Reviewerly/exHarmony huggingface dataset:
Functional fine-tuning of Colleges and Universities and the Cultivation of Innovative Talents Enabling the Fourth Industrial Revolution

In order to avoid the disconnection between talent training and social needs and enable the fourth industrial revolution, social development has put forward new requirements for university education, and points to the training of innovative talents who master high-tech knowledge and modern management ability. This paper puts forward teaching, scientific research and social service, which are three functions of colleges and universities, must be developed around whether is beneficial to the cultivation of innovative talents . Colleges and universities should make the three functions of fine-tuning. "Scientific research " and "service society" function, they will play roles under the heads of " talent training" which is the basic tasks of colleges and universities.That is: trinity focus on cultivating innovative talents. At the same time, three specific measures are put forward to set up innovative thinking and innovative methods teaching and practice courses. Trinity of talent training and scientific research and society service should provide practice and ability training. Primary and secondary schools should recognize the importance of innovation in advance, establish feelings of devotion to family and country, cultivate innovative consciousness, and form a chain of innovative talent training mode in the whole society.
Pengaruh Teman Sebaya, Pendidikan Karakter, Keterampilan Belajar, Pemberian Reward Dan Interaksi Sosial Keluarga Terhadap Prestasi Belajar Siswa Kelas VIII Di MTsN 06 Padang

This study aims to analyze the sampling technique was Proportional Random Sampling with a total sample of 113 students. The results showed that: 1), peers have a significant effect on learning achievement. Where indicated by the coefficient value of 0.336. This coefficient value is significant because the t-count is 3,477 &gt; t-table is 1,65909. 2), character education has a significant effect on learning achievement. Where indicated by the coefficient value of 0.326. This coefficient value is significant because the value of t-count is 3.153 &gt; t-table of 1.65909. 3), learning skills have a significant effect on learning achievement. Where indicated by the coefficient value of 0.180. This coefficient valueis significant because the value of t-count is 2.246 &gt; t-table of 1.65909. 4), giving rewards have a significant effect on learning achievement. Where indicated by the coefficient value of 0.206. This coefficient value is significant because the value of t-count is 2,929 &gt; t-table of 1,65909. 5), social family interactions have a significant effect on learning achievement. Where indicated by the coefficient value of 0.640. This coefficient value is significant because the value of t-count is 5,002 &gt; t-table of 1,65909. 6), character education, learning skills, giving rewards, and social family interaction together have a significant effect on the learning achievement. Where obtained by the value of F-count 142.226 &gt; F-table 2.30 with a significant level of 0.000 &lt;= 0.05. This means that Ha is accepted and H0 is rejectedKeywords: Peers,Character Education, Learning Skills, Giving Rewards, And Social Family Interaction On Student Achievement.
Pengaruh Efikasi Diri, Aktivitas Belajar, Fasilitas Sekolah, Pendidikan Orang Tua dan Teman Sebaya Terhadap Prestasi Belajar Mata Pelajaran Ekonomi Siswa Kelas XI MAN 3 Kota Padang

This study aims to analyze the influence of self-efficacy, learning activities, school facilities, education of parents and peers on the learning achievement of Economics subjects of Class XI MAN 3 Students in Padang City. The results of data analysis in this study found that there was an influence of variables of self-efficacy, learning activities, school facilities, the education of parents and peers together on the learning achievement of Economics subjects of class XI MAN 3 Students in Padang City. The results of each variable can be decomposed based on two levels as follows: First, students who do not participate in the detailed extracurricular, namely the probability value of the self-efficacy variable (0.0000), learning activities (0.0017), school facilities (0.0003), parental education (0.0044) and peers (0.0000) affect student learning achievement which can be proven by a probability value smaller than α (0.05). Second, students who take part in extracurricular that can be detailed, namely the probability value of self-efficacy variables (0.0000), learning activities (0.0256), school facilities (0.0041), parents' education (0.0259) and peers (0.0000) affect student learning achievement which can be proven by a probability value smaller than α (0.05).
Pengaruh Disiplin Belajar, Kecerdasan Emosional, Perhatian Orang Tua, Kemandirian Belajar dan Teman Sebaya Terhadap Prestasi Belajar Ekonomi Siswa Kelas XI SMA Pembangunan Laboratorium UNP

