Reviewerly/exHarmony huggingface dataset:
Professionally-oriented approach in the preparation of students of artistic and pedagogical specialties

The competitiveness of an artist-teacher in the professional sphere is determined not only by the qualifications, but also by the ability to solve professional and subject-specific tasks in non-standard, changing working conditions. In traditional training, students of art and pedagogical specialties are in the position of consumers of educational services; acquire fundamental knowledge and skills, without thinking about their role in professional development and their purpose as a specialist. In a professionally oriented approach to teaching, students can take responsibility as the organizers of the pedagogical process, test their professional knowledge and skills in practice, and assess their level of readiness for the profession. In the context of solving the problem of professional development of students of art and pedagogical specialties in the educational process of higher education, the author of the study developed and experimentally tested a functional model.
Comparative Study of Nature-Inspired Algorithms

Nature-inspired algorithms are problem-solving tactics and methodologies and have been gaining much recognition for their competence. These algorithms have gained massive acclaim in the last few years to solve puzzling real-world (Nondeterministic polynomial-hard and Nondeterministic polynomial-complete) problems and solve complex optimization problems and functions whose exact solution doesn't exist. These are the algorithms that are inspired by natural processes and phenomena. The nature-inspired algorithm can be categorized based on some biological processes or any other phenomena which happen in nature. So, in this paper, we have classified some popular nature-inspired algorithms such as Genetic algorithm, Simulated Annealing, harmony search, Black hole, and many more. Based on four parameters from which the first parameter is Subject from which they were inspired. The second parameter is the optimization technique i.e. Stochastic or Deterministic. The third parameter of our classification is the number of solutions they maintain i.e. population-based or trajectory-based. And the last parameter of this categorization is memory i.e. algorithm is memory-based or memory less.
A Novel Real-Time Virtual 3D Object Composition Method for 360° Video

As highly immersive virtual reality (VR) content, 360° video allows users to observe all viewpoints within the desired direction from the position where the video is recorded. In 360° video content, virtual objects are inserted into recorded real scenes to provide a higher sense of immersion. These techniques are called 3D composition. For a realistic 3D composition in a 360° video, it is important to obtain the internal (focal length) and external (position and rotation) parameters from a 360° camera. Traditional methods estimate the trajectory of a camera by extracting the feature point from the recorded video. However, incorrect results may occur owing to stitching errors from a 360° camera attached to several high-resolution cameras for the stitching process, and a large amount of time is spent on feature tracking owing to the high-resolution of the video. We propose a new method for pre-visualization and 3D composition that overcomes the limitations of existing methods. This system achieves real-time position tracking of the attached camera using a ZED camera and a stereo-vision sensor, and real-time stabilization using a Kalman filter. The proposed system shows high time efficiency and accurate 3D composition.
Impacto del diseño de una plataforma virtual en la enseñanza del derecho

Impact of the design of a platform ona virtual educational community
Digital Technologies in Teacher Training: New Experience

In the field of training higher educational institution teachers, an era of significant change is beginning. For long, this area has remained the most conservative and was not noticeably subject to changes in society. However, the situation has changed dramatically. First of all, this is due to the rapid development of other areas of human activity, and in particular digital technologies. It is already difficult to imagine a modern society without such technologies, and the main task of a higher education teacher is precisely to train highly qualified specialists with new competencies to solve the challenges facing humanity. Strengthening the explicit link between the needs of society and the objectives of higher education is one of the prerequisites for significant changes in the field of education. The concept of training a teacher of higher education for the future today is largely determined by the development trends of digital technologies. The absence of objective reasons to assume the cessation of the use and development of digital technologies allows us to make an assumption that virtual educational worlds will appear in the foreseeable future, which will become the same familiar environment for acquiring the necessary competencies as higher schools existing in the physical world. This largely determines the relevance of the chosen research topic and determines the need for a thorough analysis of the educational technologies used in the training of teachers. The purpose of this work is, using a combination of analysis, synthesis, idealization and analogy, to generalize at the national and international levels the existing ideas about effective approaches to teaching a higher education teacher, including continuous improvement of competence in his professional field, and modern practice of using digital technologies, and also highlight the most interesting new learning experiences. The necessity of applying the so-called “integrated approach to teaching a higher education teacher” by the authors is proved. The main advantages and disadvantages of using digital technologies are highlighted. Reasonable conclusions are made on the existence of an ideal recipe for combining accumulated educational practices in the framework of traditional education and digital technology.
PENGGUNAAN FLAVID PADA PROCEDURE TEXT UNTUK MENINGKATKAN KEMAMPUAN BERBICARA BAHASA INGGRIS

