The Experts below are selected from a list of 40965 Experts worldwide ranked by ideXlab platform

A. F. Schmalreck - One of the best experts on this subject based on the ideXlab platform.

  • Differentiation and characterization of yeasts pathogenic for humans (Candida albicans, Exophiala dermatitidis) and algae pathogenic for animals (Prototheca spp.) using Fourier transform infrared spectroscopy (FTIR) in comparison with conventional me
    Mycoses, 1998
    Co-Authors: A. F. Schmalreck, P Tränkle, E Vanca, R Blaschke-hellmessen
    Abstract:

    Due to the Fourier-Transform Infrared Spectroscopy (FT-IR) of strain specific traits demonstrated to be a suitable and efficient method for diagnostic and epidemiological determinations for the yeasts Candida albicans, Exophiala dermatitidis and the chlorophylless algae of the genus Prototheca. FT-IR leads in a rapid and economical way to reproducible results according to the spectral differences of intact cells (IR-fingerprints). Different genera, species and sub-species respectively, different strains can be recognized and grouped into different clusters and subclusters. The FT-IR analysis of Candida albicans isolates (n = 150) of 22 newborns-at-risk of an intensive care unit showed, that 86% of the children were colonised with several (2-4) different strains in the oral cavities and faeces. Stationary cross-infections could definitely be determined. Exophiala dermatitidis isolates (n = 31), mostly isolated repetitively within a period of 3 years from sputa of patients suffering from cystic fibrosis could be characterized and grouped patient-specifically over the total sampling period. Of 6 from 8 patients (75%) their individual strains remain the same and could be tracked over the three years. Cross-infections during the stationary treatment could be clearly identified by FT-IR. The Prototheca isolate (n = 43) from live-stock and farm environment showed clear distinguishable clusters differentiating the species P. wickerhamii, P. zopfii and P. stagnora. In addition, the biotypes of P. zopfii could be distinguished, especially the subclusters of variants II and III. It could be demonstrated, that FT-IR is suitable for the routine identification and differentiation of yeasts and algae. However, in spite of the gain of knowledge by using FT-IR for the characterization of microorganisms, the conventional phenotyping and/or Genetic analysis of yeast or algae strains cannot be replaced completely. For a final taxonomic classification a combination of conventional methods on FT-IR together with more sophisticated molecular Genetic Procedures is necessary.

  • differenzierung und charakterisierung von humanpathogenen hefen candida albicans exophiala dermatitidis und tierpathogenen algen prototheca spp mittels fourier transform infrarot spektroskopie ft ir im vergleich zu konventionellen methoden
    Mycoses, 1998
    Co-Authors: A. F. Schmalreck, P Tränkle, E Vanca, Renate Blaschkehellmessen
    Abstract:

