Results 51 to 60 of about 14,681,183 (175)
Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide
Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma +9 more
wiley +1 more source
A critical review of ims learning design
Capítulo del libro "The Art & Science of Learning Design. Technology Enhanced Learning. SensePublishers, Rotterdam"The work presented in this paper summarizes the research performed in order to implement a set of Units of Learning (UoLs) focused on ...
Burgos, Daniel
core +1 more source
Using the IMS LD Standard to Describe Learning Designs [PDF]
IMS Learning Design (IMS LD 2003) is an open standard that can be used to specify a wide range of pedagogical strategies as formal models. Such formal models then can be interpreted and executed by IMS LD compatible players to support online learning ...
Agostinho, Shirley +5 more
core +1 more source
ABSTRACT Artificial protein design enables the creation of stable scaffolds beyond those evolved in nature. Incorporation of native functional motifs into de novo scaffolds provides a promising strategy to mimic natural interactions while altering structural frameworks.
Hakuto Miyoshi +7 more
wiley +1 more source
We carry out a report showing the state of the art about virtual communities, research groups and projects focused on the e-learning specification IMS Learning Design or directly related to it.
Daniel Burgos, Rob Koper
doaj
Revisiting bare‐ground evaporation in a high‐resolution numerical weather prediction system
An improved method is proposed to parameterize evaporation in numerical weather prediction models. The figure shows dew‐point temperature forecast error (standard deviation of forecast error and bias) versus lead time over the North Plains region during spring 2022 for three parameterizations: CTL, the α$$ \alpha $$ method of Jacquemin and Noilhan; IFS:
Vincent Fortin +4 more
wiley +1 more source
Weibull Variational Autoencoder for Remaining Useful Life Prediction
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu +4 more
wiley +1 more source
A model-driven development approach for learning design using the LPCEL Editor
Complex learning scenarios are represented using Educational Modeling Languages (EMLs). Different people with specific skills usually design these scenarios.
Jorge Torres +3 more
doaj +1 more source
Deep Learning Techniques to Improve the Performance of Olive Oil Classification
The olive oil assessment involves the use of a standardized sensory analysis according to the “panel test” method. However, there is an important interest to design novel strategies based on the use of Gas Chromatography (GC) coupled to mass spectrometry
Belén Vega-Márquez +3 more
doaj +1 more source
Osmotic Remodeling of Extracellular Vesicles for Precision Nanomedicine
Hypotonic lysis in bidistilled water is used to remodel B lymphocyte–derived extracellular vesicles into cargo‐depleted, structurally preserved nanovesicles. The process reduces intraluminal proteins and nucleic acids, reshapes membrane composition, and enhances tumor‐cell uptake in vitro, while allowing proof‐of‐concept reloading with exogenous agents,
Francesca Susa +18 more
wiley +1 more source

