Reviewerly/exHarmony huggingface dataset:
Thematic Handouts Teaching Materials Based on Picture Stories Improving Reading Interest and Learning Outcomes of Fourth Grade Elementary School Students

Students' interest in reading is still low and there is still a lack of teaching materials that can increase interest in reading and student learning outcomes, especially when learning online. This study aims to produce a product in the form of thematic handout teaching materials based on picture stories on 8 sub-theme 3 themes for fourth-grade elementary school. This research is development research using the Borg and Gall model. The trial subjects in this study were 36 students of class IV. The data collection method used a questionnaire to obtain validity and practicality as well as reading interest and learning outcomes tests for effectiveness. Data collection instruments in the questionnaire consisted of content/material expert instruments, media expert instruments, design expert instruments, practitioner practicality sheets, student response questionnaires, reading interest questionnaires, and learning outcomes tests. The data analysis used is quantitative and qualitative. The results showed that the validity of the thematic handout teaching materials based on picture stories through content/material experts, media experts, and design experts was stated to be very good and feasible to use. The practicality of thematic handouts based on illustrated stories by teachers and students are 100% and 91.3% with very practical categories. The results of the effectiveness test obtained showed an average result of 0.76 for reading interest and 0.72 for learning outcomes in the high effectiveness category. So, it can be concluded that the thematic handout teaching materials based on picture stories are suitable for use in the learning process.
Assertive Action in Indonesian Debate Competition 2019

Students must be directed to express themselves positively, especially in expressing opinions and ideas, because they have a wide range of positive potential and bright pictures that can be used as alternative suggestions, especially regarding the problems currently experienced by Indonesia. This study analyzes assertive speech acts, forms, and functions in the 2019 Indonesian Debate Competition. This research is descriptive qualitative research using content analysis methods. The research subject under study was a debate competition video with the data object in the form of utterances showing the structure of assertive speech acts. This study's data collection techniques and procedures are documentation, recordings, and transcripts. The technique used to analyze the data is descriptive qualitative analysis. The findings show that news sentences as assertive speech acts have the highest intensity at 77.85%, imperative sentences at 12.14%, and interrogative sentences at 10%. Then states as a function of influential speech acts, which has the highest power of 26.42%, shows 22.14%, informs 17.14%, suggests 10.71%, and confirms 10.71%. This research is recommended to add to the general public's insight as a consideration of teaching materials for assertive speech acts at the tertiary and secondary levels.
Study on Real Time Auditing Mechanism of Innovation and Entrepreneurship Policy Implementation in Universities

Nowadays the implementation of innovation and entrepreneurship policies in Chinese colleges and universities is not implemented successfully, and the effect is not good.So it is necessary to audit and supervise it in order to optimize the effect of innovation and entrepreneurship education in education institutes.This paper is based on the characteristics, objectives of policy tracking audit, and its policy transmission mechanism.In order to improve the efficiency and quality of audit, the paper constructs the audit operation mechanism and supporting measures from the whole process of policy formulation, implementation and effect.
Distribution Analysis Active Small and Medium Industries Bogor City Using K-means Clustering

Small and Medium Industries (IKM) is one sector that contributes to driving economic growth, one of which is in West Java province, Bogor city. The number of active IKM in the city of Bogor in 2021 based on the survey results was 1,189, while in 2022 the number of small and medium industries (IKM) active in the city of Bogor based on the survey results was 1,766. The purpose of this study was conducted to determine the distribution of active small and medium industries (IKM) in Bogor city. So, this research can provide solutions related to the government or agencies to assist in building and developing IKM. In this research, the method used is the Knowledge Discovery in Database method, Where the stages are data selection, pre-processing, transformation, data mining and evaluation. Determination of the number of clusters is done using the elbow method. After determining with Elbow, the data will be represented using K-means clustering. The results of the K-means clustering algorithm yield 3 clusters, with each cluster 0 criterion being the distribution of low IKM with a total of 45 sub-districts. Cluster 1 is the distribution of medium IKM with the number of sub-districts is 14, and cluster 2 is the distribution of high IKM with the number of sub-districts totaling 9. The evaluation in this study used the silhouette coefficient method, from the data used it produced a cluster value of 0.56 which means that it is included in the clustering criteria with a good structure.
Analysis of Regency and City Pneumonia Clusters in West Java 2020