This study aims to determine the effect of one variable with other variables and use the Stratified Random Sampling technique with a sample of 73 students. The results showed that: 1), learning discipline had a significant effect on learning achievement. Where indicated by the coefficient value of 0.591. This coefficient value is significant because the thitung value is 3.543 ttabel is 1.66980. 2), emotional intelligences have a significant effect on learning achievement. Where indicated by the coefficient value of -0.353. This coefficient value is significant because the value of thitung is -2.441 ttabel of 1.66980. 3), parents' attention has a significant effect on learning achievement. Where indicated by the coefficient value of -0.184. This coefficient value is significant because the value of thitung -1.919 ttabel is 1.66980. 4), independent learning have a significant effect on learning achievement. Where indicated by the coefficient value of 0.259. This coefficient value is significant because the thitung value is 2,680 ttabel is 1,66980. 5), peers have a significant effect on learning achievement. Where indicated by the coefficient value of -0.170. This coefficient value is significant because the value of thitung -1.959 ttabel is 1.66980. 6), learning disciplines, emotional intelligence, parental attention, independent learning, and peers together have a significant effect on learning achievement. Where obtained by the value of F-count 8.227 &gt; F-table 2.31 with a significant level of 0.000 &lt; = 0.05. This means that Ha is accepted and H0 is rejected.
Pengaruh Efikasi Diri, Pemberian Reward, Fasilitas Belajar, Disiplin Belajar Dan Lingkungan Keluarga Terhadap Prestasi Belajar Siswa Pada Mata Pelajaran Ekonomi Kelas X Ips Sma Negeri 4 Payakumbuh

This study aims to analyze the sampling technique using the Stratified Random method. Sampling samples in the study were 86 students. The results of self-efficacy research have a positive and significant effect on learning achievement. coefficients are 0.348241 and 0.355978, respectively. With tcount value of 2.070014 &gt; ttable 1.69552 with significant value 0.0469 &lt; = 0.05 and 2.798753 &gt; ttable 1.68107 with value significant 0.0076 &lt; = 0.05 which means Ha is accepted and Ho is rejected. The provision of rewards has a positive and significant effect on learning achievement. The coefficients are 0.379086 and 0.443925, respectively. Learning facilities have a positive and significant effect on learning achievement. coefficients are 0.150116 and 0.214942, respectively. Learning discipline has a positive and significant effect on learning achievement. coefficients are 0.184940 and 0.128583, respectively. family environment has a positive and significant effect on learning achievement. coefficients are 0.210983 and 0.172287, respectively. self-efficacy, giving rewards, learning facilities, learning discipline and family environment together have a significant effect on student achievement in economics class X Social Sciences SMA Negeri 4 Payakumbuh. Overall the value of Fcount 49.94751 &gt; Ftable 2.33 and significant value 0.000 &lt;α = 0.05, based on the sample group of high parental income, Fcount 11.58369 &gt; Ftable 2.52 and significant value 0.000 &lt;α = 0.05 and based on the sample group the income of parents is low, the value of Fcount is 24,80710&gt; Ftable 2.43 and the significant value is 0.000 &lt;α = 0.05. This means that Ha is accepted and Ho is rejected.
The language of music in the evolution of the well-being of the european population

Citizens across different age groups need personal human contact; they need to meet, to talk to each other, to hug and to love. The language of music is the most constructive action in the context of human recovery and ensuring the psychological well-being of the population.
Student-centered education - a priority for the academic environment

This paper outlines an overview of what student-centered education (SCE) means - a priority of the Bologna process. Thanks to the emergence of new educational needs and the modernization of the university education curriculum in our country, currently, there is an increased interest in this way of training. It also analyzes the concept and definition, presents the basic principles and dimensions of the SCE. At the same time, a comparative analysis of the two systems that coexist in local higher education is performed: student-centered education and teacher-centered education. In order to focus on the needs of students, to ensure a quality teaching process, mainly focused on the formation of skills necessary for professional activity, the benefits offered by the SCE model to both students and teachers are highlighted.
The importance of intercultural competence development in higher education

Looking back in time, history shows us, by the fact that no society has lasted for more than 100 years without generating a war, that we are facing a problem. Doesn't it seem hilarious, because everyone knows this, and we take it for granted? It is here that we have the hint that since the world has existed, there has never been a healthy society. In order to be able to build a healthy intercultural society, strong collaboration and less competition are needed, or a too competitive style between societies brings division, where everyone fights for the supremacy of their own culture. These struggles are the result of many smaller problems that have not been properly managed and solved, usually over several years, which later turned into mass disorder and have led to wars. Consequently, this paper describes some key concepts that stand out which not being properly managed and developed or their lack lead to the destruction of a culture, a society. Thus, we teachers, are the ones in the first line, who can bring to the attention of our disciples these major cultural problems, in order to build a healthy intercultural society in our country and abroad. Through the method of analysis and comparison of several papers and opinions, a personal opinion emerged regarding this current topic, in the context of Europeanization and globalization of economies.
Viewing Second Language Acquisition from the Philosophical Perspective of Mindfulness

