Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA MENGGUNAKAN MIT APP INVENTOR POKOK BAHASAN PYTHAGORAS

The Research and Development (R &amp; D) method was used in this study to develop interactive mathematics learning media using the Android-based MIT App Invemtor application on the Pythagorean subject which consisted of: (1) needs analysis, (2) initial media development, (3) media validation and media revision, (4) media testing and media revision, (5) final product. Data collection is used through a questionnaire/questionnaire. Validation was carried out by a team of material experts, a team of media experts, and students to determine the feasibility of the media. The results of the assessment given to material experts and media experts use the Guttman scale. While the results of the media assessment to students using a Likert scale with a value range of 1-5. Respondents were students from class IX at SMP Putra Juang, Cianjur, totaling 8 students. The data analysis technique in this research is using descriptive qualitative. The average value of 90.27% was obtained from two media experts in the appropriate category. The average value of 87.5% was obtained from two material experts in the appropriate category. The average value of 93.02% was obtained from the results of field trials with a very feasible category.
A Smart Node (Maintenance &amp; Lifespan Prediction System)

Failure doesn't occur overnight, as the warning signal from many different sources emerge, and even the production quality/quantity evolve prior to the failure.Hence, surveillance of these signals 'sources could be used as an input for a system that depends on smart factory principles in order to predict failure and parts' lifespan in advance.This idea was echoing for few years but now it became achievable due to the development of the artificial intelligence (AI), machine learning, data mining and data reservoir technologies.
Development of Quizizz Media for Online Learning for Class IV English Subjects at Madrasah Ibtidaiyah

This study aims to determine the feasibility of the media based on the responses of material experts and media experts, as well as to determine student responses to the use of Quizizz media in online learning of English subjects at MI Darul Huda Deyeng. The research method used is a type of Research and Development (R&amp;D) by adapting the Dick and Carrey development model. The test subjects in this study were fourth grade students of MI Darul Huda Deyeng. The data collection instrument used is a questionnaire (questionnaire). The technique used in data collection is a questionnaire with a Likert scale. Analysis of the data used is descriptive analysis. From the results of the research conducted, it shows that the Quizizz media in online learning of class IV English subjects at MI Darul Huda Deyeng which has been developed based on the assessment responses from material experts has obtained a feasibility percentage of 80% and is included in the appropriate category, based on the assessment responses by media experts, it is obtained The percentage of eligibility is 82.66% which is included in the very feasible category, while student responses to the Quizizz media developed get a percentage of 82.82% included in the very feasible category.&#x0D; [Penelitian ini bertujuan untuk mengetahui kelayakan media berdasarkan tanggapan penilaian ahli materi dan ahli media, serta untuk mengetahui respon siswa terhadap penggunaan media Quizizz dalam pembelajaran daring mata pelajaran Bahasa Inggris di MI Darul Huda Deyeng. Metode penelitian yang digunakan merupakan jenis Research and Devlopment (R&amp;D) dengan mengadaptasi model pengembangan Dick and Carrey. Subjek uji coba dalam penelitian ini adalah siswa kelas IV MI Darul Huda Deyeng. Instrumen pengumpulan data yang digunakan yaitu angket (kuisoner). Teknik yang digunakan dalam pengumpulan data yaitu angket dengan skala Likert. Analisa data yang digunakan yaitu analisis deskriptif. Dari hasil penelitian yang dilakukan menunjukkan bahwa media Quizizz dalam pembelajaran daring mata pelajaran Bahasa inggris kelas IV di MI Darul Huda Deyeng yang telah dikembangkan berdasarkan tanggapan penilaian dari ahli materi memperoleh presantase kelayakan 80% dan termasuk dalam kategori layak, berdasarkan tanggapan penilaian oleh ahli media mendapat presentase kelayakan 82,66% yang termasuk dalam kategori sangat layak, sedangkan respon siswa terhadap media Quizizz yang dikembangkan memperoleh presentase 82,82% termasuk dalam kategori sangat layak]
Extent of availability and usage of various laboratory equipment among physics students’ in Port-Harcourt, Nigeria

