Reviewerly/exHarmony huggingface dataset:
Investigation and Analysis on the Development of Chinese Teachers in Vietnam University

In recent years, the expansion of relations with China has led to the increasing need for the use of employees knowing Chinese language. Today, Chinese language is not simply a necessary condition, but it also becomes a tool, an effective and powerful means to exchange and develop the Country. In the last 5 years, the number of students of Chinese language has increased dramatically, while the lecturers’ have not increased, the new equipment has not been equipped, the curriculum has not yet completed, the regime of remuneration of the Country is not really attractive for talents, many teachers have not really tried to frequently participate in scientific research ... which made the teaching and learning Chinese difficult, especially in improving the quality of teaching. The results of many research projects showed that the number of Vietnamese graduate students who did not meet jobs’ requirements occupied a very high ratio. Vietnamese students were often passive in learning and still weak in teamwork skills. In this study, we used the survey method using questionnaires and direct interviews. Through the results, we analyzed the factors from many different angles to find out causes of the above problems. At the same time, we also proposed some recommendations and resolutions for the current Chinese teaching and learning in Vietnam.
<i>In situ</i> characterization of linear-optical networks in randomized boson sampling

We introduce a method for efficient, in situ characterization of linear-optical networks (LONs) in randomized boson-sampling (RBS) experiments. We formulate RBS as a distributed task between two parties, Alice and Bob, who share two-mode squeezed-vacuum states. In this protocol, Alice performs local measurements on her modes, either photon counting or heterodyne. Bob implements and applies to his modes the LON requested by Alice; at the output of the LON, Bob performs photon counting, the results of which he sends to Alice via classical channels. In the ideal situation, when Alice does photon counting, she obtains from Bob samples from the probability distribution of the RBS problem, a task that is believed to be classically hard to simulate. When Alice performs heterodyne measurements, she converts the experiment to a problem that is classically efficiently simulable, but more importantly enables her to characterize a lossy LON on the fly, without Bob's knowledge and without changing anything at Bob's end (this is what we mean by in situ). We introduce and calculate the fidelity between the joint states shared by Alice and Bob after the ideal and lossy LONs as a measure of distance between the two LONs. Using this measure, we obtain an upper bound on the total variation distance between the ideal probability distribution for the RBS problem and the probability distribution achieved by a lossy LON. Our method displays the power of the entanglement of the two-mode squeezed-vacuum states: The entanglement allows Alice to choose for each run of the experiment between RBS and a simple characterization protocol based on first-order coherence between complex amplitudes.
Composition of Languages Embedded in Scala

Composition is amongst the major challenges faced in language engineering.Erdweg et al. offered a taxonomy for language composition.Mernik catalogued the use of the Language Definitional Framework LISA for composition sorts in that taxonomy.We produce a similar catalogue for embedded language engineering in Scala.We begin with techniques that are not specific to Scala.They are applicable in any host language with a module system and support for higher order functions.We, then, present two more techniques to examine Scala-specific language engineering.Interestingly enough, even though dealing with embedded languages, in terms of lines of code, our material is of comparable length to its LISA counterpart.Our work lends insight into Scala's serviceability for composition, as a host for embedded language engineering.
Design of automation system for building personal education trajectories of students

Problem and goal. Programs “Digital economy of the Russian Federation” and “Digitalization of education” prescribe the development of tools for the formation of an individual approach to each student. Currently, the tools of the organization of individual approach in the form of building an individual learning path are not perfect. Consider the modern aspects of the construction of personal trajectories of development of students, the selection of personal forms of control and reflection, personal goals and content of training. As the main tool for the organization of this approach, we propose to use a specially created system of automation of building personal trajectories of development of students. Methodology. To achieve the objectives the article describes the algorithm design of the system automating the selection of individual learning paths in basic stages. Methodical bases of differentiation and individualization of training, lists of documents obligatory for system start, and also basic principles of design of system are presented. Special attention is paid to the means of ensuring external and internal information security. Results. When following the stages of design, presented in the article, the system of automation of personal trajectories will have a basic set of necessary functions that will respond to the challenges formulated in the “Digitalization of education”. This system will simplify the work of teachers in terms of reducing the cost of building an individual trajectory. Conclusion. The application of the designed system will allow teachers to quickly and efficiently build individual educational trajectories for all their students, based on their individual capabilities and personal characteristics; for students and parents to access the constructed trajectory at a convenient time, perform tasks and monitor the learning process; for administration to see the learning process of each individual student and build analytical reports on the learning process.
Jaccard Coefficients based Clustering of XML Web Messages for Network Traffic Aggregation