&lt;p&gt;&lt;em&gt;This current research study attempted to exploratively expose second language learners’ learning acquisition from a philosophical perspective of mindfulness. Regarding this, the researcher deeply studied and identified the behavioral performances of the second language learners in the process of second language acquisition (SLA), which led to the exposure of the close relationship between the theories of philosophy of mindfulness and SLA. As a qualitative research, the current research fully adopted the inductive-deductive method, the comparative analysis method, and the literature review method to deeply analyze the internal relationship between the philosophy of mindfulness and SLA. The research preliminarily found that the cognitive-behavioral theory, under the guidance of the theory of philosophy of mindfulness, provided a good theoretical basis for studying the thinking activities of second language learners’ brains. Thus it is indicated that studies on the operational processes of second language learners’ language cognition should require second language teachers to go deep into all levels of SLA. Consequently, it is suggested that second language teaching should properly follow the scientific laws of cognition and properly develop the potential mindfulness of second language learners, which is an important aspect that all second language teaching experts and teachers can no longer ignore.&lt;/em&gt;&lt;/p&gt;
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness

This paper introduces recurrent equilibrium networks (RENs), a new class of nonlinear dynamical models} for applications in machine learning, system identification and control. The new model class admits ``built in'' behavioural guarantees of stability and robustness. All models in the proposed class are contracting -- a strong form of nonlinear stability -- and models can satisfy prescribed incremental integral quadratic constraints (IQC), including Lipschitz bounds and incremental passivity. RENs are otherwise very flexible: they can represent all stable linear systems, all previously-known sets of contracting recurrent neural networks and echo state networks, all deep feedforward neural networks, and all stable Wiener/Hammerstein models, and can approximate all fading-memory and contracting nonlinear systems. RENs are parameterized directly by a vector in R^N, i.e. stability and robustness are ensured without parameter constraints, which simplifies learning since \HL{generic methods for unconstrained optimization such as stochastic gradient descent and its variants can be used}. The performance and robustness of the new model set is evaluated on benchmark nonlinear system identification problems, and the paper also presents applications in data-driven nonlinear observer design and control with stability guarantees.
A Social Media Text Analysis Technique Using ML Algorithm

Data mining and ML approaches are used for analyzing the raw data. The analysis consequences has depends on the applications requirements. The use of ML has also been become popular in analyzing the social media data based on NLP for uncovering the sentiments on the social media text post. Social media has two sides brighten and dark. There are a number of creative ways to use the social media, but there are also some users that are accomplishing their toxic intensions using social media. The use of machine learning algorithms with the social media helps us to performing prediction, classification, categorization and finding relationship among social media data attributes. Therefore, in this paper we have exploring the difference among the social media data text mining technique based data analysis and also by using NLP based text classification. In this context a publically available social media dataset from Kaggle has been collected and a data model has been presented to classify social media text using support vector machine (SVM) and backpropagation neural network (BPN) classifiers. In order to extract the features we have used the TF-IDF and in second scenario we have used the Part of speech (POS) tagger. The obtained results demonstrate the performance of BPN based classifier is higher in both the scenarios of feature classification. Additionally in simple subject classification the TF-IDF based features providing more yield as compared to POS based features. Keywords—machine learning algorithm, supervised learning, social media data, NLP based features, classification performance.
Occluded Face Recognition Using Machine Learning

A fascinating and intense issue nowadays is the difficult problem of identifying human faces when they are obscured by various obstructions. Due to a sizable occluded zone and a dearth of un-occluded portions, the capacity of most identification algorithms goes off dramatically. We describe a pre-processing approach for occluded faces that is effective and features-based to the fullest extent. Pose, lighting, age, emotions, and hair covering the face are among the 40 different occlusions that are included in the dataset. Edge-preserving enhancement and contrast measurement-correction for the occluded face pictures are part of the two simultaneous procedures used in the pre-processing step. Utilizing Gabor coefficients, Linear Binary Patterns based on Haar Wavelet components, and Histogram of Gaussian features, the finest textural characteristics are retrieved. The other set of characteristics used to represent the entire occluded face region is composed of wavelet components, color histograms, and statistical global features based on first order. In order to validate utilizing support vector machines, the study takes into account 100 celebrities from the CelebA dataset with posture and other occlusions. Compared to other well- known systems, the suggested efficient pre-processing and optimal features-based face recognition system exhibited increased classification accuracy in experiment analysis.
USING VIRTUAL TOUR DEVELOPMENT TECHNOLOGIES IN SCHOOL EDUCATION

