Reviewerly/exHarmony huggingface dataset:
Digital Literacy Development Through New Technologies for Measuring and Data Mining

The article is dedicated to the problematic of using new technologies at high schools and during the preparation of future teachers.It is focused on using thermometric measurements in various fields of technics.The main emphasis is placed on forming the measuring methodology and the data mining application.A special set for thermometric measurements is developed for the didactic application.The set respects the newest teaching methodologies.
The third all-Russia scientific and practical conference "Culture and Art in Modern Educational Medium" in Kostroma State University

The article highlights the significant scientific and cultural event of the beginning of 2019, which took place at the Institute of Culture and Arts of Kostroma State University: The 3rd All-Russia Scientific and Practical Conference "Culture and Art in Modern Educational Medium". The aim of the conference included the exchange of advanced educational experience and modern scientific information in the field of culture and art, a regional exhibition of creative work of pedagogues of educational organisations was opened at the museum of the Institute of Culture and Arts of Kostroma University. The presentation of the documentary film "Sergei Rachmaninoff and Aleksandr P. Konovalov: crossroads of the same fate", which was presented by its founder, Professor Yevgeniy Borzov from the City of Ivanovo, Russia, was a significant cultural event of the conference. Such scientific event will contribute to the further development of value and theoretical systems in the implementation of the culturological model of education in Kostroma’s leading university, preserving the cultural heritage of Russia, thebest traditions of Russian performing and art schools, and passing the creative and pedagogic experience on to the new generation.
Underwater Pure Orientation Target Tracking Based on Adaptive Box Length KLD PF Algorithm

Aiming at the characteristics of underwater pure orientation target tracking, an adaptive box length Kullback-Leibler Distance (KLD) Particle Filter (PF) algorithm is proposed based on traditional adaptive KLD PF algorithm. When performing underwater pure orientation target tracking, the traditional adaptive KLD sampling may have a problem that the filtering accuracy is reduced or even invalid due to the fixed length of the KLD box. In the algorithm proposed in this paper, the length of the KLD box can be automatically adjusted according to the current particle distribution range, which can well solve the problem of precision degradation caused by the fixed KLD box length of the traditional adaptive KLD algorithm. The effectiveness of the adaptive box length KLD PF algorithm is verified by comparison with the traditional KLD PF algorithm in simulation. In this simulation, the adaptive box length KLD PF algorithm can effectively adapt to the changing environment of underwater tracking and has good tracking performance.
Analysis and Comparison of Bitcoin and S and P 500 Market Features Using HMMs and HSMMs †

We implement hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs) on Bitcoin/US dollar (BTC/USD) with the aim of market phase detection. We make analogous comparisons to Standard and Poor’s 500 (S and P 500), a benchmark traditional stock index and a protagonist of several studies in finance. Popular labels given to market phases are “bull”, “bear”, “correction”, and “rally”. In the first part, we fit HMMs and HSMMs and look at the evolution of hidden state parameters and state persistence parameters over time to ensure that states are correctly classified in terms of market phase labels. We conclude that our modelling approaches yield positive results in both BTC/USD and the S and P 500, and both are best modelled via four-state HSMMs. However, the two assets show different regime volatility and persistence patterns—BTC/USD has volatile bull and bear states and generally weak state persistence, while the S and P 500 shows lower volatility on the bull states and stronger state persistence. In the second part, we put our models to the test of detecting different market phases by devising investment strategies that aim to be more profitable on unseen data in comparison to a buy-and-hold approach. In both cases, for select investment strategies, four-state HSMMs are also the most profitable and significantly outperform the buy-and-hold strategy.
The Contribution of Self-Concept and Parental Support towards Learning Motivation of The Students who were Expelled from Their Previous Schools

Underlying this present study was the importance of increasing the learning motivation of students who were expelled from previous schools. Self-concept and parental support were considered as the factors affecting learning motivation of the students who were expelled from previous schools. The aimed of this study was to reveal the contribution of self-concept and parental support towards the learning motivation of the students who were expelled from their previous schools. This study used a descriptive correlation-quantitative method. The population of the study were the 11th and 12th grade students in Sungai Penuh City, which numbered 2666 in total. The samples of the study were 62 students, taken by purposive sampling technique, namely students who were expelled from the previous schools. The instrument used was a Likert scale. The research findings showed that self-concept and parental support respectively and simultaneously had a significant contribution to the learning motivation of the students who were expelled from their previous school.
MYANIMACH – Aplikasi Mobile Untuk Membantu Binatang Yang Diabaikan

