Reviewerly/exHarmony huggingface dataset:
Super-resolution reconstruction based on two-stage residual neural network

With the constant update of deep learning technology, the super-resolution reconstruction technology based on deep learning has also attained a significant breakthrough.This paper primarily discusses the integration of deep learning and super-resolution reconstruction techniques.Regarding the application of deep learning in super-resolution reconstruction, the improvement is focused on the two dimensions of algorithm efficiency and reconstruction effect.On the basis of the currently available neural network algorithms, this paper puts forward the two-stage residual super-resolution reconstruction network structure.Thereinto, the improvement is mainly embodied in the modification of the image feature extraction network modules and the increase of the residual block into two stages.It is experimentally evidenced by algorithm simulation that the two-stage residual network in this paper shows a certain extent of improvement for the super-resolution reconstruction effect compared with the related methods.
Minimal Training Set Size Estimation For Sampled-Data Function Encoding

A new approach to the problem of n-dimensional function approximation using two-layer neural network is presented. The generalized Nyquist theorem is introduced to solve for the optimum number of learning patterns in n-dimensional Input space. Choosing the smallest but still sufficient set of training vectors results in the reduced number of hidden neurons and learning time for the network. Analytical formulas and algorithm for training set size reduction are developed and illustrated by two-dimensional data examples.
Architectures for Automated Contractual Cooperation

Every agreement freely entered into is a contract. Some are stated in front of witnesses, other are implied by actions, while yet other are meticulously recorded in lengthy documents. They specify ...
Pengaruh Motivasi Orang Tua Terhadap Prestasi Belajar Siswa Kelas V SD Gugus II

The problem in this study is the lack of parental motivation for children's learning so that children are less enthusiastic about learning. This research is a descriptive quantitative research with a correlation design which aims to determine the effect of parents' motivation on the learning achievement of fifth grade elementary school students in Cluster II. The results showed that there was an effect of parental motivation on the learning achievement of fifth grade elementary school students in Gugus II, Tanete Riattang District, Bone Regency with a tcount value (6.6949) greater (>) ttable value (1.66691) which means H 0 is rejected and H 1 is accepted. . Based on the analysis of the data above, it can be concluded that the motivation of parents and student achievement in the school is carried out well and there is an influence between the two variables. From these conclusions, the impact resulting from this study is the influence of parental motivation on student achievement, it is known that good parental motivation will increase student achievement.
Classification of Crime News on online Newspaper Articles by Applying NB Classifier Through Various Feature Extraction Methods

News is a collection of current events. News cover a variety of topics that include a lot of options namely agriculture, business, economics, education, employment, entertainment, health, politics, technology, world and etc. Certain events that happen unjustly are called crime news. Breaking the law is a criminal offense. Crime news collection aids I providing knowledge in order to prevent crime. In digital enlargement, classification and prediction are some of the most important research areas in this current era. Most of the researches in news classification is focused on news headlines. In this paper, the proposed system focuses on the news main story and classifies the news articles using classification. The machine learning algorithm of Naive Bayes is evaluated and used to classify the news articles automatically as Crime and Non-Crime News. Real-world raw data is not fit for classification algorithms directly because it’s noisy, missing, and comprises of outliers. The appearance of any of these factors will detract excellent results. Text pre-processing techniques are applied to clean the text and NLP techniques of Stop word removal and lemmatization are then applied to enrich the data. The next phase of Feature Extraction uses the Counter Vectorizer, N-grams and TFIDF Vectorizer to extract Features in news data. The proceeding phase usesNaive Bayes algorithm to classify news articles. The classifier result evaluates the matrices of accuracy, precision, recall, and f1 score of theevaluated result.
The Influence of Morphlogical Awareness on Reading Comprehension: A Theoretical Study

The present study attempted to explore the effect of morphological awareness on reading comprehension in social. Larger parts of English words have been made through combinations of morphological components, for example, prefixes and suffixes with base words.Morphological awareness of words can affect proficiency at lexical level, for example, word reading, vocabulary and levels beyond word level, for example, reading comprehension. The paper determined that past studies affirm the positive relationship between awareness in derivational morphology and reading comprehension, the results suggests the need for further research to investigate other contributing factors of morphological awareness affected on reading comprehension.
A Practical Research on the Cultivation of Adverse Quotient of Secondary Vocational Students by Confrontational Sports

