Results 71 to 80 of about 115,785 (263)

FRONTIER POSITION AND MEANING PRODUCTION IN THE INDIGENOUS MATHEMATICS EDUCATION

open access: yesReflexão & Ação, 2013
This paper presents some results of a survey that aimed to follow a process of continuous formation of a group of Kaingang indigenous teachers who teach mathematics in Terra Indigena Xapecó in Ipuaçu, SC.
Luci dos Santos Bernardi   +2 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

The Humanisation of Mathematics Education

open access: yesProcedia - Social and Behavioral Sciences, 2013
AbstractThe reform of Lithuanian education system was started since early 1990s when Lithuania regained independence as the first republic which broke free from the USSR. The concept of Lithuanian education has been to define the principle of humanity, which stresses the importance of values of human freedom, responsibility and creativity in a person's
openaire   +1 more source

A Bioinspired Sensory‐CAPode With Dual Functionality: Logic Gate and Real‐Time Biosensing

open access: yesAdvanced Functional Materials, EarlyView.
An electrochemical capacitor diode (CAPode) redefines the frontier of iontronics by seamlessly unifying logic computing and biosensing within a single biocompatible platform. Inspired by nature's own ion‐channel circuitry, this elegant ionic system transforms complex chemical signals into precise electrical responses, paving the way for next‐generation
Hanfeng Zhou   +10 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

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

Mathematics education, democracy and development: Exploring connections

open access: yesPythagoras, 2012
Mathematics education and its links to democracy and development are explored in this article, with specific reference to the case of South Africa. This is done by engaging four key questions.
Renuka Vithal
doaj   +1 more source

Lattice‐Matched 2D Template Enables Efficient Cesium Tin Halide Perovskite Solar Cells

open access: yesAdvanced Materials, EarlyView.
Lattice‐matched 2D perovskite PEA2CsSn2I7 templates the out‐of‐plane growth of inorganic 3D γ‐CsSnI3 along the (110) plane, forming highly oriented 2D/3D tin halide perovskite heterostructures. With reduced trap states and mitigated δ‐phase impurities, the CsSnI3‐based solar cells achieve a power conversion efficiency of 15.27% and maintain stable ...
Hongzhe Anna Xu   +15 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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