Search results for "Susceptibility"

showing 10 items of 912 documents

Influence of Copper(II) and Nickel(II) Ions in the Topology of Systems Based on a Flexible Bis-Oxamate and Bipyridine Building Blocks

2014

Single crystals of the mononuclear bis-oxamate nickel(II) complex [Ni(bipy)(H2edpba)]·dmso (1) are obtained by reacting [Ni(bipy)Cl2]·H2O and the flexible K2(H2edpba) ligand [bipy = 2,2′-bipyridine; H4edpba = N,N′-2,2′-ethylenediphenylenebis(oxamic acid)]. The reaction of 1 with copper(II) ions resulted in two products in which the replacement of the nickel(II) ion by copper(II) took place: the chain compound [Cu(bipy)(H2edpba)]n·3nH2O·ndmso [dmso = dimethyl sulfoxide] (2) and the analogous chain compound without dmso crystallization molecules [Cu(bipy)(H2edpba)]n·1.5nH2O (3a) in its polycrystalline form. The reaction of [Cu(bipy)Cl2] and K2(H2edpba) yielded single crystals of [Cu(bipy)(H2e…

Dimethyl sulfoxideInorganic chemistrychemistry.chemical_elementGeneral ChemistryCondensed Matter PhysicsCopperMagnetic susceptibilitylaw.inventionBipyridinechemistry.chemical_compoundCrystallographyNickelchemistrylawAlkane stereochemistryMoleculeGeneral Materials ScienceCrystallizationCrystal Growth & Design
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A polymeric two-dimensional mixed-metal network. Crystal structure and magnetic properties of {[P(Ph)4][MnCr(ox)3]}

1994

Abstract The mixed-metal ferromagnet {[P(Ph) 4 ][MnCr(ox) 3 ]} n , where Ph is phenyl and ox is oxalate, has been prepared and a two-dimensional network structure, extended by Mn(II)-ox-Cr(III) bridges, has been determined from single crystal X-ray data. Crystal data: space group R 3 c , a = b =18.783(3), c =57.283(24) A, α=β=90, γ=120°, Z =24 (C 30 H 20 O 12 PCrMn). The magnetic susceptibility data obey the Curie-Weiss law in the temperature range 260–20 K with a positive Weiss constant of 10.5 K. The temperature dependence of the molar magnetization exhibits a magnetic phase transition at T c =5.9 K. The structure is discussed in relation to the strategy for preparing molecular based ferr…

Dinuclear complexesChemistryStereochemistryMagnetismMagnetismCrystal structureAtmospheric temperature rangeMagnetic susceptibilityInorganic ChemistryMagnetizationCrystallographyChromium complexesFerromagnetismddc:540Crystal structuresX-ray crystallographyMaterials ChemistryPhysical and Theoretical ChemistrySingle crystalManganese complexesInorganica Chimica Acta
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Valor de la testosterona en saliva en el diagnóstico de la enfermedad de Alzheimer

2019

Disease susceptibilitySalivaInsulin resistancebusiness.industrymedicinePhysiologyTestosterone (patch)General MedicineDiseasemedicine.diseasebusinessProspective cohort studyMedicina Clínica
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Can NF-κB Be Considered a Valid Drug Target in Neoplastic Diseases? Our Point of View

2020

Multidrug resistance (MDR), of the innate and acquired types, is one of major problems in treating tumor diseases with a good chance of success. In this review, we examine the key role of nuclear factor-kappa B (NF-κB) to induce MDR in three tumor models characterized precisely by innate or acquired MDR, in particular triple negative breast cancer (TNBC), hepatocellular carcinoma (HCC), and acute myeloid leukemia (AML). We also present different pharmacological approaches that our group have employed to reduce the expression/activation of this transcriptional factor and thus to restore chemo-sensitivity. Finally, we examine the latest scientific evidence found by other groups, the most sign…

