Reviewerly/exHarmony huggingface dataset:
MEDIA HATE SPEECH AND ITS IMPACT ON INTERNAL ‎CONFLICTS

The research aims to study the concept of hate speech and explain the ‎role of the media in promoting it, and to clarify the extent of its ‎impact on the internal conflicts in countries, especially the third world ‎countries, including what happened in Libya, and to find ways and ‎internal and international means to combat it, and to address the ‎results caused by media hate speech from aggravation Civil wars in ‎recent years, spreading strife among the people of the same country ‎through it, and instability of international peace and security, as hate ‎speech and the Libyan media’s control over it by promoting it is still ‎one of the biggest problems and challenges facing the stability of ‎countries that suffer from internal conflicts and the international ‎community As a whole.‎ Through the research, we will show the results arranged by ‎hate speech in the media and its contribution to fueling internal ‎conflicts in countries that suffer from civil wars and internal conflicts, ‎studying the extent of their impact on it, and finding solutions to ‎address it and combat corruption in this regard, to ensure the stability ‎of international peace and security in the future, to build peace the ‎international community and to promote and achieve the 2030 ‎Sustainable Development Goals.‎
Action of College Chinese Education and Information Fusion Teaching Based on the Background of Big Data

In order to meet the needs of the development of the times and the cultivation of innovative talents, various countries have carried out a series of educational reforms. It seeks more diversified talent training methods through innovative education and teaching methods. With the development of science and technology and the diversification of information, the integration of multilevel, distributed, and massive information has become the development direction of various disciplines. Therefore, this research is based on the background of big data, exploring the way of university Chinese education and information fusion teaching under the education reform and helping students establish a systematic subject knowledge system. This article chooses two parallel classes of similar level as the experimental group and the control group. It analyzes the results of the four aspects of the students’ ancient and modern language and writing analysis, college students’ Chinese reading comprehension, college students’ Chinese writing application, and college students’ language expression and communication through test papers. The experimental results of this article show that the <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>P</mi> </math> values of these four aspects are all less than 0.05, indicating that the learning effect of the experimental group is higher than that of the control group.
USABILITY EVALUATION MODEL USING CONFIRMATORY FACTOR ANALYSIS ON ONLINE BUYING SITES

&lt;p&gt;&lt;em&gt;The data obtained from the Top brand index shows that there are 3 market leaders of online buying and selling sites in Indonesia, namely lazada.co.id; shopee.co.id and tokopedia.com. This makes the reason for choosing the object of research with the aim of research to find out the usability evaluation model using confirmatory factor analysis. The research data were obtained by distributing questionnaires as many as 150 respondents to 3 market leader online trading sites in Indonesia, namely lazada.co.id; shopee.co.id and tokopedia.com. The five components that will be used to turn into a questionnaire are learning ability, memory, efficiency, errors, satisfaction. The results showed that the design of the model in solving this particular problem is needed to measure the level of suitability of the use of the technology being made, so that research that has been carried out using the CFA method for the usability evaluation model can be concluded that by using 5 latent variables and 22 constituent indicators, resulting latent variables which are very influential in evaluating usability on online buying and selling sites. The results of the data analysis on questionnaire filling conducted by respondents were based on five variables, namely learnability, memorability, efficiency, errors and satisfaction, namely the most important factors in usability evaluation were memorability, efficiency, errors, with each index value of 5.60 in the very high category. Meanwhile, the Learnability factor has the lowest score of 5.56.&lt;/em&gt;&lt;/p&gt;
إعداد المعجم المصاحب (العربي – الإندونيسي – الجاوي) لكتاب آداب العالم والمتعلم للشيخ هاشم أشعري بالتطبيق في المعهد الفتح كديري

