Reviewerly/exHarmony huggingface dataset:
Analisis Kesalahan Ejaan pada Penelitian Karya Ilmiah Mahasiswa

The purpose of the study was to describe the use of punctuation in scientific works of students of the Language Education Study Program and Indonesian Literature, Muhammadiyah University, Tangerang. The research carried out is qualitative descriptive research. The object of research is a student's scientific work Indonesian Language and Literature Study Program semester VI with data and sources data in the form of research paper assignments. Data collection using studies documentary. The data analysis technique used is descriptive qualitative. Results research shows errors contained in student paper research in the form of using the wrong punctuation to cause ambiguous sentences.
THE ANALYSIS OF EMILY DICKINSON’S LIFE BACKGROUND ON THE INTROVERT AND EXTROVERT FOUND IN HER POEM ENTITLED “BECAUSE I COULD NOT STOP FOR DEATH"

This research was aimed to revealed the analysis of Emily Dickinson’s life background on the introvert and extrovert found in her poem entitled “Because I Could Stop for Death”. The method on this research was qualitative descriptive. The techniques of data collection used documentation, close reading, identification, classification, and note taking. The techniques of data analysis used the interactive model namely data reduction, data display, and conclusion drawing or verification. The analysis of “Because I Could Not Stop for Death” by Emily Dickinson’s used theory personality of Jung G Carly, especially concerning in Introvert and Extrovert. The poem contains six stanzas. In every stanza there are four lines. The conclusion of this research was the total of Introvert were found 5 and total of Extrovert found1. In other words the general problem of this study had been answered.
SISTEM APLIKASI LAYANAN ADMINISTRASI DESA BERBASIS ANDROID

Population service is one of the most important tasks in a government agency such as a village, especially in a modern era like today, demands for accurate information that is obtained quickly and easily. Bareng Village is a village with a population of approximately 2,655 people, thus the administrative service process for letter application services can cause queues and does not rule out the possibility of typing errors in the applicant's identity in the submitted letter. This can also cause delays in processing letters and can hinder the issuance of letters, because the number of village employees on duty is limited to only a few people, while the number of letter applicants exceeds the working capacity of village employees. To overcome this problem, it is necessary to have a village administration application that can help service letter requests for the community to be faster and more accurate. In this study, an android-based Bareng village administration service application was built. This research uses a systems approach method, namely the Rational Unified Process (RUP), and the system development method uses the UML method. The results of this study are the application of Bareng village government administration services that can make it easier for residents to get information about the village and provide information on the status of completion of certificates, as well as appropriate village inventory data
Digitilization of academic libraries, a response to the blended mode of teaching in private higher learning institutions in Africa

Academic libraries are being encouraged to digitalize their services. This idea has been supported with the advent of COVID-19 where health measures are encouraging social distancing and avoiding hand to hand distribution of documents and the limit of face to face contacts. Encouragement is being made to have a full online lectures or blended mode of teaching where there is a mixture of face to face with online courses. The main challenge in this process is that most of core books related to academic courses in libraries are in printed format and accessible only by visiting the library.It is to note that private higher learning institutions in Africa are still facing challenges related to inadequate resources as they do not get governmental finance support. This study aims to review literature on the role of digitalization of academic libraries as a response to the blended mode of teaching. The objective of the study is to investigate challenges faced by academic libraries in private higher learning institutions in Africa that limit them to satisfy their users’ needs through digitization of the library and to propose strategies that can be adopted in order to overcome those challenges. Literature reviewed found out that: The digitalization of library has a great role to play on library users’ needs satisfaction; That academic libraries are facing challenges during the digitalization process, challenges that limit fully adoption the use of internet and the digitalization of libraries in order to satisfy library users’ needs.The study recommends: the managementto avail adequate resources to libraries; hiring new personnel and deploying/retraining existing staff in ICT related to library digitalization; Training of library users on the access and use of digitalized library resources; To embrace new technology and move from printed documents accessed physically to digitalized documents accessed through internet in order to meet the users’ needs satisfaction in the age of digitalization of education.
Modern Academic Library’s User’s Competency in Reading: Paradoxes of Changes

The article briefly describes a role of educational institution of higher education students’ competency in reading in the context of pursuing educational goals. Russian and English-language researchers’ views on reasons of low quality of academic and professionally aimed reading among young people are analyzed. Some factors of unacceptably poor effectiveness of search, selection, interpretation of information undertook by students individually are considered, as well as factors of improper use data took by students from published documents for handling of applied problems. Personally and professionally meaningful consequences of lowering of students’ competency in reading are listed. The authors argue an idea about throwing library specialists at the problem of developing students’ competency in reading through pedagogic technology.
The Development of “Poster Equipped with Video (POSEVI)” on Fluids at Rest Topic for 11th Grade Students

