Reviewerly/exHarmony huggingface dataset:
CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data

With the continuous expansion of the banks' credit card businesses, credit card fraud has become a serious threat to banking financial institutions. So, the automatic and real-time credit card fraud detection is the meaningful research work. Because machine learning has the characteristics of non-linearity, automation, and intelligence, so that credit card fraud detection can improve the detection efficiency and accuracy. In view of this, this paper proposes a credit card fraud detection model based on heterogeneous ensemble, namely CUS-RF (cluster-based under-sampling boosting and random forest), based on clustering under-sampling and random forest algorithm. CUS-RF-based credit card fraud detection model has the following advantages. Firstly, the CUS-RF model can better overcome the issue of data imbalance. Secondly, based on the idea of heterogeneous ensemble learning, the clustering under-sampling method and random forest model are fused to achieve a better performance for credit card fraud detection. Finally, through the verification of real credit card fraud dataset, the CUS-RF model proposed in this paper has achieved better performance in credit card fraud detection compared with the benchmark model.
The research of autonomous learning aptitude of students of economic specialities

The article deals with the concept of autonomous learning in the context of teaching students majoring in economics and a study of the readiness of higher education students for autonomous learning was conducted. It is determined that autonomy means the ability to be responsible for a productive learning and provides an opportunity to choose materials, resources, learning strategies, taking into account students’ individual needs and opportunities, while predicting personal control over the content, process and results of studying. A survey on the readiness of students for the autonomous learning in the process of studying selective disciplines showed the students’ low ability to plan their own learning activities and almost complete lack of ability to adapt to the changes of a learning context. At the same time, a high percentage of students who can form their own learning goals and evaluate the results of their own learning was identified. The survey also demonstrated the respondents' high willingness to identify their own weaknesses in their learning process and the average level of motivation for own studying. It is generally known that motivation is considered as an important factor in the development of autonomous learning. It is noted that internal and external motivation can affect the end result of learning. It is concluded that the formation of the competence of autonomous learning is one of the priority tasks of higher education, since it meets the needs of the society in specialists capable to autonomously acquire knowledge, skills and abilities, adapt to constantly changing professional conditions.
Modelling Water Consumption Efficiency Based on Perlis State Soil Series

Water is a limited resource for Perlis state. Domestically, meeting the water supply in the state requires improving the current supply facility and repairing water leakages in the supply system. However, an even more important aspect of water resources management is the water consumption from agricultural activities such as the over-irrigation in the crop field. This study identifies the soil series of Perlis state, determines its soil textures, estimates the field capacity, permanent wilting point, and plant available water. Additionally, the water infiltration studies were carried out. Results showed there were ten soil series present in the state, and this soil can be categorized by four soil textures that the clay soil texture dominates in seven soil series. Fully saturated soil in the Perlis state potentially losses 27-56% of its soil moisture content drains by gravity, which is unavailable to crop consumption, hence, wastage. An estimated 1.7 x 10-4 to 2.1 x 10-3 m/s water infiltration rate over the soil depths from 0.15-1.5 m. Knowing the soil surface area for the crop field allows the estimate of water volume needed in a unit time needed for storage tank estimation and distribution system designs. The water requirement increases by including the water evaporation rate into the water infiltration rate.
Kecemasan Berbahasa Asing Anak Sekolah Dasar Dalam Pembelajaran Bahasa Inggris

This study explores the foreign language anxiety of elementary school children in learning English in elementary schools in Marga District, Tabanan. English is a local content learning. The result is as follows. Researchers found how the occurrence of student anxiety in learning English and the factors that cause it. In general, this is due to (1) the lack of time allocation for them to get English lessons, (2) they get more theory in class than they get direct practice in the field, (3) they rarely use English because in the family and society they rarely do it. Communication in English. Then specifically, the factors that cause them to be anxious are (1) Their lack of confidence in using English, (2) Fear of negative judgments, and (3) Fear of being inferior to friends or fear of being compared to friends.
Expression: How to Compute

One of the basic building blocks of programming languages is the expression, which serves to describe a logical or mathematical relation. In this chapter, you will learn how exactly an expression denotes relations between objects, how expressions can be used in statements, and how the objects can be labeled by names.
A General Performance and QoS Model for Distributed Software-Defined Environments

