Reviewerly/exHarmony huggingface dataset:
The system of mathematical education of Russia: problems, tasks, solutions

Abstract The article presents a study of the currently functioning system of mathematical education in the Russian Federation. The importance of research areas related to mathematics for the Russian and world community has been substantiated. The analysis of the implementation of the modern Concept of Mathematical Education of the Russian Federation is carried out, achievements and problems are highlighted. The changes that have affected school and university mathematics education from the moment of approval of the Concept of Mathematical Education of the Russian Federation and up to the present, the positive and negative results of these changes are shown. On the basis of a survey conducted by the authors of representatives of the leading mathematical organizations of Russia for the changes necessary from their point of view that need to be introduced into the Concept of Mathematical Education, the most important and significant proposals for improving the quality of this sphere of education have been developed.
E-Voting System: (A Tool for General Elections)

Abstract The usage of ICT is increasing by leaps and bound all over the world .The fast and deep impact of the internet is seen in each and every aera of the mankind in this world . The most of the governments all over the world are keen to use electronic medium for all types of services for their citizens which is called e-Governance. India is also a front runner to rollout various e-Governance services under the umbrella of the National e-Governance Plan (NeGP). With the extended use of internet and ICT technologies many governments are extending their services to more and more people faster. Many e-Government models are built with the latest ICT for good use and quicker services to the citizens. India being the largest democracy of the world has significant work load during elections.The conventional methods of election have many problems due to which many citizens are not able to cast their vote. Keeping these problems in mind e-voting system which can be used a tool for any type of voting is suggested in this paper. Keywords: NeGP, ICT, e-voting system, e-governance, e-citizens, UID, ITES
Rancang Bangun Website Desa Demangharjo

The internet as a communicator of information is now a necessity. Particularly in the provision of information for a company, government organizations / agencies such as Village Centers that require a fast, precise and accurate data management system that can provide more complete, up-to-date, interactive and dynamic information. In Demangharjo Village the information system related to Village Information is still submitted in the form of a guide book and the service is still done manually. Basically, population residence service activities are required to take care of application letters at the village office with the applicable procedures, so that in practice it will certainly take a long time and energy. For this reason the author made the Final Project concerning the Design of Demangharjo Village Website with the metedo Waterfall. Through this website, it is expected that information will be conveyed more quickly and accurately, maximum service and information transparency, village introduction process and population data storage to accelerate the work of village officials in serving the community and make it easier for citizens to submit services or find out village information.
Notes on Deep Learning Theory

These are the notes for the lectures that I was giving during Fall 2020 at the Moscow Institute of Physics and Technology (MIPT) and at the Yandex School of Data Analysis (YSDA). The notes cover some aspects of initialization, loss landscape, generalization, and a neural tangent kernel theory. While many other topics (e.g. expressivity, a mean-field theory, a double descent phenomenon) are missing in the current version, we plan to add them in future revisions.
Yelp Review Rating Prediction: Machine Learning and Deep Learning Models

We predict restaurant ratings from Yelp reviews based on Yelp Open Dataset. Data distribution is presented, and one balanced training dataset is built. Two vectorizers are experimented for feature engineering. Four machine learning models including Naive Bayes, Logistic Regression, Random Forest, and Linear Support Vector Machine are implemented. Four transformer-based models containing BERT, DistilBERT, RoBERTa, and XLNet are also applied. Accuracy, weighted F1 score, and confusion matrix are used for model evaluation. XLNet achieves 70% accuracy for 5-star classification compared with Logistic Regression with 64% accuracy.
STUDENTS’ PERCEPTION ON APPLICATION OF CLASSROOM MANAGEMENT IN LEARNING ENGLISH AT SMPN 13 BANJARMASIN

This study aims to determine Students’ Perception on Application of Classroom Management in Learning English at SMPN 13 Banjarmasin. This research is a descriptive study with a quantitative approach. Place of research at SMPN 13 Banjarmasin. The population was 166 students and a sample of 26 students. The sampling technique uses cluster sampling by drawing randomly. The research instrument used was a questionnaire with 30 questions. The data analysis technique used descriptive statistical techniques in the form of descriptive and frequency distribution. The results showed that the Students’ Perception on Application of Classroom Management in Learning English at SMPN 13 Banjarmasin were in the good category. This shows that the Students’ Perception on Application of Classroom Management in Learning English at SMPN 13 Banjarmasin are felt to have been carried out well.
VaVite: Verifiable Information Exchange for Virtual Asset Service Providers

