Reviewerly/exHarmony huggingface dataset:
Perbedaan Kecemasan Menulis Siswa Berdasarkan Pengalaman Menulis

Indonesia is the 4th most populous country in the world after China, India and the United States. So that Indonesia is included in one of the developing countries in the world. However, in scientific publications, Indonesia ranks 48th in the world. This encourages researchers' interest in assessing the psychological condition of Indonesian university students in writing, because writing skills are not only cognitive but also emotional activities. The purpose of this study was to describe the anxiety conditions of students at MTs Negeri 2 Medan in writing and to examine the differences between experienced and non-experienced students. This type of research is descriptive, the research sample is 362 students consisting of 17.9% male and 82.1% female. The data was collected using a writing apprehension scale, consisting of 26 statements of anxiety about writing in general that were given online. The research data were analyzed using the Rasch model by testing variable maps, and subtotal specifications. The findings discovers that students who have never written will experience more writing anxiety than students who have had writing experience. In addition, teacher feedback is also one of the factors that influence students' writing anxiety, negative reactions by teachers and continuing to blame students will affect students' writing experiences in the future.
Persepsi Literasi Digital Mahasiswa Calon Guru IAIN Palopo

The process of holding education in the digital era presents its own challenges, especially for prospective teacher students, who not only have to master four basic competencies, namely pedagogic competence, professional competence, social competence, and personality competence, but also they are required to have digital literacy or mastery of technology and information competence. This study aims to measure the perception of digital literacy of prospective teacher students based on the four aspects of digital literacy competence proposed by Gilster, including aspects of internet searching, hypertext navigation, content evaluation, and knowledge assemblies. The method of this research was quantitative descriptive using survey method and purposive sampling technique with descriptive analysis, held on May-June 2022, the number of respondents was 436 students from the Tarbiyah faculty of IAIN Palopo. The results of the study illustrates that the perception of digital literacy of prospective teacher students of IAIN Palopo was in the high category. This research contributes in the form of information to the academic community related to the literacy level of prospective teacher students.
International Journal of Emerging Markets: a bibliometric review 2006–2020

Purpose International Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth anniversary, and the objective of this paper is to conduct a retrospective analysis to commensurate IJoEM's milestone. Design/methodology/approach Data used in this study were extracted using the Scopus database. Bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of a journal. Mapping of bibliographic data is carried using VOSviewer. Findings Study findings indicate that IJoEM has been growing for publications and citations since its inception. Four significant research directions emerged, i.e. consumer behaviour, financial markets, financial institutions and corporate governance and strategic dimensions based on cluster analysis of IJoEM's publications. The identified future research directions are focused on emergent investments opportunities, trends in behavioural finance, emerging role technology-financial companies, changing trends in corporate governance and the rising importance of strategic management in emerging markets. Originality/value To the best of the authors' knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJoEM. The study presents the key themes and trends emerging from a leading journal considered a high-quality research journal for research on emerging markets by academicians, scholars and practitioners.
Ipyannotator: the infinitely hackable annotation framework

Annotation is a task that associates semantic tags to a digital representation (image, video, text, and others).This process is important for supervised machine learning (ML) approaches, since the model learns, and successively improves, from data examples in form of input-output pairs.The variety of digital representations makes it difficult to develop a tool that is flexible and meets all requirements for machine learning applications in different projects.Ipyannotator is an open-source tool that allows manual annotation in multiple data formats, enabling researchers/users to explore, create, and improve their datasets without leaving their own development environment, and empowering them to extend and customize the annotation process.
Blockchain Technology for Reshaping Stock Exchanges: A qualitative exploratory study in Palestine

Purpose: This research aims to explore how to reshape stock exchanges by using blockchain technology with an emphasis on the case of the Palestine Exchange.Design/methodology/approach: This research gathered primary data from semi-structured and open-ended interviews.Online interviews were conducted to get information from professionals and academics interested in blockchain.The sample for this research was determined using convenience sampling and a snowball sampling approach.The data was analyzed using the deductive content analysis method.Findings: The research revealed that implementing blockchain is appropriate for third-world countries because it does not necessitate the construction of buildings or infrastructure.Additionally, the results showed that by implementing this technology, the Palestine Exchange will be able to speed up its liquidity cycle while also lowering costs, boosting transparency, allowing for the trading of new products, and attracting new investors.The legal and technological concerns, however, are not seen as impediments to the implementation of blockchain in the Palestine Exchange.Practical implications: The findings of this research will contribute to the growth of the Palestine Exchange.Originality/value: There has not been much focus in studies on Palestine in this context.This research aims to close the gap by investigating how blockchain might be used to reshape the Palestine Exchange.
The Application of ENG (Extended Newtonian Gravitation) to Wide Binary Systems

