Reviewerly/exHarmony huggingface dataset:
Mind-Mapping Technique and Writeabout Application Integration in an Online Writing Class: An Indonesian Vocational University Context￼￼

While writing has evolved away from the conventional method of using pens and paper in favor of digital tools (Li et al., 2019), English teachers continue to face difficulties in teaching writing. This study shows how mind-mapping and the program, Writeabout, can be merged for online writing classes in English for Specific Purposes (ESP) clasrooms. It reports on a classroom-based research with a qualitative research design which includes class observations and essay analysis of first-year undergraduate students enrolled in the Railway Mechanical Technology program in Indonesia during the academic year 2020/2021. The analysis of students’ essays via TOEIC-adopted writing criteria showed that the students lacked competence in vocabulary (range: 2-5), grammar (range: 2-5), and sentence quality (range: 2-5). However, their text organization skills were a bit higher (range: 3-7), which was likely due to the course instructions’s incorporation of mind-mapping techniques. The findings revealed that incorporating the mind-mapping technique and the Writeabout application into online writing lessons can have a positive effect on students’ writing.
Quantum Key Distribution with Continuous-Variable Systems

Continuous-variable quantum key distribution has affinity to the optical telecommunication, and thus has advantages in the real-world implementation. However, for continuous-variable quantum key distribution protocols that are compatible with digital signal processing, their finite-size security against general attacks has been a long-standing open problem. In this chapter, we solve the problem by developing a fidelity estimation that converges quickly in a finite number of trials and using it as a test for the information leakage.
GENESIS OF CG ART AND VISUAL GAME STYLE

The purpose of this work is to explore the prerequisites for the emergence of CG Art, in particular, to determine the role of the artist and designer in the process of creating the visual component of the virtual gaming space. Describe the technological methods of creating visual content. Methodology. An integrated approach to the study of CG art samples was used, which made it possible to establish the features of the technology for their creation. In the course of the study, the historical and comparative method of scientific analysis of sources was used to identify the main trends in figurative expression in the design of the visual style of game content. Results. The causes, conditions and consequences of the formation of CG art are investigated. The role of the game designer and CG artist in the development of the visual style of the game is characterized. The features of the idea generation process are considered. The essence and characteristic features of concept art, the stages of its creation are reflected. The compositional techniques and means that are used to implement various design solutions are analyzed. Scientific novelty. The article singles out, structures and analyzes the main stages of creating game entities from the point of view of the principles of selection as artistically expressive means and various technological limitations due to the digital environment of the project. The data obtained on the basis of studying numerous domestic and foreign authoritative sources, and scientific periodicals devoted to the problems of digital technologies and game design, allow us to systematize the artistically expressive means used to design game entities. These tools can increase the level of empathy of the player, as well as the overall appeal and artistic and aesthetic qualities of the project. Practical significance. The materials of the work can be used to optimize the process of selecting suitable artistic and expressive means at the stage of developing the visual component of the project. In turn, this will help reduce labor and time costs with a minimum number of stylistic contradictions and imperfections that can significantly worsen the overall consumer and aesthetic properties of the project. The proposed techniques and methods of conceptual solutions can be used when designing both directly the graphic elements of the visual system of computer games, and when creating advertising layouts and marketing products. Key words: CG Art; graphic design; concept art; technological methods; game design; game industry.
VISUALIZATION OF THE COMMUNICATION PROCESS DURING TEACHING THE UKRAINIAN LANGUAGE TO FOREIGNERS

The article examines the problem of the negative impact on modern young people of a huge amount of information, which many of them are unable to perceive, process and use effectively. It is noted that this problem can be solved by new teaching methods and methods, including the technologies of visual presentation of educational material. The concepts of visibility and visualization were also investigated and it was concluded that these terms denote similar methods of obtaining information based on visual (or visual and auditory) perception of objective reality, but these concepts are not identical. The article presents the possibilities of introducing such popular data visualization technologies as scribing, mental maps, tag clouds and cross-sensing into the process of teaching Ukrainian to foreign students. The rules and algorithms for creating these forms of visual presentation of educational material are analyzed, and their practical application during classroom and out-of-classroom lessons on the Ukrainian language as a foreign language is described. Particular attention is focused on the need to take into account in the process of preparation and practical application of similar forms of visualization not only common features of human thinking, but also cultural and ethnic differences and peculiarities of perception of objects of reality by representatives of different nationalities. A conclusion was made regarding the expediency or impracticality of using scribing, mental maps, tag clouds, cross-senses, as well as interactive timelines and Internet memes as means of communication and presentation of educational information during the teaching of foreign students of the Ukrainian language as such, which take into account psychological and cognitive features of modern youth, allow presenting the material concisely and clearly, and also diversify classes, will contribute to better assimilation and memorization by students of complex grammatical, lexical and linguo-regional studies materials, making the educational process more effective, i.e. meet the requirements of modern education. Key words: visualization, communication, scribing, mental maps, tag clouds, cross-sense.
Artificial neural networks: a brief literature review

