Reviewerly/exHarmony huggingface dataset:
On the individual students’ work management via e-learning environment

The paper presents the results of the experiment on the extracurricular individual students’ work based on web-support of learning activities. The issue relevance is contingent with reduction of the teaching load for regular students. The following methods of the academic research are applied: theoretical (analysis of scientific literature, generalisation of educational experience), empiric (lesson observation, a pedagogic experiment, questionnaires, tests, conversation) and statistical (determination of average values, scaling). A survey has been done among the first-year studentsbeing on the technical training programme at Novosibirsk State Technical University and studying mathematical analysis via the DiSpace 2.0 e-learning system. The use of the electronic educational-methodical complex for the support of extracurricular individual students’ learning activities has proved to increase motivation, interest in studies, and the level of acquired competence.
Design and Implementation of Teaching Quality Evaluation System Based on SpringBoot

In order to enhance the integration, standardization and network of teaching quality evaluation, SWPU (Southwest Petroleum University) proposes teaching quality evaluation system based on SpringBoot as a part of smart campus construction. This system adopts the B/S structure to design the system function module and system database.In addition, it utilizes the IDEA tool management project, which enables a normative and consistent way to integrate the information resources, such as personnel system and educational administration system. As such, the system realizes sharing data and ensures practicability and scalability.
Spatially Accurate Generative Music with AR Drawing

Recent experiments in semi-automatically generating ambient music have yielded emotionally affecting results, leading scientists and musicians alike to develop and experiment with computational systems for creating audible art with varying degrees of success. Most of these systems are based either in analogue technology such as classic tape-reel recording systems or digital systems like virtual synthesizers triggered by a combination of developer-defined values and random number generation. In this paper, I outline the conceptual reasoning behind and development of one such generative music system which uses a simple but versatile virtual synthesizer to generate sound and sequences of repeating randomly generated notes drawn by the user in augmented reality to formulate the patterns and spatial origin of each sound contributing to the entire generative piece.
Normalization Modifications for Fast Self-Quotient Image Method

Fast Self-Quotient Image (FSQI) method, which was introduced by the present authors in 2018, is a modification of Self-Quotient Image (SQI) method introduced by Haitao Wang, Stan Z. Li et al. in 2004. The main difference between these methods is that FSQI method uses circularly shifted Gaussian kernel instead of locally weighted Gaussian filter kernel used in the original SQI method. This allows increasing computation performance of FSQI and improving lighting normalization quality, especially in very dark shadow regions. However, the recognition quality after the lighting normalization using FSQI is not perfect and still require improvements. In this paper, we introduce two modifications of the normalization step for FSQI and compare their quality with the original FSQI method.
The Relationship Between TOEFL Anxiety and TOEFL Performance Among EFL Learners

The research was conducted to explore the correlation between TOEFL anxiety and TOEFL test performances among University students.This study was applied quantitative and using cross sectional approach.The population of this study was entirely students of Universitas Muhammadiyah Kalimantan Timur (UMKT).The data was taken from the last year student of UMKT who joined TOEFL Test as their graduation requirement.The test was specified in aspect of their English Proficiency (TEP).To gain the sample, the researcher used stratified sampling.The total of last year student was 583 students.Sampling was measured by using Slovin Formula by using 0.05 margin of error.The univariate and bivariate analyzes was conducted in this study.It was gained from the demographic data which contained age and gender.The result indicated that the low result of HARS has high score of TOEFL otherwise the high result of HARS raised low score of TOEFL using two tailed correlation.In other hand, there was a correlation among anxiety and total score of TOEFL.The result indicated that the correlation between anxiety by using HARS and total TOEFL score were had high correlation coefficient among it.It was gained.749.
IxaMed at PharmacoNER Challenge 2019

The aim of this paper is to present our approach (IxaMed) on the PharmacoNER 2019 task.The task consists of identifying chemical, drug, and gene/protein mentions from clinical case studies written in Spanish.The evaluation of the task is divided in two scenarios: one corresponding to the detection of named entities and one corresponding to the indexation of named entities that have been previously identified.In order to identify named entities we have made use of a Bi-LSTM with a CRF on top in combination with different types of word embeddings.We have achieved our best result (86.81 F-Score) combining pretrained word embeddings of Wikipedia and Electronic Health Records (50M words) with contextual string embeddings of Wikipedia and Electronic Health Records.On the other hand, for the indexation of the named entities we have used the Levenshtein distance obtaining a 85.34 F-Score as our best result.
Correlation and probability theory

