Reviewerly/exHarmony huggingface dataset:
Algortihm C4.5 in mapping the admission patterns of new Students in Engingeering Computer

University of Harapan Medan is one of the private universities in North Sumatra which has computer-based study programs such as Informatics Engineering and Information Systems. Every year this college receives many registrations from students who have completed their education at the school stage. The large number of incoming student data makes it difficult for the admin to select new students who will register. In this study using the C4.5 algorithm data mining method to map the pattern of student admissions selection in the field of Engineering and computers. The attributes used are the average value of report cards (high, enough, low), basic academic ability tests (very high, high, medium, low, very low), basic computer knowledge tests (very high, high, enough, low, very low) and interviews (good, bad). Data mining is a mathematical calculation process that uses algorithms and requires large data. While the C4.5 algorithm is an algorithm that processes data by calculating entrophy and information gain, where after the calculation process is carried out, those who get the largest information gain value will become nodes and branches. This C4.5 algorithm will describe a decision tree that will form a pattern in student selection. The results of this study indicate that in mapping the selection pattern of interview attributes into level 1 nodes, the attributes of the basic computer knowledge test become the level 1 branch, the attributes of the basic academic ability test become the level 2 branch and the attribute average value of report cards becomes the level 3 branch.
Combining Logic and Natural Language Processing to Support Investment Management

This paper presents an application that we developed to assist users with the creation of an investment profile for the selection of financial assets. It consists of a natural language interface, an automatic translation to a declarative FO(.) knowledge base, and the IDP reasoning engine with multiple forms of logical inference. The application speeds up the investment profile creation process, and reduces the considerable inherent operational risk linked to the creation of investment profiles
RuSimScore: unsupervised scoring function for Russian sentence simplification quality

We propose an unsupervised complex scoring function (RuSimScore) to measure simplification quality of Russian sentences, and a model for text simplification based on this function.The function allows to score simplicity and original meaning preservation.First, filtered a noisy parallel corpus (machine translated WikiLarge) and extracted good simplification examples.After that, a pretrained language model was fine-tuned on these examples.We generate multiple outputs from the language model and select the best one according to the scoring function.The weights in the scoring function can be adjusted to balance between better content preservation and getting simpler sentences (controllable simplification).
Formation of future teachers' meta-competence as a base to develop their potential readiness for continuing education

The purpose of the study is to identify the features of the relationship between the potential readiness of future teachers for lifelong education and the level of development of meta-competence and to develop recommendations on this basis for creating conditions in the university for the development of students' meta-cognitive abilities. Research methods and materials. The study involved 748 students enrolled in teacher education programs. Studied: the level of formation of future teachers of psychological, strategic and competence-based readiness for lifelong education (questionnaire survey); the level of development of their worldview ("Methodology of worldview activity" by D.A. Leontyev, A.N. Ilchenko), intellectual ("Mental performance and the type of intelligence" by B.N. Ryzhov), cognitive ("Methodology for assessing the systemic nature of thinking" I.A. Sychev) and operational-procedural (methods for identifying the level of formation of mental operations (methods for identifying the ability to analyze, compare, generalize and classify) components of metacompetence. Comparative (chi-square test, Student's t-test) and correlation (Spearman's correlation coefficient ) analyzes. Results. A close relationship was revealed between the indicators of the potential readiness of future teachers for lifelong pedagogical education and individual components of metacompetence, characteristics of students' worldview, their intelligence and cognitive abilities. Conclusion. The results of the study suggest that the formation of future teachers' readiness for lifelong education should be based not only and not so much on stimulating their motivational activity, but also on creating conditions for the development of their worldview, intelligence, systemic, creative thinking and general cognitive abilities.
OUR EXPERIENCE TO DISCOVER THE ESSENCE OF PEDAGOGICAL FACILITATION

Today, the changes of the education system conditioned by the new strategy of education are aimed not only at the modernization of the content and methodological tools of education but also at the reconstruction of the whole characteristic /structure/ of the subject implementing those changes. In this article, we have tried to present pedagogical facilitation in the context of modern education, the requirements for a pedagogue who has mastered the technology of facilitation, the content of the pedagogue-facilitator activity, and the research carried out in two stages reveals how the image of the facilitator-teacher is perceived in the students' consciousness. The quantitative and qualitative features of the facilitator-pedagogues were given.
EFL Students’ Strategy in Reading English Text in Perspective Automatic Information Processing (AIP)