This study investigated the availability and usage of laboratory equipment among physics students’ in Port Harcourt, Nigeria. A descriptive survey design was used for this study. To guide this work, four research questions were stated. The population of the study covers all SS2 students offering physics in Port Harcourt. A sample size of 390 physics students selected through simple random sampling technique were used for the study. A questionnaire titled “ Extent of Availability and Utilization of Laboratory Equipment for physics Instruction Questionnaire (EAULEPIQ)” was used for the study for compliance of respondents .The data were analyzed using mean and standard deviation to answer all the 4 research questions. Findings from this study showed that availability and utilization of laboratory equipment for learning physics are at low extent and this is unethical for Physics instructional practices. As a result the following recommendations among others were made: the state Government and all educational stakeholders should ensure that adequate laboratory equipment are supplied to all physics laboratories in all secondary schools; also the state educational board should always organize physics practical inter school competitions where winners will go with enviable prizes, this will motivate teachers and students to always use laboratory equipment for instruction thereby producing physics students that are competent in their use of it for easy understanding of concepts and simplifying abstract concepts in physics. When this is achieved, incompetence in the use of laboratory equipment will be overcome by physics students thereby improving performance.
Adaptation Works as Original Creations from an Intellectual Property Perspective (Study of Fans Fiction Works)

Article 40 UUHC contains the creations included in the work protected by the law, especially in science, art, and literature. Nevertheless, Article 40 paragraph 1 letter none of them is a work that is included in the adaptation work. One form of adaptation that has been widely circulated is fan fict
WORD-FORMATION PRODUCTIVITY OF ABBREVIATIONS IN ITALIAN AND SERBIAN / MONTENEGRIN: DERIVATION BY SUFFIXATION

The research is focused on the comparison between the abbreviations in modern Italian and those in Serbian and Montenegrin language, as stems for derivation by nominal, adjectival, and verbal suffixes. The approach is contrastive, and for the corpora were used mostly materials extracted from the daily press, as well as dictionaries of neologisms in the case of Italian corpus. For the Italian corpus, the dictionaries used were Neologismi: Parole nuove dai giornali (2009) by Istituto Treccani, with an updated online version of that dictionary on the publisher’s site https://www.treccani.it/magazine/lingua_italiana/neologismi/, as well as the database ONLI: Osservatorio Neologico della Lingua Italiana (https://www.iliesi.cnr.it/ONLI/), which collects materials mostly from daily and weekly press. Several studies on abbreviations were also very helpful as the source for examples of suffixation. Serbian and Montenegrin press was analyzed as one corpus, as there are virtually no differences between these languages as far as abbreviations are concerned. The latter corpus relies mostly on online versions of Serbian and Montenegrin daily press (Vijesti, Pobjeda, Dan, Novosti, Telegraf, Politika, and so on), with several examples taken from social media, blogs and web portals, for the most part through the web site Kontekst.io (https://www.kontekst.io/) which for Serbian corpus uses database srWaC (Serbian Web, https://www.clarin.si/noske/run.cgi/corp_info?corpname=srwac&amp;struct_attr_ stats=1&amp;subcorpora=1). As in printed Serbian and Montenegrin literature were found only older and, in some cases, outdated examples, it was necessary to complement this corpus with newer and more up-to-date materials. In the corpora analysis, neologisms derived from acronyms by suffixation were of particular interest, as an indicator of vitality and productivity of these lexical items in modern language. As they become more and more present in modern languages, this traditional approach to abbreviations as a marginal anomaly should be revised. It is necessary to establish consistent rules of writing and pronouncing for some acronyms, as well as to meet the requirements of everyday use which their limited inflection and morphosyntactic irregularity can complicate. Although their form does not conform to the rest of the language system, their use is becoming more frequent and encompassing, and the number of derivations from the most used and present abbreviations keeps growing. In both Serbian and Montenegrin linguistics, the research of abbreviations has merely started as far as word formation is concerned. Therefore, this field offers a lot of potential for further research, especially if one observes the daily influence of extralinguistic context on the changes in modern language.
Application of 3R Technology in the Construction of University Teaching Network Platform

The situational teaching of the 3R technology network platform based on the student-based concept is a teaching improvement based on the traditional teaching. The purpose of this article is to study the construction of a network platform for the application of 3R technology in university teaching based on the student-based concept. This article analyzes the characteristics of 3R, combines the problems found in educational practice and the application of the 3R technology network platform to build a teaching model, and summarizes it as follows: This article applies 3R technology to the university teaching network platform, and combines student-oriented concepts For teaching needs, we designed a network platform for the application of 3R technology in college teaching under the vision of the corresponding student-based concept. Through educational practice, the exploration of the application of teaching mode was completed and good feedback was obtained. Teachers and students who use the 3R technology network experiment for teaching and learning can use the platform well. In the entire teaching model, 89% of the teachers believe that the network platform teaching based on 3R technology is helpful for students’ learning.
Value-Motivational Aspects Social Activity Development at the Higher Education Institution Specialists

