Reviewerly/exHarmony huggingface dataset:
Cognitive Strategies Used By Good Students To Improve Their English Achievement : A Case Study At SMP Muhammadiyah 4 Sambi

The objectives of this research are is to describe(1) the types of cognitivestrategies and (2) the preferences types of cognitive strategies which are used bygood students in learning English. The learning strategy is based on Oxford’sclassification of cognitive strategies. This research used qualitative research in thefrom of a case study research. This research used six students of SMPMuhammadiyah 4 Sambi who had the high report and listed from the Englishteacher. Data were collected in two ways: give a questionnaire and open-endedinterviews. In analysing data, the researcher used Hubberman which consists ofdata reduction, data display, and verification data. The finding indicate that (1) notall types of cognitive strategies used by good students, they just used 13 types.They are repeating, formally practicing with sounds and writing system,recognizing and using formulas and patterns, practicing naturalistically, gettingthe idea quickly, using resources for receiving and sending messages, reasoningdeductively, analysing contrastively, translating, transferring, taking notes,summarizing, and highlighting. The preferences types of cognitive strategies usedby good students are translating and highlighting. The use of cognitive strategieshelpful for good students in improving their English achievement.
Deep Convolutional Sequence Approach Towards Real-Time Intelligent Optical Scanning

Visual text recognition is the most dynamic computer vision application due to its rising demand in several applications like crime scene detection, assisting blind people, digitizing, book scanning, etc. However, numerous research works were executed on static visuals having organized text and on captured video frames in the past. The key objective of this study is to develop the real-time intelligent optical scanner that will extract every sequence of text from high-speed video, noisy visual input, and offline handwritten script. The scientific work has been carried out with the combination of multiple deep learning approaches, namely EAST, CNN, and Bi-LSTM with CTC. The system is trained and tested on four public datasets (i.e., ICDAR 2015, SVT, Synth-Text, IAM-3.0) and measured on the basis of recall, precision, and f-measure. Based on the challenges, performance has been examined under three different categories, and the outcomes are optimistic and encouraging for future advancement.
Digital Scholarship for a Post-crisis Tomorrow: Digital Acceleration and the Role of the Library

Slides from a presentation delivered as part of the Council on Networked Information Digital Scholarship 2020 webinar series
한국 학생의 인공지능에 대한 태도 분석 : 학교급을 중심으로

The present study analyzed differences in Korean students’ attitudes toward artificial intelligence (AI) according to school level. A tool designed to measure attitudes toward AI according to education level was administered to a total of 6,324 students. Differences in attitudes toward AI according to school level, gender, direct and indirect experience with AI, educational experience with AI, interest in AI, experience with programming language(s), and frequency of AI use were analyzed. The analysis showed that school level and gender, direct and indirect experience with AI, interest in AI, and experience with programming languages impacted attitudes toward AI. More specifically, male students with direct or indirect AI experience, high interest in AI, and experience with both block and text-based programming languages had more positive attitudes toward AI. Educational experience with AI and frequency of AI use did not significantly affect attitudes toward AI. The findings of this study contribute to knowledge about the factors impacting Korean students’ attitudes toward AI based on level of school level.
Mathematical Cosmogony and Axiomatics of Cosmology

In this paper, Mathematical Cosmogony and Axiomatics of Cosmology are discussed briefly. The Universe is the bifurcation of the mathematical continuum. There is no hardware, but only soft ware we restore now on paper. On this the evolution of matter ends up either in the Solar system of planets or in the entire Cosmos.
Pelatihan Penyusunan Kas Kecil (Petty Cash) Menggunakan Metode Imprest dan Fluktuasi untuk Meningkatkan Pembelajaran

Petty cash includes a number of funds specially formed for routine and relatively small expenses. Petty cash is used to mark relatively small management expenses such as purchasing office stationery, consumption funds for meeting purposes. As a person who is trusted by the leadership to manage petty cash, he must be able to organize and plan petty cash funds and make financial records that are re-booked by the company's finance department using the imprest and fluctuation methods. Many students still do not understand how and techniques to prepare petty cash using the imprest and fluctuation methods, therefore the training for preparing petty cash using the imprest and fluctuation method is very important for students of SMK Satrya Budi 2 Simalungun Regency Trade in order to face the Expertise Competency Test (UKK) and National Examination (UN) so that students can work on exam questions quickly and accurately. After participating in this training, it is hoped that the students of SMK Satrya Budi 2 Trading, Simalungun Regency can gain insight and knowledge about the methods and techniques for compiling petty cash bookkeeping, completing exam questions quickly and accurately in accordance with the allotted time. and the pass rate reaches 100%.
Improved Locality affine-invariant feature matching

