Results 31 to 40 of about 1,618,052 (295)

Teaching a computer to teach [PDF]

open access: yesBehavior Research Methods & Instrumentation, 1979
The long-range goal of computer-assisted instruction (CAI) should be to construct computer programs that interact with a student as a human tutor does. In order to make computers act as intelligent tutors, we must consider three aspects of teaching; (1) A tutor makes use of many different knowledge sources.
openaire   +2 more sources

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia   +2 more
wiley   +1 more source

Ultrahigh Piezoelectricity in Truss‐Based Ferroelectric Ceramics Metamaterials

open access: yesAdvanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
By leveraging the unique combination of polarization direction and loading state, ultrahigh piezoelectricity is achieved through careful tuning of the relative density and scaling ratio in truss‐based ferroelectric metamaterials. This approach enables the simultaneous realization of extremely high piezoelectric constants and ultralow dielectric ...
Jiahao Shi   +6 more
wiley   +1 more source

Engineered Peptides‐Based Hybrid‐Nested Microneedle Effectively Treat Biofilm‐Infected Diabetic Wounds

open access: yesAdvanced Functional Materials, EarlyView.
A hybrid‐nested microneedle/cryogel scaffold (MQW‐CMg‐MOF) is designed for efficient biofilm removal and accelerated healing of diabetic wounds. The scaffold shows substantial biofilm removal in vitro and in a preclinical diabetic swine biofilm‐infected wound model compared to the control.
Syed Muntazir Andrabi   +11 more
wiley   +1 more source

Matrix Tropism Influences Endometriotic Cell Attachment Patterns

open access: yesAdvanced Functional Materials, EarlyView.
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault   +7 more
wiley   +1 more source

Engineering a Single Amino Acid Bionanozyme for Ultrasensitive Detection of Biomarkers: A WHO‐REASSURE‐ Aligned Approach

open access: yesAdvanced Functional Materials, EarlyView.
A unique 2D bionanozyme, engineered from a single amino acid and copper ions, demonstrates peroxidase‐mimicking catalytic activity. This efficient and simple bionanozyme allows for ultrasensitive, equipment‐free visual detection of key biomarkers in both test and real samples, meeting the WHO‐REASSURE standards for practical diagnostic applications ...
Subrat Vishwakarma   +5 more
wiley   +1 more source

The Teaching of Arithmetic

open access: yesTeachers College Record: The Voice of Scholarship in Education, 1909
Mode of access: Internet.
openaire   +1 more source

Versatile Green Transfer of Magnetoelectronics with Loss‐Free Performance and High Adhesion for Interactive Electronics

open access: yesAdvanced Functional Materials, EarlyView.
An environmentally friendly transfer printing method of nm‐thick giant magnetoresistive (GMR) sensors is demonstrated. This method, relying on water and biocompatible polyvinyl alcohol (PVA) polymer without the need of complex treatments, allows transferring thin films to a wide range of biological, organic, and inorganic substrates.
Olha Bezsmertna   +7 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

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