Results 101 to 110 of about 2,373,415 (302)

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

open access: yesAdvanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen   +4 more
wiley   +1 more source

The world of distance learning

open access: yesJournal of Open, Flexible and Distance Learning, 2012
Column covering topical topical events and summaries of new publications in the field of distance learning.
Andrea McIlroy
doaj   +2 more sources

Transformations of Early Childhood Teachers’ Attitudes Through the ONDAS Training Program

open access: yesEducation Sciences
This study examined changes in the attitudes of early childhood teachers resulting from their participation in the ONDAS Training Program, a Colombian government strategy designed to strengthen professional skills and dispositions through reflective ...
Edgar Sosa, Liliana Silva
doaj   +1 more source

A Survey on Metric Learning for Feature Vectors and Structured Data

open access: yes, 2013
The need for appropriate ways to measure the distance or similarity between data is ubiquitous in machine learning, pattern recognition and data mining, but handcrafting such good metrics for specific problems is generally difficult.
Bellet, Aurélien   +2 more
core  

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou   +4 more
wiley   +1 more source

The world of distancce learning

open access: yesJournal of Open, Flexible and Distance Learning, 2012
Column covering topical topical events and summaries of new publications in the field of distance learning.
Terry Hearn
doaj   +2 more sources

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