Reviewerly/exHarmony huggingface dataset:
Analysis of readability of reading texts on English national examination on junior high school

This research aims to find out whether texts in the English National Examination at Junior High School. Conform with students' readability level or not. This research is research that uses quantitative methods. It aims to investigate the readability of the texts used in the English national examination texts for junior high school students. Subjects are 8 texts used in the English national examination texts. The instrument used to collect data is the Flesch Reading Ease readability formula. The results of the study it was found that the reading text on the National Examination test was not suitable for junior high school students. Based on the readability formula for the eight reading texts, there are 4 texts in the very easy category, in the easy category there is 1 text, in the quite difficult category there is 1 and there are only 2 reading texts that are suitable for students who are included in the standard category and are fairly easy. For those interested in studying readability, besides Flesch reading ease formula. The writer hopes this research can give more information for further research. The author expected to pay attention to producing better texts which suitable with the level of the students’ readability as the good text can help students to get a high score.
Komparasi Metode Simple Additive Weighting dan Analytical Hierarchy Process dalam Rekomendasi Penyewaan Pakaian

Clothing is used as a symbol of the wearer's position. This requires people to follow the lifestyle of clothing trends. Clothing trends today change very quickly and tend to be relatively short-lived. As a result of these changes, people are encouraged to become consumptive. Now people can enjoy it without having to buy expensive clothes. Branded clothes can also be used cheaply. Therefore, clothing rental is a stylish yet fashionable option. There are many clothing rentals shops today, but there is no specific information for renters who are looking for a rental shop that fits their needs. People tend to search and visit rental locations to rent clothes. This rental recommendation makes it easier for tenants to find clothes according to their own criteria. The purpose of this study was to compare the SAW-AHP method which was most suitable for the case of this study. After calculating and comparing the two methods, the SAW method is suitable for this case because it can count all samples, while the AHP method can only count 15 samples according to the Random Index table.
CYBERBULLYING AND RELATED ENTITIES: HOW THE INTERNET HAS CHANGED RISK BEHAVIORS, AND NEW LEGAL CONSEQUENCES

Social media use is integral to the lives of young people, bringing both enrichment and exposure to social, mental health, and legal risks. We aim to familiarize attendees with the legal status and consequences of cyberbullying, the correlation of cyberbullying with increased suicidality, and issues related to the overlap between cyberbullying and sexting. We will introduce attendees to the particular issues relating to cyberbullying in LGBT youth, the benefits and risks particular to new social media platforms, and the role of clinicians in helping their patients interact safely online. Finally, we will provide clinicians with tools to use in helping their patients safely navigate their online lives.
The Impact of Socio-Economic Factors on Human Capital Investments A comparative study of the MENA Region

The Impact of Socio-Economic Factors on Human Capital Investments A comparative study of the MENA Region Dr. Faleh Al Rashidi, Dr. Randa Diab-Bahman, Dr. Abrar Al-Enzi Abstract The MENA region needs to diversify and move towards building knowledge-based economies so that their participation in the human capital of the world can be improved. At present, despite an above average allocation of public spending on the education sector, the returns in terms of jobs and educational quality are not seen. Several challenges like unemployment, poor quality of education, lack of private sector jobs, inability to leverage on technology for increasing the scope of education, war and immigrant crises, and centralized control over education are acting as barriers in the improvement of efficiency of educational systems and hence, the human capital. This paper provides an overview of the current status of key indicators in the region regarding the subject and examines possible relationships between the proxies. This study aims at examining critically how education systems have contributed to downturn in socioeconomic development in the MENA region. It also suggestsa framework based on possible solutions that can allow the region to finally realize the returns on its investments in the education sector. The dependent variable of this study was Human Quality Investment in MENA region while the explanatory variables were; use of technology in learning, centralized control, regional threat, common language, information technology in education, unemployment rate and quality of education. Full Text: PDF DOI: 10.15640/jehd.v10n1a12
Capital Market Development and Financial Openness in Sub-Saharan Africa