Currently, there is no specific platform to manage the adoption process for stray animals in Indonesia. This paper describes the design of a Mobile Application created to address this issue in Jakarta, named myAnimach. This app allows strays and potential adopters to meet their needs easier. myAnimach provides a user-friendly, generic user interface to help them find the strays that meet their criteria or make a post about strays in their neighborhood. Users who want to adopt or offer animals to be adopted can log in or create an account on myAnimach. If the user is interested in becoming an adopter, they need to fill the adoption form. There are several stages in the adoption process. The completion of all the stages will result in an issuance of an adoption letter from myAnimach. Aside from adopting animals, users can also look for adopters for their animals by filling out the upload form on the mobile application.
Image Texture Detection and Extraction based on Entropy and Eigenvectors of growing seeds

Texture determination, segmentation and extraction is always a field of research and development at image processing and computer vision science. Since there are no clear and general definitions of texture, all known is that texture depends on local pixels gray levels with respect to their spatial position. There has been quite some efforts put on this topic but nearly all of the presented techniques are either very complicated and requiring too much computations, not covering all textures presented in scene or need supervision and databases for training. At this paper a new approach is presented which is completely unsupervised, rapid and adoptable to increase efficiency and accuracy. It also needs no training sequences or databases and can be utilized to identify objects as texture components. The presented approach acquires texture identification features with respect to image areas entropies and basic neighborhoods eigenvectors. After re-defining these parameters for all possible pixel divisions at the image segments with optimal size with respect to the image geometries, certain or random points are chosen as texture seeds and grown up until new additions vary the segment’s entropy dramatically. After this the set of largest grown and separately located areas are introduced in sequence as discovered texture segments. Furthermore different variations of this method can be developed for different functionality properties.
Maximisation of Quantum Correlations under Local Filtering Operations

Nonclassical correlations are a key resource to explore foundational quantum information tasks and find applications in device-independent protocols. Quantum steering was formalized in 2007 [1] and is distinct from other nonclassical correlations such as Bell nonlocality [2] and entanglement. Steering describes the effect of a local measurement on one system and affecting the measurement results on the other system. This can be visualized for two-qubit states using quantum steering ellipsoids (QSE), which is the set of Bloch vectors that Alice can collapse Bob's state to. They are theoretically well studied [3–6] and have been recently experimentally demonstrated [7].
The Love and Belonging Needs Character in The Girl on The Trains Novel

This research aims to understand what needs that Rachel Watson as the main character in The Girl on the Train novel is trying to fulfill by riding the train every day and how she fulfills her safety and the love and belonging needs using Abraham Maslow’s hierarchy of human needs. Before studying the needs, the writer analyzes the main character’s character and characterization. This research is using qualitative method and descriptive analysis to analyze the love and belonging needs and esteem needs of the main character. The result of this research is Rachel Watson as the main character has some noticeable characters such as imaginative, alcoholic, and liar. She fulfills her safety needs by killing her ex-husband and fulfills her love and belonging needs by trying to seek attention from her ex-husband, Tom Watson and from Scott Hipwell. Rachel fails to have the love from both Tom and Scott but finally she realizes that she is always loved by her friend, Cathy. Rachel successfully satisfies her needs until the third stage of the hierarchy: love and belonging needs.
Vertical Data Processing for Mining Big Data: A Predicate Tree Approach

Time is a critical factor in processing a very large volume of data a.k.a ‘Big Data’. Many existing data mining algorithms (supervised and unsupervised) become futile because of the ubiquitous use of horizontal processing i.e. row-by-row processing of stored data. Processing time for big data is further exacerbated by its high dimensionality (# of features) and high cardinality (# of records). To address this processing-time issue, we proposed a vertical approach with predicate trees (pTree). Our approach structures data into columns of bit slices, which range from few to hundreds and are processed vertically i.e. column by column. We tested and compared our vertical approach to traditional (horizontal) approach using three basic Boolean operations namely addition, subtraction and multiplication with 10 data sizes. The length of data size ranged from half a billion bits to 5 billion bits. The results are analyzed w.r.t processing speed time and speed gain for both the approaches. The result shows that our vertical approach outperformed the traditional approach for all Boolean operations (add, subtract and multiply) across all data sizes and results in speed-gain between 24% to 96%. We concluded from our results that our approach being in data-mining ready format is best suited to apply to operations involving complex computations in big data application to achieve significant speed gain.
Path Planning of Multipoint Region Attraction RRT* Algorithm in Complex Environment