    Zusammenfassung. Die Fourier-Transform-Infrarot-Spektroskopie (FT-IR) erwies sich als eine geeignete und effiziente Methode fur diagnostische und epidemiologische Bestimmungen bei den Hefen Candida albicans, Exophicla dermalitidis und chlorophyllosen Algen der Gattung Prototheca aufgrund eindeutig abgrenzbarer IR-Spektren stammspezifischer Merkmale. FT-IR fuhrt schnell und okonomisch zu reproduzierbaren Ergebnissen. Unterschiedliche Genera, Spezies und Subspezies bzw. differierende Stamme konnen anhand spektraler Unterschiede kompletter Zellen (IR-Fingerprints) in eindeutige Cluster und Subcluster eingeordnet werden. Die FT-IR-Analysen bei Candida albicans-Isolaten (n = 150) von 22 Risikoneugeborenen einer Intensivstation ergaben, das 86% der Kinder mit mehreren (2–4) unterschiedlichen Stammen in Mundhohle und Faeces besiedelt waren. Stationare Kreuzinfektionen liesien sich eindeutig nachweisen. Summary. Due to the Fourier-Transform Infrared Spectroscop)- (FT-IR) of strain specific traits demonstrated t o be a suitable and efficient method for diagnostic and epidemiological determinations for the yeasts Candida albicans, Exophiala dermatitidis and the chlorophylless algae of the genus Prototheca. FT-IR leads in a rapid and economical way to reproducible results according to the spectral differences of intact cells (IR-fingerprints). Different genera, species and sub-species respective13 different strains can be recognized and grouped into different clusters arid subclusters. The FT-IK analysis of Cundida albicans isolates (n = 150) of 22 nekvborns-at-risk of an intensive care unit sholvcd, that 86% of the children were colonised with seiwal (2–4) different strains in the oral cavities and faeces. Stationary cross-infections could definitely be determined. Erofihiala dumatitidis isolates (n = 31), mostly isolatcd repetitixdy within a period of 3 years from sputa of patients suffering from cystic fibrosis could be characterized and grouped patient-specificically over the total sampling period. Of 6 from 8 patients (75 %) their indi{idual strains remain the same and could be tracked over thr three years. Cross-infections during the stationary treatment could be clearly identified by FT-IR. Thr Protorheca isolate (n = 43) from live-stock and farm environment showed clear distinguishable clustrrs differrntiating the species 2 wickerhamii, P Zopji and Pstagnoru. In addition, the biotypes ofP'opji could bc distinguished, especially the subclusters of variants I1 and 111. It could be demonstrated, that FT-IR is suitable for the routine identification and differentiation of yeasts and algae. However. in spite of the gain of knowledge by using F7-IR for the characterization of microorganisms, the conventional phenotyping and/or Genetic analysis of cast or algae strains cannot be replaced completely For a final taxonomic classification a combination of conventional methods on FT-IR together with more sophisticated molecular Genetic Procedures is necessary.

Tommaso Calarco - One of the best experts on this subject based on the ideXlab platform.

  • Quantum Genetic Optimization
    IEEE Transactions on Evolutionary Computation, 2008
    Co-Authors: A. Malossini, Enrico Blanzieri, Tommaso Calarco
    Abstract:

    The complexity of the selection procedure of a Genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to varying fitness functions, is , where is the size of the population. The quantum Genetic optimization algorithm (QGOA) exploits the power of quantum computation in order to speed up Genetic Procedures. In QGOA, the classical fitness evaluation and selection Procedures are replaced by a single quantum procedure. While the quantum and classical Genetic algorithms use the same number of generations, the QGOA requires fewer operations to identify the high-fitness subpopulation at each generation. We show that the complexity of our QGOA is in terms of number of oracle calls in the selection procedure. Such theoretical results are confirmed by the simulations of the algorithm.

  • QGA: a Quantum Genetic Algorithm
    2004
    Co-Authors: A. Malossini, Enrico Blanzieri, Tommaso Calarco
    Abstract:

    The complexity of the selection procedure of a Genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to non–local or time–dependent fitness functions, is O(N logN) where N is the size of the population. Quantum Genetic Algorithm(QGA) exploits the power of quantum computation in order to speed up Genetic Procedures. In QGA the classical fitness evaluation and selection Procedures are replaced by a single quantum procedure. QGA outperforms a typical classical Genetic algorithm. We show that the complexity of our QGA is O(1) in terms of number of oracle calls in the selection procedure. Such theoretical results are confirmed by the simulations of the algorithm.

P Tränkle - One of the best experts on this subject based on the ideXlab platform.

  • Differentiation and characterization of yeasts pathogenic for humans (Candida albicans, Exophiala dermatitidis) and algae pathogenic for animals (Prototheca spp.) using Fourier transform infrared spectroscopy (FTIR) in comparison with conventional me
    Mycoses, 1998
    Co-Authors: A. F. Schmalreck, P Tränkle, E Vanca, R Blaschke-hellmessen
    Abstract:

    Due to the Fourier-Transform Infrared Spectroscopy (FT-IR) of strain specific traits demonstrated to be a suitable and efficient method for diagnostic and epidemiological determinations for the yeasts Candida albicans, Exophiala dermatitidis and the chlorophylless algae of the genus Prototheca. FT-IR leads in a rapid and economical way to reproducible results according to the spectral differences of intact cells (IR-fingerprints). Different genera, species and sub-species respectively, different strains can be recognized and grouped into different clusters and subclusters. The FT-IR analysis of Candida albicans isolates (n = 150) of 22 newborns-at-risk of an intensive care unit showed, that 86% of the children were colonised with several (2-4) different strains in the oral cavities and faeces. Stationary cross-infections could definitely be determined. Exophiala dermatitidis isolates (n = 31), mostly isolated repetitively within a period of 3 years from sputa of patients suffering from cystic fibrosis could be characterized and grouped patient-specifically over the total sampling period. Of 6 from 8 patients (75%) their individual strains remain the same and could be tracked over the three years. Cross-infections during the stationary treatment could be clearly identified by FT-IR. The Prototheca isolate (n = 43) from live-stock and farm environment showed clear distinguishable clusters differentiating the species P. wickerhamii, P. zopfii and P. stagnora. In addition, the biotypes of P. zopfii could be distinguished, especially the subclusters of variants II and III. It could be demonstrated, that FT-IR is suitable for the routine identification and differentiation of yeasts and algae. However, in spite of the gain of knowledge by using FT-IR for the characterization of microorganisms, the conventional phenotyping and/or Genetic analysis of yeast or algae strains cannot be replaced completely. For a final taxonomic classification a combination of conventional methods on FT-IR together with more sophisticated molecular Genetic Procedures is necessary.

  • differenzierung und charakterisierung von humanpathogenen hefen candida albicans exophiala dermatitidis und tierpathogenen algen prototheca spp mittels fourier transform infrarot spektroskopie ft ir im vergleich zu konventionellen methoden
    Mycoses, 1998
    Co-Authors: A. F. Schmalreck, P Tränkle, E Vanca, Renate Blaschkehellmessen
    Abstract:

    Zusammenfassung. Die Fourier-Transform-Infrarot-Spektroskopie (FT-IR) erwies sich als eine geeignete und effiziente Methode fur diagnostische und epidemiologische Bestimmungen bei den Hefen Candida albicans, Exophicla dermalitidis und chlorophyllosen Algen der Gattung Prototheca aufgrund eindeutig abgrenzbarer IR-Spektren stammspezifischer Merkmale. FT-IR fuhrt schnell und okonomisch zu reproduzierbaren Ergebnissen. Unterschiedliche Genera, Spezies und Subspezies bzw. differierende Stamme konnen anhand spektraler Unterschiede kompletter Zellen (IR-Fingerprints) in eindeutige Cluster und Subcluster eingeordnet werden. Die FT-IR-Analysen bei Candida albicans-Isolaten (n = 150) von 22 Risikoneugeborenen einer Intensivstation ergaben, das 86% der Kinder mit mehreren (2–4) unterschiedlichen Stammen in Mundhohle und Faeces besiedelt waren. Stationare Kreuzinfektionen liesien sich eindeutig nachweisen. Summary. Due to the Fourier-Transform Infrared Spectroscop)- (FT-IR) of strain specific traits demonstrated t o be a suitable and efficient method for diagnostic and epidemiological determinations for the yeasts Candida albicans, Exophiala dermatitidis and the chlorophylless algae of the genus Prototheca. FT-IR leads in a rapid and economical way to reproducible results according to the spectral differences of intact cells (IR-fingerprints). Different genera, species and sub-species respective13 different strains can be recognized and grouped into different clusters arid subclusters. The FT-IK analysis of Cundida albicans isolates (n = 150) of 22 nekvborns-at-risk of an intensive care unit sholvcd, that 86% of the children were colonised with seiwal (2–4) different strains in the oral cavities and faeces. Stationary cross-infections could definitely be determined. Erofihiala dumatitidis isolates (n = 31), mostly isolatcd repetitixdy within a period of 3 years from sputa of patients suffering from cystic fibrosis could be characterized and grouped patient-specificically over the total sampling period. Of 6 from 8 patients (75 %) their indi{idual strains remain the same and could be tracked over thr three years. Cross-infections during the stationary treatment could be clearly identified by FT-IR. Thr Protorheca isolate (n = 43) from live-stock and farm environment showed clear distinguishable clustrrs differrntiating the species 2 wickerhamii, P Zopji and Pstagnoru. In addition, the biotypes ofP'opji could bc distinguished, especially the subclusters of variants I1 and 111. It could be demonstrated, that FT-IR is suitable for the routine identification and differentiation of yeasts and algae. However. in spite of the gain of knowledge by using F7-IR for the characterization of microorganisms, the conventional phenotyping and/or Genetic analysis of cast or algae strains cannot be replaced completely For a final taxonomic classification a combination of conventional methods on FT-IR together with more sophisticated molecular Genetic Procedures is necessary.