The inability of capital markets in Sub-Saharan Africa in fund mobilization has affected financial openness in the subcontinent.It has been vigorously argued that financial openness can still thrive without viable capital market but the intermediation function of capital market should not be overlooked.To this end, this study examined the nexus between capital market and financial openness in Sub-Saharan African Countries for 30 years period ranging from 1990 -2019.The study proxied financial openness with capital account balance ratio, private capital inflow ratio, number of listed companies, external finance through foreign capital market and per capita income ratio while capital market development was measured with market capitalization ratio.The study employed secondary data collected from World Development Indicators, Securities and Exchange Commission statistical bulletin, and StockExchange fact books of the respective countries.The study adopted ex-post facto research design while the time series data were analyzed using descriptive statistics, correlation, unit root test, granger causality test, Johansen co-integration and error correction model via E-Views 10.The result revealed that there is no significant relationship between market capitalization ratio and capital account balance ratio in Nigeria; a significant negative relationship between capital account balance ratio and market capitalization ratio in Zimbabwe; a significant positive relationship between private capital inflow ratio and market capitalization ratio in South Africa and a significant positive relationship between private capital inflow ratio and market capitalization ratio in Nigeria.The study recommended that Sub-Saharan Countries should develop trade openness and liberalisation policy that would promote the international relationships necessary for increasing market opportunities and enhancing profitable investments.Therefore the country should continue to develop its capital market to achieve international standards and attract more investors.
Internet of Things for Future Smart City Using 5G Networks

Abstract: The future of cities lies in blending new technologies with existing infrastructure to tackle tangible, pressing issues such as environmental sustainability and economic opportunities. The enormous pressure towards efficient city initiatives by both government and private sector businesses to invest in Information and Communication Technologies to find sustainable solutions to diverse opportunities and challenges (e.g., waste management). Future smart cities are the key to fulfill the ever growing demands of citizens. Successful smart cities will build a strong, flexible, digital infrastructure that integrates new technology into existing structures. The main goal of a smart city is to optimize city functions and promote economic growth while also improving the quality of life for citizens by using smart technologies and data analysis. According to a new report from @NavigantRSRCH, there are more than 250 smart city projects from178 cities around the world, and the majority focus on government and energy, initiatives, followed by transportation. Keywords: 5G network, Internet of things (IOT), Smart Waste Management System, Safety and Security, Sustainable
Chinese Neural Question Generation: Augmenting Knowledge into Multiple Neural Encoders

Neural question generation (NQG) is the task of automatically generating a question from a given passage and answering it with sequence-to-sequence neural models. Passage compression has been proposed to address the challenge of generating questions from a long passage text by only extracting relevant sentences containing the answer. However, it may not work well if the discarded irrelevant sentences contain the contextual information for the target question. Therefore, this study investigated how to incorporate knowledge triples into the sequence-to-sequence neural model to reduce such contextual information loss and proposed a multi-encoder neural model for Chinese question generation. This approach has been extensively evaluated in a large Chinese question and answer dataset. The study results showed that our approach outperformed the state-of-the-art NQG models by 5.938 points on the BLEU score and 7.120 points on the ROUGE-L score on the average since the proposed model is answer focused, which is helpful to produce an interrogative word matching the answer type. In addition, augmenting the information from the knowledge graph improves the BLEU score by 10.884 points. Finally, we discuss the challenges remaining for Chinese NQG.
News2Mapping: A news events correlation model for news videos

News video is an important way of news communication, and people can easily get news from all over the world through the Internet. However, it lacks in the organization of news video content about temporality, presentation and relevance and fails to express the correlation between news events. In this paper, we present an event correlation model of news videos to organize news content. News content is clustered through topics, and the relationship between events is illustrated through relationship mappings. To achieve this purpose, an XLNet-based language model is presented to extract news keywords and their relationships. The clustering algorithm is designed to obtain news event topic clustering and named entity clustering. At the same time, we build the relationship mappings in news events to visualize the correlation between news events better. The user study is also designed to investigate the performance of our method in news reading and understanding. Compared with peer methods, the news information organized by our method achieves a higher user satisfaction level.
EARMGA and Apriori Algorithm's Performance Evaluation for Association Rule Mining

Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In this paper two association rule mining algorithms were analyzed, one is popular Apriori algorithm and the other is EARMGA (Evolutionary Association Rules Mining with Genetic Algorithm). Comparison of these two algorithms were experimentally performed based on different datasets and different parameters like Number of rules generated, Average support, Average Confidence, Covered records were detailed.
P. L. Chebyshev - scientist, teacher and scientifi fi

