Reviewerly/exHarmony huggingface dataset:
Rhetorical Structure on Research Article Abstracts in Informatics and Computer Science Journals

&lt;p align="center"&gt;&lt;strong&gt;&lt;em&gt;ABSTRACT&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;In order to attain coherence, research abstracts must contain a number of crucial steps, although these steps do not always follow the same sequence. Contexts tend to dictate different writing styles. This study looked at how the rhetorical structure or move structures were used, distributed, and arranged in 30 abstracts as incorporating of two Computer Science &amp;amp; Engineering, and Information Systems journals in Indonesia. Each move was classified and categorized using the five-move analysis paradigm developed by Hyland. Findings from the analysis showed that there were 12 organizational move pattern appears. Some had all the five moves, some had four moves and others only three. There were 15 abstracts that contained all the five moves identified with 9 abstracts following the framework M1-M2-M3-M4-M5, while the other 6 are random. 13 abstracts contained 4 moves with 10 following the M1-M2-M3-M4 pattern, while the other 3 are random. Another 2 abstracts only contained three moves with M1-M2-M3 and M1-M2-in pattern.&lt;/em&gt; &lt;em&gt;In conclusion, this present study showed that the 50% of RA abstracts of the two journals have fulfilled the Hyland’s five model. Furthermore, in order to assist the student researchers in creating well-written abstracts, it would be good to provide explicit training and experiential learning through a genre-based approach.&lt;/em&gt;&lt;/p&gt;
A Study on Secure Cloud Analysis for National Infrastructure

The recently developed cloud is converging with other technologies and industries including AI and blockchain, and most online and offline services are composed of the cloud.It is widely used in major national and public institutions beyond the private sector.However, there are various security threats such as data leakage and loss when using data in a cloud environment.If sensitive information of users or important information is shared in the cloud, significant damage is expected when exposed to security threats.This paper is about technology trends and research for secure cloud architecture solutions for major national infrastructures.A survey on cloud policies in each major country and cloud policies being promoted in Korea will be explained.And based on the researched data, we suggest the direction, technology, and requirements to consider to securely configure the cloud to be used for major national infrastructure.
APPLYING DRILLING TECHNIQUE TO ENHANCE STUDENTS’ PRONUNCIATION OF SUFFIX –ED IN REGULAR VERBS

This research aims to find out whether drilling technique can enhance students’ pronunciation of suffix –ed in regular verbs or not. The researcher applied true experimental design which involved the experimental class and control class. The population of this research was the eighth-grade students of MTsN 2 Palu; VIII A as the experimental class and VIII B as the control class. The researcher used a cluster random sampling technique. The instruments used to collect the data were tests, recordings, and observation sheets. The pre-test was conducted to measure the students’ pre-ability before obtaining the treatment and the post-test was to measure the students’ ability after obtaining the treatment. The data obtained from the scores of the students’ test were analyzed statistically. The result of data analysis shows that the alternative hypothesis of this research was accepted by regarding to the analysis of tcounted (2.84) was higher than ttable (1.69) by applying 0.05 level of significance with degree of freedom (df) is N1 + N2 – 2 = 29 which means that drilling technique can enhance students’ pronunciation of suffix –ed in regular verbs.
IMPROVING VOCABULARY MASTERY BY USING SHORT STORIES

This research aims to find out whether short stories can be successful in improving students' vocabulary mastery or not. The researcher used quantitative research with experimental design using one-group-pretest-posttest. The sample of this research is class XI IPA 2 students of SMA Negeri 6 Palu that consists of 15 students. This class is taken as the experimental class, and the class is taught by using a short story, specifically about the legend. The selection of samples in this research used purposive sampling. After conducting the test, the researcher got the mean score of the students' pre-test is 48.33 while the average score of the post-test is 74.00. Then the data were analyzed using the t-test formula. The result of data analysis shows that t-count was greater than t-table, t-count = 6.282 and t-table = 1.771 at a significance level of 0.05. It can be concluded that there is a significant improving in students' vocabulary mastery after using short stories as learning materials.
Development of Blockchain-Based Digital Signature Platform