This study aims to develop products such as “Poster equipped with Video (POSEVI)” that worth to used as a physics learning media for high school students with fluids at rest material. POSEVI is an educational poster equipped with educational videos, so the students shall receive visual learning (through poster) and audio-visual learning (through video). The videos contained by POSEVI can be accessed by scanning QR Codes printed on the poster. POSEVI was designed by using the research &amp; development method that looked up to the ADDIE development model. At the beginning of this research, the need assessment questionnaire had shared as early research. In the Design stage, we should have inserted the material and contents into the poster and video. Then, in the Develop stage, POSEVI was validated by expert validators to learn how feasible the product is according to the result from expert validators. By the implementation stage, the field test was conducted limitedly by involving the XI grade students to learn about POSEVI’s feasibility as a learning media after revising and correcting from the expert validator. The final of this research is an evaluation by revising that one may accomplish POSEVI as physics’ learning media compatible with students.
Nursing Assistance for the Hypertensive Elderly: Reflective Approach to Self-Care

Systemic Arterial Hypertension (SAH) is characterized by high levels of blood pressure in the arterial vessels. Orem's theory of self-care has become an important tool for the prevention of diseases and reduction of morbidity and mortality due to this cause, considering the extrinsic and modifiable factors of the disease. This study aims to reflect on the nursing care of hypertensive elderly people, based on Orem's theory of self-care. This is a study with a qualitative and descriptive approach, theoretical-reflective, from the perspective of Dorothea Orem's theory of self-care. The SciELO library, BDTD and BDENF databases were used. The search period was from February to May 2022, with time delimitation from 2017 to 2022. To guide the search, the DeCS/MeSH were applied: ¬"Nursing Theory OR (Health of the Elderly AND Hypertension OR Nursing Theory" in SciELO and "Nursing Care" OR "Elderly" AND "Nursing Theory" AND "Aging" in BDENF and BDTD, associated with the Boolean operators AND and OR. According to the eligibility criteria, 27 articles were included in this theoretical-reflective study. Orem considers self-care, the execution of actions that the individual initiates and executes in his own interest, in order to maintain life, stay healthy and in function of well-being. Therefore, to make a difference in nursing care to the elderly with SAH, it is essential to connect knowledge from nursing theories, research and clinical practice. As well as, to reflect on the practice of self-care by the elderly, understanding whether it is necessary to intensify the development of research on the subject investigated.
Equivalence Errors in Google Translate-Based Translation Results of Informative Text by Students of German Literature Department

This research aims to describe the errors made by students when translating the informative text using Google Translate and to describe the role of Google Translate in the translation’s process. In this study, the two data were (1) the words and phrases containing equivalence errors in the translation results by the students and (2) the students’ statements showing the role of Google Translator in the translation’s process. The results showed that the students made two errors in translating the informative text, namely (1) misinterpretation and (2) non-equivalent context. Regarding the role of Google Translate, the student considered it as a helpful tool in the translation process. They stated that Google Translate helps in providing an overview of the source text and can reduce the translation time. The result showed that Google Translate can give an overview of the meanings of the source language but doesn’t shorten the translation time.
Implementation Analysis of Municipal Solid Waste Management in Dinanagar City of Punjab, India

Unscientific waste management is increasingly becoming a major reason for environmental issues in Indian cities. Unlike previous municipal solid waste management in cities of Punjab (India), this study analyses the implementation of solid waste management. Also, examine the factors responsible for the dysfunction of the municipal corporation of Dinanagar (MCD) city of Punjab (India). To fulfil the research objectives, primary and secondary data are collected from various sources for qualitative and quantitative analysis. However, some drawbacks and flaws were found in the existing practices of Municipal Solid Waste Management. The internal consistency and validity are measured using Cronbach’s alpha. The importance- performance analysis and Strengths, Weaknesses, Opportunities, Threats analysis is performed to conclude the present scenario of MCD. This study is eventually concluded with some suggestions to waste managing authorities and researchers for contribution in improvement of current system.
Economic Potentials and Nigeria’s Sustainable Economic Growth Nexus: The Role of Institutional Quality