This paper provides static efficient clustering model based simple Jaccard coefficients that supports XML messages aggregator in order to potentially reduce network traffic. The proposed model works by grouping only highly similar messages with the aim to provide messages with high redundancy for web aggregators. Web messages aggregation has become a significant solution to overcome network bottlenecks and congestions by efficiently reducing network volume by aggregating messages together removing their redundant information. The proposed model performance is compared to both K-Means and Principle Component Analysis (PCA) combined with K-Means. Jaccard based clustering model has shown potential performance as it only consumes around %32 and %25 processing time in comparison with K-Means and PCA combined with K-Means respectively. Quality measure (Aggregator Compression Ratio) has overcome both benchmark models
Senior high school students’ attitudes towards intercultural insertion into the ELT: Yogyakarta context

Experts in English Language Teaching often consider culture as the fifth skill in foreign language learning as cultural literacy is a must in 21st-century learning. Thus, this study is to investigate students’ interest in the insertion of Big ‘C’ and little ‘c’ themes from different countries into the English classroom. In this study, the researcher distributed a questionnaire to 58 students in a senior high school in Yogyakarta. The study indicated that the respondents’ preferences were mostly about local culture (Yogyakarta and Indonesian culture), followed by target culture (culture of English-speaking countries) and international culture. In accordance with the cultural themes, they showed a relatively higher preference toward Big ‘C’ over the little ‘c’ culture. Concerning Indonesian culture, the students were excited in learning about art/literature, history, and food while for Yogyakarta culture includes history, foods, and lifestyles. Meanwhile, for target culture (Britain, America, and Australia), the students were eager to learn about lifestyles and foods. The last, for international culture, the cultural themes of lifestyles and music/sports were preferred by the students.
Collusive Algorithms as Mere Tools, Super-tools or Legal Persons

Abstract The widespread use of algorithmic technologies makes rules on tacit collusion, which are already controversial in antitrust law, more complicated. These rules have obvious limitations in effectively regulating algorithmic collusion. Although some scholars and practitioners within antitrust circles in the United States, Europe and beyond have taken notice of this problem, they have failed to a large extent to make clear its specific manifestations, root causes, and effective legal solutions. In this article, the authors make a strong argument that it is no longer appropriate to regard algorithms as mere tools of firms, and that the distinct features of machine learning algorithms as super-tools and as legal persons may inevitably bring about two new cracks in antitrust law. This article clarifies the root causes why these rules are inapplicable to a large extent to algorithmic collusion particularly in the case of machine learning algorithms, classifies the new legal cracks, and provides sound legal criteria for the courts and competition authorities to assess the legality of algorithmic collusion much more accurately. More importantly, this article proposes an efficacious solution to revive the market pricing mechanism for the purposes of resolving the two new cracks identified in antitrust law.
The effectiveness of CIRC learning model and PQ4R learning model on reading comprehension skills of elementary school students

This study aims at identifying the effectiveness of Cooperative Integrated Reading Composition (CIRC) Learning Model on Reading Comprehension Skills, the Preview Question Read Reflect Recite Review (PQ4R) Learning Model on Reading Comprehension Skills and the differences in terms of effectiveness between the two learning models on the Reading Comprehension Skills of Grade V students in elementary school. The study was quasi-experimental research with pretest, posttest non-equivalent group design. The sample for this study was taken from Grade V students from Task Force 1 Lendah Kulon Progo. Simple random sampling technique was applied to select samples. Then, in order to identify the effectiveness of CIRC Learning Model and PQ4R Learning Model collected data were analysed by running the t-test and the ANOVA with the assistance of SPSS software version 22. The results of the study show that both CIRC and PQ4R have been effective for exercising the Reading Comprehension Skills with significance rate 0.000 &lt; 0.050. However, both models are insignificant for exercising the Reading Comprehension Skills to the Grade V students with significance rate 0.828 &gt; 0.050.
An Error Analysis on Student’s Translation Text

The ability to translate is a language skill that have to be mastered. A foreign language learner must have the ability to translate both verbally and written. This study aims to describe the level of students’ error in translating text. The qualitative research approach is used to describe the level of students’ error in translating text. The technique of data collection is done in two ways, namely observation and written documents. Data processing includes the activities of identifying and categorizing data, exposuring and interpretating of problems and drawing conclusions. The stage of writing report includes writing report activities and presenting the results. The results show that students make errors in terms of vocabulary, use of prepositions, and incomplete sentences. Error analysis can also be implemented in teaching translation through five stages, namely test, correction, discussion, revision, and evaluation.
Stronger trust and privacy in social networks via local cooperation1

