171 research outputs found

    Transcription factor binding distribution and properties in prokaryotes

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    The canonical model of transcriptional regulation in prokaryotes restricted binding site locations to promoter regions and suggested that the binding sequences serve as the main determinants of binding. In this dissertation, I challenge these assumptions. As a member of the TB Systems Biology Consortium, I analyzed and validated ChIP-Seq and microarray experiments for over 100 transcription factors (TFs). In order to study the transcriptional functions of predicted binding sites, I integrated binding and expression data and assigned potential regulatory roles to 20% of the binding sites. Stronger binding sites were more often associated with regulation than weaker sites, suggesting a correlation between binding strength and regulatory impact. Seventy-six percent of the sites fell into annotated coding regions and a significant proportion was assigned to regulatory functions. To study the importance of binding sequences, I compared experimental sites with computational motif predictions. Although a conservative binding motif was found for most TFs, only a fraction of the observed motifs appeared bound in the experiment. Some low-affinity binding sites appeared occupied by the corresponding TF while many high-affinity binding sites were not. Interestingly, I found exactly the same nucleotide sequences (up to 15 residues long) bound in one area of the genome but not bound in another area, pointing to DNA accessibility as an important factor for in vivo binding. To investigate the evolutionary conservation of binding-site occupancy, sequence, and transcriptional impact, I analyzed ChIP-Seq and expression experiments for five conserved TFs for two-to-four Mycobacterial relatives. The regulon composition showed significantly less conservation than expected from the overall gene conservation level across Mycobacteria. Despite expectations, sequence conservation did not serve as a good indicator of whether or not a computationally predicted motif was bound experimentally; and in some cases, a fully conserved motif was bound in one relative but not in the other. Conservation of genic binding sites was higher than expected from the random model, adding to the evidence that at least some genic sites are functional. Understanding the evolutionary story of binding sites allowed me to explain unusual site configurations, some of which indicated a role for DNA looping

    Optimization of structural solutions of reinforcement cages of bendable reinforced concrete elements

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    This article discusses the comparison of the design solutions of welded and knitted reinforcement cages used for reinforcement of concrete structures and evaluated their advantages and disadvantage

    Optimization of structural solutions of reinforcement cages of bendable reinforced concrete elements

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    This article discusses the comparison of the design solutions of welded and knitted reinforcement cages used for reinforcement of concrete structures and evaluated their advantages and disadvantage

    Geo-neutrinos and Silicate Earth Enrichment of U and Th

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    The terrestrial distribution of U, Th, and K abundances governs the thermal evolution, traces the differentiation, and reflects the bulk composition of the earth. Comparing the bulk earth composition to chondritic meteorites estimates the net amounts of these radiogenic heat-producing elements available for partitioning to the crust, mantle, and core. Core formation enriches the abundances of refractory lithophile elements, including U and Th, in the silicate earth by ~1.5. Global removal of volatile elements potentially increases this enrichment to ~2.8. The K content of the silicate earth follows from the ratio of K to U. Variable enrichment produces a range of possible heat-producing element abundances in the silicate earth. A model assesses the essentially fixed amounts of U, Th, and K in the approximately closed crust reservoir. Subtracting these sequestered crustal amounts from the variable amounts in the silicate earth results in a range of possible mantle allocations, leaving global dynamics and thermal evolution poorly constrained. Terrestrial antineutrinos from {\beta}-emitting daughter nuclei in the U and Th decay series traverse the earth with negligible attenuation. The rate at which large subsurface instruments observe these geo-neutrinos depends on the distribution of U and Th relative to the detector. Geo-neutrino observations with sensitivity to U and Th in the mantle are able to estimate silicate earth enrichment, leading to a more complete understanding of the origin, accretion, differentiation, and thermal history of the planet.Comment: published version: 21 pages, 3 figures, 5 table

    40Ar–39Ar ages and isotope geochemistry of Cretaceous basalts in northern Madagascar: Refining eruption ages, extent of crustal contamination and parental magmas in a flood basalt province

