Reviewerly/exHarmony huggingface dataset:
The Process and Influence of Implementing Korean Dual Language Diploma Programme of International Baccalaureate on the School Culture and Philosophy

The outstanding product of the MOC (Memorandum of Cooperation) between the IBO (International Baccalaureate Organization) and the DMOE (Daegu Metropolitan Office of Education), Korean Dual Language Diploma Programme of International Baccalaureate (IB), is the result of meeting bottom-up research and practices by teachers who’ve made efforts for classroom innovation by focusing on learners’ competences along with top-down actions by DMOE shifting its pedagogical paradigm towards a goal of developing future competences of students for future society. Although it is not easy to adopt pedagogical reform to improve the limited and rigid educational situation which has been geared toward the framework of college entrance systems, efforts to pursue the essence of education have taken form connected with IB, which has been internationally refined and verified over a significant period of time. Each part of the IB programmes has been used for college application worldwide by operating stable ‘criterion referenced assessment.’ This could suggest us a lot in solving such issues as student-centered learning, growth-oriented evaluation, and differentiated education, which are key factors for the full implementation of the high school credit system and its successful settlement. Here I provide the past two years of efforts and actions which Kyungpook National University High School has made from the phase of consideration up to the current candidacy phase of consultation visit with its overall influences on the school community.
Detoxifying Anti-Vaxxer FEAR* Speech and First Amendment Obstacles *False, Fraudulent, Flawed, Fake, Endangering, and Reckless

As the anti-vax industry continues to stoke fear and incite vaccine resistance, some means must be found to detoxify their false messages. Here, I investigate free speech protections available for dissemination of false anti-vax speech, concluding complete protection in the context of political speech without proof of fraud, but limited in the context of commercial speech. I then investigate the commercial ties of anti-vax mechanisms used in the strikingly effective outreach targeting insular audiences: the conference and pamphlet vehicles. Here, research indicates that these vehicles incorporate fingerprints of commercial enterprise, thereby making them eligible for regulation under the doctrine of compelled speech. This approach allows for the requirement of imposing warning labels on conference advertising and marketing and pamphlets, which may provide the salutary benefit that is not obtainable by counter-speech, which has thus far proven ineffective.
A Case Study on the Application of International Baccalaureate MYP Program to Kyungpook National University Middle School in Korea

Kyungpook National University Middle School received a verification visit from December 16 to 17, 2020, after two years of running a candidate school after obtaining IB MYP candidate school qualification in March 2019. On January 22, 2021, the school became the first national public school in the country as an authorized IB school. As a result, the IB MYP program will be operated as a member of IB World School from March 2. In this paper, the introduction process of IB MYP program and the success factors of Kyungpook National University Middle School and the opinions of the school members on the operation of IB program are examined. Through this, three proposals that can help other middle schools in Korea which introduce the IB MYP program in the future will be presented. First, schools preparing to introduce the IB MYP program should pay attention to the IB framework. The IB framework is the basis for the application of IB program. Therefore, it is wise to prepare for the introduction of the IB MYP program in accordance with the situation facing each school, focusing on the IB framework. Second, the decisive factor in the introduction of the IB MYP program is teaching and learning. Therefore, how schools can support teachers to design and guide the understanding-based curriculum and concept/inquiry-based classes is a very important question. Some examples of Kyungpook National University Middle School provide a good answer to this question. Schools considering the introduction of the IB MYP program should think about what systems should be designed to foster teachers’ professional development in teaching and assessment based on the unique context of each school. Third, the International Baccalaureate Organization(IBO) provides only a guide for the school to apply the program, and all practical application can be flexibly operated according to the situation of the country and the context of the school. Therefore, if the school is ready to introduce the IB MYP program, the school members need to think deeply about how to flexibly operate the IB MYP program in consideration of each school’s educational philosophy and context rather than trying to find the right answer.
UPAYA PENINGKATAN MOTIVASI DAN HASIL BELAJAR PESERTA DIDIK PADA MATA PELAJARAN EKONOMI MELALUI PENERAPAN MODEL PEMBELAJARAN STAD

