Reviewerly/exHarmony huggingface dataset:
Problems faced by non-English department students of Nahdlatul Ulama University of Blitar in learning English

English is not only considered as obligation course but also it is now a need course. Therefore all university students including non-English department must have English course to prepare themselves facing globalization and industrial era. As the result, it is salient to know what problems they are facing in learning English. So the lecturers are expected to be able to improve their ability in achieving the goals in learning English. This study is aimed to investigate what kinds of problem faced by non-English department students in learning English. This study belongs to descriptive quantitative research method. The data were gained by observing and giving questionnaire to the non-English department students. The result shows that non-English department students mostly find difficulties in almost English skills such as speaking, reading, writing, and listening. Therefore it is needed more efforts for lecturers to teach non-English department students well by selecting the appropriate teaching methods.
The use of Chinese adverbs 又 (yòu) and 再(zài) by Indonesian students: error analysis

This study aims to obtain data and analysis of errors in the use of adverbial words 又 (yòu) and 再(zài) in Chinese Language Education Study Program students and the factors that influence Chinese learners' errors in the use of structures. The adverbial words 又 (yòu) and 再(zài)in the Chinese Language have their structure in use. It is very important to learn and understand. Chinese language learners often make mistakes in using these two words. This study uses a qualitative approach with data sources from the results of student tests and secondary data from open questionnaires. From the data, the percentage of errors in the use of the adverbial (yòu) was 32.49% and the use of the adverbial (zài) was 29.49%. And from the results of making sentences, it was found that the forms of errors were, the use of 又 (yòu) in sentences, the use of 再 (zài) in sentences, sentence structure, use of vocabulary, and sentence logical meaning, with a total of 25 errors.
Addie model course design for the creative industry department

As one of the general requirement subjects in universities in Indonesia, English is taught in all of the departments in the university. If the English class is not managed carefully, students may become unmotivated in taking the class since it may have little or no relation to the actual subject that they are taking at the university. Therefore, it is necessary to design an English course that can engage the student's interests and suit students’ needs. This research aimed to develop a course that is most suitable for the students in Creative Industry Department. In doing so, this research used a research and development procedure called the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model to develop the course and the materials. The process began with the needs analysis of the lecturers and the head of the Creative Industry Department, followed by the design of the course materials. Then, the course was implemented for the whole semester, and the cycle of the process ended with distributing questionnaires to the students who participated in the course. The result showed that the course could meet the target set by the head of the department, which was to increase students’ confidence in using English.
The conclusion sections in applied linguistics international journal articles written by Indonesian authors

This research attempts to describe the rhetorical structures of Indonesian author's in the conclusion section of applied linguistics international journals articles. The method employed in this study is descriptive quantitative. Thirty RA conclusion sections were extracted from two international journals; the Indonesian Journal of Applied Linguistics (IJAL) and TEFLIN journal, and examined based on the rhetorical move following Yang &amp; Allison's proposed model of conclusion section (2003). The result revealed that, first, the majority of RA Conclusion sections (22 [73%] out of 30 conclusion sections) contain all elements of the Conclusion sections outlined by Yang and Allison (2003), namely: obligatory; move 1 (summarizing the study), the conventional moves; move 2 (Evaluating the study) and move 3 (deduction from the research); second, concerning steps features, most Indonesian authors tend to use step 1 in realizing move 2 (evaluating the study) This implies that those authors tend to justify their study by indicating the result of the research in evaluating the study in the conclusion section rather than stating the limitation of the research or evaluating the methodology in the conclusion section. In move 3, the Indonesian author tends to use step 1 (recommending future research) in realizing this move. This implies that the author prefers to state the possible areas for future study of study rather than drawing pedagogic implications. In conclusion, most Indonesian authors fulfilled the rhetorical structure of yang and Allison proposed model in their conclusion section.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE TEAMS GAMES TOURNAMENT (TGT) UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SDN 040 PASAWAHAN PADA MATERI SUMBER DAYA ALAM