Using the latest educational technologies and active methods of social activity development in future specialists in the educational space under today’s conditions is significantly complicated by existing levels of the object and subject studies of various patterns. The authors studied a wide range of foreign and domestic interdisciplinary works and models which describe the implementation of research methodology of the individual socialization process to study the development of specialists’ social activity. Also, the authors defined the relevant patterns of students’ involving in socially significant activities due to the changes in value-motivational aspects at different stages of social activity development at the higher education institution. The structural and functional components are determined, and the research parameters specifying the changes of value-motivational factors of social activity development in future socionomy specialists are substantiated. The article provides empirical diagnostics of values among the students of socionomic professions within the sociological and pedagogical research of social activity with the participation of 610 students from four Ukrainian higher education institutions. The diagnostics was carried out by means of the shortened version of the “Portrait Questionnaire of Values - PVQ-Revised”. It has been found out that the development of social activity in future socionomy specialists is mainly related to changes in motivational aspects at different levels of generality and complexity; it includes such constructs as values, goals, behavior plans which require a qualitative analysis of social factors and identification of relevant patterns of students’ involvement in socially significant activities.
Sportsman’s Mental State Evaluation and Early Warning Method Based on Intelligent CNN

Aiming at the intelligent needs of psychological state assessment of university students, the text information-based psychological problem identification approach is investigated in the paper. This approach uses the text of student forums within universities as the database and introduces the convolutional neural network (CNN) model in deep learning, which contains a convolutional layer, a pooling layer, and a fully connected layer. After the convolution is completed, the convolution result is delinearized by the activation function, and then, pooling is performed to improve the fitting ability of the network for nonlinearities. For data processing, behavioral features, attribute features, content features, and social relationship features are extracted from text information as the input of the CNN. The psychological lexicon of expertise (LIWC) is used to enhance the efficiency of text word frequency statistics when performing text content extraction. To evaluate the performance of the proposed method, simulations are performed in the open dataset of CLPsyh2017 ReachOut Forum, and the FastText method is used as a comparison. The results show that the CNN model achieves an accuracy of 0.71 in the full-sample domain, which is significantly higher than that of the FastText model at 0.64. In the early warning evaluation of mental states, the CNN performance is better than that of FastText.
The role of storytelling marketing in the customer's choice of the brand of telecom companies in Iraq

This study aimed to clarify the role of storytelling marketing in the trademark marketing of telecommunications companies in Iraq, and it is logical that the role can be negative or favorable namely: value harmony, trademark image, trademark love, trademark loyalty.The researcher used the descriptive approach with reference to the literature of the study and previous studies, then used the questionnaire as a method for collecting primary data, and after processing and analysing the data, the researcher reached a number of conclusions, the most important of which are: Oral marketing did not lose its lustre and did not lose its impact on the customer's choice of the Iraqi telecom companies' trademark.Details of conclusions and recommendations at the end of the paper.
Árcade: Metodología para el desarrollo de videojuegos en cursos de ingenierías

This paper describes a methodological proposal for the design and development of videogames, which can be used by students with skills in computer programming; although they do not have outstanding artistic abilities. For its elaboration, three comparative studies on videogame development methodologies were taken as a basis. The methodology developed was applied in an elective course in systems engineering at an institution of higher education, during four semester academic periods since 2016. A total of 87 students passed through the course and resulted in the development of 48 video games. This methodology was specially designed so that it could be used in engineering courses in which the development of an acceptable video game in its first version is expected or, at least, with the quality of software running with the essential functions. In such a way that the methodology allows the design and development of video games in a short time, taking into account limited budgets and resources, and using a minimum number of developers, no more than two and specifically programmers.
Water quality is exciting even during a pandemic: students measure and interpret nitrate concentrations using the Nitrate App

