Authors:Somayeh Fard, Bizhan Nomanpour, Bahram Fatolahzadeh, Ashraf Mobarez, Davood Darban-Sarokhalil, Abbas Fooladi, Willem Leeuwen and Mohammad Feizabadi
., Ursi, D., Overdijkm, M., Sillekens, P., Ieven, M.: Development of conventional and real time NASBA for the detection of Legionella species in respiratory specimens. J Microbiol Method 67 , 408–415 (2006
Authors:Laíse de Oliveira Andrade, Rajendra Awasthi, Kamal Dua and Terezinha de Jesus Andreoli Pinto
are controlled environments that require an efficient Environmental Monitoring Program. Thus, this program must be capable of detecting an adverse event in microbiological conditions in time to allow effective corrective actions. The principle aim is
Authors:Qiwu Shi, Wanxia Huang, Yubo Zhang, Yang Zhang, Yuanjie Xu and Gang Guo
this work, polyester powder coating and the sample modified with 2 mass% of rutile nano-TiO 2 were prepared by melt-blend extrusion method. To investigate the curing properties of samples, non-isothermal dynamic DSC and real-time FT-IR with a heating
Authors:F. Venturi, C. Sanmartin, I. Taglieri, Y. Xiaoguo, G. Andrich and A. Zinnai
, A. , Venturi , F. & Andrich , G. ( 2011 a). Time evolution of phenols extractions from Sangiovese grapes with and without the addition of solid carbon dioxide . Agrochimica , 55 ( 4 ), 193 – 202
The multifractal analysis is applied to the study of geomechanical monitoring time series. Estimation of singularity spectra parameters within moving time window for this monitoring time series provides a possibility for splitting the history of observations into few adjacent fragments which could reflect e.g. hidden different states of the rock massif in the vicinity of measuring station. In this contribution, analysis of time series of measured distances is presented. A laser distance meter is used for measuring the height of a large chamber in the medieval Jeroným Mine (Czech Republic). This time series separation into individual segments using singularity spectra parameters is important for possible comprehensive analysis of data in individual time periods and/or between individual time periods.
Results of a self-observation of the working time distribution of an university teacher for a period of 28 years are reported.
Averaged over the whole period, the teaching activities take 18%, scientific work −20%, and the various kinds of administrative,
organizational and technical activities −51% of the working time. The changes of the working time distribution and of the
working day duration during the years and the respective data related to the months in the year are presented. The working
time data are compared with the growth of the scientific production of the observed person.
Shi, L., Ho, J., Norling, L. A., Roy, M., Xu, Y., (1999) A real time quantitative PCR-based method for the detection and quantification of simian virus 40, Biologicals 27 , 241-252.
A real time quantitative PCR-based method
Authors:D. Upp, R. Keyser, D. Gedcke, T. Twomey and R. Bingham
All nuclear spectroscopy systems, whether measuring charged particles, X-rays, or gamma-rays, exhibit dead time losses during the counting process due to pulse processing in the electronics. Several techniques have been employed in an effort to reduce the effects of dead time losses on a spectroscopy system including live time clocks and loss-free counting modules. Live time extension techniques give accurate results when measuring samples in which the activity remains roughly constant during the measuring process (i.e., the dead time does not change significantly during a single measurement period). The loss-free counting method of correcting for dead time losses, as introduced by HARMS and improved by WESTPHAL (US Patent No. 4,476,384) give better results than live time extension techniques when the counting rate changes significantly during the measurement. However, loss-free counting methods are limited by the fact that an estimation of the uncertainty associated with the spectral counts can not be easily determined, because the corrected data no longer obeys Poisson statistics. Therefore, accurate analysis of the spectral data including the uncertainty calculations is difficult to achieve. The Ortec® DSPECPLUS
implements an improved zero dead time method that accurately predicts the uncertainty from counting statistics and overcomes the limitations of previous loss-free counting methods. The uncertainty in the dead-time corrected spectrum is calculated and stored with the spectral data (Patent Pending). The GammaVision-32® analysis algorithm has been improved to propagate this uncertainty through the activity calculation. Two experiments are set up to verify these innovations. The experiments show that the new method gives the same reported activity and associated uncertainties as the well-proven Gedcke-Hale live time clock. It is thus shown that over a wide range of dead times the new ZDT method tracks the true counting rate as if it had zero dead time, and yields an accurate estimation of the statistical uncertainty in the reported counts.
Integro-differential inequalities with initial time difference arediscussed. They play an important role in the investigation
of initial value problems of integro-differential equations where the initial time differs. The existence of extremal solutions
is investigated by the monotone iterative technique.