It is a fundamental and important task in computer vision to find a reliable correspondence between two feature sets. However, due to the limitation of descriptors, the raw matches are often polluted by most outliers, and the matching results given by the algorithm may be cross-exchanged in the images with similar features. Based on the idea of local affine invariance, this paper divides the image into several local sub-feature sets, and the sub-feature sets often satisfy affine transformation. Then, the local barycentric coordinates of the seed points of the subset were checked to eliminate the mismatching of similar features. In order to prove the versatility of our strategy for dealing with image matching problems, we conducted extensive experiments on various actual image pairs, especially for images with similar features, we established an additional test set. The test results show that our method has similar performance on the common test set compared with other methods in terms of efficiency and effectiveness, and is more competitive in similar feature images.
Komparasi Penggunaan Media Pembelajaran Wayang Pahlawan Dan Cerita Pahlawan Terhadap Hasil Belajar Kognitif Siswa Kelas IV SD Negeri 05 Kuto

In learning activities, teachers are not only required to deliver learning, but also required to be creative and innovative. It aims to prevent students from being saturated with teachers when delivering learning materials. In a learning process, there are two very important elements, namely, learning methods and media. At SD Negeri 05, learning quality is still lacking, this is due to the lack of innovation of teachers in developing learning media. The lack of innovation in the learning process will affect the learning outcomes of learners, especially the cognitive learning outcomes of learners. Therefore, further research was conducted on the media of hero puppet and hero stories in measuring the cognitive learning outcomes of students at SD Negeri 05 Kuto grade IV. The objectives of this study are: 1) To compare the difference between the average pretest and posttest results of students after applying hero puppet media; 2) To compare the difference between the average pretest results and posttest students after applying media hero stories; 3) To compare the difference between the average student posttest results after applying hero puppet media with the hero story media. This research uses quantitative approach and uses pseudo experiment research design as well as data analysis with comparative data. Teknik collecting data in the form of tests and documentation, then using statistical tests Paired Sample T-Test and Pooled Variance T- Test.. with the result tcount = |-13,619| ≥ ttable = 2,201, then Ho rejected,; 2) tcount = |-9,014| ≥ ttabel = 2,201, ho was rejected; 3) The result of tcount = |-1,147| ≤ ttable = 2,074, then Ho is accepted. Conclusions in this study: 1) there is a difference between the average pretest and posttest results of students after the applied hero puppet media, 2) there is a difference between the average pretest results and the student posttest after applying the hero story media, 3) There is no difference between the average student post test results after applying the hero puppet media with the hero's story to the cognitive learning outcomes of grade IV students of SD Negeri 05 Kuto.
High-resolution representations and multistage region-based network for ship detection and segmentation from optical remote sensing images

Ship detection and segmentation in optical remote sensing (ORS) images is a current concern actively addressed by the academic community owing to its vast applications. Most present methods only detect the location of the ship but do not segment it at the pixel level. Considering the complex background of ORS images, identifying ships from interferences, such as clouds, waves, and some land architectures similar to ships, proves to be difficult. To address this issue, we propose a high-resolution representation and multistage region-based network (HR-MSRN) for ship detection and segmentation from ORS images. HR-MSRN mainly consists of three parts: the high-resolution feature pyramid network (HRFPN), region proposal network (RPN), and multistage detection and segmentation network (MSDSN). First, HRFPN is built as a backbone network to extract and fuse multilevel image feature maps. Second, ship candidate boxes are generated by defining numerous anchors through RPN. Third, using the idea of a cascade mask R-CNN as the reference method, the MSDSN is proposed to obtain the ship localization and mask shape. We utilize the proposed framework to evaluate an Airbus-ship dataset, and the experiments indicate that (1) HRFPN provides better feature representation ability than the ResNet-FPN when maintaining the same detection framework, especially for small ships; (2) the direct flow between mask branches refines the mask information, and the semantic segmentation branch enhances context information, which indicates that MSDSN is effective and promotes further improvements in ship detection and segmentation from ORS images; (3) in comparison to other region-based methods, HR-MSRN obtains superior performance of ship detection and segmentation in the ORS imagery.
Developing English Reading Material for the Second Grade of Vocational High School