The previous chapter gives a basic understanding of statistics, and this chapter continues with discussions on three very important statistical principles: correlation and regression, the sampling theory, and the probability theory.
Hybrid spin-superconducting quantum circuit mediated by deterministically prepared entangled photonic states

In hybrid quantum systems, a controllable coupling can be obtained by mediating the interactions with dynamically introduced photons. We propose a hybrid quantum architecture consisting of two nitrogen vacancy center ensembles coupled to a tunable flux qubit, which is contained on the transmission line of a multimode nonlinear superconducting coplanar waveguide resonator with an appended Josephson mixing device. We discuss the use of entangled propagating microwaves photons, which through our nonlinear wave-mixing procedure are made into macroscopically distinct quantum states. We use these states to steer the system and show that, with further amplification, we can create a similar photonic state, which has a more distinct reduction of its uncertainty. Furthermore, we show that all of this leads to a lengthened coherence time, a reasonable fidelity that decays to 0.94 and then later increases upward to stabilize at 0.6, as well as a strengthened entanglement.
Weighing the Benefits of IEEE Membership for Young Professionals

As former Student Members of the IEEE, the Executive Committee of the IEEE Young Professionals Portugal affinity group is well aware of the benefits that the IEEE offers to students: guidance, technical and soft skills training, and camaraderie, among many others. We want to focus on the benefits the IEEE brings to young professionals (YPs) like us. Some aspects don?t matter as much now that we're no longer students, and some issues become more important now than they were back in college.
The Formation of Foresight Competence as a Factor in Improving the Quality of Teacher Training

The article deals with the problem of forming the ability of a student teacher to foresee and shape his or her pedagogical career, providing not only short-term goals, but also a foresight in pedagogical activity. The relevance of the research is caused by the fact that it is necessary to form new teacher competencies demanded by educational transformations, which leads to a change in the content of the subject, psychological, educational and methodological training of future teachers. The novelty of the research is seen in the fact that the wording of new teacher competence is proposed: foresight competency as an integrative multi-level personality-professional education, which determines the students’ ability and readiness to predict their professional future as a research-reflexive activity to transform their own professional activities. The purpose of the article is to present a structurally functional model of the development of prospective teachers’ foresight competence and the results of the experimental work. The experimental work on the deployment of a foresight competency model in the process of studying modules of the educational program (basic and variable), on modeling the subject and social content of future professional activity is described. It is proved that by means of adequate pedagogical technology in educational modules the development from competencies provided by the basic professional educational program to professionally focused meta-competence, foresight competence, is achieved.
Survey of part-of-speech tagger for mixed-code Indian and foreign language used in social media

&lt;p&gt;Part-Of-Speech Tagger (POS Tagger) is a tool that scans the text in specific language and allocates chunks of speech to individual word (and another token), such as verb, adjective, nown etc., as more fine-grained POS tags are used in computational applications like 'noun-plural'. Basically, the goal of a POS tagger is to allocate linguistic (mostly grammatical) information to sub-sentential units, called tokens as well as to words and symbols (e.g. punctuation). This paper presents a survey of POS Tagger used for code-Mixed Indian and Foreign languages. Various methods, procedures, and features required to device POS Tagger for code-mixed foreign languages especially for Indian are studied and observations related to it are reported.&lt;/p&gt;
Using Antconc Software As English Learning Media: The Students’ Perception

The use of techonology for a method in learning is rapidly developed and effect the students’ learning process. This research is aimed to find out about the perception of college students about a learning method of English by using a software named AntConc. The data were collected through questionnaires divided into pre-questionnaire and post-questionnaire. Pre questionnaire was about students’ perception towards AntConc software itself and the post questionnaire was about students’ perception using the software. The respondents were 51 students of Engineering Department, Politeknik Negeri Jakarta.. This research shows that Antconc software can be an alternative method to enhance students learning of English by using some tools on its software.
Classification of single epochs in Event Related Potentials

