Reviewerly/exHarmony huggingface dataset:
The role and place of the discipline "Conflict Resolution by Art Methods" in the system of training future primary school teachers

Випуск 86 '2022 Серія 5. Педагогічні науки: реалії та перспективи the same time, to confirm that there are a number of opportunities to integrate fine arts with educational paradigms, at first glance, remote from the art field, the authors formed basic universal directions of involving fine arts in the educational process in higher education.The task of educators is to create a learning environment that corresponds to the life experience of students and allows them to take an active part in today's complex cultural environment of the postmodern era.The realization of the idea of integration of fine arts with educational programs of non-artistic specialties should be supported by methods of reflective assessment, understanding and encouragement of individual desire for visual understanding of works of art, tolerance of pluralism of the author's vision of reality.
Axiological component in the structure of future teachers' spiritual culture music art

Formation of independent work skills of international students at the stage of pre-
TYPES OF WATERMARKS ON BANKNOTES AND METHODS OF THEIR IMITATION

The article deals with the consideration of ways to imitate watermarks in the manufacture of counterfeit banknotes. The watermark is an important public security element for banknotes issued for cash circulation. The basis of any banknote related to paper money is banknote paper. The article briefly describes the stages of the technological process of manufacturing banknote paper and methods for forming watermarks on it. The criteria for the classification of watermarks depending on their location on the banknote (general, local stripe), in relation to the overall tone of the paper (one-tone, two-tone, local, filigree, combined), composition, as well as drawings illustrating these types of watermarks are given. signs. The watermarks developed using modern technologies in recent decades are described, as well as their illustrations. The levels of counterfeiting are determined depending on the subject and its technical capabilities for the manufacture of counterfeit banknotes. The ways of imitation of watermarks are generalized. Firstly, watermarked paper intended for other purposes can be used to make counterfeit banknotes. Secondly, the imitation of watermarks is possible using specially made forms: embossed, used for embossing paper, and printed-screen or letterpress. Widely used to imitate watermarks of copiers. Less common are watermarks, which are imitated using fat-containing substances, or painted with a dye. The article provides examples of the implementation of the relevant methods with their illustration based on studies of counterfeit banknotes. Key words: banknote, banknote paper, watermark, types of watermarks, watermark imitation.
On Study of 1D Depth Scans as an Alternative Feature for Human Pose Detection in a Sensor Network

Inspired by the notion of swarm robotics, sensing, and minimalism, in this paper, we study and analyze how a collection of only 1D depth scans can be used as a part of the minimum feature for human body detection and its segmentation in a point cloud. In relation to the traditional approaches which require a complete point cloud model representation for skeleton model reconstruction, our proposed approach offers a lower computation and power consumption, especially in sensor and robotic networks. Our main objective is to investigate if the reduced number of training data through a collection of 1D scans of a subject is related to the rate of recognition and if it can be used to accurately detect the human body and its posture. The method takes advantage of the frequency components of the depth images (here, we refer to it as a 1D scan). To coordinate a collection of these 1D scans obtained through a sensor network, we also proposed a sensor scheduling framework. The framework is evaluated using two stationary depth sensors and a mobile depth sensor. The performance of our method was analyzed through movements and posture details of a subject having two relative orientations with respect to the sensors with two classes of postures, namely, walking and standing. The novelty of the paper can be summarized in 3 main points. Firstly, unlike deep learning methods, our approach would require a smaller dataset for training. Secondly, our case studies show that the method uses very limited training dataset and still can detect the unseen situation and reasonably estimate the orientation and detail of the posture. Finally, we propose an online scheduler to improve the energy efficiency of the network sensor and minimize the number of sensors required for surveillance monitoring by employing a mobile sensor to recover the occluded views of the stationary sensors. We showed that with the training data captured on 1 m from the camera, the algorithm can detect the detailed posture of the subject from 1, 2, 3, and 4 meters away from the sensor during the walking and standing with average accuracy of 93% and for different orientation with respect to the sensor by 71% accuracy.
Hardware, Hard Time: Academic Challenges and Coping Mechanism of Marginalized Senior High School Students during Distance Learning

This study determined the academic challenges and coping mechanisms of marginalized senior high school students in distance learning, during the second semester of School Year 2021-2022. It was conducted at Porais National High School in the Division of San Jose City. The respondents were six marginalized senior high school students. An interview was conducted in gathering data. The gathered data were presented, and these were scrutinized based on the research questions. The respondents identified lack of internet connectivity and lack of immediate guidance of teachers as their main challenge in distance learning. To seek help and ask for neighbors to be connected to the internet (if there’s any) were the identified coping mechanisms of students.
Prediction Method of Characteristic Value of Foundation Bearing Capacity Based on Machine Learning Algorithm

