Reviewerly/exHarmony huggingface dataset:
Editorial Policy of Scientific Journal as Factor in Ensuring Principles of Publication Ethics

The study aims to determine the essential criteria for assessing the compliance of the editorial policy of a scientific journal with the principles of publishing ethics and academic integrity. The research methodology uses the content analysis method. By this method, the content of the websites of "A" category scientific journals in social communications from the List of scientific professional editions of Ukraine as of October 1, 2022, has been analysed. The research also involves the use of methods of generalisation and grouping to determine the criteria for assessing the completeness of the information presentation of the editorial policy regarding publication ethics and prevention of unethical practices. The information content of the websites of scientific journals indicates thematic proximity but not the identity of the way of declaring the editorial policy regarding publication ethics and academic integrity. Emphasis on specific aspects of the editorial policy is a manifestation of the formation of the individual vision of the journal's editorial board of the concept of a quality scientific publication in line with generally accepted international standards. The novelty of the obtained results is in the definition of information blocks that serve as criteria for evaluating the completeness of the information presentation of the editorial policy regarding publication ethics and the prevention of unethical practices. These include the principles of publishing ethics, the review policy, and the policy of combating unethical practices. Conclusions. The widespread distribution of norms of publication ethics and academic integrity on the websites of scientific publications creates a single information field of requirements for participants in the publication process. The identified criteria for the completeness of the information presentation of the editorial policy in the field of publishing ethics determine the guidelines for the development of the content of the websites of new journals, as well as the transformation and adaptation to the modern requirements of already existing editions. The availability of detailed information on the principles of publishing ethics, review policy, and counteraction to unethical practices policy will increase the level of awareness and literacy of all participants in the publishing process: authors, editors, reviewers, and consumers of scientific information.&#x0D; Keywords: scientific journal, editorial policy, publishing ethics, academic integrity, website.
Information and Analytical Activity as a Scientific and Educational Discipline: Evolution, Development Trends

The purpose of the work is to outline the main meaningful components of information-analytical activity (IAA), in this context, to show the process of evolution of the IAA discipline in response to the challenges of the information society and its need for new specialists with new knowledge competencies in the conditions of digitisation. The research methodology consists in the application of a complex of general scientific and special methods, namely: analytical and synthetic processing of information, abstraction, generalisation, logical and systemic approaches, terminological and historical methods, as well as comparison and interrelationship of theory and practice. The scientific novelty of this work lies in the expansion of ideas about the role of the discipline "Information and analytical activity" in the formation of competences in the training of specialists in the specialty "Information, library and archive" and their influence on the development of modern society in the conditions of informatisation and digitisation. Conclusions. The analysis of scientific publications on the development and functioning of information and analytical activities in society, the study of relevant regulatory documents, in particular, educational and professional programs and educational standards, curricula for the specialty "Information, library and archival affairs" shows that, that the discipline "Information and analytical activity" (or "Information analytics") will continue to be in demand in the process of training applicants of the specified direction. Firstly, this is due to the fact that the processes of information and analytical activity permeate the activities of all information institutions and other organisations, which in one way or another are related to work with information and various documents. The need for information and analytical products of libraries and other information institutions is due to the objective request of users to get an idea of the main trends of changes in the meaningful filling of large masses of information in response to the challenges of the digital society. Secondly, the widespread development and implementation of information and communication technologies, the emergence of new types of documents and information carriers, a new level of evolution of analytical technologies, require future information specialists to have a deep knowledge of information and analytical processes and high level of digital competence. This will ensure the flexibility and adaptability of the educational system to new types of professional activity that appear as a result of digital transformation.&#x0D; Keywords: information activity, analytical activity, information and analytical support, analytics, information needs of users, information products and services, digitalisation.
Western European Musical and Performance Professionalism in Historical-Evolutionary and Social-Cultural Contexts

