Search results for "(E)-2"

showing 10 items of 959 documents

CCDC 915316: Experimental Crystal Structure Determination

2013

Related Article: S. Cardona-Serra, J. M. Clemente-Juan, E. Coronado, C. Marti-Gastaldo, E. Navarro-Moratalla|2013|Eur.J.Inorg.Chem.||1903|doi:10.1002/ejic.201201390

bis(mu~3~-pyridine-26-diyldimethanolato)-tetrakis(mu~2~-pyridine-26-diyldimethanolato)-bis(mu~2~-acetato)-tetra-manganese (mu~6~-oxo)-dodecakis(mu~2~-oxo)-hexaoxo-hexa-molybdenum dihydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1989537: Experimental Crystal Structure Determination

2021

Related Article: Florian Reichenauer, Cui Wang, Christoph Förster, Pit Boden, Naz Ugur, Ricardo Báez-Cruz, Jens Kalmbach, Luca M. Carrella, Eva Rentschler, Charusheela Ramanan, Gereon Niedner-Schatteburg, Markus Gerhards, Michael Seitz, Ute Resch-Genger, Katja Heinze|2021|J.Am.Chem.Soc.|143|11843|doi:10.1021/jacs.1c05971

bis{22'-[(pyridine-26-diyl)bis(methylene)]bis(pyridine)}-chromium(iii) tris(trifluoromethanesulfonate) ethanol solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Temporal Fairness Provisioning in Multi-Rate Contention-Based 802.11e WLANs

2005

The IEEE 802.11e extensions for QoS support in WLAN define the transmission opportunity (TXOP) concept, in order to limit the channel holding times of the contending stations in the presence of delay-sensitive traffic. We evaluate the use of TXOP for a different purpose: "temporal fairness" provisioning among stations employing different data rates. We show that the equalization of the channel access times allows each station to obtain its throughput basically (1) proportional to its transmission rate, and (2) independent of the transmitted frame length. This also improves the aggregate throughput of the overall WLAN. For a given TXOP limit, i.e., a granted channel access time, a station is…

business.industryComputer scienceQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingFrame (networking)ComputingMilieux_PERSONALCOMPUTINGWireless local area networks (WLAN)ProvisioningThroughputThroughputIEEE 802.11e-2005Limit (mathematics)businessadaptation schemeAccess timeCommunication channelComputer networkSixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks
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F.A.L.C.A.D.E.: a fuzzy software for the energy and environmental balances of products

2004

Abstract It is generally well known that the reliability of Life Cycle Analysis (LCA) studies depends upon exact, complete and sharp input data that, unfortunately, are not always available. Furthermore, when available, the input data are affected by uncertainty whose importance is not always adequately taken into consideration. This paper describes the software F.A.L.C.A.D.E. (Fuzzy Approach to Life Cycle Analysis and Decision Environment): a tool designed for the calculation of the eco-profile of products, based on a fuzzy logic approach. The originality of the method already treated in other papers is to use the fuzzy representation to manage the complex relationships that arise in compi…

business.industryEcological ModelingLinear modelType-2 fuzzy sets and systemscomputer.software_genreDefuzzificationFuzzy logicSet (abstract data type)SoftwareFuzzy numberFuzzy set operationsData miningbusinessAlgorithmcomputerMathematicsEcological Modelling
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Protective potential of glucagon like peptide 2 (GLP-2) against the neurodegeneration

