Reviewerly/exHarmony huggingface dataset:
Formation of sign and symbolic activity in junior schoolchildren in the process of acquaintance with information processes

Currently, we are witnessing a digital transformation in various areas of life, including education. Educational institutions are equipped with new equipment, connected to high-speed Internet, a digital document management system is being created, etc. New educational technologies are being developed and existing ones are being modernized, taking into account the possibility of using digital equipment, which contribute to the development of new personal qualities in students, "digital" thinking. The article discusses the impact of the digital transformation of education on the peculiarities of the perception of information by students, on the development of sign-symbolic activity. The functions of sign-symbolic means in activity (communicative, cognitive, substitute), types of sign-symbolic human activity (modeling, coding, schematization, substitution), the influence of social networks and instant messengers on the perception of information by students, the process of change in the perception of written (digital) information are described in the article. Two series of exercises are presented: 1) to familiarize younger students with information processes using the emoji language, 2) to familiarize them with editing information in "distorted texts".
Program Pemberdayaan Mahasiswa Melalui Bimbingan Teknis Penulisan Artikel Jurnal Ilmiah

This program aims to provide knowledge and skills for students who are writing a thesis at the Mathematics Education Study Program, FKIP University of Palangka Raya. The achievement target is that students are able to write scientific articles on research results in their thesis. Partners and the target audiences are 16 students who are writing a thesis at the Mathematics Education Study Program, FKIP University of Palangka Raya. Technical guidance will be held for 3 days from 08–11 October 2021 online using the Google Meet platform. Activities carried out during the stages of socialization, technical guidance, clinical guidance, and evaluation of manuscripts. The evaluation of the manuscript uses the assessment sheet for the relevant scientific journal articles, and the scientific journal accreditation guide (Arjuna). The results of providing technical guidance are as follows. Of the 16 articles, there are 4 articles whose findings are adequate and contribute to the development of science and technology. There are 6 draft articles that have been made by students, which consist of 3 draft articles with all the sub-chapters written by students waiting for the final exam schedule. Almost all draft articles have not met an adequate number of references for a scientific journal article. While the other three are draft articles that have met the requirements to be submitted for publication in scientific journals.
PERSEPSI MAHASISWA BAHASA ASING TERAPAN UNIVERSITAS DIPONEGORO MENGENAI PJJ DARING

Indonesia has implemented number of regulations in response to COVID-19, one of which is the temporary suspension of crowd-attracting activities, including in the education sector. It also effected to the learning process transition from offline to online learning system. The purpose of this research was to ascertain Applied Foreign Language students' perceptions of online learning. This study collects data through descriptive quantitative methods as main data, study literature as secondary data, and survey as data collecting method. The results indicated that some students of Applied Foreign Languages believed that online learning was still ineffective in its application, owing to a number of impediments, including unstable networks, a lack of comprehension of the provided material, a lack of space and time, and an unsupportive learning environment. Therefore, this research is supposed to serve as a tool for related parties in evaluating and seeking solutions over the issues that occured
PENGUASAAN KOSAKATA BAKU DAN TIDAK BAKU: SEBUAH STUDI KASUS MAHASISWA UBD

This research discusses the mastery of standard and non-standard vocabulary by students of Bina Darma University. The purpose of this study is to describe the ability of Bina Darma University students in determining standard and non-standard vocabulary. The determination of standard and non-standard vocabulary is carried out by providing a multiple-choice objective test totaling 20 vocabulary words. This study is about a population study with a total of 50 data derived from the answers of Program Studi Pendidikan Bahasa Indonesia students of UB. This reserch is a descriptive study. For this reason, the right analysis technique is the percentage analysis technique. The percentage obtained by students in this study will be calculated by this formula . Based on that thing, an average result is 61.1% of students was declared able to distinguish between standard and non-standard Indonesian vocabulary. From this figure, it is concluded that PBI UBD’s students have sufficient abilities in the percentage range of 61-70 with a C grade
Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ability to choose an objective function different from that of the classic problem of more economical design while allowing the use of constraints on any possible variable during planning, including financial resources. The number of corresponding solutions concerns the issue of optimal design of security strategies with a simulation that lies in game theory, with players, the defender on one side defending the system managing the available options of strategic solutions, and the attacker, who chooses the way to strike the system, based on some attack scenarios that cannot be easily predicted. The inherent difficulty of implementing the proposed solutions lies in the combined explosion of all possible combinations that make up the solution space, the complete examination of which requires a lot of computational time and computing resources, to the point that their use becomes unprofitable. This weakness is attributed to even minor problems, and the possible strategies available to the defender are finite but at the same time numerous. To solve the abovementioned problem, the work proposes a hybrid system that aims to identify the best possible approach in the theoretically optimal solution in a short time and with minimal computing resources. Specifically, a heuristic optimization methodology is used with overlapping answers between two contiguous neighborhoods based on the Bloom Filters structure that supports fast listings and searches. This methodology, which is evaluated in optimizing safety strategies in the sports industry, brings about 40% optimization.
Automated Optimization of Web Interfaces and Application to E-commerce

