The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
J.a. Kennewell - One of the best experts on this subject based on the ideXlab platform.
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TAROT: a network for space surveillance and tracking operations
2017Co-Authors: Michel Boer, Alain Klotz, Romain Laugier, Pascal Richard, Juan Carlos Dolado Pérez, Laurent Lapasset, Agnès Verzeni, Sébastien Théron, David Coward, J.a. KennewellAbstract:TAROT: a network for space surveillance and tracking operations The TAROT (Telescope a Action Rapide pour les Objets Transitoires – Rapid Action Telescope for Transient Objects) network of telescopes consists of two 25cm aperture telescopes located at the Calern Observatory (TCA, OCA, France), the La Silla Observatory (TCH, ESO, Chile), and a 18cm telescope at Les Makes Observatory, (TRE, France). In addition we use the Zadko 1m telescope at the Gingin Observatory (ZDK, UWA, Australia). A central service in France, called CADOR (Centre d’Analyse des Donnees des Observatoires Robotiques, Centre for the Data Analysis of Robotic Observatories), acts as an interface for users, runs the scheduling system over the network, archive the data and run the core database. Since 1999 we perform observations of Resident Space Objects (RSO). Over the time we have implemented the observation of RSOs, mostly debris, on the geostationary orbit, and of passing objects in eccentric orbits, such as the GTO, or MEO/HEO. A specific data reduction pipeline with new methods for the image analysis has been developed and implemented by the CNES space debris modelling and risk assessments office to Extract, Process Space observations and to catalogue RSOs. As an example, in 2015, TCA has performed over 17000 measurements over the GEO monthly (average). TRE has been adapted to the observation of RSOs in November 2016, and it has made for its first 12 nights over 11000 measurements. In 2016, preliminary results show that the availability of the telescopes (TCA and TCH) is on the order of 90%. The TAROT network was recently used to observe the Arianne V233 Galileo launch, allowing observing the separation of the four satellites from the upper stage of the launcher, acquiring rare images of the passivation phase. We are now implementing operational procedures to use the TAROT network for the support of the CAESAR collision assessment system of the CNES. In this paper we present here the TAROT network, the methods and strategies we have developed, as well as statistics of measurements, some specific examples, and the perspective of the network within the context of Space Surveillance and Tracking.
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TAROT: a network for space surveillance and tracking operations
2017Co-Authors: Michel Boer, Alain Klotz, Romain Laugier, Pascal Richard, Laurent Lapasset, Agnès Verzeni, Sébastien Théron, David Coward, Juan Carlos Dolado Pérez, J.a. KennewellAbstract:TAROT: a network for space surveillance and tracking operations The TAROT (Télescope à Action Rapide pour les Objets Transitoires – Rapid Action Telescope for Transient Objects) network of telescopes consists of two 25cm aperture telescopes located at the Calern Observatory (TCA, OCA, France), the La Silla Observatory (TCH, ESO, Chile), and a 18cm telescope at Les Makes Observatory, (TRE, France). In addition we use the Zadko 1m telescope at the Gingin Observatory (ZDK, UWA, Australia). A central service in France, called CADOR (Centre d’Analyse des Données des Observatoires Robotiques, Centre for the Data Analysis of Robotic Observatories), acts as an interface for users, runs the scheduling system over the network, archive the data and run the core database. Since 1999 we perform observations of Resident Space Objects (RSO). Over the time we have implemented the observation of RSOs, mostly debris, on the geostationary orbit, and of passing objects in eccentric orbits, such as the GTO, or MEO/HEO. A specific data reduction pipeline with new methods for the image analysis has been developed and implemented by the CNES space debris modelling and risk assessments office to Extract, Process Space observations and to catalogue RSOs. As an example, in 2015, TCA has performed over 17000 measurements over the GEO monthly (average). TRE has been adapted to the observation of RSOs in November 2016, and it has made for its first 12 nights over 11000 measurements. In 2016, preliminary results show that the availability of the telescopes (TCA and TCH) is on the order of 90%. The TAROT network was recently used to observe the Arianne V233 Galileo launch, allowing observing the separation of the four satellites from the upper stage of the launcher, acquiring rare images of the passivation phase. We are now implementing operational procedures to use the TAROT network for the support of the CAESAR collision assessment system of the CNES. In this paper we present here the TAROT network, the methods and strategies we have developed, as well as statistics of measurements, some specific examples, and the perspective of the network within the context of Space Surveillance and Tracking.
Christoph Herwig - One of the best experts on this subject based on the ideXlab platform.
