Reviewerly/exHarmony huggingface dataset:
Una aproximación a un modelo de evaluación para la mediación lingüística en la enseñanza del español como lengua extranjera (ELE)

espanolLos recientes postulados teorico-metodologicos en el ambito de la didactica de las lenguas extranjeras apuntan a la mediacion linguistica como una “quinta destreza”. Se trata, pues, de una destreza integrada que hay que desarrollar en nuestros estudiantes al igual que las habilidades de recepcion y de produccion, si nos proponemos crear no solo hablantes linguisticamente competentes, sino tambien agentes sociales que sepan desenvolverse con soltura en varios contextos interculturales. En este articulo, pretendemos abordar la rentabilidad pedagogica de la mediacion linguistica en la ensenanza del espanol como lengua extranjera (ELE), aportando una contribucion a la hora de tener que evaluar una tarea de mediacion linguistica oral entre lenguas afines (espanol-italiano) en el ambito de la formacion secundaria y universitaria. Asi pues, tras proporcionar un marco teorico-metodologico en lo concerniente al desarrollo de la actividad de mediacion, elaboraremos un modelo idoneo para evaluar la actuacion del alumnado. EnglishRecent theoretical and methodological postulates in the field of foreign language teaching point to language mediation as a fifth skill. It is, therefore, an integrated skill that must be developed in students as well as reception and production skills, if we are to create not only linguistically competent speakers, but also social agents who know how to deal with in various intercultural contexts. In this paper, we intend to address the pedagogical effectiveness of linguistic mediation in the teaching of Spanish as a foreign language (ELE), making a contribution to the evaluation process of a task of oral linguistic mediation between related languages (Spanish-Italian) in the field of secondary and university education. Thus, after providing a theoretical and methodological framework regarding the development of the mediation activity, we will elaborate a suitable pattern to evaluate the student's performance.
Application of the Game's “Reliable Storyteller” Method to Improve the Speaking Skills of Students

This study aims to improve students' speaking skills by applying the game's reliable storyteller method. This type of research is action research. The subjects of the study were 21 students at SDN 006 Rambah. The research instrument used was an observation sheet and a performance test. The results showed that the activities of students in the first cycle were in the sufficient category and the second cycle was in the good category. Furthermore, student learning outcomes in speaking skills have increased from pre-cycle with 33% completeness and 64.00 class average, cycle I with completeness 47%and 72.15 class average, cycle II with 95% completeness and average the class average is 89.20. It was concluded that the game's reliable storytelling method could improve speaking skills in grade IV students at SDN 006 Rambah.
Thanatosensitive Design Exemplars for Embodied Experience of Nonattachment

This position paper highlights the less supported letting go aspect of the experience of loss and positions it within the HCI work on death and dying. It also argues for the value of embracing nonattachment and accepting impermanence and illustrate this with design exemplars piloted with 4 participants in Japan. Findings emphasize the value of the aesthetic, embodied experience to support the celebration of non-attachment.
Quantum Dialogue Based on Non-maximally Entangled Bell States

We propose a new quantum dialogue protocol based on non-maximally entangled Bell states. With single-qubit unitary operation, CNOT gate and the Positive Operator Valued Measure (POVM) technology, a quantum dialogue with certain capacity, can be implemented between two users Alice and Bob. This protocol firstly generalizes the quantum dialogue to a more general scenario which uses non-maximally entangled states as the quantum channel. Security analysis shows that our protocol can resist several well-known security issues. Moreover, it is simple and feasible with current techniques, and it demonstrates a good scalability.
A Research on the Teaching Practice of Task-based College English Writing Based on SPOC

Under the background of information technology, this essay has conducted a research on the practice of task-based college English writing based on SPOC (small private online course). This “Three in one” task-based writing teaching model has created a new model for teaching college English writing, which includes online network teaching, interactive feedback from offline teachers and peers, dynamic evaluation of teaching effect. This study aims at verifying the validity of the new teaching model. The research result has showed that this model has improved students’ writing ability, aroused their interest and promoted the development of their writing motivation、 writing strategies and writing competence, while at the same time enhanced students’ self-efficacy.
A Direct Self-adaptive Fuzzy Control System for a Single-Arm Manipulator