As technology develops, the Internet of Things (IOT) becomes a topic that is being mentioned over and over again. Many things can be done online. One of them is document signing activity. A company named “XYZ” wanted to build a prototype application using a framework that can build and develop a multiplatform app that can be used to sign a document and secure it with digital certificates, and the transaction activity is recorded and can be verified through a blockchain system. This study aims to find out how to apply blockchain system in a series of digital signing activities, how are the concept and how to verify a transaction that already recorded in a blockchain system, and also how to make a prototype that easy to develop further for other platforms. In the end, the application can be made easily using Expo, Node.Js, and the process for recording and verifying transactions can be done easily with the help of Hyperledger Iroha.
Solar Irradiance Nowcasting using IoT with LSTM-RNN

Photovoltaic (PV) power stations are dependent on weather factors that influence their yield. Among the array of meteorological sensors required to determine power production is irradiance sensing instrumentation such as thermopile pyranometers and PV reference cells. Given the relatively high cost of these sensors some alternatives are entailed. This paper follows the development of a low cost solar irradiance sensor or a PV reference cell, using ubiquitous hardware – a Raspberry Pi Zero W, an INA219 current sensor, and a 300 milliwatt [mW] solar cell, calibrated with the help of a pyranometer. Deep learning techniques are used to reconstruct the GHI from values read by the current sensor. The univariate time series values read from the reference cell's current sensor are used as input to encode information into the long short-term memory recurrent neural networks (LSTM-RNN), with univariate time series values of GHI from the pyranometer as output. A signal translator is obtained with the role of predicting univariate time series of GHI that can be later used in PV applications.
Use of Code Mixing Among Circulation Division Members at Solopos Media Group in Coordinating The Events Through WhatsApp Chat

The development of technology in this globalization era makes everything easier and more practical. One aspect that is greatly helped by technological advances is communication. Communication is a method to connects all of human desires, that is how relationship with other was created. To establish better communication, humans use language to connect the contents of their minds in order to get harmony in a certain matter. Each country has a different language from one another, however nowadays there are many cases of a certain language being used by other countries due to the influence of the spread of culture through digital technology. People start mixing two or more languages when they speak, this phenomenon is a substation of sociolinguistics called code mixing. The use of code mixing can be found in the WhatsApp group chat of Circulation Division members at Solopos. They used code mixing in coordinating the implementation of the events they hold. This article was compiled with the aim of analyzing the types of code-mixing they have used. This article is descriptive qualitative research, the data was obtained from the WhatsApp chat of the Circulation Division at Solopos Media Group and the analysis of the data was taken from books, journals and articles related to the topic.
CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM WITH KNOWLEDGE BASED RECOMMENDATION METHOD

The market which is the largest wholesaler of clothing in Central Java is the Klewer market area and its surroundings. One of the clothing stores in the area is the Simple Inc Store. Simple Inc Store is a large kiosk that sells clothing products in the form of various types of shirts, t-shirts, jackets, sweaters and pants. Sales of products in these stores are still done conventionally, namely customers come directly to the store to choose and buy products. The number of clothing products that are sold makes customers experience difficulties in the process of selecting clothing products. Therefore, it is necessary to develop a recommendation system that can assist customers in choosing clothing products. The purpose of this study is to build a Recommendation System for Selection of Clothing Products by applying the Knowledge Based Recommendation method. The research method used in this research is Rapid Application Development (RAD) which consists of 5 stages, namely Business Modeling, Data Modeling, Process Modeling, Application Generation, and Testing. Knowledge based recommendation has the advantage of being able to set the level of user priority based on the user's needs for the product. Knowledge based recommendation on the recommendation system for the selection of clothing products can provide 5 choices of search attributes for clothing products, namely brand, price, material, color and size. clothing product selection recommendation system can display clothing product information, perform clothing searches based on customer needs based on a choice of 5 attributes and can display clothing product recommendations. Clothing products with the highest similarity value are displayed as clothing product recommendations. The results of the system testing using the blackbox testing method show that the functions in the recommendation system for selecting clothing products have successfully run as expected.
Job Satisfaction of Employees and Its Impact on Job Performance from the Point of View of the Employees of the Arab Potash Company in Jordan

