Results 51 to 60 of about 70,329 (312)

A Pollen‐Enhanced Bionic Mechanoreceptor Induced by Asymmetric Ionic Convection in Hydrogel for Sensory‐Augmented Prostheses

open access: yesAdvanced Science, EarlyView.
This work proposed a pollen‐enhanced bionic mechanoreceptor based on ionic convection. Leveraging the ion anchoring effect of the pollen particle, the output performance could be ∼12 times higher than the original state. By employing deep learning models as AI brains, the feasibility of a sensory‐augmented prosthesis consisting of a pollen‐enhanced ...
Zi Hao Guo   +7 more
wiley   +1 more source

Authentic learning on the web: Guidelines for course design [PDF]

open access: yes, 2007
In response to the growing influence of constructivism as a philosophical approach to learning, and a wide range of research studies investigating alternative models of teaching and learning over the last decade, many universities have experimented with ...
Oliver, R.   +2 more
core   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

Authentic e-learning in a multicultural context: Virtual benchmarking cases from five countries [PDF]

open access: yes, 2011
The implementation of authentic learning elements at education institutions in five countries, eight online courses in total, is examined in this paper. The International Virtual Benchmarking Project (2009-2010) applied the elements of authentic learning
Leppisaari, I.   +3 more
core   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

Designing authentic activities for web-based courses [PDF]

open access: yes, 2002
Influenced by constructivist philosophy and advances in technology, there is increasing interest in authentic activities as a basis for learning in both face-to-face and web-based courses.
Herrington, J.
core   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

open access: yesAdvanced Science, EarlyView.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li   +8 more
wiley   +1 more source

Authentic Texts as Reading Materials in a Chinese as a Foreign Language Classroom: Learners’ Perceptions and Pedagogical Implications [PDF]

open access: yesJournal of the National Council of Less Commonly Taught Languages, 2018
Authentic texts refer to spoken or written language produced in the process of real-life communication (Nunan, 1999). This classroom-based case study inquiry focuses on a university Chinese class where authentic texts were used as supplementary reading ...
Sha Huang
doaj  

Authentic Tasks Online: A synergy among learner, task, and technology [PDF]

open access: yes, 2006
Fostering the synergy among learner, task and technology to create innovative and immersive distance learning environments runs counter to the widespread practice of incorporating traditional classroom pedagogical strategies into web-based delivery of ...
Oliver, R., Herrington, J., Reeves, T.C.
core   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

open access: yesAdvanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou   +8 more
wiley   +1 more source

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