Reviewerly/exHarmony huggingface dataset:
CONDITIONAL SENTENCES IN DELIVERING A MESSAGE IN A NEWSPAPER

This study dealt with the using of conditional sentences in delivering a message especially in a newspaper. The purposes of this study was to describe the conditional sentences that occurred in the opinion texts and to derive the dominant category of conditional sentences in delivering a message in a newspaper then to reasoning why it was actualized in the way it was. This study conducted by using descriptive method with a qualitative approach. The data of this study were the opinion texts from the daily newspaper of The Jakarta Post. Determining, identifying, and analyzing were the steps in analyzing the data. The findings of this research show that all the types of conditional sentences are used in delivering the message in the opinion texts in The Jakarta Post. The using of conditional type I is 52,70%; type II is 14,19%; type III is 0,68% and 0 conditional is 32,43%. So from the findings it shows that the most dominant type that used in opinion texts in The Jakarta Post is conditional sentences type I. The findings of this study are very useful for the editors of newspaper in editing the news before it is printed. They need to know conditional sentences well in order to relate one clause to another clause in delivering the message so the information can be understood by the readers easily. By knowing the conditional sentences well it will be easier to know and to understand the message written down in the newspaper.
A Structural Equation Model of Perceived University Image in Qatar:

The aim of this research is to examine the factors that influence student perceptions of the image of Qatar’s national university, Qatar University. The study builds on relevant scholarship on perceptions of organizational image and explores institutional image perceptions in the state of Qatar. Based on data collected from a sample of 1427 students in Qatar, this study uses factor analysis in order to identify the variables that influence students’ perceptions of Qatar University. The findings of this study indicate that the way students perceive Qatar University is determined by four main factors: Quality of education, comparability of educational standards, the facilities and extracurricular activities provided, and graduates’ employability. The paper concludes with recommendations for institutional policy and future research. This piece of research has been published in August 2020 at the scopus indexed International Journal of Management (IJM).
Optimization of Literated Culture Through The Utilization of The Reading Area at SDN 3 Mojorebo, Wirosari District, Grobogan Regency

This study aims to describe 1) the efforts of the school to introduce a culture of reading 2) optimize the reading culture 3) obstacles in optimizing the use of the reading corner area 4) solutions to obstacles in optimizing the reading culture. The type of research used is qualitative research. The informants in this study were principals, teachers and children who had problems learning to read. Research results show that: 1) Efforts from the school to foster students' reading culture are conveyed by the principal by inviting publishers to provide choices of books to be given to students. 2) the benefits of reading corners provide a new atmosphere in the classroom, also when there is free time can be used to read. In addition, making students enjoy reading by being guided by the teacher. 3) Obstacles in optimizing literacy culture, namely the difficulty of fostering a reading culture early on. 4) Solutions in optimizing the culture of literacy, among others, the teacher provides reading books that are appropriate to the needs of students and try to add a collection of reading so that students do not get tired of reading in the reading corner
Design of Automobile Flow Detection System Based on Deep Learning

This design aims at the image processing problem in automobile flow detection, and designs an automobile image recognition system based on deep learning. The system architecture is divided into early image processing, neural network construction, and discriminant detection and correction. The dataset is a car library with tags. In image processing, Opencv is used as a medium to perform operations such as gradation and binarization. Images are recognized through deep learning. Continuously optimize the neural network to improve the recognition rate.
Features of the “Mechanical and electromagnetic waves” section in class 9 physical textbooks

The article deals with the methodical problem of realization of the content of the section «Mechanical and electromagnetic waves» in the textbooks for the 9th grade of the gymnasium. The concept of the section as a component of a comprehensive physics course for general secondary education institutions is substantiated.
BUDAYA PATRIARKI DALAM KUMPULAN CERPEN CERITA PENDEK TENTANG CERITA CINTA PENDEK KARYA DJENAR MAESA AYU

