Reviewerly/exHarmony huggingface dataset:
THE ORGANIZATIONAL AND PEDAGOGICAL CONDITIONS FOR ENSURING CONTINUITY OF PROFESSIONAL TRAINING OF FUTURE PRIMARY GRADES TEACHERS’ IN THE «COLLEGE-UNIVERSITY» SYSTEM

The author of the article has examined the interpretation of the concept of «organizational and pedagogical conditions», separated their separate groups.The organizational and pedagogical conditions for ensuring continuity in the professional training of future primary school teachers in the «college-university» system have been defined and substantiated, namely: the implementation of a praxeological approach to the organization of the educational process in the «college-university» system; usage of interactive learning technologies in the training of future primary school teachers; ensuring continuity in the «college-university» system when training future primary school teachers.The basis of the justification of the first condition has been the opinion that in order to ensure the implementation of praxeological principles, it is necessary to ensure: clarity, specificity, interest, accessibility, reality of the educational goal not only for the teacher, but also for students; sufficient usage of time for solving tasks and carrying out substantive actions by students; the complexity of the tasks, which corresponds to the scope of the immediate development of future specialists; activity intensity; adequacy of methods, means and organizational forms of training to the setting goals; the usage of various forms of independent work, their gradual complication; creating a favorable atmosphere during training.The basis for choosing the second condition was the fact that interactive teaching methods allow solving the following tasks in a complex: to form students' interest in the discipline being studied; to increase the effectiveness of the process of understanding, assimilation and creative application of knowledge; to develop intellectual independence; to teach to respect the opinion of other team members, to show tolerance to any point of view; develop leadership skills.The third condition was chosen because the main factor in ensuring continuity is the creation of successive connections and pedagogical systems of an educational institution or bordering educational institutions.Thus, the main meaning of the example is that when transitioning from one stage to another, the main components and methods of organization are preserved in the education system, while the connections between the past, present and future are preserved.These connections ensure the combination of new forms of organization and methods with the old ones.
Design and analysis of automatic press fitting and detection system

In order to complete the automatic press-fitting and detecting process on the assembly line of the enterprise, a rapid press-fitting and detection assembly line is proposed. According to enterprise requirements and working conditions, the structure of the entire automatic press-fitting and detecting device is designed through SolidWorks, and the structural scheme and working principle of key mechanisms are analyzed. The static analysis and kinematic simulation analysis are carried out on the key parts of the conveying-reversing mechanism in the device. The results show that the assembly line can realize automatic press-assembly and detecting process, and can arrange the products of middle cover and explosionproof plug from loose state to orderly state, carry out press-fitting and detect the press-assembly effect, and finally distribute the good products. The key components in the conveying-reversing mechanism can meet the strength requirements, and the handling process is relatively stable, which verifies the feasibility of the scheme and provides reference for the overall scheme design of the assembly line.
Natural Language Processing Application on Commit Messages: A Case Study on HEP Software

Version Control and Source Code Management Systems, such as GitHub, contain a large amount of unstructured historical information of software projects. Recent studies have introduced Natural Language Processing (NLP) to help software engineers retrieve information from a very large collection of unstructured data. In this study, we have extended our previous study by increasing our datasets and machine learning and clustering techniques. We have followed a complex methodology made up of various steps. Starting from the raw commit messages we have employed NLP techniques to build a structured database. We have extracted their main features and used them as input of different clustering algorithms. Once each entry was labelled, we applied supervised machine learning techniques to build a prediction and classification model. We have developed a machine learning-based model to automatically classify commit messages of a software project. Our model exploits a ground-truth dataset that includes commit messages obtained from various GitHub projects belonging to the High Energy Physics context. The contribution of this paper is two-fold: it proposes a ground-truth database and it provides a machine learning prediction model that automatically identifies the more change-prone areas of code. Our model has obtained a very high average accuracy (0.9590), precision (0.9448), recall (0.9382), and F1-score (0.9360).
Auto-Learning Correlation-Filter-Based Target State Estimation for Real-Time UAV Tracking

