Reviewerly/exHarmony huggingface dataset:
Sentiment Analysis on Multiple Indian Languages

Sentiment analysis has become popular in the computer science community as it is essential for moderating and analyzing information across the internet.There are various applications for sentiment analysis, such as opinion mining, social media monitoring, and market research.Sentiment analysis in Indian languages is gaining importance due to the growth of content on social media, news articles, and other online platforms in Indian languages.Since India is a diversified country it has many languages that are used by millions of people but many Indian languages do not have enough resources for moderation on the internet to analyze the sentiment in the text to use them for either eradicating hate speech or to improve the productivity of companies by the understanding of customer needs from reviews.This paper explains an approach that helps in analyzing the sentiment which helps in content moderation and avoiding negativity on the internet.This approach uses the BERT algorithm for sentiment analysis in English.All the text in other languages will be translated into English and their sentiment is then analyzed.In this approach, we use the BERT algorithm for sentiment analysis on translated English text.This approach works well because sentiment analysis using BERT gives higher accuracy and the translation of text from Indian languages is made easy by the advent of natural language processing.By combining both the above-discussed processes we can analyze the sentiment in multiple Indian languages.
Some reflections on the semantic approach, tarskian truth and structuralism

In the present paper, we return to one of the main theses we already defended concerning the role of the tarskian truth notion within the semantic approach (CARNIER, 2022). As it was argued, this truth notion proves to be insufficient to be applied to scientific theories as they are conceived by this approach, i.e., as extralinguistic entities, because it is a property of sentences and because the tarskian truth of a sentence doesn't necessarily mean the world is as it describes, which results in the fact that other truth conceptions more appropriate need to be articulated within the several members of the semanticist family, in order to characterize the relationship between theory and phenomenon. Our argument in this regard was based in a case study applied to constructive empiricism and quasi-realism, but in this paper we extend our analysis to structuralism, assuming and endorsing the position according to which this proposal may be considered a member of the semantic approach.&#x0D;
The Influence of Mother's Knowledge Attitude and Education Level on Maternal Toddler Participation in Integrated Service Post Activities

To analyze the impact of maternal attitudes and education knowledge on the participation of mothers under five in Integrated Service Post (Health center) activities in the Lasepang health center, Bantaeng Regency.This research was conducted at the Lasepang health center area.The sample uses a purposive sampling method where the model is based on specific considerations or criteria.A total of 50 samples were at Wilker Health center Lasepang.The data collection method used was direct interviews with the parties involved on the issues discussed and the distribution of questionnaires to mothers who had children under five, which was in line with the research.Data analysis was used using multiple regression analysis, T-test, F test, and the coefficient of determination (R2).The results showed that the mother's knowledge, attitudes, and education level impacted the mother's participation in Health center activities in the Lasepang health center area.
A Method of Touchable 3d Model Reconstruction based on Mixed Reality –A Case Study of Medical Training Applications

The application of trauma and hemorrhage medical treatment training has generated higher and higher requirements for the authenticity of the medical model. With the increasing integration of mixed reality technology and the medical field, multi-view-based 3D reconstruction technology can generate trauma medical object models not limited to specific targets, with low cost and high precision. However, the current reconstruction methods have weak points such as the inability to build the object surface beyond the direct view of humans, the uneven distribution of reconstructed point clouds, many holes, and reconstructed triangles. And it is time-consuming and laborious to fill and modify manually and requires highly skilled modeling expertise. Therefore, the models generated by traditional 3D reconstruction methods cannot meet the needs of interaction and touch in mixed reality applications. In order to solve these problems, we propose a new model generation method based on multi-view and point cloud processing, which enables the model to reduce the computational cost under the premise of meeting the need for direct interaction and touch in mixed reality applications. Finally, based on the reconstruction method proposed in this paper, a new medical trauma hemorrhage control and rescue training system is designed and implemented, which proves the effectiveness of the method proposed in this paper.
Power Integrated Energy Collaborative Optimization System Based on PSO-PFCM Clustering Algorithm and Block Chain Technology

