Search results for "Clouds"

showing 10 items of 95 documents

Pan-cancer analysis of whole genomes

2020

Publisher's version (útgefin grein)

Maletert promoter mutationsCancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2]DNA Mutational AnalysisNormal tissuesystematic analysisGermlineTranscriptome0302 clinical medicineAetiologyCàncerCellular SenescenceCancer0303 health sciencesdna-damageMassive parallel sequencingPan cancerREARRANGEMENTSHigh-Throughput Nucleotide SequencingGenomicsSciences bio-médicales et agricolesTelomereCOMPREHENSIVE3. Good healthTERT PROMOTER MUTATIONSsignatures030220 oncology & carcinogenesisScience & Technology - Other TopicsErfðarannsóknirHuman:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]EvolutionRNA SplicingGenomicsArticleEvolution MolecularStructural variationRC025403 medical and health sciencesSDG 3 - Good Health and Well-beingGeneticgenomicsSYSTEMATIC ANALYSISGeneticsGenomics--Databases.HumansGenetic TestingMolecular BiologySIGNATURESWhole genome sequencing1000 MultidisciplinaryChromothripsisScience & TechnologyRC0254 Neoplasms. Tumors. Oncology (including Cancer)Information DisseminationResearchInstitutes_Networks_Beacons/mcrcPreventionBiology and Life SciencesMolecularOncogenesCloud Computingmedicine.diseaseGenòmicaCompute cloudsMutation570 Life sciences; biologyCOMPREHENSIVE CHARACTERIZATIONGenèticaWhole Genome Sequencing--methodsBackground informationDNA Mutational Analysis ; Evolution ; Genetic / genetics ; Genome ; Genomics ; Germ-Line Mutation / genetics ; High-Throughput Nucleotide Sequencing ; Human / genetics ; Humans ; ICGC/TCGA Pan-Cancer Analysis of Whole Genomes ConsortiumMedizinGenomeWhole-genomeGenome mappingNeoplasms2.1 Biological and endogenous factorsPromoter Regions GeneticCàncer -- Aspectes genèticsTelomeraseGeneticsWomen's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17]MultidisciplinaryChromothripsisGenomeManchester Cancer Research Centregenomics cancer profiling3rd-DAS10124 Institute of Molecular Life SciencesWomen's cancers Radboud Institute for Health Sciences [Radboudumc 17]Multidisciplinary SciencesParallel sequencingICGC/TCGA Pan-Cancer Analysis of Whole Genomes ConsortiumFemaleprofilingMedical GeneticsEngineering sciences. TechnologyBiotechnologyGeneral Science & TechnologyThe Cancer Genome Atlas610 Medicine & healthComputational biologyQH426 GeneticsBiologyConsortium of the International Cancer Genome ConsortiumPromoter RegionsGermline mutationPan-cancer analysisKrabbameinsrannsóknirmedicinecancerddc:610QH426Germ-Line MutationMedicinsk genetikKrabbamein030304 developmental biologyCell ProliferationLANDSCAPEGenome Humancomprehensive characterizationPan-cancer analysis of whole genomesPoint mutationHuman GenomeCancerReproducibility of ResultsSOMATIC MUTATIONSEVOLUTIONCancer sequencing Chromothripsis telomereDNA-DAMAGEMutagenesisPATTERNS3111 BiomedicineCHARACTERIZATION
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Sudrabaino mākoņu novērojumi Latvijā 1957.-1983.gadā: žurnālu saturs un digitalizēšanas metodika

2022

Latvijas Astronomijas biedrības arhīvā glabājas mezosfēras mākoņu (MC) novērojumu žurnāli par laika posmu no 1957. līdz 1983. gadam.. Tā kā pēdējos gados ir pieaugusi interese par MK novērojumu vēsturisko statistiku klimata pārmaiņu kontekstā, ir veikta šo žurnālu digitalizācija. Materiālā ir aprakstīts novērojumu žurnālu saturs un to digitalizācijas metodika. Paši digitalizētie žurnāli ir pieejami šajā LU repozitorija kolekcijā, kā MS Excel faili.