This study uses a feminist perspective with the aim of identifying the forms of patriarchy culture in a collection of Short Stories Cerita Pendek tentang Cerita Cinta Pendek by Djenar Maesa Ayu. This research is a type of qualitative research using descriptive analysis method. The data in this research are in the form of text which refers to the formulation of a problem about patriarchal culture in a collection of Short Stories Cerita Pendek tentang Cerita Cinta Pendek, while the source of data in this study is a collection of Short Stories Cerita Pendek tentang Cerita Cinta Pendek by Djenar Maesa Ayu published by Gramedia Pustaka Utama in 2016. The data validity technique in this study uses the validity and reliability test. The validity test used by the author is semantic or content validity oriented to the depth of the interpretation process, accuracy, broad and complete interpretation, and the accuracy of interpretation and description based on the analysis knife used. The reliability test used in this research is interrater which is done through the process of reading texts repeatedly with the aim to obtain constant and in-depth data. Data collection techniques are done by reading and note-taking techniques, while data analysis techniques are carried out through the stages of identification, classification, interpretation, and drawing conclusions. Based on the results of the study, in a collection of short stories Cerita Pendek tentang Cerita Cinta Pendek by Djenar Maesa Ayu, there is a patriarchal culture in the form of a father's power in the family and sexual sadism.
Prediksi Pendonor Darah Potensial Menggunakan Algoritma Learning Vector Quantitation (LVQ) (Studi Kasus : Unit Transfusi Darah PMI Kota Palu, Sigi Dan Donggala)

Potential blood donors are blood donors who can donate their blood back after success through 2 stages of blood donation such as the physical health test (active) and the screening test (laboratory test). The purpose of this study are to obtain an application that can be used to predict potential blood donors who will donate their blood back at the PMI Palu, Sigi and Donggala Blood Transfusion Units, and to obtain their level of accuracy using the Learning Vector Quantitation algorithm. This prediction application for potential blood donors makes it easier for the public to know whether they can donate their blood or not. Classification is done using 300 data consisting of 70% training data and 30% testing data. The data used in this study are data taken in 2018. The accuracy of the best weighting in stage 1 is 95.56% obtained using the training rate (α) of 0.1≤α≤0.25 and the rate reduction training (decα) which is varied. While the best weighting results in stage 2 have an average accuracy rate of 100% obtained by using a training rate (α) of 0.000001≤α≤0.5 and a reduction in the rate of training (decα) which varies.
Security of a New Hybrid Ciphering System

The protection of privacy is a very sensitive subject and comes into force in all areas.They represent the first priority in the development of new technologies.In fact, opt for a new Big data or IOT technology is a very difficult decision for organizations and calls into question the confidentiality, integrity, authenticity and non-repudiation of their data.Convincing these organizations to adhere to technological intelligence is tantamount to providing them with powerful tools and mechanisms of security that are resistant to new types of vulnerability.However, the problem today is that most security tools are based on old cryptographic primitives.Certainly; they have proved their resistance until today but the need to have others becomes crucial in order to meet the new technological requirements.In this paper, we propose a new hybrid encryption alternative based on two encryption systems, the first one is an evolutionary encryption system and the second one is based on an asymmetric encryption system.To present this work we begin with a description of our evolutionary cipher system.Then, we present the principle of proposed hybridization and its contribution compared to other existing systems.Finally, we perform a detailed study on the safety of this system and its longterm resistance.
Evaluation of self-directed learning skills of future engineers during the projects

The ability to recognize personal educational needs for and engage in life-long learning has been admitted as one of the key components of future engineers preparing future engineers to efficient professional selfactualization in the modern world.The mechanisms of formation of self-directed learning skills and their evaluation for engineering students are considered in the article.It is shown that the formation of self-directed learning skills requires the transition to student-centred learning activities, including project-based learning (PBL).Implementation of projects allows to diversify the students' learning activities and link with real engineering practice and helps to increase students' motivation and to develop teamwork and communication skills.The article describes the current experience of organizing of projects for engineering students of 151 Automation and Computer-Integrated Technologies speciality.During the interdisciplinary projects, students had developed the original software using knowledge and skills relevant to different disciplines, including «Applied Mechanics» and «Fundamentals of Design of Computer-Integrated Systems Software», and «Project Technologies».Evaluation of the level of self-directed learning skills development based on the results of the project activity was carried out using the self-directed learning readiness scale (SDLRS).The survey consists of the 50-questions questionnaire designed by using a 5-point Likert scale.The questionnaire consisted of the five groups of statements related to students 'perceptions of the learning process, students' strategies for learning, their role and place in the educational process, attitudes toward assessment and interpersonal qualities.The obtained quantitative and qualitative results show the validity of the scale which was used, in particular to identify activities that cause most crucial students difficulties during the project.It was shown the indicators of the level of self-directed learning skills formation and positions that cause major difficulties for Ukrainian engineering students are related to self-control domain.
Statistical Machine Translation Customization between Turkish and 11 Languages

