Reviewerly/exHarmony huggingface dataset:
Prospects of Participation of Scientific Institutions and Higher Education Institutions in Targeted Regional Programmes of Odesa Oblast in the Context of Economic Recovery

The article presents a generalising analysis of targeted regional programs of the Odesa region in the context of identifying direct participants in their implementation, analyses the data on the possible integration of the results of research work carried out by scientific institutions and higher education institutions (HEIs) within the regional target and comprehensive programmes of the region. The study was based on such information resources as regulatory legal acts of Ukraine, analytical materials of the State Statistics Service of Ukraine, Strategic and Programme Documents of the Odesa Regional Council, analytical data on the scientific activities of scientific institutions and higher education institutions of Odesa Oblast. According to the author, the post-war rehabilitation of the country is impossible without scientific, technical and innovative development, which is manifested in the practical application of scientific developments. Therefore, it is important to study the prospects of participation of scientific institutions and higher education institutions in the regional development programmes of the Odesa oblast in the context of economic recovery. It was found that the amount and share of funding for the activities of the programmes implemented with the participation of scientific institutions and higher education institutions of Odesa oblast are insignificant in the total funding of individual programmes. The article shows that the engagement of scientific institutions of the National Academy of Sciences of Ukraine (NAS of Ukraine) and higher education institutions of Odesa oblast in the realisation of the regional targeted and complex programs will allow optimising the costs of research works and avoiding double funding since most of the operations are carried out at the expense of state funding. Participation of scientific institutions in the process of development, elaboration and implementation of regional target programs will contribute to their credibility, will allow for detailed planning. This, in turn, will ensure effective implementation with the achievement of the set tasks and goals, thus influencing the development of the market, (including innovation infrastructure), integration of science, education, small and medium business and public authorities
Gas Turbine Model Identification Based on Online Sequential Regularization Extreme Learning Machine with a Forgetting Factor

Due to the advantages of high convergence accuracy, fast training speed, and good generalization performance, the extreme learning machine is widely used in model identification. However, a gas turbine is a complex nonlinear system, and its sampling data are often time-sensitive and have measurement noise. This article proposes an online sequential regularization extreme learning machine algorithm based on the forgetting factor (FOS_RELM) to improve gas turbine identification performance. The proposed FOS_RELM not only retains the advantages of the extreme learning machine algorithm but also enhances the learning effect by rapidly discarding obsolete data during the learning process and improves the anti-interference performance by using the regularization principle. A detailed performance comparison of the FOS_RELM with the extreme learning machine algorithm and regularized extreme learning machine algorithm is carried out in the model identification of a gas turbine. The results show that the FOS_RELM has higher accuracy and better robustness than the extreme learning machine algorithm and regularized extreme learning machine algorithm. All in all, the proposed algorithm provides a candidate technique for modeling actual gas turbine units.
Preschool Ethnocultural Education of the Udmurt Republic: Current State and Development Factors

The aim of the research is to present the specifics of the development of modern preschool ethnocultural education of the Udmurt Republic. The paper provides a detailed analysis of the results obtained during the monitoring study “The Current State and Dynamics of the Ethnolinguistic Situation in the Field of Education of the Udmurt Republic”, conducted in the Udmurt Republic in 2020. Scientific novelty of the research lies in identifying the factors contributing to the development of modern preschool ethnocultural education of the Udmurt Republic. As a result, the authors have analysed the ethnolinguistic situation in the Udmurt Republic on the basis of the monitoring study “The Current State and Dynamics of the Ethnolinguistic Situation in the Field of Education of the Udmurt Republic”, have identified and substantiated the factors contributing to the development of modern preschool ethnocultural education in the Udmurt Republic.
A SOCIOLINGUISTIC ANALYSIS OF GENDER ON ENGLISH USE AT THE THIRD GRADE OF MTSN 2 PALU

The students at the third grade of MTs N 2 Palu have different social context in their life. Since different students in different societies have distinct ways of life, and language to a considerable degree is influenced by culture. The factors above against this background that this study is carried out to examine how the differences in English use of men and women and at the third grade of MTs N 2 Palu. This research discusses about the differences between men and women in using English. Considering the purpose of the research and the nature of the problem, this research was a qualitative-research. To collect the data the researcher used observation, interview, and video recording. The result of this study shows that the difference between the students in using English is influenced by the social context especially in cultural aspect. When the students use English, the accent of each culture follows into their English. It also affects the intonations and accent when they use English. While, the differences between men and women. Women found it easier to adjust their accents and distinguish accents from the culture and accents of the English. While, man found it difficult. So, when using English men are often carried away with accents from their own culture.
Effects of English learning program for high school students to narrow the regional achievement gap in post-COVID era

