Reviewerly/exHarmony huggingface dataset:
Preparation of rural school teachers to work in conditions of inclusive education

The problem of providing accessible and quality education for children with disabilities studying in rural schools is one of the main tasks of modern education. The need to include all children in the educational process, without exception, makes it relevant to discuss the problem of preparing teachers of rural secondary schools for the implementation of inclusive education. The author of the article examines the training of teachers on the example of one of the rural secondary schools of the Yaroslavl region. The article is presented from the standpoint of the implementation of the requirements for the labor function «Pedagogical activities for the design and implementation of basic general educational programs and adapted general educational programs». It is based on the professional standard «Teacher (pedagogical activity in preschool, primary, general, basic general, secondary general education) (educator, teacher)”. The article actualizes the competencies of teaching staff, which need to be formed to ensure inclusive education, it determines the priority areas of training teachers of rural schools to work in the inclusive educational process: normative; motivational – value; cognitive; procedural – technological; professional and competence. The author describes the components of training teachers of rural schools in the Yaroslavl region to work in inclusive classes: the possibility of mastering special defectological programs of different levels (higher education and master's degree); the possibility of obtaining additional professional education in the form of professional retraining or course improvement of qualifications; internships on the basis of leading inclusive educational organizations; participation in training events at various levels; activities as part of the problem group of the laboratory «Pedagogy of the rural school» of the Scientific Center of the Russian Academy of Education at the YaSPU named after K. D. Ushinsky, participation in implementing innovative projects at the municipal and regional levels.
Simultaneous Forward-Backward Prony Estimation

Power system dynamic stability can be evaluated through the analysis of transient oscillations that occur following significant system events.One of the earliest methods for this type of study is Prony analysis, which estimates the system's electromechanical modes.While previous studies have highlighted advantages of performing Prony analysis on data in the forward and backward directions, the proposed method does so simultaneously.As a result, signal poles corresponding to electromechanical modes can be distinguished from spurious poles more reliably.The method also produces a single mode estimate, where independent application in the forward and backward directions would produce two estimates for each mode.The method is validated using simulated and measured power system data.
The Important Role of Global State for Multi-Agent Reinforcement Learning

Environmental information plays an important role in deep reinforcement learning (DRL). However, many algorithms do not pay much attention to environmental information. In multi-agent reinforcement learning decision-making, because agents need to make decisions combined with the information of other agents in the environment, this makes the environmental information more important. To prove the importance of environmental information, we added environmental information to the algorithm. We evaluated many algorithms on a challenging set of StarCraft II micromanagement tasks. Compared with the original algorithm, the standard deviation (except for the VDN algorithm) was smaller than that of the original algorithm, which shows that our algorithm has better stability. The average score of our algorithm was higher than that of the original algorithm (except for VDN and COMA), which shows that our work significantly outperforms existing multi-agent RL methods.
CORRELATION BETWEEN INTERPERSONAL INTELLIGENCE AND LEARNING MOTIVATION TO FIFTH GRADE STUDENTS OF PUBLIC ELEMENTARY SCHOOLS IN KEBUMEN SUB-DISTRICT IN ACADEMIC YEAR OF 2020/2021

&lt;p&gt;&lt;em&gt;Learning is a need. Learning factors consist of intrinsic and extrinsic. Interpersonal intelligence and learning motivation are part of intrinsic factors. The study aimed to analyze and measure the contribution of interpersonal intelligence and learning motivation to fifth grade students of public elementary schools in Kebumen Sub-district in academic year of 2020/2021.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;It was correlational quantitative method. The samples were 329 fifth grade students in twelve public elementary schools throughout the Kebumen Sub-district. Sampling method was cluster sampling. Data analysis used simple correlation test (significance level of 5%) and the determinant coefficient with the help of SPSS 21 Version.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;The results indicated that there is a positive correlation between interpersonal intelligence. It was strong correlation (r count 0.618 &amp;gt; r table 0.18) and significance was 0.000&amp;lt;0.05. The determinant coefficient was 38%&lt;/em&gt;&lt;em&gt;, &lt;/em&gt;&lt;em&gt;it meant Interpersonal intelligence contributed 38% on learning motivation and the remaining 62% was influenced by other factors.&lt;/em&gt;&lt;/p&gt;
Model Selection For Forecasting Rainfall Dataset

