16 resultados para Botanical Gardens
Filtro por publicador
- Adam Mickiewicz University Repository (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (2)
- Applied Math and Science Education Repository - Washington - USA (15)
- Aquatic Commons (12)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (16)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (13)
- Biblioteca Valenciana Digital - Ministerio de Educación, Cultura y Deporte - Valencia - Espanha (1)
- Biodiversity Heritage Library, United States (27)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (7)
- Brock University, Canada (13)
- Cambridge University Engineering Department Publications Database (2)
- CentAUR: Central Archive University of Reading - UK (86)
- Center for Jewish History Digital Collections (2)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (98)
- Cochin University of Science & Technology (CUSAT), India (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Archives@Colby (2)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (6)
- Digital Repository at Iowa State University (5)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (3)
- DRUM (Digital Repository at the University of Maryland) (1)
- Ecology and Society (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (17)
- Greenwich Academic Literature Archive - UK (1)
- Harvard University (3)
- Helda - Digital Repository of University of Helsinki (15)
- Indian Institute of Science - Bangalore - Índia (8)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (3)
- Ministerio de Cultura, Spain (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (8)
- Publishing Network for Geoscientific & Environmental Data (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (25)
- Queensland University of Technology - ePrints Archive (139)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (3)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (22)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (4)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (38)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (9)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (279)
- University of Queensland eSpace - Australia (3)
- University of Southampton, United Kingdom (1)
- USA Library of Congress (2)
Resumo:
This paper describes a new module of the expert system SISTEMAT used for the prediction of the skeletons of neolignans by (13)C NMR, (1)H NMR and botanical data obtained from the literature. SISTEMAT is composed of MACRONO, SISCONST, C13MACH, H1MACH and SISOCBOT programs, each analyzing data of the neolignan in question to predict the carbon skeleton of the compound. From these results, the global probability is computed and the most probable skeleton predicted. SISTEMAT predicted the skeletons of 75% of the 20 neolignans tested, in a rapid and simple procedure demonstrating its advantage for the structural elucidation of new compounds.