A COMPARATIVE EVALUATION OF LENGTH OF RESIN TAG FORMATION ON DENTIN SUBSTRATE USING ONE-STEP AND TWO-STEP SELF-ETCHING SYSTEM– A CLSM STUDY

2021 ◽  
Vol 15 (5) ◽  
Keyword(s):  
Comparative Evaluation ◽  
System A ◽  
One Step ◽  
Etching System

scholarly journals Brief comparative evaluation of six open one-step RT-qPCR mastermixes for the detection of SARS-CoV-2 RNA using a Taqman probe

2020 ◽  
Vol 132 ◽  
pp. 104636
Author(s):  
Cyrille Haddar ◽  
Paul O. Verhoeven ◽  
Thomas Bourlet ◽  
Bruno Pozzetto ◽  
Sylvie Pillet
Keyword(s):  
Comparative Evaluation ◽  
Taqman Probe ◽  
One Step

scholarly journals Canine distemper virus detection by different methods of One-Step RT-qPCR

2016 ◽  
Vol 46 (9) ◽  
pp. 1601-1606
Author(s):  
Claudia de Camargo Tozato ◽  
Vívian Ferreira Zadra ◽  
Caroline Rodrigues Basso ◽  
João Pessoa Araújo Junior
Keyword(s):  
Urine Sample ◽  
Canine Distemper Virus ◽  
Limit Of Detection ◽  
Analytical Sensitivity ◽  
Canine Distemper ◽  
System A ◽  
Virus Rna ◽  
One Step ◽  
Commercial Kits ◽  
The One

ABSTRACT: Three commercial kits of One-Step RT-qPCR were evaluated for the molecular diagnosis of Canine Distemper Virus. Using the kit that showed better performance, two systems of Real-time RT-PCR (RT-qPCR) assays were tested and compared for analytical sensitivity to Canine Distemper Virus RNA detection: a One-Step RT-qPCR (system A) and a One-Step RT-qPCR combined with NESTED-qPCR (system B). Limits of detection for both systems were determined using a serial dilution of Canine Distemper Virus synthetic RNA or a positive urine sample. In addition, the same urine sample was tested using samples with prior centrifugation or ultracentrifugation. Commercial kits of One-Step RT-qPCR assays detected canine distemper virus RNA in 10 (100%) urine samples from symptomatic animals tested. The One-Step RT-qPCR kit that showed better results was used to evaluate the analytical sensitivity of the A and B systems. Limit of detection using synthetic RNA for the system A was 11 RNA copies µL-1 and 110 RNA copies µl-1 for first round System B. The second round of the NESTED-qPCR for System B had a limit of detection of 11 copies µl-1. Relationship between Ct values and RNA concentration was linear. The RNA extracted from the urine dilutions was detected in dilutions of 10-3 and10-2 by System A and B respectively. Urine centrifugation increased the analytical sensitivity of the test and proved to be useful for routine diagnostics. The One-Step RT-qPCR is a fast, sensitive and specific method for canine distemper routine diagnosis and research projects that require sensitive and quantitative methodology.

CONTINUOUS CARDIAC OUTPUT/ MIXED VENOUS O2 MONITORING SYSTEM???A COMPARATIVE EVALUATION IN CRITICALLY ILL PATIENTS

1994 ◽  
Vol 22 (1) ◽  
pp. A191 ◽  
Author(s):  
William R. Auger ◽  
David B. Hoyt ◽  
F. Wayne Johnson ◽  
Diane Lewis ◽  
Joan Garcia ◽  
...  
Keyword(s):  
Cardiac Output ◽  
Critically Ill ◽  
Monitoring System ◽  
Critically Ill Patients ◽  
Comparative Evaluation ◽  
Continuous Cardiac Output ◽  
System A ◽  
Mixed Venous

Effect of Cyclic Loading on the Microtensile Bond Strengths of Total-etch and Self-etch Adhesives

2006 ◽  
Vol 31 (1) ◽  
pp. 25-32 ◽  
Author(s):  
M. Toledano ◽  
R. Osorio ◽  
A. Albaladejo ◽  
F. S. Aguilera ◽  
F. R. Tay ◽  
...  
Keyword(s):  
Cyclic Loading ◽  
Clinical Relevance ◽  
Acid Etching ◽  
One Step ◽  
Bond Strengths ◽  
Self Etch ◽  
Etching System ◽  
Better Than

Clinical Relevance Resin-dentin bonds, which may have an influence on the long-term success of restorations, are prone to deterioration after cyclic loading. The tested one-step self-etching system (Etch&Prime 3.0) provided the least reliable dentin adhesion. After acid etching of dentin, alcohol/based adhesives performed better than those containing acetone as solvent.

