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Fit Best (fit + best)
Selected AbstractsEFFECT OF THAWING METHODS ON TEXTURAL QUALITY OF SOUS-VIDE STEWED BEEF ASSESSED BY SENSORY AND INSTRUMENTAL ANALYSESJOURNAL OF FOOD QUALITY, Issue 5 2001N.J.N. YAU ABSTRACT This study compared four different thawing methods using sensory test with magnitude estimation, preference test with hedonic scale and physical analyses. The four methods were tap-water, refrigeration, microwave reheating, and boiling-water reheating. For physical analyses, there were differences (p,0.001) among treatments in drip loss and expressible juice. For drip loss, the microwave reheated samples were the highest and the refrigeration and tap-water treated samples were the lowest. For expressible juice, tap-water and refrigerated samples were higher (p,0.01) than the microwave and boiling-water reheated samples. Microwave and boiling-water reheated samples had higher hardness and cheviness and lower juiciness and fiber-looseness. The refrigerated and tap-water thawed samples had reverse sensory properties. Naive panelists preferred the refrigerated and tap-water treated samples to the microwave and boiling-water reheated samples for juiciness, tenderness, and overall preference. Physical parameters from textural profile analysis were not different among the thawing methods. Expressible juice was the best indicator for sensory hardness, juiciness, fiber-looseness and chewiness among the physical parameters. Usually a quadratic regression model fit best when expressible juice was used to predict sensory textural properties. [source] Optimal foraging online: Increasing sensitivity to delayPSYCHOLOGY & MARKETING, Issue 9 2003Diane F. DiClemente This experiment is a replication and extension of the Rajala and Hantula (2000) study of sensitivity to feedback delay while shopping in a simulated Internet mall. The experiment consisted of three conditions: One group had an ascending clock placed on the computer screen to cue the passage of time, another group had a descending clock placed on the computer screen, and as a control and replication condition, another group had no clock on the computer screen. Participants were more sensitive to the delays in the various stores in the cybermall when an ascending clock was present on the screen. A hyperbolic discount function fit best described the number of entries into each store, amount of time spent in each store, and relative number of purchases in each store. A customer-satisfaction survey showed decreasing positive attitudes toward the stores as a function of delay. These results have implications both in terms of foraging theory applied to human behavior, as well as for the practice of online marketing. © 2003 Wiley Periodicals, Inc. [source] Determination of unbound cefamandole in rat blood by microdialysis and microbore liquid chromatographyBIOMEDICAL CHROMATOGRAPHY, Issue 1 2001Pen-Ho Yeh To analyze unbound cefamandole in rat blood, a method combing microdialysis with microbore liquid chromatography has been developed. A microdialysis probe was inserted into the jugular vein/right atrium of male Sprague,Dawley rats to examine the unbound cefamandole level in the rat blood following cefamandole administration (50,mg/kg, i.v.). The dialysates were directly submitted to a liquid chromatographic system. Samples were eluted with a mobile phase containing acetonitrile,methanol,100,mM monosodium phosphate (pH 5.0; 15:20:65, v/v). The UV wavelength was set at 270,nm for monitoring the analyte. Using the retrograde method, at infusion concentrations of 1,µg/mL of cefamandole, the in vivo microdialysis recoveries were 55.44% for the rat blood (n,=,6). Intra- and inter-assay accuracy and precision of the analyses were ,10% in the range of 0.1,10,µg/mL. Pharmacokinetic parameters were calculated from the recovery-corrected dialysate concentrations of cefamandole vs time data. The elimination half-life (t1/2,,) was 21.6,±,1.6,min. The results suggest that the pharmacokinetics of unbound cefamandole in blood following cefamandole administration (50,mg/kg, i.v., n,=,5) fit best to the two-compartmental model. Copyright © 2001 John Wiley & Sons, Ltd. Abbreviations used: RSD relative standard deviation [source] Non-functional immunoglobulin G transcripts in a case of hyper-immunoglobulin M syndrome similar to type 4IMMUNOLOGY, Issue 2 2004John M. Darlow Summary 86% of immunoglobulin G (IgG) heavy-chain gene transcripts were found to be non-functional in the peripheral blood B cells of a patient initially diagnosed with common variable immunodeficiency, who later developed raised IgM, whereas no non-functionally rearranged transcripts were found in the cells of seven healthy control subjects. All the patient's IgM heavy-chain and , light-chain transcripts were functional, suggesting that either non-functional rearrangements were being selectively class-switched to IgG, or that receptor editing was rendering genes non-functional after class-switching. The functional ,-chain sequences showed a normal rate of somatic hypermutation while non-functional sequences contained few somatic mutations, suggesting that most came from cells that had no functional gene and therefore were not receiving signals for hypermutation. However, apoptosis of peripheral blood lymphocytes was not impaired. No defects have been found in any of the genes currently known to be responsible for hyper-IgM syndrome but the phenotype fits best to type 4. [source] Statistical evaluation of diffusion-weighted imaging of the human kidneyMAGNETIC RESONANCE IN MEDICINE, Issue 2 2010Hans-Jörg Wittsack Abstract The signal of diffusion-weighted imaging of the human kidney differs from the signal in brain examinations due to the different microscopic structure of the tissue. In the kidney, the deviation of the signal behavior of monoexponential characteristics is pronounced. The aim of the study was to analyze whether a mono- or biexponential or a distribution function model fits best to describe diffusion characteristics in the kidney. To determine the best regression, different statistical parameters were utilized: correlation coefficient (R2), Akaike's information criterion, Schwarz criterion, and F-test (Fratio). Additionally, simulations were performed to analyze the relation between the different models and their dependency on signal noise. Statistical tests showed that the biexponential model describes the signal of diffusion-weighted imaging in the kidney better than the distribution function model. The monoexponential model fits the diffusion-weighted imaging data the least but is the most robust against signal noise. From a statistical point of view, diffusion-weighted imaging of the kidney should be modeled biexponentially under the precondition of sufficient signal to noise. Magn Reson Med, 2010. © 2010 Wiley-Liss, Inc. [source] | |||||||||||||