More often than not, search capabilities for network accessible data do not exist or do not meet the requirements of the user. For large archives this can make finding data of interest tedious at best. This summer, the author encountered such a problem with regard to the two existing archives of VIIRS L2 sea surface temperature (SST) fields obtained with the new ACSPO retrieval algorithm; one at the Jet Propulsion Laboratory's PO-DAAC and the other at NOAA's National Centers for Environmental Information (NCEI). In both cases the data were available via ftp and OPeNDAP but there was no search capability at the PO-DAAC and the NCEI archive was incomplete. Furthermore, in order to meet the needs of a broad range of datasets and users, the beta version of the search engine at NCEI was cumbersome for the searches of interest. Although some of these problems have been resolved since (and may be described in other posters/presentations at this meeting), the solution described in this presentation offers the user the ability to develop a search capability for archives lacking a search capability and/or to configure searches more to his or her preferences than the generic searches offered by the data provider. The solution, a Matlab script, used html access to the PO-DAAC web site to locate all VIIRS 10 minute granules and OPeNDAP access to acquire the bounding box for each granule from the metadata bound to the file. This task required several hours of wall time to acquire the data and to write the bounding boxes to a local file with the associated ftp and OPeNDAP urls for the 110,000+ granule archive. A second Matlab script searched the local archive, seconds, for granules falling in a user defined space-time window and an ascii file of wget commands associated with these was generated. This file was then executed to acquire the data of interest. The wget commands can be configured to acquire the entire files via ftp or a subset of each file via OPeNDAP. Furthermore, the
Olivia Ong - Best of (2012)
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NASA supports numerous observing missions to study the Earth, its interactions, and understand its changes. These missions generate heterogeneous data from a variety of sources including satellites and airborne platforms. NASA's Earth Observing System Data and Information System (EOSDIS) is the capability in NASA's Earth Science Data Systems Program responsible for the end-to-end management of these science data. More specifically, the EOSDIS Distributed Active Archive Centers (DAACs) are the key entities that maintain, distribute these data and provide related data services for the mission data associated with a given property of the Earth System e.g. PO.DAAC for physical oceanographic data, NSIDC DAAC for snow and ice data. As the volume, variety and velocity of Earth science data grow, users are focused on high veracity (i.e., data quality), and as their needs become more diverse, they find it more difficult to readily find the data that best suits their purposes. For instance, simple keyword searches on most DAAC holdings return many datasets of potential interest but which are unranked either based on the content of the query or the historical data usage. The Earth Science Data System Working Group (ESDSWG) on Search Relevance WG started in May 2015 to address these concerns. The mandates of the WG are: to characterize the term "search relevance" as it relates to EOSDIS; to assess the current implementations towards search relevance; and to determine how practices and standards in industry and other domains can be applied to DAACs - in a federated-sense - in order to effectively serve the Earth Science data consumers. This poster will present the WG's insights into user profiles and behaviors accessing the DAACs, identify the core areas essential to improve search relevance across the DAACs (individually and collectively), and highlight ongoing efforts within NASA and similar organizations towards search relevance.
Palliative care went through a significant evolution in the 20th century, but the 19th century has been seen my some scholars as the real turning point toward the more modern concept of hospices and palliative care. To investigate some examples of earlier uses of the word 'palliative', a literature search was conducted within the earliest available BMJ archive sections, the years 1840 to 1842. This provided a glimpse into how the word was used in the medical literature in Victorian times, mid-nineteenth century. Search results brought up a number of case reports, and the word was employed to describe medicines ('use of palliatives') as well as passive, non-active treatment approaches, probably best described as a watch-and-wait strategy. Of note is that the first recorded use of the word in the archives is by a surgeon. Some doctors associated the word palliative with there not being any prospect for cure and only for the relief of symptoms and greater comfort of the patient. There were, however, early reflections on whether palliative treatments may in some cases increase the length of patients' lives.
A number of different classes of potentially extra-terrestrial bursts of radio emission have been observed in surveys with the Parkes 64-m radio telescope, including 'rotating radio transients', the 'Lorimer burst' and 'perytons'. Rotating radio transients are radio pulsars which are best detectable in single-pulse searches. The Lorimer burst is a highly dispersed isolated radio burst with properties suggestive of extragalactic origin. Perytons share the frequency-swept nature of the rotating radio transients and Lorimer burst, but unlike these events appear in all 13 beams of the Parkes multibeam receiver and are probably a form of peculiar radio frequency interference. In order to constrain these and other radio source populations further, we searched the archival Parkes Multibeam Pulsar Survey data for events similar to any of these. We did not find any new rotating radio transients or bursts like the Lorimer burst. We did, however, discover four peryton-like events. Similar to the perytons, these four bursts are highly dispersed, detected in all 13 beams of the Parkes multibeam receiver, and have pulse widths between 20 and 30 ms. Unlike perytons, these bursts are not associated with atmospheric events like rain or lightning. These facts may indicate that lightning was not responsible for the peryton phenomenon. Moreover, the lack of highly dispersed celestial signals is the evidence that the Lorimer burst is unlikely to belong to a cosmological source population.
