Search results for "pane"

showing 10 items of 1074 documents

CCDC 1049499: Experimental Crystal Structure Determination

2015

Related Article: Alina S. Dinca, Sergiu Shova, Adrian E. Ion, Catalin Maxim, Francesc Lloret, Miguel Julve, Marius Andruh|2015|Dalton Trans.|44|7148|doi:10.1039/C5DT00778J

Space GroupCrystallographyhexakis(mu2-22'-(Propane-13-diylbis(nitrilomethylylidene))bis(6-methoxyphenolato))-hexakis(mu2-acetato-OO')-hexakis(mu2-oxalato)-hexa-copper-hexa-dysprosium pentahydrateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1049932: Experimental Crystal Structure Determination

2015

Related Article: Alina S. Dinca, Sergiu Shova, Adrian E. Ion, Catalin Maxim, Francesc Lloret, Miguel Julve, Marius Andruh|2015|Dalton Trans.|44|7148|doi:10.1039/C5DT00778J

Space GroupCrystallographyhexakis(mu2-Acetato)-hexakis(mu2-oxalato)-hexakis(mu2-22'-(propane-13-diylbis(nitrilomethylylidene))bis(6-methoxyphenolato))-hexa-dysprosium-hexa-zinc methanol solvate hydrateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1909766: Experimental Crystal Structure Determination

2019

Related Article: A. Wane, A.B. Kama, M.B. Diop, L. Diop, L. Plasseraud, H. Cattey|2019|IUCrData|4|x190500|doi:10.1107/S2414314619005005

Space GroupCrystallographypropane-13-diaminium tetrakis(oxido)-molybdenumCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1966630: Experimental Crystal Structure Determination

2019

Related Article: Nikolaos Tsoureas, Akseli Mansikkamäki, Richard A. Layfield|2020|Chem.Commun.|56|944|doi:10.1039/C9CC09018E

Space GroupCrystallographytetrakis(2-methoxy-2-methylpropane)-sodium tris(2-methoxy-2-methylpropane)-tetrahydrofuran-sodium ((cyclobuta-13-diene-1234-tetrayl)tetrakis(trimethylsilane))-(3-[methyl(dimethyl)silyl]-124-tris(trimethylsilyl)cyclobut-2-en-1-yl)-tetrahydridoborato-uraniumCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 170382: Experimental Crystal Structure Determination

2002

Related Article: G.Haufe, T.C.Rosen, O.G.J.Meyer, R.Frohlich, K.Rissanen|2002|J.Fluorine Chem.|114|189|doi:10.1016/S0022-1139(02)00040-4

Space GroupCrystallographytrans-2-Fluoro-2-phenylcyclopropanecarboxamideCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 601429: Experimental Crystal Structure Determination

2006

Related Article: V.Mishra, F.Lloret, R.Mukherjee|2006|Inorg.Chim.Acta|359|4053|doi:10.1016/j.ica.2006.05.005

Space GroupCrystallographytrans-Diaqua-(13-bis(3-(2-pyridyl)pyrazol-1-yl)propane-NN'N''N''')-cobalt(ii) diperchlorateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Synthetic Haptens and Monoclonal Antibodies to the Cyanotoxin Anatoxin‐a

2019

Early warning systems for monitoring toxic events may benefit from the availability of monoclonal antibodies enabling the sensitive and specific detection of anatoxin-a, a cyanotoxin involved in numerous cases of animal poisoning resulting from toxic algal blooms in freshwaters. Through the synthesis of three functionalized derivatives of anatoxin-a, we have succeeded in generating the first-ever reported immunoreagents (bioconjugates and antibodies) suitable for the development of immunoanalytical approaches aimed at rapid and onsite detection of this harmful cyanotoxin.

Specific detectionmedicine.drug_classHarmful Algal BloomEnzyme-Linked Immunosorbent AssayAnimal poisoningBiology010402 general chemistryMonoclonal antibody01 natural sciencesAlgal bloomCatalysisAnatoxin-aMicrobiologychemistry.chemical_compoundmedicineAnimalsCyanobacteria Toxins010405 organic chemistryAntibodies MonoclonalSerum Albumin BovineStereoisomerismGeneral ChemistryCyanotoxin0104 chemical scienceschemistrybiology.proteinCattleAntibodyHaptensHaptenTropanesAngewandte Chemie International Edition
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Panel Conditioning or SOCRATIC EFFECT REVISITED: 99 Citations, but is there Theoretical Progress?

2020

In a paper published as early as 1987 by Jagodzinski, Kuhnel and Schmidt on attitude measurement in a three wave panel study, we established empirically a general orientation toward foreign employees in Western Germany called “Gastarbeiter”. These items have been continuously used from 1980 till now in the ALLBUS studies (Wasmer and Hochman 2019). In this paper, we have analyzed how the citation, explanation and modeling of the Socratic effect for explaining changes in panel data developed over time starting with the original paper of Jagodzinski et al. (1987). According to Google Scholar retrieved at 24.1.2019, 99 citations were found, which are all listed in the Online Supplementary. From…

SpecificationAutoregressive modelEconometricsSocratic methodVariance (accounting)CitationConfirmatory factor analysisSign (linguistics)Panel dataMathematics
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Imperfect information and consumer inflation expectations:evidence from microdata

2017

This paper explores which factors trigger an adjustment in consumers’ inflation expectations and looks at the implications regarding forecast errors. We find support for imperfect information models, as inflation volatility and news trigger an adjustment in expectations. Furthermore, we document that individual expectations become more accurate if they have been adjusted.

Statistics and ProbabilityMacroeconomicsEconomics and EconometricsUnvollkommene InformationRationalitätEconomics05 social sciencesPerfect informationWirtschaftswissenschaften0502 economics and businessEconomicsInflationserwartungPanel050207 economicsStatistics Probability and UncertaintyVolatility (finance)MikrodatenSocial Sciences (miscellaneous)/dk/atira/pure/core/keywords/557389186USA050205 econometrics
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Testing for hysteresis in unemployment in OECD countries. New evidence using stationarity panel tests with breaks†

2006

This paper tests hysteresis effects in unemployment using panel data for 19 Organization for Economic Co-operation and Development (OECD) countries covering the period 1956–2001. The tests exploit the cross-sectional variations of the series, and additionally, allow for a different number of endogenous breakpoints in the unemployment series. The critical values are simulated based on our specific panel sizes and time periods. The findings stress the importance of accounting for exogenous shocks in the series and support the natural-rate hypothesis of unemployment for the majority of the countries analysed.

Statistics and ProbabilityMacroeconomicsEconomics and Econometricsmedia_common.quotation_subjectjel:C23Oecd countriesjel:C22jel:J64Hysteresis (economics)UnemploymentEconomicsEconometricsStatistics Probability and UncertaintySocial Sciences (miscellaneous)media_commonPanel data
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