Currently, students are asked to be able to understand literacy in reading. However, to understand literacy, of course, it has to go through the right strategy especially to beginner reader students. The purpose of this study is to determine the strategy of students in reading English text through perspective from automatic information processing (AIP) in reading. The method for this study used interviews and observations of one participant conducted in the second-level high school. This study also uses descriptive case study as research design. This study shows 5 things that should be reviewed in reading English text, namely attention, decoding, comprehension, switching in reading and automaticity. However, the five things found in this study are still rarely noticed. Therefore, this study also aims to allow educators and students to know what steps to do as a strategy to be able to read and understand the text of reading in English especially for beginner reader.
Selection of the operating frequency of the hydroacoustic system for reducing the underwater vehicle to the door module and proposals for the choice of its structure

The proposed work is a continuation (the second part) of the overall work on the development of the structure of the hydroacoustic navigation system (HNST) for bringing the autonomous underwater vehicle (AUV) to the docking module (DM). The first part was published in the previous issue of the magazine. The purpose of this is to develop and study a prototype of the equipment for a short-range high-frequency HNST to ensure the docking of AUV with a carrier. The expediency of constructing the equipment of a high-frequency hydroacoustic system for bringing the AUV to DM in the form of a combined information and navigation system combined on the basis has been substantiated. It can use hydroacoustic navigation systems with short and ultrashort antenna bases; it is proposed to use data signals as navigation signals, which are exchanged between the docking module and the autonomous underwater vehicle based on the results of measuring the mutual navigation characteristics. It is recommended to select the operating frequency in the lower part of the allocated frequency range 100 –: 200 kHz. It should be considered that the accuracy of determining the position of the AUV in the process of alignment can be a variable value: with an increase in the distance to the DM, the errors in estimating the spatial coordinates of the AUV can increase without compromising the functionality of the alignment system. Therefore, in order to select a scenario for the movement of the AUV in the process of alignment, it would be desirable to know the dependence of the errors in estimating its spatial coordinates, admissible when con-trolling the movement of the AUV, on the distance to the DM. In the absence of the indicated dependence, it is possible to take advantage of the somewhat overestimated requirements for the targeting zone for the estimation of the navigation characteristics of the targeting HNST. Then the alignment strategy can be reduced to the choice of the AUV motion scenario, which provides the maximum required accuracy of the estimation of its spatial coordinates in the entire alignment zone. A variant of building an HNST, consisting of unified basic sets of a docking module (BS – DM) and an underwater vehicle (BS - AUV), has been proposed. The basic set of the (BS – AUV) underwater vehicle is similar in structure and function to the basic set of the docking module. Its difference from the (BS-DM) is in the presence of a control unit for the underwater vehicle (CUV), through which signals are exchanged between the (BS - AUV) and the AUV autopilot.
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation

The use of the heat kernel on graphs has recently given rise to a family of so-called Diffusion-Wasserstein distances which resort to Optimal Transport theory for comparing attributed graphs. In this paper, we address the open problem of optimizing the diffusion time used in these distances. Inspired from the notion of triplet-based constraints, we design a loss function that aims at bringing two graphs closer together while keeping an impostor away. After a thorough analysis of the properties of this function, we show on synthetic data that the resulting Diffusion-Wasserstein distances outperforms the Gromov and Fused-Gromov Wasserstein distances on unsupervised graph domain adaptation tasks.
Assessment of Education Quality Assurance Conditions During Public Accreditation of Educational Organization

The article proposes to evaluate the conditions of educational activities, which ensure the quality of education, during public accreditation of an educational organization. The approach is based on the use of the mechanism of external independent evaluation, conducted by a public organization, to determine the level of an educational organization in order to promote consistent improvement in the quality of the processes of providing and implementing educational activities. A number of indicators that can be expressed quantitatively are proposed. The work of the educational organization to ensure the quality of education in this case can be evaluated on the basis of the proposed indicators.
Unsupervised Natural Language Inference Using PHL Triplet Generation

Transformer-based models achieve impressive performance on numerous Natural Language Inference (NLI) benchmarks when trained on respective training datasets.However, in certain cases, training samples may not be available or collecting them could be timeconsuming and resource-intensive.In this work, we address the above challenge and present an explorative study on unsupervised NLI, a paradigm in which no human-annotated training samples are available.We investigate it under three settings: PH, P, and NPH that differ in the extent of unlabeled data available for learning.As a solution, we propose a procedural data generation approach that leverages a set of sentence transformations to collect PHL (Premise, Hypothesis, Label) triplets for training NLI models, bypassing the need for humanannotated training data.Comprehensive experiments with several NLI datasets show that the proposed approach results in accuracies of up to 66.75%, 65.9%, 65.39% in PH, P, and NPH settings respectively, outperforming all existing unsupervised baselines.Furthermore, finetuning our model with as little as ∼0.1% of the human-annotated training dataset (500 instances) leads to 12.2% higher accuracy than the model trained from scratch on the same 500 instances.Supported by this superior performance, we conclude with a recommendation for collecting high-quality task-specific data.
Canonical representation of three-qubit states with real amplitudes