In A manipulator system is a highly nonlinear and strongly coupled multi-input and multi-output complex system. This makes it difficult to obtain a precise mathematical model of the manipulator system. In addition, the external influence factors of load variation, random disturbance and model uncertainties greatly increase the difficulty of trajectory tracking control. Therefore, this paper studies manipulator trajectory tracking control and makes full use of the advantages of a simple design, does not require a precise object model, and presents an easily acceptable and understandable control mechanism and strategy via a traditional fuzzy control method. In order to compensate for low control accuracy, an adaptive fuzzy controller is proposed for single-arm manipulator control, and the stability of the controller is proved by the Lyapunov function. According to the deviation between the actual system performance and the ideal performance, the controller can directly adjust the parameters of the controller and then make the output of the system track the ideal output closely. The traditional PID controller and adaptive fuzzy controller are used to simulate and analyze the high precision trajectory tracking control of the manipulator by use of MATLAB/Simulink, and the simulation results are compared. The results show that the trajectory tracking control accuracy of the adaptive fuzzy controller is higher than that of the traditional PID controller, and the steady-state error is smaller. The robustness, anti-interference ability and response speed of the adaptive fuzzy controller are high. The validity of the algorithm is verified.
Families of Discrete Circular Distributions with Some Novel Applications

Abstract We give a unified treatment of constructing families of circular discrete distributions. Some of these families are deduced from established distributions such as von Mises and wrapped Cauchy. Some others are derived directly such as a flexible family based on trigonometric sums and the circular location family. Results interrelating these families are discussed. These distributions have been motivated by two examples of discrete circular data: casino roulette spins and smart health acrophase monitoring, and these data are analyzed using our proposed models. We discuss how using continuous circular models for circular discrete data can be misleading.
A New Pairing-Based Scheme for Anonymous Communication System

Anonymous technology is a critical tool to preserve privacy. In some communication systems, users of one communication group want to verify that they are the legal members without exposing their identities. Some identity-based cryptographic solutions have been proposed for anonymous communications. However, these approaches assume that a centralized trust authority is in charge of the private key generation, so the communications are not anonymous to the trust authority. We present a pairing-based anonymous scheme to realize encryption/decryption, digital signature, key exchange, and key revocation solutions for communications system. In our scheme, users can self-choose their private keys and they can also prove that they are the legal members of one group. Our approach is simple and feasible and it can be applied to some anonymous services.
Universities of culture: current state, goals and objectives of development

The article presents the author's opinion on the current state of training in the universities of culture with the new social conditions and requirements stated in the documents of the modernization of education, as well as strategic goals and objectives for the development of culture in Russia. The relevance of the chosen topic is determined by the need to address the issues of training highly qualified personnel for the sphere of culture and arts, taking into account modern requirements for specialists, as well as the provisions of the "Fundamentals of cultural policy of the Russian Federation". There is a problem associated with determining ways to resolve the identified shortcomings in the process of cultural development in the country, which affects the preservation of cultural values in society and disrupts the process of transferring cultural heritage to the next generations. In this regard, it is possible to formulate the purpose of the article, which is to theoretically substantiate the current state of cultural universities that train specialists for the socio-cultural sphere and present a practical solution to the problems that have arisen. For research on the chosen topic, a set of research methods was used: theoretical analysis, synthesis, structural-functional, logical. Special attention is paid to the analysis of official documents on the development of culture in the Russian Federation, as well as to the review of the activities of universities of culture in Russia and creative foreign universities. As a result of the conducted research, the shortcomings that hinder the development of culture in the Russian Federation and regions, as well as possible ways to resolve existing problems, are identified. In addition, the practical experience of solving the goals and objectives outlined in the strategy for the development of culture is presented. Conclusions, generalizations are made and recommendations are given for solving the identified problems in the development of culture.
MACHINE LEARNING TECHNIQUES TO DETECT BREAST CANCER

Breast Cancer is one of the regular diseases in ladies as well as in scarcely any men. As indicated by explore, the death pace of females has expanded chiefly on account of Breast Cancer tumor. One out of each eight ladies and one out of each thousand men are determined to have breast malignancy. Breast cancer tumors are for the most part grouped into two kinds: Benign tumor which is a non-dangerous tumor and other one is harmful tumor which is a malignant tumor. So as to realize which kind of tumor a patient has; the exact and early conclusion is an extremely significant advance. ML calculations have been utilized to create and prepare the model for arrangement of the sort of tumor. For exact and better grouping a few characterization calculations in ML have been prepared and tried on the dataset that was gathered. As of now calculations like Naive Bayes, Random Forest, K-Nearest Neighbor and SVM demonstrated better precision for order of tumor. At the point when we executed Multilayer Perceptron (MLP) calculation it gave us the best precision levels among all both during training and testing. Mlp algorithm gave an accuracy of 97%. Along these lines, the specific arrangement utilizing this model will assist the specialists with diagnosing the sort of tumor in patients rapidly and precisely.
The Third Year Students’ Ability in Using Mechanics in Writing English Essay at the English Education Department of Bung Hatta University. Thesis. English Department, Bung Hatta University.

