Reviewerly/exHarmony huggingface dataset:
ORGANIZATION OF INDEPENDENT WORK OF BACHELORS IN THE FIELD OF ECONOMICS WHEN STUDYING MATHEMATICS

The article notes the importance of independent work of students as an obligatory element of the educational process, discusses the issues of organizing independent work of bachelors-economists when they study mathematics at the Samara State Transport University. A model of organization of independent work of students and its control in preparation for lectures, practical classes, tests and exams, in the performance of control work is given, which allows resolving the contradiction between the need for careful organization of independent work and the teacher's lack of time for its development and implementation. The research materials are applicable to the teaching of full-time students, because. The organization of the IWS of part-time and part-time forms of education differs significantly in the limited time of direct communication between the teacher and students. The SIW is the most important component of the educational process at the university, and therefore the teacher is required to competently and comprehensively organize and control it. The model of organization of independent work of a bachelor proposed in the paper does not require significant labor and time costs from the teacher, while it contributes to the formation of skills and abilities to develop the qualities of students necessary for mastering general cultural and professional competencies.
STUDENTS’ PERCEPTION AND MOTIVATION TOWARD ENGLISH E-LEARNING DURING COVID-19 PANDEMIC AT NINTH GRADE OF MTSN 1 SERANG CITY

COVID-19 pandemic has resulted in the shifting of teaching-learning process replacing with E-learning. This research aimed to knowing the students' perception and motivation towards English E-Learning during Covid-19 pandemic at MTSN 1 Serang City. This research generally answered two questions as follows: 1) What are students’ perception toward English E-learning during covid-19 pandemic? 2) How are students’ motivation toward English E-learning during covid-19 pandemic?. In this research the technique of collecting data researcher used interview and questionnaire method. There were 20 students of ninth graders at MTSN 1 Serang City participated in this research. The research instrument of this research is researcher herself. Since this research explored the students’ perception and motivation which coming from the students’ experiences during covid-19 pandemic, this research was applied descriptive qualitative design. The findings from the data analysis, students give positive perception toward English E-learning, because the process of learning English is easier with E-learning and E-learning can foster students’ interest and motivated in learning English. Even though students found problems in implementing English E-learning, students also found learning English through E-Learning is quite effective.&#x0D;
An Empirical Evaluation of the Effectiveness of the Computer-Based Network Security and Firewall in Banking Systems

As more banking operations are migrated into the digital platform, customers have continued to enjoy better seamless banking services. In consonance with this, concerns have also continued to rise about the effectiveness of the strategies adopted by banks to mitigate different forms of attackers targeted at operational platforms by unscrupulous elements. Using a case study, this paper evaluates the effectiveness of the Computer-Based Network Security and Firewall In banking Systems. This study employed the use of online questionnaires as a means of data collection. Our study adopted the survey method to access the subject matter. Findings from the research showed that Nigerian banks rarely experience malicious attacks of any form on their systems and equally identified network security strategies adopted by Nigerian Banks. An application was developed using C# to further contribute towards the security of banking systems Keywords: Banks, Systems, Security, network, cybercrime, Fraud, Cyber Criminals DOI: dx.doi.org/ Available online at www.isteams.net/mathematics-computationaljournal.
Cyber felony in India

Cyber felony can be defined as an "illegal act in which a computer is a tool or a goal or both". Late, the use of computers has become extremely coarse and amateur. With the intention of regulating felony activities in the cyber world and protecting the technological advancement system, the Indian parliament approved the law on IT Act, 2000. It was the first global law of India to deal with machinery in the field of e-commerce, e- governance, electronic banking services, as well as penalties and punishments regarding computer felonies. This document will discuss the common types of cyber felony and measures to prevent cyber felony. KEYWORDS: Cyber bullying, cyberspace, phishing, spam.
Literature Review of Usage of Database Management Systems helps in Agriculture fields

This includes a review of the uses and applications of Database Management Systems in the Agriculture field.Agriculture produces more products by cultivating certain plants and raising domestic animals.Furthermore, this includes the Design of the Agricultural Database, Functions of Farm Level DBMS to Farmers.The middle part discusses the information of Database in Livestock, Uses of Livestock database management systems, Database in Cropping, Crop -Soil Database Management, Uses of Crop -Soil Database, Objectives of Crop -Soil Database, Uses of databases for remote detection of crops, DBMS for Watering Function in Agriculture, and finally Overall Usage and importance of Databases Management Systems.
Rancang Bangun Animasi Interaktif Berbasis Multimedia Pada Pengenalan Dasar Bahasa Jepang

