The Relationship between Secondary School Students’ Emotional Intelligence and Learning Motivation

In recent years, emotional intelligence has been highly regarded because of its ability to control emotions, develop talented potential, build high-quality relationships, and have leadership skills. Learning motivation is the motivation of achievement in learning, a psychological need for individuals to pursue success, and also one of the main factors affecting learning achievement. Both of them are very important to young adults. However, rare studies discuss the correlation between middle school students’ emotional intelligence and learning motivation. The purposes of this study were to explore the relationships between secondary school students’ emotional intelligence and learning motivation. Participants were 877 secondary school students selected from central Taiwan. A questionnaire was applied to collect data. Data were analyzed by using descriptive statistics, Pearson’s product-moment correlation, and multiple regression analysis. The findings of this study were as follows: First, the students’ perception of the current situations of emotional intelligence and learning motivation were above a moderate level. Second, there was a positive correlation between emotional intelligence and learning motivation. Third, emotional intelligence could predict learning motivation and the level of self-motivation was the best predictor. Conclusion and discussion were also included in this study. Keywords: Secondary school student, Emotional intelligence, Learning motivation DOI: 10.7176/JEP/12-5-02 Publication date: February 28th 202

SPEECH ENHANCEMENT BASED ON SPARSE THEORY UNDER NOISY ENVIRONMENT

[[abstract]]Recently, the sparse algorithm for sparse enhancement is more and more popular issues. In this paper, we classify the process of the sparse theory to enhance speech signal into two parts, one is for dictionary training part and the other is signal reconstruction part. We focus on the White Gaussian Noise. Clean speech dictionary D is trained by K-SVD algorithm. The orthogonal matching pursuit(OMP) algorithm is used to obtain the sparse coefficients X of clean speech dictionary D. Denoising performance of the experiments shows that our proposed method is superior than other methods in SNR, LLR, SNRseg and PESQ.[[sponsorship]]National Taipei University[[conferencetype]]國際[[conferencedate]]20150718~20150719[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Tokyo, Japa

3D FACE MODEL CONSTRUCTION BASED ON KINECT FOR FACE RECOGNITION

[[abstract]]We propose a simpler and faster method to recognize face. First, we use Kinect to detect frontal face and get depth image information with face, then we portrayed face in OpenGL to construct a three-dimensional face model based on the depth information. The face model also retains texture information of the original face images, and to create a complete change depth of face. It has a good result of repairing the distortion in side face. We can get a set face images with different angles by the method proposed, In recognition part, we use PCA(Principal Component Analysis) to reduce the dimensions, and classified with SVM(Support Vector Machine). The experiments show that the side face recognition can have good results.[[sponsorship]]National Taipei University[[conferencetype]]國際[[conferencedate]]20150718~20150719[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Tokyo, Japa

A Real Time Hand Gesture Recognition System Based on DFT and SVM

[[abstract]]Vision based band gesture recognition provides a more nature and powerful means for human-computer interaction. A fast detection process of hand gesture and an effective feature extraction process are presented. The proposed a hand gesture recognition algorithm comprises four main steps. First use Cam-shift algorithm to track skin color after closing process. Second, in order to extract feature, we use BEA to extract the boundary of the hand. Third, the benefits of Fourier descriptor are invariance to the starting point of the boundary, deformation, and rotation, and therefore transform the starting point of the boundary by Fourier transformation. Finally, outline feature for the nonlinear non-separable type of data was classified by using SVM. Experimental results showed the accuracy is 93.4% in average and demonstrated the feasibility of proposed system.[[incitationindex]]EI[[booktype]]電子版[[booktype]]紙

Online Auction Buyers’ Brain Images When Making Purchasing Decisions Involving Different Types of Rewards