The purpose of this study was to narrow the achievement gap between metropolitan and local regions in Korea. This gap has widened since the outbreak of COVID-19. As distance learning becomes prevalent after the COVID-19 pandemic, overall students’ level of academic achievement, particularly in the local region, has declined to a greater degree. To help students in Gangwon province improve their academic ability, a one-month online English grammar program was provided. Sixty-three high school students voluntarily attended. They watched an online video lecture three times a week (10 total) and took a quiz with 10 questions after each lecture. By comparing their scores achieved for 10 quizzes through SPSS and analyzing their responses to a survey questionnaire, their changes in English grammar proficiency and perceptions of the program were examined. These students showed statistically significant improvement in their English proficiency. They also expressed satisfaction with the online class content and its management. They additionally responded that online mentoring helped them reduce anxiety. The final golden bell contest urged them to feel a sense of achievement. Most students showed increased confidence and interest in English, indicating their continuous interest in English. Limitations and implications of this study are also presented
Development and systematization of the operating model of the NCS-based youth employment academy

In the era of the 4th industrial revolution, the concept of the workplace faded as the employment type was hired from regular workers to contract workers, and the job market was transformed into a job market where job skills were emphasized due to frequent turnover. In addition, the reality is that college graduates and prospective graduates are suffering from difficulties in finding a job due to social advancement and job mismatch. In this situation, the youth employment academy curriculum, which nurtures young talents required by industry, was helpful in many ways to provide an educational model. However, as the youth employment academy project was carried out, problems arose in the curriculum, operation process, and student recruitment. Therefore, this study aims to identify problems and improve the curriculum of the youth employment academy by conducting in-depth interviews with professors and staff in charge, as well as a learning satisfaction survey for students. Furthermore, it is intended to present examples of systematization and modularization of the NCS-based employment curriculum through self-directed learning satisfaction survey. Through this study, it is intended to contribute to the expansion and efficiency increase of the employment curriculum for humanities students, which will be newly designed in the future.
Internet of Things-Based Entrepreneurship Lockers

The development of the internet, which was originally only a medium of communication, is now more varied and sophisticated. An example of the development of the internet is Internet Of Things (IoT) , which in this study will discuss the implementation of IoT. As a form of pandemic recovery for IoT entrepreneurial activities, researchers developed lockers that can help entrepreneurial actors (especially on campus) to get up during the recovery period from the pandemic. The general concept of this locker is that the seller puts his merchandise into the locker and the buyer will pick it up by paying through QRIS. In other words, this locker provides convenience in transactions because it is done cashless. The design begins with making the work steps and logic flow of the locker which then makes the circuit scheme of the hardware. The hardware circuits used have their respective roles and support each other. This research hopes that with the IoT-based entrepreneurial lockers, it is expected not only to help partners / entrepreneurial actors on campus, but also attract new partners and encourage campus residents to dare to be entrepreneurs.
Application Of System Information &amp; Android Based Smart Display In Jewelery Stores

In general, medium-sized retail stores have started implementing information systems to optimize their business processes, even though the information system used is relatively simple. This is not the case with precious metal retail stores or often called jewelry stores. They are currently still using manual processes.
Gender-Based Choice of Politeness Strategies in Interviews by Desi Anwar with Queen of Denmark Margrethe II and President Erdogan

Politeness strategies are a crucial element in conversations. Choosing the appropriate politeness strategies would lead to a smooth talk between the Speaker (S) and the Hearer (H). Preferred politeness strategies are different among different racial groups and also genders. In the case of an interview, the interviewer needs to suit his/her choice of politeness strategies to the interviewee’s preference so that the interviewee would feel comfortable in answering the interview questions. Thus, this current study aims to (1) examine the politeness strategies used by Desi Anwar in the interviews with Queen of Denmark Margrethe II and President Erdogan; (2) examine whether or not the choices of politeness strategies follow the preferred politeness strategies for men and women. The research questions are 1) What politeness strategies are used by Desi Anwar in the interviews with Queen of Denmark Margrethe II and President Erdogan? (2) Do the choices of politeness strategies follow the preferred strategies for men and women? The findings show that in interviewing Queen Margrethe II, Desi Anwar used to notice H, including both S and H, seeking agreement, being optimistic, and giving compliments as the politeness sub-strategies; one of them, i.e., compliment, is in line with females’ preferred politeness sub-strategies. However, in interviewing President Erdogan, Desi Anwar does not give any politeness sub-strategies preferred by males. It shows that it is easier for Desi Anwar to choose the appropriate politeness sub-strategies when she has an interviewee of the same gender.
Desktop-Based Office Stationery Management Information System Using Visual Basic at the Rancaekek DTP Health Center, Bandung Regency