The purpose of the article is to reveal the regularities of the polymorphism of the Western European music-performance paradigms of professionalism in historical and socio-cultural coordinates from the Middle Ages to the end of the 19th century. The research methodology: source studies for the formation of ideas about the scientific and applied-practical basis of performance principles and educational systems of different eras laid out in treatises, methods, instrumental schools of European thinkers, teachers, and performers-practitioners of the past; retrospective and system-analytical in the selection and analysis of scientific literature; cultural-historical to trace the historical dynamics of musical and performing expertise in the lens of the aesthetic and spiritual superstructure of society. The scientific novelty lies in the fact that the consideration of the problem of epochal changes in performing traditions is carried out contextually. Taking as a basis the definition of the musical professionalism of the performers, their activity as the main profession, provided with relevant skills and knowledge, which is the basis for obtaining a means of livelihood (not a related occupation, a form of leisure, or hobby), the musical and performing forms characteristic of certain historical eras and are relevant to public demands and requirements for specialists in various performing industries. In parallel, methods and means of understanding musical professionalism are considered. Conclusions. The detection of regularities in the evolution of the criteria of performers’ musical professionalism in the historical and sociocultural projection demonstrates a gradual shift from church and court performance to secular (concert and every day) performance. This dictates the polymorphism and adaptability of the category of musical and performing professionalism. At the same time, there were processes of deeper differentiation of individual specialties, improvement of tools, development of a system of special education centres, development of music science from philosophical generalisation to the study of specific practical-executive and special-pedagogical issues. The named objective manifestations of evolution were accompanied by an increased concentration of attention on the personal and individual growth of the performer and their spiritual and intellectual development.&#x0D; Key words: musical professionalism, performance practice, public concerts, vocational education, forms of artistic life, evolution.
IMPLEMENTASI TEKNOLOGI DIGITAL DALAM PERKULIAHAN MATAKULIAH KALKULUS INTEGRAL DALAM PENYELESAIAN LUAS DAERAH ANTARKURVA

In today's digital era, the use of digital technology is essential in learning mathematics to create exploratory learning spaces. From an early age, technology in learning needs to be known that it does not only produce manual calculators, but that extensive learning support is realized from various applications or websites used in learning at school or in lectures. However, the lack of knowledge of prospective teacher students is a limiting space for learning space. First, in the integral calculus course, students seem monotonous by only using pencil and paper in learning. This article aims to present the implementation of the use of digital technology in integral calculus lectures in determining the area between curves. The method used is descriptive to describe the implementation of the technology. This was obtained in the implementation of the website using geogebra and wolframalpha as an exploratory tool to create a comprehensive learning space in answering their needs regarding the difficulty of drawing graphs, the difficulty of determining intervals of curve areas, and integral calculations assisted by geogebra and wolframalpha. However, in its use, it is necessary to have a basic understanding of calculating the area between the curves as the main basis for the direction of implementing digital technology.
Digital transformation of legal services

It is shown in the article that the modern foreign legal market actively implements a wide range of Legal Tech directions for optimization and improvement of legal services. Attention is drawn to the benefits of using this innovative approach and the role of machine learning in Legal Tech. It is argued that Legal Tech implementation has a number of obstacles that relate to both the typical problems of startups and those related to state policy, sources of financing and security considerations. The approach on how these problems could be solved is analyzed along with the interaction between the state and private sector, cyber security challenges, legal tech processes and legal education understanding is provided.
Prediction on Bitcoin Price Trends based on Machine Learning Algorithms

With the rapid growth of technology, cryptocurrency like Bitcoin is attracting more and more attention. Its high volatility in prices creates many difficulties for predicting and there has been much work on this. This paper aims to provide a comparison of various machine learning models like linear regression, SVM, random forest, and neural networks for predicting the directions for Bitcoin close prices. The dataset used is from Jan 2012 to March 2021 and all four prices are used for predictions: Close, Open, High, and Low. Two different methods are used to fit the different types of machine learning algorithms: for regressors, close price predictions are first done and then construct in the predicted direction; for classifiers, direction predictions are done directly. Accuracy is used to do the comparison, which is the percentage of correct direction predictions made via the algorithm. It is shown that LSTM, a neural network algorithm generates the highest accuracy of about 58% and the random forest classifier has the lowest accuracy of about 55.47%.
THEORETICAL FOUNDATIONS OF STEM EDUCATION OF STUDENTS

