Reviewerly/exHarmony huggingface dataset:
THE EFFECTIVENESS OF POP-UP BOOK IN IMPROVING STUDENTS’ READING INTEREST

The effectiveness of pop-up books in increasing students' reading interest at SMPN 3 Palopo, reading interest is the sole focus of this research. In this study, narrative text is the lesson the researcher is trying to convey. Researchers used a total sampling sample consisting of 31 students. The instruments in this study were questionnaires and observation checklists. Researchers collected data through questionnaires. Data were statistically analyzed using SPSS edition 25. The researcher concluded that the use of Pop-up books increased students' interest in reading at SMPN 3 Palopo. This is evidenced by the results of the post-test (39.6) which are higher than the pre-test (28.2). Also, the t-count score (-19.183) is higher than the t-table (2.042). This shows that by using pop-up book media students' interest in reading increases.
The Effect of Fuzzy Logic in Enhancing Audit Procedures Related to Evaluating the Internal Control System

The aim of the research is to employ one of the important techniques of artificial intelligence, which is fuzzy logic in the field of auditing, and to explore how to benefit from this technology in enhancing auditing procedures. The research was applied. In the Directorate of the Office of Financial Supervision in Najaf, the results showed that there is a direct effect between each paragraph and the dimension to which it belongs, as questionnaires were distributed with (87) questionnaires valid for statistical analysis out of (100) questionnaires.
Klasifikasi Infertilitas (Ketidaksuburan) pada Wanita menggunakan Algoritma Naïve Bayes

The presence of a baby is a dream for every married couple, especially for those who have long married However, not all married couples can get biological offspring easily, it is caused by the presence of infertility (infertility). Infertility is problems with the reproductive system characterized by failure to get pregnant after 12 months or more of being married and having sex at least 2-3 times a week regularly regularly without using contraception. Based on the WHO report, globally it is estimated that There are cases of infertility in 8-10% of couples, which is about 50 million to 80 million couples. The aim of this research is to use the Nave Bayes algorithm for the classification of infertility in children women can help public knowledge, especially married couples to detect early infertility that makes it difficult to get offspring, considering infertility in women is a case that is no less important than other health problems. The evaluation and validation process uses rapidminer for the classification of infertility in children women with the algorithm used, namely nave Bayes, has very high accuracy high with an accuracy value of 91.67%. Based on the results of the classification of infertility in women with the nave Bayes algorithm can help the community to detect early perform a medical examination.
Penerapan Sistem Informasi Pelayanan Konsumen Produk Kecantikan Berbasis Android Pada PT Jaya Fajar

PT. Jaya Fajar Lestari has been a pioneer in beauty products since 1984. Since then the company has earned the trust, the loyalty of the public, and a reputation as an excellent provider of beauty products and services in the beauty business. One of the beauty services is beauty care and consultation, this service is in great demand and already has more than 100 consumers who are still handled manually so there are customer complaints about customer service such as being slow to inform the schedule of beauty treatments, the latest products, as well as answering customer complaints about the products that are available. used so that it requires an information system that can overcome these problems, namely an android-based system. The author proposes the application of this system with a waterfall system development model by describing the system with UML and java and android bases. This system is a solution to the problems of customer service PT. Jaya Fajar Lestari so that consumers can be served more intensively and comfortably in the use of this system and make it easier for the management of PT. Jaya Fajar Lestari in supervising the implementation of the company's business processes with the latest and most reliable reports
About the Work of Z.I. Grzhebin Publishing House in Germany

The article describes the work of Z.I. Grzhebin Publishing House in Germany. The work was not favored by the negative attitude towards it of a significant part of the emigrants who considered Grzhebin and Gorky agents of the Soviet government. But Moscow did not favor the publishing house. It particularly disliked the series «Chronicle of the Revolution». In Berlin, the publishing house decided to publish a magazine with the same name. The first issue was published in January 1923. Moscow reacted to this by banning the importation into Russia of books by the Publishing House of Z.I. Grzhebin and opening a criminal case. However, the publishing house continued its activities and stopped working only in 1924, and not in 1923, as stated in a number of reference books.
DeltaGNN: Accelerating Graph Neural Networks on Dynamic Graphs with Delta Updating