&amp;lt;p&amp;gt;The Covid-19 pandemic has severely affected possibilities for students to do field work and thereby train their team work skills. Under the uncertain conditions of the pandemic, teachers might be reluctant to plan field courses months ahead, and students and teachers might not feel comfortable or are simply not allowed to travel in larger groups. This calls for approaches that allow students to do field work in small groups in their own time and to integrate individual group results into a course-wide learning goal. In this contribution, we will share our experiences with the Nitrate App developed by Deltares, which enables students to do water quality measurements with minimal prior instructions and without supervision by teachers. The Nitrate App is a smartphone application that reads nitrate concentrations from test strips and stores them in a shared database. The app has been originally developed to support farmers in measuring nitrate concentrations and derive best management practices from these. While farmers make great use of this application, the Nitrate App has been increasingly employed for educational purposes. At the same time, educational use of this app can also feed back into water management, as this allows collecting nitrate concentration data at much finer spatial resolution than possible in regional water quality monitoring networks. The directly available measurement results allow for ad hoc decisions about measurement strategies for example to identify the source of high nitrate concentrations. We will illustrate recent examples of how the Nitrate App has been employed in field work assignments of Bachelor&amp;amp;#8217;s and Master&amp;amp;#8217;s geoscience courses as well as in elementary school education.&amp;lt;/p&amp;gt;
Incremental Ant-Miner Classifier for Online Big Data Analytics

Internet of Things (IoT) environments produce large amounts of data that are challenging to analyze. The most challenging aspect is reducing the quantity of consumed resources and time required to retrain a machine learning model as new data records arrive. Therefore, for big data analytics in IoT environments where datasets are highly dynamic, evolving over time, it is highly advised to adopt an online (also called incremental) machine learning model that can analyze incoming data instantaneously, rather than an offline model (also called static), that should be retrained on the entire dataset as new records arrive. The main contribution of this paper is to introduce the Incremental Ant-Miner (IAM), a machine learning algorithm for online prediction based on one of the most well-established machine learning algorithms, Ant-Miner. IAM classifier tackles the challenge of reducing the time and space overheads associated with the classic offline classifiers, when used for online prediction. IAM can be exploited in managing dynamic environments to ensure timely and space-efficient prediction, achieving high accuracy, precision, recall, and F-measure scores. To show its effectiveness, the proposed IAM was run on six different datasets from different domains, namely horse colic, credit cards, flags, ionosphere, and two breast cancer datasets. The performance of the proposed model was compared to ten state-of-the-art classifiers: naive Bayes, logistic regression, multilayer perceptron, support vector machine, K*, adaptive boosting (AdaBoost), bagging, Projective Adaptive Resonance Theory (PART), decision tree (C4.5), and random forest. The experimental results illustrate the superiority of IAM as it outperformed all the benchmarks in nearly all performance measures. Additionally, IAM only needs to be rerun on the new data increment rather than the entire big dataset on the arrival of new data records, which makes IAM better in time- and resource-saving. These results demonstrate the strong potential and efficiency of the IAM classifier for big data analytics in various areas.
A Literature Review on Hand-written Character Recognition with Neural Network

Abstract: The handwriting styles of the various individuals are unique in this manner; it is truly challenging to recognize the manually written characters. Manually written character acknowledgment is a space of example that has turned into the subject of exploration during the last few decades. The neural organization assumes a significant part in transcribed person acknowledgment. This requires the study and reproduction of Artificial Neural Networks. In Neural Network, every hub plays out a few straightforward calculations and every association passes a sign starting with one hub on then onto the next marked by a number called the "association strength" or weight, demonstrating the degree to which sign is intensified or reduced by the association. Hindi content is written from left to right and from start to finish design. Keywords: Neural network, Handwritten character recognition, Accuracy, Training Time
E-learning education problems facing nursing students in Jordanian universities during COVID-19 pandemic confinement

Background: E-learning is a relatively new and rapidly growing trend in nursing education, particularly in the aftermath of the COVID-19 epidemic. Thus, it is critical to accurately identify the problems and alternatives that obstruct and enforce the type of learning that intends to encourage and enable nursing students' usage of e-learning. Objective: This study examined the problems encountered by nursing students pursuing Baccalaureate degrees at four Jordanian public and private universities as they transitioned from face-to-face to e-learning education during the COVID-19 pandemic. Methods: The study enrolled 260 participants across four years from nursing faculties at four prominent public and private universities in Amman. They were asked to complete an electronic survey on a 30-item Likert scale. Result: While there are no statistically significant differences in the e-learning education problems encountered by nursing students at Jordanian universities according to gender or year level, this does not mean that the problems encountered by female and male students at various year levels are identical). There are statistically significant differences (=0.05) in the e-learning education problems faced by nursing students at Jordanian universities, with private universities outperforming public universities.