This study aims to increase the motivation and learning outcomes of students in economic subjects using the Student Team Achievement Division (STAD) learning Model. The research method uses this type of classroom action research with data collection methods trhough observation, ability tests and documentation during the second cycle. The subject of the research were 31 students of class X IPS 4 at SMAN 4 Makassar. The result of this study indicate that the motivation and learning putcomes of students during the learning process using the STAD learning model have increased. This increase was seen from the first cycle post-test seen from 31 students, there were 11 students who had not completed and 20 others got complete scores with the percentage of completeness of 64,51% and the category of the average score of student as “good”. Then in the second cycle there were 28 students got complete score with a compeleteness percentage of 90,32% and score category of 13 students who were “very good” and others in the good “category”.
The Eligibility of the "PanduanMateri Agama" Book as an English Textbook in Early Childhood Education

Textbook is one of the effective teaching materials used in early childhood education. It is the best component that contains the material for achieving the purpose of learning. This study dealt with the eligibility of “PanduanMateri Agama” English textbook because it was not yet known its quality. The purpose of the research was to know the eligibility of “PanduanMateri Agama” English textbook. The good criteria of the good textbook according to the guide of National Educational Ministry covered the presentation, the content, the character, and the illustration. This English textbook was used in AmanahUmmah Kindergarten, Surakarta. This research design used descriptive qualitative and the method of collecting the data was by documentation. The researchers did the coding and then proceed by calculating the percentage of the eligibility. The member checks and reference materials were used to validate the data of the research. The data analysis technique used content analysis. The results of the analysis were described as follows. The quality of material was eligible, 62,5%; the quality of the content was eligible, 62,5%; the quality of the character was less eligible, 50%; and the quality of illustration was eligible, 65%. Based on the percentage of presentation and material, the book had met the eligibility. On the conclusion of the research, it is hoped that the book should a little bit revise to make the textbook more eligible and valuable. Hopefully the book can be used optimally for teaching learning process in ECE.
Initial study and statistical analyses of specialization database

This work presents a study that tracked data generated from distance education systems, and made use of these data, often neglected, to produce information and knowledge about the system itself as well as the involved people. The strategy presented go from the basic data handle on the distance education systems, using statistical applications methods, applied for data processing. The presented activities aim to improve the quality of the service offered on online courses, and also help solve some issues, for instance the student's evasion. It is also presenting a case study where statistical methods were applied to deal with the student's evasion in a real distance education system. The main goal was to start the use of learning analytics concepts.
Fraud Classification and Detection Model Using Different Machine Learning Algorithm

Recently, fraud technologies have become more advanced and easier to fraud. Therefore, different machine learning techniques have been applied and developed to recognize fraudulent credit card transactions.  The main problem to fail any detection techniques on any fraud operation is the accuracy of results. This paper discusses how to improve fraud detection performance using machine learning algorithms by choosing the most appropriate algorithm for inclusion in fraud detection systems. It also provides a comprehensive study of Taiwan's customer database and how classifiers interact with it by applying 30 different classification algorithms.  Moreover, using the WEKA tool for applying machine learning algorithms with the voting method to choose the right classification. The experimental results reveal that using the LMT algorithm will be the best one where achieved 82.0867 % accuracy.
The Study on the Influence of Appropriability, Technological Capabilities, and Networks on Technology Startups' Performance

Purpose : This paper attempts to understand the influence of appropriability of core technologies, overall technological capabilities of the firm, and network activities for the use of external resources, on entrepreneurial performance of technology startups. Research design, data, methodology : The study was verified in October and November, 2020 with 124 valid questionnaires excluding missing values in 163 surveys of founders and startup members of technology startups centered in Seoul TechnoPark clusters. Results : The analysis shows that appropriability has significant impact especially on market networks, which are links within the supply chain. It can be understood that appropriability's function of signalizing technological competence and function of coordinating technology cooperation have more profound impact on activating the network than technology protection does, which is the basic function of appropriability. Conclusions : Technology startups can improve their overall technological capabilities and achieve their entrepreneurial performance by procuring external resources and information, especially through market network activities, with their own ability to appropriate core technology assets. Therefore, in fostering technology start-up companies and born globals, it is necessary to strengthen support on various aspects of appropriability and network activities.
Proposed Model of Agriculture Big Data for Crop Disease Classification and Recommendation

This chapter introduces a recommendation system for crop disease control that will eventually support researchers and agricultural officials in decision-making based on historical data with the assistance of big data analytics. The proposed model of recommendation system is applied to agricultural crop disease classification using machine learning algorithms, using historical data accessible to spot crop disease and recommend a reasonable remedy based on symptom similarity using Naïve Bayes and support vector machine (SVM) algorithm. The experiments are done on cotton, wheat, and paddy leaf disease test reports. Comprehensive experiment results, along with the analysis of Naïve Bayes and SVM classifiers, reveal that Naïve Bayes machine learning disease classification algorithms in MapReduce programming prototype on Hadoop environment is more promising than support vector machine (SVM) from data obtained from TATA chemicals laboratory and agriculture websites.
Pelatihan pembuatan perpustakaan online berbasis EndNote program pada penulisan karya ilmiah