GNN accelerators have achieved prominent performance speedup on static graphs but fallen with inefficiency on dynamic graphs. The reason is that in dynamic graphs, updating on a few vertices will introduce enormous redundant neighbor reaggregation and feature re-updating. Moreover, evolving graph structure makes graph preprocessing impractical and incurs random memory accesses which can only be determined at runtime. In this paper, we propose DeltaGNN, an algorithm and accelerator co-design for GNN acceleration on dynamic graphs. In algorithm, we first propose a delta updating algorithm, which identifies the sensitivity of vertices and reduces the aggregation and updating operations of insensitive vertices without accuracy compromise. In hardware, we propose a novel sensitivity remapping cache to satisfy the dissimilar reusability of vertices under different sensitivity without preprocessing requirement. To tackle the workload imbalance, we implement feature-disperse execution to support different feature updating between sensitive and insensitive vertices. Moreover, we introduce vertex feature coalescing to reduce the amount of feature vectors by exploiting the locality within vertex accesses. We then propose lightweight yet effective hardware optimizations to make our design applicable to conventional GNN accelerators. Compared to the state-of-the-art GNN accelerators, our DeltaGNN gains an average of 1.5∼11.8× speedup and 1.3∼8.6× energy efficiency improvement on dynamic graphs.
Sex Effects on Essay Writing Performance under Selected Teaching Strategies in Senior Secondary Schools in Ondo State Nigeria

This study examined how sex affects students’ performance in essay writing under Reading-Writing (RW), Think-Pair-Share (TPS), combination (RW&amp;TPS) strategies, and conventional methods in secondary schools in Ondo State Nigeria. The population for the study comprised all the public Senior Secondary School (SSS) II students of the 2019/2020 Session in Ondo State. The sample for this study was 308 SSS II students that were selected from public senior secondary schools, using a multi-stage sampling procedure. The instrument used for this study is the Essay Writing Performance Test (EWPT). The data collected for this study were analysed using descriptive and inferential statistics. The hypothesis was tested at 0.05 level of significance. The study revealed that there was a significant sex gap in the performance of students taught essay writing using various strategies in Ondo State’s SSS. Given the importance of sex differences in the performance of students taught essay writing using various strategies, English language teachers should be aware of the differences in the responses of boys and girls in their classes to various essay topics.
Advancing Marfe Detection in Jet's Operational Camera Videos Through Machine Learning Techniques

n order to prove the capability of operational cameras in nuclear fusion devices, the videos from the cameras at JET were used to detect MARFEs, an edge plasma phenomenon. Three techniques were tested in this work: two already reviewed in other publications and a new one based on intensity masks. Once these methods were validated, their output was used to develop several Machine Learning models to improve performance. A final Machine Learning model was devised using both data from the operational cameras and several signals and diagnostics from other instruments at JET. The outcomes achieved using all the methods presented were deemed satisfactory, leading to the final Machine Learning model exhibiting an impressive accuracy rate of 96.9%. Furthermore, the models allow for detection both in frame by frame (if only video data is used) and in 2ms time steps should all diagnostics be used.
Implementasi Sistem Penggajian Pegawai Berbasis Website Di Restoran Mbledeq

Technology is very embedded in our lives and our daily activities. The development of this technology makes many jobs easier. This technology can also solve many problems, one of which is business problems. The solution to the problems at the Mbledeq Restaurant can be overcome by creating a Website-Based Payroll System, which includes calculating employee salaries according to attendance, inputting employee data, and reporting employee pay slips. Building a web-based application system that can be used to meet the needs of Mbledeq Restaurant employees, this website-based website is expected to help the Admin process Mbledeq Restaurant payroll data and display details of salary slips received during one month of work. The method used in this research is Rapid Application Development (RAD ). RAD is considered very suitable for this research because it is known to be fast in developing information systems. The method in this research consists of requirements planning, system design, and implementation. By considering the design, implementation, and objectives of creating an employee salary information system at MbledeQ Cafe&amp;Resto Gresik, it can be concluded that building an employee salary information system at MbledeQ Cafe&amp;Resto Gresik so that the employee salary information system becomes a comfortable place for employees to find their pay slips. The salary information system generates attendance reports, salaries &amp; pay slips, which can be given to future employees and also makes it easier for admins to calculate employee salaries.
PERBANDINGAN KEEFEKTIFAN ALGORITMA BACKTRACKING DAN SOFT COMPUTING DALAM MEMECAHKAN PERMAINAN PAPAN NONOGRAM

Solving logic puzzles using specific algorithms presents an intriguing challenge where the efficiency of the approaches is crucial. One such puzzle involves solving nonograms, where the task is to fill in board fields according to the conditions specified for each row and column. The availability of various methods allows for comparing their efficiency and effectiveness. This study aimed to evaluate the effectiveness of two algorithms from different categories. We selected a modified Depth-First Search (DFS) method and a soft computing method based on permutations generation to solve a set of chosen nonograms. The research was conducted using four different board sizes, and the results indicated that the effectiveness of the methods largely depends on the complexity of the nonogram. The algorithm employing permutations consistently produced stable results, while the DFS method did not always guarantee a complete solution.
Intercultural education – training space for value education in students of allolingual students