Virtual Asset Service Providers (VASPs) have recently been faced with increased compliance costs as both national and international bodies bring their due diligence compliance requirements inline with those of traditional financial entities. The `travel rule', as defined by the Financial Action Task Force (FATF) is prominent amongst these and has created a need for efficient compliance solutions for VASPs. In this paper we improve upon current travel rule compliance solutions by utilising a mixed centralised and decentralised approach to provide trust and reduce the compliance burden on VASPs. Moreover, we provide a generic system capable of ensuring compliance with FATF recommendations as well other sanctions and embargoes that impact VASP trading relationships.
¿Cómo afecta el covid-19 el proceso de internacionalización en las Instituciones de Educación Superior?

The rise of internationalization within higher education institutions has been a key factor in institutional processes and policies, generating an impact on them with its fundamental and transversal components. Will the processes of internationalization have to be reinvented, what impact does the Covid -19 have on the components of internationalization, what role do the offices of inter-institutional relations currently play? This crisis is an opportunity for those in charge of international relations offices to integrate with the needs of academic programs and other areas with which they have a horizontal relationship; likewise, the importance of ICTs within internationalization can be demonstrated, helping to facilitate all their internal processes and facilitating classes in a virtual way from different countries. This document will analyze the impact that the pandemic is currently having on the process of internationalization of higher education institutions and its importance as a fundamental area in institutional guidelines and policies and in academic programs. This covid-19, came to reinvent the offices of international relations, to put them on the radar of the entire university community, where these areas should accompany the curriculum management, the redesign of academic programs, and demonstrate the strengthening of the Ori's in a situation that impacts education.
Project-oriented system of professional training of university teachers

The article examines the complex structure of such a complicated educational segment as the system of advanced training for teachers of a modern university. The place and role of such a system in the structure of professional culture and the formation of a specialist’s professionalism is determined. The key problems and crisis points that exist within the framework of this object are identified. At the same time, the main mechanisms for improving and modernizing of the system of improving pedagogical qualifications are identified, the most important of which is the project-oriented training. Within the framework of this definition, the essence and specificity of the project-oriented approach in general and in relation to the system of advanced training of a modern teacher in particular are determined. The main criteria, based on which these systems cross and complement each other, are highlighted. The study performs a theoretical and practical potential that can replenish the existing pedagogical scientific base, and also enters a new stage of theoretical understanding of the problem of improving the professional qualifications of university teachers. This article is based on both theoretical and practical foundations, expressed in the form of an analysis of authoritative scientific sources and in the results of the survey. At the same time, the questionnaire has become a key research method, since it included a survey of more than 200 teachers undergoing regular training in advanced training systems, due to which this work raises new questions necessary for a comprehensive intensification of educational processes in this direction. This method is one of the most effective and promising methods of scientific research.
A STUDY OF JIDDU KRISHNAMURTI’S PHILOSOPHY OF LIFE, EDUCATIONAL PHILOSOPHY AND HIS CONTRIBUTION TO ALTERNATIVE EDUCATION

Jiddu Krishnamurti (1895-1986) was an eminent independent thinker, paramount writer, spiritual orator and one of the greatest philosophers of twentieth century who has influenced the ideology of alternative education throughout the world immensely.He was not an educator in the conventional sense of the term as he had no formal qualification to propound or propagate educational theory or technique. However he has emerged as the most influential critique of schooling, its notions, assumptions and oppressive practices. He has left a lasting impact on schooling and education across the globe by giving a new significance and dimension to the different concepts related to education. Aggrieved by the pervasive consequences of education on life and society, he presented his unorthodox and novel insight into education which he termed ‘Right education.’ Right education as conceived by him is in true sense understanding the significance of life as a whole. Its function is to just help individuals to be true to his/her own self all the time.It is creation of right environment around the child to develop him fully as a complete human being, giving full opportunity to flourish in love and goodness so that he is rightly related to people, thing and ideas to the whole of life.His contribution to alternative education in India and abroad are unforgetable.This study brings forth the urgent need to address the prime concerns of present education from Krishnamurti’s perspective.It intends to trace out the roots of Krishnamurti’s philosophy of life, educational philosophy and asses his contribution to alternative education.Historical and descriptive research methods have been implied and exclusively secondary data has been classified, interpreted and analyzed to carry out this study.
ON THE USAGE OF INTERACTIVE FEATURES FOR TEACHING GERMAN

