Reviewerly/exHarmony huggingface dataset:
Integrating Linguistics Theories in Developing Foreign Language Teaching Materials (German Grammar Textbook for Indonesian Learners)

This study aims to investigate the effectiveness of German grammar textbook using linguistic approaches in increasing students’ academic motivation, learning outcome, and linguistic understanding. This German grammar textbook is composed for Indonesian learners. This study employed experimental approach by involving two experimental groups without control group. The total research participants were 45 Indonesian students in the second semester of the German language education department divided into two classes. There were three variables observed in this study. Students’ learning outcome was measured by a grammar test developed by the researchers, while students’ academic motivation was measured using a scale developed by Vallerand et al. (1992) consisting of 28 items that had been translated into Indonesian and tested by Natalya &amp; Purwanto (2018). Students’ linguistic understanding was measured using the linguistic understanding scale developed by Hasmawati (2021). The treatment was conducted in six meetings in which each meeting took place for two hours using Zoom video conference platform. Data were analyzed using a descriptive statistic, a correlation test, and a paired sample t-test using the SPSS-26 application. The study found that the integration of linguistic approach, error analysis and contrastive analysis, in composing a grammar textbook of a foreign language is more likely to positively affect students’ academic motivation, learning outcome, and linguistic understanding.
The Use Of Tasks That Create A Tendency To The Problems Of Making Typical Mistakes In The Possession Of Graphic Literacy

This article discusses typical mistakes made by students in graphic literacy and the use of methods and tasks that can be used to prevent them.
Blockchain Analysis of the Bitcoin Market

In this paper, we provide detailed analyses of the Bitcoin network and its main participants. We build a novel database using a large number of public and proprietary sources to link Bitcoin addresses to real entities and develop an extensive suite of algorithms to extract information about the behavior of the main market participants. We conduct three major pieces of analysis of the Bitcoin eco-system. First, we analyze the transaction volume and network structure of the main participants on the blockchain. Second, we document the concentration and regional composition of the miners which are the backbone of the verification protocol and ensure the integrity of the blockchain ledger. Finally, we analyze the ownership concentration of the largest holders of Bitcoin.
PeTroShare: Blockchain-Managed, Logistics-Aware, Privacy-Friendly, Comparative, and Efficient Petroleum Transportation

Crude oil is one of the critically needed resources. It is the main pillar supporting almost everything we rely on in daily life. Unfortunately, due to many factors, crude oil costs too much. Transportation is one of the critical factors that affect such costs. Due to many environmental risks attached to the transportation process, many countries added very high tariffs to cover any hazards during the transportation, loading, and unloading process. Logistics concerns and political conflicts are the other key factors that can massively impact the transportation cost. This paper presents an Industry 4.0-compliant PeTroShare (PTS), a blockchain-powered trustworthy, logistics-friendly, and cost-efficient crude oil trading platform. PTS is a novel ride-sharing platform that enables an anonymous exchange of crude oil between oil producers and customers, focusing mainly on the product quality, not the source of origin. In our scenario, floating crude oil tankers will hold the cargo to an intermediate position in the open ocean. PTS will match the product availability based on the location and the needed quality of the customer requests. Consequently, the time and distance travelled are minimized. Our simulation results show that enabling the anonymous sharing of crude oil products can significantly enhance system efficiency and cost-effectiveness.
Parental Perspectives and Practices in Maintaining the Heritage Language (A Case Study of Preserving Ambonese Malay)

Intensity of using national and foreign languages â€‹â€‹in various sectors indirectly changes people's views on the importance of learning or even maintaining the heritage languages. Consequently, the heritage language may experience a transition because it is rare or even no longer used in daily communication, particularly in the family context. This current study aims to analyze parentsâ€™ perspectives about the maintenance of the native language, including their practical ways to preserve the cultural heritage, namely Ambonese Malay. Twenty two parents were randomly selected to participate in this study by filling in the questionnaire that was distributed by electronic system through Google Form. Findings of this research showed that parents have positive language attitudes towards Ambonese Malay and its maintenance as heritage language. Their attitude was revealed in their willingness to teach the Ambonese Malay to their children, use the language in their family communication and at traditional ceremonial and family events, including their expectation of having Ambonese Malay in the school curriculum. Moreover, practical ways of using Ambonese Malay as the dominant language in discussing daily topics at home with the family members were the indications of parentsâ€™ persistence ways in preserving the Ambonese Malay in the family domain.
Distributed database on blockchain technology for new era of electricity transactions