In this paper, a prediction method of characteristic value of foundation bearing capacity based on machine learning algorithm is proposed. Firstly, the influencing factors of foundation bearing capacity are analyzed, and then the prediction parameters of foundation pressure strength and foundation strength are calculated. The prediction error was obtained by comparing the difference between the predicted value and the actual intensity, which was used as the optimization value to improve the accuracy of the prediction results of the characteristic values of the subsequent bearing capacity. Then, by calculating the characteristic parameters of foundation mechanics and establishing the boundary conditions of foundation bearing capacity, the mathematical model of foundation bearing capacity is constructed, so as to complete the analysis of the mechanical characteristics of foundation bearing capacity. The analysis results and foundation strength prediction parameters are input into the RBF neural network model. On the basis of optimizing parameter weights by the improved Relief algorithm, the prediction results of characteristic values of foundation bearing capacity are obtained by using the hyperparameters of THE RBF neural network algorithm. Experimental results show that the prediction results of this method are always in a controllable range, and the prediction error rate is between 1.21% and 1.35%, and the prediction time is between 30.1 min and 32.5 min, indicating that this method has high prediction accuracy and timeliness.
Electronic Document Securisation based on Document Structure

Securing electronic documents is an important task. It secures the identity of a document. In this sense, methods (mainly cryptographic methods) have been put in place to guarantee the secrecy of the meaning of messages as well as the signing of documents from certificates. The digital document is only defined by its textual content. With the rise of OCRs, the alteration and fraudulent use of documents has increased. In this work we propose an algorithm based on the use of a code book to secure the identity of the document. The codebook stores information that uniquely identifies the document. The codebook is used to make a correspondence table between the elements that we consider important to take into account in the modeling of a document and the different values that are associated with these elements. The results of our algorithm show that it is quite efficient.
Impact of Moral Foundations of Teachers’ on their Professionalism

Professionalism requires teachers to be erudite and skillful.This study was intended to investigate teachers' nonprofessional behaviors in educational perspectives.Quality teaching is ensured when teachers are highly professional.The teachers' non-professional behaviors can harm educational objectives to great extent.The study used Moral Foundations Theory to predict teachers' non-professionalism in the performance of their duties.Through a survey, 1241 teachers were involved out of which 911 responded to predict teachers' professionalism through moral foundations.The scale on teachers' moral foundation was developed whereas the professionalism scale was adopted.The results revealed that teachers' moral foundations have a significant positive impact on their professionalism.Hence, the concerned authorities may prioritize teachers' moral foundations that may be required to focus properly on the development of professionalism in teachers.
On the contribution of information and communication technology (ICT) sector to economic growth in Nigeria: Vector error correction modelling approach

The Information and Communication Technology (ICT) has been the major front-runner in addressing the needs and industries of low-income communities in countries likes Nigeria.However, it was in the last fifteen years that the awareness for the importance of the ICT's role in widening the economic break through was identified.Thus, this study examined the impact of ICT sector on economic growth in Nigeria using vector error correction model for the period 1981-2020.The data for the study were collected from National Bureau of statistic.The ADF test, Johansen Co-Integration Test and Vector Error correction model was used to test the stationarity, long run relationship and short run relationship between GDP and ICT sector.The results from the data analysis indicates that all the variables were not stationary; however, become stationary after first difference.The Johansen co-integration test result showed the existence of long run relationship between the GDP and ICT sector.The study also found that LNMPSRM has positive and significant effect on GDP, also LNTIS has negative and significant effect on GDP.The ECT coefficient of 0.251 indicates that a deviation from the long run equilibrium level of the contribution of ICT sector in one year is corrected by 25.1 percent over the following year.The Granger Causality result indicates a bi-directional relationship between LNMPSRM and LNGDP; and independent relationship between LNPUB, LNTIS, LNBRD and LNGDP.In order to ensure sustainable economic growth, the study recommends that Nigeria as a country should increase her investments in ICT sector as this will enable all the sub-sectors to contribute positively toward GDP of the Country.
INNOVATION OF ADAPTIF TECHNOLOGY BASED ON INTERNET OF THINGS FOR INCLUSIVE STUDENT

