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Articles by Lorentz JANTSCHI
Total Records ( 8 ) for Lorentz JANTSCHI
  Lorentz JANTSCHI , Sorana D. BOLBOACA , Mircea DIUDEA and Radu SESTRAS
  A genetic algorithm (GA) had been developed and implemented in order to identify the optimal solution in term of determination coefficient and estimation power of a multiple linear regression approach on structure-activity relationships. The Molecular Descriptors Family was used for structure characterization of a sample of 206 polychlorinated biphenyls with measured octanol-water partition coefficients as case study. The research aimed to analyze the degree of association between the number of viable genotypes in cultivar in generations when the evolution occurred and the selection and survival strategies. The GA was run by 46 times and the Anderson-Darling test was used to compared the distribution laws of populations occurred by using different pairs of survival and selection strategies. The records of genotypes number were analyzed and the conclusions were highlighted.
  Lorentz JANTSCHI , Sorana D. BOLBOACA , Mircea V. DIUDEA and Radu E. SESTRAS
  A genetic algorithm (GA) had been developed and implemented in order to identify the optimal solution in term of determination coefficient and estimation power of a multiple linear regression approach of structure-activity relationships. The Molecular Descriptors Family for structure characterization of a sample of 206 polychlorinated biphenyls with measured octanol-water partition coefficients was used as case study. The research aimed to analyze the degree of association between number of viable phenotypes in cultivar in generations in which the evolution occurred and the selection and survival strategies. The GA was repeated for 46 times and the Anderson-Darling test was used to compared the distribution laws of populations occurred by using different pairs of survival and selection strategies. Here the records of association of phenotypes in pairs of four were analyzed and the conclusions were highlighted.
  Lorentz JANTSCHI , Sorana D. BOLBOACA , Mugur C. BALAN and Radu E. SESTRAS
  A molecular modeling study was conducted on a series of six natural occurring chlorophylls. Quantum chemistry calculated orbital energies were used to estimate frequency of transitions between occupied molecular orbital and unoccupied molecular orbital energy levels of chlorophyll molecules in vivo conditions in standard (ASTMG173) environmental conditions. Obtained results are in good agreement with energies necessary to fix the Magnesium atom by chlorophyll molecules and with occurrence of chlorophylls in living vegetal organisms.
  Lorentz JANTSCHI , Sorana D. BOLBOACA and Radu SESTRAS
  Genetic algorithms, a sort of algorithms belonging to a more general category, so called meta-heuristics, know today a great expansion in terms of target applications, including biology, chemistry and medicine. They are inspired from primary observations in nature (Lamarck, 1809; Darwin, 1859; Mendel, 1865; Fisher, 1918), and started with simulation of artificial selection of organisms with multiple loci that controls a measurable trait (Fraser, 1957). Genetic algorithms evolved into complex and strong informatics tools capable to deal with hard problems of decision, classification, optimization, and simulation in fields as biology, chemistry and medicine. The aim of the present article was to introduce genetic algorithms and to present their suitability for biological hard problems. Some important results reported in the literature about the use of genetic algorithms for phylogenetic and gene sequence analysis are discussed.
  Sorana D. BOLBOACA , Lorentz JANTSCHI and Radu SESTRAS
  The aim of the research was to investigate the statistical methods used in reporting quantitative genetic models in flower, vegetable, fruit, grape, and shrub and tree studies. A systematic literature review was performed in June 2008 on Oxford Journals database. The search methodology was developed, the inclusion criteria of the titles in the study were imposed, and the variable of interest were defined. A number of four-hundred and thirty-five titles were identified by applying the search string. Thirty-five titles accomplished the inclusion criteria and were included into the study. The analysis of results revealed that almost one-third of paper did not have any keywords and the most frequent one was quantitative trait loci. More than fifty percent of the papers included into the results descriptive statistic parameters and frequencies. Less than half of the investigated papers used any method of statistical inference in analysis of the results. A comprehensive analysis is needed in order to investigate the trends of statistical methods reported by quantitative genetic studies on studied fields by inclusion into the study a wide range of available databases.
  Lorentz JANTSCHI , Sorana D. BOLBOACA , Mugur C. BALAN and Radu E. SESTRAS
  A factor effect study was conducted on a set of observations at the contingency of a series of plant species and bacteria species regarding the antibacterial activity of essential oil extracts. The study reveals a very good agreement between the observations and the hypothesis of independent and multiplicative effect of plant and bacteria species factors on the antibacterial activity. Shaping of the observable to a Negative Binomial distribution allowed the separation of two convoluted Gamma distributions in the observable further assigned to the distribution of factors. Statistics of the Gamma distribution allowed estimating the ratio between diversity of plants factors and bacteria factors in the antibacterial activity of essential oils extracts.
  Cornelia NICOARA and Lorentz JANTSCHI
  In this paper we derive an approximating model for the kinetic reaction of the processes in yeast multiplication. The model comprising a Michaelis-Menten mechanism for yeast’s feeding and other two elementary reactions for multiplication and degradation of the yeasts were qualitatively compared with a series of experimental results for yeast fermentation. The analysis given an estimate for the minimum number of experiments required to obtain good estimates for the parameters of the yeast fermentation process.
  Dana M. POPA , Letitia OPREAN and Lorentz JANTSCHI
  The physical-chemical parameters of wastewater at the entrance and exit of Medias’s wastewater treatment plant during 2009-2011 were determined. Association analysis, factor analysis, multiple linear regression analysis, and t-Test (paired two samples for means) were applied in order to establish a model to explain the pollutants removal degree and the variation in treated water quality. The strongest association occurs between chemical and biochemical oxygen demand. The results indicate that ammonia also has a great influence on the efficiency of wastewater treatment process. The regression analysis leads to a statistically significant model explaining the interdependence of the parameters.
 
 
 
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