Static and monotonous learning is one of the obstacles and obstacles that arise in every learning process. The mistake in choosing a learning model that is suitable for the characteristics of students in a learning place is also an obstacle in the learning process. This study aims to determine and improve the learning outcomes of class IV students at SDN 040 Pasawahan on natural resources material. The type of research used is Classroom Action Research (CAR). The subjects of this study were 30 grade IV students at Public Alementary Cchool 040 Pasawahan. This study began with a pre test with the aim of knowing students' initial abilities before carrying out class action. The results of the pre-test evaluation showed that only 10 (33.33%) students had completed or fulfilled the school's Minimum Completeness Criteria with an average score of 65. Meanwhile, 20 (66.67%) students had not yet completed with an average score of 48, and class average value of 55.45. Furthermore, the researchers took action in cycle I. The results of the evaluation in cycle I were 22 (73.33%) students who succeeded in achieving the Minimum Completeness Criteria score with an average class score of 70, and 8 students (26.67%) had not achieved the Minimum Completeness Criteria score. with an average grade of 56, and an average grade of 70. Thus, class IV students at Public Alementary Cchool 040 Pasawahan have achieved mastery learning with an average grade of 70. In cycle II there were 28 (93.33%) students who succeeded reached the Minimum Completeness Criteria score with an average class score of 80, and 2 students (6.67%) had not reached the Minimum Completeness Criteria score. Thus the researcher did no longer take action in cycle III.
Intuitionistic fuzzy interpretations of formula (A → B) → ((¬A → B) → B)

One of the essential formulas of the classical mathematical logic is (A → B) → ((¬A → B) → B). In the present paper, its intuitionistic fuzzy interpretation is introduced, and lists of all defined intuitionistic fuzzy implications that satisfy it as a tautology and an intuitionistic fuzzy tautology are given.
Viral Marketing and its Contribution to Brand Promotion in the Telecom Sector an Analytical Study of the Opinions of A Sample of Customers in the Asia Cell Mobile Communications Company in Iraq/Mosul City

The research aims to diagnose the role that viral marketing plays in the researched company and its contribution to brand promotion, The Asiacell Mobile Communications Company in Iraq/Mosul city was chosen as a field for research, and for the purpose of achieving the goal and answering the questions of the intellectual problem of the research, the most important of which was ( How effective is viral marketing in building a brand's mental standing in the marketplace ?)The sample was chosen from the clients of Asia Cell in the city of Mosul, and it amounted to (168), and statistical methods were used, including the descriptive approach, in analyzing the data and extracting the results using statistical programs(AMOS24, SPSS V26) The research reached a set of conclusions, the most important of which is the company in question adopts viral marketing in its activities in a limited way, which is reflected in the process of attracting customers and attracting them to acquire its services compared to competitors The existence of a significant correlation relationship between viral marketing, as well as a significant impact relationship between viral marketing and the brand, and the most important proposals were stressing the need for the researched company in particular, and the corresponding companies in general to adopt viral marketing to enhance their brand and achieve profits and competitive advantage .
Customer Experience is an Entry Point for Achieving Marketing Success: an Exploratory Study in a Number of Private Banks in the Governorate of Dohuk

The current research aims to identify the role of customer experience in its dimensions (interaction with service, emotional experience, social experience, service experience, physical environment) in achieving marketing success.The organization's services and interaction with them and building strong relationships with customers contribute to achieving the goals of the organization, as well as the study addressing the issue of marketing success as a long-term plan that works to provide a set of innovative services through which it can achieve success, continuity and stay in the market as a reliable variable, and from this point of view The study problem was identified by several questions, as follows: 1-Do the respondents have a clear perception of the customer experience?2-Do the respondents have a clear vision of marketing success?3-Is there a significant correlation between the customer experience and the marketing success of the surveyed banks?4-Does the customer's experience have a significant effect on the marketing success of the surveyed banks?The questionnaire form was distributed to a sample of workers in several (civil banks) in the city of Dohuk, and ( 109) forms were distributed to some workers in (civil banks), and some hypotheses were tested with the correlation and influence between the research variables using many methods.Statistically, based on the Spss program, many conclusions were reached, the most important of which is the existence of a significant correlation between the research variables and in the light of which some proposals were presented, the most important of which is the need to realize the dimensions of the customer experience, absorb and enhance them, and then harness them to serve the researched organizations to achieve marketing success.
The Effectiveness of Click and Clunk Strategy on the Students’ Reading Achievement

The goal of this study is to determine how well the Click &amp; Clunk approach works in improving students' reading comprehension. In this study, non-randomized pretests and posttests were used in a quasi-experimental setting utilizing quantitative methodologies. Students from SMPN 1 Kanigoro served as the study's subjects, with Class 7H serving as the control group and Class 7I serving as the experimental group. Reading assessments served as the research's tools (pretest and posttest). The control group class, on the other hand, was taught using the KWL method. The experimental group class was taught utilizing the Click &amp; Clunk method. A posttest was then provided to both groups. The data was generated by SPSS Version 20 and then analyzed using ANCOVA. The analysis's findings suggested that the Click and Clunk Strategy could raise children' reading proficiency.
Swedish MuClaGED: A new dataset for Grammatical Error Detection in Swedish