In physical education, antagonistic sports games require students to have high physical flexibility and reaction speed. At the same time, they also require students to have strong will and conviction, as well as the spirit of not afraid of hardship, unity and cooperation. Vocational students’ good adverse quotient thinking and anti-frustration ability play a positive role in promoting. Confrontational sports games cover a wide range, such as tug -of -war, wrestling, football, basketball, taekwondo, wrist - wrestling and so on. This article first discusses the importance of adversity quotient education, and focuses on analyzing how to cultivate adversity quotient of secondary vocational students through adversarial sports games.
Penilaian praktikum mahasiswa Poltekkes Kemenkes Yogyakarta berbasis web

Industrial revolution 4.0 or called the digital era which means all aspects of our lives are related to digital devices. Using web-based software can reduce data management problems, both in terms of data storage and data sharing with other users who need data, it also provides fast, precise and accurate data and information that is needed. Sooner or later the education system must evolve following the development of this digital era. For this we need a system for our educations.Make an application for assesing student- practices with web based that can make it easier for students to submit practicum reports, facilitates lecturers in assessing practicum activities and student practices reports.This research is a quantitative study with design research and development study (R and D). first by making an application which was then tested by Lecturers, Instructors, Students at the Polytechnic of the Ministry of Health Yogyakarta. Then the application is approved by Information Technology Experts and users namely Lecturers, Instructors and Students. Quantitative data is created in the feasibility presentation, whether the information system is created is appropriate or not.
Analysis of Difficulties in Chinese Character Learning for Intermediate and Advanced Korean Learners

Chinese characters are beneficial for Chinese learning, but their complexity and high cost of the acquisition have been a factor restricting the development of learners’ Chinese proficiency. Chinese characters are composed of three-dimensional integration characterized as form, sound, and meaning, so their learning difficulties should be many. However, the academic research on the difficulties of Korean learners of Chinese characters mainly focuses on the study of the challenging points of the font, and it was based on the researchers’ point of view. Utilizing the method of error analysis to find learners’ difficulties in Chinese characters from top to bottom, fewer studies are conveying the specific difficulties of Chinese characters from the perspective of learners. Therefore, this article will use a hybrid research method to study the difficulties in the three dimensions of form, sound, and meaning in the learning of Chinese characters. For intermediate and advanced Korean learners, the viewpoint of combining top-down and bottom-up and try to fully explore the intermediate and advanced levels. Korean learners’ difficulties in learning Chinese characters and the reasons for the difficulties are to be known to help teach Chinese characters in the future.
PENGARUH MODEL FUN LEARNING DENGAN SUPER MEMORI TERHADAP HASIL BELAJAR SISWA KELAS IX MATA PELAJARAN AL-QUR’AN HADITS DI MTS MAMBA’UL HUDA KRASAK TEGALSARI

This research is an experimental research using pretest posttest control group design. By the population at the same time became the sample in the tryed, I used of two classes, IX.3 and IX.5, each is there are 24 students. The results of this study indicate student learning outcomes of class IX at MTs Mamba'ul Huda before an application of the learning model’s (pretest) have an average of 49.38 in this case it is in the low category. With the frequency of students who completed as many just 9 students with 37.5% percentage  and the frequency of students who did not complete was 15 students with 62.5% percentage. While, after the implementation of the learning model’s (posttest) had an average of 80.0 in this case it was in the good category. With the frequency of students who completed was 19 students with 79.2% and the frequency of students who did not complete was 5 people with 20.8% percentage. Based on these results, it can be concluded from the application of the model’s fun learning with super memory has an effect on student learning outcomes at MTs Mamba'ul Huda in the school year 2020/2021.
STUDENTS' PERCEPTIONS TOWARDS THE IMPLEMENTATION OF MALL IN ENGLISH LEARNING: A CASE IN SENIOR HIGH SCHOOL

Abstract: In this 21st century era therm of Mobile Assisted Language Learning becomes a part of teaching and learning activity in English Education. Mobile Assisted Language learning offers various benefits to both teachers and students. Though, it offers various benefits, in practice it is still debatable thing. Thus, this research was tried to investigate students' perception towards the implementation of MALL in their learning process. The research was taken at Senior High School in SMAN 1 Dukupuntang. This current study use descriptive qualitative method, and the data were collected through open-ended questionnaires and interview to get the relevant data. The present research shows that students tend to have good perception on the implementation of MALL in English Learning. In using MALL, students use several applications and software to help them study about English Language both inside and outside the classroom. By using MALL, students feel that it was more enjoyable and able to get the information quickly. This research also shows the challenges that faced by the students when they use MALL in English Learning activity. In conclusion, this research shows that students' have positive perception towards MALL in English Learning.
First Break Picking Based on Machine Learning