Kinetic Analysis on Catalytic Co-Gasification of Rubber Seed Shell and High Density Polyethylene Mixtures

2014 ◽  
Vol 625 ◽  
pp. 251-254
Author(s):  
Bridgid Chin Lai Fui ◽  
Suzana Yusup ◽  
Ahmed Al Shoaibi ◽  
Pravin Kannan ◽  
Chandrasekar Srinivasakannan ◽  
...  
Keyword(s):  
High Density Polyethylene ◽  
Weight Ratio ◽  
High Density ◽  
Heating Rates ◽  
Exponential Factor ◽  
Rubber Seed ◽  
Gasification Process ◽  
System A ◽  
One Step ◽  
Decomposition Behavior

In this paper, the catalytic co-gasification of rubber seed shell and high density polyethylene mixtures (0.2:0.8 weight ratio of HDPE:RSS) are investigated using a non-isothermal thermogravimetric analysis (TGA) system in a range of heating rates of 10, 20, 30 and 50 K/min within the temperature range of 323-1173 K. The argon gas is supplied at a flowrate of 100 ml/min and the steam is generated from superheater at 383 K. The steam is injected at flowrate of 300 μL/hour into the TGA system. A commercial nickel powder is used as the catalyst for the gasification process. The thermal decomposition behavior and synergistic effect of the HDPE/RSS mixture are investigated. The activation energy, EA and pre-exponential factor, A are determined based on one step integral method.

scholarly journals Comparative evaluation of six immunoassays for the detection of antibodies against SARS-CoV-2

2020 ◽  
Author(s):  
Felipe Perez-Garcia ◽  
Ramon Perez-Tanoira ◽  
Maria Esther Iglesias ◽  
Juan Romanyk ◽  
Teresa Arroyo ◽  
...  
Keyword(s):  
Excellent Agreement ◽  
Comparative Evaluation ◽  
Diagnostic Performance ◽  
Lateral Flow ◽  
Serum Samples ◽  
Kappa Score ◽  
One Step ◽  
Performance Results

Objectives: Serologic techniques can serve as a complement to diagnose SARS-CoV-2 infection. The objective of our study was to compare the diagnostic performance of six immunoassays to detect antibodies against SARS-CoV-2: three lateral flow immunoassays (LFAs), one ELISA and two chemiluminescence assays (CLIAs). Methods: We evaluated three LFAs (Alltest, One Step and SeroFlash), one ELISA (Dia.Pro) and two CLIAs (Elecsys and COV2T). To assess the specificity, 60 pre-pandemic sera were used. To evaluate the sensitivity, we used 80 serum samples from patients with positive PCR for SARS-CoV-2. Agreement between techniques was evaluated using the kappa score (k). Results: All immunoassays showed a specificity of 100% except for SeroFlash (96.7%). Overall sensitivity was 61.3%, 73.8%, 67.5%, 85.9%, 88.0% and 92.0% for Alltest, One Step, SeroFlash, Dia.Pro, Elecsys and COV2T, respectively. Sensitivity increased throughout the first two weeks from the onset of symptoms, reaching sensitivities over 85% from 14 days for all LFAs, being One Step the most sensitive (97.6%), followed by SeroFlash (95.1%). Dia.Pro, Elecsys and COV2T showed sensitivities over 97% from 14 days, being 100% for COV2T. One Step showed the best agreement results among LFAs, showing excellent agreement with Dia.Pro (agreement=94.2%, k=0.884), COV2T (99.1%, k=0.981) and Elecsys (97.3%, k=0.943). Dia.Pro, COV2T and Elecsys also showed excellent agreement between them. Conclusions: One Step, Dia.Pro, Elecsys and COV2T obtained the best diagnostic performance results. All these techniques showed a specificity of 100% and sensitivities over 97% from 14 days after the onset of symptoms, as well as excellent levels of agreement.

scholarly journals Self-adaptation of parameters in a learning classifier system ensemble machine

2010 ◽  
Vol 20 (1) ◽  
pp. 157-174 ◽  
Author(s):  
Maciej Troć ◽  
Olgierd Unold
Keyword(s):  
Classifier Systems ◽  
Learning Classifier System ◽  
Classifier System ◽  
System A ◽  
Learning Classifier ◽  
Ensemble Machine Learning ◽  
One Step ◽  
Self Adaptation ◽  
Selection Of ◽  
Self Adaptive

Self-adaptation of parameters in a learning classifier system ensemble machineSelf-adaptation is a key feature of evolutionary algorithms (EAs). Although EAs have been used successfully to solve a wide variety of problems, the performance of this technique depends heavily on the selection of the EA parameters. Moreover, the process of setting such parameters is considered a time-consuming task. Several research works have tried to deal with this problem; however, the construction of algorithms letting the parameters adapt themselves to the problem is a critical and open problem of EAs. This work proposes a novel ensemble machine learning method that is able to learn rules, solve problems in a parallel way and adapt parameters used by its components. A self-adaptive ensemble machine consists of simultaneously working extended classifier systems (XCSs). The proposed ensemble machine may be treated as a meta classifier system. A new self-adaptive XCS-based ensemble machine was compared with two other XCS-based ensembles in relation to one-step binary problems: Multiplexer, One Counts, Hidden Parity, and randomly generated Boolean functions, in a noisy version as well. Results of the experiments have shown the ability of the model to adapt the mutation rate and the tournament size. The results are analyzed in detail.

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