The electricity retailers or suppliers promote business models focused on consumers-centred services except few of them. The reader could even doubt their interest in offering the most appropriate tariffs since lower tariffs imply lower revenue and consequently lower profit. No one-fit-for-all service can actively engage the electricity consumers. Most of the electricity consumers do not understand their consumption behaviour because they do not know it, they do not have real access to the consumption data. The current web portals do not share the consumption data with third parties, thus there is no market solutions. In this paper, we propose a distributed database architecture on blockchain technology for electricity transactions that innovate and increase the market competition in the era of digitalization enhancing the consumers awareness and transparent transitions.
Gamification for Education 5.0

Gamification uses game-like attributes in the educational context, which helps users to achieve their goals and overcome their negative orientation towards the system. Games developed for education are not restricted to age, culture, or subject and were very active in apprising the tasks presented by the user. Hence, this chapter provides augmented reality games that can change students' learning practice. Some of the popular tools for gamification of math programs, language learning, and classroom platforms adapted to all platforms are given. The case studies of using gamification in school education for music, biology, mathematics, literacy, and vocabulary learning, and in higher education for information studies, computer science, computer organization and cloud computing, library, Unified Modeling Language, mathematics, vocational courses, factory management, manufacturing training, software development, French language, software engineering, etc., are given with the features used and the results. Finally, the effects of gamification on students' satisfaction, cognitive load, and social problems are described.
On the sunflower bound for k-spaces, pairwise intersecting in a point

A t-intersecting constant dimension subspace code C is a set of k-dimensional subspaces in a projective space $$\mathrm {PG}(n,q)$$ , where distinct subspaces intersect in exactly a t-dimensional subspace. A classical example of such a code is the sunflower, where all subspaces pass through the same t-space. The sunflower bound states that such a code is a sunflower if $$|C| > \left( \frac{q^{k + 1} - q^{t + 1}}{q - 1} \right) ^2 + \left( \frac{q^{k + 1} - q^{t + 1}}{q - 1} \right) + 1$$ . In this article we will look at the case $$t=0$$ and we will improve this bound for $$q\ge 9$$ : a set $$\mathcal {S}$$ of k-spaces in $$\mathrm {PG}(n,q), q\ge 9$$ , pairwise intersecting in a point is a sunflower if $$|\mathcal {S}|> \left( \frac{2}{\root 6 \of {q}}+\frac{4}{\root 3 \of {q}}- \frac{5}{\sqrt{q}}\right) \left( \frac{q^{k + 1} - 1}{q - 1}\right) ^2$$ .
Visualisation Tool to Support Fraud Detection

Automatic fraud detection and prevention are challenging problems that have attracted the attention of many researchers in academia and industry. Over the last few years, many improvements have been achieved, especially in predictive models based on Machine Learning. However, a considerable amount of these models only provide a prediction score and a short explanation which may not be enough to make informed decisions. This paper presents a visualization tool that aims to assist fraud analysts in making informed decisions and increase their effectiveness in the detection of fraud. To this end, we designed three visualisation models that apply state of the art techniques to support the analysis of fraudulent transactions. To demonstrate the analytic capabilities and benefits of the proposed tool, we discussed a real use case scenario and conducted user testing with real fraud analysts. Through the feedback from both studies, we were able to conclude that the tool is an asset to facilitate the detection of suspicious events as well to improve the analysis times of the fraud analysts’ work process.
Modernized Healthcare Using Augmented Reality

A rapid progression is happening in augmented reality (AR) technology, especially in the healthcare discipline. There is an enormous potential in AR technology to enhance the patient’s safety and ease the medical practitioner’s services. AR applications in the healthcare domain consist of doctor and patient interaction, local surgeon and remote surgeon interaction, rehabilitation, and other phobia treatments. The case studies of AR in the healthcare discipline include medical education, nurse training, dentistry, surgical visualization, and diagnostic imaging. Medical practitioners use AR gadgets such as Google Glass, 3D display devices, video cameras, projectors and trackers, and software packages to improve the services offered in healthcare.
Infusing Data Literacy in Design Education: Maturing a Distributed Design Observation Approach in Portugal

The production of data about design is important to create new knowledge about the discipline and support the development of better public policies. In Portugal, the DesignOBS project is developing these tasks, gathering information about the ecosystem. Databases are very important instruments to understand the discipline to systematically innovate. In this paper, we want to go further and address its literacy. Starting from the assumption that design is an activity of cultural mediation, its role in data interpretation could promote more participatory discussions about the discipline, and ultimately enrich the ecosystem; but data literacy in design is still at its infancy. To address this challenge, the present paper describes a hands-on approach to infuse data literacy in an educational design context, to support novice designers navigating a database about design companies. The study adopts a longitudinal case study approach and follows fifteen students from a design master course during the period of one semester. This research is an additional step for the maturation of the process to develop a design observatory in Portugal. It resulted in a set of data-focused infographics about design companies, richer datasets and levered the transformation of the student’s perception of their potential role in the context of data. This study contributes to ongoing discussions at the intersection of data literacy and design, still in an early stage. Moreover, it advances design research by reflecting on the value of adopting designerly approaches to create new materials, diffuse information about the design ecosystem and promote more participatory reflections about the discipline.
Assessing the Sufficiency of Arguments through Conclusion Generation

