Integration of English ‘teaching-learning-assessing’ in Chinese High Schools: A Literature Review

Classroom assessment has always been the focus of research on foreign language teaching, and "integration of teaching and assessment" has become a heated topic in international second language teaching field, but this topic has not yet attracted the attention of some scholars. In result, this paper retrieves the papers published domestic and abroad between 2017 and 2023 focusing on the "integration of teaching and evaluation" in English subject as data sources and analyzes the research contents. The results show that the research type of "integration of teaching-learning-assessing" is mainly theoretical research, but the number of empirical research is quite small. Besides, the theoretical research also shows an upward trend. The research objects are mainly secondary school English teachers and students. The research content focuses on the following four aspects: the definition of "integration of teaching-learning-assessing"; the implementation path of "integration of teaching-learning-assessing" in the classroom; the application of "integration of teaching-learning-assessing" in specific subjects and the investigation of "integration of teaching-learning-assessing" in the classroom. The data collection methods were mainly questionnaires, interviews and classroom observations. In the end of this paper, the future research and the development trend of "integration of teaching-learning-assessing" are pointed out

Measuring the similarity of PML documents with RFID-based sensors

The Electronic Product Code (EPC) Network is an important part of the Internet of Things. The Physical Mark-Up Language (PML) is to represent and de-scribe data related to objects in EPC Network. The PML documents of each component to exchange data in EPC Network system are XML documents based on PML Core schema. For managing theses huge amount of PML documents of tags captured by Radio frequency identification (RFID) readers, it is inevitable to develop the high-performance technol-ogy, such as filtering and integrating these tag data. So in this paper, we propose an approach for meas-uring the similarity of PML documents based on Bayesian Network of several sensors. With respect to the features of PML, while measuring the similarity, we firstly reduce the redundancy data except information of EPC. On the basis of this, the Bayesian Network model derived from the structure of the PML documents being compared is constructed.Comment: International Journal of Ad Hoc and Ubiquitous Computin

CPCP violation induced by the double resonance for pure annihilation decay process in Perturbative QCD

In Perturbative QCD (PQCD) approach we study the direct $CP$ violation in the pure annihilation decay process of $\bar{B}^0_{s}\rightarrow\pi^+\pi^-\pi^+\pi^-$ induced by the $\rho$ and $\omega$ double resonance effect. Generally, the $CP$ violation is small in the pure annihilation type decay process. However, we find that the $CP$ violation can be enhanced by double $\rho-\omega$ interference when the invariant masses of the $\pi^+\pi^-$ pairs are in the vicinity of the $\omega$ resonance. For the decay process of $\bar{B}^0_{s}\rightarrow\pi^+\pi^-\pi^+\pi^-$, the maximum $CP$ violation can reach 28.64{\%}

Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning

Computer-generated graphics (CGs) are images generated by computer software. The~rapid development of computer graphics technologies has made it easier to generate photorealistic computer graphics, and these graphics are quite difficult to distinguish from natural images (NIs) with the naked eye. In this paper, we propose a method based on sensor pattern noise (SPN) and deep learning to distinguish CGs from NIs. Before being fed into our convolutional neural network (CNN)-based model, these images---CGs and NIs---are clipped into image patches. Furthermore, three high-pass filters (HPFs) are used to remove low-frequency signals, which represent the image content. These filters are also used to reveal the residual signal as well as SPN introduced by the digital camera device. Different from the traditional methods of distinguishing CGs from NIs, the proposed method utilizes a five-layer CNN to classify the input image patches. Based on the classification results of the image patches, we deploy a majority vote scheme to obtain the classification results for the full-size images. The~experiments have demonstrated that (1) the proposed method with three HPFs can achieve better results than that with only one HPF or no HPF and that (2) the proposed method with three HPFs achieves 100\% accuracy, although the NIs undergo a JPEG compression with a quality factor of 75.Comment: This paper has been published by Sensors. doi:10.3390/s18041296; Sensors 2018, 18(4), 129

Analysis on Correlation between Personal Financial Investment and Macroeconomic Development in China

This paper summarizes the variation characteristics of personal investment selection in China and analyses the correlation between personal financial investment selection and macro financial economic development. The result indicates that Chinese residents’ personal financial investment is greatly associated with GDP, price of commodities and interest rates but slightly with employment rate. Key words: personal finance, investment selection, macroeconomy, correlationRésumé: Le présent article résume les caractéristiques des variations du choix de l’investissement personnel en Chine et analyse la corrélation entre le choix de l'investissement financier personnel et le développement macroéconomique et financier. Le résultat indique que l'investissement financier personnel des résidents chinois est étroitement lié avec le PIB, les prix des produits et les taux d'intérêt, mais légèrement avec le taux d'emploi.Mots-clés : financement personnel; choix de l’investissement ; macroéconomie; corrélatio