Most existing tracking methods based on discriminative correlation filters (DCFs) update the tracker every frame with a fixed learning rate. However, constantly adjusting the tracker can hardly handle the fickle target appearance in UAV tracking (e.g., undergoing partial occlusion, illumination variation, or deformation). To mitigate this, we propose a novel auto-learning correlation filter for UAV tracking, which fully exploits valuable information behind response maps for adaptive feedback updating. Concretely, we first introduce a principled target state estimation (TSE) criterion to reveal the confidence level of the tracking results. We suggest an auto-learning strategy with the TSE metric to update the tracker with adaptive learning rates. Based on the target state estimation, we further developed an innovative lost-and-found strategy to recognize and handle temporal target missing. Finally, we incorporated the TSE regularization term into the DCF objective function, which by alternating optimization iterations can efficiently solve without much computational cost. Extensive experiments on four widely-used UAV benchmarks have demonstrated the superiority of the proposed method compared to both DCF and deep-based trackers. Notably, ALCF achieved state-of-the-art performance on several benchmarks while running over 50 FPS on a single CPU. Code will be released soon.
The Effect of the Montessori Method Aided by Picture Media on Beginning Reading Ability

The purpose of this study was to determine the effect of the Montessori method with the aid of picture media on the ability to read early. This study uses quasi-experimental design research in the form of a non-equivalent control group design. The population is all second-grade students of SD Inpres Tmannyeleng, Barombong District, Gowa Regency for the 2021/2022 academic year. The sampling technique used purposive sampling, with a sample of 28 students in the experimental class and 27 students in the control class. The data analysis technique in this study used the paired sample t-test. The results showed that there was a significant effect of the application of the Montessori method with the aid of picture media on the early reading ability.
The Effect of Reading Comprehension and Language Attitudes on the Summary Writing Skills of Class IV Students

The study aims to determine the effect of reading comprehension skills and language attitudes on the summary writing skills of fourth grade students at SD Negerei Panaikang 2 Makassar. The type of research used was descriptive quantitative with ex post facto design. The population in this study were all fourth grade students of SD Negeri Panaikang 2 Makassar as many as 80 students. Sampling was done randomly so that a sample of 30 grade IV students of SD Negeri Panaikang 2 Makassar was obtained. The data were analyzed by using the SPSS application to perform normality test data, multicollinearity test, heteroxidity test, partial t test, and simultaneous F test. The result of the study obtained an average value of reading comprehension ability which was 76.83. Regarding the language attitudes, students got an average value of 78.6933. The students summary writing skills got an average score of 74.19. In the inferential statistical test of the sig. value, the ability of reading comprehension on summary writing skills was 0,001 &lt; 0,05 and language attitudes towards summary writing skills was 0,040 &lt; 0,05, showing that the X1 variable had an effect on the variable and the X2 variable had an effect on Y. The result of the simultaneous F test resulted in a significant value of 0,000 &lt; 0,05 stating that the ability of reading comprehension and language attitudes had a significant effect on the summary writing skills of fourth grade students at State Elementary School Panaikang 2 Makassar.
ASSESSMENT EFFECTIVENESS ANALYSIS SYSTEM USING G-FORM WITH TAM METHOD AT SD GALATIA3 JAKARTA BARAT

In late December 2019 it took the world by storm by transmitting very quickly through the human respiratory tract. Since this happened the World Health Organization (WHO) has stated that Covid-19 is called a pandemic. The Covid-19 outbreak affects almost all aspects of life, including the aspect of education in Indonesia, which is also not spared from the Covid-19 outbreak and also feels the consequences of the spread of the virus. Students feel the impact of the spread of Covid-19 such as changes in the provision of services in educational institutions, such as formal education at all levels, non-formal education, to academics (Baety and Munandar 2021). Based on the announcement of the Ministry of Education and Culture Number 4 of 2020 concerning the Implementation of Education Policies during the Emergency Period of the Spread of the Coronavirus (Covid-19). The government began to implement an online learning system (online). The problem that arises during this online learning period is that there are still many people who are not ready to face technology, both in terms of teachers and students, this happened in the early days of the pandemic. So that the learning process that has been carried out normally, both in terms of teaching and providing assessments, also experiences obstacles. This is because the teaching staff (teachers) always have daily assessment data that is usually carried out daily during normal learning. However, during this PJJ period, teachers became confused about giving daily assessments to their students. The purpose of the research is to analyze and evaluate the online learning system using a platform that is easy to operate by teachers and can be accessed anywhere, namely, google form. In the Google Form application, there is an automatic calculation system in the form of student feedback where teachers do not bother to manually calculate the results of student learning evaluations (Munawaroh, Prastowo, and Nurjanah 2021). The analysis method used is the Technology Acceptance Model (TAM) which is able to find out the attitudes of users towards the technology used, so that teachers can easily find out whether the tasks given to students are done by the students themselves, not the help of parents.
Quantum Properties of Coherently Driven Three-Level Atom Coupled to Vacuum Reservoir

A three-level laser with an open cavity and a two-mode vacuum reservoir is explored for its quantum properties. Our investigation begins with a normalized order of the noise operators associated with the vacuum reservoir. The master equation and linear operators' equations of motion are used to determine the equations of evolution of the atomic operators' expectation values. The equation of motion answers are then used to calculate the mean photon number, photon number variance, and quadrature variance for single–mode cavity light and two–mode cavity light. As a result, for γ=0, the quadrature variance of light mode a is greater than the mean photon number for two-mode cavity light. As a result, for the two-mode cavity light, the maximum quadrature squeezing is 43.42 percent.
Why Become an Entrepreneurial Teacher?

