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Michael D. Smith

Researcher at Goddard Space Flight Center

Publications -  449
Citations -  25323

Michael D. Smith is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Mars Exploration Program & Atmosphere of Mars. The author has an hindex of 85, co-authored 420 publications receiving 23108 citations. Previous affiliations of Michael D. Smith include Harvard University & University of Toronto.

Papers
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Journal ArticleDOI

The measured performance of personal computer operating systems

TL;DR: Overall, system functionality can be accessed most efficiently in NetBSD; this is attributed to its monolithic structure and to the absence of the complications created by hardware backward-compatibility requirements in the other systems.
Patent

Computer method and apparatus for securely managing data objects in a distributed context

TL;DR: In this paper, the authors present a method and apparatus for maintaining and managing control over data objects authored, accessed, and altered by users in dynamic, distributed, and collaborative contexts.
Proceedings ArticleDOI

Towards a software approach to mitigate voltage emergencies

TL;DR: This paper investigates the potential of a very simple dynamic scheme to appreciably reduce the number of run-time voltage emergencies and can map many of the voltage emergencies in the execution of the SPEC benchmarks on an aggressive superscalar design to a few static loops.
Journal ArticleDOI

Assessment of a 2016 mission concept: The search for trace gases in the atmosphere of Mars

TL;DR: Zurek et al. as mentioned in this paper reported that the presence of methane suggests ongoing exchange between the subsurface and the atmosphere of potentially biogenic trace gases, while the spatial and temporal variations cannot be accounted for with current knowledge of martian photochemistry.
Journal ArticleDOI

Description of a mechanistic approach to pain management in advanced cancer. Preliminary report

TL;DR: It is concluded that the proposed mechanistic approach to advanced cancer pain management is feasible, and prospective assessment and validation of the response of these proposed mechanism categories to specific drug classes is now underway.