Summary Automatic or semi-automatic picking of the first break is an important task in the seismic data processing workflow, and incorrect picking can have rather serious impact on the quality of the processing results (Wong et al, 2021). In addition, manual picking of the first break is a long task (weeks or months) of routine monotonous work. This can introduce subjectivism into the processing procedure when the picking performed by different specialists can be also different. Also, dividing the territory into some segments for individual pickings adds additional sources for errors in the form of edge effects at the borders of these segments. All such dive errors can appear on speed maps as linear or segmental lanes. Automatic or semi-automatic picking of the first breaks can significantly reduce the level of the errors listed above and obtain uniform corrections over the area.
APPLICATION OF ROLE PLAYING LEARNING METHODS TO IMPROVE SELF-CONFIDENCE AND SPEAKING SKILLS (Study in English Lessons for Class XI SMAN 1 Students West Merapi)

The purpose of this study was to describe the application and the effectiveness of role playing learning method in improving student’s confidence and achievment on speaking af the grade XI at SMA Negeri 1 Merapi Barat. The research method was classroom action research and quasi experimental. The research subject were students of the grade XI IPA 3 term one of the 2019/2020 school year. The quasi experimental sample were the grade XI IPA 1 and XI IPA 2, sampling taking by purposive sampling. The data collection techniques used the observation sheets. The data analysis used t-test The conclusion was that the application of role playing method can improve students’ confidence and speaking skill
Working with Python Frameworks

In the previous chapter, we covered some core concepts pertaining to Jupyter Notebook. In this chapter we will turn our attention to Python frameworks. Because Python web development has been around for quite a while now, Avarious handy Python frameworks were created to make the life of an ordinary developer much easier. That is exactly how we would describe Python for web development.
Forecasting Time Series Data Using Bayesian Regularization

Forecasting or predicting future events is important to take into account in order for an activity to proceed properly. Flights predict the weather forecast, the banking industry predicts the price of currency, the health world predicts the disease, the retail business predicts total sales. prediction or forecasting of events is calculated using past data, usually in the form of time series. Artificial neural networks are capable of forecasting time-series data. Forecasting results with artificial neural network is influenced from the network architecture model is determined, one of which determination of training function. This study uses the bayesian regularization training function to forecast time clock data with several layer count models and the number of neurons.The results obtained with the number of 3 layers and each neuron of 36, 12, 6 for the best process performance, and the number of neurons 24, 12, 6 for the shortest iteration process.
Developing teaching material design of basic English Vocabulary based on interactive multimedia for Elementary School

Teaching English vocabulary to children in the classroom should begin as early as possible because childhood is a golden age when everything may be absorbed simply and rapidly. Language holds the belief that the earlier children learn a foreign language, the easier it is for them to master it, and that children may learn a language more quickly and with less difficulty than adults. This research aims to develop a learning design instructional material model of basic English Vocabulary based on interactive multimedia for elementary students and to increase knowledge and skills of language, especially for elementary school students. Development of learning model and instructional material design followed a research design and development model designed. This research is an extensive process in designing the students' needs and develop the product or course material of basic English vocabulary to increase the ability or skills of elementary students in learning language through interactive multimedia. The sample of this research is the students at one of the elementary schools in Makassar. The research showed a learning model based on the interactive multimedia syllabus and instructional material design of basic English Vocabulary. The researchers suggested that formative assessment be undertaken each time the materials are delivered to determine which components should be modified to increase the materials' instructional and motivating value. Furthermore, summative evaluation should be carried out in order to make a policy decision on whether or not to use instructional materials based on real evidence of their success.
Analysis of Online and Offline Mixed Teaching Mode Based on “Mooc + Spoc”

In the context of the rapid development of internet technology, the emergence of MOOC has a certain role in promoting the realization of education equity in China. In order to further improve the quality of teaching, Chinese educators continue to explore better teaching mode. This paper aims to optimize the blended teaching mode by constructing the teaching mode of “MOOC + SPOC “in computer foundation. In order to improve the influence of classroom teaching, stimulate and improve students ’interest in learning, and provide reference for the improvement and development of the current mixed teaching mode.
Estudio bibliométrico de la producción científica sobre Habilidades blandas en la educación escolar peruana en tiempos de pandemia

