and theoretical probability density functions (PDFs) was calculated and found to be close to 0. To assist with the interpretation of the goodness-of-fit achieved in this study, the standard deviation, $\sigma$, of a zero-mean, $\sigma^2$ variance Gaussian PDF used to approximate a zero-mean, unit variance Gaussian PDF is also presented. These were generally quite close to 1 indicating that the theoretical models provided an adequate fit to the measured data.

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The viscosity of ionic liquids (ILs) has been modeled as a function of temperature and at atmospheric pressure using a new method based on the UNIFAC–VISCO method. This model extends the calculations previously reported by our group (see Zhao et al. J. Chem. Eng. Data 2016, 61, 2160–2169) which used 154 experimental viscosity data points of 25 ionic liquids for regression of a set of binary interaction parameters and ion Vogel–Fulcher–Tammann (VFT) parameters. Discrepancies in the experimental data of the same IL affect the quality of the correlation and thus the development of the predictive method. In this work, mathematical gnostics was used to analyze the experimental data from different sources and recommend one set of reliable data for each IL. These recommended data (totally 819 data points) for 70 ILs were correlated using this model to obtain an extended set of binary interaction parameters and ion VFT parameters, with a regression accuracy of 1.4%. In addition, 966 experimental viscosity data points for 11 binary mixtures of ILs were collected from literature to establish this model. All the binary data consist of 128 training data points used for the optimization of binary interaction parameters and 838 test data points used for the comparison of the pure evaluated values. The relative average absolute deviation (RAAD) for training and test is 2.9% and 3.9%, respectively.