Teams Win: The European Datacube Federation

2021 ◽  
Author(s):  
Peter Baumann
Keyword(s):  
Data Centers ◽  
Local Governance ◽  
Wide Spectrum ◽  
Satellite Image ◽  
Common Information ◽  
Work Distribution ◽  
Atmospheric Data ◽  
Common Framework ◽  
Data Location ◽  
Common Understanding

<p>Collaboration requires some minimum of common understanding, in the case of Earth data in particular common principles making data interchangeable, comparable, and combinable. Open standards help here; in case of Big Earth Data specifically the OGC/ISO Coverages standard. This unifying framework establishes a common framework in particular for regular and irregular spatio-temporal datacubes. Services grounding on such common understanding have proven more uniform to access and handle, implementing a principle of "minimal surprise" for users visiting different portals while using their favourite clients. Data combination and fusion benefits from canonical metadata allowing automatic alignment, e.g, between 2D DEMs, 3D satellite image time series, 4D atmospheric data, etc.</p><p>The EarthServer datacube federation s showing the way towards unleashing in full the potential of pixels for supporting the UN Sustainable Development Goals, local governance, and also businesses. EarthServer is an open, free, transparent, and democratic network of data centers offering dozens of Petabytes of a critical variety, such as radar and optical Copernicus data, atmospheric data, elevation data, and thematic cubes like global sea ice. Data centers like DIASs and CODE-DE, research organizations, companies, and agencies have teamed up in EarthServer. Strictly based on the open OGC standards, an ecosystem of data has been established that is available to users as a single pool, without the need for any coding skills (such as python). A specific unique capability is location-transparency: clients can fire their query against any of the mebers, and the federation nodes will figure out the optimal work distribution irrespective of data location.</p><p>The underlying datacube engine, rasdaman, enables all datacube access, analytics, and federation. Query evaluation is optimized automatically applying highly efficient intelligent, rule-based methods in homogeneous and heterogeneous mashups, up to satellite on-board deployments as done in the ORBiDANSe project. Users perceive one single, common information space accessible through a wide spectrum of open-source and proprietary clients.</p><p>In our talk we present technology, services, and governance of this unique line-up of data centers. A demo will show distributed datacube fusion live.</p><p> </p>

Towards Seamless Planetary-Scale Services

2020 ◽  
Author(s):  
Peter Baumann ◽  
Keyword(s):  
Data Fusion ◽  
Data Centers ◽  
Satellite Image ◽  
Open Data ◽  
Point Clouds ◽  
Common Information ◽  
Atmospheric Data ◽  
Common Framework ◽  
Open Standards ◽  
Common Understanding

<p>Collaboration requires some minimum of common understanding, in the case of Earth data in particular common principles making data interchangeable, comparable, and combinable. Open standards help here; in case of Big Earth Data specifically the OGC/ISO Coverages standard. This unifying framework establishes  a common framework for regular and irregular grids, point clouds, and meshes., in particular: for spatio-temporal datacubes. Services grounding on such common understanding can be more uniform to access and handle, thereby implementing a principle of "minimal surprise" for users visiting different portals. Further, data combination and fusion benefits from canonical metadata allowing alignmen, e.g, between 2D DEMs, 3D satellite image timeseries, 4D atmospheric data.</p><p>The EarthServer federation is an open data center network offering dozens of Petabytes of a critical variety, such as radar and optical Copernicus data, atmospheric data, elevation data, and thematic cubes like global sea ice. Data centers like DIASs and CODE-DE, research organizations, companies, and agencies have teamed up in EarthServer. Strictly based on OGC standards, an ecosystem of data has been established that is available to users as a single pool, in particular for efficient distributed data fusion irrespective of data location.</p><p>The underlying datacube engine, rasdaman, enables location-transparent federation: clients can submit queries to any node, regardless of where data sit. Query evaluation is optimized automatically, including multi-data fusion of data residing on different nodes. Hence, users perceive one single, common information space. Thanks to the open standards, a broad spectrum of open-source and proprietary clients can utilize this federation, such ranging from OpenLayers and NASA WorldWind over QGIS and ArcGIS to python and R.</p><p>In our talk we present technology, services, and governance of this unique intercontinental line-up of data centers. A demo will show distributed datacube fusion live.</p>