As the spirit of PC, programming has increasingly more significant effect on humanbeings. GUI (Graphical User Interface) innovation is generally utilized as a result of its accommodating point of interaction and simple activity. The meaning of ideal position is setting explicit; it targets augmenting quantifiable parts of the client experience, and it is determined utilizing master information installed in the framework, which depends on HCI standards, client studies, and information examination. The Quality of web applications are currently prima center. As mostof the exchanges like online business, banking and e-administration are done on the web, having a web application to accompany quality factors and secure is presently the need. It has been observed that stylish elements are unequivocal in choosing the nature of web application. The framework recognizes the site classification, assembles a format model, contrasts it and the pertinent ideal model, and suggests an elective design of intelligent components. The framework is carried out as an open-source programming, and it at present backings the re-situating of a solitary intuitive component. In the paper, we talk about a further speculation of this way to deal with help a bigger number of intuitive articles in a more extensive range of situations.
The integrated lesson in literature and informatics “Pocket-sized man” (VI class)

The article describes the conduct of the integrated lesson in literature and informatics. This lesson is dedicated to the 200th anniversary of the birth of N. A. Nekrasov, which was celebrated on December 10, 2021. At the lesson, students get acquainted with the work of the great Russian poet and writer N. A. Nekrasov “Peasant children”, learn about how children lived in the past. In the Scratch programming environment, students create an animation (cartoon) based on an excerpt from the poem “Peasant children” “Pocket-sized man”. The lesson is aimed at forming students’ ideas about the life and work of N. A. Nekrasov, developing interest in project activities and programming, encouraging students to use the Scratch programming environment to create multimedia projects. The lesson provides conditions for mastering the basic universal educational activities of an informational nature, such as posing and formulating a problem; search and selection of necessary information, application of information retrieval methods; structuring and visualization of information; selection of the most effective ways of solving problems depending on specific conditions; independent creation of activity algorithms in solving problems of a creative and exploratory nature.
About the development of the course of choice "Basics of programming in Python" for pre-profile training of schoolchildren

The article discusses some aspects of pre-profile training of schoolchildren, provides components of pre-profile training. The role of pre-profile elective courses in the professional self-determination of schoolchildren is determined under the conditions of the Federal State Educational Standards of General Education. Attention is focused on the relevance of pre-profile programming courses. The choice of the Python programming language for these courses is explained by its versatility and the ability to increase functionality through libraries, as well as the ease of learning the language due to the peculiarities of writing code. The program of the elective course "Basics of Programming in Python" is presented, including the goals and objectives of the course, planned learning outcomes, learning content, explanations for the implementation of the course, thematic planning, logistical and educational support. It is of interest to implement the learning process in the context of working on a real project. The structure, content and design of the educational site developed for teaching the course are also described. The possibility of using the site in the classroom and for independent work of schoolchildren at home is noted.
Online Proctoring Using Aritficial Intelligence

This study addresses the current issues in online examination, which are particularly relevant during the online mode of exams. Our focus is on academic dishonesty associated with online assessments. Allowing students to take exams from home through online where they will be monitored by a proctor for the whole duration of the exam was quite difficult. Further implementing this process at a large scale will not be plausible due to the workforce required.To overcome this problem, an artificial intelligence (AI) in python is used,which can able to monitor the students using their laptop or system webcam and microphone itselfand would enable the invigilator to monitor multiple number of students once at a time, e-cheating intelligence agent is a mechanism for detecting the practices of online cheating, which is composed of two major modules: the internet protocol (IP) detector and the behavior detector. The intelligence agent monitors the behavior of the students and has the ability to prevent and detect any malicious practices. A novel approach for the detection of cheating during e-Exams is presented using convolutional neural networks (CNN) based systems. This system will help the proctors to identify any kind of uncertain event at the time of online exams. Keywords:Online mode, e-cheating intelligence agent, online cheating, internetprotocol and behaviour detector.
Future of education and research: preliminary thematic analysis

