Reviewerly/exHarmony huggingface dataset:
Using Story Mapping Technique in Teaching Writing Skills at SMAN 1 Palopo

The purpose of this research was to find out whether the use of story mapping technique effective to improve students’ writing recount text at the first grade of SMAN 1 Palopo. This research applied quasi experimental. The research was carried out in two classes, experimental and control classes. The population of this research was the first grade students of SMAN 1 Palopo. The samples of this research were Class X MIPA 2 as a control class and Class X IPA 3 as experimental class. The sampling technique in this research was random sampling. The instrument of this research was writing test. The writer gave pretest and posttest to the students. The data was analyzed by using SPSS 20.The result of this research showed that the use of story mapping technique in teaching writing recount text is effective. It could be seen from the result of calculation that the students’ score in experimental class which was higher than students’ score in control class. The mean score of posttest in experimental class was higher than the mean score of pretest (76.7667&gt;61.6667). While in control class the mean score of posttest was also higher than the mean score of pretest (71.0667&gt;67.8000). It means that there was significant difference between the students’ score in teaching writing recount text by using story mapping technique and students’ score in teaching writing recount text without using story mapping technique at the first grade of SMAN 1 Palopo.
Ways to increase the quality of didactic interactions

The paper analyses the directions of the recent research on improving the methods and quality of didactic interactions. The review and analysis of the literature shows changes of a behavioral, social, as well as informational and communicational character that have occurred in education for over a dozen years. Based on the literature review, the authors analyse the ways of improving didactic competences of the teacher. They indicate that the teacher equipped with the appropriate knowledge in this field not only masters the discipline more effectively but is, above all, more effective in any didactic situation. The studies also show the directions of the teacher's needs and their incompetence in some areas. They enable the development of new strategies for the teacher-student interaction and become an important element in the preparation of the content of new training programs. Increasing the quality of didactic interactions is a process of the development of a teacher as a practitioner who continuously analyses and reflects on their work. The authors believe that the didactic interactions and techniques discussed in it favour profound reflection on the difficulties encountered in education and assist teachers in regaining self-trust and managing to create more effective didactic activities.&#x0D; Key words: advising, evaluation, coaching, didactic interactions, reflection, teachers
Developing English reading and writing materials for Automotive Engineering program in vocational high school

The aims of this study are: (1) to identify the needs of grade 11 students of Automotive Engineering Study Program in learning reading and writing, and (2) to develop appropriate English reading and writing learning materials. This is research and development that employed Jolly and Bolitho’s model (1998) with some adaptation. The procedure of the development consists of conducting needs analysis, designing the syllabus, developing learning materials, expert judgment, conducting field testing, and materials evaluation. The subject of the research were 64 grade XI students of TKR (Light Vehicle Engineering) at VHS 1 of Purworejo. The instruments used to collect the qualitative and quantitative data are questionnaires, interview guide, and observation sheet. The quantitative data were analyzed using the descriptive statistics, while the qualitative data were analyzed using Miles, Huberman, and Saldana’s data model (2014), namely data condensation, data display, and data conclusion. The needs analysis data indicate that in learning reading, the students want to learn simple instructions and vocabulary items relevant to the automotive field. They also want to learn to write letters and create simple reports that are relevant to automotive field. Regarding the theoretical validation, the appropriateness of learning materials is categorized “very good” according to the expert with the mean score of 3.48 (in the interval 3.28 £ x £ 4). The appropriateness of the learning materials is categorized “very good” according to the students, with the score of 3.54 (in the interval 3.28 £ x £ 4). In general, the developed learning materials are appropriate for grade 11 students of the Automotive Engineering Study Program of VHS 1 of Purworejo.
Using Technology-Mediated Board Game on Young Learners

Background:&#x0D; The use of games and technology for educational purposes can be an appropriate method of enhancing learning performance. Therefore, this study presents a technology-mediated board game and its related course to engage young learners in Indonesia for learning English vocabulary. The study investigated young learners' vocabulary learning performance and learning motivation as the effects of using technology-mediated board game in the course.&#x0D; Methodology: &#x0D; This study employed a quasi-experimental design involving 67 students of one urban and one rural primary school. The vocabularies of fruits and vegetables were implemented online in the game by using QR codes. The instructional practices are to improve students' learning achievement and to find out students' learning motivation. The pre-test, post-test, and Keller's ARCS motivation model were conducted to analyze the effectiveness of technology-mediated board game for learning English vocabulary.&#x0D; Findings: &#x0D; The main finding indicated that technology-mediated board games could improve students' English vocabulary learning achievement. Moreover, the use of technology-mediated board games encouraged young learners to have strong learning motivation. On the other hand, the game could promote students to have a concept in gardening that can be encounter in their daily life.&#x0D; Conclusion: &#x0D; These findings imply that technology-mediated board game becomes an effective way of teaching English vocabulary to young learners in Indonesia.
Applying Pen Pressure, Tilt and Touch Interactions to Data Visualizations