The use of language as a medium of communication is currently important. Language is a way to communicate and interact with other people. Selain bahasa inggris yang menjadi bahasa internasional, terdapat beberapa bahasa negara lain yang juga tidak kalah diminati untuk dipelajari, salah satunya adalah bahasa jepang. Japanese language has a unique writing and pronunciation structure, so it takes persistence in learning it. However, the use of letters, sentence structure, and grammar structures that are different from Indonesian grammar makes it difficult for beginners to learn Japanese. The author tries to create an application that connects the multimedia functions on the computer with the knowledge of basic Japanese language introduction. In this study, using the waterfall software development method in making animation of basic Japanese language introduction. The result of this research is an animation that discusses the introduction of the country of Japan, the letters used in Japanese, greetings that are often used in everyday life, and how to introduce oneself in Japanese which is presented in the form of interactive animation so that it can help users. to understand basic Japanese.
Circle Detection Using Morphological Operations

Circle detection is the very important and challenging field in image processing. In previous few decants the field of fining and detection of circular objects in images gain more attention because the location and additional information of circular object in the image can easily be find when a circle is extracted in that image so that information can be used in industries and businesses in many ways. The circle detection is today commonly used in computer application i.e. Computer vision applications and in the field of robotics to detect and recognize the circular objects. In measurement based images the circle detection is the most important task and necessary task. In my article I used a method that detect circle in the image with fast calculations and in short time instant of these methods that perform heavy calculations that consume processing power of GPU as well as time in circle detection. This method uses a simple algorithm that detect circle using simple calculations
A Path Analysis of Teacher Effectiveness as Estimated by Leadership Behavior, Communicative Competence and Self-Efficacy of Teachers in San Isidro, Davao Oriental

This study determined the level of self-efficacy, communicative competence, leadership empowering behavior of administrators and teacher effectiveness of teachers in San Isidro North Davao Oriental Division. A descriptive correlational design was used in this study. A total of 75 teachers participated in this study. The respondents were selected through total enumeration since there were only a few teachers in the district. The survey questionnaire was utilized to gather data from the respondents. Mean was utilized to determine the level of self-efficacy, leadership empowering behavior, communicative competence and teacher effectiveness of teachers. Pearson product-moment correlation was used to investigate the relationship between variables. Multiple regression analysis was used to analyze the influence of self-efficacy, communicative competence and leadership empowering behavior on teacher effectiveness. Furthermore, the best fit model of teacher effectiveness was also investigated. Results revealed that levels of self-efficacy, leadership empowering behavior, communicative competence and teacher effectiveness are high. Moreover, self-efficacy, leadership empowering behavior and communicative competence were found to have a significant positive relationship with teacher effectiveness. Furthermore, both communicative competence and leadership empowering behavior significantly influence teacher effectiveness. Hence, the best fit model illustrates that 28 percent of the variance of teacher effectiveness is explained by the combined influence of communicative competence and leadership behavior.
Transforming Scientific Results into Educational Materials - Added Value of a Research Project

In recent years, there has clearly been a trend towards widespread dissemination of scientific results and achievements by sharing them in the form of educational materials. The application of the results of a research project in the education and knowledge development of students, young researchers and scientists, brings an added value to the outcomes of the scientific project. This work aims at contributing to the global process of free access to scientific materials by sharing the experience of a research group from the Medical University of Varna (MUV) in systematizing the results of three research projects, their transformation into educational resources and their application in innovative courses. The consolidated and systematized results of a research project are valuable assets for development of innovative educational materials. These resources, uploaded in a shared online repository, contribute to strengthen the international scientific community networking.
ROBUST KEY REVELATION OF PUBLIC AUDITING PROTOTYPE FOR SECURE CLOUD STORAGE

In cloud storage the data clients can remotely store their data and use on-demand high- quality applications. Data outsourcing users are reassured from the trouble of data storage and maintenance when users put their data in huge size on the cloud, the data integrity protection is a challenging one which enabling public audit for cloud data storage security. Users can ask an external inspection of third party to check the integrity of the out sourced data. However, in such a scheme, the malicious cloud might still forge valid authenticators later than the key-revelation time period if it obtains the current secret key of Data Client. In this paper, propose a prototype named Robust Key Revelation of public auditing for secure cloud storage, in which the security of cloud storage auditing not only earlier than but also later than the key revelation can be preserved. Formalized the definition and the security model of this new kind of cloud storage auditing and design a concrete scheme. In this proposed prototype, the key revelation in one-time period doesn’t affect the security of cloud storage auditing in other time periods. The accurate security proof and the experimental results demonstrate that this proposed prototype achieves desirable security and efficiency with the time intervals. Keywords: Secure Cloud Storage, Robust Key Revelation, Security, Data Client, and Public Auditing.
An Automated Video Content Customization System using Eye Tracking and Artificial Intelligence