The premises of an argument give evidence or other reasons to support a conclusion.However, the amount of support required depends on the generality of a conclusion, the nature of the individual premises, and similar.An argument whose premises make its conclusion rationally worthy to be drawn is called sufficient in argument quality research.Previous work tackled sufficiency assessment as a standard text classification problem, not modeling the inherent relation of premises and conclusion.In this paper, we hypothesize that the conclusion of a sufficient argument can be generated from its premises.To study this hypothesis, we explore the potential of assessing sufficiency based on the output of large-scale pre-trained language models.Our best model variant achieves an F 1 -score of .885,outperforming the previous state-of-the-art and being on par with human experts.While manual evaluation reveals the quality of the generated conclusions, their impact remains low ultimately.
A Fast Fault-Tolerant Routing with ECDSA Signature Protocol for Internet of Vehicles

With the gradual popularity of high-speed wireless networks and 5G in the market, the quality and reliability of network services for high-speed moving vehicles have also improved. In addition to communicating information between vehicles, vehicles can also communicate with surrounding roadside equipment, pedestrians, or traffic signs to improve road safety for passersby. In an open communication environment of the Internet of Vehicles (IoV), personal information will be exposed to the wireless network. Based on the consideration of information security and personal information protection, this study focuses on how to protect the real-time transmission of information in IoV, and prevent unauthorized vehicles, drivers, or passersby from participating in communications and implanting or modifying important transmission information.
Relationship Between Emotional Intelligence and Geography Learning Outcomes of Class XII Students at Wahdah Islamiyah Integrated Islamic High School Makassar

This study aims to determine whether there is a relationship between emotional intelligence and geography learning outcomes in class XII Islamic Senior High School Wahdah Islamiyah Makassar. This research is a type of quantitative research with the Spearman Rank correlation method. The data collection technique uses a questionnaire. The sampling technique in this study used a saturated sampling technique with a total of 25 respondents. For learning outcomes data is taken from the grade XII student report cards in the geography subject. The results of the analysis of emotional intelligence data are included in the medium category with an average value = 107.84 at intervals 103–110, for geography learning outcomes are included in the low category with an average value = 83.52 at intervals 81-84, to prove whether or not there is a relationship between emotional intelligence and geography learning outcomes, it can be seen from the calculation obtained using the Spearman Rank correlation formula, where the value of rs =0.037, with a significant value of 0.861. Because sig &gt; 0.05, it can be concluded that emotional intelligence does not have a significant relationship with geography learning outcomes and the relationship is included in the very low category.
Reading Motivation: Classroom-Based Instruction and Technology Support

This paper aims to provide an overview of the reading motivation enhancing strategies that teachers can use in their classrooms based on a review of previous research. At first, effective classroom practices, such as making reading relevant, offering choices, providing proximal challenges, collaborative learning, using extrinsic incentives, are reviewed along with their theoretical and empirical rationales. Second, the newly arising electronic-text reading was specially concerned with an emphasis on its potential to promote children’s reading motivation. It was revealed that electronic-text reading based on new technologies seems to have positive effects on children’s reading motivation. Yet,  this type of reading also has a risk of distracting children, and its effects are also challenged by some researchers and required more research to examine further in the future. Thus, teachers should be cautious enough when using electronic-text reading to promote children’s reading motivation in their classrooms.
Pengaruh Penggunaan Model Membaca Total dan Motivasi Belajar Terhadap Keterampilan Membaca Pemahaman Siswa Sekolah Dasar