United in Variety: The EarthServer Datacube Federation

2020 ◽  
Author(s):  
Peter Baumann
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Distributed Data ◽  
Temporal Data ◽  
Atmospheric Data ◽  
Elevation Data ◽  
Technology Services ◽  
Spatio Temporal ◽  
Data Location ◽  
Array Databases

<p>Datacubes form an accepted cornerstone for analysis (and visualization) ready spatio-temporal data offerings. Beyond the multi-dimensional data structure, the paradigm also suggests rich services, abstracting away from the untractable zillions of files and products - actionable datacubes as established by Array Databases enable users to ask "any query, any time" without programming. The principle of location-transparent federations establishes a single, coherent information space.</p><p>The EarthServer federation is a large, growing data center network offering Petabytes of a critical variety, such as radar and optical satellite data, atmospheric data, elevation data, and thematic cubes like global sea ice. Around CODE-DE and DIASs an ecosystem of data has been established that is available to users as a single pool, in particular for efficient distributed data fusion irrespective of data location.</p><p>In our talk we present technology, services, and governance of this unique intercontinental line-up of data centers. A live demo will show dist<br>ributed datacube fusion.</p><p> </p>

scholarly journals Prioritizing variants in complete Hereditary Breast and Ovarian Cancer (HBOC) genes in patients lacking known BRCA mutations

2016 ◽  
Author(s):  
Natasha G Caminsky ◽  
Eliseos J Mucaki ◽  
Ami M. Perri ◽  
Ruipeng Lu ◽  
Joan H.M. Knoll ◽  
...  
Keyword(s):  
Binding Sites ◽  
Rna Binding ◽  
Wide Spectrum ◽  
Pedigree Information ◽  
Brca Mutations ◽  
Pathogenic Variants ◽  
Uncertain Significance ◽  
Common Framework ◽  
Flanking Sequences ◽  
Coding Variants

BRCA1andBRCA2testing for HBOC does not identify all pathogenic variants. Sequencing of 20 complete genes in HBOC patients with uninformative test results (N=287), including non-coding and flanking sequences ofATM,BARD1,BRCA1,BRCA2,CDH1,CHEK2,EPCAM,MLH1,MRE11A,MSH2,MSH6,MUTYH,NBN,PALB2,PMS2,PTEN,RAD51B,STK11,TP53, andXRCC2, identified 38,372 unique variants. We apply information theory (IT) to predict novel functions for and prioritize non-coding variants of uncertain significance (VUS) in throughout regulatory, coding, and intronic regions based on changes in binding sites in these genesof these genes. Besides mRNA splicing, IT provides a common framework to evaluate potential affinity changes inin transcription factor (TFBSs), splicing regulatory (SRBSs), and RNA-binding protein (RBBSs) protein binding sites following mutationat mutated binding sites. We prioritized variants affecting the strengths of 10 variants affecting splice sites (4 natural, 6 cryptic), 148 SRBS, 36 TFBS, and 31 RBBS binding strength-affecting variantss. Three variants were also prioritized based on their predicted effects on mRNA secondary (2°) structure, and 17 for pseudoexon activation. Additionally, 4 frameshift, 2 in-frame deletions, and 5 stop-gain mutations were identified. When combined with pedigree information, complete gene sequence analysis can focus attention on a limited set of variants in a wide spectrum of functional mutation types for downstream functional and co-segregation analysis.

scholarly journals It's not just poverty: unregulated global market and bad governance explain unceasing deforestation in Western Madagascar

2020 ◽  
Author(s):  
Ghislain Vieilledent ◽  
Marie Nourtier ◽  
Clovis Grinand ◽  
Miguel Pedrono ◽  
Alison Clausen ◽  
...  
Keyword(s):  
Forest Cover ◽  
Conflicts Of Interest ◽  
Local Governance ◽  
Local Population ◽  
Satellite Image ◽  
Biodiversity Loss ◽  
Global Market ◽  
Agricultural Commodities ◽  
Maize Production ◽  
Global Issues

