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showing 10 items of 59416 documents

CCDC 267743: Experimental Crystal Structure Determination

2005

Related Article: M.Cametti, M.Nissinen, A.D.Cort, L.Mandolini, K.Rissanen|2005|J.Am.Chem.Soc.|127|3831|doi:10.1021/ja042807n

(NN'-o-Phenylenebis(salicylideneaminato))-methanol-dioxo-uranium (NN'-o-phenylenebis(salicylideneaminato))-aqua-dioxo-uranium chloroform methanol solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 949724: Experimental Crystal Structure Determination

2014

Related Article: Alexander Giovannitti, Stefan M. Seifermann, Angela Bihlmeier, Thierry Muller, Filip Topic, Kari Rissanen, Martin Nieger, Wim Klopper, and Stefan Bräse|2013|Eur.J.Org.Chem.|2013|7907|doi:10.1002/ejoc.201301146

(bis(benzoyl)methano)-C60fullerene chloroform solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1444456: Experimental Crystal Structure Determination

2016

Related Article: Jakob Kljun, Maja Anko, Katja Traven, Maša Sinreih, Renata Pavlič, Špela Peršič, Žiga Ude, Elisa Esteve Codina, Jure Stojan, Tea Lanišnik Rižner, Iztok Turel|2016|Dalton Trans.|45|11791|doi:10.1039/C6DT00668J

(dimethyl sulfoxide)-(pyridin-2-olato 1-oxide)-(147-trithionane)-ruthenium hexafluorophosphate chloroform solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 981913: Experimental Crystal Structure Determination

2014

Related Article: Abdou K. D. Dimé, Charles H. Devillers, Hélène Cattey, Dominique Lucas|2014|Dalton Trans.|43|14554|doi:10.1039/C4DT00221K

(mu-7172737-tetrakis(4-methylphenyl)-1232-diphenyl-525414243454647-octaazaundecacyclo[36.2.1.136.1811.11316.11821.12326.12831.13336.0224.0422]octatetraconta-136(48)7911(47)12141618(45)19212326(44)272931(43)32343638(41)39-docosaenato(4-)-1kappa4N25N41N42N43:2kappa4N5N45N46N47)-di-nickel(ii) chloroform solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1874714: Experimental Crystal Structure Determination

2019

Related Article: Biswanath Das, Afnan Al-Hunaiti, Brenda N. S��nchez-Egu��a, Erica Zeglio, Serhiy Demeshko, Sebastian Dechert, Steffen Braunger, Matti Haukka, Timo Repo, Ivan Castillo, Ebbe Nordlander|2019|Frontiers in Chemistry|7|97|doi:10.3389/fchem.2019.00097

(mu-oxo)-bis(mu-formato)-bis(2-[(24-dimethylphenyl)sulfanyl]-NN-bis[(1-methyl-1H-benzimidazol-2-yl)methyl]ethan-1-amine)-di-iron(iii) bis(perchlorate) methanol unknown solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Validez y reproducibilidad de una rúbrica para el análisis de la expresividad en la danza

2022

La danza es una disciplina artística que combina la destreza del movimiento corporal con la expresividad de emociones, sentimientos e ideas. Sin embargo, generalmente la expresividad queda en segundo plano tanto en el proceso de enseñanza como en su evaluación. En ese sentido, el objetivo del presente estudio fue diseñar y validar una rúbrica para evaluar la expresividad en la danza en general, así como valorar su reproducibilidad inter-evaluador y su aplicación en dos grupos de bailarines/as. Ambos grupos se aprendieron una misma coreografía con la diferencia de que solo uno de ellos fue conocedor de la rúbrica. Dicha coreografía fue grabada en vídeo para posteriormente ser evaluada por do…

-- FormacióAvaluació educativaDansaArt
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The Greenland shark Somniosus microcephalus—Hemoglobins and ligand-binding properties

2017

A large amount of data is currently available on the adaptive mechanisms of polar bony fish hemoglobins, but structural information on those of cartilaginous species is scarce. This study presents the first characterisation of the hemoglobin system of one of the longest-living vertebrate species (392 +/- 120 years), the Arctic shark Somniosus microcephalus. Three major hemoglobins are found in its red blood cells and are made of two copies of the same a globin combined with two copies of three very similar beta subunits. The three hemoglobins show very similar oxygenation and carbonylation properties, which are unaffected by urea, a very important compound in marine elasmobranch physiology.…