Drug targetAntineoplastic AgentsReviewCatalysisNF-κBdrug targetlcsh:ChemistryInorganic Chemistrychemistry.chemical_compoundNeoplasmsMDRmedicineBiomarkers TumorcancerAnimalsHumansMolecular Targeted TherapyPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologySpectroscopyTriple-negative breast cancerbusiness.industryOrganic ChemistryNF-kappa BCancerMyeloid leukemiaNF-κBGeneral Medicinemedicine.diseaseComputer Science ApplicationsMultiple drug resistanceClinical trialCell Transformation Neoplasticlcsh:Biology (General)lcsh:QD1-999chemistryDrug Resistance NeoplasmHepatocellular carcinomaCancer researchSettore BIO/14 - FarmacologiaDisease SusceptibilitybusinessInternational Journal of Molecular Sciences
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Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north-easte…

2016

This study aims at evaluating the performance of the Maximum Entropy method in assessing landslide susceptibility, exploiting topographic and multispectral remote sensing predictors. We selected the catchment of the Giampilieri stream, which is located in the north-eastern sector of Sicily (southern Italy), as test site. On 1 October 2009, a storm rainfall triggered in this area hundreds of debris flow/avalanche phenomena causing extensive economical damage and loss of life. Within this area a presence-only-based statistical method was applied to obtain susceptibility models capable of distinguishing future activation sites of debris flow and debris slide, which where the main source of fai…

Earth-Surface ProcesseGeography Planning and DevelopmentEarth and Planetary Sciences (miscellaneous)triggering mechanism predictionMaxEntLandslide susceptibilityASTER
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The Li Ni0.2Mn0.2Co0.6O2 electrode materials: A structural and magnetic study

2012

Graphical abstract: EPR signal of the Li{sub 0.6}Co{sub 0.6}Ni{sub 0.2}Mn{sub 0.2}O{sub 2} composition showing that Mn{sup 4+} ions are the solely paramagnetic ions in the structure. Highlights: Black-Right-Pointing-Pointer LiCo{sub 0.6}Ni{sub 0.2}Mn{sub 0.2}O{sub 2} was prepared by the combustion method with sucrose as a fuel. Black-Right-Pointing-Pointer Chemical delithiaition was performed by using NO{sub 2}BF{sub 4} oxidizing agent. Black-Right-Pointing-Pointer The rhombohedral symmetry was preserved upon lithium removal. Black-Right-Pointing-Pointer Lithium extraction leads to Ni{sup 2+} oxidation to Ni{sup 4+} followed by Co{sup 3+} oxidation. Black-Right-Pointing-Pointer The EPR narr…

Electrode materialMaterials scienceMechanical EngineeringAnalytical chemistrychemistry.chemical_elementCondensed Matter PhysicsMagnetic susceptibilityIonlaw.inventionParamagnetismchemistryMechanics of MaterialslawPhase (matter)General Materials ScienceLithiumElectron paramagnetic resonanceSolid solutionMaterials Research Bulletin
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Carbonyl Back-Bonding Influencing the Rate of Quantum Tunnelling in a Dysprosium Metallocene Single-Molecule Magnet.

2019

The isocarbonyl-ligated metallocene coordination polymers [Cp*2M(μ-OC)W(Cp)(CO)(μ-CO)]∞ were synthesized with M = Gd (1, L = THF) and Dy (2, no L). In a zero direct-current field, the dysprosium version 2 was found to be a single-molecule magnet (SMM), with analysis of the dynamic magnetic susceptibility data revealing that the axial metallocene coordination environment leads to a large anisotropy barrier of 557(18) cm–1 and a fast quantum-tunnelling rate of ∼3.7 ms. Theoretical analysis of two truncated versions of 2, [Cp*2Dy{(μ-OC)W(Cp)(CO)2}2]− (2a), and [Cp*2Dy(OC)2]+ (2b), in which the effects of electron correlation outside the 4f orbital space were studied, revealed that tungsten-to-…

Electronic correlation010405 organic chemistrymolecular magnetismchemistry.chemical_element010402 general chemistry01 natural sciencesMagnetic susceptibility0104 chemical sciencesInorganic Chemistrychemistry.chemical_compoundchemistryMagnetDysprosiumPhysical chemistrySingle-molecule magnetPhysical and Theoretical Chemistrysingle-molecule magnetsMetalloceneQuantum tunnellingPi backbondingInorganic chemistry
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A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility.