Madagascar is recognized both for its unparalleled biodiversity and the high level of threat suffered by this biodiversity, associated in particular with anthropogenic deforestation. Despite sustained efforts to fight poverty and curb deforestation, forest cover in Madagascar is rapidly decreasing. To try to explain why it is so difficult to stop deforestation in Madagascar, we analyzed the recent deforestation process in Western Madagascar through satellite image analysis and field surveys. We show that deforestation has increased from less than 0.9%/yr on 2000-2010 to more than 2%/yr on 2010-2017. We identified two major causes of deforestation, which were not associated with subsistence agriculture: slash-and-burn agriculture for the cultivation of cash crops (maize and peanut), and uncontrolled fires to create open pasture. Maize production is mainly at the destination of the domestic market and is used in particular for livestock feeding. Peanut production has boomed since 2013 and more than half of it is now exported towards Asiatic countries. The money earned by farmers is principally invested into zebu herd acquisition. Trade of agricultural commodities benefits several intermediaries, some of whom have political responsibilities thus creating conflicts of interest. On the other hand, agents from institutions in charge of the management of the protected areas have no means to enforce laws against deforestation. In the absence of an efficient strategy to stop deforestation, we predicted that 38-93% of the forest present in 2000 will have disappeared in 2050. Forest loss, apart from biodiversity loss and climate-change global issues, will be at the expense of local population. In order to stop deforestation, international aid should be used to improve local governance to enforce environmental laws and pressure should be put on trading companies to buy certified agricultural commodities that are not derived from deforestation.

Well-known Personality in a Technical World and Information System

2016 ◽  
Vol 8 (1) ◽  
pp. 62
Author(s):  
Editorial Board
Keyword(s):  
Cloud Computing ◽  
Information Systems ◽  
Information Security ◽  
Cyber Security ◽  
Data Centers ◽  
Wide Spectrum ◽  
Cyber Warfare ◽  
Infrastructure Management ◽  
It Infrastructure ◽  
Cyber Forensics

We are pleased to share profile of Col. Inderjit Singh (Retd). Inderjit is a an experienced Information Systems and Information Security Professional with experience of more than 25 year across a wide spectrum of areas spanning Solution Architecture, Program/Project Management Telecom, IT Infrastructure Management, Info Security Advisory and Architecture, Cyber Security, Cyber Warfare and Cyber Forensics, Data Centers Design and Operations, Cloud Computing and E-Commerce Startup. An experienced Information Systems Professional with experience of more than 25 year across a wide spectrum of areas spanning Solution Architecture, Program/ Project Management in Telecom, IT Infrastructure Management, Information Security Advisory and Architecture, Cyber Security, Cyber Warfare and Cyber Forensics, Data Centers Design and Operations, Cloud Computing and E-Commerce.

scholarly journals Multi-agent based load balancing in cloud computing

2017 ◽  
Vol 7 (1.1) ◽  
pp. 689
Author(s):  
S Sandeep Kumar ◽  
S Tarun Kumar ◽  
G Sathraja ◽  
J Nagatejasri
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
Data Centers ◽  
Agent Based ◽  
Multiple Servers ◽  
Work Distribution ◽  
Multi Agent ◽  
Area Unit

Cloud knowledge centers area unit usually comprised of multiple servers with doubtless completely different specifications and unsteady resource usages. The challenge for these data centers is how to handle and service the millions of Requests such that the Quality of the ser-vice (Qos) is not compromised. Load balancing is an important aspect in cloud computing that involves an even work distribution among the available machines such that no machine is overloaded. This work discusses on numerous Agent primarily based load equalization tech-niques capableof equalization workloads across multiple servers to provide customer Satisfaction and economical Resource Utilization. We propose a Dynamic Multi-Agent based algorithm to address the load balancing issue .In this, we describe about Agents and how they can be used to solve load balancing in cloud computing.  