The article is dedicated to exploring the possibilities of using VR technologies in the educational process, specifically virtual tours. The relevance of using virtual tours in the modern world is described, and an analysis of the advantages and disadvantages of using this technology in educational institutions, educational and extracurricular events is conducted. The main skills and competencies that can be developed with the help of VR technologies are identified. The possibilities of applications for creating virtual tours are analyzed, with particular emphasis on the Panotour Pro program as a tool for creating virtual tours. Instructions on how to use the program and the process of creating a virtual tour of an architectural monument are provided. Additionally, the article presents the results of an experimental study that demonstrated the positive impact of virtual tours on learning quality and the development of specific competencies in students. Promising directions for the application of this technology in educational institutions are identified. The article explores the practical implications of using virtual tours, which enhance visualization and understanding. These findings can be valuable for teachers, students, and researchers in the field of education and technology. The scientific novelty lies in their potential as a tool for improving the effectiveness of visualization and understanding of objects and phenomena in the surrounding world. With the help of VR technologies, realistic virtual models of objects that are impossible or unsafe to observe in real life can be created. The further development vector can be directed towards the implementation of the integration of virtual tours into such educational programs as history, geography, biology, and others.
THE USE OF ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS IN THE EDUCATIONAL PROCESS IN PROFESSIONAL DISCIPLINES BY STUDENTS MAJORING IN PROFESSIONAL EDUCATION (DIGITAL TECHNOLOGIES)

This article examines the possibilities and prospects of using artificial intelligence and neural networks in student education. The use of these technologies can have a positive impact on the quality of education and provide more effective knowledge transfer. The authors of the article explore the possibilities of using neural networks in the study of professional disciplines by students of the specialty «Vocational Education (Digital Technologies)». Among the advantages of using artificial intelligence and neural networks in education are the optimization of the learning process, adaptive and individualized learning, increased motivation, and automatic assessment of knowledge and skills. Additionally, the possibility of using neural networks for data analysis is considered, which will allow students to improve the quality of research and increase the accuracy of results. Moreover, artificial intelligence systems can help ensure more effective remote learning. Furthermore, artificial intelligence can be applied to create virtual simulators and trainers, allowing students to acquire practical skills and experience without risking experimentation on real objects. For instance, this can be useful for students who study computer repair and modernization, where practical experience and safe and efficient equipment handling are essential.&#x0D; Despite the advantages of using these technologies, such as personalized learning and increased efficiency, potential drawbacks should also be considered. Possible drawbacks include low-quality source data, potential errors in the neural network's operation, and the possibility of ethical problems. To minimize the negative impact of these drawbacks, it is necessary to use technologies that consider their limitations and risks, as well as to constantly improve the technical base and increase the qualifications of teachers and students. Therefore, the use of artificial intelligence and neural networks in education is a promising and powerful tool that can improve the quality of education, make it more efficient and personalized, and provide students with the skills and knowledge they need to succeed in the digital age.
ELECTRONIC SUPPORT OF HIGHER EDUCATION SEEKERS IN THE PROCESS OF THEIR PRACTICAL TRAINING

In the era of digitalization of all social life spheres, especially educational environment, wide using of distance and blended learning technologies the process of students’ practical training at higher education institutions demands creating the system of electronic support. The article deals with the demonstration of changing practice paper reporting documents into their electronic analogues as well as it deals with the analysis of its consequences. Thus, a diary of psychological and pedagogical observations should be substituted with a blog. Drafts of lesson plans or upbringing events can be submitted in the form of PDF files, PPT presentations, online lesson records etc. In the research process, theoretical methods were used (analysis, comparison, generalization and systematization of information obtained during the study of scientific literature), as well as practical methods (a survey of students and teachers was conducted regarding the convenience, effectiveness and feasibility of practice electronic reporting). The research aims at proving the expediency of switching to practice electronic reporting and implementation of electronic support reasonability of students of higher education institutions in the period of their practical training. The study of the effectiveness and expediency of electronic support for the practical training of education acquires took place during four academic years. Survey results, including students and academic staff, have shown that moving to practice electronic reporting provides conditions for information to be submitted in different forms, creates opportunities for commenting blog notes, interchanging experience among students, setting dynamic students’ feedback. Using MOODLE system for educational process gives an opportunity to realize student’s activity due to individual educational approach as well as to provide an opportunity for group and collective interaction. A system of electronic courses was created in accordance with the specialties and types of practice of students according to the curricula. Ensuring the high-quality use of modern information technologies depends on the participants’ access to appropriate technical means and the Internet, as well as the level of their digital literacy.