Reviewerly/exHarmony huggingface dataset:
How Mentally Disabled Students Solve Difficulties on Learning English Vocabulary: Technology-Based Learning Material

This study is aimed to develop technology-based learning material to address the English vocabulary learning difficulties of mild mentally disabled students in Sekolah Luar Biasa (Public Special School) 2 Yogyakarta, Indonesia. Specifically, it seeks; the learning difficulties of mentally disabled students in English vocabulary, intervention measures can be proposed based on the identified problems, technology-based learning material can be developed, and curricularly valid technology-based learning material. The research method was qualitative research with instruments used were interviews, observations, and documents supported by curricular validation in statistical terms to check the research product's appropriateness. This research also used descriptive analysis as a method in seeking an interpretation of the data. This research objects were the mild mentally disabled students of 7C consisting of five students; two females and four males (thirteen to seventeen years old). Those were BAA, MA, MRA, MRZ, and ADS. These research findings are that mentally disabled students face more complex problems such as reading (pronouncing) very short and simple English, writing the vocabulary (syllables), and mentioning numbers in English. Besides, intervention measures such as visual aids, concrete objects, and endless practice drills in pronunciation, spelling, and phonetic sounds are useful to increase mastery in English vocabulary. Audio-visual clips aided by technology can promote better recognition of objects, comprehension, and retention. The learning materials developed by the researcher named “Learn English” is very evident in the following criteria: the content learning video clips with the average weighted mean is 4.76. The structure of the video with an average weighted mean is 4.76. All interpreted as very evident.
Hubungan Keterlibatan Berorganisasi dan Kemampuan Berpikir Kritis dengan Prestasi Akademik Mahasiswa Ilmu Kesejahteraan Keluarga FPP UNP

The purpose of this study was to analyze the relationship between organizational involvement and critical thingking ability with academic achievement of FPP UNP Family Welfare students. This type research is a quantitative. The technique of data collective is using questionnaire with “Likert Scale” measurement. The analysis of data is using descriptive analysis and correlation. The result showed (1) There is a positive and significant relationship between involvement in organizing with academic achievement of FPP UNP Family Welfare Students in the category of strong enough, (2) There is a positive and significant relationship between critical thingking ability with academic achievement of FPP UNP Family Welfare Students in the category of strong enough, and (3) There is a positive and significant relationship between involvement in organizing and critical thinking ability with academic achievement of FPP UNP Family Welfare Students in the strong category.
PENINGKATAN SISTEM INFORMASI KAS PADA PERUSAHAAN (STUDI KASUS PADA PT. MEGA JAYA CONSTRUKSI DI BANTAENG)

The purpose of this study was to determine the Cash Information System Analysis at PT. Mega Jaya Construction in Bantaeng. Researchers use a comprehensive research design that is research that examines something that is broad and complete, covering all aspects. Researchers measured and analyzed the Analysis of the Accounting Information System (SIA) Cash Receipt Cycle at PT Mega Jaya Kontruksi in Bantaeng by presenting an analysis of data from the cash receipts system. From the analysis of research data and discussion it is known that Cash Information System Analysis at PT. Mega Jaya Construction in Bantaeng did not go according to theory. This is because evidence is found that some functions are still concurrently or combined to minimize the company's operational costs and the recording of accounting records is still incomplete and not in accordance with the theory.
Review of some existing shariah-compliant cryptocurrency / Ahmed Aliyu … [et al.]

Cryptocurrency has emerged as the most promising digital asset, which serves as a medium of exchange with distributed control and highly secured financial system. This lead to an increase in stakeholders’ interest in digital currency investment. The cryptocurrencies majorly involve two phases including Initial Coin Offering (ICO) and blockchain creation. These phases have been challenged with criticisms in terms of the Islamic shariah injunctions. These criticisms are based on two fundamental issues including whether cryptocurrency is backed by asset and has a regulatory authority or not. These issues are related to uncertainty, volatility and high speculation of the cryptocurrencies. Although, several cryptocurrencies claimed to have considered the shariah requirements in their proposed cryptocurrency ecosystems. However, a strict analysis of some of the existing cryptocurrencies reveals otherwise. Therefore, this paper presents a review of some shariah-compliant cryptocurrencies focusing on their volatility and speculation. The operations of cryptocurrencies need to follow the Islamic shariah requirements. The proposed review provides an insight regarding the acclaimed shariah-compliant cryptocurrencies to assess whether they comply with the shariah requirements or not.
Causal Relationship among Expectation-Value, Deliberate practice and Grit of High School Taekwondo Players