[J1C2 Presentation Abstract at IEEE SERVICES 2022 for IEEE Transactions on Services Computing]
Main directions of modern library science (according to the materials of the interlibrary scientific collection)

The article is devoted to the peculiarities of content of scientific-practical and theoretical collection "Libraries of National Academies of Sciences: problems of functioning, tendencies of development". Revised topics of publications, the author's composition, the purpose and readership of the publication for the entire existence of the publication on topical issues of bibliography, library science, bibliography and social communications are considered. The priority directions of development of modern academic library are determined on the example of rubrics of the collection as a complexly structured system of scientific knowledge: general, special, partial, which cover all directions of information and library support of modern science. The meaningful coverage of published research is a qualitative indicator of the cultural and informational life of scientific libraries, which have significant intellectual potential and valuable historical and cultural funds.&#x0D; The issues of the collection of scientific works cover the set of topical issues of development of the information sphere of society and achievements of scientific libraries in the context of the evolution of information exchange due to the introduction of advanced information and telecommunication technologies. Thus, with the development of librarianship and the growing social role of libraries, library science is a multidisciplinary interdisciplinary science with extensive interdisciplinary connections.&#x0D; It is concluded that the modern organization of library science requires the formation of innovative strategies for the development of scientific libraries based on the integration of all information and communication potential of each country. The articles published in the collection are of high scientific level and novelty, their topics reveal the priority areas of academic library, they are a significant contribution to the development of modern theory and practice of academic library.
Instruction Tools Recommended for Second Language Acquisition for Learners with SEN

The second language teaching methods applied with categorization strategies, cognitive styles, and behavioral skills are aimed at providing widespread vistas of the language learning domain.Thereupon the skills have got more scope in acquiring the second language (L2) amongst children with SEN.This proposed research paper sheds light on the relationship between cognitive styles (Field dependence-Field independence and certain language learning).The learning disabilities of learners need to be addressed at the early stage with an intervention plan which in turn promotes cognitive growth, hence the modified instruction materials and the categorization styles should be kept in mind at the time of selecting teaching strategies while developing educational curriculum which would help in setting targets and fixing time frame to achieve them.In addition to this blended teaching which is inclusive of teacher-guided, assignment based, use of behavioral perspectives, can be engaged meaningfully with an intervention of a tool called 'mastery learning' tool which can facilitate assessment driven, evidence based teaching and learning with deeper learning at own pace.The research attempts to define the challenges faced by instructors and suggests ways and means to improve teaching of English.The novel ways focus on students learnability and allow students to explore new vistas of education.
An Empirical Study on the Effects of the US-China Trade Disputes on Korean Business Performance

Purpose - The study attempted to analyze how the U.S.-China trade dispute affects a highly trade-dependent South Korea. Currently, major domestic and international institutions have issued a number of conflicting predictions that the trade dispute between China and the United States will have a positive and negative impact on South Korea. Accordingly, the present study attempted to analyze using actual data. Design/methodology/approach - The analysis was conducted using actual import and export data from the United States and China and actual import and export data from the United States and China from South Korea. The analysis measured the number and amount of imports and exports by year and month, and the rate of increase and decrease. We also looked at trade dispute days, import and export outcomes and what the impact was. In addition, as a result of the US-China trade dispute, the amount of change in Korea's imports and exports was analyzed. Findings - Empirical analysis shows that South Korea's exports to the United States and China have increased. The analysis results are as follows. First, exports to the United States increased by 5.65% in 2018 and 6.45% in 2019 compared to 2017. Second, exports to China surged 12.34% in 2018 compared to 2017. This increase in South Korea's exports to the United States and its mass exports to the United States shows that South Korea has benefited from the trade dispute between the United States and China. Research implications or Originality - South Korea, which is highly trade-dependent, has been heavily affected by the U.S.-China trade dispute. Various predictions are made about this. The analysis showed that South Korea's export volume has increased. In the end, the effect of the trade transition to the 3rd country did not occur. Rather, the U.S.-China trade dispute appears to have helped South Korea.&#x0D;
Customer capital impact on competitive advantage