The objective of this research is to obtain the best method for forecasting rainfall in the Wonorejo reservoir in Surabaya. Time series and causal approaches using statistical methods and machine learning will be compared to forecast rainfall. Time series regression (TSR), autoregressive integrated moving average (ARIMA), linear regression (LR), and transfer function (TF) are used as a statistical method. Feedforward neural network (FFNN) and deep feed-forward neural network (DFFNN) is used as a machine learning method. Statistical methods are used to capture linear patterns, whereas the machine learning method is used to capture nonlinear patterns. Data about hourly rainfall in the Wonorejo reservoir is used as a case study. The data has a seasonal pattern, i.e. monthly seasonality. Based on the cross-validation and information criteria, the results showed that DFFNN using the time series approach has a more accurate forecast than other methods. In general, machine learning methods have better accuracy than statistical methods. Furthermore, additional information is obtained, through this research the parameter that best to make a neural network model is known. Moreover, these results are also not in line with the results of M3 and M4 competition, i.e. more complex methods do not necessarily produce better forecasts than simpler methods.
INTERPRETATION OF A MUSICAL WORK AS A MEANS OF DEVELOPING ARTISTRY IN THE PROCESS OF MUSICAL AND ARTISTIC EDUCATION OF FUTURE MUSIC TEACHERS

Artistry plays an important role in the pedagogical activity of any teacher, but it is of particular importance in the activity of a music teacher, since it is the most important professional quality of the personality of a teacher-musician. Pedagogical artistry, as is well known, consists of an external factor (intonation, diction, expressiveness, musicality, gestures, plasticity, etc.), which is developed through vocal art, and an internal one (spirituality, creative and musical-pedagogical thinking, imagination, etc.), associated with performing skills. Work on the interpretation of the work — improving the vocal technique, competent reading of the musical text, compliance with all the author's remarks, creating a musical and artistic image as a whole, is one of the main components of the formation of artistry. The teacher's artistry presupposes his creativity, creativity, and the ability to navigate in any situation, so the actual pedagogical task is the formation of artistic singing skills in the process of musical and artistic education of future music teachers.
Digital Transformation and Ecosystem of Smart Pillows

This paper discusses how smart pillows relate to and benefit from digital platforms and ecosystems.With increasing demand for products that improve quality of life, many firms are focusing on products that improve the quality of our sleep.Modern digital technologies make it possible to expand the functionalities of sleep products and offer new smart features that can help people sleep better.These new digital features are possible because of two advances driven by modern digital technologies.The first is about tapping new kinds of data through technologies like sensors.And the second concerns digital ecosystems, or networks of data generators and recipients possible because of the exponential rise of the Internet of Things (IoT).This paper highlights how these advances apply to the specific case of smart pillows.
A Tutorial-oriented Approach to ARGESIM Benchmark C11 ‘SCARA Robot’ in MATLAB, Simulink and Stateflow

This Educational Benchmark Note presents a tutorial-oriented approach to 'ARGESIM Benchmark C11 SCARA Robot', an SNE Student Note compiled by master students of Mechanical Engineering.Students have described for students necessary state space models for the SCARA robot, and algorithmic preparations for implementation in MATLAB and Simulink, including proper state limitations.Furthermore, for collision handling of the robot movement, benefits of a state automata-based implementation in Stateflow is given.The simulations compare explicit and implicit model versions and efficiency of different ODE solvers, and present a basic animation.
THE IMPLEMENTATION OF THE EFFECTIVE STRATEGY FOR PRACTICING EXTEMPORANEOUS SPEECH STYLE IN PUBLIC SPEAKING

This research deals with public speaking class, especially in extemporaneous speech. The purpose of the research was to find out how was the effective strategy for practicing an impromptu speech in public speaking. The researcher applied a qualitative research approach. The technique of data collection was note-taking by collected data on books and journals. The data were analyzed using data reduction, data display, and drawing the conclusion. The results revealed that there are some effective strategies for practicing extemporaneous speech in public speaking. The introduction of the speech started from greeting the god, getting the attention and interest of the audience started by a familiar quote, telling a personal story to illustrate speech point, and revealing the topic to the audience. Strategies explaining the body of speech were to have a card note. It is used to write the point of the speech presents the main points and sub-points in the body of the speech. Establish eye contact with the audience into speaker opening words, vocal and visual gestures in perform, and make sure the speech has the desired impact on the audience, testimony quotes from expert statements to support the conversation. Then, strategies concluding the speech began the conclusion with a restatement of the speaker's message by using positive words to the audience, praise and thanks to the audience, closing with an entertaining sentence or anecdote, chant rhymes, and chant rhymes and short poems.
IoT in modern web development