---0301 basic medicinegenetic structuresProtein ConformationGreenlandlcsh:MedicineRESONANCE RAMAN-SPECTRAHETERODONTUS-PORTUSJACKSONISpectrum Analysis RamanBiochemistrychemistry.chemical_compoundHemoglobinsProtein structureAMINO-ACID SEQUENCEAnimal CellsSequence Analysis ProteinRed Blood CellsUreaNOTOTHENIOID FISHESPost-Translational Modificationlcsh:ScienceHemeChondrichthyesMultidisciplinarybiologyChemistryOrganic CompoundsChemical ReactionsVertebrateEukaryotaMOLECULAR ADAPTATIONSMicrocephalusGlobinsChemistryBiochemistryOptical EquipmentVertebratesPhysical SciencesEngineering and TechnologyCellular TypesResearch ArticleEnvironmental MonitoringProtein BindingQUATERNARY STRUCTURESAllosteric regulationEquipmentSTRETCHING FREQUENCIESHeme03 medical and health sciencesOXYGEN-BINDINGbiology.animalAnimals14. Life underwaterGlobinHemoglobinPhotolysisBlood Cells030102 biochemistry & molecular biologyLaserslcsh:ROrganic ChemistryOrganismsChemical CompoundsBiology and Life SciencesProteinsxxxCell Biologybiology.organism_classificationCARTILAGINOUS FISHOxygen030104 developmental biologySomniosusFishSharkslcsh:QHemoglobinProtein MultimerizationELASMOBRANCH HEMOGLOBINElasmobranchiiPLoS ONE
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Reinforcement learning approach to nonequilibrium quantum thermodynamics

2021

We use a reinforcement learning approach to reduce entropy production in a closed quantum system brought out of equilibrium. Our strategy makes use of an external control Hamiltonian and a policy gradient technique. Our approach bears no dependence on the quantitative tool chosen to characterize the degree of thermodynamic irreversibility induced by the dynamical process being considered, require little knowledge of the dynamics itself and does not need the tracking of the quantum state of the system during the evolution, thus embodying an experimentally non-demanding approach to the control of non-equilibrium quantum thermodynamics. We successfully apply our methods to the case of single- …

---Computer scienceFOS: Physical sciencesGeneral Physics and AstronomyNon-equilibrium thermodynamics01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmassymbols.namesakeQuantum stateSHORTCUTS0103 physical sciencesQuantum systemReinforcement learningStatistical physics010306 general physicsQuantum thermodynamicsCondensed Matter - Statistical MechanicsADIABATICITYQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Entropy productionENTROPYsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)
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GPS izsekošanas sistēmas funkcionalitātes uzlabojumi

2021

Kvalifikācijas darba ietvaros ir izstrādāt “Degvielas atskaites” programmatūru, ar kuras palīdzību atvieglotu darbu grāmatvežiem un ietaupītu viņu laiku, uzskaitot uzņēmuma tehnikas degvielas lietošanu. Programmatūra ļauj lietotājiem pievienot jaunus degvielas čekus, tos skatīt, rediģēt, kā arī dzēst. Programmprodukta mērķis ir degvielas čeku ievietošana datu bāzē un to datu ģenerēšana atskaites veidā. Funkcionalitātes uzlabojumi tika izstrādāti C# valodā, izmantojot Microsoft .NET satvaru un tajā esošo Windows Forms bibliotēku, Microsoft RDLC Report Designer .NET ietvaru, kā arī SQL Server Express datubāzi.

.NETDatorzinātneGPSC#Windows FormsExcel
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IT projekta pārcelšana uz Microsoft Azure mākoņa platformu

2015

Pēdējo gadu laikā, strauji pieaugot interneta ātrumam un izplatībai, palielinās uzņēmumu interese par projektu izstrādi un uzturēšanu mākonī. Microsoft piedāvā produktu Azure, kas nodrošina ērtu un elastīgu risinājumu projektu uzturēšanai un izstrādei apvienojumā ar iespējām mainīt nepieciešamos datu apstrādes un skaitļošanas resursus, saglabājot salīdzinoši mazas izmaksas. Microsoft Azure piemērots visa izmēra projektiem. Darbā aplūkotas galvenās lietas, par ko jāpadomā pirms sākt projekta pārcelšanu uz Microsoft Azure un galvenās problēmas, kādas varētu rasties, pārceļot, izstrādē jau esošu projektu uz Microsoft Azure mākoņa platformu. Salīdzinātas priekšrocības un trūkumi projekta uzturē…

.NETMicrosoftmākoņa platformasalīdzinājumsDatorzinātneAzure
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