The Experts below are selected from a list of 302619 Experts worldwide ranked by ideXlab platform

Alessandro Marroni - One of the best experts on this subject based on the ideXlab platform.

  • dive risk factors gas bubble formation and decompression illness in recreational scuba diving analysis of dan europe dsl data base
    Frontiers in Psychology, 2017
    Co-Authors: Danilo Cialoni, Michelle Pieri, Costantino Balestra, Alessandro Marroni
    Abstract:

    Introduction: The popularity of SCUBA diving is steadily increasing together with the number of dives and correlated diseases per year. The rules that govern correct decompression procedures are considered well known even if the majority of Decompression Sickness (DCS) cases are considered unexpected confirming a bias in the “mathematical ability” to predict DCS by the current algorithms. Furthermore, little is still known about diving risk factors and any individual predisposition to DCS. This study provides an in-depth epidemiological analysis of the diving community, to include additional risk factors correlated with the development of circulating bubbles and DCS. Materials and Methods: An originally Developed Database (DAN DB) including specific questionnaires for data collection allowed the statistical analysis of 39099 electronically recorded open circuit dives made by 2629 European divers (2189 males 83.3%, 440 females 16.7%) over five years. The same dive parameters and risk factors were investigated also in 970 out of the 39099 collected dives investigated for bubble formation, by 1-minute precordial Doppler, and in 320 sea-level dives followed by DCS symptoms. Results: Mean depth and GF High of all the recorded dives were 27.1 m, and 0.66 respectively; the average ascent speed was lower than the currently recommended “safe” one (9-10 m/min). We found statistically significant relationships between higher bubble grades and BMI, fat mass, age and diving exposure. Regarding incidence of DCS, we identified additional non-bubble related risk factors, which appear significantly related to a higher DCS incidence, namely: gender, strong current, heavy exercise and workload during diving. We found that the majority of the recorded DCS cases were not predicted by the adopted decompression algorithm and would have therefore been defined as “undeserved”. Conclusion: The DAN DB analysis shows that most dives were made in a “safe zone”, even if data show an evident “grey area” in the “mathematical” ability to predict DCS by the current algorithms Some other risk factors seem to influence the possibility to develop DCS, irrespective of their effect on bubble formation, thus suggesting the existence of some factors influencing or enhancing the effects of bubbles.

  • dive risk factors gas bubble formation and decompression illness in recreational scuba diving analysis of dan europe dsl data base
    Frontiers in Psychology, 2017
    Co-Authors: Danilo Cialoni, Costantino Balestra, Massimo Pieri, Alessandro Marroni
    Abstract:

    Introduction: The popularity of SCUBA diving is steadily increasing together with the number of dives and correlated diseases per year. The rules that govern correct decompression procedures are considered well known even if the majority of Decompression Sickness (DCS) cases are considered unexpected confirming a bias in the "mathematical ability" to predict DCS by the current algorithms. Furthermore, little is still known about diving risk factors and any individual predisposition to DCS. This study provides an in-depth epidemiological analysis of the diving community, to include additional risk factors correlated with the development of circulating bubbles and DCS. Materials and Methods: An originally Developed Database (DAN DB) including specific questionnaires for data collection allowed the statistical analysis of 39,099 electronically recorded open circuit dives made by 2,629 European divers (2,189 males 83.3%, 440 females 16.7%) over 5 years. The same dive parameters and risk factors were investigated also in 970 out of the 39,099 collected dives investigated for bubble formation, by 1-min precordial Doppler, and in 320 sea-level dives followed by DCS symptoms. Results: Mean depth and GF high of all the recorded dives were 27.1 m, and 0.66, respectively; the average ascent speed was lower than the currently recommended "safe" one (9-10 m/min). We found statistically significant relationships between higher bubble grades and BMI, fat mass, age, and diving exposure. Regarding incidence of DCS, we identified additional non-bubble related risk factors, which appear significantly related to a higher DCS incidence, namely: gender, strong current, heavy exercise, and workload during diving. We found that the majority of the recorded DCS cases were not predicted by the adopted decompression algorithm and would have therefore been defined as "undeserved." Conclusion: The DAN DB analysis shows that most dives were made in a "safe zone," even if data show an evident "gray area" in the "mathematical" ability to predict DCS by the current algorithms. Some other risk factors seem to influence the possibility to develop DCS, irrespective of their effect on bubble formation, thus suggesting the existence of some factors influencing or enhancing the effects of bubbles.

Danilo Cialoni - One of the best experts on this subject based on the ideXlab platform.

