Results 21 to 30 of about 452,971 (205)

OntoEPFS: uma ontologia para experimentos em mapeamento digital de solos. [PDF]

open access: yes, 2020
A descrição formal de experimentos para aquisição, tratamento, análises de dados, compartilhamento e reprodução dos resultados obtidos é fundamental para os cientistas envolvidos.
ANDRADES, S. F.   +5 more
core  

Predição de Falhas em Workflows Científicos em Nuvens baseada em Aprendizado de Máquina

open access: yes, 2020
Resumo. Os cientistas cada vez mais têm se apoiado em ferramentas computacionais para executar e analisar experimentos cientı́ficos, almejando reduzir esforços e custos para comprovar ou refutar hipóteses.
Daniel Silva Junior   +2 more
semanticscholar   +1 more source

In silico functional dissection of saturation mutagenesis: Interpreting the relationship between phenotypes and changes in protein stability, interactions and activity. [PDF]

open access: yes, 2016
Despite interest in associating polymorphisms with clinical or experimental phenotypes, functional interpretation of mutation data has lagged behind generation of data from modern high-throughput techniques and the accurate prediction of the molecular ...
Ascher, David B   +3 more
core   +3 more sources

Conservation of Computational Scientific Execution Environments for Workflow-based Experiments Using Ontologies

open access: yes, 2016
La reproducibilidad de estudios y resultados cientificos es una meta a tener en cuenta por cualquier cientifico a la hora de publicar el producto de una investigacion.
Idafen Santana Pérez
semanticscholar   +1 more source

Aplicação de Ontologias de Proveniência em Workflows Científicos: um Mapeamento Sistemático

open access: yesAnais do Brazilian e-Science Workshop (BreSci), 2019
Experimentos científicos modelados como workflows são executados por complexos mecanismos chamados de Sistemas de Gerência de Workflows (SGWf). Existem diversos SGWfs com seus prós e contras, porém todos compartilham diversas características como por ...
Luiz Gustavo Dias   +2 more
semanticscholar   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

open access: yesAdvanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales   +12 more
wiley   +1 more source

Computer-aided technical translation workflows - man-machine in the construction and transfer of corporate knowledge [PDF]

open access: yes, 2005
The translation of technical documents is no longer a process to be tackled once the source text has been produced elsewhere in the corporation or institution.
Yuster, Elia
core   +2 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Documenting models and workflows: the next challenge in the field of ecological data management [PDF]

open access: yes, 2013
Los modelos ecológicos se han convertido en una pieza clave de esta ciencia. La generación de conocimiento se consigue en buena medida mediante procesos analíticos más o menos complejos aplicados sobre conjuntos de datos diversos.
Benito, Blas M.   +4 more
core   +2 more sources

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

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