Reviewerly/exHarmony huggingface dataset:
The Effect of Structured Dyadic on the Students’ Reading Comprehension

The purpose of this study is to determine whether the structured dyadic technique has a substantial impact on the students' reading comprehension in the tenth grade at SMAN 14 Kab. Tangerang This study employed a quantitative approach using a quasi-experimental methodology. This indicates that the author employed two classes, one of which served as the experimental class and the other as the control class. All tenth grade students as well as 72 additional pupils make up the population of this study because purposive sampling was employed to select the sample. The t-test formula was used to test the hypothesis data. As a consequence of the hypothesis test, it was determined that the Sig. is 1.667&gt;0.05, which indicates that Ho is rejected and Ha is accepted. Based on the findings, it can be said that the Structured Dyadic Method (SDM) has a significant impact on the students' reading comprehension in the tenth grade of SMAN 14 Kab. Tangerang.
The Causes of Code Switching and Code Mixing by Low Level of EFL Learners

The objective of this study is to analysis the proses occurred the code switching and code mixing, to find out the types and the cause seventh grades at SMPN 1 KIBIN. This study was categorized into qualitative research design embracing particularly the content analysis. The data in this thesis were collected through observation, transcript conversation and documentation. In analysing the data the writer used triangulation data that consist of data reduction, data display and conclusion drawing/verification. The conclusion for this thesis is that in the conversation in seventh grades at SMPN 1 KIBIN occurred code switching and code mixing with the result of this thesis showed that each have three types of code switching and code mixing used in seventh grade at SMPN 1 KIBIN. (1) The calculation of the percentage code switching, the highest percentage results above are intra sentential switching (52%) because in this type of students are able to say words in English. The ssecond percentage is inter sentential switching (36%) not much different from the previous type, but in this type there are no explanatory sentences after or before. And the last smallest percentage is tag switching (12%) only one student does this type. (2) The calculation of the code mixing percentage, the highest percentage results above are alternation approaches (50.98%), students are able to speak explanatory sentences. The second in this percentage are insertions (word phrases) ( 33.33%) because in this type of students are able to say words in English. And the last, the smallest percentage is congruent lexicalization (dialect) (15.68%) only two students who do this type.
Peningkatan Keterampilan Membaca Pemahaman Dengan Menggunakan Metode Pembelajaran Think Pair Share (TPS)

This research concerned on students’ reading comprehension using Think Pair Share (TPS) method. The objective of research is to know the improvement of students’ reading comprehension in reading kids story material when Think Pair Share (TPS) Method is applied in fifth grade at SD Negeri 003 Siabu. This research is Classroom Action Research. It has been conducted on May 2021. It conducted in six meetings. The subject of the research is students of fifth grade at SD Negeri 003 Siabu included of 26 students. The result of this research showed that Think Pair Share method can improve students’ reading comprehension in reading kids story material it proved from the comparison of students score in every cycle. In pre-cycle, 5 students or 19,2% that achieve score higher than KKM 70. In cycle I, it improved to be 15 students or 57,7%. In cycle II, 24 students or 92,3% have score higher than KKM. In conclusion, the use of Think Pair Share method can improve students’ reading comprehension of fifth grade at SD Negeri 003 Siabu in academic year of 2021/2022.
PERANCANGAN KAMPANYE SOSIAL MODIFIKASI PAKAIAN DENGAN TEKNIK SHIBORI DAN PATCHWORK UNTUK MENGURANGI DAMPAK FAST FASHION

ABSTRACT&#x0D; Clothing is one of the primary human needs, but due to the times, the function of clothing is also used to satisfy social needs and reflect someone in a certain social class and class. The public's desire to keep looking up-to-date, fast fashion emerged, which produced clothes and grooming that were popular and following the times. Fast fashion presents a ready to wear concept that applies trending designs in the form of clothing at affordable prices and access. Fast fashion produces the largest waste in the world after oil, contributes to waste in the world which can cause climate change and reduce the availability of clean water. Because of the need to educate about the high waste generated by fast fashion, it is necessary to have the right strategy to convey it to the audience.&#x0D; Designing a social campaign video that contains information about fashion to the dangers of the impact of fast fashion and invites the public to care for and manage old clothes with shibori and patchwork techniques so as to increase awareness levels and create new mindsets with the right media, namely videos. The design of this video social campaign uses several methods to find data, namely qualitative and quantitative methods. Qualitative methods are carried out by interviewing people who understand current phenomena. Meanwhile, the quantitative method is obtained by distributing questionnaires to the target audience. The results of the data collection were analyzed using fishbone analysis techniques and descriptive analysis techniques&#x0D; &#x0D; Keywords: Fashion, Fast Fashion, Upcycle, Shibori, Patchwork.
A FUZZY CO-CLUSTERİNG ALGORİTHM FOR BİOMEDİCAL DATA