In the past year, online auction sales on sites such as eBay and Yahoo!Auction have increased over 100 percent due to the pandemic, and the growth opportunities for the global online auction market are anticipated to continue until 2028 (Absolute Markets Insights 2020). When online auction buyers have a demand for a product, they usually buy it by going through a process of bidding behaviors to ensure that the final bidding price is commensurable to the product attributes. As indicated in prior studies, most consumers are sensitive to discounts and promotions, such as coupons and rebates (Akar and Nasir 2015; Dominique-Ferreira et al. 2016). More specifically, coupons are distributed in various forms, such as membership coins or points, and free or express delivery services. These different discount mechanisms influencing consumers’ purchasing decision-making processes can be generally categorized into two types of rewards: price-related and not price-related. The purpose of the current experimental study is to explore which type of rewards significantly influences online buyers’ purchasing intention in the context of bidding. The participants, who have experience in purchasing products on auction websites, are placed in a simulated online bidding context. Since brain imaging techniques have been validated in many research fields, this study’s participants’ brain images are also scanned and recorded during the entire experiment to further determine the significant level of neuron activities related to decision-making tasks in certain brain regions (i.e., medial prefrontal cortex, anterior cingulate cortex/nucleus accumbens, and insula). Other brain regions, such as the dorsolateral prefrontal cortex and ventrolateral prefrontal cortex, are also observed to find any significant activation during the experiment (Dimoka 2012; Knutson et al. 2007). Each bidding product (ranging from 8 to 30 USD) gives 1% of the product price as membership coins (price-related) or points (not price-related) to the participants while they view different types of products presented on the screen. The participants have to click on a yes-no button to indicate whether they have the intention to purchase the product. After the experiment, face-to-face interviews are carried out to verify their neural and behavioral responses. This study expects to make contributions to the e-commerce and neuromarketing fields

How the Design Leadership and Strategic Design Drive New Value in Enterprises and Organizations

Today's design has shifted from the original primary pursuit of appearance and function to processes and systems, creating new meanings for corporate strategies, products and services. Nowadays, enterprises are increasingly paying attention to the power of design, and regard design as the main innovation method and incorporate it into the organizations. Design began to be considered a key role at the top of large organizations. Although people recognize that design can bring good effects to enterprises and organizations, and there is growing interest in cultivating design thinking, what are the leaders who can lead enterprises, organizations and have design thinking? Their characteristics and how to formulate and plan strategic design still not fully elucidated. Therefore, this research uses related theories to understand the way of thinking and characteristics of design leaders, only in this way we formulate good strategic design for enterprises and organizations, and become an indispensable and important help in today rapidly changing world

CR3 and Dectin-1 Collaborate in Macrophage Cytokine Response through Association on Lipid Rafts and Activation of Syk-JNK-AP-1 Pathway

Copyright: © 2015 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Acknowledgments We are grateful to the Second Core Laboratory of Research Core Facility at the National Taiwan University Hospital for confocal microscopy service and providing ultracentrifuge. We thank Dr. William E. Goldman (University of North Carolina, Chapel Hill, NC) for kindly providing WT and ags1-null mutant of H. capsulatum G186A. Funding: This work is supported by research grants 101-2320-B-002-030-MY3 from the Ministry of Science and Technology (http://www.most.gov.tw) and AS-101-TP-B06-3 from Academia Sinica (http://www.sinica.edu.tw) to BAWH. GDB is funded by research grant 102705 from Welcome Trust (http://www.wellcome.ac.uk). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD

A systematic approach to detecting transcription factors in response to environmental stresses

Abstract Background Eukaryotic cells have developed mechanisms to respond to external environmental or physiological changes (stresses). In order to increase the activities of stress-protection functions in response to an environmental change, the internal cell mechanisms need to induce certain specific gene expression patterns and pathways by changing the expression levels of specific transcription factors (TFs). The conventional methods to find these specific TFs and their interactivities are slow and laborious. In this study, a novel efficient method is proposed to detect the TFs and their interactivities that regulate yeast genes that respond to any specific environment change. Results For each gene expressed in a specific environmental condition, a dynamic regulatory model is constructed in which the coefficients of the model represent the transcriptional activities and interactivities of the corresponding TFs. The proposed method requires only microarray data and information of all TFs that bind to the gene but it has superior resolution than the current methods. Our method not only can find stress-specific TFs but also can predict their regulatory strengths and interactivities. Moreover, TFs can be ranked, so that we can identify the major TFs to a stress. Similarly, it can rank the interactions between TFs and identify the major cooperative TF pairs. In addition, the cross-talks and interactivities among different stress-induced pathways are specified by the proposed scheme to gain much insight into protective mechanisms of yeast under different environmental stresses. Conclusion In this study, we find significant stress-specific and cell cycle-controlled TFs via constructing a transcriptional dynamic model to regulate the expression profiles of genes under different environmental conditions through microarray data. We have applied this TF activity and interactivity detection method to many stress conditions, including hyper- and hypo- osmotic shock, heat shock, hydrogen peroxide and cell cycle, because the available expression time profiles for these conditions are long enough. Especially, we find significant TFs and cooperative TFs responding to environmental changes. Our method may also be applicable to other stresses if the gene expression profiles have been examined for a sufficiently long time.</p