One of the components of projected 21st-century education needed is 4C, i.e. critical thinking, creativity, collaborative, and communicative. The reality faced is students are very passive in English learning activities in the classroom. This shows that students' speaking skill is still low.  In addition, the learning is still dominated by the lecture method and individual tasks. With the aim of improving students' speaking skills, the teacher designs a combination of learning media between conventional and modern media namely Flavid (flashcard and video presentation). The purpose of this research is to find out how the use of Flavid on procedure text can improve the speaking ability of the students in Class IX-A of SMPN 2 Pelaihari. The results of this study are that the usage of flexible media in the learning process proved successful in improving students' speaking skills in English subjects. This can be seen based on the increase in the average value obtained by students from cycle I to cycle II. In the first cycle the number of students who has complete score is 7.41% and in the second cycle 74.07%. The ability to speak using Flavid media has increased by 66.66%.
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis

We present the first evaluation of the applicability of a spatial arrangement method (SpAM) to a typologically diverse language sample, and its potential to produce semantic evaluation resources to support multilingual NLP, with a focus on verb semantics.We demonstrate SpAM's utility in allowing for quick bottom-up creation of large-scale evaluation datasets that balance cross-lingual alignment with language specificity.Starting from a shared sample of 825 English verbs, translated into Chinese, Japanese, Finnish, Polish, and Italian, we apply a two-phase annotation process which produces (i) semantic verb classes and (ii) fine-grained similarity scores for nearly 130 thousand verb pairs.We use the two types of verb data to (a) examine cross-lingual similarities and variation, and (b) evaluate the capacity of static and contextualised representation models to accurately reflect verb semantics, contrasting the performance of large language-specific pretraining models with their multilingual equivalent on semantic clustering and lexical similarity, across different domains of verb meaning.We release the data from both phases as a large-scale multilingual resource, comprising 85 verb classes and nearly 130k pairwise similarity scores, offering a wealth of possibilities for further evaluation and research on multilingual verb semantics.
A Systematic Literature Review: Blockchain Based Solutions for IoT’s

In the modern era, Internet of things brought revolution in the everyday life activities by automation in everyday functions, modifying the approach of people to collaborate with one another or with the devices.Actually, the main feature of IoTs is direct device to device interrelationship.Their benefits range from little domestic devices to heavy industrial systems.Despite of numerous advantages of IoTs, their execution contains different issues mostly due to the severe substance of the functions by implement and because of their narrow computing abilities.Blockchain is the forthcoming annoying technology field that has achieved the attention of IoT sectors to tackle the problems by becoming encountered by themselves.In the article, the relevant issues in IoT field are pointed by us and then examined by the method how these issues can be resolved with the help of Blockchain features.Furthermore, we have also identified issues that appear while allocation of blockchain (BC) in Internet of things (IoTs).
Sentiment Analysis on “Homecoming Tradition Restriction” Policy on Twitter

The "Homecoming Tradition Restriction" was one of the government's policies to terminate and limit the spread of the Covid-19 Virus. Apart from being a media for socializing government policies, Twitter can be utilized by the public to convey responses, opinions, and criticisms towards government policies. This study aims were to determine public sentiment towards the "Homecoming Tradition Restriction" policy. This study uses a data mining approach to classify public sentiments delivered via Twitter. Sentiment classification models are built using two algorithms, Support Vector Machine (SVM) and Naïve Bayes. Naïve Bayes produces the highest performance measurement with a recall of 80% and an F-measure of 71.32%. This study shows that the majority of people support this government policy as indicated by the majority of sentiments that have been collected is positive, and also backed by the fact that the total number of homecoming vehicles during Eid Holiday was decreased by 62% from the previous year. This shows that social media data is relevant enough to be used in the assessment of public responses to government policies.
HUBUNGAN LINGKUNGAN BELAJAR DENGAN HASIL BELAJAR IPA SISWA KELAS V SDN 102028 KAMPUNG GELAM KABUPATEN SERDANG