Nigeria is endowed with diverse human and natural resources that has the potential to transform the country to become a major player in the global economy and put it on an unimpeded growth. However, these potentials have relatively remained untapped over the years and have not translated to high level of sustainable growth and development in the country. The study employs an econometric methodology. The Ordinary Least Squares (OLS) method was used to analyze the data from 1999 to 2021. The regression results revealed that the coefficient of NR, IQ and HDI indicates an insignificant and negative slope meaning that the economic potentials of Nigeria have not really impacted on economic growth for the period under study. The study recommended among others the need for diversification and value chain integration, provision of legal backing to development plans/projects and promote functional expertise and meritocracy in leadership recruitment/selection
Analysis of English Teachers’ Strategies and perception in Teaching Speaking Online at SMPN 1 Sengkang

The purpose of this study was to identify the teaching methods used by the English teachers at SMP Negeri 1 Sengkang and how the students perceived those methods. Sengkang served as the location, and a qualitative research design was applied. Three instruments were used in this research, which was a total purposive sampling. The first was an observation checklist for teachers who are instructing online learning. (2) interviewing teachers to learn about their tactics, and (3) interviewing students to see how they view teachers' strategies The study's findings showed that: 1) Three different teaching methods were used by the teachers in online instruction. There were discussions, stories, and dialogues. Because it is based on a manual and is simple to practice online, teachers adopt this technique. Other tactics are occasionally employed by teachers, but they are uncommon because they are ineffective while teaching online. 2) The study's findings demonstrate that all of the teachers' online learning tactics were supported by students' perceptions of those strategies. Students believed that using the tactics in online learning was successful in assisting them in understanding the subject matter. Additionally, pupils are engaged and readily understand the subject when it is presented through the teacher's chosen media.
Effect of the initial population construction on the DBMEA algorithm searching for the optimal solution of the traveling salesman problem

There are many factors that affect the performance of the evolutionary and memetic algorithms. One of these factors is the proper selection of the initial population, as it represents a very important criterion contributing to the convergence speed. Selecting a conveniently preprocessed initial population definitely increases the convergence speed and thus accelerates the probability of steering the search towards better regions in the search space, hence, avoiding premature convergence towards a local optimum. In this paper, we propose a new method for generating the initial individual candidate solution called Circle Group Heuristic (CGH) for Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA), which is built with aid of a simple Genetic Algorithm (GA). CGH has been tested for several benchmark reference data of the Travelling Salesman Problem (TSP). The practical results show that CGH gives better tours compared with other well-known heuristic tour construction methods.
FastContext: Handling Out-of-Vocabulary Words Using the Word Structure and Context

Languages are dynamic, and new words or variations of existing ones appear over time. Also, the dictionary used by the distributed text representation models is limited. Therefore, methods that can handle unknown words (i.e., out-of-vocabulary – OOV) are essential for the quality of natural language processing systems. Although some techniques can handle OOV words, most of them are based only on one source of information (e.g., word structure or context) or rely on straightforward strategies unable to capture semantic or morphological information. In this study, we present FastContext, a method for handling OOV words that improves the embedding based on subword information returned by the state-of-the-art FastText through a context-based embedding computed by a deep learning model. We evaluated its performance using tasks of word similarity, named entity recognition, and part-of-speech tagging. FastContext performed better than FastText in scenarios where the context is the most relevant source to infer the meaning of the OOV words. Moreover, the results obtained by the proposed approach were better than the ones obtained by state-of-the-art OOV handling techniques, such as HiCE, Comick, and DistilBERT.
Abusive Language Detection on Social Media using Bidirectional Long-Short Term Memory

Social media has allowed anybody to share their opinions and engage with the general public, but it has also become a platform for harsh language, cruel conduct, personal assaults, and cyberbullying. However, determining whether a comment or a post is violent or not remains difficult and time-consuming, and most social media businesses are always seeking better ways to do so. This may be automated to assist in detecting nasty comments, promote user safety, preserve websites, and enhance online dialogue. The toxic comment dataset is utilized in this research to train a deep learning model that categorizes comments into the following categories: severe toxic, toxic, threat, obscene, insult, and identity hatred. To categorize comments, use a bidirectional long short-term memory cell (Bi-LSTM).
The Use Mobile Learning Game on Students' Self-Regulated Learning in Vocational High School