2020

Land subsidence (LS) is a significant problem that can cause loss of life, damage property, and disrupt local economies. The Semnan Plain is an important part of Iran, where LS is a major problem for sustainable development and management. The plain represents the changes occurring in 40% of the country. We introduce a novel-ensemble intelligence approach (called ANN-bagging) that uses bagging as a meta- or ensemble-classifier of an artificial neural network (ANN) to predict LS spatially on the Semnan Plain in Semnan Province, Iran. The ensemble model's goodness-of-fit (to training data) and prediction accuracy (of the validation data) are compared to benchmarks set by ANN-bagging. A total …

Environmental Engineering010504 meteorology & atmospheric sciencesArtificial neural networkEnsemble forecastingElevationComputational intelligenceK-fold cross-validation (CV)Land cover010501 environmental sciences01 natural sciencesPollutionRandom forestSemnan PlainStatisticsDrawdown (hydrology)Land-subsidence susceptibilityEnvironmental ChemistryEnsemble methodWaste Management and DisposalGroundwaterEnvironmental Sciences0105 earth and related environmental sciencesMathematics
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Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

2019

Assessing the performance of GIS- based machine learning models withdifferent accuracy measures for determining susceptibility togully erosionYounes Garosia, Mohsen Sheklabadia,⁎, Christian Conoscentib, Hamid Reza Pourghasemic,d, Kristof Van Ooste,faFaculty of Agriculture, Department of Soil Science, Bu Ali Sina University, Ahmadi Roshan Avenue, 6517838695 Hamedan, IranbDepartment of Earth and Sea Sciences (DISTEM), University of Palermo, Via Archirafi22, 90123 Palermo, ItalycCollege of Marine Sciences and Engineering, Nanjing Normal University, Nanjing, 210023, ChinadDepartment of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, IraneA- Fo…

Environmental Engineering010504 meteorology & atmospheric sciencesMean squared errorSettore GEO/04 - Geografia Fisica E Geomorfologia010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesNormalized Difference Vegetation IndexCohen's kappaMachine learning modelDiscriminationEnvironmental ChemistryGully erosion susceptibilityDigital elevation modelWaste Management and DisposalLatin hypercube sampling technique (cLHS)0105 earth and related environmental sciencesMathematicsReceiver operating characteristicbusiness.industryTopographic attributeGeneralized additive modelReliabilityPollutionRandom forestSupport vector machineArtificial intelligencebusinesscomputer
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Technogenic Magnetic Particles in Alkaline Dusts from Power and Cement Plants

2012

During this study, we investigated the mineralogical characterization of technogenic magnetic particles (TMPs) contained in alkaline industrial dust and fly ash emitted by coal burning power plants and cement plants. The reaction of tested dust samples varied between values of pH 8 and pH 12. Their magnetic properties were characterized by measurement of magnetic susceptibility (χ), frequency dependence of magnetic susceptibility (χ(fd)), and temperature dependence of magnetic susceptibility. Mineralogical and geochemical analyses included scanning electron microscopy with energy dispersive spectroscopy, microprobe analysis and X-ray diffraction. The TMPs in fly ash from hard coal combustio…

Environmental EngineeringMaghemiteengineering.materialcomplex mixturesArticleMagnetic susceptibilityMagnesioferritechemistry.chemical_compoundEnvironmental ChemistryWater Science and TechnologyMagnetiteCementEcological ModelingMetallurgyTechnogenic magnetic particlesHematiteequipment and suppliesPollutionMagnetic susceptibilityEcological Modellingchemistryvisual_artFly ashengineeringvisual_art.visual_art_mediumAlkaline dustsMagnetic nanoparticlesIron mineralogyhuman activitiesWater, Air, & Soil Pollution
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