In order to increase the accuracy of clustering biomedical data, fuzzy co-clustering extends co-clustering by applying membership functions to both the objects and the characteristics. In this research, we provide a novel information bottleneck-based fuzzy co-clustering algorithm called ibFCC. The distance between a feature data point and the feature cluster centroid is calculated using the information bottleneck theory by the objective function called the ibFCC. Using five biomedical datasets, numerous experiments were done, and the ibFCC was compared to well-known fuzzy (co-)clustering algorithms as FCM, FCCM, RFCC, and FCCI. According to experimental data, ibFCC could produce high-quality clusters and was more accurate than any of these approaches
A Study on Analysis of Needs for Using Korean Graded Readers for Language and Culture Intergration Education: Focused on Local Korean Language Learners in Vietnam

The purpose of this study is to examine the applicability of Korean Graded Readers (KGR) into Korean Language and Culture Integration Education in Vietnam. KGR has attracted great attention from foreign language education researchers, including Korean as a Foreign Language education, as it can reduce the literary language burden for learners. However, it still lacks research on how to use KGR in teaching in practice. In Korean as a Foreign Language education, reflection of learners’ needs plays a crucial role when introducing a new learning material. Therefore, this study discussed the direction of application and usability of KGR based on the survey results of learners' preference and receptivity for literature learning and reading materials. According to the analysis results, learners are interested in literary works, but many works have an impression that literary texts are difficult to understand, an while approaching literary works, students who are more fluent in Korean, tend to learn cultural/literary content rather than Korean Language skills. Moreover, Korean learners in Vietnam also face the problem of lack of diversity in reading materials. Therefore, the appearance of Korean Graded Readers is necessary and possible. Here, when introducing Korean Graded Readers to help learners access literature by stages, we should selectively implement the goals of learners’learning and their Korean skills rather than completely replacing literature works. In case of presenting the original literary work, attaching Korean Graded Readers as an appendix can help learners understand not only the core content of the work but also the social and cultural knowledge contained in the work more easily.
The Issue on Seizure Procedures of digital Evidence to be stored in Voluntarily Submitted Digital Storage Device

In these days a mobile phone comes into wide use and many crimes are frequently committed by means of mobile phone. For example many persons are prosecuted because of taking photographs in the subway etc by using a camera of mobile phone. So much evidence of a crime is stored in mobile phone.BR The recent Supreme Court decision, 2016 Do 348, ruled on the search and seizure of digital evidence by consent. The Supreme Court
Risk communication about chemical substance contained in consumer chemical product

The consumer chemical products we use in our daily lives may contain chemicals that are considered hazardous or likely to pose a risk. Therefore, proper management is needed. As one of the management means, a method of providing information on chemical substances to consumers using the product can be considered. A widely used method is to display information on chemical substances on the outer surface or packaging of products. Recently, a system that requires business operators to provide information on chemical substances to consumers has been established.BR In order to increase the readability of the labeling in consumer chemical product subject to safety verification, improvement of the labeling system according to Article 10(8) of
Research and application of adaptive security management and control framework for multi-party cloud complex environment of electric power

With the rapid development of digital transformation of power enterprises and the widespread application of cloud computing, there is a coexistence of multi-party cloud and non-cloud environments in the information network. The original security boundary has been continuously extended, and the security team is facing the problems of increased protection difficulty and reduced management efficiency. In order to solve the problem, this paper proposes an adaptive security management and control framework for multi-party cloud and non-cloud environments, based on softwaredefined and a unified resource model. First, a unified cloud security resource model is proposed. Then, by instantiating the elements of the unified cloud security resource model, an adaptive security management and control framework is built for the power multi-party cloud complex environment. Finally, the application of the linkage blocking scenario of the firewall on the cloud and outside the cloud is designed and implemented.
Network education integrated system based on intelligent algorithm

With the development of social process, the change of times and the evolution of LE policy, the understanding of labor education (LE) and moral education will be different in different periods; Educators urgently need to look at LE from a new perspective, achieve the educational effect of 1 + 1 &lt; 2 through the combination of LE and moral education, reunderstand labor education, and reconstruct China’s LE system of basic education from the perspective of “cultivating morality through labor” (CMTL). At the same time, intelligent network education (NE) integration system is also an important research topic of education departments and colleges and universities; With the continuous in-depth research on computer technology, people have gradually introduced scientific calculation methods into the education system, among which the intelligent test paper generation algorithm is one of many algorithms. This paper discusses the construction of NE integration system based on intelligent algorithm (IA), and puts forward an intelligent test paper generation algorithm based on improved genetic algorithm based on integer coding. It is verified by college students’ moral education test that using this algorithm, the system can select appropriate topics from the test question bank and combine them into a high-quality test paper; Using intelligent test paper generation algorithm to construct standard answer template for matching can effectively improve the scoring accuracy of subjective questions.
New Education Policy 2020: A Sentiment Classification