Facilitating self-regulated learning for students has become a concern in the current covid pandemic. The digital platform is a learning solution that educational institutions currently use. This paper focuses on using mobile-based games for students' self-regulated learning. The application has been tested on media experts, materials, and media trials for students. An effectiveness test was carried out to determine the effect of games on students' self-regulated abilities. The findings showed that mobile-based games positively affected students' self-regulated learning. The analysis found a significant difference between the students' pretest and posttest scores. This finding also shows that mobile games can improve students' self-regulated learning. Keywords: Mobile learning game, Self-regulated learning, Vocational high school.
丹戎布拉大学师范教育学院汉语教育专业 2020 届学生学习口语课的问题分析

ABSTRACTSpeaking is a person's ability to say words to convey thoughts to others. Speaking is also a means of communication between social beings. In teaching and learning activities, one's ability to speak or convey ideas is also needed both with classmates and with the teacher. Teaching and learning process activities will not be separated from various learning problems. One of them relates to problems in the learning process of conversation courses. To understand the problem factors in the conversational course learning process for 2020 students at FKIP Tanjungpura University, the author uses quantitative research methods, namely research methods that use data analysis to find out the problem factors in the conversational course learning process. The results of the study stated that the problem in the learning process of conversational subjects faced by students was that students were afraid to answer questions from the teacher, students were often reluctant to express their opinions to their classmates during the discussion. Another factor of the problem in the learning process of conversational subjects is the mental attitude of students, namely panic, nervousness, fear and insecurity. Students often feel insecure to answer questions given by the teacher. The percentage of the problem factors in the learning process of thes conversation course are; Mastery of Language Competence 48.98%, Mental Attitude 60.26%, Interaction Relationship between Teachers and Students 63.60%, and Interaction Relations between Students and Students 62.50%.Keywords: Conversations, Learning Process, Problems
Prudens: An Argumentation-Based Language for Cognitive Assistants

In this short system paper, we present our implementation of a prioritized rule-based language for representing actionable policies, in the context of developing cognitive assistants. The language is associated with a provably efficient deduction process, and owing it to its interpretation under an argumentative semantics it can naturally offer ante-hoc explanations on its drawn inferences. Relatedly, the language is associated with a knowledge acquisition process based on the paradigm of machine coaching, guaranteeing the probable approximate correctness of the acquired knowledge against a target policy. The paper focuses on demonstrating the implemented features of the representation language and its exposed APIs and libraries, and discusses some of its more advanced features that allow the calling of procedural code, and the computation of in-line operations when evaluating rules.
Tinjauan Capaian Pemenuhan Standar Tenaga Pendidik dan Tenaga Kependidikan Berdasarkan Standar Nasional Pendidikan di Kabupaten Tolitoli

The purpose of this paper is to describe the data and information and views on the condition of the standard achievements of educators and education personnel in Tolitoli District. This research applies qualitative research approach descriptively, using survey method, respondents as many as 36 people spread in six subdistricts in Tolitoli district, sampling with Purposive Sampling technique. The results of research, standards of educators and education personnel consist of academic aspects and competencies of educators and education personnel. The results of the questionnaire by 36 respondents consisting of high school education level obtained an average score of 3.5 from the ideal score of 4, achievement of 86.4% categorized very well. At junior high school level obtained an average score of 2.9 from the ideal score of 4, achievement of 71.3%% is categorized quite well. At elementary school level obtained an average score of 29 from an ideal score of 4, achievement of 73.7% is categorized quite well. In conclusion, overall, each level of education meets the achievement of the standards of educators and education personnel in accordance with the national standards of education with a fairly good category.&#x0D; &#x0D; Keywords: Achievement of National Standards, Educators and Education
MAPFASTER: A Faster and Simpler take on Multi-Agent Path Finding Algorithm Selection

Portfolio-based algorithm selection can help in choosing the best suited algorithm for a given task while leveraging the complementary strengths of the candidates. Solving the Multi-Agent Path Finding (MAPF) problem optimally has been proven to be NP-Hard. Furthermore, no single optimal algorithm has been shown to have the fastest runtime for all MAPF problem instances, and there are no proven approaches for when to use each algorithm. To address these challenges, we develop MAPFASTER, a smaller and more accurate deep learning based architecture aiming to be deployed in fleet management systems to select the fastest MAPF solver in a multi-robot setting. MAPF problem instances are encoded as images and passed to the model for classification into one of the portfolio's candidates. We evaluate our model against state-of-the-art Optimal-MAPF-Algorithm selectors, showing +5.42% improvement in accuracy while being 7.1× faster to train. The dataset, code and analysis used in this research can be found at https://github.com/jeanmarcalkazzi/mapfaster.