This research was aimed to develop and evaluate the activity based learning kits for children in a disadvantaged community according to the project “Vocational Teachers Teach Children to Create Virtuous Robots from Garbage”, to examine the learning achievement, to measure the satisfaction and to do an authentic assessment of children as regards the learning kits. The researchers chose the sampl...

Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of execution result a algorithm, it is crucial inform users noises used computer compiled physical circuits. However, an intuitive systematic way ma...

This paper describes a survey of technologies and to what extent they support virtual project based learning. The paper argues that a survey of learning technologies should be related to concrete learning tasks and processes. Problem oriented project pedagogy (POPP) is discussed, and a framework for evaluation is proposed where negotiation of meaning, coordination and resource management are id...

As the machine learning and systems communities strive to achieve higher energy efficiency through custom deep neural network (DNN) accelerators, varied precision or quantization levels, model compression techniques, there is a need for design space exploration frameworks that incorporate quantization-aware processing elements into accelerator while having accurate fast power, performance, area...

A constructivist neural network model is presented that learns the past tense of English verbs. The model builds its architecture in response to the learning task in a way consistent with neurobiological and psychological evidence. The model outperforms existing connectionist and symbolic past tense models in terms of learning and generalization behavior, and it displays a U-shaped learning cur...

Caffeine, dose dependently can reinforce or deteriorate learning. In previous studies, the effect of glucose on decreasing of amnesia was investigated. In this study, the effect of caffeine on three phases of learning and also probable interference of glucose in mice were examined by using of passive avoidance learning .Male albino mice were examined as follows: 1. test group: a) this group rec...

diag(u)Kdiag(v). We have T ⇤1 = diag(u)Kv ) (T ⇤1) a +1 ↵ h(x) a = Kv where we substituted the expression for u. Re-writing T ⇤1, (diag(u)Kv) a +1 = diag(h(x) a )Kv )u a +1 = h(x) a (Kv) a )u = h(x) a a +1 (Kv) a a +1 . A symmetric argument shows that v = y b b +1 (K>u) b b +1 . B Statistical Learning Bounds We establish the proof of Theorem 5.1 in this section. For simpler notation, for a sequ...

We proposed that mitral cell 1-adrenoceptor activation mediates rat pup odor preference learning. Here we evaluate 1-, 2-, 1-, and 2-adrenoceptor agonists in such learning. The 1-adrenoceptor agonist, dobutamine, and the 1-adrenoceptor agonist, phenylephrine, induced learning, and both exhibited an inverted U-curve dose-response relationship to odor preference learning. Phenylephrine-induced le...

Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based are robust to noise, but lack complex background image modeling capability; representation-based good at localization, accuracy shape contour extraction...

Recently, machine learning methods (e.g., support vector machine (SVM)) have received increasing attentions in neuroimaging-based Alzheimer’s disease (AD) classification studies. For classifying AD patients from normal controls (NC), standard SVM trains a classification model from only AD and NC subjects. However, in practice besides AD and NC subjects, there may also exist other subjects such ...