Results 151 to 160 of about 408 (208)

Controlled Peptide Capture and Release in 3D‐Printed Multimaterial Microstructures

open access: yesAdvanced Science, EarlyView.
Two‐photon laser printing of 3D microstructures using a peptide‐containing ink is shown. The microstructures allow for controlled capture and release of target peptides through coiled‐coil interaction with the printed peptide inside the material. Based on these properties, orthogonal capture and stimuli‐mediated release possibilities inside printed ...
Niklas Schwegler   +4 more
wiley   +1 more source

Charting the Future of Stereoselective Carbohydrate Synthesis: The Essential Role of Cross‐Disciplinary Innovation

open access: yesAdvanced Science, EarlyView.
Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
wiley   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

open access: yesAdvanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen   +12 more
wiley   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

open access: yesAdvanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu   +9 more
wiley   +1 more source

Large‐scale Whole‐Exome Sequencing Defines the Protein‐Coding Architecture of Retinal Structure, Visual Function, and Major Blinding Diseases

open access: yesAdvanced Science, EarlyView.
Large‐scale whole‐exome sequencing in 356,982 UK Biobank participants defines the protein‐coding architecture of retinal structure, visual function, and major blinding diseases. Pleiotropic genes, including CFI, C3, and RIOX1, bridge multiple retinal phenotypes, while experimental validation of FYB2 implicates RPE barrier dysfunction, providing ...
Jianqing Li   +23 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

Measurement and assessment in computer-supported collaborative learning

Computers in Human Behavior, 2010
The overall goal of CSCL research is to design software tools and collaborative environments that facilitate social knowledge construction via a valuable assortment of methodologies, theoretical and operational definitions, and multiple structures [Hadwin, A. F., Gress, C. L. Z., & Page, J. (2006).
Carmen L. Z. Gress   +3 more
openaire   +3 more sources

Computer-Supported Collaborative Learning [PDF]

open access: possible
Abstract This chapter discusses the theory, design, and technology of computer-supported collaborative learning (CSCL) for promoting collaborative inquiry and productive discourse, illustrated with several major CSCL research traditions.
Ingo Kollar   +4 more
  +4 more sources

Computer supported collaborative learning

2023
Research on computer supported collaborative learning (CSCL) covers how to design the technological context for productive collaboration and how people learn in the context of collaborative activity. This is to optimize high level collaborative activities for sharing and building knowledge.
Näykki Piia   +2 more
openaire   +2 more sources

Computer-Supported Collaborative Learning

2006
In collaborative learning, interaction among learners is essential for effective knowledge acquisition and increased understanding. Computer Supported Collaborative Learning (CSCL) environments often inhibit or cause problems with learner-learner interactions.
Kara L. Orvis, Andrea L.R. Lassiter
openaire   +2 more sources

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