Abstract In our article, we present several protocols that allow to efficiently construct large groups of users based only on local relations of trust. What is more, our approach proves to need only very small computational and communication overhead. Moreover, we give guarantees that a trusted core of the network is defended, even facing a powerful adversary capable of controlling a vast majority of users. This is non-trivial property in real-life networks, as those are usually modelled using preferential attachment graphs, which are extremely prone to attacks on the hub nodes. We show that using our protocols we can achieve similar robustness as Erdős–Renyí graphs, which, on the contrary, are very resistant against attacks focused on chosen nodes. Our protocols have been tested on graphs representing real-world social networks using high performance computing due to the size of the networks. In addition for some protocols, we provided a formal analysis to prove some phenomena in random graphs following power-law distribution, which we use as a network model. Finally, we explicitly demonstrate how our approach can be used to amplify security offered by some privacy-preserving protocols. We believe however that our results can be also seen as a contribution to fundamental observation about the nature of social networks. These results may help to design protocols, whenever it is necessary to gather a big group of users in highly dynamic or even adversarial settings.
Liquid State Machine to Generate the Movement Profiles for the Gait Cycle of a Six Degrees-of-Freedom Bipedal Robot in a Sagittal Plane

Abstract In this paper, an approach based on a liquid state machine (LSM) to compute the movement profiles to achieve a gait pattern subject to different variations in its trajectory is presented. At the same time, the position of the zero moment point (ZMP) to determine the stability of the six degrees-of-freedom (6DOF) bipedal robot in the sagittal plane during the gait cycle is calculated. The system is constructed as a supervised machine learning model. The time series of the oscillating foot trajectory obtained by direct kinematics with a multilayer perceptron neural network (MLP), to strengthen the kinematic model, is considered as input values for training. The target movement profiles are acquired of a human gait cycle analysis in three different scenarios: normal gait, climbing stairs, and descending stairs. In training, this model also gets the trajectories of the ZMP position during the gait cycle, as target time series. The LSM formed by spiking neurons, considered as third-generation neural networks, is compared in the accuracy of prediction, by the dynamic time warping (DTW) technique and correlation analysis, against the human gait analysis database. With this neuronal system, the joint positions to generate a trajectory of the oscillating foot and the ZMP position of the bipedal in the sagittal plane in different scenarios are obtained, proving the robustness of the LSM.
Channel Pruning for Efficient Convolution Neural Networks

Abstract In this paper, we propose a novel pruning method using feature maps Ln-norm to compress deep convolutional neural networks (CNNs) with large model size and long inference time. Different from existing pruning methods, which are mainly based on convolution kernels L1-norm, the proposed method uses output feature maps Ln-norm, where n is a variable. This method can accurately identify the redundant convolution filters and has good compression performance. The experiments on ImageNet show that the proposed method outperforms previous methods and is generally suitable for any CNNs models.
COMPARATIVE RESEARCH OF THE MOTIVATION OF STUDENTS OF EDUCATIONAL INSTITUTIONS OF DIFFERENT LEVEL

The article discusses the main theoretical approaches to the interpretation of the concepts of motive, motivation, motivational sphere. The structure of the given phenomena is analyzed. Particular attention is paid to the problem of educational activity motivation and the main motives that have a significant impact on the success of training. The attention is focused on the research of the educational activity motivation of students of different specialties of higher educational institutions.A comprehensive program of studying the separate components of the motivation of students’ learning is considered. Its individual methods mutually complement and mutually refine the obtained data. The characteristic of a sample of an empirical research of the motivation of students of educational institutions of different levels is presented.The results of the conducted research are analyzed. The dominant motivation of learning in the form of motives for mastering a profession, obtaining a diploma, acquiring knowledge, focus on self-improvement and educational and professional activitiy as leading in a given age period, are considered. The manifestation of students’ narrow and broad social and cognitive motives for mastering new knowledge, as well as motives for self-development and cooperation, are studied. Attention is focused on the degree of expression of students’ motivation to achieve and avoid failures in learning activity. The peculiarities of students’ attitudes towards study in the form of professional, educational and utilitarian motives are revealed. The ratio of external and internal, positive and negative motivation is analyzed. The possibility of further developing a program to increase the learning motivation is considered and its goals are highlighted.
Controlling Speedup Induced by a Hierarchical Environment