Bimanual interactions using pen and touch are natural to humans and have proven and explored in previous research. However, most of the previous work has been limited to using cartesian coordinates of fingers and pen tip. In this work, we go further by exploring additional pen data, like pressure and tilt, combined with multi-touch inputs. We apply this combination to two data visualizations: Bubble Chart and Linear Regression combined with a Radar. We have performed a preliminary user study comparing Pen and Touch interactions with Mouse input. We have found the Pen and Touch interactions can consume less time while looking for specific values in the Bubble Chart, whereas Mouse can be faster while looking for specific relation in Linear Regression and Radar.
Identification of Student Area of Interest using Fuzzy Multi-Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) Methods (Case Study: Information System Major, Universitas Pembangunan Nasional "Veteran" Yogyakarta)

Identifying the area of interest is a must for every student in each study program before choosing the elective courses. Ideally, a student chooses their area of interest by considering the scores of all courses that they have been completed. Nevertheless, they do not thoughtfully choose their interest since they may follow what their friends' are. Decide to choose the wrong area of interest may result in difficulty while completing their education. This research aims to help students' academic supervisors guide their students by implementing a decision support system to help students and academic supervisors determine their area of interest. Decision support systems in this research are built through two stages: observation, decision-support modeling. Observations were made to determine the criteria and attributes used. The decision support model was made using the Fuzzy Multi-Attribute Decision Making (FMADM) method, followed by ranking the result to obtain the best possible recommendation using the Simple Additive Weighting (SAW) method. With FMADM and SAW, the decision support system has been successfully carried out and resulted in the recommendations ranking to support the assortment of area of interest for Information System students in UPN Veteran Yogyakarta.
Banknote Counterfeiting Phenomenon in Poland

Abstract The paper presents the phenomenon of banknote counterfeiting in Poland and a selection of methods used against this type of crime. It shows that the number of counterfeit banknotes in Poland is much lower than in the eurozone countries. Moreover, a share of counterfeit Polish zloty banknotes significantly dropped in 2011 to the level of 7.6 ppm and between 2015–2018 to the level of 2.6–2.7 ppm . This decline can be associated with increased law enforcement (elimination of a large criminal group of counterfeiters in 2001) and the Polish zloty banknotes upgrade in 2014 and 2016, which introduced a set of new security features further discussed in this paper. This leads to the conclusion that regular currency modernization, introducing new security features as well as law enforcement activities are an effective anti-counterfeit method.
The Development of the Masters’ Professional Competence by Means of the Information and Communication Technologies

Summarizing the results of the theoretical and experimental research confirmed the probability of the leading principles of the general and partial hypotheses, proved the effectiveness of solving the set tasks and made it possible to formulate the conclusions.the pedagogical system of development of professional competence of Masters-translators by the means of information and communication technologies, characterized by functionality, complexity, openness, unity and at the same time comparative independence of the structural components, was modeled. The system covers five subsystems: targeted, conceptual and methodological, content, operational and technological, evaluating and efficient. The experimental verification of the effectiveness of the proposed pedagogical system revealed significant quantitative and qualitative changes: the majority of the students of the experimental groups after their studies were completed acquired a level of the professional competence development above satisfactory, in particular, a noticeable increase of students with an average and high level was recorded. The received results were the consequence of the effective author’s pedagogical system and the model of development of professional competence of Masters-translators by the means of information and communication technologies, and therefore with the help of the created pedagogical conditions and educational and methodical support.
A Low Latency ASR-Free End to End Spoken Language Understanding System