E Vanca - One of the best experts on this subject based on the ideXlab platform.

  • Differentiation and characterization of yeasts pathogenic for humans (Candida albicans, Exophiala dermatitidis) and algae pathogenic for animals (Prototheca spp.) using Fourier transform infrared spectroscopy (FTIR) in comparison with conventional me
    Mycoses, 1998
    Co-Authors: A. F. Schmalreck, P Tränkle, E Vanca, R Blaschke-hellmessen
    Abstract:

    Due to the Fourier-Transform Infrared Spectroscopy (FT-IR) of strain specific traits demonstrated to be a suitable and efficient method for diagnostic and epidemiological determinations for the yeasts Candida albicans, Exophiala dermatitidis and the chlorophylless algae of the genus Prototheca. FT-IR leads in a rapid and economical way to reproducible results according to the spectral differences of intact cells (IR-fingerprints). Different genera, species and sub-species respectively, different strains can be recognized and grouped into different clusters and subclusters. The FT-IR analysis of Candida albicans isolates (n = 150) of 22 newborns-at-risk of an intensive care unit showed, that 86% of the children were colonised with several (2-4) different strains in the oral cavities and faeces. Stationary cross-infections could definitely be determined. Exophiala dermatitidis isolates (n = 31), mostly isolated repetitively within a period of 3 years from sputa of patients suffering from cystic fibrosis could be characterized and grouped patient-specifically over the total sampling period. Of 6 from 8 patients (75%) their individual strains remain the same and could be tracked over the three years. Cross-infections during the stationary treatment could be clearly identified by FT-IR. The Prototheca isolate (n = 43) from live-stock and farm environment showed clear distinguishable clusters differentiating the species P. wickerhamii, P. zopfii and P. stagnora. In addition, the biotypes of P. zopfii could be distinguished, especially the subclusters of variants II and III. It could be demonstrated, that FT-IR is suitable for the routine identification and differentiation of yeasts and algae. However, in spite of the gain of knowledge by using FT-IR for the characterization of microorganisms, the conventional phenotyping and/or Genetic analysis of yeast or algae strains cannot be replaced completely. For a final taxonomic classification a combination of conventional methods on FT-IR together with more sophisticated molecular Genetic Procedures is necessary.

  • differenzierung und charakterisierung von humanpathogenen hefen candida albicans exophiala dermatitidis und tierpathogenen algen prototheca spp mittels fourier transform infrarot spektroskopie ft ir im vergleich zu konventionellen methoden
    Mycoses, 1998
    Co-Authors: A. F. Schmalreck, P Tränkle, E Vanca, Renate Blaschkehellmessen
    Abstract:

