Search results for "aggregation."

showing 10 items of 544 documents

Structure-property relationships in aromatic thioethers featuring aggregation-induced emission : Solid-state structures and theoretical analysis

2019

We describe in this paper a structure–property relationship study of aromatic thioethers with aggregation-induced emission (AIE) properties. We combine a structural analysis based on geometrical consideration with an in-depth analysis of the crystalline packing supported by quantum mechanical calculations. Our results allow us to correlate the enhanced fluorescence quantum yields with the significant increase of C–H⋯π and the decrease of π⋯π interactions in the solid state – a result which supports the well-accepted AIE mechanism quantitatively.

Materials scienceSolid-stateChemieStructure property02 engineering and technologyGeneral Chemistry010402 general chemistry021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesFluorescence0104 chemical sciencesChemical physicsGeneral Materials ScienceSettore CHIM/07 - Fondamenti Chimici Delle TecnologieAggregation-induced emission0210 nano-technologyAggregation-Induced-Emission Packing Computational Chemistry FluorescenceQuantum
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Nanovectorization of TRAIL with single wall carbon nanotubes enhances tumor cell killing

2015

International audience; Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL or Apo2L) is a member of the tumor necrosis factor (TNF) superfamily. This type II transmembrane protein is able to bound specifically to cancer cell receptors (i.e., TRAIL-R1 (or DR4) and TRAIL-R2 (or DR5)) and to induce apoptosis without being toxic for healthy cells. Because membrane-bound TRAIL induces stronger receptor aggregation and apoptosis than soluble TRAIL, we proposed here to vectorize TRAIL using single-walled carbon nanotubes (SWCNTs) to mimic membrane TRAIL. Owing to their exceptional and revolutional properties, carbon nanotubes, especially SWCNTs, are used in a wide range of physical or,…

Materials science[SDV.BIO]Life Sciences [q-bio]/BiotechnologyStereochemistryCarbon nanotubesBioengineeringTRAIL02 engineering and technologyTNF-Related Apoptosis-Inducing Ligand03 medical and health sciencesMicroscopy Electron TransmissionCell Line TumorNeoplasms[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyHumans[CHIM]Chemical SciencesGeneral Materials Science[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyReceptor[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyComputingMilieux_MISCELLANEOUS030304 developmental biologyReceptor Aggregation0303 health sciencesNanotubes CarbonMechanical Engineeringnanovector[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyGeneral Chemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsnanomedicineTransmembrane protein[SDV.BIO] Life Sciences [q-bio]/BiotechnologyReceptors TNF-Related Apoptosis-Inducing LigandCell cultureApoptosisCancer cellCancer researchcancer therapydeath receptorTumor necrosis factor alphaNanocarriers0210 nano-technology
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Involving fuzzy orders for multi-objective linear programming

2012

This paper presents a solution approach for multi-objective linear programming problem. We propose to involve fuzzy order relations to describe the objective functions where in ”classical” fuzzy approach the membership functions which illustrate how far the concrete point is from the solution of individual problem are studied. Further the global fuzzy order relation is constructed by aggregating the individual fuzzy order relations. Thus the global fuzzy relation contains the information about all objective functions and in the last step we find a maximum in the set of constrains with respect to the global fuzzy order relation. We illustrate this approach by an example.

Mathematical optimizationFuzzy classificationMathematics::General MathematicsFuzzy setmulti-objective linear programmingfuzzy order relationType-2 fuzzy sets and systemsDefuzzificationModeling and SimulationFuzzy mathematicsQA1-939aggregation of fuzzy relationsFuzzy numberFuzzy set operationsMathematicsAnalysisMembership functionMathematicsMathematical Modelling and Analysis
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A choice of bilevel linear programming solving parameters: factoraggregation approach

2013

Our paper deals with the problem of choosing correct parameters for the bilevel linear program- ming solving algorithm proposed by M. Sakawa and I. Nishizaki. We suggest an approach based on fac- toraggregation, which is a specially designed general aggregation operator. The idea of factoraggregation arises from factorization by the equivalence relation generated by the upper level objective function. We prove several important properties of the factorag- gregation result regarding the analysis of param- eters in order to find an optimal solution for the problem. We illustrate the proposed method with some numerical and graphical examples, in particu- lar we consider a modification of the m…

Mathematical optimizationLinear programmingComputer scienceMonotonic functionFuzzy logicMultiobjective linear programming problemOperator (computer programming)Production planningBilevel linear programming problemFactorizationEquivalence relationBoundary value problem:MATHEMATICS::Applied mathematics [Research Subject Categories]General aggregation operator
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Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation

2011

Part 1: - PE-CRN 2011 Workshop; International audience; In cognitive radio networks, channel aggregation techniques which aggregate several channels together as one channel have been proposed in many MAC protocols. In this paper, we consider elastic data traffic and spectrum adaptation for channel aggregation, and propose two new strategies named as Greedy and Dynamic respectively. The performance of channel aggregation represented by these strategies is evaluated using continuous time Markov chain models. Moreover, simulation results based on various traffic distributions are utilized in order to evaluate the validity and preciseness of the mathematical models.