This chapter challenges beliefs that are commonly held by teachers about what it means to be entrepreneurial, to be an innovator, or to be a leader. Challenging such beliefs is essential in the 21st century where the core purpose of education is being transformed by the abundance of free knowledge and free information through technologies connecting us as global citizens. Increasingly, learning can happen in many places at any time and formal knowledge can be taught and learnt through technologies without the assistance of traditional school-based teachers. The place of teachers and the purpose of school education is changing with a shift towards human capabilities and non-cognitive skills that are deliverable through values-driven entrepreneurial education. By becoming an entrepreneurial teacher, you are developing your own capabilities for being innovative and leading change in the context of 21st century teaching in your school ecosystem. This book adopts an emancipatory perspective on entrepreneurial thinking by seeking to empower teachers to lead innovation and make change happen in localised school communities. You will be stepped through entrepreneurial concepts with fine-grained examples and practical activities for building your confidence in being innovative and understanding yourself as a teacher-leader. You are invited to explore your sense of self as you become an entrepreneurial teacher. Keywords: entrepreneurial thinking, capabilities, innovation, leaders, school ecosystems.
An overview of cyber crimes: A major threat to society and legal remedies to it around the world

The internet poses a particularly challenging balancing act between criminal activity and allowed use due to its flexible proposed system with stress on ease of communication.A more favourable atmosphere for it in an upsurge in cybercrimes has been generated by the emergence of several social media platforms.This project was inspired by the vagueness of what exactly defines cybercrime due to a lack of agreement on what should be included in the calculation.This essay outlines the various methods that cyber criminals use to commit crimes on various social media outlets.Since there are no procedures in place to verify identification, this presents a problem.The goal of this essay is to ascertain the degree to which the exponential rise in social media use has aided in cybercrime.We used the doctrinal approach of legal research for this essay.The research found that social media platforms' accessibility, affordability, and ease of use have made it incredibly an desirable location for business.The study concludes that making people aware of such crimes can significantly reduce the threat of cybercrime.The article finishes by underlining the necessity of creating a legislative framework specific to cybercrime to deter social media cybercrimes.It suggests among many people believe that revealing personal information or data on social media sites should be avoided.
METHODOLOGICAL RECOMMENDATIONS FOR THE IMPLEMENTATION OF THE COACH-MENTORING SYSTEM IN ORDER TO DEVELOP THE PROFESSIONAL COMPETENCIES OF MANAGERS

The article is devoted to the description of the coach-mentoring system at a commercial enterprise for the purpose of developing professional competencies of managers in working with clients.The purpose of the article is to develop methodological recommendations for the implementation of the coach-mentoring system with the purpose of developing the professional competences of managers.The stages of implementation of this system are highlighted in chronological order, namely: definition of goals and tasks of coach-mentoring; development of criteria for the manager's integration into the business process; program development; development of evaluation criteria for managers and mentors; development of the mentors' motivation system; development of regulatory documents that accompany the entire process of manager integration; selection of mentors; organization and conduct of PR events in a commercial organization for the introduction of a coach-mentoring system; training and coaching of mentors, their motivation; conducting a pilot test project; receiving feedback from process participants; analysis and adjustment (if necessary) of the program.The requirements for the personality of a coach-mentor and his functional duties are described.These include the following: determine the needs of a novice manager in professional development; explain the coaching-mentoring process to student managers; facilitate the adaptation process in the organization; help to master work technologies; help in defining educational goals and planning actions; offer students various learning opportunities in order to increase their productivity; give feedback to students based on observations of their behavior at the workplace; help the student identify problems and possible options for solving them; help the student motivate himself to achieve production goals.
Message querying telemetry transfer on IoT applications to enhance technology: a systematic review