There seems to be a crisis in education and research. The education landscape looks fragmented, expensive and yet fails millions. A common perception is that, armed with cultural and social capital, the ‘sharp elbows of the middle classes’ game a commodified system to amass credentials. The media rails against learning institutions that inflate grades to cover up failings. Some academics game the system or churn out indigestible papers of negligible practical social impact. In an effort to unravel some of these issues and sketch the future of education and research, the study conducted a preliminary exploratory thematic investigation. First, it chose six credible institutions in the field. A brief review of associated web content chose prominent ‘sound bites’. In Phase II, the author identified relevant journal articles, using a focused rather than structured or systematic approach. Finally, in Phase III, the inquiry creatively and interactively grouped the collected secondary martial into themes, underpinned by reflection on decades of embedded teaching experience in a dozen schools or colleges and seven universities. The convenience sampling and judgemental analysis generated ten themes from recent seminal discourse on the future of education and research: TENSION PARADOX, ECOSYSTEM ENRICHMENT, PHRONESIS vs. COMMODIFICATION, ACCESS vs. ELITE CREDENTIALISATION, STRATEGIC COLLABORATION, NURTURING EMOTIONAL &amp;amp; SOCIAL WELLBEING, FUNDING/RECONFIGURING CAPITALISM, JUDICIOUS TECHNOLOGY, INVESTMENT IN PEOPLE, DEMOCRATISING DIALOGUE. The most salient dimensions were PHRONESIS vs. COMMODIFICATION and STRATEGIC COLLABORATION. In effect, much recent managerialist educational reform (notwithstanding its transformative gloss) seems, actually, fundamentally misguided. Second, impactful research in, for example, deep tech, resilience or health calls for strategic interdisciplinary collaboration.
Sentiment Analysis with CNNs and LSTMs

In this paper we describe our attempt at producing a state-of-the-art senti- ment classifier using Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTMs) networks. Our sys- tem leverages a large amount of unlabeled data to pre-train word embeddings. We then use a subset of the unlabeled data to fine tune the embeddings using distant su- pervision. The final CNNs and LSTMs are trained on the SemEval-2017 Twitter dataset where the embeddings are fined tuned again. To boost performances we ensemble several CNNs and LSTMs to- gether. Our approach achieved first rank on all of the five English subtasks amongst 40 teams.
THE NORMALIZATION OF FRAUD IN NIGERIA

The proliferation and widespread use of the internet in Nigeria has resulted in the emergence and spread of a wide range of computer-and internet-enabled device-related crimes. Identity theft, fraudulent electronic mail transmission, hacking, spamming, and machine spoofing are just a few examples of internet-facilitated crimes. This paper is an excerpt from the same author's unpublished book, "In a Time of Fraud: The Untold Story of the Nigerian Fraudster." Through participatory observations, surveys, and interviews, it aimed to expose the methods of internet fraudsters in Nigeria, also known as Gboys / Yahoo-boys, who operate in organized crime groups (OCGs), also known as Hustle Kingdoms (HKs). This paper attempts to demonstrate how widespread and interconnected the fraud networks and acts are in Nigeria and throughout Africa, as well as the complicity of the Nigerian police and the belief systems that fuel them. and , and , , OCGs, and ,
Quantum Advantage on Machine Learning Models

Abstract Quantum machine learning is one of most exciting prospective applications of quantum technologies. Quantum kernel SVM is one of most popular methods for classifiers. However, there are few reports that show the quantum advantage in learning model construction compared with classical learning models. In this work, we investigated the process of learning model construction of quantum machine learning by using an evaluation index and ROC space graph. The behaviour between quantum and classical machine learning is different, and the quantum learning model is the method to decrease the false positive rate from high false and true positive rates that is based on quantum superposition. In summary, we have demonstrated the effect of quantum superposition on quantum machine learning for the first time from actual experimental results. This truth supports that quantum machine learning can build an outline of learning models faster than classical methods even if the number of original data is smaller.
Review Paper on Online Crime Reporting System

