Vector-matrix Analytical Model Recognitions of Nanoparticles of Silver on Polyester Fibers on Polarizing Raman Ranges

Results of vector-matrix modeling of estimates of crossing of ellipses of distribution at recognition of nanoparticles of silver are given in polyair fibers on multidimensional correlation components of the Raman ranges with control according to polarizing characteristics. Reliability of recognition of nanoparticles was estimated on joint probability of normal distributions of intensivnost of the Raman spectrograms of nanoparticles of silver depending on longitudinal and cross polarization of laser radiation on all range of a range

Development of a Technique of an Analytical Assessment of Crossing of Ellipses of Distribution on Polarizing Raman Ranges at Identification of Nanoparticles of Silver on Polyester Fibers

Analytical estimates of crossing of ellipses of distribution at recognition of nanoparticles of colloidal silver are given in polyair fibers on multidimensional correlation components of the Raman ranges with control according to polarizing characteristics. Reliability of recognition of nanoparticles was estimated on joint probability of normal distributions of intensivnost of the Raman spectrograms of nanoparticles of silver on polyair fibers depending on longitudinal and cross polarization of laser radiation on all range of a range with the analysis of 9 main peaks

Development of Two-dimensional Analytical Model According to Polarizing Characteristics of the Raman Ranges at Recognition of Nanoparticles of Silver on Polyester Fibers

Parameters of two-dimensional analytical model of an assessment of crossing of ellipses of distribution at recognition of nanoparticles of colloidal silver are given in polyair fibers on multidimensional correlation components of the Raman ranges with control according to polarizing characteristics. Reliability of recognition of nanoparticles increased more than by 1000 times and was estimated on joint probability of normal distributions of intensivnost of the Raman spectrograms of nanoparticles of silver on polyair fibers depending on longitudinal and cross polarization of laser radiation on all range of a range with the analysis of 9 main peaks

Assessment of Reliability of Recognition of Nanoparticles of Silver on Polyester Fibers on Two-dimensional Models and Experimental Data of the Raman Ranges

Results of comparison of parameters of crossing of distribution of multidimensional correlation components of polarizing Raman ranges with control on polarizing characteristics at recognition of nanoparticles of silver are given in polyair fibers on vector-matrix modeling and generation of multidimensional correlation data. The assessment of reliability of recognition of nanoparticles was carried out on joint probability of normal distributions of intensivnost of the Raman spectrograms of fibers of polyair

Assessment of Reliability of Recognition of Nanoparticles of Silver on Polyester Fibers on Two-dimensional Models and Experimental Data of the Raman Ranges

Results of comparison of parameters of crossing of distribution of multidimensional correlation components of polarizing Raman ranges with control on polarizing characteristics at recognition of nanoparticles of silver are given in polyair fibers on vector-matrix modeling and generation of multidimensional correlation data. The assessment of reliability of recognition of nanoparticles was carried out on joint probability of normal distributions of intensivnost of the Raman spectrograms of fibers of polyair

The Control of Gold Nanoparticles on Polyester Fibers by Raman Spectrograms in Conditions of Information Uncertainty with Detection Accuracy

Results of modeling of the Raman spectrograms of polyester fibers are presented when drawing nanoparticles of gold on them. As a result of the carried-out modeling were allocated: initial ranges, background components and the Raman ranges without background components. For simplification of procedures of mathematical modeling it was chosen 7 informative resonant peaks of the received spectrograms. Further processing was carried out only on coordinates of resonant peaks. For detection of reliability of control of nanoparticles of gold on making components of the Raman ranges when using conditions of information uncertainty in work the method of an assessment of multidimensional reliability on joint probability of crossing of dispersions of normal distributions of intensivnost of the Raman spectrograms without nanoparticles and with nanoparticles on fibers depending on wave numbers on all range of their changes is offered. Values of reliability of control on making components of the Raman spectrograms were as a result received and the most exact method for monitoring procedure of nanoparticles of gold on a surface of fibers is revealed. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3357

Development of Two-dimensional Analytical Model According to Polarizing Characteristics of the Raman Ranges at Recognition of Nanoparticles of Silver on Polyester Fibers

Parameters of two-dimensional analytical model of an assessment of crossing of ellipses of distribution at recognition of nanoparticles of colloidal silver are given in polyair fibers on multidimensional correlation components of the Raman ranges with control according to polarizing characteristics. Reliability of recognition of nanoparticles increased more than by 1000 times and was estimated on joint probability of normal distributions of intensivnost of the Raman spectrograms of nanoparticles of silver on polyair fibers depending on longitudinal and cross polarization of laser radiation on all range of a range with the analysis of 9 main peaks

Evaluation of Silver and Gold Nanoparticles on Polyester Fibers by Fluorescent Polarization Raman Spectra

The results of the validation of identification nanoparticle colloidal silver and gold on the polyester fibers on the background component of the Raman spectra in the control based on the polarization chara c-teristics. The accuracy of identification of nanoparticles was evaluated by the joint probability of crossing normal scatter intensity distributions Raman spectrograms as silver nanoparticles and gold nanoparticles on polyester fibers, depending on the longitudinal and transverse polarization of the laser radiation on the entire range of wave numbers. Defined generalized parameter values common to distributions over the en-tire range for each wave numbers with the polarization of the laser and across the grain, and generalized reliability of the control and identification of nanoparticles of silver, gold for assessing the likelihood of the complete group of events. Set the sensitivity of detection reliability. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3638

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types