In the past few years, the internet and online social networks developed drastically, promoting the development of online learning programs. These programs provided opportunities for a digital learning experience that allows students to explore beyond what's taught in school. However, having a clear understanding of what topic might interest the user and motivate the user to further explore that topic is hard for both the user and the learning program. This paper proposes to create one centralized method of predicting what the user would be interested in and provide them with educational content recommendations. Our design builds upon the eyetracking techniques, which allows us to capture users’ eye movements, and object recognition achieved by machine learning, which allows us to examine the specific object that the users are looking at and provide data for the users’ interest analysis [3]. Our results show a success rate of 90% of analyzing what the user is truly looking at. We used our decision heuristic, etc.
Fault Port Detection Based on Hadoop

With the continuous improvement of China’s broadband optical network capabilities, the focus of users’ attention has shifted to application perception. The problem of frequent broadband disconnection has long plagued first-line units and greatly affected users’ trust in broadband quality. Aiming at the problem of long processing time and difficult location of boardband frequent offline fault, this paper proposes a Hadoop-based fault port detection scheme. Hadoop distributed file system is used to store the user’s online and offline data, and MapReduce is used for parallel calculation. Then, the fault port is located through the correlation of time series. Finally, the data is transmitted to the database of the display system through Sqoop In the display system, the fault situation of the whole network users is analyzed. Frequent offline failures change from the original user’s application to community maintenance to the detection platform’s self discovery of fault ports, which is a successful practice of cloud network integration big data operation, and also reduces the burden of operation and maintenance personnel.
CURVE ESTIMATION AND ESTIMATOR PROPERTIES OF THE NONPARAMETRIC REGRESSION TRUNCATED SPLINE WITH A MATRIX APPROACH

Regression analysis is one of the statistical analyses used to estimate the relationship between the predictor and the response variable. Data are given in pairs, and the relationship between the predictor and the response variable was assumed to follow a nonparametric regression model. This model is flexible in estimating the curve when a typical data pattern does not follow a specific pattern. The nonparametric regression curve was approached by using the truncated spline function with several knots. The truncated spline estimator in nonparametric regression is linear in the observation. It is highly dependent on the knot points. The regression model's random error is assumed to have an independent normal distribution with zero mean and equal variance. The truncated spline's curve estimate was obtained by minimizing the error model through the least squared optimization method. The nonparametric regression truncated spline's estimator properties are linear, unbiased, and if the error is normally distributed, the estimator is normally distributed.
SISTEM MANAJEMEN SURAT BERBASIS WEB DI STMIK KOMPUTAMA MAJENANG

In the agency administration, the letter is an important means. Important information related to the agency and the secret is embodied in it . The timeliness of receipt of both outgoing and incoming mail should also be considered, therefore the management of incoming and outgoing mail must be implemented correctly.&#x0D; At this time, the procedure is applied to the management of incoming and outgoing mail to the Division of Administration of the STMIK Komputama Majenang from receipt, manufacture, storage, documentation, to verify the letter, all done conventionally. Documentation of incoming and outgoing mail only in the form of writing in the ledger. While on the stage of filing a letter only a hardcopy document storage.&#x0D; The Administration of STMIK Komputama Majenang felt the need to change the mail management method they are currently using, into a computerized and automated mail management method. With the Incoming and Outgoing Mail Management Information System, it is expected to be able to manage incoming and outgoing mail according to the specified flow, and can solve current problems. The filing of letters is done electronically, namely the storage of softcopy documents, and is equipped with reports of incoming and outgoing letters both daily and per period. In addition, this application also helps monitor the disposition of letters at the verification stage. The research methods used to solve various problems that occur are literature, observation, interviews, data and system analysis, system design, program development, program testing, program implementation. The result of this research is to produce an application that can manage incoming and outgoing mail according to the specified flow, and can solve current problems.
SİBER DEĞERLERİN EĞİTİMİNDE WEB 2.0 ARAÇLARI: BİR EYLEM ARAŞTIRMASI

