Search results for "Additive"

showing 10 items of 297 documents

The Effect of Dopants on Sintering and Microstructure of Lead-free KNN Ceramics

2011

Lead-free potassium sodium niobate (K0.5Na0.5)NbO3 (KNN) has been prepared via conventional ceramic processing method. The influence of 0.5 wt% - 1.5 wt% MnO2 and WO3 addition on the sintering, crystallographic structure, microstructure and dielectric properties of KNN has been investigated. Optimal sintering temperatures of KNN ceramics were observed to be in the narrow interval: 1090 °C - 1110 °C for MnO2 doped KNN; 1150 °C - 1170 °C for pure KNN and doped with WO3. XRD patterns showed that all the samples have single perovskite structure with monoclinic structure. Microstructure of ceramics was changed greatly by using dopants.http://dx.doi.org/10.5755/j01.ms.17.1.251

lead-freelcsh:TN1-997sinteringMaterials scienceDopantDopingAnalytical chemistrySinteringMineralogyDielectricCrystal structureMicrostructurepotassium sodium niobatevisual_artpiezoelectric ceramicsvisual_art.visual_art_mediumoxide additivesGeneral Materials ScienceCeramiclcsh:Mining engineering. MetallurgyMonoclinic crystal systemMedžiagotyra
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Role of low-weight carboxylic acids in phytotoxicity of composts

2013

lyhytketjuiset karboksyylihapotcompostmunicipal sludgeLWCArasvahapotkompostikompostointiphytotoxicitymyrkyllisyysbiowastecompost additiveslow-weight carboxylic acidsjätevesilietetoksisuusbiojätteetfytotoksisuus
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The “Seili-index” For The Prediction of Chlorophyll-α Levels In The Archipelago Sea of The Northern Baltic Sea, Southwest Finland

2021

AbstractTo build a forecasting tool for the state of eutrophication in the Archipelago Sea, we fitted a Generalized Additive Mixed Model (GAMM) to marine environmental monitoring data, which were collected over the years 2011–2019 by an automated profiling buoy at the Seili ODAS-station. The resulting “Seili-index” can be used to predict the chlorophyll-α (chl-a) concentration in the seawater a number of days ahead by using the temperature forecast as a covariate. An array of test predictions with two separate models on the 2019 data set showed that the index is adept at predicting the amount of chl-a especially in the upper water layer. The visualization with 10 days of chl-a level predict…

mallintaminenklorofylliIndex (economics)ympäristövaikutuksetcyanobacteriachemistry.chemical_compoundwindchlorophyllsyanobakteeritGeneral Environmental Sciencevesistötgeographygeography.geographical_feature_categoryrehevöityminentemperatureGeneralized Additive Mixed Model (GAMM)ennusteetprofling buoymerivesiOceanographyBaltic seachemistryympäristövaikutuksetSaaristomeriChlorophyllArchipelagoennustettavuuslämpötilamallit (mallintaminen)meret
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Is there a role for antileukotrienes in urticaria?

2006

In vitro and in vivo clinical and experimental data have suggested that leukotrienes play a key role in inflammatory reactions of the skin. Antileukotriene drugs, i.e. leukotriene receptor antagonists and synthesis inhibitors, are a new class of anti-inflammatory drugs that have shown clinical efficacy in the management of asthma. We searched the MedLine database and carried out a manual search on journals specializing in allergy and dermatology for the use of antileukotriene drugs in urticaria. Montelukast might be effective in chronic urticaria associated with aspirin or food additive hypersensitivity or with autoreactivity to intradermal serum injection when taken with an antihistamine b…

medicine.medical_specialtyAllergyLeukotrienesSettore MED/09 - Medicina InternaUrticariamedicine.medical_treatmentDermatologyCold urticariaimmune system diseasesparasitic diseasesmedicineHumansZafirlukastskin and connective tissue diseasesMontelukastAsthmaClinical Trials as TopicAspirinbusiness.industryAnti-Inflammatory Agents Non-SteroidalZileutonmedicine.diseaseDermatologyAntileukotrieneantileukotrieneantileukotrienes; urticariaHistamine H1 AntagonistsLeukotriene AntagonistsAntihistamineDrug Therapy CombinationFood Additivesbusinessmedicine.drugClinical and experimental dermatology
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Beneficial Effect of Foot Plantar Stimulation in Gait Parameters in Individuals with Parkinson’s Disease