An Extended Newtonian Gravitation (ENG) model previously developed by the author for galaxies and galaxy clusters was applied to wide binary systems where an apparent missing mass problem was found from the Hipparcos and Gaia catalogue.The ENG model shows results consistent with the experimental values of the asymptotic velocity difference between the stars.MOND (as an inertial paradigm) failed to show its asymptotic behavior when its external field effect was considered.It had an almost Newtonian behavior for accelerations well below MOND's characteristic acceleration.The importance of reducing the uncertainty of the experiments concerning the velocity difference of the wide binary system is remarked because it could provide a solid way to confirm (or falsify) physical hypotheses concerning dark matter and non-Newtonian physics.
Correlation of BMKG with TRMM for daily and monthly rainfall series in Banten region

Daily and monthly rainfall data series are necessary data for planning purposes in Civil Engineering and other fields. Incomplete rainfall data often occurs, so that rainfall data must be estimated based on rainfall data from several other nearby locations. The addition of rainfall data can lead to inaccurate planning.&#x0D; Rainfall data used for planning in the civil engineering sector is usually taken from the BMKG station. This data is taken from the rainfall station above the ground. Besides, that can also produce rainfall data from TRMM. Can take rainfall data from TRMM at all locations according to a coordinate of location. This rainfall data denotes an average rainfall taken from the satellite approximately 250 meters above the ground surface.&#x0D; An equation will be obtained by comparing the daily and monthly rainfall data from the two data sources. Based on TRMM rainfall, we can use the equation to estimate ground rainfall in a location.&#x0D; In this study, daily rainfall, monthly rainfall, the spectrum of daily and monthly rainfall data from BMKG are compared with rainfall and the spectrum of daily and monthly rainfall data from TRMM. The analysis results show that the monthly rainfall data from TRMM and BMKG correlate better than daily rainfall data.
Reinforcement Optimization Algorithm for Mobile Robot Sensor Networks Drive Motion Improvement

This paper proposed four optimization algorithms for mobile robot sensor networks that improve the kinematics drive motion in a reference map environment. The standard procedure followed in mobile robot sensor measurements considers a problem statement for relating the sensor measurements with a reference map. The initial path shows that the existing methods lack consideration of more sensor points without considering the boundary constraints and obstacles. The probabilistic path map can be rearranged according to the current location to improve the better drive motion, as well as to obey the fundamental kinematics equations. he obstacle crossing led to the development of new algorithms. Implementation of schemes is achieved in different map environments, and the accuracy of results outperforms conventional methods by 84.21 % to 96.94 %.
Relaxed Formulations

This chapter deals with relaxed formulations of correlation clustering, i.e., formulations where some constraints of the basic formulation are discarded or required in a less restrictive form. This results in optimization problems whose feasible region is a superset of one of the basic correlation-clustering formulations.
Literature Survey Paper on Password Manager

Cyber Security has become one of the biggest developing fields in software engineering and the innovation business. Defective security has cost the worldwide economy colossal misfortunes. Whenever enormous security breaks occur, thousands to millions of passwords can be uncovered and put away into records, significance individuals are powerless to assaults. By and large, we utilize a great deal of passwords for our various records and recollecting every one of them is truly hard. A secret key is a series of characters which is utilized to really take a look at the genuineness of a client. These days, with the development of number of utilization each client utilizes, it turns out to be for all intents and purposes difficult to recall such countless complex passwords and reusing passwords on various applications isn't secure. This is where a secret phrase director comes into the image. A secret phrase chief is a completely safe vault where the client will actually want to save all the data, for example, usernames and passwords of various record he/she hangs on the web. Secret phrase directors safeguard the information that they store through encryption. It gives total protection to the client, lessens the weight of remembering various passwords and lifts your network safety. Greater part of individuals utilize extremely powerless passwords and reuse them on various sites. Secret phrase reuse is a not kidding issue due to numerous secret word releases that happen every year, even on enormous sites. At the point when your secret phrase releases, noxious people approach your accreditations and in the event that the secret word is reused they can get to every one of your records, they could utilize secret word reset connects to get to different sites like your web based financial record. To keep spills from being so harming you want to utilize exceptional passwords on each site. Retaining solid and special passwords is testing, subsequently individuals will generally reuse or record passwords on a piece of paper. To conquer this large number of issues we want a secret word director which is free from even a hint of harm. This undertaking is carried out utilizing visual studio code and the language utilized is HTML, CSS and JavaScript and Jquery, it is a module that must be nailed to your chrome.
ModalityintheSelectedContinentsAirlines’COVID-19Instructions:ACorpus-BasedStudy