This paper introduces the Swedish Mu-ClaGED dataset, a new dataset specifically built for the task of Multi-Class Grammatical Error Detection (GED). The dataset has been produced as a part of the multilingual Computational SLA shared task initiative. In this paper we elaborate on the generation process and the design choices made to obtain Swedish MuClaGED. We also show initial baseline results for the performance on the dataset in a task of Grammatical Error Detection and Classification on the sentence level, which have been obtained through (Bi)LSTM ((Bidirectional) Long-Short Term Memory) methods.
Evaluating Automatic Spelling Correction Tools on German Primary School Children’s Misspellings

Most existing spellcheckers have been developed for adults and it is yet understudied how well children’s texts can be automatically spellchecked, e.g. to build tools that assist them in spelling acquisition. This paper presents a detailed evaluation of six tools for automatic spelling correction on texts produced by German primary school children between grades 2 and 4. We find that popular off-the-shelf tools only achieve a correction accuracy of up to 46% even when local word context is taken into account. For many misspellings, the desired correction is not even among the suggested candidates. A noisy-channel model that we trained on similar errors, in contrast, achieves a correction accuracy of up to 69%. Further analyses show that this approach is very successful at candidate generation and that a better re-ranking of correction candidates could lead to a correction accuracy of ~90 %. Most of the remaining misspellings are so distorted that they are hard to correct without broader context. Furthermore, we analyze how the tools perform at different grade levels and for misspellings with different edit distances.
Comparing Native and Learner Englishes Using a Large Pre-trained Language Model

The use of lexical items by L2 speakers of English has been analyzed through a variety of methods; however, they are either (i) infeasible for a large-scale learner corpus study or (ii) designed to measure vocabulary breadth, rather than depth. This paper presents the preliminary results of an ongoing work to utilize contextualized word embeddings (CWEs) obtained from a large pre-trained language model to measure the depth of L2 speakers’ vocabulary knowledge, operationalized as how similar L2 speakers’ use of a given word is to that of L1 speakers’. We find that (i) the mean distance between L1 CWEs and L2 CWEs of a given word tends to decrease as the proficiency level becomes higher, and that (ii) while words that have similar CWEs in the L1 corpus and L2 corpus tend to reveal interesting properties about the word use, words that have dissimilar CWEs in the two corpora often suffer from domain effects.
Metadata Formats for Learner Corpora: Case Study and Discussion

Metadata provides important information relevant both to finding and understanding corpus data. Meaningful linguistic data requires both reasonable annotations and documentation of these annotations. This documentation is part of the metadata of a dataset. While corpus documentation has often been provided in the form of accompanying publications, machinereadable metadata, both containing the bibliographic information and documenting the corpus data, has many advantages. Metadata standards allow for the development of common tools and interfaces. In this paper I want to add a new perspective from an archive’s point of view and look at the metadata provided for four learner corpora and discuss the suitability of established standards for machine-readable metadata. I am are aware that there is ongoing work towards metadata standards for learner corpora. However, I would like to keep the discussion going and add another point of view: increasing findability and reusability of learner corpora in an archiving context.
Interactive Word Sense Disambiguation in Foreign Language Learning

“Word sense awareness” is a feature which is not yet implemented in most corpus query tools, Intelligent Computer-Assisted Language Learning (ICALL) environments or computer-readable didactic resources such as graded word lists (Alfter and Graën, 2019; Pilán et al., 2016; Tack et al., 2018). The present paper aims to contribute to filling this lacuna by presenting a word sense disambiguation (WSD) method for ICALL purposes. The method, which is targeted at Spanish as a foreign language (SFL), takes a few prototypical example sentences as input, converts these sentences into “sense vectors”, and integrates part of the training data collection process into interactive vocabulary exercises. The evaluation of the method is based on a selection of 50 ambiguous items related to the domain of economics and compares different types of input data. With a top weighted F1 score of 0.8836, the present study shows that the currently available NLP tools, resources and methods provide all the necessary building blocks for developing a WSD method which can be integrated into interactive ICALL environments.
A Review of the Convergence Between Explainable Artificial Intelligence and Multi-Objective Optimization

