Search results for "Classification"

showing 10 items of 29475 documents

Poly[[tetramethanolbis[4-oxo-3-(pyridin-4-yl)-1-(2,4,6-trichlorophenyl)-4,5-dihydro-1H-pyrazolo[3,4-d]pyrimidin-6-olato]disodium]–diethyl ether–metha…

2016

In the title compound, [Na2(C16H7Cl3N5O2)2(CH3OH)4]·C4H10O·2CH3OH, the central pyrazolo[3,4-d]pyrimidine system makes dihedral angles of 82.98 (7)° with the trichlorophenyl ring and 13.11 (15)° with the pyridine ring. The sodium ion has an octahedral environment, being coordinated by four methanol molecules and one O and one N atom of two different heterocyclic ring systems.

pyridinecrystal structure246-trichlorophenylPyrimidineStereochemistryCrystal structureDihedral angle010403 inorganic & nuclear chemistryRing (chemistry)01 natural sciencesMedicinal chemistrychemistry.chemical_compoundPyridinelcsh:QD901-999sodiumbiology010405 organic chemistrypyrazolo[34-d]pyrimidin-6-olateGeneral Medicinebiology.organism_classification0104 chemical scienceschemistryTetralcsh:CrystallographyMethanolDiethyl etherIUCrData
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Halogen Bonds in 2,5-Dihalopyridine-Copper(I) Halide Coordination Polymers

2019

Two series of 2,5-dihalopyridine-Cu(I)A (A = I, Br) complexes based on 2-X-5-iodopyridine and 2-X-5-bromopyridine (X = F, Cl, Br and I) are characterized by using single-crystal X-ray diffraction analysis to examine the nature of C2&minus

pyridinedihalopyridineSupramolecular chemistrychemistry.chemical_elementHalidekupari010402 general chemistry01 natural scienceslcsh:TechnologyArticlechemistry.chemical_compoundkemialliset sidoksetPyridineGeneral Materials Sciencelcsh:Microscopypolymeeritlcsh:QC120-168.85chemistry.chemical_classificationHalogen bondlcsh:QH201-278.5010405 organic chemistrylcsh:TPolymerkompleksiyhdisteetCopper3. Good health0104 chemical sciencesCrystallographyhalopyridineschemistrylcsh:TA1-2040copperHalogenFluorinehalogeenisidoksetlcsh:Descriptive and experimental mechanicshalogen bondlcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971
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(2-Pyridyl)sulfonyl Groups for ortho -Directing Palladium- Catalyzed Carbon-Halogen Bond Formation at Functionalized Arenes

2017

International audience; We describe an efficient palladium-catalyzed selective C-H ortho-monohalogenation (X=I, Br, Cl, F) of various functionalized (2-pyridyl) aryl-sulfones. ortho-, meta-and para-functionalization is tolerated at the arene group which undergoes C-H halogenation. Some modifications are also possible on the 2-(arylsulfonyl) heteroaryl directing groups. A comparison of the halogenation efficiency suggests that bromination is the practical method of choice, while chlorination and fluorination are possible but more challenging. Under forcing conditions ortho-dihalogenation can also be achieved.

pyridyl sulfonechemistry.chemical_elementelectrophilic fluorinationolefinationphenols010402 general chemistry01 natural sciencesMedicinal chemistryCatalysis[ CHIM.ORGA ] Chemical Sciences/Organic chemistryarene C-H functionalizationhalogenationn-(2-pyridyl)sulfonyl groupOrganic chemistryacidsSulfonylchemistry.chemical_classificationortho-arylationHalogen bond010405 organic chemistryChemistry[CHIM.ORGA]Chemical Sciences/Organic chemistryHalogenationGeneral Chemistryindolespalladiumfluorination0104 chemical sciencesderivativesactivationCarbonprotecting groupPalladium
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Pyrolytic behavior of lignocellulosic-based polysaccharides

2018

The thermochemical behavior of cellulose, glucomannan, and xylan was investigated by pyrolysis–gas chromatographymass spectrometry (Py-GC/MS). In each case, major GC-amenable condensable products were classified into several compound groups, and the formation of these monomer-related fragments from the model substance samples was determined at 500, 600, and 700 C with a residence time of 5 s and 20 s. The results revealed that despite some general formation trends, no compound group was selectively formed at certain temperatures. Of the 11 product groups, the primary ones, including lactone, furan, and cyclopentenone derivatives, accounted for 72–85% (from cellulose), 86–90% (from glucomann…

pyrolysis–gas chromatographyselluloosaGlucomannan02 engineering and technologythermogravimetrykuivatislausPolysaccharidecondensable productspolysakkaridit01 natural sciencesxylanchemistry.chemical_compoundOrganic chemistryHemicellulosePhysical and Theoretical ChemistryCelluloseglucomannanchemistry.chemical_classificationksylaanitChemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsBiorefineryXylan010406 physical chemistry0104 chemical sciencesmannaanitkromatografia0210 nano-technologyEnergy sourcePyrolysis
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Aplidin® induces JNK-dependent apoptosis in human breast cancer cells via alteration of glutathione homeostasis, Rac1 GTPase activation, and MKP-1 ph…