2019

Neurodegeneration consists in loss of neuron specific types, pattern and distribution, leading to progressive dysfunctions of the central nervous system. Neurodegenerative diseases include diverse pathological conditions, among which Alzheimer’s and Parkinson’s diseases are the most prevalent ones. Alzheimer’s disease is known as a growing dementia, characterized by progressive language, memory, and cognitive loss, while Parkinson’s disease is primarily characterized as a motor disorder. Senile plaques, caused by amyloid β peptide, hyperphosphorylated tau-based neurofibrillary tangles and synapse loss, are the principal pathological hallmarks of Alzheimer’s disease. Amyloid β oligomer forma…

business.industryNeurodegenerationPharmacologymedicine.diseaseGlucagon-like peptide-2Settore BIO/09 - Fisiologialcsh:RC346-429neuroinflammationGlucagon like peptide 2 (GLP-2)neurodegenerative diseaseDevelopmental NeurosciencePerspectivemedicineoxidative stressbusinesslcsh:Neurology. Diseases of the nervous system
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European Panel on Low Density Lipoprotein (LDL) Subclasses: A Statement on the Pathophysiology, Atherogenicity and Clinical Significance of LDL Subcl…

2011

Item does not contain fulltext Aim of the present Consensus Statement is to provide a comprehensive and up to-date document on the pathophysiology, atherogenicity and clinical significance of low density liproproteins (LDL) subclasses. We sub-divided our statement in 2 sections. section I discusses the pathophysiology, atherogenicity and measurement issues, while section II is focused on the effects of drug and lifestyle modifications. Suggestions for future research in the field are highlighted at the end of section II. Each section includes Conclusions.

cardiovascular riskischemic-heart-diseaseHealth aging / healthy living [IGMD 5]coronary-artery-diseaseapolipoprotein-b metabolismcholesteryl ester transferAtherosclerosisstatementfamilial combined hyperlipidemialdlLipoproteins LDLvery-low-densitynuclear-magnetic-resonancec-reactive proteinRisk FactorsAnimalsHumansGenetic Predisposition to DiseaseLDL subclasses atherosclerosis cardiovascular risk statementsubclassesatherosclerosistype-2 diabetes-mellitusintima-media thickness
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CCDC 1054374: Experimental Crystal Structure Determination

2015

Related Article: Alexandre Abhervé, Samuel Mañas-Valero, Miguel Clemente-León, Eugenio Coronado|2015|Chemical Science|6|4665|doi:10.1039/C5SC00957J

catena-((415-Dimethyl-581114-tetra-azaoctadeca-241416-tetraene-217-diolato)-gallium(iii) tris(mu2-36-dibromo-25-dioxy-14-benzoquinone)-chromium(iii)-manganese(ii) acetonitrile solvate)Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 231515: Experimental Crystal Structure Determination

2005

Related Article: C.Ruiz-Perez, P.Lorenzo-Luis, M.Hernandez-Molina, M.M.Laz, F.S.Delgado, P.Gili, M.Julve|2004|Eur.J.Inorg.Chem.||3873|doi:10.1002/ejic.200400217

catena-((mu~3~-1-carboxybenzene-245-tricarboxlyato)-(44'-bipyridinium)-diaqua-manganese(ii))Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 171935: Experimental Crystal Structure Determination

2001

Related Article: M.J.Plater, M.R.St.J.Foreman, R.A.Howie, J.M.S.Skakle, E.Coronado, C.J.Gomez-Garcia, T.Gelbrich, M.B.Hursthouse|2001|Inorg.Chim.Acta|319|159|doi:10.1016/S0020-1693(01)00449-2

catena-((mu~3~-Benzene-13-dicarboxylato-5-carboxylic acid)-aqua-(pyridine-2-(1-methyl-4-nitro-5-t-butyl-1H-pyrazol-3-yl))-cobalt(ii))Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 266218: Experimental Crystal Structure Determination

2005

Related Article: F.Bonadio, M.-C.Senna, J.Ensling, A.Sieber, A.Neels, H.Stoeckli-Evans, S.Decurtins|2005|Inorg.Chem.|44|969|doi:10.1021/ic049209u

catena-(bis(mu~2~-Cyano)-dicyano-(213-dimethyl-312-diaza-69-dioxa-1(26)-pyridinacyclotridecaphane-212-diene)-manganese(ii)-palladium(ii))Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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