Mesospheric cloudsobservations:NATURAL SCIENCES::Physics::Astronomy and astrophysics::Astronomy [Research Subject Categories]Mezosfēras mākoņiAstronomiskie novērojumi - LatvijaSudrabainie mākoņiNoctilucent clouds
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Novērotāju piezīmes, kas apjoma dēļ nav ievietotas tieši digitalizētajos žurnālos

2022

Mezosfēras mākoņu novērojumos sastopamas novērotāju piezīmes, kas sava apjoma dēļ nav ievietojamas žurnāla failā. Vairākos gadījumos novērotāji žurnālos ir arī pievienojuši grafiskas skices. Attiecīgās piezīmes tāpēc ievietotas atsevišķā teksta failā. Tās attiecas uz visu novērojumu periodu no 1957. līdz 1983.gadam un ir sakārtotas hronoloģiskā secībā. --//-- Mesospheric Cloud observation logs contain notes made by observers in the form of longer texts or graphic sketches. They are not included in the log files, as it would make them difficult to see and use. This volume contains notes on the entire observation period 1957-1983. They are arranged by observation sites in chronological order.

Mesospheric cloudsobservationsmezosfēras mākoņi:NATURAL SCIENCES::Physics::Astronomy and astrophysics::Astronomy [Research Subject Categories]sudrabainie mākoņiNoctilucent clouds
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Dust Production and Particle Acceleration in Supernova 1987A Revealed with ALMA

2013

Supernova (SN) explosions are crucial engines driving the evolution of galaxies by shock heating gas, increasing the metallicity, creating dust, and accelerating energetic particles. In 2012 we used the Atacama Large Millimeter/Submillimeter Array to observe SN 1987A, one of the best-observed supernovae since the invention of the telescope. We present spatially resolved images at 450um, 870um, 1.4mm, and 2.8mm, an important transition wavelength range. Longer wavelength emission is dominated by synchrotron radiation from shock-accelerated particles, shorter wavelengths by emission from the largest mass of dust measured in a supernova remnant (>0.2Msun). For the first time we show unambig…

MetallicityAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesSynchrotron radiationAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsSubmillimeter ArrayEARLY UNIVERSEindividual (1987A) [supernovae]Magellanic CloudsAstrophysics::Solar and Stellar AstrophysicsEjectaSupernova remnantSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy AstrophysicsQBHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsISM [galaxies]supernova remnants [ISM]Astronomy and AstrophysicsOPTICAL-PROPERTIESHUBBLE-SPACE-TELESCOPEAstrophysics - Astrophysics of GalaxiesEVOLUTIONGalaxyParticle accelerationEJECTASupernovaPhysics and AstronomyAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)REVERSE SHOCKREMNANTAstrophysics::Earth and Planetary AstrophysicsEMISSIONAstrophysics - High Energy Astrophysical PhenomenaMASSIVE STARSSN 1987A
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VizieR Online Data Catalog: HOBYS: 46 MDCs found in NGC 6334 (Tige+, 2017)

2017

Fluxes and information for the 46 MDCs found in NGC 6334 (3 data files).

Molecular cloudsPhotometry: millimetric/submm[SDU.ASTR.GA] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA]
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Sudrabaino mākoņu novērojumu žurnāli, 1958 : Baldone, Sigulda

1958

Digitalizētie mezosfēras mākoņu 1958. gada BALDONES un SIGULDAS novērojumu žurnāli: novērojumu sezonas naktis, novērotāji, MK identifikācija, meteoroloģiskā situācija, informācija par uzņemtajām fotogrāfijām. --//-- Mesospheric cloud observation data in Baldone and Sigulda, 1958, digitized observation logs: observation season nights, observers, MC identification, meteorological situation, information about the photos taken.