In recent years, developing a speech understanding system that classifies a waveform to structured data, such as intents and slots, without first transcribing the speech to text has emerged as an interesting research problem. This work proposes such as system with an additional constraint of designing a system that has a small enough footprint to run on small micro-controllers and embedded systems with minimal latency. Given a streaming input speech signal, the proposed system can process it segment-by-segment without the need to have the entire stream at the moment of processing. The proposed system is evaluated on the publicly available Fluent Speech Commands dataset. Experiments show that the proposed system yields state-of-the-art performance with the advantage of low latency and a much smaller model when compared to other published works on the same task.
Introduction to the Special Issue: Data Visualization in Composition Studies

Gallagher and DeVoss introduce the special issue on Data Visualization in Composition Studies. They situate the issue in scholarship on visual rhetoric and multimodality, and they overview the contents of the special issue.
TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm

Abstract Recently, many super-resolution algorithms have been proposed to recover high-resolution images to improve visualization and help better analyze images. Among them, total variation regularization (TV) methods have been proven to have a good effect in retaining image edge information. However, these TV methods do not consider the temporal correlation between images. Our algorithm designs a new TV regularization (TV2++) to take advantage of the time dimension information of the images, further improving the utilization of useful information in the images. In addition, the union of global low rank regularization and TV regularization further enhances the image super-resolution recovery. And we extend the exponential-type penalty (ETP) function on singular values of a matrix to enhance low-rank matrix recovery. A novel image super-resolution algorithm based on the ETP norm and TV2++ regularization is proposed. And the alternating direction method of multipliers (ADMM) is applied to solve the optimization problems effectively. Numerous experimental results prove that the proposed algorithm is superior to other algorithms.
Relaxed Locally Correctable Codes with Improved Parameters.

Locally decodable codes (LDCs) are error-correcting codes C: Σ^k → Σⁿ that admit a local decoding algorithm that recovers each individual bit of the message by querying only a few bits from a noisy codeword. An important question in this line of research is to understand the optimal trade-off between the query complexity of LDCs and their block length. Despite importance of these objects, the best known constructions of constant query LDCs have super-polynomial length, and there is a significant gap between the best constructions and the known lower bounds in terms of the block length.For many applications it suffices to consider the weaker notion of relaxed LDCs (RLDCs), which allows the local decoding algorithm to abort if by querying a few bits it detects that the input is not a codeword. This relaxation turned out to allow decoding algorithms with constant query complexity for codes with almost linear length. Specifically, [{Ben-Sasson} et al., 2006] constructed a q-query RLDC that encodes a message of length k using a codeword of block length n = O_q(k^{1+O(1/√q)}) for any sufficiently large q, where O_q(⋅) hides some constant that depends only on q.In this work we improve the parameters of [{Ben-Sasson} et al., 2006] by constructing a q-query RLDC that encodes a message of length k using a codeword of block length O_q(k^{1+O(1/{q})}) for any sufficiently large q. This construction matches (up to a multiplicative constant factor) the lower bounds of [Jonathan Katz and Trevisan, 2000; Woodruff, 2007] for constant query LDCs, thus making progress toward understanding the gap between LDCs and RLDCs in the constant query regime.In fact, our construction extends to the stronger notion of relaxed locally correctable codes (RLCCs), introduced in [Tom Gur et al., 2018], where given a noisy codeword the correcting algorithm either recovers each individual bit of the codeword by only reading a small part of the input, or aborts if the input is detected to be corrupt.
Blockchain and DLTs in the Maritime Industry: Potential and Barriers

In the shipping industry, a significant part of the documents exchanges still have the traditional paper form, mainly due to security concerns, despite the size and modernization efforts of this market. We explore the adoption of the blockchain and Distributed Ledger Technologies to address document exchange in a fast and secure way.
Singibot - A Student Services Chatbot

Singibot is a restful web application with the intent of providing information to the students of Singidunum University.The web application takes advantage of the Spring framework for Java and the communication logic between the human and the bot is built upon the well-known AliceBot that is based on the AIML technology.The long-term goal is to build a self-learning bot that can adapt to evolving students' requests.In this iteration, we are presenting a pilot version and the implemented functions for this version are the means to respond to questions regarding the information related to the education at this institution and to carry on an informal conversation.The goal for this version is to provide a service for students that will improve their studying experience and the quality of their studies.
Evaluation of Feature Detector-Descriptor Using RANSAC for Visual Tracking