From the Schmidt representation we have that, up to local gates, every 2-qubit state can be written as $[\phi\rangle=\lambda_1 [00\rangle+\lambda_2 [11\rangle$ with $\lambda_1$ and $\lambda_2$ real numbers. For 3-qubits states, it is known, PRL 2000 85, that up to local gates every 3-qubit state can be written as $[\phi\rangle=\lambda_1 [000\rangle+\lambda_2 e^{i \theta }[100\rangle+\lambda_3[101\rangle+\lambda_4[110\rangle+\lambda_5[111\rangle$ with $\lambda_i\ge0$ and $0\le \theta \le \pi$. In this paper, we show that no every 3-qubit state with real amplitudes can be transform in the form $[\phi\rangle=\lambda_1 [000\rangle+\lambda_2 [100\rangle+\lambda_3[101\rangle+\lambda_4[110\rangle+\lambda_5[111\rangle$ by using local gates in the orthogonal group (the group generated by $R_y(\theta)$ and $X$ gates). We also show that, up to local gates in the orthogonal group, every 3-qubit with real amplitudes can be written as $[\phi\rangle=\lambda_1 [000\rangle+\lambda_2 [011\rangle+\lambda_3[101\rangle+\lambda_4[110\rangle+\lambda_5[111\rangle$ with the $\lambda_i$ real numbers. An explanation of this result can be found in the youtube video \url{https://youtu.be/gDN20QHzsoQ}
An Analysis of Students’ Spelling Errors in Writing at the 8th grade of SMPN 2 Kamang Magek

The aim of the research was to find out students’ spelling errors and the causes of spelling errors in writing. Writing spelling correctly is important in order to not make misunderstanding for the reader and writer. In field, researcher found some problem at related to students’ spelling errors. Most of students were not interested when they wrote spell correctly. Then, most of students were doubt in the letter that have same sound. The last was most of students often wrote Indonesian spelling in writing English that have similiar sound. The purposes of this research based on three research questions were to find out the kinds of error in spelling, the most common spelling error, and the causes of spelling error were made by students in writing.&#x0D; In this research, the researcher used mix method research by using descriptive design. The mix method was the combination of qualitative research and quantitative research. Quantitative research was used to answer the kind of students’ spelling error in writing and most common of error in writing. Qualitative research was used to know the causes of students’ spelling error in writing. The informants of this research was the students of VIII-1 class in SMP N 2 Kamang Magek. The total was 22 students. The data was got through documentation and interview. Documentation was used to get quantitative data and interview was used to get qualitative data. The researcher asked the students’ writing to the teacher as a documentation. The interview was done directly and indirectly because of the pandemi.&#x0D; The result of the research showed that there were 184 spelling errors from 22 students. There were nine kinds of spelling error such as omission of letter, addition of letter, single letter instead of double letter, double letter instead of single letter, substitution of letter, interchange of two adjacent of letter, involving an apostrophe, multiple error. Therefore, the most common spelling error was substitution of letter which students changed letter incorrectly with 35,3% percentage. Moreover, there were some reasons why the students of SMP N 2 Kamang Magek made spelling error. The first was the difficulties between spoken and written form in English, it made students were not able to remember the spelling. Second was most of students were influenced by students’ first language when they wrote spelling. The last was lack of students’ desire to write correct spelling.
The Typology and Semantic Functions of Reporting Verbs in Online editorials of Philippine newspapers

The purpose of this study is to examine and determine the typology and the semantic functions of the reporting verbs used in the editorial sections of five Philippine online newspapers. Quantitative analysis was assumed in procuring the frequency counts and percentages of the data to be analyzed while qualitative analysis was applied in analyzing and categorizing the typology and semantic characteristics of the reporting verbs. The corpus of the study involved online editorial sections of five Philippine newspapers. Reporting verbs were highlighted or marked each time they appeared in every reporting sentence from the online editorials. Manual tallying was employed in obtaining the frequencies. Afterwards, the reporting verbs underwent examination and categorization for its typology and semantic characteristics. Findings show that the reporting verbs discovered from the online editorial sections were divided into five semantic categories. These categories were as follows: communication verbs, mental verbs, activity verbs, causative verbs, and verbs of aspect. Also, most of the reporting verbs found were from the communication category. As regards the typology, results show that all online editorial sections from the five Philippine online newspapers employed and examined used a significant deal of reporting verbs which were considered as public in reporting information.
Linguistic Creativity and Genre Characteristics in the Media Discourse