Statistical Machine Translation (SMT) has been the dominant corpus-based machine translation (MT) approach in the last twenty years.While SMT has been studied in detail among European languages, it has not been studied sufficiently in language pairs including Turkish as source or target language, and its study has been limited mostly to English ↔ Turkish language pair.This study aims to broaden the perspective on Turkish corpus-based MT studies by training MT engines between Turkish and a wide variety of languages with different features.It surveys customized SMT between Turkish and 11 different languages.Twenty-two SMT engines have been trained in KantanMT with open parallel corpora using Turkish as both source and target language.Three automatic evaluation metrics F-Measure, BLEU, and TER have been used for evaluating MT quality.Due to the variations in the corpus quality and size, highly varying results have been achieved.While Turkish ↔ Catalan engines have had the highest automatic evaluation scores, Turkish ↔ Arabic engines have had the lowest automatic scores.While the quality results are highly varying across languages, we obtain baseline scores for a wide variety of languages coupled with Turkish.These results may provide a reference point for evaluating future MT systems including Turkish.
The Improving Of Higher-Order Thinking Skills As Information Filter For Alpha Generation

This paper's aim is to describe the strategy to improve the ability to think at a higher level for children currently in primary education. Children currently in primary education are children who are in the Alpha generation. This generation is certainly different from previous generations, especially in access to information. Even children holding a device in daily life is not a strange sight. This fact needs to be examined more about the balance in the speed of obtaining information and managing it. The more accessible access to information is, the expectation is children have a good filter for news or information that is classified as reasonable and vice versa, namely information that is classified as not making sense. The ability to filter this information is not easily obtained by every child. In other words, children need a stimulus to be able to think at a high level. The goal is that when children can think at a high level, then that ability is used as a weapon to gain the ability to filter information. In this paper, the focus of discussion is a strategy that should be taught by adults around the children to be able to be wiser in managing information. This research applies a qualitative approach with a literature study. The finding is the ability for the children to think at a higher level can improve with learning through contextual problems. This contextual problem is obtained from daily activities carried out by children
Multicultural Exposure through English Language Teaching:A Critical Discourse Analysis of an English Language Textbook in Indonesia

This study is explored the importance and the challenge of fathers' engagement in early years education in Indonesia.Previous research highlight that the fathers' involvement in children education could give positive feedback for both the father and the children.Participation of fathers in various children activities can promote fathers' awareness about their values towards their children.In Indonesia, the father presence at school remains invisible compared to the mother.Further, this exploration also found that the role of educator at school became one of an important thing to engage fathers' participation in their children education.Initiation of inviting fathers in children education needs to be started from the educators and teachers at schools.It is worth to consider for the school as an institution to learn how to engage fathers' participation in their children education in school-based and home-based activities.The study found that father with young children in Indonesia has a positive attitude towards their children's education.The domination of female presence in a children education setting is limiting fathers to participate in child education.Also, socio-culture, tradition, time limitation due to working hours, father's income, and education background of father affect fathers' involvement in child education.
TWEET CLASSIFICATION USING DEEP LEARNING ARCHITECTURE FOR CONCERT EVENT DETECTION

Twitter social media is used by millions of users to share stories about their lives. There are millions of tweets sent by Twitter users in a short amount of time. These tweets can contain information about an incident, complaints from Twitter users, and others. Finding information about events from existing tweets requires great effort. Therefore, this study proposed a system that can detect events based on tweets using the CNN-LSTM architecture. Based on the classification testing obtained precision results of 70.97%, and recall amounted to 63.76%. The results obtained are good enough as a first step to detect events on Twitter.
Development of trainer sensor as media learning control systems for engine cadets at Merchant Marine Polytechnic Surabaya

The purpose of this research designed to: (1) develop sensor trainers that fit the needs of control system subjects (2) develop sensor trainer with good performance, and (3) test the feasibility of sensor miner as media learning for control system learning at Surabaya Merchant Marine Polytechnic. This study was a Research and Development (R&amp;D) in the field of education. The development research model used was ADDlE: Analysis, Design, Development, Implementation, and Evaluation. The instrument used in this study was questionnaire with four options answer of Likert scale.&#x0D; The validity test of instrument carried out by consultation section with material experts and media experts. Instrument reliability calculated using alpha formula and produced a reliability value of 0.87 (very reliable). There are three aspects measured at this implementation stage, aspects of material quality, media operations, and learning aspects.&#x0D; The results obtained for quality of material got a percentage of 78.76%, for media operations got 68.77%, and for learning got a percentage of 76.35%. Of the three percentages, a total percentage of 76.62% was obtained, so that the media trainer censor was declared feasible to be used as a learning media for the control system course after the feasibility test was conducted by the user.
WEBOMETRICS RANKING OF UNIVERSITIES AS A FACTOR OF GAINING COMPETITIVE ADVANTAGE IN THE MARKET FOR EDUCATIONAL SERVICES