In recent years, the IoT space has grown tremendously. Today, many IoT devices that previously existed only as a theoretical concept are now readily available on the market. In addition, significant achievements are available in the field of web development. The latest front-end technologies such as React, Angular, and Node.js have matured and become quite understandable. There are many open source IoT platforms to bring technology to life and link IoT and web development. Building web applications using the Internet of Things requires not only additional tools, but also high qualifications and related technical skills. Developers must be prepared not only for the implementation of web projects, but also for the implementation of IoT projects. As a conclusion, we can get that companies will encourage developers to enter the IoT field in order to get a larger share of the profit. This article analyzes the development of modern web applications for IoT devices. The study found that by increasing the performance that the IoT ecosystem provides, you can get a fairly high level of savings. In one of its articles, Wired described one of the most important IoT issues. It is a concept in which not all devices need to be connected to the Internet. Each device should only collect and exchange data if it is really needed. A specific purpose, based on customer utility, may be the only reason the device connects to the Internet [9]. When it comes to the Internet of Things in manufacturing, embedded sensors can improve efficiency and significantly reduce material manufacturing costs. For example, a company called Concrete Sensors uses a device integrated in concrete to monitor the condition of a material. His innovation saves customers approximately $365,000 per floor for an investment of only $30,000. Either way, connected devices need an endpoint that will retrieve, process, and display data. Mobile apps are now mainly used as endpoints for streaming music, entertaining users, or to help them interact with their friends via social media. However, mobile apps can also act as a gateway [10].
Analysis of dynamic model based on pedestrian’s abnormal posture

It is significant to detect abnormal postures of pedestrians in the crowd to crowd stability control. This study locates the joint points of pedestrians based on the pose estimation algorithm OpenPose. After the analysis of 18 nodes and six body parts, the sudden value of node acceleration is obtained, which is compared with the acceleration of the pedestrian’s centre of mass. When there is at least one difference in the direction or acceleration value of the two, it means that the pedestrian has abnormal behaviour. Furthermore, this study analyses the result of comparing the change of z-coordinate value in pedestrian movement with 20% of pedestrian height. These two judgment methods together constitute the dynamic criterion of pedestrian abnormal posture, and judge whether the pedestrian has abnormal behaviour. Compared with the previous dynamic analysis of pedestrian abnormal posture, the accuracy of abnormal posture judgment is improved. This provides a theoretical basis for crowd stability analysis.
Application of blended teaching in public elective courses of design class

The development of education informatization has brought opportunities for teaching reform in colleges and universities, but there are still some shortcomings when applied to public elective courses (PEC). The Blended Teaching mode that combines the advantages of MOOC and SPOC teaching provides a new exploration for improving the teaching effect of public elective courses. This article relies on the “Everybody Loves Design” MOOC national boutique online open course of Chinese universities, and applies the Blended Teaching model to the teaching of “Industrial Design History” course, a PEC in Z colleges and universities. A teaching model including the selection of course teaching platform and teaching resources, teaching implementation, teaching effect evaluation, teaching reflection, etc was constructed. The results show that this model has a positive effect on improving students’ learning interest, learning autonomy and learning effect.
THE INFLUENCE OF SELF-CONCEPT AND LEARNING MOTIVATION ON SKILL OF LISTENING TO THE ENGLISH NARRATIVE

&lt;p&gt;This research aims to understand: 1) The effect of self-concept and learning motivation in English narrative listening skills, 2) self-concept towards English reading, 3) The effect of learning motivation towards English narrative listening skills. The method used in this research is a survey using correlational and regression analysis techniques. The population in this research was 1015 students. The sample in this research was 100 students. The study results conclude that: 1) There was a significant effect of self-concept and learning motivation towards English narrative listening skills. Sig can prove that 0,000 &amp;lt;0.05 and Fcount = 20.325. 2) There was a significant effect of self-concept towards English narrative listening skills. The Sig proves that 0.002 &amp;lt;0.05 and tcount = 3.246. 3) There was a significant effect of learning motivation towards English narrative listening skills. The Sig proves 0,000 &amp;lt;0.05 and tcount = 4,617.&lt;br /&gt;Keywords: self-concept, learning motivation, English narrative listening skill&lt;/p&gt;
Business Activities Using Chatbots

In this article, we present a short introduction about chatbots and we describe two original chatbot solutions used in education and tourism.In the first part of the article, we describe the life cycle of a chatbot, presenting the steps needed for its development.We continue with the enumeration and description of the design techniques that developers are using in making the chatbots.The article also presents the architecture of two original chatbot solutions, the design methods and techniques used in their development and implementation and the usefulness and benefits of these two models.Moreover, possible future improvements of these chatbots for having an increased performance are presented.As a conclusion, we highlight the concern of business people for the use of chatbots in any field of activity and the progress that economic activity registers through their use.
Reading culture development with optimizing digital library services during the pandemic