Abstract #902: The Wide Spectrum of Androgen Insensitivity Syndrome

2015 ◽  
Vol 21 ◽  
pp. 178
Author(s):  
Shwetha Mallesara Sudhakar ◽  
Shahla Nadereftekhari
Keyword(s):  
Wide Spectrum ◽  
Androgen Insensitivity Syndrome ◽  
Androgen Insensitivity

The Evolution of Music Therapy

2015 ◽  
Vol 26 (4) ◽  
pp. 207-221
Author(s):  
Wolfgang Mastnak
Keyword(s):  
Music Therapy ◽  
Evidence Based Medicine ◽  
Wide Spectrum ◽  
Evidence Based ◽  
Modern Music ◽  
Guided Imagery And Music ◽  
Theoretical Perspectives ◽  
International Importance ◽  
Evolution Of Music ◽  
Based Medicine

Abstract. Five overlapping eras or stages can be distinguished in the evolution of music therapy. The first one refers to the historical roots and ethnological sources that have influenced modern meta-theoretical perspectives and practices. The next stage marks the heterogeneous origins of modern music therapy in the 20th century that mirror psychological positions and novel clinical ideas about the healing power of music. The subsequent heyday of music therapeutic models and schools of thought yielded an enormous variety of concepts and methods such as Nordoff–Robbins music therapy, Orff music therapy, analytic music therapy, regulatory music therapy, guided imagery and music, sound work, etc. As music therapy gained in international importance, clinical applications required research on its therapeutic efficacy. According to standards of evidence-based medicine and with regard to clearly defined diagnoses, research on music therapeutic practice was the core of the fourth stage of evolution. The current stage is characterized by the emerging epistemological dissatisfaction with the paradigmatic reductionism of evidence-based medicine and by the strong will to discover the true healing nature of music. This trend has given birth to a wide spectrum of interdisciplinary hermeneutics for novel foundations of music therapy. Epigenetics, neuroplasticity, regulatory and chronobiological sciences, quantum physical philosophies, universal harmonies, spiritual and religious views, and the cultural anthropological phenomenon of esthetics and creativity have become guiding principles. This article should not be regarded as a historical treatise but rather as an attempt to identify theoretical landmarks in the evolution of modern music therapy and to elucidate the evolution of its spirit.

The Embittered Mind

2016 ◽  
Vol 37 (4) ◽  
pp. 213-222 ◽  
Author(s):  
Hansjörg Znoj ◽  
Sandra Abegglen ◽  
Ulrike Buchkremer ◽  
Michael Linden
Keyword(s):  
Emotional Reaction ◽  
Control Group ◽  
Systematic Research ◽  
Roc Curve Analysis ◽  
Confirmatory Factor Analyses ◽  
Receiver Operating Characteristic Curves ◽  
Confirmatory Factor ◽  
Different Dimensions ◽  
First Time ◽  
Common Understanding

Abstract. There is a growing interest in embitterment as psychological concept. However, little systematic research has been conducted to characterize this emotional reaction. Still, there is an ongoing debate about the distinctiveness of embitterment and its dimensions. Additionally, a categorical and a dimensional perspective on embitterment have been developed independently over the last decade. The present study investigates the dimensions of embitterment by bringing these two different approaches together, for the first time. The Bern Embitterment Inventory (BEI) was given to 49 patients diagnosed with “Posttraumatic Embitterment Disorder (PTED)” and a matched control group of 49 patients with psychological disorders with other dominant emotional dysregulations. The ability to discriminate between the two groups was assessed by t-tests and Receiver Operating Characteristic Curves (ROC curve analysis). PTED patients scored significantly higher on the BEI than the patients of the control group. ROC analyses indicated diagnostic accuracy of the inventory. Further, we conducted Confirmatory Factor Analyses (CFA) to examine the different dimensions of embitterment and their relations. As a result, we found four characteristic dimensions of embitterment, namely disappointment, lack of acknowledge, pessimism, and misanthropy. In general, our findings showed a common understanding of embitterment as a unique but multidimensional emotional reaction to distressful life-events.

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