In the concept of this thesis, single trial event related potential measurements were classified. Classification performances of Decision Trees, logistic regression, random forest, Support Vector Machines and XGBoost methods are evaluated. In this context, EEG was collected during the presentation of two different stimulus. The resulting feature set is given as an input to decision trees, logistic regression, random forest, support vector machines, and xgboost classifiers. Due to the limited test data obtained, synthetic Minority oversampling technique(SMOTE) was applied to the data and classification was performed with the updated dataset. As a result of the study, 91% accuracy was obtained for the training dataset in random forest and XGBoost classification methods. For the test set xgboost_tuned has a 62% accuracy and 71% F1 value. To conclude, superior results were found from other classifiers using the xgboost classification method.
APSIOLOGICAL APPROACH IN DOMESTIC PEDAGOGICAL SCIENCE AND PRACTICE: HISTORICAL AND PEDAGOGICAL RETROSPECTIVE

In the article actualized the valuable vision of mechanisms of transfer of social experience from generation to generation by educational means; Civilizational realities (breakdown of connections between generations, imbalance of values systems, uncertainty of spiritual orientations of youth) are found out as one of the problems of modern professional training; emphasized the importance of solving these problems on the basis of interdisciplinary synthesis and methodological and theoretical potential axiological scientific approach. A retrospective historical and pedagogical analysis of a number of researches of domestic scientists of the XIX – early. XXI centuries, dealing with the issues of the axiological nature of education and the appropriate preparation of school youth and students (P. Kapterev, G. Vashchenko, O. Vishnevsky, S. Hessen, M. Boguslavsky, V. Ginetsky, B. Bitinas, S. Goncharenko, M. Romanenko, O. Sukhomlynskaya, etc.) who made a significant contribution to the development of the content of educational values, the identification of their structure and offered their original classifications of these samples of human culture.It is proved that the problems of high school modern scholars and teachers-practitioners on the basis of the historical retrospective of the axiological views and methodological achievements of domestic researchers of past years consider elimination of a number of contradictions in the value orientations of students, the formation of a stable interest in those values of their future activities that carry humanistic content , provide as a basis for vocational training the unity of personal and professional development, the ability to create and broadcast systems of relevant values with All my students and colleagues. It is the axiological approach that enables, based on historical retrospective, to make an objective analysis of the leading trends in the development of modern society, and in light of this rethink the priority for today's education task, to determine the value priorities, which, on the one hand, must be consistent with the dominant at the present stage of development society values humanistic orientation, and on the other – to meet the specifics of vocational training, to ensure its orientation to the search and implementation in practice of the optimal ways of transmitting to each individual the actual social and individual values.
Weighted Image Averaging Based Anisotropic Diffusion Denoising Method for Ultrasound Thyroid Image

Thyroid disease is a frequent occurrence in clinical practice and the computerized analysis of ultrasonography has been becoming the most prospective tool for thyroid disease automatic diagnosis. However, the accuracy of vision-based diagnostic analysis is often reduced because the quality of ultrasound image is easily corrupted by the speckle noise. Thus, noise suppression is imperative and significant for the thyroid ultrasonography image preprocessing to increase the reliability of subsequent analysis. In this paper, we propose a novel weighted image averaging method based on anisotropic diffusion filters combination to remove speckle noise and enhance the details of the image at the same time. The method first denoises the image separately by two filters with different performances. The speckle reducing anisotropic diffusion filter can enhance the details of the image, and the anisotropic diffusion filter can better suppress the speckle noise in the image. In order to integrate the advantages of the two filters and reduce the mutual interference meanwhile, an adaptive weighted image averaging method is further proposed to combine the pixels of the two denoised images. The experimental results indicate that the proposed method can achieve promising performance on the template images with various noise levels by considering PSNR and SSIM. What's more, it is not only superior to other methods in automatic segmentation, but also can obtain better visual effect for thyroid images.
New Horizons of Internationalisation through E-learning: Developing Teacher Digital Competence

The European programmes and strategies to internationalise higher education are considered to be important stimulators and facilitators for the internationalisation of higher education in Europe and elsewhere in the world including Russia.With the Bologna process, the internationalisation of higher education in Russia has been taken to the national level.According to the National Program Education Development for 2013-2020, the internationalisation of higher education is considered as a means to improve the quality of higher education.The present article contains theoretical and practical results of the research, which fall into three parts.In the first part the authors systematise the issue of internationalisation by giving an overview.The paper focuses on the policies of internationalisation and the rationale of the internationalisation for Russian Universities which gleam in the growing importance of national and international rankings especially for evaluation of quality teaching and competitiveness of universities.The second part focuses on E-learning as particular aspect of internationalisation.The authors present the historic perspective of digital learning and dwell upon numerous initiatives on the digital revolution.The third part proves that professional development is an essential element of teacher education and professional advancement.Such a continuous learning and training assures a high level of knowledge and enables teachers to keep their professional skills and knowledge up-to-date.All three parts of the study are logically interconnected and serve the main objective of the research to prove that such processes as Internationalisation has considerable effect on developing Teacher Digital Competence.
Identification features of the minutes of interrogation and ways of authorship examination