This study is a quantitative study with a population of 129 students ingrade V SDN 102028 Kampung Gelam district of Serdang Bedagai with the number of respondents as many as 27 people. Data collection techniques used were questionnaires, documentation, and interviews. Student learning outcomes are influenced by various factors that occur in the learning process both internally and externally. One of the external factors that play a role in determining the success of student learning is the learning environment of family, school and community. Of the three learning environments concerned about how parents support children's learning, the facilities at school for learning activities and how students interact with others. Without the support of these three things, will make the learning process becomes hampered. Data analysis technique used is descriptive analysis technique while hypothesis test using product moment correlation test assisted by program of SPSS version 21. Based on the results of research, learning environment and student learning outcomes in general are in enough categories. Hypothesis test with a significance level of 5% obtained results indicating that the school environment is positively and significantly correlated with student learning outcomes. Shown by the result of analysis of rhitung is bigger than rtabel (0,504&gt; 0,381) and coefficient of determination 25%.It can be concluded that between the learning environment and the learning outcomes have a positive and significant relationship. The results of this study are expected to be useful for students, parents, students, and principals. Proposed suggestion is that the learning environment should be created safely and comfortably so that the students' learning result will be optimal.
Adaptively Transferring Deep Neural Networks with a Hybrid Evolution Strategy

Recent years have witnessed the success of deep learning in many fields. Commonly, the deep neural networks are trained by gradient-based methods, which is however ineffective in some cases when the optimization landscapes contain many local optima. In this study, we propose a novel optimization approach that combines neuroevolution with gradient-based method, which possesses the advantages of global search and fast convergence. The main challenge is the high expense of network training, especially when the network structure becomes deeper. This motivates us to utilize the concept of transfer learning which borrows knowledge from a source domain to enhance the learning ability in a target domain. Unfortunately, the design of transfer learning strategies for specific scenarios usually requires external expert knowledge. We therefore propose an adaptive transfer system (ATS) based on dataset similarity, which adaptively adjusts the transferring and retraining modules according to the similarity of the source and target tasks. Empirical studies on image classification problems demonstrate the effectiveness of the proposed algorithm. We are the first attempt to show that the neuroevolution can be successfully applied to deep transfer learning.
Malicious Account Detection on Indonesian Twitter Account

The rapid growth of social networks indeed triggers an increase in malicious activities, including the spread of false information, the creation of fake accounts, spamming, and malware distribution. However, developing a detection system that can identify accounts precisely becomes quite challenging. In this paper, we present a study related to the detection of malicious accounts on Twitter users from Indonesia. Our study objective is to propose a simple feature set to detect malicious accounts using only a few metadata and the tweet content itself from Twitter. We divided the classification level into three: account level classification, tweet level classification, and combination of account and tweet level classification. To get the classification results, we applied some popular machine learning algorithms such as Random Forest, Decision Tree, AdaBoost Classifier, Neural Network, and Logistic Regression to each classification level. The results show that Random Forest achieved high classification accuracy (AUC >80%) in each classification level using our proposed feature set.
Social Tags Versus Controlled Vocabularies: A Comparative Metadata Analysis

With the advent of technology, the tagging has gained popularity. Many researchers believe that social tags, #hashtag may increase the use of library collections. The present study examines the similarities and differences between the Library of Congress’s Subject Headings (LCSH) descriptors and social tags. The study also sought to know whether social tags can be implemented in the library’s database or not. This paper focuses on the comparison between social tags collected from social cataloguing site Library Thing and Library of Congress Subject Headings (LCSH) descriptors collected from Library of Congress online catalogue. For this study more than a hundred book titles in the domain of philosophy were collected from the two selected databases. The results suggest that if the social tags are more subjects oriented, it could improve the subject access to books in libraries; but it cannot substitute the controlled vocabulary like Library of Congress Subject Headings.
Impact of Mobile Phone in Life Style of Gaddi Tribes

The strong correlation between education and democracy has been widely accepted and explored in many ways. This study is inspired by the quest for the democratization of school education through the lenses of social science learning at the secondary education level in the Indian context. The study tried to visualize to what extent schooling contributes to the making of democratic beings. Education for democratic citizenship is directed by various factors such as school education policies, curriculum frameworks, curricular and co-curricular activities or indirectly by attitudes and practices through which democratic knowledge, skills, values and attitudes is constructed to create a future democratic citizen. Thus, to give light to this area, a qualitative study has been designed to look at the selected components of education for democratic citizenship in school settings. The Research investigated social science teachers and student’s views on democracy and its practices to examine how close these schools were to become ‘democratic schools’. Results showed that teaching of teaching for democracy is not as it is presented in literature and educational document. This study is meant to grab a severe concern towards current conceptualization and school practices related to democracy, to create active and democratic citizens in thoughts and practices both, by taking simple steps at the school level to bring significant differences to create a democratic society.&#x0D;
A new intelligent hybrid encryption algorithm for IoT data based on modified PRESENT-Speck and novel 5D chaotic system