With the rapid development of human society, the traditional fossil energy, which is necessary for development, is facing the threat of exhaustion and environmental pollution. As a clean and efficient secondary energy, electric energy is mainly converted from fossil energy to cope with the threat of resource depletion and environmental pollution brought by fossil energy. Faced with the problem of power integrated energy cooperative optimization system, we decide to use quantitative recursive analysis and robustness test of power statistical method. The experimental results show that the number of iterations of this clustering is 11, and the objective function is reduced from the initial 22346.3 to 6061.4. The results show that the comprehensive evaluation of hybrid electric energy utilization effect by using this method is globally optimal with good accuracy and high confidence, and the use efficiency of electric energy is improved.
Design and Research of Teaching Evaluation System Based on Big Data Technology

At present, the research on the design of teaching evaluation indicators for computer majors is still relatively weak. It is of great significance to establish a scientific, normative and operational evaluation system. The construction of evaluation indicators is the most important part of the teaching quality evaluation of computer majors, and it is also the most difficult part to solve. The purpose of this paper is to study the teaching evaluation system of computer majors in colleges and universities based on educational informatization, mainly including the design of evaluation indicators. First, select the online and offline blended teaching of computer major courses for evaluation, and then collect the original data of evaluation, use big data technology to process and analyze the original data and organize the evaluation results, so as to reflect the students’ learning situation more intuitively and accurately, and improve teaching and learning. And learning efficiency. The experimental results show that the surveyors agree with each indicator very well, and the degree of recognition of the learning effect obtained by the achievement index is 84.5%.
Effective Gesture-Based Framework for Capturing User Input

Computer technologies are no longer limited to desktops. The recent advances of computer technologies include portable devices like mobile phones and laptop. However, one input device that has not changed in the last 50 years is the QWERTY keyboard. With the recent innovation in sensor technology and artificial intelligence (AI), users can type on any surface as if it was a keyboard by using the virtual keyboards. This research study utilizes the image processing technology to design and develop an application to replace the traditional computer keyboard by using the MediaPipe framework, which can detect hand gestures with precise accuracy while also remaining sustainable and financially viable. Here, a camera is used to capture the keyboard images and finger movements and these movements will then act as a virtual keyboard. In addition, a visible virtual mouse pointer that accepts finger coordinates as input is also described in this study. The proposed system has a direct advantage of reducing peripheral cost, reducing electronics waste generated due to external devices, and providing accessibility to people, who cannot use traditional keyboard and mouse.
Leadership behaviour styles and the UAE municipalities employee’s motivation through entrepreneurial mindset

This research aims to examine the impact of four leadership behavior styles that directive style, supportive style, participative style, and achievement-oriented style.These four leadership behavior styles retrieved from the Path goal theory, which considers the employee motivation determinants by the expectancy theory.The mediation effect of the entrepreneurial mindset factor is tested by this research to fill this gap, and contributes significantly to the body of leadership behavior styles knowledge.This research relies on a cross-sectional data collected from 377 employees from the UAE municipalities.Smart PLS software was used to test the constructed hypotheses of this research.The finding of this research revealed a positive and significant relationship between leadership behavior styles and employee motivation in the municipalities of the UAE.There was a mediation of entrepreneurial mindset for the relationship between directive style and employee motivation, there is no mediation of entrepreneurial mindset for the relationship between achievement-oriented style, participative style, supportive style and employee motivation.The findings can assist managers in determining which type of leadership style is most suitable in terms of outcomes, as well as how they can adjust their leadership styles to make them more successful and result-oriented.
Analysis of Abusive Text in Bangla Language Using Machine Learning and Deep Learning Algorithms

Social media is a widespread and convenient means for people to communicate with one another and express their feelings, moods, and insights. Since the use of the Web for communication is growing, so too are instances of online abuse and cyberbullying. The adverse effects of online harassment and provoking behavior are becoming increasingly unsettling daily. People who often engage in abusive conduct, such as cyberbullying, must be brought to heel to manage the safe use of social media. Natural language processing (NLP) is an approach that is frequently used to classify statements into a predetermined order in text classification. In this study, we employed natural language processing to determine abusive texts from 6848 Bangla textual assertions acquired from various social media platforms. With an accuracy of 94.01% among a variety of machine learning algorithms, the multinomial Naïve Bayes classifier excels. CNN outperformed Conv-LSTM in terms of deep learning algorithms, obtaining an accuracy of 89.42% compared to CNN’s 87.30%. We also compared the algorithms’ accuracy regarding the corresponding technique for feature extraction.
Masked Face Recognition Using Deep Learning Approach