Changes in communication have been fueled by the evolution of the internet as a platform for interaction as well as by other technological advancements. Thus, the aim of the present study is to analyze the media discourse used within different genres in the online context. The hypothesis I started from is that depending on the author’s assumptions regarding the audience, there will be differences at various levels between genres (such as the stylistic level, the microstructure and macrostructure levels, and the morphological and syntactical levels). The analysis conducted might help researchers gain new perspectives on the changes that are taking place in the field of communication in the media.
PENERAPAN MODEL STUDENT FACILITATOR AND EXPLAINING (SFAE) UNTUK MENINGKATKAN PRESTASI BELAJAR (Studi Pada Mata Pelajaran Ekonomi Siswa kelas X di SMA Negeri 1 Pagaralam)

Objectives of this study are to: (1improve student achievement by applying thelearning model Student Facilitator and Explaining (SFAE). (2) Increase the effectiveness of student learning outcomes by applying the Student Facilitator and Explaining (SFAE)model learningin Economics learning at SMA Negeri 1 Pagar Alam. In this study, classroom action research (CAR) was used with three cycles and experiments. The research subjects were students of class X IPS SMA Negeri 1 Pagar Alam. The data collection techniques used in the study were the observation sheets and student test results. The data analysis usedmeanand t-test. The conclusions of this research are; (1The application of themodel Student Facilitator and Explaining can improve student achievement based on the results (research on high school students Negeri 1 Pagar Alam in Economics). (2) The application of themodel is Student Facilitator and Explaining effectively used to improve student achievement (research on students of SMA Negeri 1 Pagar Alam in Economics).
The Impact of Multisensory Method on Students’ Memorizing Vocabulary at Halimah Kindergarten Prenduan Sumenep

Young learners were aged 5-6 have a golden age to master a new language since they have good memorization in their brains. It is similar to the phenomenon at Halimah Kindergarten Prenduan Sumenep. 11 students had mastered their first language (Indonesian) 8 of 11 students among them cannot answer the teacher's question about English vocabulary of profession after the teacher taught learning vocabulary in the classroom. Additionally, the students are still difficult to answer the questions. Ultimately, this research measures whether kindergartens students learning vocabulary with the Multisensory Method have better-memorizing vocabulary and the significant impact of the Multisensory Method after treatment. The researcher conducted research using a quantitative approach with consist pre-experimental design. The data was obtained by observing pre-test and post-test. Likewise, documentation was used to legitimize the data. The data result found that learning vocabulary for the young learner is easier to understand if the teacher applies a multisensory method (t value: 5.164) which is higher than t table 2.23. Hence, the multisensory method is an excellent method to be applied for kindergarten in the classroom.
Improvement of Verbal Linguistic Intelligences in Children Aged 5-6 Years Using Magneticeria Puzzle Learning Media at PAUD Karya Galang, Bengkulu City

The purpose of this study was to determine the increase in children's verbal linguistic intelligence using magneticeria puzzle learning media in PAUD Karya Galang Kota Bengkulu. This research is a classroom action (PTK) conducted in three cycles. The results of the research from the data obtained showed that the children's language skills in each cycle experienced development. This can be seen from the average score in the Pre-Cycle with completeness of classical learning of 21,44% very low criteria. In Cycle I, with classical learning completeness of 42,81% moderate criteria. In Cycle II, with completeness of classical learning at 64,92% high criteria. Last in Cycle III 91.66%, the criteria were very high. This shows that the action taken using magneticeria puzzle learning media can improve verbal linguistic intelligence (verbal linguistic intelligence) of children in PAUD Karya Galang, Bengkulu City.
Developing Smart Web-Search using Regex

Due to the increasing storage data on the Web Applications it becomes very difficult to use only keywordbased searches to provide comprehensive search results, thus increasing the difficulty for web users to search information on the web. In this paper, we proposed using a combined method of keyword-based and Regular expressions (RegEx) searches to perform search using strings of targeted items for optimal results even as the volume of data around the world on the Internet continues to explode. The idea is to embed RegEx patterns as part of search engine’s algorithm in a web application project to provide strings related to the targeted items for more comprehensive coverage of search results. The user's search query is a string of characters guided by search boundaries selected from the entry point. The results returned from the search operation are different results within a category determined by the search boundaries. This is designed to be beneficial to a user who has an obscure idea about the information he/she wanted to search but knows the boundries within which to get the information. This technique can be applied to data processing tasks such as information extraction and search refinements.