The article is devoted to the scientific and pedagogical activities of Pafnuty Lvovich Chebyshev (1821 -1894) -one of the greatest mathematicians of the 19th century, the founder of the theory of synthesis of mechanisms, the author of fundamental results in the field of probability theory, who transformed this science into one of the most dynamically developing branches of mathematics and mathematical natural science, the author of remarkable achievements in number theory, function theory and mathematical analysis and in other branches of mathematics, the creator of the brilliant Petersburg mathematical school, who, together with Ch.Hermite, K. Weierstrass, J. Sylvester, G. Mittag-Leffler, acted as one of the leaders of the newly emerging world mathematical community.
THE IMPACT OF LEADERSHIP STYLES ON EMPLOYEE TURNOVER IN THE ORGANIZATION

The development of human resources that finds an important practical application in enterprises from the developed world, account facts which refer to the conclusion that satisfaction of employee can greatly contribute to increasing productivity in enterprises and in states from whole world.Today, businesses are facing major challenges, resulting from rapid changes in technology, organizations and the overall business environment. These challenges include a number of aspects, such as economic, legal and regulatory issues, environmental and ethical dilemmas. That is exactly what imposes the need for effective leadership to lead the organization forward. Leadership is an influence on the behavior of others, so the leader directs employees towards the pursuit of goals. Here you can see the role of the leader, which is his help and support in dealing with the employee turnover in the organization.The purpose of this paper is not only highlighting the importance of the problem, but offering more adequate ways to manage employee turnover and developing the capacity of organizations for their long-term development.
Transport recognition and control of drones equipped with iris hands

It recognizes and controls the transported object of the drone equipped with the iris hand. This hand has many suitable features as a drone end effector. Recognition accuracy and coordinates are important when recognizing and grasping a transported object. Therefore, in this research, we introduce a position estimation system using a camera and a communication system using ROS, and construct and control a system assuming automatic transportation in an indoor environment.
Difficulties and Some Solutions Suggest Learning English for Students of English Language Department, Sai Gon University

English is a second language to become inseparable and compulsory in every college and university today. To learn a second language, a physical, intellectual and emotional involvement is needed to successfully send and interpret linguistic messages. However, compelling student not majoring in English to lean English as a subject while their jobs-to-be does not need English at all is a prominent reality. The students are forced to study in a stressful condition, therefore they always feel nervous and bored and the results reflects everything. This reality won’t exclude the studying environment in the Preschool Education Faculty in Sai Gon University. In this study, our objective is to investigate the handicap in English studying performance of students in the Preschool Education Faculty in Sai Gon University by pointing out the difficulties presented in the research as well as drawing solutions to fix these problems. We also propose some utilitarian references for related researchers especially aiming at students with low level. We select participating students randomly from among the students of the faculty of Preschool Education in the Saigon University to complete the questionnaire consisting of 10 questions. The students selected are seniors in order to narrow down the field studied. Results indicated that students find difficulties in learning English because of their low level and since English is a compusory subject, they are forced to study, consequently their performance is bad. Also, the results revealed that their teaching career in the future won’t need English, as a result, they are not interested and do not have motivation to study English. These results implicate that academic teachers should build an interesting classtime accompanying with good teaching method. Teachers’ attitude should be friendly so that students are able to immerse and absorb in an interesting class and they will advance in just a blink.
Towards Better Support for Machine-Assisted Human Grading of Short-Text Answers

This paper aims at tools to help teachers to grade short text answers submitted by students.While many published approaches for short-text answer grading target on a fully automated process suggesting a grading result, we focus on supporting a teacher.The goal is rather to help a human grader and to improve transparency rather than replacing the human by an oracle.This paper provides a literature overview of the numerous approaches of short text answer grading which were proposed throughout the years.This paper presents two novel approaches (answer completeness and natural variability) and evaluates these based on published exam data and several assessments collected at our university.
Introduction to Experimental Methods in Cognitive Neuroscience

This chapter provides some basic background information on the methods that cognitive neuroscientists use to measure the brain's structure and function. One of nature's great mysteries is how the brain gives rise to our thoughts, our feelings, and our behavior. The overall goal of cognitive neuroscience is to explain how the brain enables us to think and function in our everyday lives—for example, allowing us to respond to stimuli in our environment, make decisions, remember facts and personal events, and interact. Cognitive neuroscience research often uses a well-controlled behavioral task to isolate a neural process. The methods described so far all involve measuring neural activity, either directly or indirectly, to determine the neural correlates of a cognitive process. The task could be something that has been used over many decades of research or something that is designed specifically to address the project's specific research question and hypothesis.
Application of Recursive Algorithm on Shamir's Scheme Reconstruction for Cheating Detection and Identification