The purpose of this study are to describe how to develop English reading materials for the second grade of Vocational High School and to explain the advantages and disadvantages of developing English reading materials for the second grade of vocational high school.&#x0D; Using English reading material for developing the students’ ability of the second grade of vocational high school is one of the ways to make the students interested in learning English. In teaching English reading materials, this paper applies two phases (planning phase, implementing phase, evaluating phase) and PQRST (Preview, Question, Read, Summarize, Test) method.&#x0D; The advantages of developing English reading material for the second grade of vocational high school are: It can develop their vocabulary and grammar mastery. It is described that using reading materials in developing the students’ proficiency of English is very beneficial. The students get the systematic, effective, and efficient learning method, and also they can enjoy the teaching learning process. Encourage the student to improve their previous background knowledge of fundamental concepts. It can motivate the Students to actively reflect upon the material being studied prior to its presentation in class and to search for explanations or solutions on their own. While, the disadvantages are: It cannot develop the listening skill directly; It may happen that the students did not understand clearly about the generic structure and language feature of the text if they just pay attention with the meaning of each word.&#x0D; The writer hopes that this paper can be used as a reference for the teachers who want to improve their students’ ability, especially in reading ability. Furthermore, it can be a reference for the students of English department who want to write a paper or a thesis.&#x0D; Keywords: English Language, Reading, Vocational High School&#x0D;
Exercises to Be Done in Silence

The exercises in this section are performed in the mind (without the use of musical instruments) and may be done by individuals alone or by groups, such as classrooms, workshops, masterclasses, or even audiences. For individuals, who may or may not be musicians, these exercises can be fun to do at home, on trains, in waiting rooms, or just about anywhere. The exercises range from imagining visual images (as a warm-up) to imagining (in silence) ordinary sounds, scales, dynamics, instrumental timbres, harmonies, expressive performance techniques such as vibrato, and orchestration. The chapter also provides exercises that link imagining music to our other senses, and exercises that ask the participant to imagine or create sonic patterns, designs, scenarios, and compositional structures in fun and surprising ways, all in the mind’s ear.
An Enhanced Approach to Mine Maximal Frequent Itemset using Maximal Frequent Itemset Prima Algorithm (MFIPA)

In data mining finding out the frequent itemsets is one of the very essential topics. Data mining helps in identifying the best knowledge for different decision makers. Frequent itemset generation is the precondition and most time-consuming method for association rule mining. In this paper we suggest a new algorithm for frequent itemset detection that works with datasets in distributed manner. The proposed algorithm brings in a new method to find frequent itemset not including the necessitate to create candidate itemsets. The proposed approach could be implemented using horizontal representation for transaction datasets and allocating prime value. It explores all the frequent itemset that is present in the input and according to the support the maximum frequent itemset is identified. It was applied on different transactions database and compared with well-known algorithms: FP-Growth and Parallel Apriori with different support levels. The try out showed that the proposed algorithm attain major time improvement over both algorithms.
Amazon faces probe in Europe over third-party selling

The investigation would build on a preliminary probe into whether Amazon is misusing sales data to gain an advantage over third-party sellers on its platform.
The Legal Classification of Bitcoin and other Cryptocurrencies

Cryptocurrencies are digital assets desig ned to work as a medium of exchange that uses cryptography to secure its transactions, to control the creation of additional units, and to verify the transfer of assets. In the past few years there is a growing number of cryptocurrencies like Bitcoin, Ethereum, Ripple, etc. In my paper and presentation I would like to present the difficulties of the legal classification of cryptocurrencies. Countries all over the world have different solutions to this question. It is not written in stone whether cryptocurrencies should be considered a currency, a commodity, or an investment. In my study I examine each of these possibilities.
Women entrepreneurship in the MENA region: Factors influencing entrepreneurial motivation

Women's entrepreneurship has been relevant for several years in the MENA region. It has been recognized as a lever for economic and social growth as well as a tool for job creation attracting more and more theorists and researchers from across the globe. In this particularly buoyant context, the goal of our research paper is to identify the factors influencing the motivation of women entrepreneurs in this region on the assumption that socio-cultural and individual factors are at the heart of women's entrepreneurship in the MENA region. The answers are supported through a qualitative study based on the empirical results of a survey of 45 innovative entrepreneurs from 10 different countries between 2017 and 2020 and based on an in-depth literature review.
Comments on a Three-factor Anonymous User Authentication Scheme for Internet of Things Environments