Objectives: To develop a model of multi-class classification which provides better performance for the large dataset.To reduce complexity of the model and to analyse the sentiments of twitter data in an efficient way.Methods: The sentiment analysis has been performed on the New Education Policy 2020.Totally, 105045 tweets were collected from the Twitter database using Tweepy library in python.The sentiment analysis was done on English tweets.The preprocessing and feature extraction was done by using pyspark packages.The hybrid of unigram and bigrams feature sets was used.To extract the labelled dataset, AFINN dictionary was used.The classifiers such as Random Forest in Machine Learning and Convolutional Neural Network, Bidirectional Long Short-Term Memory in Deep Learning were used to determine positive, negative and neutral sentiments of tweets.Findings: The Accuracy (97%), Precision (97%), Recall (97%), F-Measure (97%) and 99% of ROC-AUC with the minimum Log Loss 0.10 was obtained by the hybrid of Convolutional Neural Network and Bidirectional Long Short-Term Memory.Novelty : The complexity of the model was reduced by using Convolutional Neural Network which selects the relevant features.The performance of the model was evaluated by using the various metrics such as accuracy, precision, recall, f-score, log loss and roc-auc whereas in the existing works only limited metrics were used.The efficiency of the proposed model can be proved in any case.
Preface

A challenge for Linked Data is to link instances from different data sources that denote the same real-world object. Millions of high-quality owl:sameAs linkages have been generated, but potential ones are still considerable. Traditional similarity-based methods to this data linkage problem do not scale well since they exhaustively compare every pair of instances. In this paper, we propose an automatic approach to data linkage generation for Linked Data. Specifically, a highly-accurate training set is automatically generated based on equivalence reasoning and common prefix blocking. The contexts of the instances in the training set, after extracting, are pairwise matched in order to learn discriminative property pairs supporting linkage discovery. For a particular class pair and a pay-level-domain pair, the discriminability of each property pair is measured, and a few property pairs with high discriminability are aggregated in order to be reused in the future to link instances between the same classes and domains. The experimental results show that our approach achieves good accuracy against some complex methods in two OAEI tests and the BTC2011 dataset.
DEVELOPING ENGLISH MATERIALS OF MIDWIFERY STUDENTS AT STIKES SUKMA WIJAYA SAMPANG

ABSTRACT&#x0D; The demand of qualified midwives in their job field encourages the midwifery academy include English language as the compulsory subject for the students. It is very rare to find the ESP books designed for the students of midwifery. This study is aimed at developing an English material which is specified to the students of Midwifery Academy of Sukma Wijaya Sampang. It was carried out to require the students’ need and interest. It was conducted by using the Research and Development (R &amp; D) design in which the procedures of need assessment, and expert validation were included. The data collection involved a number of instruments, namely questionnaires, interviews, and observation. The questionnaires were applied to the students, and chief of midwifery department on the procedure of need assessment, while the checklist was given to the experts on the process of product validation. All the data were analyzed descriptively and could be concluded that the material was applicable for the students in terms of their attractiveness and appropriateness of the content and level of the difficulty.&#x0D;
Integrity, Pride and Love as Power in Jane Austen's Novel: Pride and Prejudice

This study aims to find out that relative power (P) variables are not only social status, age, education and wealth. Another aim is to show that negative politeness strategies do not always belong to someone with higher social power. Relative power is one element of social variables that decides politeness strategies. Pride and Prejudice reveal that integrity, pride and love are also variables of relative power. They can also prove that though someone’s social status is not high and her social distance from another participant is asymmetric, she could have power over someone with higher social status. Power characterized by integrity, pride, belief, and freedom from being dominated is called personal power; meanwhile, it is a power determined by a good personality, attractive physical appearance, and referent power. This study uses a qualitative method, and the data is mainly from Pride and Prejudice. The main character of Pride and Prejudice shows us that integrity, pride, and love could be the variables of power deriving from Personal and Referent power. Those powers could develop and deepen relative power in social variables to be applied in politeness studies.
The Effects of Social Media Use on School Learning: Evidence From PISA 2018