STEM education is a series of sequentially arranged learning programs for students with the purpose of preparing them for productive activities and education by forming levels of competences sufficient for productive activities. It covers natural sciences, technologies, technical creativity, mathematics and is aimed at training specialists (bio and nanotechnology, programmers, IT specialists, engineers, etc.) to ensure industry development. The introduction of STEM education and the development in the individual of abilities and aptitudes for research and analytical work, experimentation and critical thinking in the conditions of the use of the latest technologies will allow to increase the GDP of Ukraine by creating the basis for the formation of high added value in the labor product.&#x0D; One of the key tasks of STEM education is to ensure that the student's personality reaches a new level of development thanks to the formation of qualities and values for the purposeful realization of personal and socially significant goals. The realization of creative potential, abilities and aptitudes in this process contributes to the formation of a multifaceted psychological and socio-professional experience.&#x0D; As a result of the student's psychological activity, proposed in the process of STEM-education, competencies should be harmonized according to the components of the psychological sphere: cognitive (knowledge); operational and technological (activity); motivational (emotional); ethical; social; behavioral This will enable students at the stages of adaptation, individualization and integration to reach a self-sufficient level of autonomy and competitiveness due to the proposed algorithm of key activities.
Research on Trusted Data Sharing Method for Multi-party Edge Terminals

In recent years, Internet of Things technology (IoT) has developed rapidly and is widely used in various fields including military. The modern warfare has a new operational style of precision strike and targeted killing, among which is supported by IoT. However, during such operations, communication is not disrupted and data transmission and distribution are carried out through a centralized mode. While warfare environments are often communication constrained, with central servers facing disconnection or attack. In this study, we develop a multi-party edge terminal data sharing scheme based on blockchain technology, which improves the security and robustness of data sharing. What's more, the paper proposes a double chain storage mechanism, which improves the data sharing efficiency to a certain extent. In this paper, the proposed scheme is applied to a certain scenario for the simulation experiment. The experimental results show that the scheme can effectively support data sharing and provide a basis for the construction of reconnaissance and strike integration system.
Application Research of Flood Disaster Early WarningSystem Based on Wechat Enterprise

The rapid development of mobile Internet technology provides reliable basic conditions for the construction of flood control mobile applications. Aiming at the problem that the current flood control related systems rely on fixed network and office environment and can not meet the query needs of mobile terminals anytime and anywhere, a flood disaster early warning system based on wechat enterprise is designed and implemented, It enables the flood control related personnel certified by the system personnel to obtain safe and reliable real-time water and rain conditions, inundated area risk, disaster early warning, flood avoidance transfer and resettlement and other information in real time, effectively improves the intelligent level of early warning information transmission, and provides technical support for implementing the relocation responsibility in the beach area, popularizing the relocation plan, and guiding the relocation rescue in real time. The system has a certain reference value for the construction of mobile office platform of other related businesses.
Insulator Pollution Grade Recognition Method and Platform

Insulators play an important role in the power grids. However, when they get polluted, the flashover phenomenon may take place, which will bring huge losses to the power grid companies. The flashover phenomenon is closely related to the pollution levels of insulators, which need being measured to guide the maintenance work of insulators. If there is a convenient and accurate method to detect the pollution levels of insulators, the work to prevent the flashover phenomenon will be more efficient. To this end, an automatic insulator pollution grade recognition method based on hyperspectral imaging technology and SVM (Support Vector Machine) is proposed. What's more, this paper implements a matching automatic recognition platform with friendly human-computer interaction interface by PLC (Programmable Logic Controller) and Qt. The procedures of the automatic recognition method, the hardware composition and the software work flow of the automatic recognition platform are presented successively. At last, the final integrated recognition platform and the accuracy of the recognition method are exhibited to show their effectiveness.
A Delay-Aware Heartbeat Scheduling Mechanism for Cloud Datacenter

Recently, the existing distributed systems such as big data processing systems (Spark, Hadoop, etc.) and distributed training systems (Pytorch, Parameter Server, Tensorflow, etc.) need to send heartbeat packets to monitor the operation of tasks and detect the status of nodes. This paper studies the problem of how to design an efficient heartbeat mechanism for cloud datacenter, and we provide a new vision for solving this issue through the programmable switch. We firstly analyzed the format of the heartbeat packet and the aggregation process of heartbeat packets. Based on these, we designed an adaptive heartbeat mechanism by establishing an optimization problem with the goal of minimizing the aggregation cost. Furthermore, a heuristic scheduling algorithm is proposed and implemented on the simulation platform. The simulation results show that our proposed algorithm performs much better than the default heartbeat mechanism. That is, our proposed algorithm can effectively reduce the processing overhead and the network load.
FERVENCY: A Squashy Intrigue to Ascertain Emotions using Textual Categorization

