The Experts below are selected from a list of 2364783 Experts worldwide ranked by ideXlab platform
Dana V Devine - One of the best experts on this subject based on the ideXlab platform.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Pieter F Van Der Meer, Jason P Acker, R Cardigan, Dana V DevineAbstract:Hemolysis of red blood cells (RBCs)during blood bank storage is the most obvious manifes-tation of RBC storage system failure. However, itsanalysis is made difficult because the largest source ofinterunit difference is donor specific. Availability of Datafrom national blood systems on large numbers of RBCunits used for internal quality control (QC) purposesand stored and processed in uniform ways permits sta-tistical analysis.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
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blood components red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
John R Hess - One of the best experts on this subject based on the ideXlab platform.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Pieter F Van Der Meer, Jason P Acker, R Cardigan, Dana V DevineAbstract:Hemolysis of red blood cells (RBCs)during blood bank storage is the most obvious manifes-tation of RBC storage system failure. However, itsanalysis is made difficult because the largest source ofinterunit difference is donor specific. Availability of Datafrom national blood systems on large numbers of RBCunits used for internal quality control (QC) purposesand stored and processed in uniform ways permits sta-tistical analysis.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
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blood components red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
Keara Barrett - One of the best experts on this subject based on the ideXlab platform.
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The Design of a New Policy Model to Support Ontology-Driven Reasoning for Autonomic Networking
Journal of Network and Systems Management, 2009Co-Authors: John Strassner, Keara Barrett, D Raymer, Steven Davy, José Neuman De Souza, Sven Meer, Srini SamudralaAbstract:The purpose of autonomic networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network Management Data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze Management Data, which include information and Data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different Data in different formats. This paper describes a new version of the Directory Enabled Networks next generation (DEN-ng) policy model, which is part of the FOCALE autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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The design of a new policy model to support ontology-driven reasoning for autonomic networking
Journal of Network and Systems Management, 2009Co-Authors: José Neuman de Souza, Keara Barrett, Srini Samudrala, Steven Davy, José Neuman De Souza, John Strassner, Sven Van Der Meer, D RaymerAbstract:The purpose of autonomic networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network Management Data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze Management Data, which include information and Data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different Data in different formats. This paper describes a new version of the DEN-ng policy model, which is part of the FOCALE autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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The design of a novel context-aware policy model to support machine-based learning and reasoning
Cluster Computing, 2009Co-Authors: John Strassner, José Neuman de Souza, Srini Samudrala, D Raymer, Steven Davy, Keara BarrettAbstract:The purpose of autonomic networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network Management Data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze Management Data are all different, and hence require different Data in different formats. This complicates the construction of context from diverse information sources. This paper describes a new version of the DEN-ng context-aware policy model, which is part of the FOCALE autonomic network architecture. This model has been built using three guiding principles: (1) both the context model and the policy model are rooted in information models, so that they can govern managed entities, (2) each model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language that supports machine-based reasoning and learning can be developed from it.
R Cardigan - One of the best experts on this subject based on the ideXlab platform.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Pieter F Van Der Meer, Jason P Acker, R Cardigan, Dana V DevineAbstract:Hemolysis of red blood cells (RBCs)during blood bank storage is the most obvious manifes-tation of RBC storage system failure. However, itsanalysis is made difficult because the largest source ofinterunit difference is donor specific. Availability of Datafrom national blood systems on large numbers of RBCunits used for internal quality control (QC) purposesand stored and processed in uniform ways permits sta-tistical analysis.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
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blood components red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
Jason P Acker - One of the best experts on this subject based on the ideXlab platform.
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red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Pieter F Van Der Meer, Jason P Acker, R Cardigan, Dana V DevineAbstract:Hemolysis of red blood cells (RBCs)during blood bank storage is the most obvious manifes-tation of RBC storage system failure. However, itsanalysis is made difficult because the largest source ofinterunit difference is donor specific. Availability of Datafrom national blood systems on large numbers of RBCunits used for internal quality control (QC) purposesand stored and processed in uniform ways permits sta-tistical analysis.
-
red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
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blood components red blood cell hemolysis during blood bank storage using national quality Management Data to answer basic scientific questions
Transfusion, 2009Co-Authors: John R Hess, Rosemary L Sparrow, Jason P Acker, R Cardigan, Pieter F Van Der Meer, Dana V DevineAbstract:BACKGROUND: Hemolysis of red blood cells (RBCs) during blood bank storage is the most obvious manifestation of RBC storage system failure. However, its analysis is made difficult because the largest source of interunit difference is donor specific. Availability of Data from national blood systems on large numbers of RBC units used for internal quality control (QC) purposes and stored and processed in uniform ways permits statistical analysis. STUDY DESIGN AND METHODS: Measures of hemolysis during and at the end of storage on randomly selected donor units observed for QC purposes were obtained from four national blood systems. Groups of these measures from units that had undergone similar processing and storage were sorted to create histograms and the histograms were compared statistically. RESULTS: A total of 14,087 measures were obtained under seven storage conditions, including more than 12,000 measures made in a single country under four closely related conditions. Distributions of percent hemolysis are skewed normal and outliers are random. Additive solutions appear to be equivalent, except that the 42 mmol/L mannitol in AS-1 reduces hemolysis compared to conventional 30 mmol/L mannitol in saline, adenine, glucose, and mannitol. Increasing storage from 35 to 42 days increased measured hemolysis by 30% and leukoreduction decreased it by 53%. CONCLUSIONS: Large national Data sets provide useful information about the distribution of hemolysis at the end of RBC storage. This information can aid blood storage system development and regulatory science.