Mathematical optimizationMathematical modelComputer science020209 energycontinuous time Markov chain modelsAggregate (data warehouse)Cognitive radio networks020206 networking & telecommunications02 engineering and technologyMarkov modelchannel aggregation strategyperformance evaluationContinuous-time Markov chain[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Cognitive radio0202 electrical engineering electronic engineering information engineeringDynamic channel[INFO]Computer Science [cs]SimulationComputer Science::Information TheoryCommunication channel
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La décomposition canonique et la cointégration

1994

This paper has introduced state space models for cointegrated time series. In doing so, the notion of cointegration is slightly generalized. We develop the notion of dynamic aggregation link with error correction model and common trends.

MathématiquesError correction modelCommon trendStatistics[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]Intégration dynamiqueOperations researchDynamic aggregationState space[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]MathematicsEspace état
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Cetylpyridinium chloride promotes disaggregation of SARS-CoV-2 virus-like particles

2022

ABSTRACT Background SARS-CoV-2 is continuously disseminating worldwide. The development of strategies to break transmission is mandatory. Aim of the study To investigate the potential of cetylpyridinium chloride (CPC) as a viral inhibitor. Methods SARS-CoV-2 Virus Like-Particles (VLPs) were incubated with CPC, a potent surfactant routinely included in mouthwash preparations. Results Concentrations of 0.05% CPC (w/v) commonly used in mouthwash preparations are sufficient to promote the rupture of SARS-CoV-2 VLP membranes. Conclusion Including CPC in mouthwashes could be a prophylactic strategy to keep SARS-CoV-2 from spreading.

Microbiology (medical)Virologiavirusestechnology industry and agriculturevirus diseasesMicrobiologiaInfectious and parasitic diseasesRC109-216macromolecular substancesvirus-like particlesMicrobiologyQR1-502virologybody regionssars-cov-2Infectious Diseasesmembrane disaggregationcetylpyridinium chlorideOriginal ArticleDentistry (miscellaneous)Research ArticleJournal of Oral Microbiology
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Microscopic Study of Injectable Steroids: Effects of Postmixing Time on Particle Aggregation

2020

Background: Epidural steroid injection (ESI) is a common practice for pain treatment since 1953. In 2014, the FDA issued a warning about ESI. Studies have focused on the effect of the particle size and their ability to generate harmful aggregates. Although steroid aggregates provide longer times for reabsorption, therefore a longer anti-inflammatory effect, they are potentially harmful to the central nervous system via embolic mechanisms. Previous studies have established that steroidal aggregates with asizes over 100 μm are potentially able to occlude blood vessels. Studies by Tiso et al and Benzon et al addressed the role of steroids on CNS adverse events, with similar outcomes. The main …

MicroscopyR softwareTriamcinolone acetonidebusiness.industryEpidural steroid injectionmedicine.medical_treatmentInjections EpiduralPharmacologyTriamcinoloneBetamethasoneDexamethasoneSteroidParticle aggregationAnesthesiology and Pain MedicineHumansMedicineBetamethasoneSteroidsParticle sizeParticle SizebusinessGlucocorticoidsDexamethasonemedicine.drugPain Physician
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Low risk of intracranial emergency in patients with minor head injury treated with antiplatelet therapy.

2021

Minor Head Injurybusiness.industryAnesthesiaEmergency MedicineMedicineCraniocerebral TraumaHumansIn patientGlasgow Coma ScalebusinessPlatelet Aggregation InhibitorsEuropean journal of emergency medicine : official journal of the European Society for Emergency Medicine
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The route to protein aggregate superstructures: Particulates and amyloid-like spherulites.

2015

AbstractDepending on external conditions, native proteins may change their structure and undergo different association routes leading to a large scale polymorphism of the aggregates. This feature has been widely observed but is not fully understood yet. This review focuses on morphologies, physico-chemical properties and mechanisms of formation of amyloid structures and protein superstructures. In particular, the main focus will be on protein particulates and amyloid-like spherulites, briefly summarizing possible experimental methods of analysis. Moreover, we will highlight the role of protein conformational changes and dominant forces in driving association together with their connection w…

Models MolecularAmyloidAmyloid Superstructures Protein aggregation spectroscopyProtein superstructureProtein ConformationBiophysicsNanotechnologyProtein aggregationProtein particulateBiochemistryProtein Aggregation PathologicalProtein AggregatesX-Ray DiffractionStructural BiologyElectrostaticsGeneticsHumansMolecular BiologyAmyloid likeAmyloid-like spheruliteChemistryCell BiologyConformational changeSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Microscopy Fluorescence MultiphotonModels ChemicalAggregate structureThermodynamicsExperimental methodsProtein aggregationFEBS letters
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