2006

Aplidin® is an antitumor agent in phase II clinical trials that induces apoptosis through the sustained activation of Jun N-terminal kinase (JNK). We report that Aplidin® alters glutathione homeostasis increasing the ratio of oxidized to reduced forms (GSSG/GSH). Aplidin® generates reactive oxygen species and disrupts the mitochondrial membrane potential. Exogenous GSH inhibits these effects and also JNK activation and cell death. We found two mechanisms by which Aplidin® activates JNK: rapid activation of Rac1 small GTPase and downregulation of MKP-1 phosphatase. Rac1 activation was diminished by GSH and enhanced by L-buthionine (SR)-sulfoximine, which inhibits GSH synthesis. Downregulatio…

rac1 GTP-Binding ProteinProgrammed cell deathSmall interfering RNAGlutathione reductaseDown-RegulationAntineoplastic AgentsApoptosisBreast NeoplasmsCell Cycle ProteinsBiologyPeptides CyclicImmediate-Early ProteinsMembrane Potentialschemistry.chemical_compoundMiceDownregulation and upregulationDepsipeptidesProtein Phosphatase 1Phosphoprotein PhosphatasesAnimalsHomeostasisHumansMolecular Biologychemistry.chemical_classificationReactive oxygen speciesGlutathione PeroxidaseGlutathione DisulfideJNK Mitogen-Activated Protein KinasesProtein phosphatase 1Dual Specificity Phosphatase 1Cell BiologyGlutathioneCell biologyEnzyme ActivationOxidative StressGlutathione ReductasechemistryMitochondrial MembranesGlutathione disulfideCalciumProtein Tyrosine PhosphatasesReactive Oxygen SpeciesCopperHeLa CellsCell Death and Differentiation
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Physical inactivity increases oxidative stress, endothelial dysfunction, and atherosclerosis.

2005

Objective— Sedentary lifestyle is associated with increased cardiovascular events. The underlying molecular mechanisms are incompletely understood. Reactive oxygen species (ROS) contribute to endothelial dysfunction and atherosclerosis. An important source of vascular ROS is the NADPH oxidase. Methods and Results— C57BL6 mice were subjected to regular housing (physical inactivity) or voluntary training on running wheels (6 weeks). Inactivity increased vascular lipid peroxidation to 148±9% and upregulated superoxide release to 176±17% (L-012 chemiluminescence) and 188±29% (cytochrome C reduction assay), respectively. ROS production was predominantly increased in the endothelium and the medi…

rac1 GTP-Binding Proteinmedicine.medical_specialtyEndotheliumNitric Oxide Synthase Type IIIArteriosclerosisNitric Oxide Synthase Type IIBiologymedicine.disease_causechemistry.chemical_compoundMiceApolipoproteins EInternal medicinePhysical Conditioning AnimalmedicineAnimalsNADH NADPH OxidoreductasesRNA MessengerEndothelial dysfunctionLife Stylechemistry.chemical_classificationReactive oxygen speciesNADPH oxidaseSuperoxideNeuropeptidesNADPH Oxidase 1NADPH Oxidasesmedicine.diseasePhosphoproteinsMice Mutant Strainsrac GTP-Binding ProteinsMice Inbred C57BLVasodilationOxidative Stressmedicine.anatomical_structureEndocrinologychemistryNOX1biology.proteinNADPH Oxidase 1Endothelium VascularNitric Oxide SynthaseCardiology and Cardiovascular MedicineReactive Oxygen SpeciesOxidative stressArteriosclerosis, thrombosis, and vascular biology
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Application of selected supervised classification methods to bank marketing campaign

2016

Supervised classification covers a number of data mining methods based on training data. These methods have been successfully applied to solve multi-criteria complex classification problems in many domains, including economical issues. In this paper we discuss features of some supervised classification methods based on decision trees and apply them to the direct marketing campaigns data of a Portuguese banking institution. We discuss and compare the following classification methods: decision trees, bagging, boosting, and random forests. A classification problem in our approach is defined in a scenario where a bank’s clients make decisions about the activation of their deposits. The obtained…

random forestsr projectclassificationdecision treesboostingdata miningbank marketingbaggingsupervised learningInformation Systems in Management = Systemy Informatyczne w Zarządzaniu
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Enterobacter cloacae administration induces hepatic damage and subcutaneous fat accumulation in high-fat diet fed mice.