In this project we are creating an online crime reporting system software which can accessed by people's the department. In India the public was afraid of the false grievances regarding the department of government. With Online Reporting System public can report a crime without any fear and they can easily contact the department where they can solve the problem in effective manner and department can easily catches the criminals by checking the previous record from inferior data. This computer software is safe and protective for the user as well as for department and admin because there will be no leakage of any generous of information Here we want to create an online crime reporting system software which is well accessible to the general public, the department of local government and there-fore the body department. The traditional public in Asian country is afraid to lodge a grievance as a result of their full of a false worry regarding the department of local government. A web grievance registering system can allay the fears of the general public and can conjointly facilitate within the public serving to the department of local government in catching criminals. This system has been taken as a protective and safety based application for both public and government interest. Keywords: Complaints, Crimes, Investigations etc.
The Discussion of the Conclusion and the Effect of US-Japan Trade Agreement

Purpose: The purpose of this study is a discussion of Trade Agreement in products and the Digital Trade Agreement between US and Japan. This study contains an investigation of the process and the highlight of the agreement. By the trade agreement, US has obtained the Third biggest agricultural market which came after the decline in the nation’s trade deficit with Japan and the opening of agricultural market. In contrast to US, the aim of Japan’s trade agreement was avoiding tax-increasing on cars and its components. In this study, the issues and arguments caused by these different aims of the agreement will be analyzed. Research design, data, and methodology: The contents of the study are 1) an investigation on the details of US-Japan Trade Agreement, 2) an analysis of the highlight of Trade Agreement in products and the Digital Trade Agreement, 3) a comparison of importation of tax-decreased products by the trade agreement, 4) an investigation on the safeguard of Japan which was instituded during the trade situation, 5) the conclusion of this study. The contents of the study has its value in analyzing the issues and the arguments of these trade agreements. Results: The comparison of Japan’s importation with US between 2019 and 2021 is as follows. The percentages of foods and chemical products did not show meaningful change. The figure in ordinary machines and Electric devices has decreased. Meats and grains account for the 62.5% of total food which were 452.4 billion yens and 516 billion yens respectively. US’s importaion with Japan after the agreements accounts for about 5%(6.6 billion dollars) of total importaion with Japan. The importation percentages were ranked as follows: Ordinary machines, components of non-metal products, electric devices, optical instruments, metal products. The rates of these products have not changed in a meaningful figures. Only a few products have changed. The figures of ordinary machines, electric devices, rubbers have decreased. Implications: The trade between US and Japan was enlarged after the trade agreements between two countries. US oppressed Japan in order to compensate a loss which was caused by withdrawal from the TPP. Japan approached to the agreement with US to avoid tax-increasing in cars and its components. This study is challenging since the study was conducted not long after the agreements. However, the results in this study are valuable as one of the first researchs about the effect of US-Japan trade agreements.
IMPLEMENTASI PENDEKATAN KONSTRUKTIVISME DALAM PEMBELAJARAN MENULIS TEKS EKSPOSISI SISWA KELAS X SMAN 1 SEBERIDA

This study aims to determine the level of students' ability to write expository texts through a constructivism approach. The class that was used as the experimental class was class X MIPA A, which amounted to 35 students with a sample that would be used as many as 30 students. The data of this research is an essay test instrument which is carried out at the time of the pre-test before the learning process is carried out, and the post-test which is carried out after the learning process is carried out. From the results of the study, the average pre-test was 60.63, and the post-test average was 81.93. From the results of hypothesis testing, it was obtained that tcount &lt; ttable at the 95% confidence level or 1-5 percent, namely 0.7428 &lt;2.0450, so the average post-test value in the experimental class was significant. Based on the results of the study, it can be concluded that learning using a constructivist approach can help improve students' ability to write expository texts, which can be seen from the average value of pretest to posttest.
DATA MINING USING NAIVE BAYES IN E-COMMERCE

Data mining is extraction of information, data mining can be used to find solution to complex problems. Naïve Bayes theorem calculates the each possible hypothesis and outputs the most probable one. In this paper data mining techniques that can be applied in various computer system. Data mining is the extracting required data from large set of rawdata. Data mining is also used in multimediaAlgorithms and statistical methods are also used to find patterns in data . Marketing, risk management, fraud detection, cyber security, and medical diagnostics all use data mining techniques. KEY WORDS: Data mining, naive bayes, classification, e-commerce.