Quantum speedup of an open quantum system can be induced by the non-Markovian effect of the environment.Although an environment with a higher degree of non-Markovianity may seem like it should cause a faster speed of quantum evolution, this seemingly intuitive thinking may not always be correct.To clarify this point, we give a mechanism for controlling speedup of a single qubit that is coupled to a hierarchical photonic-crystal (PC) environment, which contains a defect single-mode cavity and a semi-infinite onedimensional (1D) waveguide.Via studying the dynamics of the qubit, we reveal that with a judicious choice of the qubit-cavity coupling strength and the memory time of the waveguide environment, a speed-up evolution can be achieved.In particular, we found that the quantum speedup is not entirely attributed to the non-Markovianity, but to the increase of the total amount of flow information.That is the intrinsic physical reason that the hierarchical environment may induce the speed-up process.Our results may open new perspectives for detecting quantum speedup in realistic environments.
The Use of Read, Cover, Remember, Retell (Rcrr) Strategy in Improving Students’ Reading Comprehension Ability

Reading is one of the important skills in English needed by the second language learner. The purpose of this study is to find out is there a significant difference on students’ reading comprehension through Read, Cover, Remember and Retell (RCRR) strategy. The population were VII grade students of SMPN 10 Cimahi. They were divided into two groups, the experimental and conventional group. The experimental group was taught using RCRR strategy while the conventional group was taught using conventional method. This study used quantitative research method and experimental design by using pre-test and post-test. The study was designed to find out the answer of the following questions: Are the students have same level of ability before the treatment? Is there a significant difference on students’ achievement in reading comprehension between the experimental and conventional group? What is the students’ response toward Read, Cover, Remember and Retell (RCRR) strategy?. The instrument used for this study is reading comprehension test and a questionnaire. The result of this study showed that there was a significant difference on students’ achievement in reading comprehension with mean score of pre-test was 40.27 and mean score of post-test was 73.47. The result of the questionnaire toward the students’ responses was 68% positive. It indicated that students had a positive response toward the RCRR strategy. Furthermore, the suggestion for the English teachers, it is recommended to use RCRR strategy to teach reading comprehension in their classes because it can improve the students’ reading comprehension ability.
Uji Akurasi Algoritma Bipolar Slope One dan BW-Mine pada Sistem Rekomendasi

The recommendation system is widely applied to various e-commerce. There are some problems that can cause the recommendation system to fail. This problem is about the massive vacuum of rating data (sparsity) and cold start. Therefore, the right recommendation method is needed to improve accuracy, so that the user can find the item according to desire.To achieve this goal, bipolar slope one is used to predict the rating. Bipolar slope one is used to predict the rating of an item. In predicting an item's rating, an item pattern is needed. This item pattern can be represented in the Assosiation Rule that found in the BW-Mine algorithm.The test was carried out with MAE involving 50 users of 200 items. The test results using MAE, obtained that sparsity has an influence on the accuracy of rating prediction generated in the recommendation system
Fraud Detection in Mobile Payment System using Machine Learning: A Comprehensive Survey

Due to ever increasing bulk of digital transactions nowadays there is also increase in fraudulent transactions. There is need to detect this fraud transactions in online digital payment system. This paper is aimed at providing an expensive literature review of journal article produced between 2009 to 2018 in the selected domain. We have classified the research papers based on the machine learning methods, accuracy level of the technology, year of publishing, etc. and analysed the results.
DETERMINAN TINGKAT PENERAPAN STANDAR NASIONAL PENDIDIKAN DI BERBAGAI JENJANG SEKOLAH

Abstract: “Determinants of the Level of Application of National Standards of Education in Various Schools”. National Education Standards (NES) are guidelines for managing education in schools. High quality schools, apply NES well. However, it is suspected that many schools lack serious implementation of SNP. Therefore, the achievement of the application of NES is not good. In other words it has a less standard status. This study aims to describe the determinants of the level of NES implementation at various levels of school. The research method uses descriptive studies. The research subjects were principals, teachers, administrative staff, school committees, and support staff in elementary, junior high, high school and vocational schools in the Lubuklinggau region, Musi Rawas, and North Musi Rawas. Data collection techniques are collected by interviews, observation, and documentation studies. Techniques for analyzing data with “descriptive statistics” and "flow analysis" on an ongoing basis. The results of the study show that the application of SNP at various levels of the school has different achievements from one school to another. It really depends on the resources and potential of the school that is owned. In general, almost all schools have not been able to apply the NES effectively. This is determined by two main factors, namely internal factors and external factors. Internal factors such as concern for school residents, availability of resources, and availability of budgets. External factors such as the support of school committees, parents, communities, government, and donors.Key words: National Education Standards, determinants, various schools