2020

New treatments based on peripheral stimulation of the sensory-motor system have shown to be promising in rehabilitation strategies for patients with neurological disorders, including Parkinson's disease (PD), especially in regards to reducing gait impairment, and hence, the incidence of falls. The aim of this study was to evaluate the change in several gait parameters measured by sensor inertial measurement in PD patients after acute plantar stimulation, under the distal phalanx of the big toe, and underneath the head of the first metatarsal joint of both feet, using a 3D printing insole. In order to assess whether the effects are selective for PD patients, we compared the effect of the tre…

medicine.medical_specialtyParkinson's diseasemedicine.medical_treatmentSTRIDEStimulationArticlelcsh:RC321-571rehabilitation03 medical and health sciencesBasal (phylogenetics)0302 clinical medicinePhysical medicine and rehabilitationMedicine030212 general & internal medicinestride lengthlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryRehabilitationbusiness.industrymedical deviceGeneral Neuroscience3D printingmedicine.diseaseGaitComorbidityfootbusinesshuman activitiesadditive manufacturing030217 neurology & neurosurgeryFoot (unit)asymmetryBrain Sciences
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Testing the Dispersion of Nanoparticles in a Nanocomposite with an Ultra-Low Fill Content Using a Novel Non-Destructive Evaluation Technique

2022

A non-destructive evaluation (NDE) technique capable of testing the dispersion of nanoparticles in a nanocomposite would be of great use to the industry to check the quality of the products made and to ensure compliance with their specifications. Very few NDE techniques found in the literature can evaluate the level of dispersion of the nanoparticles in the whole nanocomposite. Here, a recently developed NDE technique based on pulsed phase thermography (PPT) in transmission mode was used to assess the particle dispersion in ultra-low, less than 0.05 wt%, Ag enriched polymeric based nanocomposite manufactured with an innovative nano-coating fragmentation technique. The phasegrams obtained wi…

metal nano-particlesIR-NDTTechnologyMicroscopyQC120-168.85Additives IR-NDT Metal nano-particles Nano-coating Nanocomposite NDE PPT Thermographic inspectionNDEnanocompositeTQH201-278.5AdditivesSettore ING-IND/16Engineering (General). Civil engineering (General)nanocomposite; NDE; thermographic inspection; IR-NDT; PPT; metal nano-particles; nano-coating; additivesPPTTK1-9971Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineDescriptive and experimental mechanicsthermographic inspectionGeneral Materials ScienceNano-coatingElectrical engineering. Electronics. Nuclear engineeringTA1-2040Materials
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Hybrid nanocomposites with ultra-low filling content by nano-coating fragmentation

2021

In the current study, a new technique for the manufacturing of polymer nanocomposites (PNCs) with ultra-low filling content (<0.05 wt%) is presented. Specifically, this method has been validated through the production of polypropylene (PP) nanocomposites with Ag nanoparticles. The presented method first consisted in a metal nano-film deposition on PP pellet substrates by a physical vapor deposition (PVD) sputtering equipment. Subsequently, a percentage of the coated pellet was mixed to uncoated ones via an injection molding machine to produce the PNC in a single step. Different mixing percentages of coated PP pellet to the uncoated ones were studied. As a result, the fragmentation of the…

metal nano-particlesNanocompositeMaterials sciencePolymers and PlasticsPolymer nanocompositeinjection moldingGeneral Chemical EngineeringPolymer nanocompositesSettore ING-IND/16engineering.materialnano-coatingSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineCoatingNano-Materials ChemistryengineeringadditivesFragmentation (cell biology)Composite materialPolymer-Plastics Technology and Materials
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Benson group additivity values of phosphines and phosphine oxides: Fast and accurate computational thermochemistry of organophosphorus species

2018

Composite quantum chemical methods W1X-1 and CBS-QB3 are used to calculate the gas phase standard enthalpy of formation, entropy, and heat capacity of 38 phosphines and phosphine oxides for which reliable experimental thermochemical information is limited or simply nonexistent. For alkyl phosphines and phosphine oxides, the W1X-1, and CBS-QB3 results are mutually consistent and in excellent agreement with available G3X values and empirical data. In the case of aryl-substituted species, different computational methods show more variation, with G3X enthalpies being furthest from experimental values. The calculated thermochemical data are subsequently used to determine Benson group additivity …

organophosphorus speciesEmpirical dataphosphine oxideslämpökemiaThermodynamics010402 general chemistry01 natural sciencesHeat capacitychemistry.chemical_compoundAdditive function0103 physical sciencesThermochemistrythermochemistryta116AlkylQuantum chemicalchemistry.chemical_classification010304 chemical physicsGeneral Chemistrylaskennallinen kemiaStandard enthalpy of formation0104 chemical sciencesComputational MathematicsphosphineschemistryPhosphineJournal of Computational Chemistry
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The role of different dispersing additives in the photo-oxidation behaviour of polyolefin-based OMMT nanocomposites

2010

polyolefin-based nanocompositesdispersing additivephoto-oxidation
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The pblm package: semiparametric regression for bivariate categorical responses in R

2014

We present an R package to fit semiparametric regression models for two categorical responses. It works for both nominal and ordered responses and several types of logits can be specified. Proportional, non-proportional and partial proportional odds models can be fitted, with marginal and association parameters estimated in a parametric or semiparametric way, via penalized maximum likelihood estimation. An application to show the potential of the package is carried out on a data set of Italian university students.

semiparametrically structured ordered modelpartial proportional-odds modelbivariate additive Dale modelstudents' performance
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