More things are connected to the Internet, making the internet of things (IoT) develop significantly. But IoT also has weaknesses in communication, one of which can be overcome by utilizing message querying telemetry transfer (MQTT) because there are too many benefits of MQTT. Because there have been many published studies regarding MQTT, this study aims to conduct a review utilizing Preferred reporting items for systematic reviews and meta-analyses (PRISMA) on the application of MQTT in IoT applications to enhance technology. The results of using PRISMA were 57 papers selected from this process, which starts from the identification stage, screening, eligibility, and included. The last author found components that can be discussed to enhance technology. In this discussion, several topics will be used to enhance technology, such as; smart technology, security, MQTT performance for IoT, monitoring systems, MQTT comparison, enhancement or optimization. This paper is expected to help academia and industry related to MQTT research that can help IoT to enhance technology quality.
$$\nu $$-Improved nonparallel support vector machine

In this paper, a [Formula: see text]-improved nonparallel support vector machine ([Formula: see text]-IMNPSVM) is proposed to solve binary classification problems. In this model, we use related ideas of [Formula: see text]-support vector machine([Formula: see text]-SVM), the parameter [Formula: see text] is introduced to control the limits of the support vectors percentage. In the objective function, the parameter [Formula: see text] is increased to ensure that [Formula: see text]-band is kept as small as possible. It has played a great role in the classification of unbalanced data sets. On the basis of maximizing the interval between two classes, [Formula: see text]-IMNPSVM can fully fit the distribution of data points in the class by minimizing the [Formula: see text]-band, which enhances the generalization ability of the model. The results on the benchmark datasets testify that the proposed model has a good effect on the classification accuracy.
25 The use of emotion lexicon in emotion research

This chapter reviews emotion lexicons in emotion research. In the last few decades, researchers have used and cited several emotion lexicons compiled by different research groups in a variety of languages. In general, there is no common framework to guide the compilation of these emotion lexicons. Researchers draw from several emotion lexicons compiled by different research groups and these lexicons are not only diverse in the way they are compiled, they also vary enormously in objectives, size and range. So far, the focus in this area of research is on collecting the emotion words for stimuli used in psychological experiments. Often these lexicons are handpicked by the researchers to satisfy certain requirements for the studies. Though we do have emotion lexicon in several languages such as French and Spanish, most of the existing lexicons are usually an adaptation of an English version. Since then, ensuing debate on the universality of emotion has also opened up discussions on how the emotion should be identified and measured. This chapter will trace the outcome of this debate and discuss the relevance of emotion lexicon as an emotion resource. Additionally, it will also present a multilingual MICE (Malay, Indonesian, Chinese and English) emotion lexicon which is built from within the language itself and not based on translation from English. Lastly, the chapter will highlight the relevance of emotion lexicons in computational linguistics.
Hatcher-Bourque: Towards a reusable classification of semantic relations

A key feature of binominal lexemes is the unstated (or underspecified) relation, ℜ, that pertains between the two major constituents. The nature of ℜ - the kinds of relations - has been the topic of considerable research during recent decades. While early studies focused almost exclusively on English, the last few years have seen a spate of work on other languages. Unfortunately, this work has been uncoordinated and each researcher entering the field has tended to devise their own classification, making it difficult to compare results and advance our understanding of the phenomenon. This is a pity, because such an understanding has the potential to provide insights into the nature of concept combination and the associative character of human thought. The purpose of this chapter is to present a well-documented, systematic classification of semantic relations that operates at multiple levels of granularity and is suitable for reuse across languages. Hatcher- Bourque is based on revisions of two earlier classifications, those of Anna Granville Hatcher and Yves Bourque, which operate at different levels of granularity. These are integrated into a single, coherent system, with automatic mapping from one level to the other. The classification is applied to a set of 3,650 binominals from 106 languages, and an analysis is presented of the frequency and distribution of semantic relations at both a highly abstract level and a more granular level. The Hatcher-Bourque classification, and an accompanying, Excel-based tool, the Bourquifier, are offered to the research community in order to encourage collaboration, and researchers are invited to participate in the Hatcher-Bourque Cake Challenge.
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?

Previous works mostly focus on either multilingual or multi-domain aspects of neural machine translation (NMT). This paper investigates whether the domain information can be transferred across languages on the composition of multi-domain and multilingual NMT, particularly for the incomplete data condition where in-domain bitext is missing for some language pairs. Our results in the curated leave-one-domain-out experiments show that multi-domain multilingual (MDML) NMT can boost zero-shot translation performance up to +10 gains on BLEU, as well as aid the generalisation of multi-domain NMT to the missing domain. We also explore strategies for effective integration of multilingual and multi-domain NMT, including language and domain tag combination and auxiliary task training. We find that learning domain-aware representations and adding target-language tags to the encoder leads to effective MDML-NMT.