There are thousands of studies in the literature on the use of artificial neural network methods in estimation problems. As in all issues, modeling is one of the essential processes for the solution of estimation problems. In order to make a good prediction, it is necessary to pay attention to the necessary rules. The more attention is paid to the estimation stages, the more accurate the assessment will be, and the results can be generalized. In this study, publications in the literature on artificial neural networks were examined. This work aims to explore the studies on artificial neural networks and emphasize their importance. It is also ofgreat importance to increase the number of studies in this field.
A theoretical study on the impediments of artificial intelligence in banking industry

In recent years technology has become pertinent element of success for businesses and manufacturing industries. Technologies have also changed the ways in which the organizations perform their businesses. Artificial intelligence has become the buzz word in the field of technology in the recent scenario with enormous power to transform the traditional methods &amp; to bring wide range of benefits. This technological innovation is gaining all the attraction of corporate world also has become the key issues of any nation’s strategy. Due to rapid rise in digitization and online banking, there is growing need to adopt &amp; implement Artificial Intelligence technology in banking organizations too. AI has become important disruptor for banking industry. AI substantially reduces operating cost, increases efficiency &amp; improves customer satisfaction. As the use of technology increases, it also brings numerous risks &amp; challenges along with legal &amp; governance issues. Machines decisions are going to replace human decisions,but how reliable, ethical &amp; logical these decisions stay, becomes the question of everyone’s mind. Numbers of barrier are present for this technological driven innovation of AI. The study aims to focus on the challenges that banking organizations are experiencing. Banks are encountering all the hurdles starting from AI adoption to reluctance of customers for acceptance of AI driven decisions.
Analysis of Educational Value in Novel 9 Summers 10 Autumns Iwan Setyawan's work for elementary school children

Background: Novel is a literary work in the form of prose that discusses a work of imagination about the problems of a person's life or various other characters. One of the novel literary works that is interesting to analyze and study its educational value is the novel9 Summers 10 Autumns Iwan Setyawan's work which tells an interesting and inspiring story that can be a meaningful life lesson, where the value of education is so important that it is applied in everyday life.&#x0D; Purpose: The purpose of this research is to be used as teaching material for teachers in increasing reading interest, literary appreciation, and analyzing literary works and knowing the value of education in them.&#x0D; Design and methods: The research method used is content analysis (Content Analysis) with a qualitative descriptive approach, by describing the data in the form of words. The data collection technique uses a documentation study of the study of novel texts9 summers 10 autumns by Iwan Setiawan.&#x0D; Results: Research results from the novel9 summers 10 autumns have educational values ​​such as the value of truth, the value of goodness, the value of beauty, and the value of changing attitudes or procedures that can be taken for elementary school children and become teaching materials for teachers.
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology

Histopathological image analysis is critical in cancer diagnosis and treatment. Due to the huge size of histopathological images, most existing works analyze the whole slide pathological image (WSI) as a bag and its patches are considered as instances. However, these approaches are limited to analyzing the patches in a fixed shape, while the malignant lesions can form varied shapes. To address this challenge, we propose the Multi-Instance Multi-Shape Support Vector Machine (MIMSSVM) to analyze the multiple images (instances) jointly where each instance consists of multiple patches in varied shapes. In our approach, we can identify the varied morphologic abnormalities of nuclei shapes from the multiple images. In addition to the multi-instance multi-shape learning capability, we provide an efficient algorithm to optimize the proposed model which scales well to a large number of features. Our experimental results show the proposed MIMSSVM method outperforms the existing SVM and recent deep learning models in histopathological classification. The proposed model also identifies the tissue segments in an image exhibiting an indication of an abnormality which provides utility in the early detection of malignant tumors.
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset

Most recent semantic frame parsing systems for spoken language understanding (SLU) are designed based on recurrent neural networks. These systems display decent performance on benchmark SLU datasets such as ATIS or SNIPS, which contain short utterances with relatively simple patterns. However, the current semantic frame parsing models lack a mechanism to handle out-of-distribution (OOD) patterns and out-of-vocabulary (OOV) tokens. In this paper, we introduce a robust semantic frame parsing pipeline that can handle both OOD patterns and OOV tokens in conjunction with a new complex Twitter dataset that contains long tweets with more OOD patterns and OOV tokens. The new pipeline demonstrates much better results in comparison to state-of-the-art baseline SLU models on both the SNIPS dataset and the new Twitter dataset <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> Our new Twitter dataset can be downloaded from https://1drv.ms/u/s!AroHb-W6_OAlavK4begsDsMALfE?e=c8f2XX. Finally, we also build an E2E application to demo the feasibility of our algorithm and show why it is useful in real application.
Media and Information Literacy: Quantitative exploration of the Burden of Information Needs in Librarian Users

The increasing awareness of the importance of information literacy as a life skill is balanced with skills in accessing information. But in reality, not everyone can accept these technological advances. This can be seen from the data which states that there are several students who are not aware of the importance of information literacy. Therefore, this study aims to explore more about information literacy skills and the factors that influence the level of information literacy skills of student based on the five standards of the Association of College and Research Libraries (ACRL) which is Know, Access, Evaluate, Use and Ethical/Legal. To achieve this goal, observation, questionnaire, and interview techniques were used as data collection techniques taken from 261 library users as respondents. By using a descriptive method and using a qualitative approach, the results of the study show that: (1) the information literacy skills library users based on the Association of College and Research Libraries standards are categorized as good. However, it still needs to be improved, especially in the access and ethical/legal sub-variables, (2) One of the factors that affect the information literacy skills of users is the age factor.
Region Grouping Based on Sales Results Using K-Means Algorithm at PT RMK

In the development of the business world which is always evolving and full of competition, the business actors must always think about how to continue to survive in developing their business scale. PT. RMK is a company engaged in the distribution of mobile phone credit vouchers, PT RMK wants to develop their business by identifying the sales area which their good at. Therefore, to support the company's business development, this study aims to help PT RMK to find out the potential sales areas in Bogor Regency using data mining. The stages of data mining work from data collection, data selection, modeling stage using the K-means clustering algorithm, and evaluation to the implementation phase. The results achieved are based on the K-Means Algorithm clustering of Cluster 2 which results in the sub-districts of Gunung Putri and Cileungsi being the areas with the most superior potential. It can be concluded that Gunung Putri and Cileungsi sub-districts are the sub-districts that display the most superior potential graph. The conclusion is the k-means algorithm clustering method can be used in grouping potential sales areas in sub-districts in Bogor district based on total sales transaction data
Survey Analysis of Students and Teachers' Perceptions of E-Learning and M-Learning in Morocco

With the advent of new technologies, smart devices, and the evolution of ICT in education, the integration of new technologies into learning systems has been mandated and a new way of learning has been born. E-learning and m-learning provide learners with great opportunities anytime, anywhere without restrictions. A new generation of students has grown up with technology and can be easily identified through smart devices. We discuss the identity of e-learning and m-learning; conduct a survey analysis to measure student and teacher interest. The survey aims to promote e-learning and m-learning for the student and teacher community for adoption in Moroccan higher education.&#x0D; Qualitative and quantitative methods are supported. The results are analyzed at the end of this paper, and conclusions and positions are presented.&#x0D; Keywords— e-learning, m-learning, smart devices, ICT.
Practicum Learning for Students in Building an Iot-Based Oyster Mushroom Control and Cultivation System