Vision-based tracking is an essential prerequisite to a growing number of applications in computer vision. Any tracking algorithm is expected to deal with problems like a change in intensity, scale, pose, and camera motion. This paper summarizes the implementation of such algorithms stating their merits and demerits under various transformation and distortion of images like blurring, noise, intensity variation, and rotation. Also, implementation of an object recognition system is done that uses image matching techniques with RANSAC algorithm to identify the objects in a given scene using their 2-D images. AKAZE, BRISK, DAISY, FREAK, ORB, SIFT and, SURF algorithm has been used for feature detection, extraction, and matching. Then the outliers are removed by RANSAC algorithm and homography detects the object for each image matching algorithm.
Self-Regulatory Training In The Process Of Summarizing A Professionally-Oriented Text

This article analyzes the process of summarizing a professionally-oriented text in the context of selfregulatory learning in the context of the formation of the student's autonomous personality.The main goal of the article is to substantiate the concept of self-regulated learning, to identify its structurallymeaningful components, to disclose this concept in the light of the concepts of domestic and foreign scientific schools, to analyze the features of abstracting text to form critical thinking and foreign-language communicative competence.The article describes the technology of summarizing a professionallyoriented text in the conditions of self-regulatory training for students.In order to identify the levels of organization of mental activity, the analysis involved an algorithm of actions for summarizing a professionally-oriented text in the conditions of self-regulated training.For solving the tasks in the article, the methods of comparative, theoretical, and methodological analysis, as well as the empirical method of training, were used.A review of the theoretical and methodological aspects and the implementation of the experimental part of the work allows concluding that the technology of summarizing professionallyoriented text in the conditions of self-regulatory training can serve as the basis for the development of professional competence of students-economists, increase the level of independence and self-management of educational and cognitive activities, to ensure self-expression and self-efficacy.The question of the relevance of the self-regulatory learning process in the context of modern education can lead to the extrapolation of theoretical ideas of self-regulation to other academic subjects, taking into account their specificity.
Quantitative Evaluation of Emergency Medicine Resident’s Non-technical Skills Based on Trajectory and Conversation Analysis

In this paper, we propose a quantitative method for evaluating non-technical skills (e.g., leadership skills, communication skills, and decision-making skills) of Emergency Medicine Residents (EMRs) who are participating in a simulation-based training. This method creates a workflow event database based on the trajectories of and conversations among the medical personnel and scores an EMR’s non-technical skills based on that database. We installed a data acquisition system in the emergency room of Tokyo Medical University Hospital to obtain trajectories and conversations. Our experimental results show that the method can create a workflow event database for cardiac arrest. In addition, we evaluated EMRs who are beginners, intermediates, and experts to show that our method can correctly represent the differences in their skill levels.
Analysis of the Effect of Blended Learning Implementation to Academic Productivity Performance in Beginning Pandemic

Modifications in learning methods were experienced by various educational institutions during the COVID-19 pandemic in Indonesia. The application of blended learning is the common method that combines offline and online learning. This is a simple form of implementing government policies to minimize the spread of COVID-19 by delivering learning activity from home. This research aims to determine the effect of the information systems use on the blended learning method on student’s academic productivity performance. The research data is primary data, which is based on a survey using a questionnaire for students of the Accounting Department, Faculty of Economics and Business, Universitas Pembangunan Nasional Veteran Yogyakarta. The sample selection was conducted using a purposive sampling technique. Data were analyzed using descriptive analysis and regression analysis. This research showed the influence of using blended learning applications on student performance during the pandemic. This research found that blended learning application uses strongly impacts student’s academic productivity performance. The small scope of sample and level of varian application use turn out to be the research limitation of this research
Conclusions of the Neuro Fuzzy Hybrid Model

In this book, a new model has been designed using intelligent techniques, which implements human reasoning based on a set of decision rules based on an expert, with the aim of diagnosing different diseases, such as hypertension.
In Media Res: A Corpus for Evaluating Named Entity Linking with Creative Works

Annotation styles express guidelines that direct human annotators in what rules to follow when creating gold standard annotations of text corpora. These guidelines not only shape the gold standards they help create, but also influence the training and evaluation of Named Entity Linking (NEL) tools, since different annotation styles correspond to divergent views on the entities present in the same texts. Such divergence is particularly present in texts from the media domain that contain references to creative works. In this work we present a corpus of 1000 annotated documents selected from the media domain. Each document is presented with multiple gold standard annotations representing various annotation styles. This corpus is used to evaluate a series of Named Entity Linking tools in order to understand the impact of the differences in annotation styles on the reported accuracy when processing highly ambiguous entities such as names of creative works. Relaxed annotation guidelines that include overlap styles lead to better results across all tools.