Medical Subject Headings (MeSH()) is a controlled vocabulary for indexing and searching biomedical literature. MeSH terms and subheadings are organized in a hierarchical structure and are used to indicate the topics of an article. Biologists can use either MeSH terms as queries or the MeSH interface provided in PubMed() for searching PubMed abstracts. However, these are rarely used, and there is no convenient way to link standardized MeSH terms to user queries. Here, we introduce a web interface which allows users to enter queries to find MeSH terms closely related to the queries. Our method relies on co-occurrence of text words and MeSH terms to find keywords that are related to each MeSH term. A query is then matched with the keywords for MeSH terms, and candidate MeSH terms are ranked based on their relatedness to the query. The experimental results show that our method achieves the best performance among several term extraction approaches in terms of topic coherence. Moreover, the interface can be effectively used to find full names of abbreviations and to disambiguate user queries. CONTACT: sun.kim@nih.gov Supplementary data are available at Bioinformatics online. The Author 2016. Published by Oxford University Press.
Compositional verification techniques in the assume- guarantee style have been successfully applied to transition systems to efficiently reduce the search space by leveraging the compositional nature of the systems under consideration. We adapt these techniques to the domain of hybrid systems with affine dynamics. To build assumptions we introduce an abstraction based on location merging. We integrate the assume-guarantee style analysis with automatic abstraction refinement. We have implemented our approach in the symbolic hybrid model checker SpaceEx. The evaluation shows its practical potential. To the best of our knowledge, this is the first work combining assume-guarantee reasoning with automatic abstraction-refinement in the context of hybrid automata.
This study aims to classify abstract content based on the use of the highest number of words in an abstract content of the English language journals. This research uses a system of text mining technology that extracts text data to search information from a set of documents. Abstract content of 120 data downloaded at www.computer.org. Data grouping consists of three categories: DM (Data Mining), ITS (Intelligent Transport System) and MM (Multimedia). Systems built using naive bayes algorithms to classify abstract journals and feature selection processes using term weighting to give weight to each word. Dimensional reduction techniques to reduce the dimensions of word counts rarely appear in each document based on dimensional reduction test parameters of 10% -90% of 5.344 words. The performance of the classification system is tested by using the Confusion Matrix based on comparative test data and test data. The results showed that the best classification results were obtained during the 75% training data test and 25% test data from the total data. Accuracy rates for categories of DM, ITS and MM were 100%, 100%, 86%. respectively with dimension reduction parameters of 30% and the value of learning rate between 0.1-0.5.
On 30 September 2016, Rosetta completed its incredible mission by landing on the surface of Comet 67P/Churyumov-Gerasimenko. Although this marked an end to the spacecraft's active operations, intensive work is still ongoing with instrument teams preparing their final science data deliveries for ingestion into ESA's Planetary Science Archive (PSA). In addition, ESA is establishing contracts with some instrument teams to enhance their data and documentation in an effort to provide the best long-term archive possible for the Rosetta mission. Currently, the majority of teams have delivered all of their data from the nominal mission (end of 2015), and are working on their remaining increments from the 1-year mission extension. The aim is to complete the nominal archiving with data from the complete mission by the end of this year, when a full mission archive review will be held. This review will assess the complete data holdings from Rosetta and ensure that the archive is ready for the long-term. With the resources from the operational mission coming to an end, ESA has established a number of 'enhanced archiving' contracts to ensure that the best possible data are delivered to the archive before instrument teams disband. Updates are focused on key aspects of an instrument's calibration or the production of higher level data / information, and are therefore specific to each instrument's needs. These contracts are currently being kicked off, and will run for various lengths depending upon the activities to be undertaken. The full 'archive enhancement' process will run until September 2019, when the post operations activities for Rosetta will end. Within these contracts, most instrument teams will work on providing a Science User Guide for their data, as well as updating calibrations. Several teams will also be delivering higher level and derived products. For example, the VIRTIS team will be updating both their spectral and geometrical calibrations, and will aim to 2ff7e9595c
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