  • dive risk factors gas bubble formation and decompression illness in recreational scuba diving analysis of dan europe dsl data base
    Frontiers in Psychology, 2017
    Co-Authors: Danilo Cialoni, Michelle Pieri, Costantino Balestra, Alessandro Marroni
    Abstract:

    Introduction: The popularity of SCUBA diving is steadily increasing together with the number of dives and correlated diseases per year. The rules that govern correct decompression procedures are considered well known even if the majority of Decompression Sickness (DCS) cases are considered unexpected confirming a bias in the “mathematical ability” to predict DCS by the current algorithms. Furthermore, little is still known about diving risk factors and any individual predisposition to DCS. This study provides an in-depth epidemiological analysis of the diving community, to include additional risk factors correlated with the development of circulating bubbles and DCS. Materials and Methods: An originally Developed Database (DAN DB) including specific questionnaires for data collection allowed the statistical analysis of 39099 electronically recorded open circuit dives made by 2629 European divers (2189 males 83.3%, 440 females 16.7%) over five years. The same dive parameters and risk factors were investigated also in 970 out of the 39099 collected dives investigated for bubble formation, by 1-minute precordial Doppler, and in 320 sea-level dives followed by DCS symptoms. Results: Mean depth and GF High of all the recorded dives were 27.1 m, and 0.66 respectively; the average ascent speed was lower than the currently recommended “safe” one (9-10 m/min). We found statistically significant relationships between higher bubble grades and BMI, fat mass, age and diving exposure. Regarding incidence of DCS, we identified additional non-bubble related risk factors, which appear significantly related to a higher DCS incidence, namely: gender, strong current, heavy exercise and workload during diving. We found that the majority of the recorded DCS cases were not predicted by the adopted decompression algorithm and would have therefore been defined as “undeserved”. Conclusion: The DAN DB analysis shows that most dives were made in a “safe zone”, even if data show an evident “grey area” in the “mathematical” ability to predict DCS by the current algorithms Some other risk factors seem to influence the possibility to develop DCS, irrespective of their effect on bubble formation, thus suggesting the existence of some factors influencing or enhancing the effects of bubbles.

  • dive risk factors gas bubble formation and decompression illness in recreational scuba diving analysis of dan europe dsl data base
    Frontiers in Psychology, 2017
    Co-Authors: Danilo Cialoni, Costantino Balestra, Massimo Pieri, Alessandro Marroni
    Abstract:

    Introduction: The popularity of SCUBA diving is steadily increasing together with the number of dives and correlated diseases per year. The rules that govern correct decompression procedures are considered well known even if the majority of Decompression Sickness (DCS) cases are considered unexpected confirming a bias in the "mathematical ability" to predict DCS by the current algorithms. Furthermore, little is still known about diving risk factors and any individual predisposition to DCS. This study provides an in-depth epidemiological analysis of the diving community, to include additional risk factors correlated with the development of circulating bubbles and DCS. Materials and Methods: An originally Developed Database (DAN DB) including specific questionnaires for data collection allowed the statistical analysis of 39,099 electronically recorded open circuit dives made by 2,629 European divers (2,189 males 83.3%, 440 females 16.7%) over 5 years. The same dive parameters and risk factors were investigated also in 970 out of the 39,099 collected dives investigated for bubble formation, by 1-min precordial Doppler, and in 320 sea-level dives followed by DCS symptoms. Results: Mean depth and GF high of all the recorded dives were 27.1 m, and 0.66, respectively; the average ascent speed was lower than the currently recommended "safe" one (9-10 m/min). We found statistically significant relationships between higher bubble grades and BMI, fat mass, age, and diving exposure. Regarding incidence of DCS, we identified additional non-bubble related risk factors, which appear significantly related to a higher DCS incidence, namely: gender, strong current, heavy exercise, and workload during diving. We found that the majority of the recorded DCS cases were not predicted by the adopted decompression algorithm and would have therefore been defined as "undeserved." Conclusion: The DAN DB analysis shows that most dives were made in a "safe zone," even if data show an evident "gray area" in the "mathematical" ability to predict DCS by the current algorithms. Some other risk factors seem to influence the possibility to develop DCS, irrespective of their effect on bubble formation, thus suggesting the existence of some factors influencing or enhancing the effects of bubbles.

Costantino Balestra - One of the best experts on this subject based on the ideXlab platform.