The problem of computerization as a distinguishing characteristic of a modern educational process is raised in the article. Within this framework the author stouch up on the problems arousing when on line teaching tools and the Internet are used. The authors give their ideas of the utilization of a web-based educational platform during German classes.
Development of Welding Multi-Information Remote Wireless Monitoring System Based on STM32

A single sensor is used to obtain welding information in welding monitoring process, but this method has some shortcomings.In order to obtain more comprehensive and reliable welding information, this paper designed and built a welding multi-information wireless monitoring system with STM32-F407ZET6 as the control core and ALK8266 as the wireless transmission module.Real-time acquisition, transmission and display of electric arc signal and welding image information are realized in the monitoring system.This paper mainly introduces the hardware and software core of the monitoring system.At the same time, the signal collected by the monitoring system is compared with the original signal, and the accuracy of the remote monitoring system is tested.The monitoring system is used in welding test.The test results show that the accuracy of the monitoring system meets the requirements, and the on-line monitoring of electric arc signal and welding image can be realized in the welding process.
A JUDICIAL AND ART EXAMINATION IN THE INVESTIGATION OF MANUFACTURE AND CIRCULATION OF FILES OR ITEMS WITH PORNOGRAPHIC IMAGES OF UNDERAGE PERSONS

The article considers theoretical and practical issues of using the results of forensic and art analysis in the investigation of the production and circulation of materials or objects with pornographic images of minors, as well as their dissemination using the media, including on the Internet. On the basis of expert, investigative and judicial practice, the possibilities of art-based expertise in the examination of images of minors in which there are signs of pornographic information are presented. It is noted that such expertise can be comprehensive when specialized knowledge from other areas is required to address some issues.
PEMANFAATAN DATA MINING UNTUK KLASTERISASI POTENSI PRODUKSI BERAS DI KABUPATEN BLITAR DENGAN MENGGUNAKAN METODE FUZZY C-MEANS

Abstract : Rice production plays an important role in people's lives, where rice is a staple food that is useful so that the body can do various activities because it has an energy source. As an area included as a national rice barn, Blitar Regency has a target to increase rice production every year. Increasing the amount of rice production in Blitar must be increased to keep up with the growing population. In order to maintain and meet the needs of rice, the Blitar District government needs a method to classify rice production potential in Blitar District. The aim is to find out which areas in Blitar Regency have suboptimal rice production results. Thus the clustering technique that can be applied is the method with the Fuzzy C-Means Clustering algorithm. Using the Fuzzy C-Means method is expected to make it easier for the Blitar Regency government to classify agricultural products in Blitar Regency to find out which areas have high, medium and low rice production potential. The results of testing the Partition Coefficient validation value were 0.7695, thus the cluster quality was optimal. Keywords : Data Mining, Clustering, Fuzzy C-Means, Rice, Production, Partition Coefficient
A Review on Design and Development of Dual Axis Solar Tracker Using Parabolic Solar Panel

This paper shows the benefits of dual axis solar tracking system using parabolic solar panel. We are using this method for increasing the power collection efficiency of system. In this method we are developing a device which will tracks the sun and will keep the solar panel perpendicular to sun’s position. For solar tracking in dual axis we are using servo motor and LDR sensors. The sun tracking system that lets Parabolic Dish or PV board orthogonal to the sun radiation during the day, can raise the concentrated sun radiation by up to 30%-40%. The structure subtleties and test study and strategy are appeared
Self-Supervised Learning for Multi-View Stereo

Recent learning-based multi-view stereo (MVS) approaches have shown excellent performance. These approaches typically train a deep neural network to estimate dense depth maps from multiple images. However, most of these approaches require large-scale dense depth maps as the supervisory signals during training. This paper proposes a self-supervised learning framework for MVS, which learns to estimate dense depth maps from multiple images without dense depth supervision. Taking an arbitrary number of images as input, we produce sparse depth maps using structure from motion and use it as self-supervision. We apply reconstruction and smoothness losses to regions where there is no sparse depth. For stable training, we introduce a pseudo-depth loss, which is the difference between depth maps estimated by the network with the current and past parameters. Experimental results on multiple datasets demonstrate the effectiveness of our self-supervised learning framework.
Transformer-Based Anomaly Segmentation

