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Methods in Computational Biology

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ISBN: 9783039211630 9783039211647 Year: Pages: 214 DOI: 10.3390/books978-3-03921-164-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-08-28 11:21:27
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Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement

Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness

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ISBN: 9783039280087 9783039280094 Year: Pages: 416 DOI: 10.3390/books978-3-03928-009-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Education
Added to DOAB on : 2020-01-07 09:21:22
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The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION: We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: Social Networks; Smart Education; Social Capital; Corporate Innovation; Disruptive Innovation; Knowledge integration; Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION: In this section, knowledge management and big data applications and systems are presented. Selective topic include: Crowdsourcing Analysis; Natural Language Processing; Data Governance; Knowledge Extraction; Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT: In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: Big Social Networks on Sustainable Economic Development; Business Intelligence

Keywords

innovation capability --- social capital --- knowledge creation --- human capital investment --- training --- education --- communication --- six sigma --- structural equation model --- leadership --- innovation performance --- knowledge sharing --- social capital --- project-based organization --- citizen-scientist --- climate change --- crowdsourcing --- MTurk --- social networks --- Twitter --- social networks --- big data --- big data analysis --- sustainable development --- text mining --- NLP --- technological information --- patent analysis --- text structure --- top management team --- strategic decision-making --- risk perception --- knowledge creation process --- process innovation capability --- product innovation capability --- sustainable competitive advantage --- data governance --- cloud computing --- cloud data governance --- taxonomy --- systematic review --- holistic --- text feature extraction --- patent analysis --- hybrid neural networks --- mechanical patent classification --- international technological collaboration --- IC manufacturing --- patent association analysis --- social network analysis --- collaboration network --- corporate sustainability --- business intelligence --- multi-dimensional data model --- key performance indicators --- knowledge assets --- knowledge embeddedness --- knowledge specificity --- disruptive innovation --- personalized business mode --- technology acceptance model --- user acceptance --- data analysis --- ontology design --- knowledge management --- heterogeneous architectures --- Big Data --- transformational training programs-TTP --- quality orientation of employees-QOE --- employee loyalty-EL --- universities --- Jordan --- administrative file --- administrative procedure --- sustainability --- open data --- linked data --- provenance --- RDF --- PROV-O --- P-PLAN --- big data --- visualizing --- intellectual structure --- big data environment --- co-citation network --- collaboration network --- sustainability --- bibliometric --- knowledge management --- keywords analysis --- intellectual structure --- emerging trends --- knowledge mapping --- new ventures --- internal social networks --- absorptive capacity --- innovation --- big data --- competitive advantage --- disruptive innovation --- human capital --- innovation --- knowledge management --- sustainability --- smart education --- social networks --- social media --- conceptual maturity model --- technology-enhanced learning process

Earth Observation Data Cubes

Authors: --- --- ---
ISBN: 9783039280926 9783039280933 Year: Pages: 302 DOI: 10.3390/books978-3-03928-093-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:09
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Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10

Keywords

topology based map algebra --- data cubes --- big data --- map algebra --- earth oberservation --- GRASS GIS --- earth observations --- satellite imagery --- R --- data cubes --- Sentinel-2 --- Sentinel-1 --- SAR --- analysis ready data --- ARD --- interoperability --- data cube --- Earth observation --- pyroSAR --- data cube --- image cube --- image data cube --- imagery --- Landsat --- Sentinel --- earth observation --- GIS --- web services --- web application --- analysis --- GIS --- Open Data Cube --- Earth Observations --- interoperability --- visualization --- Sentinel --- Analysis Ready Data --- Sentinel-1 --- Synthetic Aperture Radar --- Data Cube --- dual-polarimetric decomposition --- interferometric coherence --- Digital Earth Australia --- remote sensing --- big Earth data --- big EO data --- information extraction --- semantic enrichment --- time-series --- Open Data Cube --- remote sensing --- geospatial standards --- landsat --- sentinel --- analysis ready data --- dynamic data citation --- subset --- data curation --- persistent identifier --- data provenance --- metadata --- versioning --- query store --- data sharing --- FAIR principles --- big earth data --- sustainable development goals --- swiss DC --- Armenian DC --- Landsat --- sentinel --- analysis ready data --- data discovery --- metadata --- knowledge base --- graph data --- intelligent semantic agents --- data cube --- optical remote sensing --- snow cover --- Gran Paradiso National Park --- climate change --- land cover classification --- change --- Digital Earth Australia --- open data cube --- Landsat --- Australia --- Open Data Cube --- UN 2030 Agenda for Sustainable Development --- UN System of Environmental Economic Accounting --- Earth observation data --- open science --- reproducibility --- earth observations --- data cube --- analysis ready data --- remote sensing --- satellite imagery

