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  • Statistics and Probability  (3)
  • Inorganic Chemistry  (2)
  • (Porphyridium cruentum)  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Biochimica et Biophysica Acta (BBA)/Bioenergetics 592 (1980), S. 277-284 
    ISSN: 0005-2728
    Keywords: (Porphyridium cruentum) ; Energy transfer ; Fluorescence ; Low temperature ; Photosystem I ; Phycobilisome
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Medicine , Physics
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Zeitschrift für anorganische Chemie 82 (1913), S. 278-282 
    ISSN: 0863-1778
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Zeitschrift für anorganische Chemie 80 (1913), S. 93-103 
    ISSN: 0863-1778
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: Aus den Versuchen ergibt sich, daß Cuprohydrid bei der Reaktion zwischen Kupfersulfat und unterphosphoriger Säure entsteht, daß aber die Reinheit des Produktes von begrenzten Versuchsbedingungen, besonders von Temperatur und Zeit abhängt. Die Versuche bei gewöhnlicher Temperatur zeigen, daß nach mehrstündigem Stehen das Produkt Hydrid und Oxyd enthält, und auf die Koexistenz dieser beiden Stoffe ist die Explosionsfähigkeit der trockenen Substanz bei Berührung mit Luft zurückzuführen.
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2019-07-13
    Description: Probabilistic Risk Assessment (PRA) is a modeling tool used to predict potential outcomes of a complex system based on a statistical understanding of many initiating events. Utilizing a Monte Carlo method, thousands of instances of the model are considered and outcomes are collected. PRA is considered static, utilizing probabilities alone to calculate outcomes. Dynamic Probabilistic Risk Assessment (dPRA) is an advanced concept where modeling predicts the outcomes of a complex system based not only on the probabilities of many initiating events, but also on a progression of dependencies brought about by progressing down a time line. Events are placed in a single time line, adding each event to a queue, as managed by a planner. Progression down the time line is guided by rules, as managed by a scheduler. The recently developed Integrated Medical Model (IMM) summarizes astronaut health as governed by the probabilities of medical events and mitigation strategies. Managing the software architecture process provides a systematic means of creating, documenting, and communicating a software design early in the development process. The software architecture process begins with establishing requirements and the design is then derived from the requirements.
    Keywords: Statistics and Probability
    Type: GRC-E-DAA-TN28535 , 2016 Human Research Program Investigators'' Workshop; Feb 08, 2016 - Feb 11, 2016; Galveston, TX; United States
    Format: application/pdf
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  • 5
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Statistics and Probability
    Type: JSC-CN-38519 , 2017 NASA Human Research Program Investigators'' Workshop (HRP IWS 2017) Annual Meeting; Jan 23, 2017 - Jan 26, 2017; Galveston, TX; United States
    Format: application/pdf
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  • 6
    Publication Date: 2019-07-13
    Description: In 2016, the Integrated Medical Model (IMM) v4.0 underwent an extensive external review in preparation for transition to an operational status. In order to insure impartiality of the review process, the Exploration Medical Capabilities Element of NASA's Human Research Program convened the review through the Systems Review Office at NASA Goddard Space Flight Center (GSFC). The review board convened by GSFC consisted of persons from both NASA and academia with expertise in the fields of statistics, epidemiology, modeling, software development, aerospace medicine, and project management (see Figure 1). The board reviewed software and code standards, as well as evidence pedigree associated with both the input and outcomes information. The board also assesses the models verification, validation, sensitivity to parameters and ability to answer operational questions. This talk will discuss the processes for designing the review, how the review progressed and the findings from the board, as well as summarize the IMM project responses to those findings. Overall, the board found that the IMM is scientifically sound, represents a necessary, comprehensive approach to identifying medical and environmental risks facing astronauts in long duration missions and is an excellent tool for communication between engineers and physicians. The board also found IMM and its customer(s) should convene an additional review of the IMM data sources and to develop a sustainable approach to augment, peer review, and maintain the information utilized in the IMM. The board found this is critically important because medical knowledge continues to evolve. Delivery of IMM v4.0 to the Crew Health and Safety (CHS) Program will occur in the 2017. Once delivered for operational decision support, IMM v4.0 will provide CHS with additional quantitative capability in to assess astronaut medical risks and required medical capabilities to help drive down overall mission risks.
    Keywords: Statistics and Probability
    Type: GRC-E-DAA-TN38711 , 2017 NASA Human Research Program Investigators'' Workshop (HRP IWS 2016); Jan 23, 2017 - Jan 26, 2017; Galveston, TX; United States
    Format: application/pdf
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