Even though the Internet of Things (IoT) has become a research concern in the field of education, the learning media in IoT is still minimal, and IoT-based research for education is still limited. This means the learning media and research of IoT in student education is still challenging for researchers. In the meantime, mushroom cultivators do not understand what actions must be considered when cultivating mushrooms. Besides that, oyster mushroom cultivation also often fails due to Baglog's environmental conditions, which do not support the cultivation of oyster mushrooms. Also, by remembering, the development of educational technology has demanded efforts to use technology as a learning medium in learning. So that therefore this study aims to build an IoT-based control system for oyster mushroom cultivation as a student practical lesson media. The stages of developing a control system and cultivating oyster mushrooms in this study use the Waterfall model. This research method combines experimental, surveys, and observation procedures. This research succeeded in carrying out educational activities with results that satisfied students and made most students able to build an IoT-based control system and cultivate oyster mushrooms. This study found that the growth of oyster mushrooms whose Baglog environment was managed by an IoT-based system automatically grew faster, and the size of the oyster mushrooms produced was larger than Baglog whose environment was managed manually. This study's findings reinforce previous researchers' opinion that IoT technology has replaced traditional methods. This study's findings also remove the dark side of concerns about the continuation of oyster mushroom production by previous researchers.
PEMBANGUNAN SUMBER DAYA MANUSIA. PERSIAPAN GEODATABASE, DAN PEMBANGUNAN GEOPORTAL JARINGAN INFORMASI GEOSPASIAL KABUPATEN GRESIK

In the implementation of the regional geospatial information network, it is necessary to evaluate it as a continuous improvement effort. Evaluation is carried out on internal and external conditions, which include all elements in the implementation of geospatial information. The purpose of the evaluation is to find out the strengths and weaknesses. …. The achievements of Geospatial Information and Geospatial Data of Gresik Regency so far are that the Network Node of Gresik already has "Operational" status, compared to previously not having it, Gresik Regency is currently joining 38 other districts/cities with "Operational" status. The evaluation value is in class B, which means that the maximum construction time is 12 months. Apart from geoportal content, Gresik Regency also has a data forum, but there is no Spatial Data Forum yet, so that in the future the need for this forum will become very important to support the improvement of network nodes in Gresik.
Assessment of Quality of the Electronic Education System in the Corona Crisis Period: Applied Study on Al al-Bayt University

In response to the coronavirus crisis, higher education institutions have partially or fully transformed into electronic education systems (EESs). This paper presents the results of a student survey conducted at AL al-Bayt University to assess the quality of the electronic educational system (EES) during the coronavirus pandemic. The study variables addressed by the questionnaire were tangible physical features (TPFs), flexibility (FEES), examination construction and management (ECM); admission, storage, and registration management (ASRM), security and privacy (S&amp;P), learning site content (LSC); and students’ level of satisfaction (LoS). The exploratory study methodology was applied to 324 students at AABU, where the research data were collected using a Google Docs questionnaire and distributed to students. The results highlighted that students were satisfied with the quality of EES implemented by AABU during the lockdown period in terms of tangible physical features (TPF) and learning site content (LSC) and there was a statistically significant relationship between TPF and LSC. However, some undesirable features were reported, such as a lack of adequate infrastructure for students, which enabled them to interact effectively with their teachers to gain the target of applying EES. Consequently, AABU needs to implement effective measures to improve and increase the quality and level of satisfaction with EES. Finally, electronic education is a more adapted, smooth, and affordable alternative than traditional face-to-face education.
Historical Development of English Learning Motivation Research: Cases of Korea and Its Neighboring Countries in East Asia. Kim, T. Y. (2021). Springer Singapore, 318 Pages, ISBN: 9789811625121

Considering such intricate history regarding English learning in Korea and its neighboring nations in East Asia, Kim publishes the book Historical Development of English Learning Motivation Research: Cases of Korea and Its Neighboring Countries in East Asia in hope of contributing to L2 motivation research by analyzing Korean students’ English learning motivation not from synchronic but from macro, diachronic viewpoints.
Effect of Gradient Descent With Momentum Backpropagation Training Function in Detecting Alphabet Letters

The research uses the Momentum Backpropagation Neural Network method to recognize characters from a letter image. But before that, the letter image will be converted into a binary image. The binary image is then segmented to isolate the characters to be recognized. Finally, the dimension of the segmented image will be reduced using Haar Wavelet. One of the weaknesses of computer systems compared to humans is recognizing character patterns if not using supporting methods. Artificial Neural Network (ANN) is a method or concept that takes the human nervous system. In ANN, there are several methods used to train computers that are made, training is used to increase the accuracy or ability of computers to recognize patterns. One of the ANN algorithms used to train and detect an image is backpropagation. With the Artificial Neural Network (ANN) method, the algorithm can produce a system that can recognize the character pattern of handwritten letters well which can make it easier for humans to recognize patterns from letters that are difficult to read due to various error factors seen by humans. The results of the testing process using the Backpropagation algorithm reached 100% with a total of 90 trained data. The test results of the test data reached 100% of the 90 test data.