Soft ability in the educational context in times of a pandemic is a highly topical issue, due to its personaldevelopment conditions, however, little is known about the research development of soft ability in the current context. Objective. Identify what is the current state of scientific production around soft skills in Peruvian education in the Redalyc, Scielo, Dialnet, Geoogle Academica and REDIB databases in 2020. Materials and methods. It is a bibliometric, quantitative, descriptive and retrospective study, with a final sample of 30 articles of works published in 2020, in journals indexed in the aforementioneddatabases. Results. It was identified that the country that publishes the most issues related to soft abilityin the educational context is Mexico, in 2020 there is real importance in raising the level of production of articles related to the study variable. Discussion It was identified that the most frequent research to pics are related to university educational aspects. Conclusion. Soft ability in the Peruvian educational context is a research field that requires greater attention from Spanish-speaking researchers.
Twists, turns, thrills and spills

A ride on a rollercoaster is a perfect example of physics in action. But there is much more at play than simply gravity and speed when it comes to the thrill of rollercoasters, as Michael Allen discovers
Common risk factors in the returns on digital assets: evidence from cryptocurrency market

Introduction. Digital financial assets are a relatively new phenomenon. More and more, they include virtual currencies, and in particular cryptocurrencies. Both regulators and financial market players are becoming increasingly interested in such assets. Cryptocurrencies have no intrinsic value, and this encourages scientific studies on the problem of price formation and risk management associated with cryptocurrency operations. Most papers on the problem lack a systematic ap-proach and do not provide solutions to a large number of fundamental issues.&#x0D; Purpose. The purpose of our study was to develop a method for the risk analysis of operations with digital financial assets, namely cryptocurrencies.&#x0D; Methodology. In our study, we used parametric methods of data analysis and ma-chine learning methods, description, analysis, synthesis, induction, deduction, comparison, and grouping method. The sample was accumulated between April 2013 and April 2021 and included cryptocurrencies with the market capitalization of over 1 million USD.&#x0D; Results. The study determined the common risk factors for the cryptocurrency market. The risk factors are presented as linear combinations of returns of subsets of cryptocurrencies with dynamically changing weight coefficients. The risk factors were formed based on the market information, which included the price of the cryptocurrency, the trading volume, and its market capitalization.&#x0D; Conclusions. The study demonstrated that the cryptocurrency market is suscepti-ble to market anomalies common to traditional financial asset markets. In addition to the risk factors based on the market capitalization of cryptocurrencies (the size) and their aggregate profitability (the momentum), the article presents statistically relevant risk factors which reflect the growth rate of the market capitalization and the level of illiquidity of cryptocurrencies. In order to explain the market anomalies and the arbitrary strategies based on them, the article presents several factor models of cryptocurrency price formation. These models can be used to develop an in-tegrated approach to the risks associated with operations with digital financial assets.
Scrambling Parameter Generation to Improve Perceptual Information Hiding

Fast track article for IS&amp;T International Symposium on Electronic Imaging 2021: Human Vision and Electronic Imaging proceedings.
Recognizing phishing websites based on a bayesian combiner

Phishing is a social engineering technique used to deceive users, which means trying to obtain confidential information such as username, password or bank account information. One of the most important challenges on the Internet today is the risk of phishing attack and Internet scams. These attacks cost the United States billions of dollars a year. Therefore, researchers have made great efforts to identify and combat such attacks. Accordingly, the present study aims to evaluate the methods of identifying phishing websites. This research is applied in terms of its objectives and descriptive-analytical in nature. In this article, the classification approach is used to identify phishing websites. From a machine learning point of view, if a suitable strategy is used, the ensemble of votes of different classifiers can be used to increase the accuracy of classification. In the method proposed in this paper, three inherently different ensemble classifiers, called bagging, AdaBoost, and rotation forest are employed. In this method, the stacked generalization strategy is used as an ensemble strategy. A relatively new dataset is employed to evaluate the performance of the proposed method. The database was added to the UCI Database in 2015 and uses 30 features that appear to be appropriate for distinguishing phishing and non-phishing websites. The present study uses 10-fold-cross-validation method as an evaluation strategy. The numerical results indicate that the proposed method can be used as a promising method for detecting phishing websites. It is worth mentioning that in this method, an F-score of 96.3 is resulted, which is a good result in detecting phishing.
Heroes to Meet in Virtual Reality; New Media Content Remediation

The Advance Media Tech Lab, established with the support of the government, created VR content using old photos, old media. Using 3D modelling or an actor requires a lot of money but using already created materials can produce VR content at low cost. Understanding the characteristics of VR and coming up with good ideas is the way to create effective VR content.