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combining mechanistic and data driven approaches to gain Process knowledge on the control of the metabolic shift to lactate uptake in a fed batch cho Process
Biotechnology Progress, 2015Co-Authors: Denes Zalai, Krisztina Koczka, Laszlo Parta, Patrick Wechselberger, Tobias Klein, Christoph HerwigAbstract:A growing body of knowledge is available on the cellular regulation of overflow metabolism in mammalian hosts of recombinant protein production. However, to develop strategies to control the regulation of overflow metabolism in cell culture Processes, the effect of Process parameters on metabolism has to be well understood. In this study, we investigated the effect of pH and temperature shift timing on lactate metabolism in a fed-batch Chinese hamster ovary (CHO) Process by using a Design of Experiments (DoE) approach. The metabolic switch to lactate consumption was controlled in a broad range by the proper timing of pH and temperature shifts. To Extract Process knowledge from the large experimental dataset, we proposed a novel methodological concept and demonstrated its usefulness with the analysis of lactate metabolism. Time-resolved metabolic flux analysis and PLS-R VIP were combined to assess the correlation of lactate metabolism and the activity of the major intracellular pathways. Whereas the switch to lactate uptake was mainly triggered by the decrease in the glycolytic flux, lactate uptake was correlated to TCA activity in the last days of the cultivation. These metabolic interactions were visualized on simple mechanistic plots to facilitate the interpretation of the results. Taken together, the combination of knowledge-based mechanistic modeling and data-driven multivariate analysis delivered valuable insights into the metabolic control of lactate production and has proven to be a powerful tool for the analysis of large metabolic datasets.
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combining mechanistic and data driven approaches to gain Process knowledge on the control of the metabolic shift to lactate uptake in a fed batch cho Process
Biotechnology Progress, 2015Co-Authors: Denes Zalai, Krisztina Koczka, Laszlo Parta, Patrick Wechselberger, Tobias Klein, Christoph HerwigAbstract:A growing body of knowledge is available on the cellular regulation of overflow metabolism in mammalian hosts of recombinant protein production. However, to develop strategies to control the regulation of overflow metabolism in cell culture Processes, the effect of Process parameters on metabolism has to be well understood. In this study, we investigated the effect of pH and temperature shift timing on lactate metabolism in a fed-batch Chinese hamster ovary (CHO) Process by using a Design of Experiments (DoE) approach. The metabolic switch to lactate consumption was controlled in a broad range by the proper timing of pH and temperature shifts. To Extract Process knowledge from the large experimental dataset, we proposed a novel methodological concept and demonstrated its usefulness with the analysis of lactate metabolism. Time-resolved metabolic flux analysis and PLS-R VIP were combined to assess the correlation of lactate metabolism and the activity of the major intracellular pathways. Whereas the switch to lactate uptake was mainly triggered by the decrease in the glycolytic flux, lactate uptake was correlated to TCA activity in the last days of the cultivation. These metabolic interactions were visualized on simple mechanistic plots to facilitate the interpretation of the results. Taken together, the combination of knowledge-based mechanistic modeling and data-driven multivariate analysis delivered valuable insights into the metabolic control of lactate production and has proven to be a powerful tool for the analysis of large metabolic datasets. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:1657–1668, 2015
Eilon Gabel - One of the best experts on this subject based on the ideXlab platform.
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successful implementation of a perioperative data warehouse using another hospital s published specification from epic s electronic health record system
Anesthesia & Analgesia, 2020Co-Authors: Richard H Epstein, Ira Hofer, Valiollah Salari, Eilon GabelAbstract:BACKGROUND Many hospitals have replaced their legacy anesthesia information management system with an enterprise-wide electronic health record system. Integrating the anesthesia data within the context of the global hospital information infrastructure has created substantive challenges for many organizations. A Process to build a perioperative data warehouse from Epic was recently published from the University of California Los Angeles (UCLA), but the generalizability of that Process is unknown. We describe the implementation of their Process at the University of Miami (UM). METHODS The UCLA Process was tested at UM, and performance was evaluated following the configuration of a reporting server and transfer of the required Clarity tables to that server. Modifications required for the code to execute correctly in the UM environment were identified and implemented, including the addition of locally specified elements in the database. RESULTS The UCLA code to build the base tables in the perioperative data warehouse executed correctly after minor modifications to match the local server and database architecture at UM. The 26 stored procedures in the UCLA Process all ran correctly using the default settings provided and populated the base tables. After modification of the item lists to reflect the UM implementation of Epic (eg, medications, laboratory tests, physiologic monitors, and anesthesia machine parameters), the UCLA code ran correctly and populated the base tables. The data from those tables were used successfully to populate the existing perioperative data warehouse at UM, which housed data from the legacy anesthesia information management system of the. The time to pull data from Epic and populate the perioperative data warehouse was 197 ± 47 minutes (standard deviation [SD]) on weekdays and 260 ± 56 minutes (SD) on weekend days, measured over 100 consecutive days. The longer times on weekends reflect the simultaneous execution of database maintenance tasks on the reporting server. The UCLA Extract Process has been in production at UM for the past 18 months and has been invaluable for quality assurance, business Process, and research activities. CONCLUSIONS The data schema developed at UCLA proved to be a practical and scalable method to Extract information from the Epic electronic health system database into the perioperative data warehouse in use at UM. Implementing the Process developed at UCLA to build a comprehensive perioperative data warehouse from Epic is an extensible Process that other hospitals seeking more efficient access to their electronic health record data should consider.
Malcolm Greaves - One of the best experts on this subject based on the ideXlab platform.