2018

Accumulating evidence indicates that gut microbiota plays a significant role in obesity, insulin resistance and associated liver disorders. Family Enterobacteriaceae and especially Enterobacter cloacae strain B29 have been previously linked to obesity and hepatic damage. The underlying mechanisms, however, remain unclear. Therefore, we comprehensively examined the effects of E. cloacae subsp. cloacae (ATCC® 13047™) administration on host metabolism of mice fed with high-fat diet (HFD). C57BL/6N mice were randomly divided into HFD control, chow control, and E. cloacae treatment groups. The E. cloacae treatment group received live bacterial cells in PBS intragastrically twice a week, every ot…

rasvahapotPathology and Laboratory Medicinerasvat (orgaaniset yhdisteet)ruokavaliotBiochemistryMiceAnimal CellsFibrosislcsh:ScienceImmune ResponseConnective Tissue CellsChemical Reactionsta3141ta3142Lipids3. Good healthPhysical sciencesAdiponectinCellular Typesmedicine.medical_specialtyfatsLipolysisImmunologySubcutaneous FatrasvakudoksetMonomers (Chemistry)glycerolDiet High-Fatta311103 medical and health sciencesSigns and SymptomsEnterobacter cloacaeLipolysisPolymer chemistrylcsh:RBiology and Life SciencesHypertrophymedicine.diseaseReceptor InsulinMice Inbred C57BLBiological Tissue030104 developmental biologyEndocrinologylihavuuslcsh:QGlycerol0301 basic medicinePhysiologyLiver cytologysuolistomikrobistolcsh:MedicineAdipose tissueGut floraMedicine and Health SciencesAdipocytesenterobakteerit2. Zero hungerrasvatMultidisciplinarygastrointestinal microbiotatulehdusbiologyHydrolysisadipose tissueChemistryPhysiological ParametersLiverConnective Tissueembryonic structuresFemaleAnatomymedicine.symptomResearch Articleanimal structuresadipocytesInflammationInsulin resistanceEnterobacteriaceaeDiagnostic MedicineInternal medicinemedicineAnimalsObesityTriglyceridesNutritionurogenital systembusiness.industryBody WeightCell Biologybiology.organism_classificationDietToll-Like Receptor 5Gene Expression RegulationinflammationlipolysisdietbusinessEnterobacter cloacaePLoS ONE
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The manipulation of Euribor: An analysis with machine learning classification techniques

2022

The manipulation of the Euro Interbank Offered Rate (Euribor) was an affair which had a great impact on in ternational financial markets. This study tests whether advanced data processing techniques are capable of classifying Euribor panel banks as either manipulating or non-manipulating on the basis of patterns found in quotes submissions. For this purpose, panel banks’ daily contributions have been studied and monthly variables obtained that denote different contribution patterns for Euribor panel banks. Thus, in accordance with the court verdict, banks are categorized as manipulating and non-manipulating and Machine Learning classification techniques such as Supervised Learning, Anomaly …

rate-fixingmachine learningeuriborclassificationmanipulationManagement of Technology and InnovationUNESCO::CIENCIAS ECONÓMICAScollusionBusiness and International ManagementApplied Psychologypanel bankTechnological Forecasting and Social Change
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Fatty acid composition as biomarkers of freshwater microalgae: analysis of 37 strains of microalgae in 22 genera and in seven classes

2013

The fatty acid (FA) composition of algae is an important determinant of their food quality for consumers, and FAs can also be used as biomarkers for biochemical and energetic pathways in food webs. FA analyses of 7 freshwater algal classes and 37 strains showed clear similarity within classes and strong differences amongst classes. Class was a dominant factor (66.4%) explaining variation in FA signatures of microalgae. The 7 algal classes comprised 4 separate groups according to their FA profiles: (1) Chlorophyceae and Trebouxiophyceae, (2) Bacillariophyceae, (3) Cryptophyceae, Chrysophyceae, and Raphidophyceae, and (4) Euglenophyceae. Each group had a characteristic FA composition, althoug…

ravinnonlaatuChlorophyceaeomega-3 rasvahapotAquatic SciencelipiditZooplanktonAlgaeviherlevätBotanyOmega-3 fatty acidspiilevätLacustrine food webjärviravintoketjuEcology Evolution Behavior and Systematicsnielulevätchemistry.chemical_classificationbiologyTrebouxiophyceaeta1182Fatty acidbiology.organism_classificationFood webchemistryDocosahexaenoic acidCryptomonadsta1181Green algaeDiet quality
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