Modal verbs are generally critical in expressing an opinion and assist in the depiction of future events.This work represents and analyzes the function and frequency of modal verbs used in airlines' guidelines during the COVID-19 pandemic.By employing a mixed-methods approach, the corpus was analyzed using Antconc 3.5.8.0.The data were categorized into six components, including ability, possibility, permission, prediction, acknowledgment, and obligation.The indings show that in African and Asian Airlines' instructions, modal verbs are used to share their opinion related to the instructions for the future.Also, indings reveal that 'can' and 'will' are used to predict possible events.Furthermore, indings show that in European airlines' instructions, the obligatory modal verb 'must' is used to enforce their instruction for better comprehension.Additionally, indings also show that Asian writers are more aligned towards using modal verbs than Middle East writers who are least concerned about using modal verbs.The most recurring modal verb used by the writers is their predictive modal verb 'will' and the obligatory modal verb 'must.'This study implies that readers should be conscious of the writer's stance marking since it may affect the mind and exploit ideas.
Hybridizing Ant Colony Optimization Algorithm for Optimizing Edge-Detector Techniques

Ant colony optimization is a swarm intelligent algorithm that mimics the ant behaviors to optimize solutions for hard optimization problems. Over years Ant-based algorithms have been used in solving different problems including: Traveling Salesman Problem (TSP), Wireless Sensors Network (WSN), Benchmark Problem, and it has been used in various image processing applications. In the image processing fields various techniques have been used to detect edges in a digital image such as Canny and Sobel edge detectors. This Study, proposed a hybridized Ant Colony Optimization algorithm for optimizing the edge detector quality. The proposed method initializes its attribute matrix and the information at each pixel routed by ants on the input image. Experimental results show the results of the proposed algorithm and compare the results with the original built-in MATLAB edge detection method called Canny and the results of basic Aco edge detector. All three algorithms tested in different images and the MSE and PNSR are calculated before and after applying Gaussian noise. Based on the Experimental results obtained by the three used methods (Canny Edge Detector, Ant Colony Optimization, and Hybrid Aco-Canny), the proposed Hybrid ACO-CANNY methods was the best method for detecting edges.
Accountings Students Following Test Certification Accounting Yunior Test In Indonesia

This study aims to prove the factors (economic motivation, career motivation, self-competence, degree motivation) that affect accounting students taking the certification test accounting junior in the accounting study program at the Panca Budi Development University, Medan. Type The data in this research process uses primary data where the data is obtained from several respondents virtually by using a questionnaire in the form of Google Forms (GForms). The population used in this study were all students of the study program accounting for the University of Development Panca Budi Medan with a 2017-2019 stamp of 1,564 student. The sample used was 150 students by using the Purposive Sampling. The test results in this study show: (1) economic motivation significant effect on accounting students taking the accounting junior certification test. (2) career motivation has no significant effect on students taking the junior certification test accountancy. (3) self-competence motivation has no effect on students taking the test accounting junior certification. (4) degree motivation has a significant effect on students following accounting junior certification test.
Politeness and Negotiation Strategies in Handling Customers: Conflict-Resolution

The study examines politeness strategies used by customers in raising issues and the negotiation strategies used by an organization to handle customers' problems in their official online discussion rooms.This qualitative study chose a mega-corporation technology organization's official discussion room.The researchers analyzed the discussions comprising questions, customer issues, and responses from the organization's personnel.20 online customer complaints posted via discussions.apple.comwere investigated using the components of politeness strategies and negotiation strategies used by the organization's personnel using the purposive sampling method.The results indicated the four politeness strategies used by the customers in the discussion room are apparent.The most frequent politeness strategy used by customers is positive politeness.Besides, it is also revealed that the four negotiation strategies from the responses of the organization's personnel in the discussion room are evident.The most frequent negotiation strategy used by the organization in handling the customers' issues is using a simple and accessible language strategy.The study concludes with recommendations on expanding the data sample and using other conventional online platforms in new areas for future studies of strategic politeness and negotiation in issue-solving.
Pendampingan Digitalisasi Manajemen Administrasi Sampah Di Desa Kertosari Kecamatan Purwosari Kabupaten Pasuruan