    Zusammenfassung. Die Fourier-Transform-Infrarot-Spektroskopie (FT-IR) erwies sich als eine geeignete und effiziente Methode fur diagnostische und epidemiologische Bestimmungen bei den Hefen Candida albicans, Exophicla dermalitidis und chlorophyllosen Algen der Gattung Prototheca aufgrund eindeutig abgrenzbarer IR-Spektren stammspezifischer Merkmale. FT-IR fuhrt schnell und okonomisch zu reproduzierbaren Ergebnissen. Unterschiedliche Genera, Spezies und Subspezies bzw. differierende Stamme konnen anhand spektraler Unterschiede kompletter Zellen (IR-Fingerprints) in eindeutige Cluster und Subcluster eingeordnet werden. Die FT-IR-Analysen bei Candida albicans-Isolaten (n = 150) von 22 Risikoneugeborenen einer Intensivstation ergaben, das 86% der Kinder mit mehreren (2–4) unterschiedlichen Stammen in Mundhohle und Faeces besiedelt waren. Stationare Kreuzinfektionen liesien sich eindeutig nachweisen. Summary. Due to the Fourier-Transform Infrared Spectroscop)- (FT-IR) of strain specific traits demonstrated t o be a suitable and efficient method for diagnostic and epidemiological determinations for the yeasts Candida albicans, Exophiala dermatitidis and the chlorophylless algae of the genus Prototheca. FT-IR leads in a rapid and economical way to reproducible results according to the spectral differences of intact cells (IR-fingerprints). Different genera, species and sub-species respective13 different strains can be recognized and grouped into different clusters arid subclusters. The FT-IK analysis of Cundida albicans isolates (n = 150) of 22 nekvborns-at-risk of an intensive care unit sholvcd, that 86% of the children were colonised with seiwal (2–4) different strains in the oral cavities and faeces. Stationary cross-infections could definitely be determined. Erofihiala dumatitidis isolates (n = 31), mostly isolatcd repetitixdy within a period of 3 years from sputa of patients suffering from cystic fibrosis could be characterized and grouped patient-specificically over the total sampling period. Of 6 from 8 patients (75 %) their indi{idual strains remain the same and could be tracked over thr three years. Cross-infections during the stationary treatment could be clearly identified by FT-IR. Thr Protorheca isolate (n = 43) from live-stock and farm environment showed clear distinguishable clustrrs differrntiating the species 2 wickerhamii, P Zopji and Pstagnoru. In addition, the biotypes ofP'opji could bc distinguished, especially the subclusters of variants I1 and 111. It could be demonstrated, that FT-IR is suitable for the routine identification and differentiation of yeasts and algae. However. in spite of the gain of knowledge by using F7-IR for the characterization of microorganisms, the conventional phenotyping and/or Genetic analysis of cast or algae strains cannot be replaced completely For a final taxonomic classification a combination of conventional methods on FT-IR together with more sophisticated molecular Genetic Procedures is necessary.

A. Malossini - One of the best experts on this subject based on the ideXlab platform.

  • Quantum Genetic Optimization
    IEEE Transactions on Evolutionary Computation, 2008
    Co-Authors: A. Malossini, Enrico Blanzieri, Tommaso Calarco
    Abstract:

    The complexity of the selection procedure of a Genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to varying fitness functions, is , where is the size of the population. The quantum Genetic optimization algorithm (QGOA) exploits the power of quantum computation in order to speed up Genetic Procedures. In QGOA, the classical fitness evaluation and selection Procedures are replaced by a single quantum procedure. While the quantum and classical Genetic algorithms use the same number of generations, the QGOA requires fewer operations to identify the high-fitness subpopulation at each generation. We show that the complexity of our QGOA is in terms of number of oracle calls in the selection procedure. Such theoretical results are confirmed by the simulations of the algorithm.

  • QGA: a Quantum Genetic Algorithm
    2004
    Co-Authors: A. Malossini, Enrico Blanzieri, Tommaso Calarco
    Abstract:

    The complexity of the selection procedure of a Genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to non–local or time–dependent fitness functions, is O(N logN) where N is the size of the population. Quantum Genetic Algorithm(QGA) exploits the power of quantum computation in order to speed up Genetic Procedures. In QGA the classical fitness evaluation and selection Procedures are replaced by a single quantum procedure. QGA outperforms a typical classical Genetic algorithm. We show that the complexity of our QGA is O(1) in terms of number of oracle calls in the selection procedure. Such theoretical results are confirmed by the simulations of the algorithm.