Based on the results of the needs analysis conducted by the researchers at Pesantren Pelajar Al-Fath Kediri, it was found that there was a need for a companion dictionary. The researchers believe that a companion dictionary containing three languages ​​(Indonesian-Arabic-Javanese) will be able to help santri to overcome their problems in understanding the lessons presented by teachers. Learning at this pesantren uses Javanese translation, that is, the teacher reads or translates the books using Javanese translation (pegon) then he adds explanations in official Indonesian. The students copy that translation as well as the teacher's. The researchers found that most of the santri did not master that Javanese translation well, because they have different ethnic backgrounds and because that Javanese language is not be used in their daily communication, so it become foreign for them. Because of that, the students (santri) had difficulties, especially when they were going to re-study the book independently. This study uses the Research and Development method with six steps from Borg and Gall. The samples are the students at Pesantren Pelajar Al-Fath Kediri, grade 3, academic year 2020/2021. The research problems are: 1) How to make a companion dictionary (Arabic-Indonesian-Javanese) for the book Adab al-Alim Wa al-Muta'allim by Sheikh Hasyim Asy'ari, being applied to the Pesantren Pelajar Al-Fath Kediri? 2) Howa the effectiveness of using that companion dictionary (Arabic-Indonesian-Javanese) for the book Adab al-Alim Wa al-Muta'allim by Sheikh Hasyim Asy'ari, by being applied to Pesantren Pelajar Al-Fath Kediri? The result of this research is the companion dictionary for the book Adab al-Alim Wa al-Muta'allim by Sheikh Hasyim Asy'ari. Based on the assessment of dictionary content experts, this companion dictionary has a high level of quality with a percentage of 86.6%. While the assessment of the design expert is 77.6%. The test results using the T-test which shows the calculation of the value of sig (2-tailed) is 0.00 less than 0.05. This shows that the use of this companion dictionary is effective. This dictionary will contribute in development of lexicography field related to the three languages, and will assist students in independent study to understand the translation dictated in Javanese, considering that most students do not improve Javanese.
Bayesian Network Model to Distinguish COVID-19 for Illness with Similar Symptoms

Numerous diseases and illnesses exhibit similar physical and medical symptoms, such as COVID-19 and its similar disguised illness (common cold, flu, and seasonal allergies). In this study, we construct a Bayesian Network model to distinguish such symptom variables in a classification task. The Bayesian Network model has been widely used as a classifier comparable to machine learning models. We develop the model with a scoring-based method and implement it using a hill-climbing algorithm with the Bayesian information criterion (BIC) score approach. Experimental evaluations using publicly available Mayo Clinic based data using this Bayesian Network model that present Directed Acyclic Graph (DAG) which can show the relationship between the similar symptoms and the type of disease with Conditional Probability Table (CPT). This model shows a promising accuracy performance up to 93.14% which is better than the performance of other machine learning classifiers, including the Support Vector Machine (SVM) and the ensemble approaches such as Random Forest (RF), while slightly smaller than that of the neural networks (NN).
HANDLING THE ATTENTION SPAN OF GRADE 1 STUDENTS AT EQUALBRIGHT SCHOOL

This article focused on the teachers' strategies in getting the grade 1 students' attention span at equalBright School. Since the students could not proceed classroom activities well, thus some strategies will be necessary. The aims of this article were to find out the teachers' strategies in getting students's attention span. This article will use qualitative research design in analyzing the teacher's strategies in getting grade 1 students' attention span at equalBright School. The teacher used four strategy in getting students' attention span, which are giving clear direction and asking student to repeat it, making learning interesting, setting the HOTS (Higher order thinking skills) and varying lesson presentations. In addition, there will be advantages by applying those strategies in the classroom, like helping the students to evaluate information rapidly, making connections between the lesson, fully engaged in the lesson, it is able to make an effective limiting teaching to make it not too long for the students. Keywords: Attention, SPAN, Equalbright School
Bitcoin Mining in Turkey as an Example of Speculative Entrepreneurship

The main purpose of this study is to determine the dimensions of speculative entrepreneurship for Bitcoin Turkish miners and to determine the motivational factors to become entrepreneurs in this area.The study was designed as a qualitative study where data was collected from a sample of 13 Bitcoin miners.The collected data thus was analyzed and coded thorough thematic analysis.After determining each participant's profile, a narrative analysis was conducted to ensure the integrity of the research.Some of the key common characteristics thus determined were awareness, arbitrage, and high-profit expectations whereas the self-manipulation feature was determined as low.The key motivation for Participants for investing in Bitcoin was the absence of central management, the beginning of a new financial structure outside the existing system, the opportunity for absolute privacy, and the excessive interest of society, which would serve as a leverage for arbitrage, with high-profit expectation.Bitcoin miners have seen the opportunity of arbitrage with their increased level of awareness and knowledge.As speculative entrepreneurs Bitcoin miners were aware of the extreme nature of the risk investing in Bitcoin to gain highly desirable and expected profit for using the arbitrage opportunity in the existing system.
Morphological and Immunophenotypic Analysis in Diagnosis of Acute Leukaemia