Garbage is the residue of human daily activities and/or natural processes in solid form (Depkes RI, 2008). Garbage has two special types, namely organic waste and inorganic waste. Waste not only has a negative value but also has a positive value if it is managed properly and according to its specifications. Based on the results of observations in Kertosari village, it can be obtained that knowledge about waste is still minimal. This is due to their improper waste management. They say that garbage is just used goods and the only way to deal with it is to get it out of sight, for example by throwing it away or throwing it in a landfill. Therefore, in this case we use the method of direct service to the community, namely by socializing the role of waste banks and helping digitize. The results of this observation, which are based on the potential and problems that exist in Kertosari Village, the application that is considered feasible to be applied at this time is the digitization of the administrative system only. With the reason, so that the administrative system can be more effective and efficient. As for the customer application, it still cannot be implemented because it is constrained by the age of the customer who dominates 50 years and over.
Analysis of Public Agenda during Covid-19 Pandemics Based on Turkish and English Tweets Using Nonnegative Matrix Factorization and Hypothesis Testing

In this study, Turkish and English tweets through Twitter Application Program Interface (API) between 1-31 January 2021 are analyzed with respect to Covid-19. The collected tweets are preprocessed, labeled with the Vader Sentiment library, and then analyzed by topic modeling with Nonnegative Matrix Factorization. The analysis show that the most frequently mentioned word is “vaccine/aşı” after “Covid”. The topics modelled in the study are grouped into themes and the themes are seen to be similar in both languages, which means that the Turkish and world agenda are not very different in terms of themes in pandemics. Moreover, hypothesis tests are conducted to understand whether language and time period are related to sentiment class. The results show that the Turkish people are more neutral about the Covid-19 issue than other people in the world during the given period of time. Moreover, independent of the language, there are more negative and neutral tweets in the first half of January 2021, whereas there are more positive tweets in the second half of the month. To the best of our knowledge, this is the first study to analyze Covid-19 related tweets in two languages to compare the local and global agendas using topic modeling, sentiment analysis, and hypothesis testing methods.
The Value of Creative Education in Training the Future Specialists in the Field of Creative Arts - Architecture, Interior Design, Fine Arts

Objective: The research presents the efficiency and importance of the studied theme, the capitalization of creative education through the interaction of arts and creation. Thus, creativity being the main statement that motivated this qualitative study coming to explain clear principles of formation of a modern personality, capable of continuous adaptation to the unpredictable challenges and conjunctures of life, which can be defined only through the prism of the process of creative development.Methodology: Our study focuses on the development and applicative role of creativity through all methods and forms of related arts: architecture, urbanism, interior design, visual arts, applied in the curriculum of the higher school of architecture in the Republic of Moldova, which have an important role in the moral formation of personality skills, of the specialist in architecture, a modern person who can easily integrate into the labor market.Findings: Finally, the flexibility of approach and implementation of creativity in the study program, demonstrates through our work through multiple examples of outstanding personalities formed within the higher school of architecture in the Republic of Moldova, who only through the strategy of creativity offered them a wide spectrum of professional affirmation activities and the opportunity to work in a preferred field.
Legal Regulation of Vocational Training of Specialists and Workers in the USSR (1984 – 1991)

The article is a continuation of a study devoted to the legal issues of the evolution of the system of training workers and vocational education in vocational schools in the Soviet Union. The legal foundations of vocational education in the late USSR have been researched. The author characterizes the normative foundations and organization of vocational training in connection with the implementation of the goals set in the middle. 1980s tasks of reforming the professional school.
"Smart MAV" Media Development Based on Direct Instruction in Learning Indonesian Speaking Skill

This research is conducted to produce and develop audio and visual learning media to improve students understanding of speaking skills. The media is in the form of Smart MAV based on direct instruction. The subject of this research is the students of Indonesian Language Education at Peradaban University. This research belongs to research and development (R&amp;D). This research uses the 4D model. They are: 1) define, 2) design, 3) development, and 4) dissemination. However, the result of this study is only at the development stage, which is product design and validation. Furthermore, data collection activities in this study were carried out through interviews, questionnaires, and observation. The data analysis used descriptive statistics. Based on the research, the result shows Smart MAV based on direct instruction is feasible and valid to use by the validators with a percentage of 93% (excellent), and the results of the material expert validation test with a rate of 83.21% (excellent). These results indicate that the developed media (Smart MAV) is feasible.