English Education Study Program is one of the study programs within the English Department of UNM. As one of the lecturers who taught Writing IV subject for the Semester IV students of English Department of UNM, I found that many students still have lack ability to write reference style correctly and precisely. In order to overcome this problem, it was needed a training for these students in improving their knowledge and skills in the area by using referencing software. The purpose of the training was to improve the students’ ability in making online library by using reference software called EndNote Program and be able to apply in writing references or bibliography in academic writing. The training was conducted for four weeks during May-June 2019. The methods used in this training were presentation and simulation. The assessments were conducted after the training using observation sheets. The results of the test indicated that the majority of the participants improved their ability in making online library and could use EndNote Program in writing their references.  Considering the benefits of the program and the high motivation of the participants, it is recommended that similar training should be carried out to other students in this study program.
Exploring the Potential of an Extensible Domain-Specific Web Corpus for “Layfication”

This article presents experiments based on the extensible domain-specific web corpus for “layfication”. For these experiments, both the existing layfication corpus (in Swedish and in English) and a new addition in English (the NHS-PubMed subcorpus) are used. With this extended corpus, methods to classify lay-specialized medical sublanguages cross-linguistically using small data and noisy web documents are investigated. Sublanguage is a language variety used in specific domains. Here, the authors focus on two medical sublanguages, namely the “patientspeak” (lay) and the medical jargon (specialized). Cross-lingual sublanguage classification is still largely underexplored although it can be crucial in downstream applications for digital health and cyber-physical systems. Classification models are built using small and noisy training sets in Swedish and evaluated on English test sets. The performance of Naive Bayes classifiers—built with stopwords and with Bag-of-Words—is compared with convolutional neural network classifiers leveraging on MUSE multi-lingual word embeddings. Results are promising and nuanced. These results are proposed as a first baseline for cross-lingual sublanguage classification.
Proposal for Pronunciation Education in Liberal Arts Education to Improve STT of AI

In our reality, the high expectations of users and the low satisfaction due to the technologies that do not meet them are conflicting. In this paper, we examined where the error of STT is highest at the phonological layer, the phonological fluctuation layer, and other transformation layers. Based on this, the types of high frequency errors were summarized and analyzed in terms of Korean language. As a suggestion for improving STT, some pronunciations that cause STT misrecognition are in charge of liberal arts education.
IoT Device Auto-Tagging Using Transformers

The IoT platform can identify a device matching the data only when securing the information on a large amount of IoT devices in advance. However, in a situation where a lot of companies release a variety type of IoT, it is not easy to retain information about all IoT devices. That is, it is a difficult situation where the current IoT platform has difficulty in analyzing unstandardized tagging information. Therefore, this paper provides a technique of `Tagging' that automatically identifies the device based on information collected from IoT devices or sensor devices. This technique was developed based on the natural language processing algorithm based on the attention mechanism among the machine learning models.
MDP Playground: Controlling Orthogonal Dimensions of Hardness in Toy Environments

We present MDP Playground, an efficient benchmark for Reinforcement Learning (RL) algorithms with various dimensions of hardness that can be controlled independently to challenge algorithms in different ways and to obtain varying degrees of hardness in generated environments. We consider and allow control over a wide variety of key hardness dimensions, including delayed rewards, rewardable sequences, sparsity of rewards, stochasticity, image representations, irrelevant features, time unit, and action max. While it is very time consuming to run RL algorithms on standard benchmarks, we define a parameterised collection of fast-to-run toy benchmarks in OpenAI Gym by varying these dimensions. Despite their toy nature and low compute requirements, we show that these benchmarks present substantial challenges to current RL algorithms. Furthermore, since we can generate environments with a desired value for each of the dimensions, in addition to having fine-grained control over the environments' hardness, we also have the ground truth available for evaluating algorithms. Finally, we evaluate the kinds of transfer for these dimensions that may be expected from our benchmarks to more complex benchmarks. We believe that MDP Playground is a valuable testbed for researchers designing new, adaptive and intelligent RL algorithms and those wanting to unit test their algorithms.
Improving Australian Students' Cognitive Critical Literacy through E-Bipa Based on Android

