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7篇 您的检索式:作者名="Longo Monica"
    题名 作者 年代 出处 被引量
1Characterization and electrochemical performance of CeO2 and Eu-doped CeO2 films as a manganese redox flow battery component显示文摘Hexagonal CeO_2 and Eu-doped CeO_2 nanoparticles were obtained using a facile microwave-hydro thermal method under mild conditions and their application towards manganese redox flow battery component were studied. The structural properties were studied by X-ray diffraction and indicate that samples present a fluorite structure. Raman spectroscopy shows Eu3+ ions substitute Ce^(4+) and generate oxygen vacancies. Electrochemical properties of pure and Eu-doped CeO_2 films deposited at graphite substrates investigated by cyclic voltammetry and galvanostatic charge—discharge indicate that dopant concentration affects the electrochemical properties of CeO_2. The increase in the reversibility redox of electrochemical systems observed is attributed to coexistence of Ce^(4+)/Ce^(3+) redox couple confirmed by XPS.Charge—discharge tests display coulombic and voltage efficiency values of above 80% and 90%, respectively. The obtained specific capacity for Ce_(0.99)Eu_(0.01)O_2(372.49 mAh/g) and pure oxide(334.84 mAh/g)indicates that both samples are promising for application in Mn-batteries.Monica A.Rodrigues Ariadne C.Catto Elson Longo Edson Nossol Renata C.Lima 2018Journal of Rare Earths2018,36,10:2
2Anticoagulant pseudothrombocytopenia with platet satellitism 显示文摘Monica Morselli Giuseppe Longo Goretta Bonacorsi 1999Haematologica1999,84,:1
3L-Arginine Supplementation in Patients with Gestational Hypertension: A Pilot Study显示文摘Fabio Facchinetti George R. Saade Isabella Neri Cristina Pizzi Monica Longo Annibale Volpe 2007Hypertension in Pregnancy2007,,1:1
4Repro- ductive toxicity of cabergoline in mice, rats, and rab- bits 显示文摘Beltrame Diana Longo Monica Mazue Guy 1996Reproductive Toxicology1996,10,06:1
5Role of hormone receptor expression in patients with advanced-stage lung cancer treated with chemotherapy 显示文摘Monica V Longo M Felice B 2012Clin Lung Cancer2012,13,6:1
6Role of hormone receptor expression in patients with advanced-stage lung cancer treated with chemotherapy显示文摘Monica V Longo M Felice B 2012Clin Lung Cancer2012,13,6:1
7Pilot Study on the Intercalibration of a Categorisation System for FAlRer Digital Objects Related to Sensitive Data in the Life Sciences显示文摘Sharing sensitive data is a specific challenge for research infrastructures in the field of life sciences.For that reason a toolbox has been developed,providing resources for researchers who wish to share and use sensitive data,to support the workflows for handling these kinds of digital objects.Common and community approved annotations are required to be compliant with FAIR principles(Findability,Accessibility,Interoperability,Reusability).The toolbox makes use of a tagging(categorisation)system,allowing consistent labelling and categorisation of digital objects,in terms relevant to data sharing tasks and activities.A pilot study was performed within the Horizon 2020 project EOSC-Life,in which 2 experts from 6 life sciences research infrastructures were recruited to independently assign tags to the same set of 10 to 25 resources related to sensitive data management and data sharing(in total 110).Summary statistics of agreement and observer variation per research infrastructure are provided.The pilot study has shown that experts were able to attribute tags but in most cases with a considerable observer variation between experts.In the context of CWFR(Canonical Workflow Frameworks for Research),this indicates the necessity for careful definition,evaluation and validation of parameters and processes related to workflow descriptions.The results from this pilot study were used to tackle this issue by revising the categorisation system and providing an updated version.Christian Ohmann Romain David Monica Cano Abadia Florence Bietrix Jan-Willem Boiten Steve Canham Maria Luisa Chiusano Walter Dastru Arnaud Laroquette Dario Longo Michaela Theresia Mayrhofer Maria Panagiotopoulou Audrey Richard Pablo Emilio Verde 2022Data Intelligence2022,4,2:0
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