1 resultado para SCHEDULES
em Bucknell University Digital Commons - Pensilvania - USA
Filtro por publicador
- Academic Research Repository at Institute of Developing Economies (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Archive of European Integration (3)
- Aston University Research Archive (20)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (12)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- Bioline International (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (30)
- Brock University, Canada (8)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CentAUR: Central Archive University of Reading - UK (15)
- Central European University - Research Support Scheme (1)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (3)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (34)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- CUNY Academic Works (34)
- Dalarna University College Electronic Archive (4)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (5)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (12)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (9)
- DigitalCommons@University of Nebraska - Lincoln (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (37)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (1)
- Harvard University (4)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Instituto Politécnico de Santarém (1)
- Instituto Politécnico do Porto, Portugal (22)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (103)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (4)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (6)
- Nottingham eTheses (18)
- Open University Netherlands (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (6)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (5)
- Repositório da Produção Científica e Intelectual da Unicamp (3)
- Repositorio de la Universidad de Cuenca (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (8)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (69)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (48)
- South Carolina State Documents Depository (3)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (4)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (16)
- Universidad Politécnica de Madrid (19)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade de Madeira (1)
- Universidade do Minho (8)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (9)
- Universidade Federal do Rio Grande do Norte (UFRN) (15)
- Universidade Metodista de São Paulo (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (46)
- Université de Montréal (1)
- Université de Montréal, Canada (14)
- University of Connecticut - USA (3)
- University of Michigan (38)
- University of Queensland eSpace - Australia (13)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (3)
Resumo:
Recently, we have demonstrated that considerable inherent sensitivity gains are attained in MAS NMR spectra acquired by nonuniform sampling (NUS) and introduced maximum entropy interpolation (MINT) processing that assures the linearity of transformation between the time and frequency domains. In this report, we examine the utility of the NUS/MINT approach in multidimensional datasets possessing high dynamic range, such as homonuclear C-13-C-13 correlation spectra. We demonstrate on model compounds and on 1-73-(U-C-13,N-15)/74-108-(U-N-15) E. coli thioredoxin reassembly, that with appropriately constructed 50 % NUS schedules inherent sensitivity gains of 1.7-2.1-fold are readily reached in such datasets. We show that both linearity and line width are retained under these experimental conditions throughout the entire dynamic range of the signals. Furthermore, we demonstrate that the reproducibility of the peak intensities is excellent in the NUS/MINT approach when experiments are repeated multiple times and identical experimental and processing conditions are employed. Finally, we discuss the principles for design and implementation of random exponentially biased NUS sampling schedules for homonuclear C-13-C-13 MAS correlation experiments that yield high-quality artifact-free datasets.