The purpose of this research was to describe the third year students’ ability in using mechanics in writing English essay at the English Education Department of Bung Hatta University.The population of this research was the third year students at the English Education Department of Bung Hatta University. To select the sample, the researcher used total sampling and the total of sample was twenty-four (24) students. The data were collected using writing essay test. The researcher used inter-rater method to know by the reliability of the test. The reliability coefficient of the test was 1.00. The result of this research showed that in general the third year students’ ability at the English Education Department of Bung Hatta University in writing English essay using mechanics was very good. It was proved by the research that 83% students had very good ability.In specific, the third year students’ wrtiting ability to express period was very good. It was proved by the finding that 100% students had very good ability. The third year students’ writing ability to use comma was very good. It was proved by the finding that 87% students had very high ability. The third year students’ ability to use capitalization was good. It was proved by the finding that 58% students had very high ability. The researcher concluded that the third year students’ ability in using mechanics in writing English essay at the English Education Department of Bung Hatta University was very good. It was supported by the result of data analysis that there were 20 (83%) students who had very good ability. The researcher recommended some suggestion as follows: 1) the students were expected to maintained their ability in writing essay especially in using period. 2) the students were expected to maintain their ability in writing essay in using comma and improve it. 3) the lecturers should explain how to use capitalization in writing essay correctly, and give them more practice to improve their ability in using capitalization. Keyword: Writing, Ability, Essay, Mechanics
A rule based streaming video segmentation using minimum spanning tree algorithm

Video segmentation is to partition a video into volumetric portions. It is relevant to a wide assortment of vision applications, such as activity acknowledgment, scene arrangement, video outline, content-based video recovery, and 3D remaking. The main objective of this method is to extract significant entities from a video. This video segmentation is classified into offline and online video segmentation algorithms. Compared to online video segmentation, offline video segmentation requires huge memory space. Nevertheless, the main challenge for video segmentation is to segment the online streaming video. However, one of the efficient streaming video segmentation algorithms is hierarchical segmentation algorithm. In this paper, an efficient Segmentation Approach for Streaming Videos Using a Rule with the Minimum Spanning Tree Algorithm is presented for further reducing the runtime and memory consumption. In this approach, each frame from the streaming video is modeled as a weighted graph. From the weighted graph, the minimum weighted hierarchical tree is formed by applying Kruskal's minimum spanning tree algorithm. Then the hierarchical segmentation is done by removing the inconsistent edges based on a rule. Performance of our proposed approach is compared with the existing work in terms of Boundary Precision-Recall (BPR) and Volume Precision-Recall (VPR).
Signal Processing with Stable Distributions

In many engineering problems, heavy tailed noise occurs in a variety of settings. In the engineering literature, this is referred to as impulsive or spiky noise.
General Security Concepts and Trends

In this chapter, we will review the goals of an information security program, and you will be introduced to the information security model, a three-dimensional model, which will be the foundation for learning the concepts of confidentiality, integrity, and availability.
Subject Guides: Education: E-BOOKS

This page will assist EDUCATION students finding the best possible information, quickly! Available e-books
The place and the role of media technologies in training of the future pre- and primary school teachers

article highlights the place and the role problems of technologies in future preschool and primary school teachers’ training. We disclosed the meanings of media education, media and other. authors review the works of M. McLuhan about the global character of information and environment, G. Gerbner's about the influence on human personality. “Concept of Implementation in Ukraine” have been analysed for the role and the place of in the preschool, primary and higher systems. We conducted a literacy survey among the students of Preschool education and Primary education speciality. It showed the sufficient level of students’ ICT readiness, and readiness to applie technology in the educational process, but it isn’t attention to destructive impact of aggressive environment to a child. It was suggested to integrate the educational into teachers’ training programs. Subject The methodology of forming mathematical elements shows for example using online tools (electronic resources) in the training of future teachers. We proved the necessity and relevancy role of technologies in future preschool and primary school teachers’ training.
ANALISIS STRATEGI PERANCANGAN SMART CAMPUS MENGGUNAKAN SWOT PADA PERGURUAN TINGGI SWASTA DI SURABAYA

