Results 121 to 130 of about 1,073,227 (356)

Multi-year mapping of cropping systems in regions with smallholder farms from Sentinel-2 images in Google Earth engine

open access: yesGIScience & Remote Sensing
Accurate acquisition of spatial and temporal distribution information for cropping systems is important for agricultural production and food security. The challenges of extracting information about cropping systems in regions with smallholder farms are ...
Hongwei Qi   +3 more
semanticscholar   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

Extending OWL-S for the Composition of Web Services Generated With a Legacy Application Wrapper [PDF]

open access: yes, 2012
Despite numerous efforts by various developers, web service composition is still a difficult problem to tackle. Lot of progressive research has been made on the development of suitable standards.
Gibaud, Bernard, Wali, Bacem
core   +2 more sources

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

open access: yesAdvanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan   +14 more
wiley   +1 more source

A Digital Library Feasibility Study

open access: yesLiber Quarterly: The Journal of European Research Libraries, 2010
This paper presents the outcomes of a Digital Library Feasibility Study at the Wellcome Library. In particular, the study looked at the interoperability and integration between systems, including a back-end digital asset management (DAM) system with ...
C. Henshaw, M. Savage-Jones, D. Thompson
doaj   +1 more source

Enforcing reputation constraints on business process workflows [PDF]

open access: yes, 2014
The problem of trust in determining the flow of execution of business processes has been in the centre of research interst in the last decade as business processes become a de facto model of Internet-based commerce, particularly with the increasing ...
Aziz, Benjamin, Hamilton, Geoff
core  

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Service workflow engine : cloud evolution

open access: yes, 2023
Atualmente, as empresastêm muitos processos que são executados diariamente. Para reduzir custos e tempo utilizam­se os designados motores de execução de fluxos que permitem gerir, eficientemente, os processos de negócio de forma guiada. Também ajuda a prevenir erros, permite a tomada de decisões entre várias alternativas possíveis mais rapidamente e os
openaire   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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