The recent improvement in anomaly detection methods has prompted research into anomaly segmentation i.e. finding the pixels of the image that contain anomalies. In this paper, we investigate novel methods for unleashing the full power of pretrained features for anomaly segmentation. We first present a simple baseline that uses a pyramid of deep convolutional features and show that it significantly improves over the state-of-the-art methods, which are much more complex. One issue with the baseline approach is that it is unable to use the global context of the image effectively. We show that global attention-based methods are better able to utilize the global context. Specifically, we present an approach based on a multi-scale transformer architecture and show that it further improves performance. By analysing the attention maps, we find that they often detect anomalous image regions in a zero-shot fashion, providing some insight into the result. A qualitative evaluation of our method shows significant gains.
Art-therapeutic techniques and methods for working with children of preschool and primary school age

The article reveals a topical topic of research into the influence of specially organized art-therapeutic techniques and techniques on the level of emotional self-regulation of the personality of children of preschool and primary school age. The need to study it is due to the possibility of emotional, creative self-expression of children in the classroom with the use of art therapy techniques and techniques. The study presents theoretical and practical methods. The results of work with teachers in this direction with children of preschool and primary school age are presented.
أرشيف الصحافة المصرية في «مركز الدراسات والوثائق الاقتصادية والقانونية والاجتماعية». دراسة حالة تمثل تحدياً في مجال التعرُّف الضوئي على الحروف العربية

This paper evaluates three commercial Arabic Optical Character Recognition (OCR) systems: Sakhr Automatic Reader (AR) version 11.2 gold; Abbyy FineReader (FR) version 12; and NovoVerus (NV) version 4.2.0 for the digitization of press archives having degraded text quality. In contrast to other similar attempts, we developed our own dataset to study the best specifications and tools in order to realize highest accuracy in the Egyptian press archive project of the Centre d'Études et de Documentation Économiques, Juridiques et Sociales (CEDEJ). We describe the approach of developing the dataset, as well as the effect of different image specifications on the OCR accuracy. Our dataset consists of 30 press-clips that represent different qualities, in terms of image background, text size and other effects due to age and storage. Each sample was scanned in different resolutions and color modes, to produce a set of 180 samples (six versions of each press-clip), then fed to the OCR suites, to evaluate its recognition accuracy. Then, we replicated the procedure that produced the highest consistent OCR accuracy on more than one million press-clips, the corpus of the CEDEJ project, and evaluated its results. In this paper, we mainly introduce an approach to digitize and OCR documents having low quality Arabic textual content, which guarantees high and consistent accuracy. Our approach is based on evaluating OCR suites performance against different image capturing and manipulation specifications.
NTSOAP: A Robust Approach for Non-redundancy Tags of SOAP Messages

XML becomes the most important technology for data exchange and storage with the emergence of the World Wide Web (WWW). Moreover, the size of the XML database has also increased considerably, which causes large size space for storage and a long time for data transfer on the web. The existing XML compression techniques show some drawbacks in dealing with these constraints. Therefore, in this paper, we propose a robust approach for the compression and decompression called: Non-redundancy Tags of SOAP messages (NTSOAP), which removes the redundancy of the tags and the indexed paths in the compressed format. The experimental results show that the proposed technique outperforms all other techniques.
Text mining on product reviews to automatic retrieve product strengths and defects

The aim of this thesis is to apply the text mining and clustering algorithms on the product reviews to automatic extract the strengths and defects of the product on the basis of customer experiences. Analyzing the reviews on a product helps to improve the quality of the product or service. That way, reviews from online shopping sites (such as Amazon) not only help a consumer to buy a product but also can help a manufacturer or seller to know the pros and cons of their product. Amazon star ratings alone are not enough for this. One should go through the text reviews to know specifically which feature of the product is lacking customer satisfaction. But a product may have thousands of reviews and it’s hard for a person to go through all the reviews. Hence, we need a system which can give output that defined the product strength and defects. This project enables the user to view feature based review for a selected category of Amazon products. The data-set which includes product details and customer reviews for product is collected from Amazon.com. The implementation of this system is achieved by using Anaconda Jupyter notebook and Google colab. The Amazon reviews undergo Natural Language Processing and text mining in order to text pre-processing and TF-IDF vectorizer. Then a clustering analysis is made to identify the strengths and defects of the product.