Search results for "Computation"

showing 10 items of 7362 documents

Improving the rheometry of rubberized bitumen: experimental and computation fluid dynamics studies

2017

Abstract Multi-phase materials are common in several fields of engineering and rheological measurements are intensively adopted for their development and quality control. Unfortunately, due to the complexity of these materials, accurate measurements can be challenging. This is the case of bitumen-rubber blends used in civil engineering as binders for several applications such as asphalt concrete for road pavements but recently also for roofing membranes. These materials can be considered as heterogeneous blends of fluid and particles with different densities. Due to this nature the two components tends to separate and this phenomenon can be enhanced with inappropriate design and mixing. Thi…

RheometryComputer sciencebusiness.industryMechanical engineeringViscometer02 engineering and technologyBuilding and ConstructionComputational fluid dynamics021001 nanoscience & nanotechnologyViscosityImpeller020401 chemical engineeringRheologyMaterials Science(all)Asphalt rubber Rubberized bitumen CFD Rheometry Complex fluids ViscosityFluid dynamicsSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials Science0204 chemical engineering0210 nano-technologybusinessComplex fluidCivil and Structural Engineering
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Engineering a Circular Riboregulator in Escherichia coli

2020

RNAs of different shapes and sizes, natural or synthetic, can regulate gene expression in prokaryotes and eukaryotes. Circular RNAs have recently appeared to be more widespread than previously thought, but their role in prokaryotes remains elusive. Here, by inserting a riboregulatory sequence within a group I permuted intron-exon ribozyme, we created a small noncoding RNA that self-splices to produce a circular riboregulator in Escherichia coli . We showed that the resulting riboregulator can trans -activate gene expression by interacting with a cis -repressed messenger RNA. We characterized the system with a fluorescent reporter and with an antibiotic resistance marker, and we modeled thi…

Riboregulator0303 health sciencesMessenger RNAbiologyRibozymeRNAGeneral MedicineComputational biologyQH426-470Non-coding RNA03 medical and health sciencesSynthetic biology0302 clinical medicineCircular RNAGene expressionGeneticsbiology.proteinTP248.13-248.65030217 neurology & neurosurgeryBiotechnology030304 developmental biologyBioDesign Research
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Left-star order structure of Rickart *-rings

2015

Janowitz proved in 1983 that the initial segments of a Rickart *-ring with the star order are orthomodular posets. In this paper, the same result is proved for the left-star order , which was introduced by Marovtet al., by finding an orthogonality which corresponds to in a certain way and then applying a result proved by Cīrulis which states that the initial segments of any quasi-orthomodular set are orthomodular.

Ring (mathematics)Algebra and Number TheoryOrder (ring theory)010103 numerical & computational mathematics0102 computer and information sciencesStar (graph theory)01 natural sciencesCombinatoricsSet (abstract data type)Mathematics::LogicOrthogonality010201 computation theory & mathematicsComputer Science::Logic in Computer ScienceMathematics::Category TheoryOrder structure0101 mathematicsMathematicsLinear and Multilinear Algebra
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A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

2017

The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-makin…

Risk analysis (engineering)010201 computation theory & mathematicsComputer science[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020204 information systemsMulti-agent system0202 electrical engineering electronic engineering information engineering0102 computer and information sciences02 engineering and technology[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]Disaster response01 natural sciencesComputingMilieux_MISCELLANEOUS
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The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer‐aided detection

2019

Tumors are complex networks of constantly interacting elements: tumor cells, stromal cells, immune and stem cells, blood/lympathic vessels, nerve fibers and extracellular matrix components. These elements can influence their microenvironment through mechanical and physical signals to promote tumor cell growth. To get a better understanding of tumor biology, cooperation between multidisciplinary fields is needed. Diverse mathematic computations and algorithms have been designed to find prognostic targets and enhance diagnostic assessment. In this work, we use computational digital tools to study the topology of vitronectin, a glycoprotein of the extracellular matrix. Vitronectin is linked to…

RiskCancer ResearchStromal celltopologyTumor Markers and SignaturesComputer scienceAngiogenesisTopologyTopologyvitronectinExtracellular matrixComputational biology03 medical and health sciencesNeuroblastoma0302 clinical medicinecomputational biologyNeuroblastNeuroblastomamedicineTumor MicroenvironmentHumansVitronectinCell ProliferationbiologyNeovascularization PathologicComplex networkmedicine.diseasePrognosisExtracellular MatrixOncology030220 oncology & carcinogenesisnetworksbiology.proteinVitronectinStem cellNetworksStromal CellsAlgorithmsInternational Journal of Cancer
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Cancer and the microbiome : potential applications as new tumor biomarker

2015

Abstract: Microbial communities that colonize in humans are collectively described as microbiome. According to conservative estimates, about 15% of all types of neoplasms are related to different infective agents. However, current knowledge is not sufficient to explain how the microbiome contributes to the growth and development of cancers. Large and thorough studies involving colonized, diverse and complex microbiome entities are required to identify microbiome as a potential cancer marker and to understand how the immune system is involved in response to pathogens. This article reviews the existing evidence supporting the enigmatic association of transformed microbiome with the developmen…