Masks are necessary to be worn by people anywhere in the world in order to stop the spread of the COVID-19 coronavirus infection. Traditional face recognition technologies, which are utilised for the purpose of security, have been shown to be ineffective in light of the fact that the face mask conceals the majority of the important facial characteristics, such as the mouth and nose. A method for recognising individuals who are concealed behind masks is one that we have proposed. This system utilises the CNN method, and further functions include categorisation and the labelling of classifications. The capability of the system allows for masked face recognition in CCTV footage taken at sites such as shopping malls and automated teller machines (ATMs). This technology might also be used to track attendance at schools and universities, as well as in banks and other high-security places, to ensure that only authorised individuals are allowed admission without the need to ask them to remove their masks.
An Evaluation of the Training Program on Online Remedial Instruction in the New Normal

Program evaluation is important in determining the effectiveness and efficiency of the conducted training.The study evaluated the training on the online remedial instruction in the new normal via Google meet and streamed through Facebook using the Kirkpatrick's Model, which consisted of four levels: reaction, learning, behavior, and result.Each of the four levels was evaluated.The model was used to evaluate five training programs on remedial instruction in literacy and numeracy of the Literacy Training Service students based from their perspectives, who will conduct remedial instruction online or face to face in one-to-one tuition.A convergent parallel mixed method research design was utilized.There were 300 key informants who evaluated the training.They were chosen using the stratified random sampling technique.For the focus group discussion, 30 key informants were purposively selected and grouped into three.The results revealed that the key informants were extremely satisfied with the conducted training.The training made them love the teaching profession, discover different techniques, improve their teaching pedagogy, character, and communication skills, prepared them for their future career, and learn different instructional materials.The result of the training program is very commendable, that is why it is recommended that the same training program should be given to the students of Literacy Training Service (LTS) before they will be allowed to give remedial instruction.
The Use of Creative Projects Method by Primary School Teachers as a Means of Enhancing the Learning Motivation

The aim of this study was to determine the influence of the creative projects method on the learning motivation of primary schoolers.The following methods were used for this purpose: semi-structured interviews, surveys.The Torrance Tests of Creative Thinking (TTCT) and the Motivated Strategies for Learning Questionnaire (MSLQ) were used.Mathematical methods of data processing, Pearson's test, Cohen's kappa, Cronbach's alpha coefficients were applied.The study involved 796 third-grade primary schoolers and 39 primary school teachers.It was found that almost half of the teachers do not use the creative projects method in primary school.They believe that pupils do not yet have the necessary skills and abilities.Teachers who use this method note its positive impact on the growth of students' cognitive activity in class.The authors established that the creative projects method contributes to the growth of the creativity level.It also enhances the learning motivation of primary schoolers.An average of 10% increase in the academic performance of third-grade pupils was observed over the six months.Therefore, the creative projects method contributes to the enhancement of students' activity, their level of creativity, stimulates motivation and increases their success.Future research should be focused on studying the influence of the creative projects method on the motivation of students in all education grades.
Effectiveness of developing critical thinking at humanities electives in higher educational institutions

The aim of the article is to prove the effectiveness of pedagogical conditions of humanities electives in the development of students' critical thinking.Methods.The Astin's I-E-O Model is used for the peerreview method.The coefficient of determination was used for multiple regression.Results.Students who studied the humanities electives had a deeper understanding of their own critical thinking.The results of regression analysis show that the level of development of critical thinking changes without controlling teaching methods and student characteristics.The study established the effectiveness of elective humanities courses in forming students' critical thinking.The coefficient of determination of the proposed model is 0.2.Conclusions.The obtained results of the study gave ground for drawing an unequivocal conclusion about the effectiveness of the pedagogical conditions of electives in the development of critical thinking of students of higher education institutions (HEIs).Prospects.Further research should be aimed at finding optimal conditions for the development of critical thinking in higher educational institutions.
Effectiveness of project technology in training Philology teachers for teaching modern business Ukrainian language