In this article, the authors demonstrate that Intercultural Education, in the university context, is an effective way to infuse important changes in this field, a relevant didactic approach to cultural differences, which aims primarily at educating values. Thus, as content units, proposed for the taught subjects, we discuss models of intercultural education from different countries; we examine the forms of manifestation of cultural diversity in the Republic of Moldova, conducting case studies as individual work; we elucidate what would be and are the perspectives of intercultural education in our country and we finally answer the question: what is the role of the modern teacher in today's multicultural society? In the article we also present a series of interactive methods and techniques that would increase the efficiency of the teaching-learning-evaluation process of these valuable contents.
Google Translate: Perception among PhD Students

This paper aims to explore the perceptions of Ph.D. students on using Google Translate when writing their theses. This paper is qualitative research, where primary data was collected from interviews with three selected Ph.D. students. The students were selected randomly. The qualitative research was chosen because it represents the student's views and perspectives regarding the issue. Data were recorded, transcribed, and analysed using thematic analyses for multiple interviews. The result revealed that the three students find it easy to write their theses while using Google Translate. The students are also concerned with Google Translates ability in translating, but there is not much that can be done as they need a free and easy tool to use when writing their theses. Finally, we find that Google Translate has a positive impact on the students' theses writing, but there is still a limitation to Google Translate in translating long sentences.
INTERACTION OF SCHOOL AND FAMILY IN THE PROFESSIONAL SELF- DETERMINATION OF SCHOOL GRADUATES

It is noted that the role of vocational guidance, professional self-determination is developing, and the education system needs to be deepened. Vocational self-determination and career guidance today are aimed not only at the choice of a particular profession, but also at the formation of universal qualities of students, such as freedom and awareness in choosing a profession, responsible choice, mobility. Professional self-determination is very important, because it is an integral part of the comprehensive and harmonious development of the individual and should be considered in the unity and interaction of all nurturing and influencing factors. The best option in this direction is for the school and the family to work together. The article examines and analyzes the scientific literature and describes the main directions, methods and forms of family and school activities for self-determination of school graduates.
THE ESSENCE AND WORLDVIEW APPROACHES OF MULTICULTURAL EDUCATION IN UPBRINGING THE UNIVERSITIES

The article deals with the conceptual appraches of multicultural upbringing in the contemporary education system. There are described the key purposes and content of multicultural education process. Particular attention was paid to the school disciplines in multicultural upbringing system. The purpose of the study: to identify the pedagogical conditions of the impact of national values on multicultural education. Research methods: Research methods used in scientific-theoretical analysis, theoretical modeling, traditional pedagogical, pedagogical experiment, pedagogical dialogue, pedagogical survey, pedagogical pedagogical interview. Research results: The need for retraining and regional educational institutions in the field of multicultural education, as well as the need for language training of future teachers, the conduct of seminars on multiculturalism and multiculturalism. Conclusions: multicultural education is one of the tools influencing the formation of multicultural competencies of students, as well as the ability to provide full-time cooperation of graduates of universities in the modern multicultural environment.
&lt;p&gt;Additional Charge to University Faculty - Is There a Way to Stop the Rot or is Continued Decline Inevitable?&lt;/p&gt;

&lt;p&gt;Quality assurance in education is a critical process that includes promoting innovation in teaching, research and scholarship including, but not limited to, novel uses of technology to enhance in-person teaching and learning, with subsequent continuous quality improvement. The development, collection and analysis of appropriate performance metrics, and building a culture of excellence in teaching and research that rewards the best and supports the rest, stipulates as obligatory for every higher education institution working in public or private sector.&lt;/p&gt;
AN ANALYSIS ON TEACHING ENGLISH USING ENGLISH MOVIE AT THE EIGHT GRADE AT SMPN 3 TUNGKAL JAYA

The purpose of this research is to determine how instructors in class VIII.1 B SMPN 3 Tungkal Jaya teach English using English films. In this research, qualitative methodology was employed. Observation and interviews were employed to collect data for this research, whose subject is an eighth-grade English teacher at SMPN 3 Tungkal Jaya. This research revealed that teachers use three activities to teach English through films: pre-viewing, during viewing, and after viewing. By utilising these three activities, teachers can make it easier for students to learn English through films, as well as enhance students' listening, speaking, writing, and vocabulary abilities. After learning how to use films, teachers designate students homework so they can assess their comprehension.
STUDENTS’ WILLINGNESS TO COMMUNICATE (WTC) IN ENGLISH LANGUAGE : A CASE STUDY