  • dive risk factors gas bubble formation and decompression illness in recreational scuba diving analysis of dan europe dsl data base
    Frontiers in Psychology, 2017
    Co-Authors: Danilo Cialoni, Michelle Pieri, Costantino Balestra, Alessandro Marroni
    Abstract:

    Introduction: The popularity of SCUBA diving is steadily increasing together with the number of dives and correlated diseases per year. The rules that govern correct decompression procedures are considered well known even if the majority of Decompression Sickness (DCS) cases are considered unexpected confirming a bias in the “mathematical ability” to predict DCS by the current algorithms. Furthermore, little is still known about diving risk factors and any individual predisposition to DCS. This study provides an in-depth epidemiological analysis of the diving community, to include additional risk factors correlated with the development of circulating bubbles and DCS. Materials and Methods: An originally Developed Database (DAN DB) including specific questionnaires for data collection allowed the statistical analysis of 39099 electronically recorded open circuit dives made by 2629 European divers (2189 males 83.3%, 440 females 16.7%) over five years. The same dive parameters and risk factors were investigated also in 970 out of the 39099 collected dives investigated for bubble formation, by 1-minute precordial Doppler, and in 320 sea-level dives followed by DCS symptoms. Results: Mean depth and GF High of all the recorded dives were 27.1 m, and 0.66 respectively; the average ascent speed was lower than the currently recommended “safe” one (9-10 m/min). We found statistically significant relationships between higher bubble grades and BMI, fat mass, age and diving exposure. Regarding incidence of DCS, we identified additional non-bubble related risk factors, which appear significantly related to a higher DCS incidence, namely: gender, strong current, heavy exercise and workload during diving. We found that the majority of the recorded DCS cases were not predicted by the adopted decompression algorithm and would have therefore been defined as “undeserved”. Conclusion: The DAN DB analysis shows that most dives were made in a “safe zone”, even if data show an evident “grey area” in the “mathematical” ability to predict DCS by the current algorithms Some other risk factors seem to influence the possibility to develop DCS, irrespective of their effect on bubble formation, thus suggesting the existence of some factors influencing or enhancing the effects of bubbles.

  • dive risk factors gas bubble formation and decompression illness in recreational scuba diving analysis of dan europe dsl data base
    Frontiers in Psychology, 2017
    Co-Authors: Danilo Cialoni, Costantino Balestra, Massimo Pieri, Alessandro Marroni
    Abstract:

    Introduction: The popularity of SCUBA diving is steadily increasing together with the number of dives and correlated diseases per year. The rules that govern correct decompression procedures are considered well known even if the majority of Decompression Sickness (DCS) cases are considered unexpected confirming a bias in the "mathematical ability" to predict DCS by the current algorithms. Furthermore, little is still known about diving risk factors and any individual predisposition to DCS. This study provides an in-depth epidemiological analysis of the diving community, to include additional risk factors correlated with the development of circulating bubbles and DCS. Materials and Methods: An originally Developed Database (DAN DB) including specific questionnaires for data collection allowed the statistical analysis of 39,099 electronically recorded open circuit dives made by 2,629 European divers (2,189 males 83.3%, 440 females 16.7%) over 5 years. The same dive parameters and risk factors were investigated also in 970 out of the 39,099 collected dives investigated for bubble formation, by 1-min precordial Doppler, and in 320 sea-level dives followed by DCS symptoms. Results: Mean depth and GF high of all the recorded dives were 27.1 m, and 0.66, respectively; the average ascent speed was lower than the currently recommended "safe" one (9-10 m/min). We found statistically significant relationships between higher bubble grades and BMI, fat mass, age, and diving exposure. Regarding incidence of DCS, we identified additional non-bubble related risk factors, which appear significantly related to a higher DCS incidence, namely: gender, strong current, heavy exercise, and workload during diving. We found that the majority of the recorded DCS cases were not predicted by the adopted decompression algorithm and would have therefore been defined as "undeserved." Conclusion: The DAN DB analysis shows that most dives were made in a "safe zone," even if data show an evident "gray area" in the "mathematical" ability to predict DCS by the current algorithms. Some other risk factors seem to influence the possibility to develop DCS, irrespective of their effect on bubble formation, thus suggesting the existence of some factors influencing or enhancing the effects of bubbles.

Patrick Giavalisco - One of the best experts on this subject based on the ideXlab platform.