The purpose of this study was to investigate the causal relationship among expectationvalue, deliberate practice and grit of high school Taekwondo players. To this end, high school Taekwondo athletes residing in Seoul and Gyeonggi area were selected, and 350 people were selected as the population. Data from 37 of the collected data were excluded due to inconsistent responses. Therefore, the data of 313 people was used for a final analysis. For the collected data, confirmatory factor analysis, descriptive statistics, correlation analysis, and structural equation analysis were performed using jamovi 1.1 and AMOS 23.0 programs. The following results. First, expectation of success was found to had a positive (+) effect on deliberate practice. second, subjective value had a positive (+) effect on deliberate practice. Third, deliberate practice was found to had a positive (+) effect on grit. fourth, expectation of success was found to had a positive (+) effect on grit. fifth, subjective value was found to had a positive (+) effect on grit.
Impact of the COVID-19 pandemic on the life habits of the nursing staff working in intensive care units of hospitals in the city of Campos dos Goytacazes-RJ

The COVID-19 pandemic remains a major public health challenge. Most patients infected with the SARS-CoV2 virus are critical patients requiring admission to intensive care units (ICU) and qualified nursing care. However, the experiences of nurses from China and Italy showed that one of the biggest obstacles in the care of patients with the disease occurred within the scope of the organization of trained and qualified teams, staff dimensioning, management of supplies and equipment, and attention to the mental health of these professionals. Faced with this pandemic scenario, professional nurses face important challenges concerning care and the quality of nursing services in intensive care. The objective of this research will be to identify the impact caused by the COVID-19 pandemic on the life habits of professionals from the Nursing teams who work in the Intensive Care Units in the municipality of Campos dos Goytacazes-RJ. This is a cross-sectional study to be carried out between October and December 2021. Data collection will be carried out through an online questionnaire (Google Forms®) whose sample will consistof professionals from the Nursing teams (nurses and nursing technicians), working in the Intensive Care Units of Private and Public Hospitals in the city of Campos dos Goytacazes-RJ. Subsequently, the data obtained will be analyzed using descriptive statistics in the SPSS® software. This study aims to contribute to improving the quality of life and health of nursing professionals working in ICUs and, consequently, the quality of care and patient safety. Furthermore, it is expected that the results corroborate the need to implement health protection strategies for these professionals in the context of the pandemic.
Devanagari Characters Strings Extraction using Morphology Method of Images

The extraction of alphabetic characters from images has gained significant prominence in various applications and fields such as automatic text detection, handwriting recognition, cyber analysis, etc. Although, a large volume of work exists on this topic with respect to foreign languages, the research focusing on Devanagari script characters has been rather limited. The extraction of text from images itself poses challenges that are related to images which contain these texts due to the composition of images which can be composed of the characters themselves and significant clutter in the background viz. noise, photo, textures, gradients or painting etc. In this paper, we employ text extraction method based on highly popular connected components technique for the purpose of extracting Devanagari text from natural scene images by employing morphological operations. The method employed is vigorous pertaining to font size and colour. The outcomes of the algorithm employed in this paper demonstrate that this method extracts the image text in a very effectual way.
The role of group dynamics in creating a developing educational environment of a university

The transition to an individually-oriented educational paradigm and the freedom to choose individual learning trajectories leads to the underestimation of students’ teamwork and group dynamics. The study addresses current issues in the implementation of team-building methods and technologies that have not been adequately addressed in the scientific didactic literature. Since at the present stage of its development society faces the need for specialists who able to positively and effectively adapt and interact in a work team, propose constructive ideas, and work in teams, more broad and diverse use of group forms of learning in the higher education system is needed. The article discloses the specifics of the group approach to education. Teamwork contributes to the development of personal and social and group growth and self-realization and strengthens value orientations in the formation of a humanistic worldview which, in turn, is aimed at the sustainable development of society. Such competencies include team competencies that involve the ability to solve interdisciplinary problems. The formation and development of such competencies take place in the context of teamwork. In the context of group dynamics, a student is responsible for reaching their own goals and shares the responsibility for achieving the goals of the team. A student team, in turn, is an environment where each of its members grows professionally and develops personally according to their individual trajectory of success. Theoretical analysis of group development and experimental education prove the effectiveness of group work. Group dynamics provide students with the opportunity not only to be creative but also to create a positive atmosphere and team spirit in the group.
Embracing the data economy: what is at stake for legal academia?