Being a “window on the world”, the official website of an educational institution is among the most important means of promoting its activities, thus increasing its competitive advantage in the market for educational services. Providing a framework for efficient marketing, the functioning of the official website of a higher educational establishment represents a format of public relations, the outcomes of which depend heavily upon numerous factors. Presenting unbiased assessment of a university’s image formalised in terms of officially approved procedures is crucial for winning a respective market share. The Webometrics Ranking of World Universities (also known as Ranking Web of Universities) represents validated data that must not be overlooked by both website administrators and those interested in evaluating a university’s image. Though taken with a great deal of scepticism by some universities, webometrics ranking nevertheless can make the difference when it goes about sprucing up a university’s image and successful appealing to its target audience.&#x0D; The research work considers the issue of representing global rankings of educational institutions on their official websites as an element of marketing policies devised with the view of gaining a competitive advantage in the global educational space. It is highlighted that university ranks are based on applying diverse criteria and indicators as well as measuring respective values. Criticised are dishonest practices of providing false information aimed at increasing ranks of some educational establishments. The measuring indicators (availability, visibility, transparency (or openness), and excellence (or scientific character)) are analysed based on cybermetric data of research findings obtained by bibliometric methods.&#x0D; The authors elaborated a set of recommendations as for increasing the efficiency of university website functioning. The key point is to comprehensively select, verify, present and expand contents of a website. It is highlighted that information on the official website of a higher educational establishment should reflect the whole range of educational, scientific research and administrative activities carried out by the academic staff and students. Blended together, they represent the business reputation of the university, which includes its reputation, prestige, partnering relationships, business contacts etc. The authors share their experience in implementing the above measures at Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University.
Drift-free tracking via the construction of an effective dictionary

Template dictionary construction is an important issue in sparse representation (SP)-based tracking algorithms. In this article, a drift-free visual tracking algorithm is proposed via the construction of an effective template dictionary. The constructed dictionary is composed of three categories of atoms (templates): nonpolluted atoms, variational atoms, and noise atoms. Moreover, the linear combinations of nonpolluted atoms are also added to the dictionary for the diversity of atoms. All the atoms are selectively updated to capture appearance changes and alleviate the model drifting problem. A bidirectional tracking process is used and each process is optimized by two-step SP, which greatly reduces the computational burden. Compared with other related works, the constructed dictionary and tracking algorithm are both robust and efficient.
Interactive Tools in Online Education

The purpose of the article is to consider problems associated with the lack of the opportunity to conduct classes in full-time, research and analysis of the means for conducting and monitoring distance (online) training, determining the main criteria for choosing software and the general algorithm for conducting classes using modern interactive tools – webinars.The research methods are the platforms analysis that can be used as interactive tools for online learning, an overview of the types of modern learning and the synthesis of a general algorithm for conducting virtual consultations.The novelty of the study is the proposed algorithm for conducting webinars, which includes all the main stages of preparing and conducting online meetings, analysis of the training types, analysis of platforms for conducting online conferences.Conclusions. The technology of webinars implements the principle of interactive elements, which can be applied to the “speaker – participant” model. The preparation and conduct of a webinar is a routine process on which its results depend. To do this, you must perform a certain sequence of actions, which is given in the article. Interactive systems in online education are compatible with many organizational forms and teaching methods, which are widely used in educational activities. The proposed algorithm covers all stages of webinars in order to simplify the learning process.
Breastlight: A breast self-examination device

Breast disorders are very common amidst women.Among the breast disorders, breast cancer is the second leading cause of death among women.Breastlight is a valuable tool to a women's breast awareness particularly during the period from one mammogram to the next.This is a handheld device helps in finding an abnormalities in breast and women can assess any unusual changes in their breasts frequently at home itself.It is not a diagnostic device but it can triggers the users to consult health care facility sooner than later and enhances the possibility of successful treatment thereby expected to reduces the mortality due to breast cancer.