One of the potentials of internet usage is the vast availability of information, especially when social mediahas been widely used among the digital society, including students. Students are able to acquireinformation easily and respond and give comment to information directly. However, this ease of accessto information leads to an issue where the validity of information becomes uncertain. This will create abigger problem if students are not taught literacy. Bahasa Indonesia has now become the languagefavoured by foreign society. BIPA Program (Bahasa Indonesia untuk Penutur Asing) or equals to BahasaIndonesia Foreign Speaker is the government’s program to provide an opportunity to socialise BahasaIndonesia to every corner of the world. Literacy in Bahasa Indonesia of foreign society has become themission of BIPA. Yet, learning activities like reading to merely answer questions is only to discover what isexplicitly delivered in the text without revealing the implicit meaning by exploring the text. Based on thiscondition, the students who are projected to be BIPA participants other than mastering the knowledgeand structure of Bahasa Indonesia, should also understand and have the skill of critical literacy throughandroid-based learning media during BIPA learning activities that is developed using Adobe Flash CS 6.This research development adopted ADDIE model to develop android-based learning media throughoutBIPA learning activity. The stages of ADDIE consist of Analysis, Design, Development, Implementation, andEvaluation. Android-based media that was developed through this research has undergone the processand staged according to the research development model implemented. As a conclusion the contentmaterial is very feasible, the media is viable and E-BIPA teaching media is effective in improving 75% thelearning result and receives a response from the teachers and students. E-BIPA teaching media is able tohelp BIPA tutors in teaching Bahasa Indonesia to their students.
Cyber Risk: Insuring the Digital Age: Updating the US Cases

An earlier paper, 'Cyber Risk: Insuring the Digital Age' (2015) was written with the aim of addressing the gap in writing on English law relating to the insurance of cyber risks. The part of that paper concerned with English law has been superseded by more comprehensive studies. This paper is, therefore, concerned only to update the discussion of the US cases. While differences between US and English insurance law and practice mean it cannot be assumed that English judges would reach the same conclusions, the US cases provide useful insights into the issues and how they may be addressed.
Observability quantification for linear stochastic system and its application in state estimation

This paper presents a method for quantitatively evaluating the observability of linear stochastic systems and pre-evaluating the accuracy of state estimations. In this method, according to the relation among the current state vector, measurement sequence and noise sequence, the observability degree for the state variables of linear stochastic systems is defined. And it is further proved that, the proposed observability degree can be used to examine the existence of unbiased estimated states and measure the estimation error lower bound. In addition, the necessary and sufficient condition for the state variable to be observable is also given according to the proposed observability degree. Finally, a numerical simulation example on target tracking problem is presented to validate the efficiency of the proposed observability degree.
PENINGKATAN MANAJEMEN SISTEM INFORMASI DAN UJI KOMPETENSI MAHASISWA MELALUI RANCANG BANGUN SISTEM INFORMASI DAN UJI KOMPETENSI LSP POLMED

This study makes information management and online registration of student competency tests through the design of Polmed Siukom. The target of this research is the availability of an information system and online registration of the Medan State Polytechnic Student Competency Test, abbreviated as the Siukom Police, which can be used as a service facility for information activities and a competency test data base as well as an online registration process. Student competency tests are conducted by the Medan State Polytechnic academic community. This research activity involved several related units within the Medan State Polytechnic, namely the Professional Certification Institute (LSP), the Medan State Polytechnic Information System Center (PSI), the Leadership Element consisting of the Director, Deputy Director I, Deputy Director II, and Deputy Director IV. The fundamental contribution of this research is the formation of public service management for the Medan State Polytechnic academic community in the field of website-based Student Competency Test which will be used as a means of community service. This research uses descriptive analytical method, with a qualitative approach to obtain information and collect the required data
Formalization of Interstate Traffic Rules in Temporal Logic.

To allow autonomous vehicles to safely participate in traffic and to avoid liability claims for car manufacturers, autonomous vehicles must obey traffic rules. However, current traffic rules are not formulated in a precise and mathematical way, so that they cannot be directly applied to autonomous vehicles. Additionally, several legal sources other than national traffic laws must be considered to infer detailed traffic rules. Thus, we formalize traffic rules for interstates based on the German Road Traffic Regulation, the Vienna Convention on Road Traffic, and legal decisions from courts. This makes it possible to automatically and unambiguously check whether traffic rules are being met by autonomous vehicles. Temporal logic is used to express the obtained rules mathematically. Our formalized traffic rules are evaluated for recorded data on more than 2,500 vehicles.