Emotion Detection (ED) is a type of sentimental analysis that uses text data to generate and assess emotions. This is a relatively new field in Natural Language Processing, Computer Linguistics, and Text Analysis. The fundamental goal is to recognize emotions in a variety of contexts, including language, facial expressions, gestures, and noises. This study provides an effective and accurate method by searching for essential phrases in a specified database. By categorizing enormous quantities of text, an automated communication system was also constructed and tested to anticipate moods. This article discusses three different types of machine learning classifiers that may be used to categorize text patterns and discern emotions. The Light Gradient Boost Machine (LightGBM) Classifier has given 93.2% mean accuracy based on repetition of 10 objects in 3 times. LightGBM has performed marginally better than other two classifiers (Extreme Gradient Boosting and Category Boosting). The suggestions detail the primary contributions, as well as the methodology utilized, databases used, conclusions gained, and strengths and shortcomings. Finally, the goal of this research is to better emotional categorization and the relationship between dispersion and different types of emotions.
DEEPCNN: A novel approach of multi view face recognition

Face recognition is extensively applied in most of the modern intelligent systems such as, intelligent access control system and smart video surveillance system. Most of the existing face recognition system completely depends on detection algorithm that may not handle longer period of occlusions, also is prone to attacks. In this paper, we have devised a solution for multiview face recognition system using an efficient deep learning approach called DEEPCNN. Here, CNN is pipelined with deep sort to encode the face regions deeply and to enhance security. The deep tracking method is followed in which, the tracker does not solely depends on detection algorithm, and instead deep sort is used in pipeline for human’s face tracking. Firstly, Hungarian algorithm is employed as deep sort method for face detection and then height and position prediction is done by using YOLO-V3. The experimental results show that the proposed approach has proven to give more accurate results and can work for larger period of occlusions.
Ketimbang main: Augmented reality-based application to improve students' 4Cs

The COVID-19 outbreak was an issue facing the people of Indonesia and it had a significant impact. One of the potential impacts is on the education sector, such that more use is made of digital media in engaged in learning, the problems found are that children become addicted to gadgets and have a negative impact on their attitudes. There are many techniques for learning implementation, in particular with the use of technology can minimize the negative impact of technology. One of them is learning to stimulate children when aided by augmented reality. The aim of this study was to assess the use of augmented reality-based learning media as an attempt to enhance 4Cs in children's learning with the ketimbang main program. The method employed in this research is descriptive by observing children (5 - 12 years old) to use of augmented reality to apply learning at Bogor West Java. Data collection techniques use observation and interviews. The results of this study are innovative learning media for children focused on technology, which use augmented reality as the primary priority of their development and it can be increase 4Cs (Creative, Critical Thinking, Communicative and Collaborative) achieved by children while playing and learn with Augmented Reality application (Quiver Vision).
Students' digital literacy measurement

The development of information technology in the 2lst century has brought enormous changes to the lines of life. Students must be able to deal with this change by mastering digital literacy. However, so far, measurements of digital literacy, especially students in Bali Indonesia, have not been carried out. This study aims to describe the digital literacy profile of high school students in Bali Province, Indonesia. For this reason, data were collected through an online survey. A total of 440 high school students from 9 districts in Bali Indonesia filled out the online questionnaire. Samples were drawn by a quota sampling. This study used a survey method. The results showed that there were differences in students' digital literacy based on dimensions of digital literacy and grade level. However, there were no differences in students' digital literacy based on gender. Teachers can use these digital literacy data to make lesson plans so that students can achieve learning goals appropriately.
Online learning supported by digital comics: The effect on students' critical thinking skills during COVID-19

This study aims to reveal the effect of using comic book media in online learning during the pandemic on students' critical thinking skills. This study used a one-group pre-test-post-test design. Twenty senior high school students became participants. Data collection used a multiple-choice critical thinking skill test. Data analysis used the n-gain and Wilcoxon test. The results showed that students' average critical thinking skills at the end of the lesson were 87.5. P-value <0.05. The n-gain of the critical thinking skill was 0.81 (high category). This study concludes that online learning supported by digital comics influences students' critical thinking skills during COVID-19. This research recommends that comic media is a solution for student learning resources during a pandemic.