This study aims to analyze the quality of the implementation of a digital library based on the Senayan library management system (SLiMS) application system to increase student reading interest in the MI Nurul Islam Bululawang Malang school library, starting from the quality of the system and constraints in the implementation process.The subject of this research is the librarian of the MI Nurul Islam school library, and the object of this research is the SLiMS application system.This research uses descriptive research with a qualitative approach.From the results of this study, it can be concluded that the MI Nurul Islam school library, in implementing digital libraries to support the development of student reading interest, has constraints on human resources, information and communication technology infrastructure in the implementation process of SLiMS-based digital libraries.
The Role of Teachers in Intercultural Language Teaching

This paper analyzes relevant theory about intercultural language learning, the teacher's role in developing critical intercultural pedagogy and changes recommended in intercultural language teaching. In the end, it concludes that the role of teachers is crucial.
Comparative Study on Different Word Embedding Techniques

Recent advancements in distributional semantics allow a word to be represented in a multi-dimensional semantic space as vectors.Words that are semantically and syntactically similar are closer in value.Popular methods to generate such embeddings include neural networks, reduction of word-to-word co-occurrence matrices, contextual representation and so on.Most embedding techniques are based upon the distributional hypothesis which states that words in the same context are semantically similar and hence can be broadly classified into count based methods and predictive methods.Word embeddings are quite popular in the field of Natural Language Processing in addition to other fields such as text mining, Sentiment analysis, Information Retrieval, Polarity Detection and so on.This paper aims to make a comprehensive study on the different word embedding techniques available.
Towards Code-Mixed Hinglish Dialogue Generation

Code-mixed language plays a crucial role in communication in multilingual societies.Though the recent growth of web users has greatly boosted the use of such mixed languages, the current generation of dialog systems is primarily monolingual.This increase in usage of code-mixed language has prompted dialog systems in a similar language.We present our work in Code-Mixed Dialog Generation, an unexplored task in code-mixed languages, generating utterances in code-mixed language rather than a single language that is more often just English.We present a new synthetic corpus in code-mix for dialogs, CM-DailyDialog, by converting an existing English-only dialog corpus to a mixed Hindi-English corpus.We then propose a baseline approach where we show the effectiveness of using mBART like multilingual sequence-to-sequence transformers for codemixed dialog generation.Our best performing dialog models can conduct coherent conversations in Hindi-English mixed language as evaluated by human and automatic metrics setting new benchmarks for the Code-Mixed Dialog Generation task.
Assessing the crypto resistance to the destructive effect of "viewing transmitted data" in the case of quantum computers

In this paper, we evaluate the crypto resistance of known cryptographic methods and methods based on the use of noise-like signals, similar in properties to "limited" white noise and used to spread spectrum of transmitted messages, to the destructive effect of "viewing transmitted data" (decipher), based on the search of code structures (brute force), in the case of quantum computers. It’s established that the required value of the number of code structures (key space), taking into account the constantly improving and developing computing power of quantum computers, for the next few years should be considered a value of 1032 of the number of code structures (key space) and higher, providing crypto resistance for a minimum of 3 years. It’s shown that the Grover algorithm is similar to the destructive effect of "viewing transmitted data" (decipher), based on a complete search of all code structures (brute force) using modern super- computers. It’s established that well-known symmetric cryptographic methods can potentially be used in the post-quantum era and methods based on noise-like signals potentially, provided they are detected and aware of the methods underlying them (without knowledge of the key), cannot be applied in the post-quantum era. According to the authors, a promising approach in the post-quantum era for information security issues is the use of chaotic signals.
When Ludruk Meets Wayang: Development of A Competition-Based Learning System Between Javanese Language Classes at SMKN 3 Malang

The development of local culture-based learning is needed to support meaningful learning.Festival or competition-based learning systems are expected to increase the frequency of the learning process, enrich learning materials, and create a flexible and fun learning environment.The purpose of this study was to determine the implementation of festival-based learning in Javanese language subjects at SMK Negeri 3 Malang.The type of research applied is research and development.This research consists of three stages, namely a conceptual model, a hypothetical model, and an empirical model.The hypothetical model was tested on a small group scale to obtain an empirical model and an empirical model was tested in the field to obtain a festival-based learning model.The results showed that competition-based learning was considered good.This can be seen from several aspects of whether or not it is applied in SMK N 3 Malang, its application is a fun learning model, both in terms of readiness and supporting factors.competition-based learning can be recommended as a local culture-based learning model equipped with guided outreach and training.