The study aims to identify the level of employee job satisfaction and its impact on job performance from the point of view of the employees of the Arab Potash Company in Jordan, and the problem of the study is clear in determining the level of Through the previous literature, the problem of the study is clear in determining the level of Job satisfaction of employees and its impact on job performance From the point of view of the employees of the Arab Potash Company in Jordan.The researcher distributed a questionnaire as a data collection tool to the employees of the Arab Potash Company in Jordan, who numbered 250 out of 400 employees.The researcher reached several results, most notably : There were no statistically significant differences (α = 0.05) due to the effect of gender, as the p value was 0.650 and the statistical significance was 0.421 , There were no statistically significant differences (α = 0.05) due to the effect of the educational qualification, as the P value was 2.073 and the statistical significance was 0.104 , There were no statistically significant differences (α = 0.05) due to the effect of income, as the p value was 1.288 and the statistical significance was 0.278.
IMPLEMENTATION OF AUGMENTED REALITY AS A HAIR MODEL VISUALIZATION MEDIA BASED ON ANDROID

Humans place a high value on physical appearance. An attractive appearance can increase a person's self-confidence. Hairstyles are one of several ways to achieve an attractive appearance. This implies that there is always a demand for barbershops. However, some traditional barbershops, like Mr. Abdi, use outdated techniques like hanging flyers for haircut models that are no longer relevant in this era. This has an effect on the very low level of interest among young people who use services provided by roadside barbershops. The objective of this study is to create applications that have a way of delivering information that is interactive and different from other modern barbershops using augmented reality (AR), which will be used as a medium for visualizing hairstyles. In this study, the markerless tracking method is used to display three-dimensional objects in various types of fields. This application was developed with Unity and Vuforia because the development process can be done quickly. Based on the results, the overall quality of the software is 84%, so it is feasible for mass use.
Tendencies in the Media Coverage of Two Educational Books Concerning Taboo Themes

The article examines the media coverage of two books intended for children and teenagers that concern taboo themes, such as sexual education and same-sex partnership. A similarity in the coverage is demonstrated where limited conservative stances become overrepresented through a large number of publications in a short period of time. The results are presented with regard to media effects and the formation of attitudes in a wide range of recipients of mediatized messages.
Pengaruh Pelaksanaan Pembelajaran Online terhadap Prestasi Belajar Siswa Kelas V SD Gugus II

The problem in this study is that the learning achievement achieved by students from online learning has decreased since the implementation of online learning. This research is an ex-post facto quantitative research that aims to determine the effect of the implementation of online learning on the learning achievement of fifth grade elementary school students in Cluster II. The results showed that there was a significant effect between the implementation of online learning on the learning achievement of fifth grade elementary school students in Cluster II with a tcount value of 3.117 greater (&gt;) the Ttable value of 1.65895 with a significant level of 5%, which means Ho is rejected and HÎ± is accepted. From the coefficient of determination test, it is known that there is an effect of 8.2% on the implementation of online learning. Based on the results of the data analysis above, it can be concluded that the implementation of online learning will have an impact on student achievement. So, the better the implementation of online learning, the better the student's learning achievement. From these conclusions, the impact resulting from this study is known that the implementation of good online learning will improve student learning achievement. This research is an ex-post facto quantitative research that aims to determine the effect of the implementation of online learning on the learning achievement of fifth grade elementary school students in Cluster II. The results showed that there was a significant effect between the implementation of online learning on the learning achievement of fifth grade elementary school students in Cluster II with a tcount value of 3.117 greater (&gt;) the Ttable value of 1.65895 with a significant level of 5%, which means Ho is rejected and HÎ± is accepted. From the coefficient of determination test, it is known that there is an effect of 8.2% on the implementation of online learning. Based on the results of the data analysis above, it can be concluded that the implementation of online learning will have an impact on student achievement. So, the better the implementation of online learning, the better the student's learning achievement. From these conclusions, the impact resulting from this study is known that the implementation of good online learning will improve student learning achievement.
Recognition of Non-cooperative Radio Communication Relationships Based on Transformer