Forensic authorship analysis is a frequently used technique to identify the real author of an arguable document. Often enough, under study are interrogation minutes. This kind of text is difficult for examination because of its stylistic and genre characteristics: formal phrases and structure as well as different author and compiler of the document. The above features restrict the use of some levels of language analysis. This issue, however, is poorly covered in specialist literature, with only a few articles related to it. The current paper describes the main discursive features of interrogation minutes used in authorship expertise. First we look at conventional techniques of authorship expertise and discuss their limitations. Special attention is given to the analysis of the interrogation minutes genre characteristics and their influence on the whole set of identifiers. The analysis of several conventional interrogation minutes techniques singled out two central tendencies in the authorship attribution: an identification features selection with new identifiers being added. The aim of the article is to propose a solution to the problem. Our technique is based on the methods of The Federal Ministry of the Interior, but it also takes into account genre charecteristics of the interrogation minutes. A new classification of identifiers has been developed. Additional features are offered to improve the attribution accuracy. These are clarifications, which are classified according to the semantic type of the object. In the article clarifications are divided into six types and a few subtypes and are also divided into low and high informative ones. The analysis of clarification is illustrated with the example of three different interrogation minutes. The concluding part of the article is concerned with the techniques of the interrogation minutes used in authorship expertise description, materials requirements and the steps of the analysis.
Comparative Study of Social and Professional Values of Modern Teachers with Various Pedagogical Experience (the Case of Russia and Belarus)

The paper investigated the changing system of values and value orientations of teachers belonging to different generations and cultures in the context of variability in globalization processes. The paper is aimed to identify cross-cultural features of social-professional values and value orientations of Russian and Belarusian teachers divided into three groups in compliance with their pedagogical experience and phases of professional development (from 0 to 5 years - a young teacher, from 6 to 20 years - a teacher - professional, and in case of more than 20 years - a teacher - expert). The leading research methods are questionnaires, experiment and comparison. Student's t-test, concordance coefficient and correlation analyses were applied to conduct statistical processing of research results. The study recruited 118 Russian secondary school teachers in the Republic of Tatarstan and 160 teachers of Brest region in the Republic of Belarus. It has been revealed that the value sphere of Belarusian teachers throughout their professional development is less subject to change in comparison with Russian teachers. We found out that both in Russian and Belarusian samples, teachers with various teaching experience mostly implement spiritual and moral values. Russian and Belarusian teachers are focused on displaying their decency throughout their professional career. Health and Happy Family Life refer to key values of teachers in two cultures regardless of the length of their professional experience. The structure of value sphere in Russian and Belarusian teachers with different teaching experience has its own specificity. Obtained results enabled to determine promising areas of highly qualified teachers’ training and retraining for work in modern multicultural educational systems.
Gaze-Controlled Turkish Virtual Keyboard Application with Webcam

In this study, an easy-to-use and inexpensive system aimed at solving the communication needs of people with disabilities such as ALS by writing with their eyes was introduced. The performance of the system are measured by writing speed (word per minutes) and error rate. The system consists of a webcam that fixed in front of the eye with a plastic eyeglass, and a computer. On the keyboard proposed in this study, the characters to be typed are placed at 22 discrete points which can be detected without error. 16 characters which are most used in Turkish (total %85 usage rate), can be selected with a single gaze. Other characters can be selected with gazing these points with a dwell time. The iris circle on the image recorded by the camera is found according to the Hough transform and the position of the center coordinates of the eye is classified by using the k-nearest neighbor algorithm from the machine learning methods and the character to be written is determined. In order to select the letters at the gaze points, the letter that is highlighted by the software in voice and color is moved to the writing area in the middle of the screen by eye. As a result of the first experiments, it has been observed that the system developed allows the average of 6.63 words per minute (approximately 33 letters) to be written with an error rate of 0.86%.