This paper discusses the learning system of inclusive students by adapting adaptive technology. The learning process is carried out by adjusting the curriculum and educational infrastructure. Students at the PGRI Argopuro Jember University College have 45-50 inclusion students with each batch of 2018-2020. Inclusive students (blind, deaf) experience negative stigma, mentality, difficulty understanding lessons, task completion, and communication. Inastec adaptive technology innovation based on internet of things is proposed to improve the inclusive student learning system. Learning utilizes application algorithms and hardware design schemes for the Respberry Pi 3 B+. The results of applying Inastec's adaptive technology based on the internet of things can help inclusive students in understanding theory, completing assignments, and communicating with the Inastec platform tool with text output and voice feedback on sound speakers.
Group Discussion in College Physics: A Case Study of Collaborative Learning Based on Data Mining

Collaborative learning is widely used in higher education and much research has been conducted to find how group discussion contributes to students' learning performance. This study was aimed at 62 undergraduate students who participated in college physics courses. For four collaborative learning activities containing 12 discussion questions, data such as pre-test, post-test and group score were collected. The questions are divided into two categories: conceptual analysis questions and computational application questions according to the skills needed to solve the problems. Singular value decomposition (SVD) is used to decompose and reduce the dimension of the group collaborative learning score matrix. The decomposition results show that the student attributes influencing group discussion results are knowledge mastery and learning style while the governing question attributes include item difficulty and question type. The research methods provide a tool for quantifying collaborative learning and designing the attributes of group discussion questions in college physics.
performance evaluation of permissionless distributed ledger technology ethereum

Permissionless or public Distributed Ledger Technologies (DLTs) provide full decentralization and transparency. The performance evaluation of permissionless Distributed Ledger Technologies is difficult due to their dynamic nature. This paper focuses on the performance evaluation of permissionless Ethereum DLT. Public test networks highly resemble the main network and capture the dynamic nature of permissionless DLTs. The paper proposes the BloodTrace application to trace the donated blood from the donor to the patient. The performance is evaluated by deploying the BloodTrace smart contract on the public test network Ropsten. The data collection for the calculation of the performance parameters can be performed in two ways: i) RPC based method ii) Log-based method. RPC based method involves polling the blockchain for each transaction data. The log-based method involves the collection of logs and fewer RPC calls to the Blockchain. The probabilistic nature of transaction confirmation is also taken into consideration while calculating the Latency (Finality) by analysing the effect of block confirmations on the latency. The evaluation results are then compared with the results obtained by the Hyperledger Caliper Benchmarking tool as it is using RPC based approach for calculation of performance parameters.
Cloud-Based Knowledge Management System Development For Pramita Indonesia University Executive Class

Knowledge Management System (KMS) is very important to manage knowledge and tacit to have added value for the organization, especially the Pramita Indonesia Employee Class, related to the routines of all employees in the work unit who are expected to provide solutions in solving problems that occur. With conditions that often occur at this time, knowledge and experience have not been documented, the socialization of standard operating procedures is not running properly and the tenure of employees is unknown so when there is a change of employees in the organizational structure, it will result in the loss of knowledge and experience possessed by an employee, confusion or incomplete information received to create misunderstandings between employees in communicating. Based on the results of research that are following the conditions that exist in the class work unit of Pramita Indonesia employees, the author tries to develop a KMS model. By using the Tiwana model framework, and the Becerra-Fernandez progress structure research methodology, as well as using the SECI Nonaka model development, to test the framework model using the Gathering Conversation (FGD) and Black Box Testing strategies, and using a Likert scale for scoring the system test results. , and the quality of the KMS software prototype is 72% with the Very Appropriate category, so the results show that the overall KMS prototype has been running well so that the proposed system can be used in managing knowledge to provide maximum service solutions efficiently and effectively
Two-Dimensional Wavelet with Matrix Dilation M = 2I and its Application in Solving Integral Equations

In this study, using a one-dimensionl MRA we constructed a two-dimensional wavelet as well as four masks which are not related to the MRA. Finally, we provide some examples to prove the applicability of our construction in case of ﬁnding numerical solution of two-dimensional ﬁrst kind Fredholm integral equations.
A Study on the Linguistic Cultural Performing for Decentralization of Local Perception - Focusing on the possibility of restructure of perception and emotion according to literary transformation of local daily language -