In recent years, Rapidly-exploring Random Trees, as a fast searching method, has been widely studied in the field of path planning, while RRT* algorithm, as an improved RRTs algorithm, has attracted much attention because it can realize the progressive optimal solution of path planning. However, there are still some problems to be solved, such as low convergence rate, low path utilization rate and unsmooth path. In this paper, a multipoint region attraction RRT* (Mra-RRT*) algorithm is proposed to solve the above problems. Firstly, the convergence rate is accelerated by using the multipoint region attraction strategy. Secondly, the path storage function is realized in this paper. Before generating the new path, it is possible to query and call part of the stored path, which greatly improves the path utilization and search time efficiency. Finally, the path smooth processing is sovled by using cubic spline interpolation, which makes the change of path points more gentle and easy to apply to the actual situation. Simulation results show that the algorithm is effective in two-dimensional and three-dimensional complex obstacle spaces.
Multi-bit Homomorphic Arithmetic Logic Unit based on nuFHE

Aiming at the problem that the existing homomorphic encryption algorithm does not provide an arithmetic unit, a parallel multi-bit operation model is designed and implemented. Based on the GPU-accelerated CGGI scheme, common logic circuits such as multi-bit adder, multiplier, encoder and decoder for homomorphic encryption are designed and implemented. By calling the basic gate operation in the nuFHE homomorphic algorithm library, the homomorphic logic operation function is programmed and numerical experiments are carried out. The results show that the model improves the efficiency of the homomorphic adder, multiplier, encoder and decoder and demonstrates the validity of the model.
The quest for interpretable and responsible artificial intelligence

Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applications in computational biology, finance, law and robotics. However, such a highly positive impact is coupled with significant challenges: how do we understand the decisions suggested by these systems in order that we can trust them? How can they be held accountable for those decisions?
프로젝트기반 학습이 헤어미용 수업에 미치는 효과

In this paper due to the demand of improvement in university education, teaching methods are changing from simply information conveyance to student centered problem identifying and solving. Thus to identify the educational effect of creative project based learning method, hairdressing classes were held to clarify the changes on critical thinking disposition, key competency, learning satisfaction in beauty classes, and project based learning. The participants were 24 beauty-science students who took the integrated beauty practicum in the first semester on 2018. Data analysis involved paired t-test and one group pre test-post test with the SPSS 21.0 program. The result clarified a positive effect on critical thinking disposition(t=-3.438, p<.01) after using the creative project based learning method and was statistically significant. There were significant increase in the key competency(t=-3.992, p<.001), learning satisfaction in beauty-science classes(t=-11.519, p<.001) and satisfaction of project based learning(M=4.58, SD=5.00). Therefore, the effect of project based learning method used in hairdressing subjects was verified and indicates significance in increasing competency of the beauty department university students. And the application of project based learning method is effective to improve students' learning attitude and self-directed learning ability, therefore, it is also worth to try in beauty teaching.
Media Weblog sebagai Sumber Belajar Bahasa Inggris pada Matakuliah Perhotelan Di Prodi Pendidikan Bahasa Inggris IKIP Budi Utomo Malang

Mastering English actively will make us easy in a business and communicate with people from any country, and able to master all the knowledge we absorb like by socializing with anyone and wherever we are. And one of the most profound fields of English skills is English for hospitality known as the English for hotels. It is very clear why hospitality is so related to English. In modern era, the use of technology can be used for the learning process. Such a phenomenon leads students to be able to learn English wherever and whenever they want to have a discussion or read to get the information they want. This study contains the development of Hospitality material in the form of a weblog for students of English Language Education, IKIP Budi Utomo Malang. The researcher developed material based on a development model developed by Borg and Gall (1983). Borg and Gall (1983). Data from this study will be analyzed qualitatively. In each unit there are sub-sub topics or sub-units with reading skills, writing, listening and speaking. There are also some exercises to practice speaking in the form of dialogue and answering questions based on descriptions that can develop student’s vocabulary for speaking English. The final product is designed as attractive as possible by presenting images and colors that can make students interested. The results of interviews from students are that they like the hospitality class and they can learn wherever and whenever they want to read, because they can easily access material through cell phones. Students are very enthusiastic about learning English for hotels because at the moment the hospitality business is very rapidly developing
Professional readiness of the head of an educational organisation for management activities