In this study, it is aimed to make students recognize the values in the virtual environment and to examine the students' views on the values in the virtual environment.For this purpose, the study was designed in the action research pattern, which is one of the qualitative research methods.The study group consists of 15 students studying at secondary school in Ankara in the first semester of the 2020-2021 academic year.For this study, two different games named "Our Cyber Values" were developed in the LearningApps.orgapplication, which is one of the web 2.0 tools.First, a brief information about the values in the virtual environment was given to the students.Then the link of the games was sent to the students.After the game, the 'Values Questionnaire', which was developed to examine the students' perceptions of cyber values, was applied to the students.The answers of the students were analyzed by descriptive analysis method.Students stated that values such as tolerance, respect, love, being a peaceful person and helping each other should be used in the virtual environment as in real life.They said that with these values, the internet will become more reliable, enjoyable and efficient.The developed "Cyber Values" games can be used in studies to be carried out within the scope of safe internet use and media literacy for secondary and primary school students.In addition, contributions to values education can be made through online games to be developed.
Using codes in place of DNA Sample in Databases to reduce Storage

Biological data mainly comprises of Deoxyribonucleic acid (DNA) and protein sequences. These arethe biomolecules that are present in all cells of human beings. Due to the self-replicating property ofDNA, it is a key constituent of genetic material that exists in all breathing creatures. This biomolecule(DNA) comprehends the genetic material obligatory for the operational and expansion of all personifiedlives. To save DNA data of a single person we require 10CD-Rom's. In this paper, A lossless three-phasecompression algorithm is presented for DNA sequences. In the first phase the dataset is segmentedhaving tetra groups and then the resultant genetic sequences are compressed in the form of uniquenumbers (e.g Array Index) and in the second phase binary code is generated on the bases of array indexnumbers and in the last phase the modified version of Run Length Encoding (RLE) is applied on thedataset.The newly proposed technique has been implemented and its performance is also measured on samples.It has achieved the best average compression ratio. After Storing different DNA Samples.
Wacom Media as an Alternative in Kanji Beginner Learning for College Students in the Pandemic Period

The Covid-19 pandemic has changed the education system into distance learning that requires media to deliver materials.Media are needed to help the implementation of a kanji learning is no exception.Kanji skills courses must be mastered by students.Wacom can be used to practice how to write kanji.This study aims to determine the extent of understanding kanji for novice students in recognizing kanji, knowing how to write kanji, understanding how to read both On and Kun readings, and comprehending bushu to understand the meaning of the whole kanji.Descriptive qualitative analysis was used in this study and the form of oral and written tests were used as the research instrument.Respondents, who were involved in online learning, were Unesa Japanese Language Education Study Program students.The results indicated that the process of learning kanji for beginners with the Wacom media were not disappointed.They are proven that students are fluent in reading kanji, explaining On and Kun, knowing bushu to understand the meaning of whole kanji letters.Furthermore, the results of both written and oral tests showed positive responses from the respondents that Wacom media helped them in mastering kanji and provided many benefits for students.
Graph Model and Deep Learning for Topic Labels in Classifying Short Texts of Scientific Article Titles

In an article searching system, topic categorization could guide researchers in finding the appropriate documents among the abundant availability of scientific articles.Because they are easily obtained from the internet, there is a preference for using short texts to full-text articles for data collection of the searching system.However, topic label scarcity becomes a problem, especially when preparing the system in a cold-start situation or without predefined topic categories.Typical topic analysis with a statistical-based unsupervised Latent Dirichlet Allocation (LDA) identifies clusters of words or topics based on the word distribution to overcome the label scarcity.For ease of use, words in LDA topics are manually observed, and some are set as topic names.Lower precision happened when tagging other articles using the LDA topics for the searching system preparation with categorization or classification approach.The precision values could be influenced by too many identified LDA topics.Thus, the overlapped context in the LDA results is possible since the same words appear in different topics, leading to many false positives.Here, the instigated problem is making classification results have comparable accuracy and precision values with the existing data condition of no topic labels and overlapped context when identifying topics.The problem solution is motivated to consider the word relations with others when identifying topics to differentiate the word context.Therefore, our contribution is to investigate LDA and relationships between words as a graph with a prevalent neural network model of deep learning called Graph Convolutional Network (GCN) for automatically determining the topics before examining them in classification tasks.Guided by the proposed framework, we synthesize training samples to make the dataset for LDA topics more similar in contexts.The empirical analysis through the experiments has thoroughly evaluated the LDA topics as a baseline to compare the results of statistical based (LDA) and Deep Learning based topic identification (Deep LDA) to ensure the topic quality.Then, we compared the usage of GCN with other frequently used text classifications.The classification results showed that the graph representation used to capture the subject context relationship between keywords in GCN has supported the balance between accuracy and precision.