Modern application based on IoT sensors/devices are growth in several fields. In several cases, the sensing data needs to be secure in transmission to control / administrator side. In this paper, the proposed secure Internet of Things data sensing and proposed algorithms will be explained, based on the main overarching novel 5-D Hyper chaotic system and new encryption mechanisms (contains hybrid encryption and two modified encryption algorithms) controlled by Fuzzy rules. The encryption mechanism combined by using the structure of PRESENT and SPECK algorithm with novel 5-D chaotic system. Also, for encryption will use the modified mechanisms of Round steps in PRESENT algorithm by SPEECK which were adopted on an IoT sensing data transferring. This proposed system provides a high level of security for any sensitive information that may be generated from sensors that may be installed in an important location to protect buildings and offices from theft by making certain modifications to the algorithms necessary to maintain the safety and security of the information, etc., which must be protected from Attacks. This system is designed to be effective in providing security features for data contents that include confidentiality, authentication and non-repudiation, and is compatible with all types of remote sensing data and sensors to send the final notification to the final administrator view.The proposed system is designed to provide users with high flexibility and ease in managing change operations, speeding up encryption operations and intruding the contents of message packets (types and forms of different sensor data) at the point of origin and decrypting and checking packet integrity messages upon receipt. These features make users of this system more confident with each other. The proposed encryption mechanism and novel chaotic system passed different testes. The generated chaos key space at least 22560probable different combinations of the secret keys to break the system used brute force attack.
Geochemical characteristics of Precambrian Basement rocks from southeastern Nigeria: an approach to their petrogenesis and tectonic setting.

Trace and Rare-Earth element geochemical study of twenty samples of migmatitic banded gneisses, garnet biotite schists, dolerites, granites and rhyolites was carried out in a bid to determine their petrogenetic and tectonic significance in the evolution of the southeastern Basement complex of Nigeria. The data shows that partial melting (crustal anatexis) of migmatitic gneisses and schists played a significant role in the evolution of the granitic intrusions. This is supported by the high incompatible (Rb/Sr = 0.16 to 1.31 and Ba/Sr = 0.75 to 6.21) elements ratio in the granitic intrusions than that of the migmatitic gneisses and schists (Rb/Sr, 0.051 to 0.824; Ba/Sr, 0.7 to 5). High ratios of Ba/Sr and Rb/Sr and lesser values of Ba/Rb ratios in some granitic intrusions than in others suggests increasing fractionation during the anatexis. The role of partial melting is also evident in the smooth REE patterns shown by most of these rocks and the negative Eu anomaly as indicated by the values of Eu/Eu* (0.097 to 0.7). LREE enrichment is evident in the high values of Ce/YbN (12.08-174.5), La/YbN (15.2-228.4) and La/SmN (2.6-7.2) in the granitic intrusions. Tectonic discrimination diagrams of the rocks indicate that the basement rocks were most probably formed in a post-collision orogenic setting while the dolerite and the rhyolite were formed in within-plate anorogenic setting.
Humanistic foundations of the teacher’s professional activity in modern sociocultural conditions

The study examines the problem associated with the fact that features of dehumanization are largely manifested in modern society and in education. There is a loss of spiritual and moral values, a rejection of a worldview based on justice, a lack of attention and respect for a person is increasingly manifested, and his life and morality are being devalued. The leading role in forming the moral image of the younger generation should belong to the general educational organization, teachers and educators. In accordance with this, the goal of the study was set: to identify the level of humanization of pedagogical activity in modern sociocultural conditions. To achieve this goal, the following tasks were set and solved: on the basis of a comparative historical and pedagogical analysis of scientific literature, trace the genesis of the concept of “humanism”; characterize the humanistic foundations of modern education; consider conceptual approaches to the humanization of education; determine the pedagogical conditions for the practical implementation of the humanistic paradigm in the professional activities of university teachers, school teachers and educators. Based on the results of a survey of junior students and their inclusion in project activities to study the heritage of humanist teachers of the XIX-XX centuries, conclusions are drawn that the values of their future professional activities can be formed in the course of studying pedagogy. When carrying out educational projects that have a humanistic orientation, future teachers develop a humanistic consciousness, reorient from material values to spiritual ones, and the personality of the future teacher is humanized.