&lt;p&gt;Explainable artificial intelligence (XAI) is a new recent area that encompasses techniques attempting to better explain to humans how a given trained machine learning (ML) model work ensuring they can trust, understand and appropriately manage the model. On the other hand, multi-objective optimization (MOO) includes a series of algorithms that attempt to minimize or maximize, at the same time, two or more discordant objectives. One of XAI's current challenges is balancing accuracy and human interpretability -- a tradeoff of two conflicting goals. Therefore, the adoption of MOO techniques within XAI might be suitable. Surprisingly, there is a minimal amount of literature available addressing both areas. This document proposes a systematic literature review to identify the primary research in both fields.&lt;/p&gt;
Novel Hardware Accelerated Magnetic Field Calculation Approach for Circular Coils With Rectangular Cross Section

&lt;p&gt;In this paper, we present a performance-oriented approach for calculating magnetostatic fields produced by circular coils. Those include the magnetic vector potential, magnetic flux density and magnetic field gradient, together addressed as fields.&lt;/p&gt; &lt;p&gt;Many inductive elements used in a wide range of applications can be modeled as circular coils with a rectangular cross-section, and this is reflected in the number of papers on the subject. Instead of extensively utilising analytic methods, we focused on achieving maximum performance by efficiently implementing the Gauss-Legendre quadrature and applying it to expressions which are simple with respect to computational intensity. To properly leverage this, we implemented our approach in the C++ programming language. The CUDA framework enabled us to utilise the full power of Nvidia graphics cards, especially when multiple coils are present. Our approach can also be used from Python and MATLAB with a small performance penalty.&lt;/p&gt; &lt;p&gt;Performance of field compute methods is primarily expressed in the number of field values calculated every second. Processor performance was tested on multiple systems and exceeded one million points per second on all of them. Graphics card performance is particularly noteworthy, with over 5 million magnetic flux density values computed every second for a system of 100 coils, placing effective performance at more than 500 million points per second on a contemporary laptop graphics card.&lt;/p&gt; &lt;p&gt;The meticulous implementation, available on GitHub, and unique performance are the highlights of our work.&lt;/p&gt;
PENERAPAN MEDIA LITERASI DARING BERBASIS KEARIFAN LOKAL BLITAR (SI CETAR) UNTUK KEGIATAN LITERASI DI UPT SD NEGERI KALIPUCUNG 02

The purpose of this study is to describe the application of Blitar local wisdom-based online literacy media and to explain the responses of Kalipucung 02 Public Elementary School students to Blitar local wisdom-based online literacy media. This research uses qualitative and quantitative approaches. This type of research is descriptive research. The results of this study were (1) the Si Cetar media was applied for two days in accordance with the goals of GLS in SD, namely instilling an interest in and fond of reading and (2) the results of students' responses to Si Cetar media were included in the very satisfactory category.
Factors that lead to increased Burnout in digital entrepreneurs

Goal: The objective of this work is to highlight the factors that lead to the increase of Burnout in digital entrepreneurs. Design / Methodology / Approach: This is an exploratory research, developed through a systematic review of the literature. Results: It is expected to find, analyze in detail and select articles to help understand the factors that contribute to the increase in Burnout in digital entrepreneurs. Limitations of the investigation: The topic of this article is new to academia. Therefore, few articles were found and other factors not mentioned among them may be part of the relationship that this research seeks. Practical implication: The study is an attempt to stop the increase in cases, as this syndrome can result in a state of deep depression and therefore it is essential to seek professional support when the first symptoms appear. Originality/Value: The relevance lies in providing enough knowledge so that digital entrepreneurs are alert to the importance of prevention.
Recommendations for Safety-Conscious Smart Device Use by Military Professionals

Security-conscious behaviour is of paramount importance, both in the field of information security and in various public institutions. Thus, in the public administration, especially in the various armed bodies, the training of personnel in this direction is of strategic importance, as a person with low security awareness can endanger the security of the entire organisation. Human security issues may even have national security or intelligence relevance.
Regional language toxic comment classification

&lt;p&gt;Social media sites are gaining popularity day by day. They are best for communication, business, entertainment, and many other things. After more than a decade, social media have become very influential. On the flip side, fake news, hate speech, and online trolls are the biggest concerns because of social media. So, a solution to curb this issue is needed, especially in regional languages. Many social media platforms support regional languages. This paper will provide a machine learning-based solution to this problem. The focus of this paper is to classify comments written in regional languages. Firstly, a dataset has been created in Gujarati, Hindi, English, Marathi, and Punjabi languages. After that, different machine learning and deep learning models are applied to the multilingual dataset. At last, a comparison of all model performances was made. &lt;/p&gt;