It is shown that younger users are more active on social media (Colleen Mcclain, Emily A. Vogels, Andrew Perrin, 2021). The frequent use of social media is changing the manner in which a new generation of students communicate, learn, and think. As a result, the discussion on the impact of social media on learning achievement
Competences 4.0 As Resilience Factors in Educational Project Management During COVID-19

The Covid-19 pandemic affected all aspects of human life and education systems became one of the spheres most severely disrupted. The international dimension of education, and especially Erasmus+ Programme – the European Union initiative supporting the development of competitive skills and competences among pupils, students, adults, teachers, academics and professionals – was also affected. International
Using Pre-Test for Assessing Familiarity With Japanese Culture of Foreign Students During Japanese Communication Class

After over two years into the pandemic, international student mobility is still not recovered in Japan and many of the exchange activities with students at foreign universities are still being conducted online. In 2022, we conducted an online summer school for foreign students from abroad to learn about up-to-date scientific research trends as well as
The Lived Online Education Experiences and the E-Competencies of the Teacher Education Institutions

The sudden shift into online education has greatly affected the Teacher Education Institutions (TEIs) since they were forced to move to the virtual classroom without preparations. Thus, using concurrent nested mixed-method research, this study investigated the lived experiences of 59 teachers of the 4 TEIs in their conduct of online learning. An open-ended questionnaire was
Sources of Research Funding and Academic Productivity

This study aims to explore the impact of different sources of funding on research productivity. Using a sample of 403 academics, we employ ordinal and logistic regressions to assess the different sources of funding, namely the universities, government, EU, private entities and development agencies, on three different outcomes, namely the number of articles published in
Perancangan Sistem Informasi Pembelian Bahan Baku Dengan Object Oriented Methodology

The technology-based information system used in the company is very helpful and facilitates work productivity in each company. However, there are still some companies that have not used computerized systems properly. One of them is at PT. Pilar Makmur Utama. There are obstacles in the purchasing process and the slowness of ordering because the admin has to manually calculate raw materials, as well as the frequent loss and scattering of supplier receipts, making it difficult to make reports every month. For this reason, an information system is needed, so that it will facilitate the search for data and the recording process. This system is designed using Unified Modeling Language modeling. So with this system, the problem at PT. The Main Makmur Pillar can be handled properly and help the company's performance to be more effective according to user needs.
Rancang Bangun Aplikasi Web Pada Toko Reparasi Jaya Menggunakan Metode Prototype

Jaya Repair Shop is a service provider of repair and maintenance of damaged or dirty footwear. Customers who want to repair their damaged footwear can only be served at the store location. Recording of orders is also still done manually using books. Information on available services and the amount of service fees can also only be known to customers by asking directly to the service provider. Similarly, the estimated repair time that cannot be ascertained often makes customers have to wait. Therefore, the author wants to design a web-based repair service ordering application to improve service and revenue Jaya Repair Shop. The system will be designed using prototype method and problem analysis using qualitative method described with fishbone diagram. The system will be built using PHP programming language and MySQL database. The result of this research is a web application for ordering shoe repair services that can be used by customers to order repair services anytime and anywhere, as well as a container to increase the income of repair service providers.
Rancang Bangun Sistem Pengolahan Data Cuti Karyawan Berbasis Web Pada PT Care Spunbond

Data processing at PT Care Spunbond already uses semi-computerization, but in recording leave data processing still uses a leave form in the form of HVS paper as the medium and is processed or inputted into Microsoft Excel, causing several problems (constraints) including a long time in terms of making reports because (must recap the data on the results of one leave application) one by one must recap the results of the data for submitting leave (applications for leave). Looking at the problems faced, it is very necessary to have a system that makes it easier to make reports so that it doesn't take a long time, the process of submitting leave and inputting results becomes easier, and providing up-to-date report information, as well as minimizing errors in reporting.
Troubling Trends in Publication Ethics

The <i>Journal of Micro/Nanopatterning, Materials, and Metrology</i> (JM3) publishes peer-reviewed papers on the core enabling technologies that address the patterning needs of the electronics industry.
Developing Kodular-Based Electronic Glossary of Anglicism as Teaching Tool

This study aims to discuss the process of developing electronic glossary to be a product, which called glossnique. The development process is carried out by material and media feasibilities involving four validators in order the development results are feasible to apply by students. The research was adapted using the ADDIE model (analysis, design, development, implementation, and evaluation) proposed by Robert Maribe Branch although the research was only focused on the development stage. In the material validation process, the average value of 95% was obtained, so the development was categorized very good. Meanwhile, in the media validation process, the average value of 91.4% was gained, and the result was classified as very good. Thus, overall, the development of media which is based on augmented reality applications is said to be valid or feasible and it can be implemented for teaching and can be used by students. Keywords: Development, Media, Glossary, Glossnique