The management system at the Rancaekek DTP Health Center is still processed manually, so it is less effective and efficient. Officers are still experiencing difficulties in collecting data. The purpose of this research is to facilitate the management of office stationery. The result of this study is a desktop-based office stationery management information system application at the Rancaekek DTP Public Health Center in Bandung Regency. The data processing method in this study used qualitative and the waterfall software development method, with Analysis and Design tools using UML (Unified Modeling Language), language visual basic programming and Microsoft Access database. The developed application is informative. Login and password will ensure data confidentiality and an attractive interface. We hope this application can speed up the process of managing office stationery and reduce errors of using a manual system, so that reports can be properly accounted.
Comparative Analysis of Bitcoin, Stocks, and Gold Cryptocurrencies as Alternative Investment Portfolios

The purpose of this research is to find out and analyze the comparison of the performance of bitcoin cryptocurrency, stocks, and gold. The population in this study is the monthly closing price of bitcoin, LQ45 shares, and gold from January 2018 - December 2020, which is 252 datas. The sampling technique of this research is saturated samples. The analytical method used is the comparative method and the data used are secondary data. Data is calculated using the Microsoft Excel program based on the formula of each variable. The data was processed statistically using the SPSS application, the Kruskall-Wallis Test. The results of this study indicate that there is no significant difference between bitcoin, LQ45 stocks, and gold when measured from return and Jensen's performance measure. Then, there are significant differences between bitcoin, LQ45 stocks, and gold when measured from risk, Sharpe performance’s measure, and Treynor’s performance’s measure.&#x0D; Highlights:&#x0D; &#x0D; Bitcoin, stocks, and gold: Comparative performance analysis&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Highlighting the comparison of performance between bitcoin, LQ45 stocks, and gold.&#x0D; Investigating the differences in performance measures such as return, Jensen's measure, risk, Sharpe's measure, and Treynor's measure.&#x0D; &#x0D; &#x0D; Sample and analytical methods&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Utilizing saturated samples and secondary data for the study.&#x0D; Employing the Kruskall-Wallis Test to analyze the data statistically.&#x0D; &#x0D; &#x0D; Results: Performance similarities and differences&#x0D; &#x0D; &#x0D; No significant difference observed between bitcoin, LQ45 stocks, and gold in terms of return and Jensen's performance measure.&#x0D; Significant differences identified when considering risk, Sharpe's performance measure, and Treynor's performance measure among bitcoin, LQ45 stocks, and gold.&#x0D; &#x0D; &#x0D; &#x0D; Keywords: Bitcoin, LQ45 stocks, gold, performance comparison, Kruskall-Wallis Test
ACADEMIC PROCRASTINATION BEHAVIOUR ON LANGUAGE STUDENTS IN ENGLISH EDUCATION STUDY PROGRAM OF IAIM SINJAI

This research aims to discover the causes of the language learners of English Education study program in Islamic Institute of Muhammadiyah Sinjai procrastination behaviour. This research is categorized as a phenomenological research by using qualitative approach. The subject of this research is the students of English Education Study Program of IAI Muhammadiyah Sinjai. The techniques of data collection used are observation, interview, and documentation and the technique of data analysis is using Miles and Huberman theory. The result shows that the students are intended to do the academic procrastination behaviour which caused by: (1) delay in starting and completing task at hand, (2) delay in doing assignments, (3) time gap between planned and actual performance, and (4) doing other activities that are more fun than doing the task that must be done.&#x0D; Keywords: academic procrastination, language student, procrastination behaviour
CODE SWITCHING USED BY THE STUDENTS IN EFL CLASSROOM INTERACTION

This research aims at finding out the types of code-switching used by the students in the English as a foreign language classroom interaction. The research employed descriptive qualitative research design. The subjects were the students of English language education program. All of them used Papuan Malay language in their daily life but in class they used Indonesian language as mother tongue and English language as target language. The researcher findings that there are five types of code-switching that used by the students in EFL classroom interaction. Those Inter – sentential, Intra – sentential, and tag switching. For each type, the switch frequently used was as a clause, then as a word, and the last was as a sentence. They used them to clarify what they said because they tended to repeat or tried to translate the words again, and another reason was switching the words into the daily language was one of the ways to use to continue speaking. The impact of code-switching on TEFL was extremely beneficial since it may be utilized as a method or tactic in teaching English content, pushing students to talk, evaluating problems, and encouraging students to keep speaking in EFL classroom.
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks

Function approximation has enabled remarkable advances in applying reinforcement learning (RL) techniques in environments with high-dimensional inputs, such as images, in an end-to-end fashion, mapping such inputs directly to low-level control. Nevertheless, these have proved vulnerable to small adversarial input perturbations. A number of approaches for improving or certifying robustness of end-to-end RL to adversarial perturbations have emerged as a result, focusing on cumulative reward. However, what is often at stake in adversarial scenarios is the violation of fundamental properties, such as safety, rather than the overall reward that combines safety with efficiency. Moreover, properties such as safety can only be defined with respect to true state, rather than the high-dimensional raw inputs to end-to-end policies. To disentangle nominal efficiency and adversarial safety, we situate RL in deterministic partially-observable Markov decision processes (POMDPs) with the goal of maximizing cumulative reward subject to safety constraints. We then propose a partially-supervised reinforcement learning (PSRL) framework that takes advantage of an additional assumption that the true state of the POMDP is known at training time. We present the first approach for certifying safety of PSRL policies under adversarial input perturbations, and two adversarial training approaches that make direct use of PSRL. Our experiments demonstrate both the efficacy of the proposed approach for certifying safety in adversarial environments, and the value of the PSRL framework coupled with adversarial training in improving certified safety while preserving high nominal reward and high-quality predictions of true state.
Intellectual Mechanisms of Solving of Problematic Situations with a High Degree of Uncertainty

This chapter focuses on the problemProblem of psychological mechanismsMechanism, psychological of solving problematic situations with a high degree of uncertaintyUncertainty. We wanted to emphasize the value of this subject area, which is linked to the significant achievements in the development of artificial intelligenceIntelligence, artificial (AI) technologiesTechnology. Due to the latter, people are actually forced to revise their identity and search for something which only human being is capable of, in comparison to a robot. This chapter describes in detail the dialectical mental actionsAction, mental. Dialectical thinkingThinking, dialectical, being creative (not algorithm-driven), is an indisputable advantage for humanity. It allows the development of innovative economics, educationEducation, artsArt, humanitarian practicesPractice, and the application of new solutionsSolution. Intellectual mechanismsMechanism, intellectual will be thoroughly illustrated with examples from the engineeringEngineering area, painting, and literature. Moreover, this chapter describes the author’s custom toolkit for the diagnostics of intellectual mechanismsMechanism, intellectual required for solving problematic situations with a high degree of uncertaintyUncertainty. This toolkit can be used for such tasks as the diagnostics of different transformationTransformation strategies by adolescents and adultsAdult, as well as in the context of researchResearch of various aspects of creative thinkingThinking, creative when selecting a member of project and development teams in any professionalProfessional area.
Building Tools

In this chapter, you will explore all the building tools of Studio 2.0, as shown in Figure 2-1. Which will be very useful and helpful in building the LEGO models.
On Markov--up processes and their recurrence properties

A simple model of the new notion of "Markov up" processes is proposed; its positive recurrence and ergodic properties are shown under the appropriate conditions.
Sentiment Analysis of Sindhi News Articles using Deep Learning

Sindhi is an Indo-Aryan language that is spoken by 24 Million people around the globe. By analyzing the recently researched data one can find that this is the lowest researched language with regard to the computations of the digital era, lacking behind in most importantly the sentiment analysis technique of Natural Language Processing. The digitization of the world required this language to be analyzed for prediction and other purposes. Sindhi can be analyzed thoroughly through Sentiment Analysis and several Natural Language Processing models are contributing to making the languages more predictable. The insubstantial amount of text analysis of this language can be because of the complexity of this language. Hence, there is a need for this language to be analyzed more efficiently using extraordinary machine learning algorithms. This paper focuses on the major aims of analysis of the Sindhi language’s Newspaper Dataset ‘Awami Awaz’ using the very famous machine learning algorithm Bi-Directional Encoder Representation from Transformers (BERT). This model works in both directions and accepts 104 languages. This work also claims some challenges in analyzing the typical Sindhi language which is not a chunk of BERT’s multilingual 104 languages dataset. The problem is tackled by transliterating this language into English for achieving results. BERT, after translation through Google Translation API, secured 67.2% of accuracy. The hindrances can be overcome by adding the Sindhi vocabulary to BERT’s multilingual dataset.