Background: Leukaemias are neoplastic proliferations of haematopoietic stem cells and form a major proportion of haematopoietic neoplasms that are diagnosed worldwide.&#x0D; Objective: To differentiate between morphological and immunophenotypic analysis in the diagnosis of acute leukemia.&#x0D; Materials and method: This cross sectional study was conducted in the department of Haematology, Armed Forces Institute of Pathology (AFIP), Dhaka, Bangladesh from January 2008 to December 2008. Total 50 patients were included after fulfilling inclusion and exclusion criteria.&#x0D; Results: The total of 50 bone marrow samples from suspected cases of acute leukaemia were included in the study. Out of 50 samples, 48 cases were diagnosed as either acute myeloid leukaemia (19 or 38%) or acute lymphoblastic leukaemia (29 or 58%) and 02 (04%) cases were morphologically indistinguishable. All 50 cases were subjected to immunophenotypic study. Out of 50 cases immunophenotypically 14(28%) were acute myeloid leukaemia (AML), 32(64%) were acute lymphoblastic leukaemia (ALL), and bi-phenotypic leukaemia and acute undifferentiated leukaemia were 02(04%) each. In this study Male: Female ratio was 1.3:1. Out of 19(38%) cases of AML, 29(58%) cases of ALL and 02(04%) cases of indistinguishable diagnosed morphologically, 14(28%) were found to be AML, 32(64%) ALL, 02(04%) bi-phenotypic and 02(04%) were acute undifferentiated leukaemias on immunophenotyping respectively. Out of 29 cases identified as ALL on morphology 25(86.2%) were confirmed as ALL, 02(07%) turned out to be AML, 01(3.4%) was bi-phenotypic and 01(3.4%) was undifferentiated.&#x0D; Conclusion: In this study, acute lymphoblastic leukaemia was the commonest type of leukemia followed by acute myeloid leukaemia with male predominance seen in all types of leukaemia.&#x0D; Delta Med Col J. Jul 2020 8(1): 15-20
The Effect of Online Gamification Quiz Application on Vocabulary Mastery for Young English Learners

Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh Kahoot pada penguasaan kosakata untuk pelajar bahasa Inggris usia muda. Penelitian ini menggunakan metode kuantitatif dengan desain Pre-experimental One Group Pre-test and Post-test . Instrumen yang digunakan pada penelitian ini adalah tes kosakata yang terdiri dari 20 item dalam pengumpulan data. Data dianalisis menggunakan statistik deskriptif dan inferensial. Partisipan penelitian ini adalah siswa kelas IV SD Dana Punia Singaraja. Temuan penelitian ini membuktikan bahwa terdapat pengaruh signifikan yang terdapat pada pada penguasaan kosakata untuk pelajar muda bahasa Inggris dengan efektivitas kategori sedang. Lebih Lanjut, penerapan Kahoot sebagai gamifikasi dalam pembelajaran kosa kata sudah tepat dalam meningkatkan penguasaan kosakata pelajar muda. Abstract: This research aimed to investigate the effect of Kahoot on vocabulary mastery for young English learners. This research utilized the quantitative method with Pre-experimental One Group Pre-Test and Post-Test Design. The instrument used to collect the data was vocabulary test that consisted of 20 items. The data were analyzed using descriptive and inferential statistics. The participants of this study were fourth-grade students of SD Dana Punia Singaraja. The findings proven there was a significant effect on vocabulary mastery for young English learners with a moderate effect of effectiveness. Furthermore, the implementation of Kahoot as gamification in English learning was precise in improving young learners' vocabulary mastery.
Floods

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 1 p. 23727B-23727C Policy and Practice Floods First published: 04 March 2022 https://doi.org/10.1111/j.1467-6346.2022.10428.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume59, Issue1March 2022Pages 23727B-23727C RelatedInformation
A comparative analysis of morphological mutations-clippings and blends/portmanteaux in English and Urhobo languages

Language, the major means of human communication, grows and changes in form as nations garner new experiences and engage in new technologies. The creation of new words to capture the new experiences and technologies becomes inevitable. This work researches into neologisms in the forms of clippings – shortening of words; and blends – combination of parts of two or more source words in both the English and the Urhobo languages. The exploratory, descriptive, quantitative and comparative research methods were used, while data collection was done through library search, interviews and extensive internet search. From the result of the analysis of accessed data, English has back clips (52%) and fore-clips (19%) as its two most frequently occurring types of clips; the Urhobo has the most frequenting occurring as the median clips (44%) and fore-clip (38%) as the next most frequent. Again, while the English language has the most blend as the (BE) (41%), followed by (WE) (19.1% and ((BW) at (13.7%), the Urhobo blend patterns are more varied with (BW) as highest (25.5%); followed by (MW) (15.7%) and (WE=O) (11.8%) respectively. This shows that there are word mutations appearing in clips and blends, and, therefore, recommend that these are studied and included in our daily use, especially in informal settings.
Exploring the Dark Web for Cyber Threat Intelligence