Pneumonia is an infection of the respiratory tract caused by bacteria, viruses, or fungi. The number of pneumonia cases in West Java is relatively high, therefore, it is necessary to identify some group of regencies/cities in which have a common characteristic, to make it easier to handle. The data used is data on the number of pneumonia cases in 27 regencies/cities in West Java in 2020. In this study, chi-squared test was applied to determine the characteristics of pneumonia spread in West Java. Then, a regression-based analysis by using the Irregular Graph Fused LASSO method was used to provide the cluster of regencies/cities, by considering the adjacent locations of regencies/cities as a penalty matrix. The results obtained that the cases spread unevenly. The number of cases for every 1000 people in each regency/city was relatively high in the eastern part of West Java. There were 6 clusters obtained from 27 regencies/cities, with Pangandaran regency as the location with the highest cases occurred. Depok City and Bekasi City were locations with the lowest number of cases even though they have relatively high population numbers.
Analysis and Design of Production Monitoring Information Systems on Label Shoe Manufacturing Companies

Digital technology can be used to solve problems that arise from business activity. One company that has not optimally used digital technology is PT Tiga Tapak Mutiara, which is engaged in manufacturing shoe labels. In its business process, each related division collects data, and the data collection results will be reported to the manager to unify work activities. The production data collection process has not been carried out optimally by the relevant divisions because the conventional recording is still carried out using a spreadsheet application which can slow down the reporting process to be monitored by the leadership. As a result, a slow process can impact not completing production on time. In addition to the problem of data collection, another problem is that the completion of orders received earlier is not compared to the orders received last. The aim and contribution of this research are to integrate business processes to overcome these problems in data collection, monitoring, and order completion activities. It is necessary to design a web-based monitoring information system with the Rapid Application Development (RAD) method and the application of the First In, First Out (FIFO) method so that the ordering process can run according to the time of order. The result of this research is a web-based information system that is useful for integrating business processes to monitor and optimize production activities to be completed on time. This web-based information system has also passed the functionality test using black box testing and is following the company's needs.
Refactoring Recommendations with Machine Learning

Refactoring is a well-known activity in software engineering that aims at changing a source-code snippet to improve structural quality attributes without changing the external behavior. It is known that manual refactoring is a common practice, but it is a time-consuming and error-prone activity. In literature it is possible to find approaches whose goal is to automatically recommend refactorings to software engineers. The goal is mainly to improve the productivity and internal quality of systems. However, we have observed that refactoring recommendations approaches are still immature, even those based on Machine Learning (ML). Thus, this PhD aims at researching how ML, along with explainability models, can be used to improve refactoring recommendations.
Online Learning in the post-pandemic era: Some Lessons Learnt from the Covid19 Pandemic Terms

In this paper we present some ideas of what we consider a model for online Engineering courses in the post pandemic era should include. As universities worldwide returned to the campuses after two long years of online teaching in some countries, some lessons or good practices could be taken for designing new models for online teaching in the coming years. Online education has shown its value during the pandemic terms and students and universities are now moving on new teaching models that could benefit from online education. In this work we present some perceptions of what a group of students in a Mexican private university think of their overall online experience during the pandemic terms and some ideas or suggestions that are given based on their own experience for universities to consider when designing new teaching models that include online education.
STUDENTS’ PERCEPTION TOWARD MEMRISE APPLICATION AS MEDIA IN LEARNING VOCABULARY

The objective of this study is to find out and describe about students’ perception toward Memrise application as Media in Learning Vocabulary at seventh grade school SMP N 62 BATAM. The participants are students at VII grade of SMP N 62 BATAM. This research is prepared based on field data using Qualitative research. Method data collection in this research was conducted by using questionnaire and interview. As for the data analysis technique, the researcher used data reduction, data display, and conclusion. The finding is students’ perception toward Memrise application as Media in Learning Vocabulary get positive perception and can help improve vocabulary mastery for English lesson. Memrise application gives so many benefits for the students. Beside this application easily to operate, Memrise application also has interesting feature. The lesson material from Memrise application is easy to understand by students and through Memrise application, students have more spirit to learn vocabulary in English and their phone is not only for playing game but they can use it for study.
INSTAGRAM : A MEDIUM IN IMPROVING STUDENTS’ WRITING

Instagram is a popular social media among young people, particularly students. It can be used for students to share their most memorable moments and improve their writing skills. The students may compose a narrative and publish it on Instagram. The teacher can then evaluate their creative writing. This study aims to analyze how Instagram digital poster projects can help students improve their writing skills. To support this analysis, the researchers utilized a qualitative methodology and applied the Teaching by Principle theory by H. Douglas Brown and Heekyong Lee and the New Media theory by J. Van Dijck and T. Poell. The scope of the study was derived from the writing of SMK Binakarya Mandiri Bekasi students and some supporting articles. There were three participants included in this study. This study's findings show that students can improve creative digital poster project on their Instagram accounts.
ONLINE LEARNING THROUGH LECTURE VIDEOS, GOOGLE MEET, POWERPOINT AND ITS IMPACT ON STUDENT OUTCOMES