This research primary objective is to identify the factors influencing students' propensity to communicate in English at MTs N 8 Muaro Jambi. The second objective is to determine how willing pupils are to communicate in English at MTs N 8 Muaro Jambi. The qualitative descriptive method was utilised in the study's design. This research was conducted with ninth-grade students from MTs N 8 Muaro Jambi. This research data was collected through interviews, and based on the findings and discussions, a number of factors influenced students' propensity to communicate in English. There are two different categories of factors: internal and external. Regarding internal factors, the students' willingness is affected by their self-willingness. Regarding external factors, the teacher, the classroom environment, and the effect of the topic influence students' resolve. The most influential of these factors are self-will and classroom environment. The majority of students stated that they are eager to use English when communicating. The students' propensity to communicate in English at MTs N 8 Muaro Jambi is divided into two levels, namely high level and medium level, based on the findings of the second research question. Students believe that using English is essential for various purposes. In this study, the researcher suggests that students can increase their willingness to communicate in English.
THE EFFECT OF USING WHATSAPP AS A LEARNING TOOL ON STUDENTS’ WRITING ABILITY AT MA LABORAN

The purpose of this survey was to determine how students at MAN 1 Tanjung Jabung Barat perceive reading texts. This survey-based research is quantitative in nature. This study's participants were eleventh-grade pupils at MAN 1 Tanjung Jabung Barat. In this study, simple random sampling was used to select 50 students, or 29% of the total population, from XI IS I and XI IS II classes where 63 pupils were taught by the same teacher. In terms of data acquisition methods, a questionnaire was used. The analysis of the utilised data is a quantitative analysis. The results indicated that 80% of MAN 1 Tanjung Jabung Barat students' perceptions of reading texts fell into the category of "very good." It implies that many students at MAN 1 Tanjung Jabung Barat have positive attitudes towards reading texts.&#x0D;
A Comprehensive Review on Renewable Energy Trading

Abstract: The problem we are facing is how to efficiently use renewable energy sources like solar and wind, which are sometimes unpredictable. Current energy systems struggle to handle this unpredictability, which can lead to wasted energy and more pollution. There is also a lack of trust and transparency in the energy market. The effective tracking and management of renewable energy present complex challenges. Traditional energy tracking systems often lack transparency, security and trust among stakeholders, hindering the realization of a fully sustainable energy ecosystem. To fix these issues, we are looking at using blockchain technology. Blockchain is like a secure and transparent digital ledger. It can help automate energy trading and make it more trustworthy. By using smart contracts, we can make sure energy transactions happen quickly and with fewer costs. We will also use data analytics and devices that connect to the internet to better predict when we will have energy and how to use it efficiently. Our solution is to create a platform for renewable energy trading using blockchain. We will use technologies like Hyperledger Fabric and Ethereum to make sure everything works securely. Smart contracts will help with automatic energy trading, and AI will help us predict when we will have energy. Devices connected to the internet will give us real-time data to manage the energy grid better. With this plan, we want to make renewable energy trading easy and help the world switch to cleaner energy sources faster
Efficiently Finding Cyclical Patterns on Twitter Considering the Inherent Spatio-temporal Attributes of Data

Social networks such as Twitter provide thousands of terabytes per day, which can be exploited to find relevant information. This relevant information is used to promote marketing strategies, analyze current political issues, and track market trends, to name a few examples. One instance of relevant information is finding cyclic behavior patterns (i.e., patterns that frequently repeat themselves over time) in the population. Because trending topics on Twitter change rapidly, efficient algorithms are required, especially when considering location and time (i.e., the specific location and time) during broadcasts. This article presents an efficient algorithm based on association rules to find cyclical patterns on Twitter, considering the inherent spatio-temporal attributes of data. Using a Hash Table enhances the efficiency of this algorithm, called HashCycle. Notably, HashCycle does not use minimum support and can detect patterns in a single run over a sequence. The processing times of HashCycle were compared to the Apriori (which is a well-known and widely used on diverse platforms) and Projection-based Partial Periodic Patterns (PPA) algorithms (which is one of the most efficient algorithms in terms of processing times). Empirical results from two spatio-temporal databases (a synthetic data set and one based on Twitter) show that HashCycle has more efficient processing times than two state-of-the-art algorithms: Apriori and PPA.
Vehicle Model and Owner Registration, Detection &amp; Car Price Prediction

Abstract: The key algorithm in autonomous driving is vehicle recognition based computer vision, which tries to recognize whether vehicles are being located by digital photos or videos. Identifying "blocks," which represent the position of the vehicle in photos or videos, is the fundamental concept behind vehicle detection. Additionally, this work explores 3D stereo-based vehicle identification methods, which emerged from sophisticated planar vehicle detection perception. In terms of the differences between the feature extraction approach and the perceived results, this research concludes by summarizing the vehicle detection algorithms used in recent years. It offers theories for more thorough investigation of the vehicle detection systems. With the rapid advancement of machine learning techniques, this tool is now even more essential for object detection. Compared to manually developed features, machine learning-based picture features are more representative. This review paper focuses on object recognition methods based on machine learning and other deep convolutional neural networks however the traditional object detection techniques will also be briefly reviewed.