Cyber attack strategies have become more prominent in recent years, making it more difficult to stop an assault, even if some form of countermeasure is used. Even with protection systems in place, it is challenging to totally avoid all cyber intrusions. We are, in a sense, in a defense-only posture. A strategy for exploiting this threat will be provided, which will combine social network analysis with cognitive computing to filter hostile behavior and forecast their vulnerabilities. The major goal is to harvest crucial postings from dark web forums, including posts from malicious hackers, and disseminate information like virus trading and hacking strategies. Hence ,We are proposing an approach to extract forums which include important information or intelligence and identify traits of each forum using AI and ML Techniques. Information gathering from the dark-web communities is quite a challenging task, data cannot address real-world cybersecurity problems considering the importance of information gathering. The dataset containing forum posts from the darknet were extracted from different websites using different web crawlers .Then the retrieved data is cleaned , normalized, parsed, processed and classified and labeled according to their severity. After this phase different ML algorithms were applied on labeled data . Finally the model is tested with the inputs and used for predicting the cyber threats for future. The main focus of this research will assist us in identifying future developing risks in cyberspace and high propensity measures to counter such malicious tasks. With recent technological advancements, recent research has revealed that dark-web indications may be connected with event data and leveraged to forecast intrusions, indicating perhaps a more threat-focused cybercrime is on the horizon. Keywords—Intelligence, Darkweb, Forums, Machine Learning
Formation of Technical and Technological Competence Among Future Engineers-Educators in the Process of Professional Training: Research Results

Scientific and technological progress determines the transition to high-tech production, innovative development of the economy, which creates new requirements for the training of qualified labour and the need to modernize engineering and pedagogical education with the strengthening of the technical and technological component of the professional competence of the engineer-teacher. The article reflects the stages, content, processes and research tools for the formation of technical and technological competence in future engineers-teachers in the process of professional training. The analysis allowed the authors of the study to determine the content of the technical and technological activity of the engineer-teacher, to carry out a conceptual and terminological identification of basic definitions, and then to determine the essence of the technical and technological competence of engineers-teachers, the structure of which is a system of interrelated components – motivational-value, communicative, cognitive and reflective. The authors refer to the theoretical foundations of the study as a set of methodological approaches to the formation of technical and technological competence: competence-based, practice-oriented, activity-oriented, personality-oriented, com- municative, integrative. As a result of the study, the diagnostic tools have been improved in the context of determining the criteria (motivational-value, cognitive, communicative and reflexive), indicators and levels of formation of the technical and technological competence of future engineers-teachers. Attention is focused on the substantiation and development of pedagogical conditions for the formation of technical and technological competence in future engineers and teachers. The mechanisms and tools by means of which the complex of pedagogical conditions in the process of professional training of students of the experimental group was realized are described. The effectiveness of the developed pedagogical conditions, their productive influence on the formation of all components of technical and technological competence are shown. It was revealed that only under the condition of the comprehensive implementation of the presented pedagogical conditions there is an effective formation of the technical and technological competence of future engineers-teachers, which is confirmed by the methods of mathematical statistics. The directions of further research of the problem of the formation of technical and technological competence of future engineers-teachers in the plane of integration of economies, further modernization of production, digitalization trends in all spheres of public life are indicated.
The Effect of Text Summarization in Essay Scoring (Case Study: Teach on E-Learning)

The development of automated essay scoring (AES) in the neural network (NN) approach has eliminated feature engineering. However, feature engineering is still needed, moreover, data with labels in the form of rubric scores, which are complementary to AES holistic scores, are still rarely found. In general, data without labels/scores is found more. However, unsupervised AES research has not progressed with the more common use of publicly labeled data. Based on the case studies adopted in the research, automatic text summarization (ATS) was used as a feature engineering model of AES and readability index as the definition of rubric values for data without labels.This research focuses on developing AES by implementing ATS results on SOM and HDBSCAN. The data used in this research are 403 documents of TEACH ON E-learning essays. Data is represented in the form of a combination of word vectors and a readability index. Based on the tests and measurements carried out, it was concluded that AES with ATS implementation had no good potential for the assessment of TEACH ON essays in increasing the silhouette score. The model produces the best silhouette score of 0.727286113 with original essay data.
Studi Deskriptif Pembelajaran Daring Pada Mata Pelajaran IPA Terhadap Siswa SMP Bhakti Mulia Wonosobo

This study aims to identify the factors that influence the success of online learning and evaluate the implementation of online learning that has been in progress. The research method was carried out by distributing questionnaires to 34 students which were saturated samples where all students became respondents as well as primary sources. The data were analyzed descriptively to explain the existing phenomena. The results showed that online learning had been carried out well with satisfactory learning outcomes due to the influence of factors such as adequate media equipment, student learning motivation, teacher ability in teaching, mastery of teaching materials. and proficiency in using online devices as media, as well as students' level of understanding.