This study aimed to investigate the students' view on the use of learning aids to support students in online learning such as lecture videos, PowerPoint, and Google Meet. It is also to investigate student outcomes by using lecture videos and other aids. The quantitative design is used with open-ended questions and Likert questions to get students' views related to the learning aids and summative assessment to know the student outcomes after using the learning aids. The number of students involved was 21 students of the English Literature Program at STBA Persada Bunda Pekanbaru in the 2021/2022 academic year. The study showed that most students found that lecture videos were the most helpful aid for them to support in comprehending the material followed by PowerPoint and Google Meet. Then, the student outcomes were better after studying from lecture videos and supported by PowerPoint and Google Meet. This study perhaps can shed some light on other lecturers using multiple media in delivering the material.
Digitalization of Education in China: problems, opportunities (Socio-Philosophical analysis)

SOCIO-PHILOSOPHICAL ANALYSIS)Formulation of the problem.Nowadays philosophers actively discuss and analyze the content and nature of high technologies and their influence on social development, because high technologies become the main determinant of essential changes in all spheres of social life, and, in particular, in education.From international experience, some countries, regions and organisations have established or are in the process of establishing a maturity model or framework for digitalisation in education as a way to consolidate the progress of digitalisation in education and promote the sustainability of practices.Analysis of publications.For example, the European Commission's Directorate-General for Education and Culture has developed the European Reference Framework for Digital Education Organisations (DigCompOrg); the University of Zagreb's School of Organisation and Informatics, in collaboration with CARNet, has developed a Digital Maturity Framework for Schools for primary and secondary schools in Croatia, based on the reference to the European DigCompOrg framework; and industry organisations, represented by IDC, Microsoft, and Gartner and other industry organisations have also introduced frameworks or models for digital transformation in education.Increasingly, we see the emergence of studies whose central theme is the digitalisation of education.In China, these issues have been discussed by Zhou Lu, Peng Gao, Li Xiaoyin, Wang Lixia, Xu Ruiping, Wu Xuanhong, Diao Shengfu and others.They argue that the development of biotechnology, artificial intelligence, and information technology has led to profound changes in human life and the future direction of civilization, and the ability of human beings to control technology and to serve productive life will be significantly enhanced [15; 17; 18; 20].Research on the role of social
Transformation of university as a liminal phenomenon: on the ways of human one’s searching for the self

Problem setting.The rapid, intensive development of the contemporary world leaves no chance for a person to remain unchanged for a long time.We are doomed to be always in motion, in change, constantly creating our own personal liminal space of life.The development of choice and access to quality, and people being digital natives, transform things.The contemporary world produces many opportunities and means for the one to find oneself, to become someone the one really wants to.University is one of such means that allows to significantly change the way of self-consciousness and self-realisation.University education currently takes several forms with different purposes, although it must be as flexible as possible to meet the rapidly changing demands of students.So, it is argued that the university functions as a really working tool of personal limit-experience, aimed at creating a unique individual sphere, including through the construction of a unique self-university based on a mobile inner limit.Recent research and publications analysis.On the one hand, university as a unique phenomenon with its specific role and meaning during certain period of its existence was the issue of many thinkers such as B. Readings,
PARENTS’ ATTENTION ON STUDENTS’ ENGLISH LEARNING DURING THE COVID-19 PANDEMIC ERA IN MUHAMMADIYAH ELEMENTARY SCHOOLS IN YOGYAKARTA

Online learning in the Covid-19 pandemic era has been running for almost two years. Students are spending their time mostly at home, and parents have taken over more tasks as teachers for their children, including English learning. This study aims to investigate the kinds of parents’ attention on students' English online learning during the Covid-19 pandemic era and their influence on the students’ discipline during learning at home. A case study research design was employed. The respondents were the parents of fourth-grade students in SD Muhammadiyah Karangwaru, Yogyakarta. The data were collected through deep online interviews, online class observation, and field notes. Then, the data were analyzed by using the descriptive qualitative method that includes data collection, data display, data reduction, and conclusion (Miles, Huberman, Saldana, 2014). The results show that there were four kinds of attention given by parents to the students while having English online learning, namely: 1) giving full affection to students, 2) guiding and assisting students in learning, 3) giving rewards for motivation, and 4) fulfilling students’ learning facilities. Meanwhile, the attention created good discipline for the students, i.e., writing new English vocabularies, completing and submitting assignments, and sharing time to study and to play.
SENTENCE STRUCTURE ON THE ENGLISH LITERATURE STUDENTS’ THESIS ABSTRACT