IoT (Internet of Things) consists of various devices such as cars, electrical appliances, machines, and sensors. With IoT technologies, devices exchange information through the network, people are allowed to obtain information collected by devices without interacting with them, and automatic operations for devices are realized. Owing to the variety of IoT devices, some of them possess limited computational capability. On the other hand, data transmission in IoT networks is usually through a public channel. To ensure efficiency and security in IoT environments, Lee et al. presented a three-factor authentication scheme with XOR operation and hash function. Their scheme possessed superior properties and prevented common attacks. Analyzing the scheme revealed that five flaws threaten the scheme. This paper shows how the flaws threaten the scheme in detail.
Implementasi Sistem Aplikasi Pengajuan Cuti Karyawan Berbasis Android Pada Security Operation Management

Currently the process of applying for employee leave is sometimes still semi-computerized so it takes a long time for approval, and do not know the amount of remaining and the history of leave. Therefore, it requires an Android-based application system for staff and managers, as well as for website-based admins. Therefore, the purpose of this research is to make the process of applying for leave faster and reduce the amount of paper used for the approval. The method that will be used to build this application is data collection method by observation, interview and literature study while in the analysis method using PIECES method and system design using UML (Unified Modeling Language), testing using Black Box Testing, programming language that will be used for Android namely Java with Android studio IDE. For web programming use PHP with Visual Studio Code editor and MySQL Database. This research is to facilitate the application of leave by the employee concerned during the approval process and management of data reports.
Brazilian scientific production on COVID-19: A bibliometric and altmetric analysis

We analyze the Brazilian production and diffusion of scientific literature on COVID-19 in 2020, to assess what was the protagonism of this country during this event. All documents were obtained from Web of Science and considered under bibliometric and altmetric analysis. We used the production and citation indicators crossed with other variables like author, institutional affiliation, impact factors, funding organizations, research areas, etc. A total of 2,703 articles were found, mostly published in December and in English, having received 10,190 citations, with an average of 3.77 citations per document, a value lower than that found for other countries. Ten journals concentrated publications, being only one of those not Brazilian. Sao Paulo University was the most producing institution. Analyzing the top 100 most cited articles with an altmetric tool, the average Altmetric Attention Score (AAS) was 392.22. From the 40,062 mentions on social media, 94.8% came from Twitter, mainly by general public (78.6%). The top 10 articles with the highest AAS concentrated 79,5% of all attention;eight of them were original investigations. We propose a content analysis to verify which specific topics are attracting greater interest from the general public, but not so much from the scientific community. © 2021 18th International Conference on Scientometrics and Informetrics, ISSI 2021. All rights reserved.
Uncertainty in Data Mining

This paper aims to articulate the current approaches to handle the uncertainty problem in data mining (DM). The difficulties in DM are given to show the impact of the uncertainty problem in DM’s various applications. As it has been stated that is no common DM method to handle the uncertainty problem in DM and based upon the literature of cognitive science, this paper highlights a new classification approach to overcome the uncertainty problem in DM that is the Relative-Fuzzy (RF) approach and its ML/RFL-Based Net software tool.
Analysis of Distance Learning Implementation at Elementary School Sengon 2 Trenggalek

This study aims to analyze and describe the implementation of distance learning, as well as determine the supporting and inhibiting factors for the implementation of distance learning at SDN Sengon 2 Trenggalek. This type of research is qualitative research with descriptive methods. Participants in this study were the principal, teachers, and parents or guardians of students. Data were collected by means of observation, interviews and documentation. The results of this study are described as follows: 1) Distance learning at SDN Sengon 2 Trenggalek is carried out using online and offline methods, the strategy adopted by the teacher is to use technology with PJJ media via Study group. 2) Supporting factors for the implementation of distance learning, namely teachers prepare careful planning in implementing PJJ, the support of internet facilities from schools, and teachers and parents can use technology for communication without any time constraints. The inhibiting factor for the implementation of distance learning is that most parents cannot always assist students in learning because they have jobs that cannot be left behind, assignments given by the teacher require more explanation, and students' learning motivation decreases.
Welcome to Apache Camel

Systems integration is one of the most interesting challenges I face in my job as a solution architect, so it is definitely something I’m passionate about discussing and writing. I feel that most books are just too technical, covering everything that a specific tool does, or are just to theoretical, having great discussions about patterns and standards but not showing you how to solve problems with any tool. My problem with these two approaches is that sometimes you read a book, learn a new tool but do not understand how to apply it to different uses cases, or you know the theory too well but not how to apply it in the real world. Although there is plenty of space for this kind of reading, such as when you want a technical manual for reference or you just want to expand your knowledge on a subject, my objective is to create material that goes from an introductory perspective to a real-world, hands-on experience. I want you to get to know Apache Camel well, to develop a deeper understanding of integration practices, and to learn other complementary tools that you can use in different use cases. Most importantly, I want you feel confident in your choices as an architect or as a developer.