Novērojumu žurnāls - SiguldaMesospheric cloudsNovērojumu žurnāls - Baldone:NATURAL SCIENCES::Physics::Astronomy and astrophysics::Astronomy [Research Subject Categories]Mezosfēras mākoņiSudrabainie mākoņiobservation dataNoctilucent clouds
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Search for Galactic PeV gamma rays with the IceCube Neutrino Observatory

2013

Gamma-ray induced air showers are notable for their lack of muons, compared to hadronic showers. Hence, air shower arrays with large underground muon detectors can select a sample greatly enriched in photon showers by rejecting showers containing muons. IceCube is sensitive to muons with energies above ~500 GeV at the surface, which provides an efficient veto system for hadronic air showers with energies above 1 PeV. One year of data from the 40-string IceCube configuration was used to perform a search for point sources and a Galactic diffuse signal. No sources were found, resulting in a 90% C.L. upper limit on the ratio of gamma rays to cosmic rays of 1.2 x 10^(-3)for the flux coming from …

Nuclear and High Energy PhysicsTELESCOPEPoint sourcePhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayAstrophysicsddc:500.201 natural sciences7. Clean energyIceCube Neutrino ObservatoryIceCubeHESS0103 physical sciencesddc:530MILAGRO010306 general physics010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsMuonGamma rayAstrophysics::Instrumentation and Methods for AstrophysicsPLANEGalactic planeAir showerPhysics and Astronomy13. Climate actionDISCOVERYMilagroMOLECULAR CLOUDSTEVRADIATIONHigh Energy Physics::ExperimentAstrophysics - High Energy Astrophysical PhenomenaEMISSION
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Traitement 3D de nuages de points basé sur la connaissance

2013

The modeling of real-world scenes through capturing 3D digital data has proven to be both useful andapplicable in a variety of industrial and surveying applications. Entire scenes are generally capturedby laser scanners and represented by large unorganized point clouds possibly along with additionalphotogrammetric data. A typical challenge in processing such point clouds and data lies in detectingand classifying objects that are present in the scene. In addition to the presence of noise, occlusionsand missing data, such tasks are often hindered by the irregularity of the capturing conditions bothwithin the same dataset and from one data set to another. Given the complexity of the underlying…

OntologyKnowledge modelingObject detection[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Knowledge-based systems[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Détection d’objetsSystèmes basés connaissanceSélection d’algorithmeClassificationTraitement 3D[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]3D processingNuages de pointsAlgorithm selectionSegmentation[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]OntologiesPoint cloudsModélisation des connaissances
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Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers

2016

In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power transfer (SWIPT) receivers. The CMC, which consists of several collaborating MTs offers one potential solution for downlink con- tent distribution and for the energy consumption reduction at the terminal side. Meanwhile, as RF signal can carry both informa- tion and energy simultaneously, the induced SWIPT has gained much attention for energy efficiency design of mobile nodes. Previous work on the design of CMC system mainly focused on the cloud formulation o…

Optimization problemComputer Networks and CommunicationsComputer scienceDistributed computingresource allocationAerospace EngineeringCloud computing02 engineering and technology7. Clean energyScheduling (computing)Frequency allocation0203 mechanical engineeringTelecommunications link0202 electrical engineering electronic engineering information engineeringWirelessElectrical and Electronic Engineeringta113collaborative mobile cloudscontent distributionbusiness.industryuser scheduling020302 automobile design & engineering020206 networking & telecommunicationsEnergy consumptionpower allocationuser cooperationgreen communicationsAutomotive EngineeringConvex optimizationResource allocationsubchannel allocationbusinessEfficient energy useIEEE Transactions on Vehicular Technology
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Shock-cloud interaction in the Vela SNR II. Hydrodynamic model

2006

In the framework of the study of the X-ray and optical emission in supernova remnants we focus on an isolated X-ray knot in the northern rim of the Vela SNR (Vela FilD), whose X-ray emission has been studied and discussed in Paper I. We aim at understanding the physical origin of the X-ray and optical emission in FilD, at understanding the role of the different physical processes at work, and at obtaining a key for the interpretation of future X-ray observations of SNRs. To this end we have pursued an accurate ``forward'' modeling of the interaction of the Vela SNR shock with an ISM cloud. We perform hydrodynamic simulations and we directly compare the observables synthesized from the simul…

PhysicsAstrophysics::High Energy Astrophysical PhenomenacloudsISMAstrophysics (astro-ph)FOS: Physical sciencesAstronomy and AstrophysicsObservableAstrophysicsThermal conductionVelaAstrophysicsSpectral lineindividual objectVela SNRISMShock wavesSupernovakinematics and dynamicsISMsupernova remnantKnot (unit)Space and Planetary ScienceThermalIntercloudHydrodynamicsISMAstrophysics::Galaxy Astrophysics
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