In the years 2012-2014 on Banu-Maracine DRS there were tested an assortment of 25 isogenic lines of wheat (Triticum aestivum ssp.vulgare), the analyzed characters being the number of seeds/spike, seeds weight/spike (g), no. of spikes/m2, weight of a thousand seeds (WTS) (g) and no. of emerged plants/m2. Based on recorded data and statistical processing of those, they were identified a numbers of links between these characters. Also available regression models were identified between some of the studied characters. Based on component analysis, no. of seeds/spike and seeds weight/spike are components that influence in excess of 88% variance analysis, a total of seven genotypes with positive scores for both factors.
In the years 2012-2014 on Banu-Maracine DRS were tested an assortment consists of 25 isogenic lines of common wheat (Triticum aestivum ssp.vulgare), with the combination of Rht1&rht8 genes, the analyzed characters being the hight of the strain (cm), the number of seeds/spike, seeds weight/spike (g), no. of spikes/m2, weight of a thousand seeds (WTS) (g) and no. of emerged plants/m2. Based on recorded data and statistical processing of those, they were identified a numbers of links between these characters, links quantified by using the correlation.
Regarding the classification based on the average high of the strain, it was found that that there is a strong link between some characters too. Based on component analysis, the no. of seeds/spike and the seeds weight/spikes are components that influence in excess of 83% variance analysis, a total of five genotypes having positive scores for both factors.
Hospital management has experienced significant progress with the evolution of the Romanian health system reform, it has made strides in terms of resource allocation and cost control, new systems for classification, evaluation and monitoring (DRGs, SIUI, CaPeSaRo) were implemented, some taken from other countries and adapted to local conditions, but not always integrated with the other components and sometimes incompletely implemented and developed. This material does not offer definite solutions to current problems. It only briefly addresses the main aspects of hospital activity, and points out some failures with whom hospital managers are presently faced. Once the problems are identified it creates prerequisites for solving them, it opens channels of research and development of new methodologies or correlation of the existing deficient workflows that can be corrected.
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In this paper, the problem of tool wear prediction during milling of hard-to-cut metal matrix composite Duralcan™ was presented. The conducted research involved the measurements of acceleration of vibrations during milling with constant cutting conditions, and evaluation of the flank wear. Subsequently, the analysis of vibrations in time and frequency domain, as well as the correlation of the obtained measures with the tool wear values were conducted. The validation of tool wear diagnosis in relation to selected diagnostic measures was carried out with the use of one variable and two variables regression models, as well as with the application of artificial neural networks (ANN). The comparative analysis of the obtained results enable.