The research paper aimed to study the effectiveness of the project technology as a pedagogical condition in training philology teachers to teach the modern Ukrainian language for professional purposes.Methods.The study involved peer review and testing according to the following methods: Ehlers' Motivation for Success Test, Ilina's University Students' Motivation Test.Statistical data processing was carried out by using Pearson's correlation coefficient.The reliability of the instruments was tested by using Cronbach's alpha.Results.The obtained correlation is also statistically significant (remp>r 0.05, where r 0.05 = 0.47).The correlation confirms low indicators of cognitive activity.A reliable relationship between motives is observed only between selfdevelopment and achievement (remp = 0.716 >r 0.01, where r0.01 = 0.68).There is a weak statistically insignificant relationship between other motives (remp <r0.05,where r0.05 = 0.54).Conclusions.The research findings give grounds to unequivocally state the high efficiency of the project technology for the student's professional competence in the Ukrainian business language at the modern level.Prospects.Given the specifics of this research and the objective methodological limitations, it is worth continuing to study the effectiveness of project technology by studying other variables.It is also worth continuing to study the effectiveness of teaching modern business Ukrainian language using other advanced technologies of innovative education in higher education institutions.
Introduction of interactive teaching methods in modern schools

Modern society puts forward new challenges for education, one of which is training people who are able to express critical opinions, find a way of communication in a new territory, who effectively establish new connections in a fast-moving reality. Intension, activity, independence, creativity, the ability to adapt to rapid changes – these personality traits are becoming the most important at the current stage of developing literature, and their formation requires using new approaches to the process of teaching literacy. Therefore, the purpose of the academic paper is to clarify the development of using innovative, non-standard, as well as critical thinking methods of teaching and learning at modern schools. In the course of the research, the following methods were used and applied, namely: analysis, synthesis, generalization, explanation and qualification of data. By the way, such outstanding modern and foreign scientists as O. Pometun, L. Pyrozhenko, as well as V. Bespalko, V. Monakhova paid particular attention to studying the issue of interactive learning methods and made a significant contribution in this direction. They explain innovations in education as an opportunity for interaction, being in the mode of conversation, dialogue, action. Moreover, their studies show that interactive learning makes it possible to significantly increase the percentage of learning the material, as it affects not only the student’s consciousness but also his feelings. The development of interactive learning elements can be found in the scientific works of V. Sukhomlynskyi, the works of innovative teachers of the 70-80s (V. Shatalov, E. Ilyin, S. Lysenkova, Sh. Amonashvili, etc.), the theory of developmental learning.
Higher art education in the European Union: Innovative technologies

The modern development of information technologies has significantly influenced the transformations in the system of learning and teaching in European institutions of higher education of art. The purpose of the article is to analyze the use of innovative technologies in teaching methods in modern higher art education in the countries of the European Union. General scientific methods of analysis and synthesis were used to write the article. The results identified the main philosophical principles on which modern principles of educational work are based, in particular the democratization of the educational process, taking into account modern requirements in teaching and creative work. It has been established that classical models of teaching activity are in crisis due to the use of digital technologies and digital education. In higher educational institutions of France, Germany, Austria, and Latvia, art departments and universities use E-learning and engage temporary lecturers and artists to conduct classes. Content analysis of syllabi and educational programs of art institutions and faculties of higher education in the countries of the European Union was also carried out. The conclusions emphasize the fact that in the educational environment of European countries, the formation of digital and informational competence of students is emphasized.
DECENTRALIZED MUSIC PLAYER-BMUSIC

Online Music players are becoming more and more common in people's everyday lives, but their centralised structure raises issues with management, security, and privacy.Researchers have suggested a decentralised framework for online Music players that uses blockchain technology to solve these problems.to offer more protection and security.We suggest a Web 3.0 and Solana blockchain-enhanced decentralised programme for an online Music player.Online Music Players present centralised data management system has led to privacy breaches.The Decentralized Music player-BMUSIC framework's primary objective is to handle the privacy and security concerns present in conventional online social Music players.Decentralized Social Media -DSM provides a decentralised social structure that incorporates blockchain technology, smart contracts, and other technologies.
State policy on the formation of patriotic education for the youth

Due attention in the article is paid to the use of modern digital infrastructure tools to disseminate the quality of the policy of patriotic education. The author outlines the key components and structural elements of patriotism that can be used to improve patriotic education both at the domestic and international levels. Based on the use of analytical and scientific research methods, a study was carried out on the prospects for the modern development of patriotism in the context of the spread of geopolitical challenges. The results of the study can be a useful source for further scientific developments in the formation of patriotic education and the involvement of educational institutions in this process. The findings can also help to improve the state demographic policy with a focus on the development of future human capital.