The Experts below are selected from a list of 28494 Experts worldwide ranked by ideXlab platform
Annarosa Mangone - One of the best experts on this subject based on the ideXlab platform.
-
an archaeometric approach to Gain Knowledge on technology and provenance of apulian red figured pottery from taranto
Archaeological and Anthropological Sciences, 2017Co-Authors: Lorena Carla Giannossa, Rosa Maria Mininni, Rocco Laviano, Fabrizio Mastrorocco, Maria Cristina Caggiani, Annarosa MangoneAbstract:A large sampling of Apulian red-figured pottery fragments (fifth to fourth century BC) coming from Taranto (Italy) was analyzed by a multi-technique approach. The ceramic bodies’ elemental composition has been obtained by inductively coupled plasma mass spectrometry (ICP-MS), the mineralogical composition of pastes by polarized-light optical and electron microscopies (OM and SEM-EDS), and X-ray powder diffraction (PXRD). The results obtained from the statistical treatment of compositional data, combined with those driven from mineralogical composition of pastes, allow to formulate hypotheses about the provenance of the objects and the manufacturing tradition of the workshops, starting to make it possible to understand the relationships among ceramic technology, artistic expression, and workshop practice in the samples analyzed.
-
An archaeometric approach to Gain Knowledge on technology and provenance of Apulian red-figured pottery from Taranto
Archaeological and Anthropological Sciences, 2016Co-Authors: Lorena Carla Giannossa, Rosa Maria Mininni, Rocco Laviano, Fabrizio Mastrorocco, Maria Cristina Caggiani, Annarosa MangoneAbstract:(fifth to fourth century BC) coming from Taranto\ud (Italy) was analyzed by a multi-technique approach. The ceramic\ud bodies’ elemental composition has been obtained by\ud inductively coupled plasma mass spectrometry (ICP-MS),\ud the mineralogical composition of pastes by polarized-light\ud optical and electron microscopies (OM and SEM-EDS), and\ud X-ray powder diffraction (PXRD). The results obtained from\ud the statistical treatment of compositional data, combined with\ud those driven from mineralogical composition of pastes, allow\ud to formulate hypotheses about the provenance of the objects\ud and the manufacturing tradition of the workshops, starting to\ud make it possible to understand the relationships among ceramic\ud technology, artistic expression, and workshop practice in\ud the samples analyzed
Sira Vegas - One of the best experts on this subject based on the ideXlab platform.
-
Using differences among replications of software engineering experiments to Gain Knowledge
2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010), 2010Co-Authors: Natalia Juristo, Sira VegasAbstract:In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new Knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.
-
MSR - Using differences among replications of software engineering experiments to Gain Knowledge
2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010), 2010Co-Authors: Natalia Juristo, Sira VegasAbstract:In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new Knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.
-
ESEM - Using differences among replications of software engineering experiments to Gain Knowledge
2009 3rd International Symposium on Empirical Software Engineering and Measurement, 2009Co-Authors: Natalia Juristo, Sira VegasAbstract:In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new Knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.
Dorota Szostakwegierek - One of the best experts on this subject based on the ideXlab platform.
-
evaluation of questionnaire as an instrument to measure the level of nutritional and weight Gain Knowledge in pregnant women in poland a pilot study
PLOS ONE, 2020Co-Authors: Ewa J Mierzejewska, Talita Honoratorzeszewicz, Dorota świątkowska, Marzena Jurczakczaplicka, Tomasz Maciejewski, Anna Fijalkowska, Jagna Szulckaminska, Anna Czach, Hanna Nalecz, Dorota SzostakwegierekAbstract:: Pregnancy is a period in life in which women are willing to improve their lifestyle. Providing proper information for these women is crucial for their health and the health of their offspring. Clear information about weak points in their nutritional and weight Gain Knowledge is the first step for proper health care assistance. There are a few previous studies evaluating the nutritional and weight Gain Knowledge of pregnant women. In the few studies available, different approaches were taken and there was no wider discussion on the content of the questionnaires attempting to measure level of Knowledge. The aim of this study, designed in a pilot fashion, was to test the adequacy of the questionnaire as a research instrument in a group of 139 pregnant Polish women. The developed instrument is a 33-item questionnaire comprising four domains: weight Gain, importance of nutrients, quality and quantity of food intake. The results of this study indicate that the questionnaire is stable and internal consistency is acceptable (Cronbach's alpha > 0.7) for dimensions with more than four items. For dimensions with less than four items, internal consistency was poor (Cronbach's alpha < 0.7). The cumulative explained variance for domains weight Gain, importance of nutrients, quantity and quality of food intake was 54.74%, 42.74%, 54.42% and 48.99% respectively. Results from validity, reliability and factor analysis indicate that the questionnaire is adequate for its purpose.
Lorena Carla Giannossa - One of the best experts on this subject based on the ideXlab platform.
-
an archaeometric approach to Gain Knowledge on technology and provenance of apulian red figured pottery from taranto
Archaeological and Anthropological Sciences, 2017Co-Authors: Lorena Carla Giannossa, Rosa Maria Mininni, Rocco Laviano, Fabrizio Mastrorocco, Maria Cristina Caggiani, Annarosa MangoneAbstract:A large sampling of Apulian red-figured pottery fragments (fifth to fourth century BC) coming from Taranto (Italy) was analyzed by a multi-technique approach. The ceramic bodies’ elemental composition has been obtained by inductively coupled plasma mass spectrometry (ICP-MS), the mineralogical composition of pastes by polarized-light optical and electron microscopies (OM and SEM-EDS), and X-ray powder diffraction (PXRD). The results obtained from the statistical treatment of compositional data, combined with those driven from mineralogical composition of pastes, allow to formulate hypotheses about the provenance of the objects and the manufacturing tradition of the workshops, starting to make it possible to understand the relationships among ceramic technology, artistic expression, and workshop practice in the samples analyzed.
-
An archaeometric approach to Gain Knowledge on technology and provenance of Apulian red-figured pottery from Taranto
Archaeological and Anthropological Sciences, 2016Co-Authors: Lorena Carla Giannossa, Rosa Maria Mininni, Rocco Laviano, Fabrizio Mastrorocco, Maria Cristina Caggiani, Annarosa MangoneAbstract:(fifth to fourth century BC) coming from Taranto\ud (Italy) was analyzed by a multi-technique approach. The ceramic\ud bodies’ elemental composition has been obtained by\ud inductively coupled plasma mass spectrometry (ICP-MS),\ud the mineralogical composition of pastes by polarized-light\ud optical and electron microscopies (OM and SEM-EDS), and\ud X-ray powder diffraction (PXRD). The results obtained from\ud the statistical treatment of compositional data, combined with\ud those driven from mineralogical composition of pastes, allow\ud to formulate hypotheses about the provenance of the objects\ud and the manufacturing tradition of the workshops, starting to\ud make it possible to understand the relationships among ceramic\ud technology, artistic expression, and workshop practice in\ud the samples analyzed
Natalia Juristo - One of the best experts on this subject based on the ideXlab platform.
-
Using differences among replications of software engineering experiments to Gain Knowledge
2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010), 2010Co-Authors: Natalia Juristo, Sira VegasAbstract:In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new Knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.
-
MSR - Using differences among replications of software engineering experiments to Gain Knowledge
2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010), 2010Co-Authors: Natalia Juristo, Sira VegasAbstract:In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new Knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.
-
ESEM - Using differences among replications of software engineering experiments to Gain Knowledge
2009 3rd International Symposium on Empirical Software Engineering and Measurement, 2009Co-Authors: Natalia Juristo, Sira VegasAbstract:In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new Knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.