The thesis abstract is the opening section of the thesis, and it serves to convey the research's substance in a concise manner. Even though it is less than 200 words long, it contains important information, and well-constructed sentences are required while writing thesis abstracts. The objective of this study was to categorize the sentence structure produced by English literature students' in the thesis abstracts into two categories: grammatical and ungrammatical sentences, and to present the ungrammatical sentence structure in a tree diagram by using Phrase Structure Rules (PSRs) by Carnie (2013). This study was descriptive qualitative research that is concerned with structures and patterns especially the sentence patterns. The findings showed that most sentences were constructed in ungrammatical structure with 61% of total sentences and 39% of grammatical structure. Ungrammatical sentences were mostly caused by issues with noun agreement, to-infinitive, prepositions, and articles. This study concluded that students need to improve their linguistic competence by learning linguistic concepts about the sentence structure, and its effect on the meaning.
Retraction: Smart Villages: IoT Technology Based Transformation (J. Phys.: Conf. Ser. 2070 012128)

This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1]. IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper. This casts serious doubt over the legitimacy of the article and/or expertise of the authors in this topic. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. As a result of the concerns identified, IOP Publishing has lost confidence in the validity of the findings presented and agree this article should be retracted. IOP Publishing wishes to credit the Problematic Paper Screener for bringing the issue to our attention. The authors disagree with this retraction. [1] Cabanac G, Labbe C, Magazinov A, 2021, Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals, arXiv:2107.06751v1 Retraction published: 14 February 2023
THE EFFECTIVENEES OF INFORMATION PROCESSING TEACHING MODEL OF THE INDUCTIVE AND CONCEPT ATTAINMENT IN TEACHING ESP AT UNIVERSITAS BUMIGORA

This research has five goals. If there is an effectiveness among IT, CA, and conventional models; the second is if the IT the model is more effective than the conventional one; the third is if the CA model is more effective than the conventional one; the fourth is if the IT model is more effective than the CA model; and the fifth is if the IT model is the most effective among the three models in the teaching ESP at Universitas Bumigora. This research is quasi-experimental with a randomized pretest-posttest control group design. The population is all of the students of ESP at Universitas Bumigora. The sample used the simple cluster random sampling technique. The instruments used are assessment rubric and English assignment sheet. The data is collected through the assignment of English and assed with English assessment rubric. The data analyzed using two-way ANOVA. The result of this study shown that there is significance difference among three teaching model one with sig. value 0.169. IT is less effective than conventional with sig 0.28 ≤ 0.05 or Ho is accepted; CA is more effective than conventional model with sig value 0.723 ≥ 0.05.
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language

OutlierDetection.jl is an open-source ecosystem for outlier detection in Julia. It provides a range of high-performance outlier detection algorithms implemented directly in Julia. In contrast to previous packages, our ecosystem enables the development highly-scalable outlier detection algorithms using a high-level programming language. Additionally, it provides a standardized, yet flexible, interface for future outlier detection algorithms and allows for model composition unseen in previous packages. Best practices such as unit testing, continuous integration, and code coverage reporting are enforced across the ecosystem. The most recent version of OutlierDetection.jl is available at https://github.com/OutlierDetectionJL/OutlierDetection.jl.
Introducing Symmetries to Black Box Meta Reinforcement Learning

Meta reinforcement learning (RL) attempts to discover new RL algorithms automatically from environment interaction. In so-called black-box approaches, the policy and the learning algorithm are jointly represented by a single neural network. These methods are very flexible, but they tend to underperform in terms of generalisation to new, unseen environments. In this paper, we explore the role of symmetries in meta-generalisation. We show that a recent successful meta RL approach that meta-learns an objective for backpropagation-based learning exhibits certain symmetries (specifically the reuse of the learning rule, and invariance to input and output permutations) that are not present in typical black-box meta RL systems. We hypothesise that these symmetries can play an important role in meta-generalisation. Building off recent work in black-box supervised meta learning, we develop a black-box meta RL system that exhibits these same symmetries. We show through careful experimentation that incorporating these symmetries can lead to algorithms with a greater ability to generalise to unseen action & observation spaces, tasks, and environments.