The recognition of communication relationships under Non-cooperative conditions is significant for understanding the network composition of unknown targets, inferring network topology, and identifying key nodes, which is a prerequisite and basis for conducting efficient electronic countermeasures. However, under Non-cooperative conditions, for prior knowledge related to the target network is difficult to obtain, the communication relationships recognition faces enormous challenges. To address this issue, we construct a system model, analyze the mechanism of wireless communication interaction, extract feature series of signals from spectrum monitoring data, and propose a Transformer-based algorithm for recognizing target network communication relationships. This paper conducts simulation experiments in different scenarios to compare the Transformer-based communication relation recognition algorithm with the other four methods, such as SVM, CNN-based recognition algorithm, ResNet-based recognition algorithm, and LSTM-based recognition algorithm, respectively. And results demonstrate that the proposed algorithm shows high recognition accuracy, good anti-interference performance, and robustness.
Variational Quantum Process Tomography of Non-Unitaries

Quantum process tomography is a fundamental and critical benchmarking and certification tool that is capable of fully characterizing an unknown quantum process. Standard quantum process tomography suffers from an exponentially scaling number of measurements and complicated data post-processing due to the curse of dimensionality. On the other hand, non-unitary operators are more realistic cases. In this work, we put forward a variational quantum process tomography method based on the supervised quantum machine learning framework. It approximates the unknown non-unitary quantum process utilizing a relatively shallow depth parametric quantum circuit and fewer input states. Numerically, we verified our method by reconstructing the non-unitary quantum mappings up to eight qubits in two cases: the weighted sum of the randomly generated quantum circuits and the imaginary time evolution of the Heisenberg XXZ spin chain Hamiltonian. Results show that those quantum processes could be reconstructed with high fidelities (&gt;99%) and shallow depth parametric quantum circuits (d≤8), while the number of input states required is at least two orders of magnitude less than the demands of the standard quantum process tomography. Our work shows the potential of the variational quantum process tomography method in characterizing non-unitary operators.
Editorial Conclusion for the Special Issue “Measurements in Quantum Mechanics”

This Special Issue is devoted to the broad range of topics related to the problem of quantum measurements, which is as old as the modern concept of quantum mechanics [...]
Making of “JE-LI” Liquid Hand Soap to Prevent of Covid-19 Spreading

At pandemic of Covid-19, the government declare health protocol that diligently washing hand using soap to helping prevent Covid-19 spreading. The aim of devotion activity was giving of making “Je-Li’ liquid hand soap training to students n teachers of SD Negeri 29 Banyuanyara, kecamatan Sanrobone, kabupaten Takalar. This soap was reached by lime extract and aloe vera gel that affective as antibacterial and moisturizer. This activities consist of giving material and making soap training, the last, evaluate their understanding about the material and training with quiz. Our partner consist of 21 students of class six and 8 teachers. The result that they have understanding and skill to making liquid hand soap to keep clean of hand and to avoid Covid-19 spreading. &#x0D;
Effects of Teaching Writing Through Integrated Skills on Students’ Performance as Compared to a Non-Integrated One: A Case of Grade Eleven at Sekela Secondary School

This study's major goal was to determine whether or not teaching writing using integrated skills enhances students' writing as compared to instruction that is not integrated. Two sections of grade eleven from Sekela secondary school were used as the experimental and control groups in the study. Students in Section C were given writing lessons that were integrated and assigned to the experiment group. While students in section D, which served as a comparison group, were ready to study the usual writing lessons and exercises found in the student textbook. The primary tools used to gather information for the study were written tests. The study employed a pre-test and post-test quasi-experimental approach, with 96 English students divided into an experimental group of 48 and a control group of 48. Two groups each received pre-and post-tests before and after the intervention. An independent t-test was employed to compare the data. The results of descriptive and inferential tests were examined in order to determine whether there was a quantitatively significant difference in writing performance between the two groups. The results of the study showed that students who received writing instruction in an integrated fashion outperformed those who received it in a traditional manner in terms of writing performance.