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    The Madagascar Cretaceous igneous province exposed in the Mahajanga basin is represented by basalt and basaltic andesite lavas. New 40Ar–39Ar plateau ages (92.3 Β± 2.0 Ma and 91.5 Β± 1.3 Ma) indicate that the magmatism in the Mahajanga basin started about 92 Ma ago. Four geochemically distinct magma types (Groups A–D) are present. Group A and C rocks have low to moderate TiO2 (1.2–2.6 wt%), Nb (3–9 ΞΌg gβˆ’1) and Zr (82–200 ΞΌg gβˆ’1), and show large variations in Ι›Ndi (+0.1 to βˆ’10.8), 206Pb/204Pb (15.28 to 16.33) and Ξ³Os (+11.4 to +7378). The large isotopic variations, particularly in Os, Nd and Pb isotopic compositions, are likely due to crustal contamination. The low Pb isotope ratios observed in the Group A and C rocks suggest involvement of continental crust with low ΞΌ (238U/204Pb). Group B and D rocks have moderate to high TiO2 (2.2–4.9 wt%), Nb (8–24 ΞΌg gβˆ’1) and Zr (120–327 ΞΌg gβˆ’1). Age-corrected isotopes of Group B and D lavas show a small range in Ι›Ndi (+1.0 to +4.0) and a wide range in Ξ³Os (+128 to +1182). Values of 207Pb/204Pb are within the range for Groups A and C, but the Group D 206Pb/204Pb (16.52–17.08) and 208Pb/204Pb (37.51–38.01) values are higher, indicating a different crustal contaminant. Pb isotopic values of the Group B rocks seem to reflect the isotopic features of their mantle source. The magma groups of Mahajanga display a wide range of trace element and isotopic compositions that cannot be explained only by open-system crystallization processes but, rather, by distinct mantle sources

    A Study of the Residual 39Ar Content in Argon from Underground Sources

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    The discovery of argon from underground sources with significantly less 39Ar than atmospheric argon was an important step in the development of direct-detection dark matter experiments using argon as the active target. We report on the design and operation of a low background detector with a single phase liquid argon target that was built to study the 39Ar content of the underground argon. Underground argon from the Kinder Morgan CO2 plant in Cortez, Colorado was determined to have less than 0.65% of the 39Ar activity in atmospheric argon.Comment: 21 pages, 10 figure

    ВСроятностная ΠΎΡ†Π΅Π½ΠΊΠ° пригодности судСбно-экспСртной ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ Β«ΠœΠΈΠΊΡ€ΠΎΡΠΊΠΎΠΏΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ исслСдованиС Ρ‚Π΅ΠΊΡΡ‚ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Β»

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    Β The results of validation of the method β€œMicroscopic analysis of textile fibers” used in forensic fiber examination are presented. An attempt is made to estimate reliability of testing of this method numerically by the proportions of right and false results and credibility ratio.The testing method under consideration consists in establishing a set of external characteristics of natural and chemical textile fibers: color, peculiarities of coloration, morphological features, presence/absence of a matting agent. These generic characteristics are used in forensic textile analysis.Β As the objects of testing fiber samples from comparative collection of a forensic fiber laboratory were used. Four experts participated in the experiment independently examining eleven fiber samples by eleven external characteristics for a week.A low (2,2 %) rate of false results in relation to the total number of tests was established as well as the low (less than 3,0 %) rate of each expert’s false results. The probability of the right results of characteristics’ assessment is 30 times higher than the probability of false results.The results of the experiment permit the conclusion that the method is suitable to be used in forensic fiber examination when dealing with various tasks: classification, identification, situational and diagnostic.Β Β ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ Β«ΠœΠΈΠΊΡ€ΠΎΡΠΊΠΎΠΏΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ исслСдованиС Ρ‚Π΅ΠΊΡΡ‚ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Β», примСняСмой ΠΏΡ€ΠΈ судСбно-экспСртном исслСдовании волокнистых ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ². ΠŸΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΡΡ‚Π° ΠΏΠΎΠΏΡ‹Ρ‚ΠΊΠ° ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ тСстирования этой ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ числСнно: ΠΏΠΎ значСниям Π΄ΠΎΠ»Π΅ΠΉ Π»ΠΎΠΆΠ½Ρ‹Ρ… ΠΈ ΠΏΡ€Π°Π²ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΈ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ правдоподобия.РассматриваСмая ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° тСстирования Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² установлСнии комплСкса Π²Π½Π΅ΡˆΠ½ΠΈΡ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½Ρ‹Ρ… ΠΈ химичСских Ρ‚Π΅ΠΊΡΡ‚ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½: Ρ†Π²Π΅Ρ‚Π°, особСнности окраски, морфологичСских особСнностСй, наличия/отсутствия ΠΌΠ°Ρ‚ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ Π°Π³Π΅Π½Ρ‚Π°. Π”Π°Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄ΠΎΠ²Ρ‹Π΅ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡŽΡ‚ΡΡ ΠΏΡ€ΠΈ судСбно-экспСртном исслСдовании Ρ‚Π΅ΠΊΡΡ‚ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½.ΠžΠ±ΡŠΠ΅ΠΊΡ‚Π°ΠΌΠΈ тСстирования являлись ΠΎΠ±Ρ€Π°Π·Ρ†Ρ‹ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½ ΠΈΠ· ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€ΠΈΠΈ криминалистичСской экспСртизы волокнистых ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ². Π’ экспСримСнтС участвовали Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅ экспСрта, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π½Π΅Π΄Π΅Π»ΠΈ нСзависимо исслСдовали ΠΎΠ΄ΠΈΠ½Π½Π°Π΄Ρ†Π°Ρ‚ΡŒ ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ² Π²ΠΎΠ»ΠΎΠΊΠΎΠ½ ΠΏΠΎ ΠΎΠ΄ΠΈΠ½Π½Π°Π΄Ρ†Π°Ρ‚ΠΈ внСшним ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ.УстановлСн Π½ΠΈΠ·ΠΊΠΈΠΉ (2,2 %) ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Π»ΠΎΠΆΠ½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΠΎ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ ΠΊ ΠΎΠ±Ρ‰Π΅ΠΌΡƒ числу тСстирований, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π½ΠΈΠ·ΠΊΠΈΠΉ (ΠΌΠ΅Π½Π΅Π΅ 3,0 %) ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Π»ΠΎΠΆΠ½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² Ρƒ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΠ· экспСртов. Π’Π΅Ρ€ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€Π°Π²ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΎΡ†Π΅Π½ΠΊΠΈ совокупности ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² Π² 30 Ρ€Π°Π· Π²Ρ‹ΡˆΠ΅ вСроятности Π»ΠΎΠΆΠ½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ².Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ экспСримСнта ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ ΡΠ΄Π΅Π»Π°Ρ‚ΡŒ Π²Ρ‹Π²ΠΎΠ΄ ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° ΠΏΡ€ΠΈΠ³ΠΎΠ΄Π½Π° для использования Π² судСбной экспСртизС волокнистых ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² ΠΏΡ€ΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ Ρ€Π°Π·Π½ΠΎΠΎΠ±Ρ€Π°Π·Π½Ρ‹Ρ… Π·Π°Π΄Π°Ρ‡: классификационных, ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ…, ситуационно-диагностичСских.

    ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ особСнности Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ судСбно-экспСртных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ

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    The article reviews and summarizes the experience of validating forensic expert techniques in the Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation. The authors point out the methodological features of practical implementation of the validation procedure. They demonstrate that the specificity, diversity, and complexity of the objects of expert study require the classification of the applied methods in terms of metrology, identification of the main validation parameters of quantitative and qualitative methods, organization of experiments, and evaluation of validation parameters using mathematical analysis methods. They also propose to divide methods into two types: forensic expert measurement methods (FMT) and forensic expert testing methods (FTT). Based on the generalization of information presented in several regulatory documents and scientific publications, the following parameters are identified for FMT: metrological characteristics or properties of the method (specificity, linearity, sensitivity, range of determined values, detection limit, quantitative determination limit) and quality indicators of the method (precision, correctness, accuracy of the analysis result, or uncertainty). When validating FTT, it is proposed to evaluate the reliability of the method and the competence of the expert.An experiment to assess validation parameters is performed using enough control samples with established characteristics of controlled indicators and with the participation of a sufficient number of experts. Requirements for control samples are provided.The authors also give examples of probabilistic evaluation of validation parameters for two qualitative testing methods: microscopic examination of textile fibers and detection of gunshot residue using scanning electron microscopy and X-ray microanalysis. The reliability of these methods is assessed by calculating the likelihood ratio, and the specificity of interpreting the results of FMT and FTT validation is noted.The decision on compliance with the requirements is made if the interval of the established extended uncertainty for the obtained result does not exceed the tolerance field. In the absence of tolerances, FMT is considered suitable for solving forensic expert tasks if the values of the extended uncertainty of the measurement results of the controlled indicator do not exceed the values established during validation. For FTT, a low probabilistic proportion of false positive and false negative results in determining the presence/absence of controlled indicators, as well as experimentally confirmed competence of the expert during validation, are indicators of the suitability of the method for its intended useΠ’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСн ΠΎΠ±Π·ΠΎΡ€ ΠΈ ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½ΠΈΠ΅ ΠΎΠΏΡ‹Ρ‚Π° Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ судСбно-экспСртных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ (БЭМ) Π² Π€Π‘Π£ Π Π€Π¦Π‘Π­ ΠΏΡ€ΠΈ ΠœΠΈΠ½ΡŽΡΡ‚Π΅ России. ΠžΡ‚ΠΌΠ΅Ρ‡Π΅Π½Ρ‹ мСтодологичСскиС особСнности практичСской Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Ρ‹ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ. Показано, Ρ‡Ρ‚ΠΎ ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ, Ρ€Π°Π·Π½ΠΎΠΎΠ±Ρ€Π°Π·ΠΈΠ΅ ΠΈ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² экспСртного исслСдования Ρ‚Ρ€Π΅Π±ΡƒΡŽΡ‚ классификации ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ Π² мСтрологичСском ΠΏΠ»Π°Π½Π΅, выявлСния основных ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ количСствСнных ΠΈ качСствСнных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ, ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ экспСримСнта ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ матСматичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π°. ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅Ρ‚ΡΡ Ρ€Π°Π·Π΄Π΅Π»ΡΡ‚ΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ Π½Π° Π΄Π²Π° Ρ‚ΠΈΠΏΠ°: судСбноэкспСртныС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ измСрСния (БЭМИ) ΠΈ судСбно-экспСртныС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ тСстирования (БЭМВ). На основании обобщСния свСдСний, прСдставлСнных Π² рядС Π½ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚ΠΎΠ² ΠΈ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ, для БЭМИ Π²Ρ‹Π΄Π΅Π»Π΅Π½Ρ‹ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠ΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹: мСтрологичСскиС характСристики ΠΈΠ»ΠΈ свойства ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ (ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ, Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡ‚ΡŒ, Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ опрСдСляСмых Π²Π΅Π»ΠΈΡ‡ΠΈΠ½, ΠΏΡ€Π΅Π΄Π΅Π» обнаруТСния, ΠΏΡ€Π΅Π΄Π΅Π» количСствСнного опрСдСлСния) ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ качСства ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ (ΠΏΡ€Π΅Ρ†ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΡΡ‚ΡŒ, ΠΏΡ€Π°Π²ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΡŒ, Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π° Π°Π½Π°Π»ΠΈΠ·Π° ΠΈΠ»ΠΈ Π½Π΅ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡ‚ΡŒ). ΠŸΡ€ΠΈ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ БЭМВ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Ρ‚ΡŒ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ ΠΈ ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ экспСрта.ЭкспСримСнт ΠΏΠΎ ΠΎΡ†Π΅Π½ΠΊΠ΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ Π²Ρ‹ΠΏΠΎΠ»Π½ΡΡŽΡ‚ с использованиСм достаточного количСства ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ² с установлСнными характСристиками ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ с участиСм достаточного числа экспСртов. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ трСбования, ΠΏΡ€Π΅Π΄ΡŠΡΠ²Π»ΡΠ΅ΠΌΡ‹Π΅ ΠΊ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ ΠΎΠ±Ρ€Π°Π·Ρ†Π°ΠΌ.Π Π°Π·ΠΎΠ±Ρ€Π°Π½Ρ‹ ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ вСроятностной ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ для Π΄Π²ΡƒΡ… качСствСнных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ тСстирования: ΠΏΠΎ микроскопичСскому исслСдованию Ρ‚Π΅ΠΊΡΡ‚ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½ ΠΈ ΠΏΠΎ ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΈΡŽ слСдов ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² выстрСла с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΡΠΊΠ°Π½ΠΈΡ€ΡƒΡŽΡ‰Π΅ΠΉ элСктронной микроскопии ΠΈ Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΌΠΈΠΊΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·Π°. Π”Π°Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° надСТности этих ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ расчСта ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ правдоподобия, ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π° спСцифика ΠΈΠ½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚Π°Ρ†ΠΈΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ БЭМИ ΠΈ БЭМВ.РСшСниС ΠΎ соотвСтствии БЭМИ ΠΏΡ€Π΅Π΄ΡŠΡΠ²Π»Π΅Π½Π½Ρ‹ΠΌ трСбованиям принимаСтся, Ссли ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π» установлСнной Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½Π½ΠΎΠΉ нСопрСдСлСнности для ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½ΠΎΠ³ΠΎ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π° Π½Π΅ Π²Ρ‹Ρ…ΠΎΠ΄ΠΈΡ‚ Π·Π° ΠΏΡ€Π΅Π΄Π΅Π»Ρ‹ поля допуска. ΠŸΡ€ΠΈ отсутствии допусков БЭМИ считаСтся ΠΏΡ€ΠΈΠ³ΠΎΠ΄Π½ΠΎΠΉ для Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ судСбноэкспСртных Π·Π°Π΄Π°Ρ‡, Ссли значСния Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½Π½ΠΎΠΉ нСопрСдСлСнности Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΈΠ·ΠΌΠ΅Ρ€Π΅Π½ΠΈΠΉ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ показатСля Π½Π΅ ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ°ΡŽΡ‚ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ, установлСнных ΠΏΡ€ΠΈ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ. Для БЭМВ низкая вСроятностная доля Π»ΠΎΠΆΠ½ΠΎΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΈ Π»ΠΎΠΆΠ½ΠΎΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² установлСния наличия/отсутствия ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎ подтвСрТдСнная ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ экспСрта Π² Ρ…ΠΎΠ΄Π΅ Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ показатСлями пригодности ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ для Ρ†Π΅Π»ΠΈ использовани
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