The proliferation of data economy, which makes as a backbone the empowerment of big data, computing technology as well as automated decision making, leads to an unprecedented innovation of law-making and law-enforcement processes. The notions of digital courts, Artificial Intelligence-empowered judgment, and the use of facial recognition technologies in the fight against crimes and terror, for examples, may challenge the established principles of rules and laws that had been adopted today. What seems to be a fantasy of the past, may now be a reality of today. For over a century, Muhammadiyah as a modern Islamic movement has proved to be a sustainable organization across changing social and political landscapes. As a learning institutions too, Muhammadiyah keeps on being relevant by adapting itself to changes and challenges in carrying on its missions and agenda. Therefore, the challenges of data economy today must be put in the radar of Muhammadiyah educational institutions, to ensure they produce graduates who are relevant and competitive. In this presentation, the author will use this background to discuss firstly, the intersection of law and data economy, secondly the legal issues and challenges posed to law-making and law-enforcement processes, and thirdly to propose plans and strategies for legal educational institutions to address those challenges. The author provokes law schools to look at a disruptive regulatory approach and innovative research agenda amid the disruption by technologies and new learning environment – the I.R 4.0 and Covid-19 pandemic included. The presentation also calls to a refreshed look on our legal education curriculum.
Neural Networks for the Intelligent Control of Dynamical Systems

A control system is one in which some physical quantities are maintained more or less accurately around prescribed values. One of the fundamental contributions of control theory to science is the concept of feedback whose essence is the use of the error between the desired output and the actual output to control the system. Even very advanced control systems essentially use the same concept, but in such systems precisely what information is to be collected and how it is to be used in the control context is generally not evident. Examples of extremely efficient control systems abound in the biological world. The ease with which such systems perform the tasks of processing sensory information and interacting with uncertain environments has, for a long time, inspired engineers to attempt the design of artificial systems with similar capabilities. Most practical systems have multiple inputs and multiple outputs and the coupling that exists between them makes their control more difficult than that of single variable systems. External disturbances and parameter variations add to this difficulty and the problem of control becomes truly formidable when the system is nonlinear. Our objective in this paper is to describe a methodology for the fast, accurate, and stable control of nonlinear multivariable dynamical systems using neural networks.
Impact of Visiting the Jurnal Pendidikan IPA Indonesia Website to the Author's Knowledge

The research objective is to reveal the knowledge of people who have visited the Jurnal Pendidikan IPA Indonesia (JPII) website about articles with international standards. The instruments used were questionnaires and interviews which were conducted a feasibility test before being used. The strategy employed was sequential explanatory by collecting and analyzing quantitative data followed by qualitative data. The articles of the participants were still unassigned and submitted from July to August 2020. The number of participants was 85 consisting of 78 lecturers, 4 students, and 3 teachers. The research results from questionnaire analysis were; the participants’ intention of visiting the JPII website as 53% to cite articles, the benefit that obtained was 69% getting references, the most interesting part of 62% was the results and discussion, the substance primacy of 35% was in the discussion section, and participants find it easiest to find novelties in the discussion section of 53%. The interview results with 79 participants (93%) stated that they had gained knowledge about international standard articles that had these characteristics; interesting topics, strong gap analysis, methods that are detailed and have novelty, and discussion that has a clear novelty.
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions

Neural module networks (NMN) are a popular approach for grounding visual referring expressions.Prior implementations of NMN use pre-defined and fixed textual inputs in their module instantiation.This necessitates a large number of modules as they lack the ability to share weights and exploit associations between similar textual contexts (e.g."dark cube on the left" vs. "black cube on the left").In this work, we address these limitations and evaluate the impact of contextual clues in improving the performance of NMN models.First, we address the problem of fixed textual inputs by parameterizing the module arguments.This substantially reduce the number of modules in NMN by up to 75% without any loss in performance.Next we propose a method to contextualize our parameterized model to enhance the module's capacity in exploiting the visiolinguistic associations.Our model outperforms the state-of-the-art NMN model on CLEVR-Ref+ dataset with +8.1% improvement in accuracy on the single-referent test set and +4.3% on the full test set.Additionally, we demonstrate that contextualization provides +11.2% and +1.7% improvements in accuracy over prior NMN models on CLO-SURE and NLVR2.We further evaluate the impact of our contextualization by constructing a contrast set for CLEVR-Ref+, which we call CC-Ref+.We significantly outperform the baselines by as much as +10.4% absolute accuracy on CC-Ref+, illustrating the generalization skills of our approach.
Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling

This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Information pertaining to drying sludge and removing its moisture content is pertinent as it determines sludge management quality as it determines the costs of management. Hence, a model predicting sludge moisture content could help provide more insight into dewatering sludge which is often overlooked, in contrast to techniques of dewatering sludge. There remains a dearth of research done in this regard. Hence this endeavor is worthwhile for the potential expansions of such work may make headway to more profitable discoveries.
Review Procedures Borrowing And Return Record Files Medical Outpatient Medical Record in Health Unit River Candle

The borrowing of medical record documents at the puskesmas is used for internal or external purposes which include needs in aspects of the usefulness of medical record documents such as administrative, medical, legal, financial, research, and educational aspects. Based on a survey at the puskesmas, the procedure for borrowing and returning medical record files has not been carried out effectively, for example, the return of outpatient medical record files is often not in accordance with the provisions, namely a maximum of 1 (one) hour before the end of working hours, thus hampering the implementation of medical record retrieval at any time. The time is needed by patients, doctors, and parties who need medical record files. The purpose of this study was to determine the procedure for borrowing and returning outpatient medical record files. This research is a type of descriptive research. The object of the research is the procedure for borrowing and returning medical record files of outpatients in the medical record unit. The instruments used are observation guidelines and interview guidelines.
bo zuo sou suo shu suan fa de shi xian ji qi you hua

本文首先就实际问题阐述博弈搜索问题的由来,并就问题的解决方案提出一些基本思路.参照该基本思路,以及结合已有的算法进行实现,并在阐述每一个算法后给出其局限性,并进行优化,给出性能相对高一级的算法.最后,结合挑夹棋实际应用的情况,提出了一种伪搜索策略对目标算法进行优化.该算法对诸多博弈过程均有重要应用,为进一步进行研究提供了很好的总结指导作用.
Assessment of a Model using a Framework for the Validation of Information System Artefacts

It is not a disputed fact the important role played by software project teams (SPTs) in the success of software projects, as numerous research studies have shown. However, it has also been indicated that these project teams have not received due recognition (not treated as key project stakeholders) from project managers (PMs) and project management researchers in the software industry field. In an effort to address the neglect of SPTs by project managers, a model was developed (in a previous study) by the authors of this paper to assist PMs in treating SPTs as key stakeholders. The aim of this paper is to present the results of the validation process of the model using a framework for validating Information Systems artefacts. One Agile project team was selected to participate in the validation process. The data collected from the participants using interviews was analyzed by means of statistical and qualitative methods. The results have shown that the model has met the assessment criteria stated by the framework. Future studies should include the validation of the model in various project environment setup other than Agile environment.
Implementasi Metode Certainty Factor dan Forward Chaining untuk Mendeteksi Kerusakan Mesin Motor Matic Injeksi Berbasis Website

Motor Matic Injection is a two-wheeled motorized vehicle that is favored by the community, especially among women, the lack of knowledge is one of the factors in the community so that they often ignore damage to the motor engine, the impact of which is more severe damage to the engine. In this study, the researcher uses the divorce factor method to calculate the confidence level of a rule and the forward chaining method that matches the damage or symptoms felt by the user to test the truth of the hypothesis so as to produce several solutions. From the results of the research that has been done, a web-based application is produced that can be used to diagnose damage to the Matic motorcycle engine.