RiskComputational biologyBiologycancer biomarkerImmune systemcancer diagnosisNeoplasmstransformed microbiomemedicineBiomarkers TumorAnimalsHumansPharmacology (medical)Microbiomecancer biomarker; cancer diagnosis; cancer prevention; immunological modification; transformed microbiome; Animals; Biomarkers; Tumor; Humans; Neoplasms; Risk; Microbiota; Oncology; Pharmacology (medical)Cancer markercancer diagnosiimmunological modificationCancer preventionTumorcancer preventionAnimalMicrobiotaCancermedicine.diseaseBiomarkercancer biomarker; cancer diagnosis; cancer prevention; immunological modification; transformed microbiome; Animals; Biomarkers Tumor; Humans; Neoplasms; Risk; Microbiota; Oncology; Pharmacology (medical)OncologyImmunologyNeoplasmHuman medicineBiomarkersHumanExpert review of anticancer therapy
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Rodent Animal Research in UTx

2019

The rodents, mouse, and rat represent well-characterized animal sources for basic research in any field of biological sciences. The animals are cheap compared to other type of animals, easy to husbandry, and are extremely well characterized from genetic and physiology point of views, especially when it comes to immunological and reproductive aspects. Availability of gene-modified strains, easy embryo transfer, and the accessibility of specific recombinant proteins and monoclonal antibodies are further advantages. Hence, the first experiments done in the modern era of uterus transplantation used mouse and rat as the main animal models. In this chapter, we describe important key steps of the …

Rodentbiologymedicine.drug_classAnimal Sourcesmedicine.medical_treatmentImmunosuppressionComputational biologyMonoclonal antibodyEmbryo transferBasic researchbiology.animalUterus transplantationmedicineBiological sciences
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Rotation-Invariant Texture Retrieval via Signature Alignment Based on Steerable Sub-Gaussian Modeling

2008

This paper addresses the construction of a novel efficient rotation-invariant texture retrieval method that is based on the alignment in angle of signatures obtained via a steerable sub-Gaussian model. In our proposed scheme, we first construct a steerable multivariate sub-Gaussian model, where the fractional lower-order moments of a given image are associated with those of its rotated versions. The feature extraction step consists of estimating the so-called covariations between the orientation subbands of the corresponding steerable pyramid at the same or at adjacent decomposition levels and building an appropriate signature that can be rotated directly without the need of rotating the im…

RotationComputational complexity theoryGaussianFeature extractionNormal DistributionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern Recognition Automatedsymbols.namesakeImage textureArtificial IntelligenceImage Interpretation Computer-AssistedComputer SimulationGaussian processImage retrievalMathematicsModels Statisticalbusiness.industryPattern recognitionImage EnhancementComputer Graphics and Computer-Aided DesignSimilitudeSubtraction TechniquesymbolsRotational invarianceArtificial intelligencebusinessAlgorithmsSoftwareIEEE Transactions on Image Processing
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Improved centrifugal and hyperfine analysis of ND2H and NH2D and its application to the spectral line survey of L1544

2021

Abstract Quantifying molecular abundances of astrochemical species is a key step towards the understanding of the chemistry occurring in the interstellar medium. This process requires a profound knowledge of the molecular energy levels, including their structure resulting from weak interactions between nuclear spins and the molecular rotation. With the aim of increasing the quality of spectral line catalogs for the singly- and doubly-deuterated ammonia (NH2D and ND2H), we have revised their rotational spectra by observing many hyperfine-resolved lines and more accurate high-frequency transitions. The measurements have been performed in the submillimeter-wave region (265–1565 GHz) using a fr…

Rotational spectroscopy010402 general chemistry01 natural sciencesStarless coreSpectral linelaw.inventionDeuterium fractionationAmmoniaInterstellar mediumlaw0103 physical sciencesPhysical and Theoretical ChemistryHyperfine structureAstrophysics::Galaxy AstrophysicsSpectroscopyLine (formation)010304 chemical physicsSpectrometerAtomic and Molecular Physics and OpticsSynchrotron0104 chemical sciencesComputational physicsInterstellar mediumDeuteriumHyperfine structureRotational spectroscopyJournal of Molecular Spectroscopy
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Formation of an interlocked double-chain from an organic-inorganic [2]rotaxane.

2019

Here we show that a structure containing a polymeric interlocking daisy chain is obtained from the reaction of an inorganic–organic [2]rotaxane [HB{CrIII7NiII(μ-F)8(O2CtBu)16}], where B is an organic thread terminated with a bi-pyridyl unit, with an oxo-centered metal carboxylate triangle [FeIII2CoII(μ3-O)(O2CtBu)6(HO2CtBu)3].

Rotaxane010405 organic chemistryChemistryMetals and AlloysGeneral Chemistry010402 general chemistry01 natural sciencesCatalysis0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsDouble chainMetalchemistry.chemical_compoundTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYvisual_artPolymer chemistryOrganic inorganicMaterials ChemistryCeramics and Compositesvisual_art.visual_art_mediumCarboxylateDaisy chainChemical communications (Cambridge, England)
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