This article is devoted to the consideration of the problem of professional readiness of the head of an educational organisation for management activities. The analysis of the works of Russian researchers devoted to the analysis of management features in the education system, the definition of the concept of "professional readiness" on the basis of which, the composition of requirements for manager's professional readiness is revealed, defines the semantic and substantive characteristics of the professional readiness of an educational organisation leader for management activities in terms ofdeontological and regulatory aspects. According to the results of the study, it was established that in the conditions of modern realities, professional readiness for managerial activity is the leading personal property of a manager, allowing him to respond to changes occurring both inside the educational system and outside its functional space, ensuring the quality of professional and educational actuals.
Towards Decoupling Computation in BSP Communication

Abstract: In recent times, the Bulk Synchronous Parallel (BSP) model, which splits the underlying running programs into multiple super-steps, has gain popularity in distributed graph processing systems. However, a high number of message and data exchange in each super-step will create a long epoch of time, often called as network overhead or communication delays. In this paper, we add an additional step in the synchronization phase through decoupling the synchronization into local and global synchronization. This approach moves some of the data and messages exchanged over the network to locally optimized pointers for the next super-step. We prototyped the proposed system and the preliminary evaluation shows decoupled mechanism outperforms baseline system on the average. The system helps eliminate the unnecessary communication between the instances and localize some of the DAG nodes for the next super-step.
On the Impact of (Il)literacy on L2 Italian Acquisition of Unaccompanied Foreign Minors

The aim of the paper is to analyse the interlanguage of L2 Italian learners with the same L1 but different levels of education.The learners belong to the "unaccompanied foreign minorsˮ category, whose linguistic profile is characterised by the frequent coexistence of a multilingual ability and a very low, or zero, level of education.Focusing on the acquisition of verb inflectional morphology and on phraseological units as well, the comparison of learners' varieties aims to show that several differences depend on the only parameter that differentiates them, namely literacy vs. illiteracy in L1.
Location recommendation by combining geographical, categorical, and social preferences with location popularity

ABSTRACT Location recommendation could not only increase location visibility, but free users from information overload dilemma. We propose a novel location recommendation method, which first exploits geographical proximity of locations and check‐in history of users' friends to measure geographical preference and social preference respectively, and innovatively estimates categorical preference by calculating semantic similarity between location tags based on category hierarchy. Then, all of three preferences are integrated, and location popularity is introduced as a coefficient to determine the priority of locations to be recommended. The preliminary result on a publicly available real‐word dataset shows that the proposed method significantly outperforms two state‐of‐the‐art baselines. This study expands the methods of location correlation measurement, and can meet user's personalized information needs.
HERITAGE – KEY LINE OF CONCEPT-BASED DEVELOPMENT OF EDUCATIONAL ACTIVITIES OF A MUSEUM

Е. А. Полякова, доктор исторических наук, доцент
Lexicographic Criteria for Selecting Multiword Units for MT Lexicons

A basic assumption in bilingual lexicography and machine translation (MT) is that the linguistic units of one language correspond to those of another language.But even in close language pairs, such as Spanish and English, there are numerous exceptions, while in some language pairs, such as English and Japanese, cross-linguistic lexical anisomorphism is so great that it becomes literally impossible to map certain words and phrases across these languages.This is especially true of linguistic units that consists of multiple components, or multiword units (MWUs).The recognition and accurate translation of MWUs play a critical role in enhancing the quality of machine translation [9].In spite of the recent advances in MT based on neural networks (NMT), MWUs still present major challenges to MT technology.This paper discusses the fundamental principles for identifying and selecting MWUs for inclusion in bilingual dictionaries, both for humans and for MT systems (MT lexicons).It attempts to define the various subtypes of MWU based on lexicographic principles derived from extensive experience in bilingual lexicography, especially the compilation of a large-scale full-form lexicon for Spanish-English MT.It also introduces some large-scale resources designed to significantly enhance the translation accuracy of multiword proper nouns.
Principles of systematisation of customer's psychological issues in reflexive psychological advice

The post-non-classical paradigm allows exploring the client's psychological problems in a new way. The article reveals two basic principles underlying the development of a typology of client problems in reflexive psychological counselling. The psychological problem is a complex formation that is poorly structured in a formal-logical framework. In this regard, a holistic approach is the most adequate. Holistic consideration of the problem is based on two basic principles. The principle of dynamic equilibrium allows distinguishing three states of a psychological problem and the degree of its extremes in relation to each other. The "nesting doll" principle allows analysing the interrelatedness of various psychological problems among themselves. Based on this principle, there are three main and two additional levels of development of problems. Transition of one problem from one level to another fills it with new content and gives new meaning.
A multisource communication gateway and An advanced visualization interface for maritime surveillance systems based on the inter-VTS Exchange Format Service

3 diginext, training, transport & security department/situational Awareness systems