  • ultra performance liquid chromatography and high resolution mass spectrometry for the analysis of plant lipids
    Frontiers in Plant Science, 2011
    Co-Authors: Jan Hummel, Shruthi Segu, Susann Irgang, Jessica Jueppner, Patrick Giavalisco
    Abstract:

    Holistic analysis of lipids is becoming increasingly popular in the life sciences. Recently, several interesting, mass spectrometry-based studies have been conducted, especially in plant biology. However, while great advancements have been made we are still far from detecting all the lipids species in an organism. In this study we Developed an ultra performance liquid chromatography-based method using a high resolution, accurate mass, mass spectrometer for the comprehensive profiling of more than 260 polar and non-polar Arabidopsis thaliana leaf lipids. The method is fully compatible to the commonly used lipid extraction protocols and provides a viable alternative to the commonly used direct infusion-based shotgun lipidomics approaches. The whole process is described in detail and compared to alternative lipidomic approaches. Next to the Developed method we also introduce an in-house Developed Database search software (GoBioSpace), which allows one to perform targeted or un-targeted lipidomic and metabolomic analysis on mass spectrometric data of every kind.

  • high resolution direct infusion based mass spectrometry in combination with whole 13c metabolome isotope labeling allows unambiguous assignment of chemical sum formulas
    Analytical Chemistry, 2008
    Co-Authors: Patrick Giavalisco, Alvaro Cuadros Inostroza, Gareth Catchpole, Jan Hummel, Jan Lisec, Lothar Willmitzer
    Abstract:

    A new strategy for direct infusion-based metabolite analysis employing a combination of high-resolution mass spectrometry and 13C-isotope labeling of entire metabolomes is described. Differentially isotope labeled metabolite extracts from otherwise identically grown reference plants were prepared and infused into a Fourier transform ion cyclotron resonance mass spectrometer. The derived accurate mass lists from each extract were searched, using an in-house-Developed Database search tool, against a number of comprehensive metabolite Databases. Comparison of the retrieved chemical formulas from both, the 12C and 13C samples, leads to two major advantages compared to nonisotope-based metabolite fingerprinting: first, removal of background contaminations from the result list, due to the 12C/13C peak pairing principle and therefore positive identification of compounds of true biological origin; second, elimination of ambiguity in chemical formula assignment due to the same principle, leading to the clear assoc...

Jan Hummel - One of the best experts on this subject based on the ideXlab platform.

  • ultra performance liquid chromatography and high resolution mass spectrometry for the analysis of plant lipids
    Frontiers in Plant Science, 2011
    Co-Authors: Jan Hummel, Shruthi Segu, Susann Irgang, Jessica Jueppner, Patrick Giavalisco
    Abstract:

    Holistic analysis of lipids is becoming increasingly popular in the life sciences. Recently, several interesting, mass spectrometry-based studies have been conducted, especially in plant biology. However, while great advancements have been made we are still far from detecting all the lipids species in an organism. In this study we Developed an ultra performance liquid chromatography-based method using a high resolution, accurate mass, mass spectrometer for the comprehensive profiling of more than 260 polar and non-polar Arabidopsis thaliana leaf lipids. The method is fully compatible to the commonly used lipid extraction protocols and provides a viable alternative to the commonly used direct infusion-based shotgun lipidomics approaches. The whole process is described in detail and compared to alternative lipidomic approaches. Next to the Developed method we also introduce an in-house Developed Database search software (GoBioSpace), which allows one to perform targeted or un-targeted lipidomic and metabolomic analysis on mass spectrometric data of every kind.

  • high resolution direct infusion based mass spectrometry in combination with whole 13c metabolome isotope labeling allows unambiguous assignment of chemical sum formulas
    Analytical Chemistry, 2008
    Co-Authors: Patrick Giavalisco, Alvaro Cuadros Inostroza, Gareth Catchpole, Jan Hummel, Jan Lisec, Lothar Willmitzer
    Abstract:

    A new strategy for direct infusion-based metabolite analysis employing a combination of high-resolution mass spectrometry and 13C-isotope labeling of entire metabolomes is described. Differentially isotope labeled metabolite extracts from otherwise identically grown reference plants were prepared and infused into a Fourier transform ion cyclotron resonance mass spectrometer. The derived accurate mass lists from each extract were searched, using an in-house-Developed Database search tool, against a number of comprehensive metabolite Databases. Comparison of the retrieved chemical formulas from both, the 12C and 13C samples, leads to two major advantages compared to nonisotope-based metabolite fingerprinting: first, removal of background contaminations from the result list, due to the 12C/13C peak pairing principle and therefore positive identification of compounds of true biological origin; second, elimination of ambiguity in chemical formula assignment due to the same principle, leading to the clear assoc...