This article draws attention to the mobility of interactions that are overlooked from a developmental historical perspective over time between the local past and present, between the center and the periphery, and the strength of its forces. It explored in terms of linguistic culture the performative ways that can lead to sociocultural restructuring through the re-experience of local awareness and communication between locals. Local languages form their own borders of perception by means of the unique forms of emotion and expression contained in them, connecting users or creating new boundaries and dividing structured relationships. In this article, I have been inspired by the characteristics and functions of these local languages. I saw that the poetic transformation of everyday language, that is, the act of re-experiencing it in the realm of particularity, could be a way of setting the stage for a change in the local perception and critical reconstruction of the language that has been contained in it. In other words, the purpose of this article is to explore the performance method in the mutual relation of ''literature-culture'' in order to reconstruct the hierarchical local recognition and local relationship derived from structured local recognition. Accordingly, the text of this article meta-analysis of the discussions studied in terms of poetry on local language. In addition, I examined the effectiveness of local languages as a mechanism to recognize that we have different bases of life, languages, and emotions, but we exist together. In the process, it was confirmed that the local language is a "working language" of local members living with local as a living place and a background of daily life, and also a "playing language" that allows them to experience the world view and meaning network at different levels. Accordingly, it is predicted that local language as a local everyday language can be effective when used as a tool for transforming a society of deversity. On the other hand, the discourse field based on poetry text and semantic networks is considered to be an experiential time when unfamiliar perceptions and different emotions across boundaries can collide and react, and at the same time, it can be a space of encounters and crosses where awareness and emotion can be negotiated. In the end, the article suggests that in this era of cross-section and hybridity, a perspective of recognizing local should be established as a place for reasons and narratives to uncover the ''identity of existence'', and as a place to fulfill future tasks that materialize a wide consultation community and coexistence.
PENGARUH ARTIFICIAL INTELEGEN DAN TECHNOLOGY ACCEPTED MODEL TERHADAP KEPUTUSAN MEMBELI GENERASI MELLENIAL DI KODYA JAKARTA TIMUR

This study aims to determine the effect of artificial intelligence and technology acceptance model on the decision to buy products by millennial generation.Researchers used descriptive quantitative research methods in this study.The results obtained based on a questionnaire distributed online.Artificial intelligence and technology acceptance model,respectively a positive and significant effect, on the decision to buy products by the current millennial generation.While both artificial intelligence and technology acceptance model also influence together based on the results of data processing.So it can be concluded that artificial intelligence and technology acceptance model each have a positive and significant influence on the decision making process to buy products made by millennial generation.
Rancang Bangun Sistem Informasi Penggajian Guru dan Pegawai di MA Al-Hidayah Cikancung

The design of the teacher and employee payroll information system is a system created to facilitate treasurers in managing teacher and employee salary data, for example for attendance which is currently still managed manually and salary calculations are still semi-computerized which are at risk of miscalculation of both the number of days for teachers and employees. incoming employees or the salary itself, reporting takes a lot of time and duplication of data can also occur. This information system uses the SDLC (System Development Life Cycle) for system design methodology, and the writing methodology used is descriptive method, to obtain data using the methods of observation, interviews, and literature study. To design this payroll information system is to use several design tools, including Data Flow Diagrams, Structure Charts, Flowmaps, and ER Diagrams. The development of this information system uses the Microsoft Visual Foxpro 9.0 programming language and is divided into three modules, namely master, transaction, and report. The design of this payroll information system is expected to improve the performance of the treasurer in the management of teacher and employee salaries involving attendance and deductions, and make it easier to make attendance reports, assignments, deductions, and payroll.
Child-Friendly School Assessment of Infrastructure Standards for Junior High School

Standardization of Child-Friendly School Infrastructure Facilities is very important because it can ensure and maintain infrastructure facilities in schools that are safe for children to achieve their goals. The research was conducted in two junior high schools in Tegal Regency, namely SMP Negeri 1
ICT MANAGEMENT AND TELEGRAM BOT: IMPLEMENTATION OF INFORMATION SERVICES FOR DAAR EL HASANAH STUDENTS

This study describes the implementation of information technology system management and telegram bots in student services and information. The method used is descriptive qualitative. The study was conducted at the Daar El Hasanah Jawilan Civilization Islamic Boarding School, Serang Regency, Banten Province. The data is taken from primary and secondary data, which comes from documentation of Islamic boarding schools, relevant books, and reputable journals both internationally and nationally. Data collection techniques are through observation, in-depth interviews, document assessment, and focus group discussions. Data analysis is done through the process of editing, organizing, and interpretation. The results of the study show that the application of information technology system management and telegram bots is very effective in using services and information for Islamic boarding school students, which consists of academic, financial, library, staffing, reporting, computer-based exams, teacher info, student info, SMS gateway, and pavilion services. The study recommends that Islamic educational institutions such as Islamic boarding schools and madrasas take advantage of information technology's sophistication in providing services to users.