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a review of novel techniques for heavy oil and bitumen Extraction and upgrading
Energy and Environmental Science, 2010Co-Authors: Amjad Shah, Robert P Fishwick, Joseph Wood, Gary A Leeke, Sean P Rigby, Malcolm GreavesAbstract:With World oil demand increasing in the face of limited supplies, increasing attention is turning towards non-conventional oil sources as a means to relieve the pressure exerted on conventional stocks. However, non-conventional oils are hard to Extract, Process and transport. Several technologies are already at work with differing levels of success, recovery ranging from as low as 5% through to more than 70%. This paper reviews the range of Enhanced Oil Recovery techniques, broadly classified into either thermal or non-thermal methods, and their applicability to the Extraction of heavy oils and bitumens. Advantages and disadvantages are presented in terms of their recovery factors, requirements, limitations and economics. The potential benefits of additional downhole catalytic upgrading of heavy oils are also explored.
Michel Boer - One of the best experts on this subject based on the ideXlab platform.
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TAROT: a network for space surveillance and tracking operations
2017Co-Authors: Michel Boer, Alain Klotz, Romain Laugier, Pascal Richard, Juan Carlos Dolado Pérez, Laurent Lapasset, Agnès Verzeni, Sébastien Théron, David Coward, J.a. KennewellAbstract:TAROT: a network for space surveillance and tracking operations The TAROT (Telescope a Action Rapide pour les Objets Transitoires – Rapid Action Telescope for Transient Objects) network of telescopes consists of two 25cm aperture telescopes located at the Calern Observatory (TCA, OCA, France), the La Silla Observatory (TCH, ESO, Chile), and a 18cm telescope at Les Makes Observatory, (TRE, France). In addition we use the Zadko 1m telescope at the Gingin Observatory (ZDK, UWA, Australia). A central service in France, called CADOR (Centre d’Analyse des Donnees des Observatoires Robotiques, Centre for the Data Analysis of Robotic Observatories), acts as an interface for users, runs the scheduling system over the network, archive the data and run the core database. Since 1999 we perform observations of Resident Space Objects (RSO). Over the time we have implemented the observation of RSOs, mostly debris, on the geostationary orbit, and of passing objects in eccentric orbits, such as the GTO, or MEO/HEO. A specific data reduction pipeline with new methods for the image analysis has been developed and implemented by the CNES space debris modelling and risk assessments office to Extract, Process Space observations and to catalogue RSOs. As an example, in 2015, TCA has performed over 17000 measurements over the GEO monthly (average). TRE has been adapted to the observation of RSOs in November 2016, and it has made for its first 12 nights over 11000 measurements. In 2016, preliminary results show that the availability of the telescopes (TCA and TCH) is on the order of 90%. The TAROT network was recently used to observe the Arianne V233 Galileo launch, allowing observing the separation of the four satellites from the upper stage of the launcher, acquiring rare images of the passivation phase. We are now implementing operational procedures to use the TAROT network for the support of the CAESAR collision assessment system of the CNES. In this paper we present here the TAROT network, the methods and strategies we have developed, as well as statistics of measurements, some specific examples, and the perspective of the network within the context of Space Surveillance and Tracking.
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TAROT: a network for space surveillance and tracking operations
2017Co-Authors: Michel Boer, Alain Klotz, Romain Laugier, Pascal Richard, Laurent Lapasset, Agnès Verzeni, Sébastien Théron, David Coward, Juan Carlos Dolado Pérez, J.a. KennewellAbstract:TAROT: a network for space surveillance and tracking operations The TAROT (Télescope à Action Rapide pour les Objets Transitoires – Rapid Action Telescope for Transient Objects) network of telescopes consists of two 25cm aperture telescopes located at the Calern Observatory (TCA, OCA, France), the La Silla Observatory (TCH, ESO, Chile), and a 18cm telescope at Les Makes Observatory, (TRE, France). In addition we use the Zadko 1m telescope at the Gingin Observatory (ZDK, UWA, Australia). A central service in France, called CADOR (Centre d’Analyse des Données des Observatoires Robotiques, Centre for the Data Analysis of Robotic Observatories), acts as an interface for users, runs the scheduling system over the network, archive the data and run the core database. Since 1999 we perform observations of Resident Space Objects (RSO). Over the time we have implemented the observation of RSOs, mostly debris, on the geostationary orbit, and of passing objects in eccentric orbits, such as the GTO, or MEO/HEO. A specific data reduction pipeline with new methods for the image analysis has been developed and implemented by the CNES space debris modelling and risk assessments office to Extract, Process Space observations and to catalogue RSOs. As an example, in 2015, TCA has performed over 17000 measurements over the GEO monthly (average). TRE has been adapted to the observation of RSOs in November 2016, and it has made for its first 12 nights over 11000 measurements. In 2016, preliminary results show that the availability of the telescopes (TCA and TCH) is on the order of 90%. The TAROT network was recently used to observe the Arianne V233 Galileo launch, allowing observing the separation of the four satellites from the upper stage of the launcher, acquiring rare images of the passivation phase. We are now implementing operational procedures to use the TAROT network for the support of the CAESAR collision assessment system of the CNES. In this paper we present here the TAROT network, the methods and strategies we have developed, as well as statistics of measurements, some specific examples, and the perspective of the network within the context of Space Surveillance and Tracking.