ABSTRACTIn this study a SWOT analysis was conducted as a basis for making smart campus design strategies at private universities in Surabaya. This SWOT analysis considers the internal and external business environment. From the internal environmental conditions, the strength factor is +43 and the weakness factor is -22. While external conditions are obtained based on political, economic, social, and technological (PEST) conditions, the opportunity factor is +47 and the threat factor is -38. Based on these results, the quadrant position of the private university is in quadrant I. In this position, the institution uses all its strength and seizes as many opportunities as possible for the success of the smart campus design.Keyword: business environtment, information technology, PEST, smart campus, SWOT analysis
МІСЦЕ І РОЛЬ ПОЗААКАДЕМІЧНОЇ ОСВІТИ В ПРЕДМЕТНОМУ ПОЛІ ФІЛОСОФІЇ ОСВІТИ

Growing problem of inconsistency of the academic system of education with the new needs of society and individual, lack of existing structures of education contribute to the emergence of a different approach for the organization of educational activities, which is non-academic. As a philosophical phenomenon, it fully complies with the students' diverse interests and possibilities. Nonacademic education functions outside the academic education, free from strict rules and regulations, it focuses on specific educational requests of different social, professional, demographic groups.
Bootstrapping Web Archive Collections From Micro-Collections in Social Media

In a Web plagued by disappearing resources, Web archive collections provide a valuable means of preserving Web resources important to the study of past events. These archived collections start with seed URIs (Uniform Resource Identifiers) hand-selected by curators. Curators produce high quality seeds by removing non-relevant URIs and adding URIs from credible and authoritative sources, but this ability comes at a cost: it is time consuming to collect these seeds. The result of this is a shortage of curators, a lack of Web archive collections for various important news events, and a need for an automatic system for generating seeds. We investigate the problem of generating seed URIs automatically, and explore the state of the art in collection building and seed selection. Attempts toward generating seeds automatically have mostly relied on scraping Web or social media Search Engine Result Pages (SERPs). In this work, we introduce a novel source for generating seeds from URIs in the threaded conversations of social media posts created by single or multiple users. Users on social media sites routinely create and share narratives about news events consisting of hand-selected URIs of news stories, tweets, videos, etc. In this work, we call these posts Micro-collections, whether shared on Reddit or Twitter, and we consider them as an important source for seeds. This is because, the effort taken to create Micro-collections is an indication of editorial activity and a demonstration of domain expertise. Therefore, we propose a model for generating seeds from Micro-collections. We begin by introducing a simple vocabulary, called post class for describing social media posts across different platforms, and extract seeds from the Micro-collections post class. We further propose Quality Proxies for seeds by extending the idea of collection comparison to evaluation, and present our Micro-collection/Quality Proxy (MCQP) framework for bootstrapping Web archive collections from Micro-collections in social media.
Development of a computer training program in the history of computer science

The article reports on the development of a computer training program in the history of computer science, describes the stages and features of program implementation. Attention is drawn to the capabilities of the Delphi programming environment for the development of educational computer programs.
Transforming Data with R and Python

Power BI, R, and Python have in common that they are heavily used to ingest, transform, and prepare data. All three come with very helpful ways of achieving such tasks. You can use Power BI’s core functionalities to transform data either via the graphical interface or by writing M code, as you learned in Chapter 8 (“Creating Columns by Example”). In cases where you hit the limitations of Power Query, or when you already have a transformation written in R or Python, you can (re-)use them inside Power Query.
Knowledge-based semantic discretisation using data mining techniques

Certain data mining techniques can be applied only on discretised data. Various studies show significant improvement in certain data mining techniques, when applied on discretised data rather than continuous data. Discretisation methods based on statistical techniques are inadequate in capturing and exploiting the knowledge inherent in data and context of study. To overcome this limitation, we propose a novel knowledge-based semantic discretisation method using data mining techniques, in which discretisation is done based on semantic data. Semantic data is domain knowledge inherent in the data and context of the study. Unlike semantic data mining, no explicit ontology associated with the data for semantic discretisation. Therefore, it's a challenging task to identify, capture, interpret and exploit the semantic data for semantic discretisation. This study presents the novel concept of semantic discretisation. The effectiveness of the proposed methodology is shown by applying it on Pima Indian diabetes dataset.
Causality Analysis of Climate and Ecosystem Time Series

Identifying causal relationships among multiple variables and direction/strength of these causal links are key challenges in the analysis of complex dynamical systems. Statistical correlation and regression analysis have been important tools in understanding the relationships in social and environmental systems. However, these tools are not adequate to find stimulus–response mechanisms. Unlike medical or social systems, interventional experiments are not possible for real environmental systems to discover the causal links. Instead, the main focus of causality analysis is on the observational type of methods based on the data-driven approaches. The goal of this chapter is to review some common approaches of causality detection in the areas of climate and environmental science. Here, we focused on three classes of methods to demonstrate their application in the area and compare their performance on multiple generated and real-world time series.