This research aims to understand customer capital in its dimensions (customer retention, customer satisfaction, customer loyalty, develop customer relations) and its impact on achieving competitive advantage in its dimensions (cost, quality, flexibility, delivery) in high-class hotels in Baghdad. The study used the descriptive analytical method, and the study population consisted of general managers, assistant general managers, department managers, and the administrative staff working in the high-class hotels in Baghdad, their number reached (187), and the data was collected from (118) individuals who were selected by the non-probability sampling method (intentional sampling). The data was processed by the two statistical programs (SPSS V.25, AMOS V.25) using descriptive and inferential statistics methods to achieve the study’s objectives and test its hypotheses.
Supervised Learning for Makeup Style Transfer

This paper addresses the problem of using deep learning for makeup style transfer. For solving this problem, we propose a new supervised method. Additionally, we present a technique for creating a synthetic dataset for makeup transfer used to train our model. The obtained results were compared with six popular methods for makeup transfer using three metrics. The tests were carried out on four available data sets. The proposed method, in many respects, is competitive with the methods used in the literature. Thanks to images of faces with generated synthetic makeup, the proposed method learns to better transfer details, and the learning process is significantly accelerated.
Incorporating English Vocabulary Through the Use of Poster Media for Elementary School Students

The purpose of this study was to investigate how to incorporate English vocabulary among the third-grade students of MI NU Miftahul Huda 01 Karangmalang Gebog Kudus and its challenges. This study employed a qualitative research with a descriptive approach. Data were garnered through observation, interviews to the headmaster, teachers and students of MI NU Miftahul Huda 01 Karangmalang Gebog, and documentation. The results showed that the English vocabularies of students have significantly improved. It was evidenced by the enthusiastic response of students when participating in the learning process using poster media. In addition, through the use of poster media, students can easily memorize English vocabulary and its meanings on the poster media. Moreover, they are also able to pronounce English vocabulary. However, the obstacles of using poster media in teaching vocabulary include lack of motivation and confidence. This study offers an implication on the importance of using media in English language teaching particularly for young learners.
Analisis Kesulitan Belajar Siswa Dalam Menulis Permulaan Pada Pembelajaran Daring Kelas I SD Negeri 3 Tamanrejo

This research aims to find out the causes of student learning difficulties in writing the beginning of class 1 SD N 3 Tamanrejo, Sukorejo District, Kendal Regerency. This research uses qualitative research with online methods. The subjects of this research are class A teacher, class I students and parents. Collect data in this study using interview techniques, tes questions and questionnaires. Data analysis techniques used are data collection, data reduction, data unification and conclusion. Based on the results of the research, it can be concluded that the factors of learning difficulties in students' initial writing skills are not only from the aspect of ownership but the factors of learning difficulties of students can be seen from external factors and internal factors from within students.
Relationship value in the Digital Era: New Ideas for the Communication of National Trendy Brands: - Taking China Li Ning as an Example

In the Paper, the communication contents of China Li Ning on Weibo and bilibili were taken as the main research object. In addition, text mining technology was used to analyze and study the methods for the brand to mine and build relationship value from the perspective of communication. From such two paths of user-user relationship and brand-user relationship, China Li Ning's application of relationship value in brand communication was studied by using keyword extraction, semantic network analysis and emotion analysis. In this study, the user-user relationship was constructed by the creation of communication topics and contexts and the embedment of them into existing user relationship networks; while the brand-user relationship was consolidated through the path of “recycling of interest-creation-interaction-feedback”. New ideas for the brand communication of national trendy brands in the digital era can be provided according to the results of the study.
Simultaneous Communication and Parameter Estimation of Pauli Channels

We propose a scheme for simultaneous classical communication and parameter estimation of generalized Pauli channels. This framework relies on the facts that i) under certain conditions, Pauli channels act as classical symmetric channel, and ii) a recently proposed parameter estimation method of Pauli channels can be executed while satisfying the conditions of i). The performance of the parameter estimation part in this simultaneous scheme relies on the symbol error rate of the communication module. This reliance gives rise to a natural tradeoff between the communication rate and the performance of parameter estimation in this simultaneous scheme. We exemplify our protocol by utilizing repetition codes for communication and the aforementioned parameter estimation scheme for the characterization of the channel at hand. We explore the tradeoff behavior between the communication rate and the performance of parameter estimation in the numerical examples. Our proposal paves the way for practical methods in simultaneous communication and channel estimation over unknown quantum channels.
Graphical interface adaption for children to explain astronomy proportions and distances