Information data protection is necessary to ward off and overcome various fraud attacks that may be encountered. A secret sharing scheme that implements cryptographic methods intends to maintain the security of confidential data by a group of trusted parties is the answer. In this paper, we choose the application of recursive algorithm on Shamir-based linear scheme as the primary method. In the secret reconstruction stage and since the beginning of the share distribution stage, these algorithms have been integrated by relying on a detection parameter to ensure that the secret value sought is valid. Although the obtained scheme will be much simpler because it utilizes the Vandermonde matrix structure, the security aspect of this scheme is not reduced. Indeed, it is supported by two detection parameters formulated from a recursive algorithm to detect cheating and identify the cheater(s). Therefore, this scheme is guaranteed to be unconditionally secure and has a high time efficiency (polynomial running time).
Efficacy of Manual and Digital Contact tracing of COVID-19

Background: The unprecedented situation unfolded by the COVID-19 pandemic needs tools and measuresof varying degrees. Contact tracing is one of them. Contact tracing has become buzz word these days. Alongwith non- pharmacological interventions (NPI) this is one of the major tools employed by the local healthcare authorities.Summary: The contact tracing measure is major part of the response against COVID-19 pandemic.Methods of contact tracing and its efficient way to carry them out needs to be studied. The efficacy of thecontact tracing mechanism needs strong backing of empirical data upon which research is ongoing. Furthercombining the manual and digital contact tracing is the option authorities needs to check out. Health carehuman resource crunch can be addressed by creating civilian vigilantes to inform the health authorities aboutthe possible suspected case. In case of digital tracing the data minimization and anonymizing the data inwhich there is no name attached with the particular data can used so that doubts about data privacy shouldget vanished. Balancing between controlling case fatality rate and infection rate with the help of proper andadequate resourceful data is the key to effectively control the spread along with easing of restriction and steptowards normalization of lives.Conclusion: More thorough study is needed with numerical data backing to establish the efficacy and therelation between controlling the case count and contact tracing.
Description Of Error Use Of Indonesian Speaking In Stories Completed Of Elementary School Students

The purpose of this study was to describe the Indonesian spelling errors of sixth grade students at SDN 029 Tarakan in writing essays. This becomes a reflection material for teachers, students and schools to make improvements and pay more attention to students' writing skills. Teachers must know the errors in using EBI (Indonesian Spelling) contained in the stories written by students so that mistakes do not occur in other learning. This research also helps students in improving their writing skills. This study uses a qualitative method, namely document review. The results of this study obtained 1) Errors in the use of letters in student essays amounted to 33% of error cases. 2) Word writing errors in students' stories are 27% of error cases. 3) Errors in using punctuation in students' stories are 40% of error cases. The results of this study are expected that teachers who teach focus on providing knowledge, practice and application of the writing process approach, especially Indonesian spelling in essays. And the teacher is able to strive and foster student interest in writing so that students' works are also increasing.
Relationship Of Emotional Intelligence and Learning Activities With Results Of Learning SMP Negeri 14 Palangka Raya

This study aims to determine: (1) Whether there is a relationship between emotional intelligence and mathematics learning outcomes; (2) Whether there is a relationship between learning activities and mathematics learning outcomes; (3) Whether there is a relationship between emotional intelligence and learning activities with mathematics learning outcomes.&#x0D; The population in this study were all VII grade students of SMPN 14 Palangka Raya City in the 2018/2019 academic year consisting of 3 classes with 80 students with a sample of 76 students.. The results of the questionnaire of emotional intelligence and learning activities obtained as many as 30 valid statements. While the trial results of 30 test items obtained 25 valid test items. Normality test of emotional intelligence data obtained values , nce learning activities gained value , and test data on mathematics learning outcomes obtained grades , while the value in the table is . After values compared to value in the table, note that for all data are normally distributed. Thus, the tool used to test the first two hypotheses is the product moment correlation and the third multiple correlation. The results of the analysis of hypothesis testing with a sample of 76 students and a significant level , can be collected; (1) There is a significant positive relationship of emotional intelligence with mathematics learning outcomes with grades r = 0,41 and = 3,90 ? = 1.9908; (2) There is a significant positive relationship of learning activities with mathematics learning outcomes r = 0,546 serta = 5,61 ? = 1.9908; (3) There is a significant positive relationship between emotional intelligence and learning activities with learning outcomes in mathematics, values ??are obtained R = 0,59 dan = 20,467 ? .