Mineralogy and Geochemistry of Gems

Authors: --- --- ---
ISBN: 9783039280766 9783039280773 Year: Pages: 528 DOI: 10.3390/books978-3-03928-077-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geology --- Earth Sciences
Added to DOAB on : 2020-04-07 23:07:09
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Gems have been used in the manufacture of jewellery and as ornaments since antiquity. Considering gems, recent statistics have shown that about 15 billion Euros are annually at stake. Nowadays, gemmology, i.e., the study of gem materials, is one of the most expanding fields in the earth sciences, positioned between academia and industry. As an applied science, in gemmology, the instruments used should be non- or microdestructive, and their cost should be reasonable both in terms of equipment and time consumption. Gemmology can also be used contribute to the development of pure science and in some cases, destructive techniques may have to be used. Taking into account the fact that gems are albeit rarely available for scientific research, this compilation of 20 articles by around 100 researchers from over 30 different institutions situated in 20 countries from around the globe, presented in the Special Issue entitled “Mineralogy and Geochemistry of Gems”, offers very good examples on the application of various methods for their study which will hopefully contribute to our better understanding of gem formation in general and will enhance scientific debates attracting more scientists from various disciplines to get involved in this field.

Keywords

danburite --- trace elements --- REE --- femtosecond LA-ICP-MS --- CHNS elemental analyzer --- pegmatites --- skarn --- gemstones --- placer --- heavy and light minerals --- landforms --- climate --- geodynamic setting --- green quartz --- prase --- amethyst --- color --- amphibole --- actinolite --- skarn --- Serifos --- Greece --- zircon --- xenocryst --- alkali basalt --- Ratanakiri Volcanic Province --- trace elements --- O-isotopes and Hf-isotopes --- U-Pb --- (U-Th)/He --- granitic pegmatite --- gem-quality tourmaline --- Adamello Massif --- Central Alps --- Italy --- ruby --- Mogok --- Mong Hsu --- New South Wales --- trace elements --- LA-ICP-MS analysis --- inclusions --- U–Pb age-dating --- genetic diversity --- geographic typing --- corundum --- blue sapphire --- meta-ultramafic rocks --- LA-ICP-MS --- Rb-Sr and Sm-Nd isotopy --- Ilmenogorsky complex --- Ural Mountains --- metasomatism --- corundum megacrysts --- ruby --- sapphire --- plumasite --- metamorphic-metasomatic origin --- Greece --- zircon megacrysts --- placer deposits --- rare earth elements (REE) --- carbonatite-dominant melts --- Central Highlands --- Vietnam --- hyperspectral photoluminescence imaging --- LA-ICP-MS --- rubies --- corundum --- in-situ oxygen isotopes --- Paranesti Greece --- Nestos Shear Zone --- Secondary ion mass spectrometry (SIMS) --- emerald deposits --- classification --- typology --- metamorphism --- magmatism --- sedimentary --- alkaline metasomatism --- fluids --- stable and radiogenic isotopes --- genetic models --- exploration --- andradite --- demantoid --- gemstone --- Raman spectroscopy --- UV-Vis-NIR spectroscopy --- X-ray fluorescence spectroscopy --- gem-quality --- garnet --- gem-bearing pegmatite --- fluid inclusions --- P-T-X equilibria --- spodumene --- Ar/Ar dating --- blue sapphire --- anorthosites --- kyshtymites --- sapphire geochemistry --- Ilmenogorsky-Vishnevogorsky complex --- in situ LA-ICP-MS U-Pb zircon dating --- kyanite --- Mn-rich silicates --- Rhodope --- Thassos --- amphibolite facies --- metasomatism --- opal --- hyalite --- silica --- X-ray diffraction --- Raman --- Infrared --- 29Si nuclear magnetic resonance --- SEM --- provenance --- pearls --- freshwater --- saltwater --- LA-ICP-MS --- X-ray luminescence --- sapphires --- corundum --- in situ oxygen isotopes --- Orosmayo Argentina --- lamprophyre --- secondary ion mass spectrometry (SIMS) --- carbonatite --- gemstones --- corundum --- beryl --- jadeitite --- garnet --- quartz varieties --- Greece --- emeralds --- LA-ICP-MS --- UV-Vis-NIR --- FTIR --- Raman --- PL --- n/a

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