Results 191 to 200 of about 771,908 (353)

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

open access: yesAdvanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang   +7 more
wiley   +1 more source

ILO diagram: a novel conceptual model of intended learning outcomes

open access: yes, 2014
Achieving intended learning outcomes (ILOs) in education is an ongoing topic within distance learning and educational communities. The term "ILOs" has been introduced to indicate what learners will be able to do by the end of the course of study ...
Tangworakitthaworn, Preecha
core  

3D Large‐Scale Subwavelength‐Resolution Sound Sheet Tomography Based on an Active and Programmable Circular Meta‐Array

open access: yesAdvanced Science, EarlyView.
A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang   +11 more
wiley   +1 more source

FRAMEWORK FOR FLEXIBLE REUSE AND ASSEMBLY OF LEARNING OBJECTS – A PILOT PROJECT [PDF]

open access: yes
The present paper aims to highlight certain relevant and new features revealed by the research on assisted training. The motivation is given by the necessity to efficiently develop the educational resources by combining reusable learning objects, and ...
Justina Lavinia Stănică   +1 more
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

SPOKEN MATHEMATICS AND LEARNING OUTCOMES IN INTERNATIONAL MATHEMATICS CLASSROOMS

open access: yes, 2009
SPOKEN MATHEMATICS AND LEARNING OUTCOMES IN INTERNATIONAL MATHEMATICS ...
David Clarke (79349)   +2 more
core  

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

open access: yesAdvanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu   +7 more
wiley   +1 more source

An assessment of the effectiveness of cooperative learning strategies in promoting problem-solving skills and achievement in mathematics.

open access: yes
The study investigates the rationale and value of using cooperative learning strategies in the mathematics classroom with special reference to its effectiveness in promoting problem solving skills and levels of achievement in mathematics. In this it is
Barham, Areej Isam
core  

Enhancing Mathematics Learning Outcomes Through Stad Cooperative Model In Grade V

open access: yes
This classroom action research, conducted in two cycles, aimed to explore the effectiveness of implementing the STAD (Student Teams Achievement Division) type cooperative learning model in improving Mathematics learning outcomes for grade V pupils.
Hasibuan, Asnita, Nurmawati, Nurmawati
core   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

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