This research is motivated by phenomenon happens on the pitch that students have difficulty in reading comprehension. This is evident from the low values obtained by the students in reading comprehension. This phenomenon makes researchers interested in conducting research. This study aimed to obtain information about the effects of the use of models in total reading and learning motivation towards reading comprehension skills of the sixth grade students of SDN 09 Surau Gadang Kecamatan Nanggalo Padang. This research is a quantitative research methods quasy experiment. The results showed that: (1) reading comprehension skills of students taught by reading the model total is better than reading comprehension skills of students taught by conventional methods, (2) reading comprehension skills of students who have high motivation to learn are taught using models of total reading is better than reading comprehension skills of students who have high motivation to learn are taught using conventional methods, (3) read a deep understanding of writing skills have low learning motivation taught by reading the model of total better than the reading comprehension skills of students who have low learning motivation taught by conventional methods, and (4) there is no significant interaction between the model reading with the total student motivation towards reading comprehension skills. Based on this research can be concluded that there are significant models in total reading and learning motivation towards reading comprehension skills of students in the class VI SDN 09 Surau Gadang Kecamatan Nanggalo Padang.
Networks and Spillovers in Software in Israeli Hi-Tech

A large literature has used patent data to measure knowledge spillovers across inventions but has not explicitly considered the collaboration networks formed by inventors as a mechanism for shaping these knowledge flows. Using a recently developed methodology, we examine the incidence and nature of knowledge flows mediated by the collaboration networks of inventors. We apply this methodology to three sectors in which programming skills are vital: (i) Information and Communication Technology/Information Security (ICT/IS) (ii) Financial Technology (Fin-Tech,) and (iii) Medical Technology (Med-Tech.) These are all areas of innovation in which Israel should have a comparative advantage. We find the following: (I) the quality of the Israeli ICT/information security inventions is systematically linked to the structure of the collaborative network. In particular, we find positive and significant direct and indirect knowledge spillovers. (II) We find no evidence of such spillovers in either Fin-Tech or Med-Tech.
Investigating the Problems of Teaching Online by In-service Teachers During COVID-19 Pandemic

The invasion of the COVID-19 virus in Indonesia has sent in-service teachers and students to shift traditional teaching into online learning.However, the unpreparedness of the practice of online learning gives rise to problems in its implementation.Despite plenty of similar studies focusing on online learning, they still lack of vivid explanations about the problems that appeared during online learning, especially in in-service teachers' problems and perspectives.Due to the current condition, this research was conducted to find out the problems faced by the English in-service teachers during the implementation of online learning.Therefore, this study is aimed at portraying the problems that hinder online learning from in-service teachers' perspectives.The researchers used a qualitative approach with the interview and questionnaire as the tools to collect the data.The result shows that the English in-service teachers had several problems during the implementation of online learning.These are (1) problems in the process of online English language teaching, (2) problems in using application and software, and (3) problems from the students that have mainly become the main problems in implementing online learning during COVID-19 pandemic time.
Correlation Properties of Sea Surface Images on Video Stream Frames

The work is devoted to the characteristic properties analysis of the sea surface image on video stream frames, which make it possible to make a decision about the detection of object images on them in the absence of a priori information about objects, which is important in the development of navigation systems, security and surveillance systems. In this paper, it is proposed to analyze the values of the normalized cross-correlation coefficients of a given image fragment with higher dimension fragments on sequential video stream frames to identify the distinctive properties of agitated sea surface and floating objects images. The computational experiments were carried out and have shown that the analysis of the results of calculating the frame fragments cross-correlations allows us to estimate the amount of displacement and distortion of a given image fragment. The results of computational experiments demonstrate the presence of differences in the values of the corresponding cross-correlation coefficients for the sea surface images with different agitation degrees, containing and not containing an image of the object. Based on the analysis of the proposed correlation properties of the sea surface images, a decisive rule for selecting fragments of frames containing an image of an object is formulated, the use of which, in many cases, allows to detect fragments of object images correctly.
GENERALIZATION OF EXPERIENCE IN USAGE OF CASE TECHNOLOGY IN THE FORMATION OF STUDENTS’ SOCIAL SKILLS

In the context of a fundamental change in the educational paradigm, the transition to interactive teaching methods, the search for alternative forms in the educational process, which would form in applicants for higher education not only professional but also social skills.Among modern technologies and interactive teaching methods, a special place is given to case technology, which provides the formation of interpersonal interaction as an important higher education skill.Taking it into consideration, the article clarifies the essence of the concept of "case method", by which we mean the analysis of students in a microgroup in the offered situation, usually problematic, with further development of solutions, presentation of the final optimal solution, summarizing.The paper substantiates that working with cases allows to apply theoretical knowledge to solve practical problems, forms a professionally necessary set of competencies, helps to develop students' independent thinking, combining theory with practice.The stages of case technology implementation (preparatory stage, stage of immersion in joint activity, stage of organization of joint activity, stage of analysis and reflection) are specified.The article reveals the importance of this method, which is due to its versatility and ability to solve problems comprehensively.The foreign and national experience of application of case-technology in formation of social skills of students is generalized.The necessity of using the case study method to improve the quality of education in higher education institutions of Ukraine is substantiated.