Mobile Science Center is a Polish project that seeks to bring astronomy knowledge to wider social groups through various applications. In its development it is necessary to design a graphical interface that explains a concept that is difficult to assimilate such as spatial proportions and distances. This paper develops a framework to create graphical representations that explain this learning to the target audience of children. Important aspects of this interface are the inclusion of storytelling to guide the educational content, along with feedback and difficulty and accessibility adaptations. Regarding spatial representation, previous works highlight the use of shapes and geometric objects, cartographic tools, reference points, and comparison with known velocities and spaces. The graphical interface proposed is based on a decimal system scale that compares traveling at the speed of light with a person walking. There are 4 proposals that represent the units of this scale with different geometric shapes and interrelated structures, in addition to assigned colors and positions. Future development of this project will apply these ideas to identify the optimal graphical interface so children can learn spatial proportions and distances.
Traffic sign detection and recognition based on convolutional neural network

Traffic sign detection is one of the critical technologies in the field of intelligent transportation systems (ITS). The difficulty of traffic sign detection mainly lies in detecting small objects in a wide and complex traffic scene quickly and accurately. To develop an efficient traffic sign detection and recognition that can detect and categorize traffic signal into different classes in real-time with the help of Deep Learning techniques. In this project, regard traffic sign detection as a region classification problem and propose a two-stage R- CNN-based approach to solve it. To build a deep neural Network model that can classify traffic sign present in images into different categories. The training process takes predefined traffic signals and has them 'learn' into a model. With this model, people are able to read and understand traffic signs which are a very important task for all autonomous vehicles. A visual traffic sign recognition system can be integrated into the automobile with the objective of detecting and recognizing all emerging traffic signs. In case the driver refuses to heed traffic signs, the system will trigger an alarm.
Developing GeoHepi Application as Interactive Learning Media for Flood Disaster Mitigation Materials

The purpose of this research is to develop a learning application related to flood disaster mitigation materials for 11th grade high school students in Kendal Regency. The method used is ADDIE. The average result of media expert validation is 3.80, material expert 3.48, geography learning practitioner 3.86, small-scale and large-scale trials sequentially get responses from students after using the application with an average score of 3.27 and 3.42. From the results of all responses, an average was carried out with a result of 3.58 so that it got an A value, which is a very suitable category for use in the implementation of learning technology for flood disaster mitigation materials. Keywords: GeoHepi; Learning Media; Flood Disaster Mitigation.
COMPLEX TREATMENT OF COMPUTER VISUAL SYNDROME IN SCHOOLCHILDREN

General computerization of recent years has brought new challenges. One of them is computer visual syndrome (GLC).
Riesgos de discriminación al utilizar tecnologías educativas basadas en Inteligencia Artificial

In this paper, the authors will talk about the development of technological platforms and tools that will support the creation and implementation of techno-pedagogical paradigms to tech the XXI Century generations. By proving how the innovative model of the open and distance learning universities (UNAD, for its Spanish acronym) is not run out and can be renewed, taking as an example the COVID-19 pandemic and analyzing the carriers that provide change to a new education, where the need of innovation in higher education in open and distance modalities is an urgent matter. Undoubtedly, learning is one of the human capacities that has most influenced their development and evolution. Thus, the e-education concept is presented as an effort to develop talents and human capacities using the Internet and new information and communication technologies (ICT). This will allow introducing a generalized remote mode, which will create a different culture adjusting the school curriculum to an online strategy, and not a rigid one, that involves technological improvements, so general and specialized knowledge are combined to the needs of scientific, technological, and social development. Teachers work with students differently and provide help through more knowledge and experience. Recent studies are showing that there are more open and online options for teacher professional development and teachers access the Internet to expand their development opportunities through social media platforms. In this sense, the non-attendance process of education has improved its relevance globally. Although, the COVID-19 pandemic caused an accelerator effect on the digital transformation of the educational institutions.
Two-Dimensional Diagnostic Data Analysis

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.