Reviewerly/exHarmony huggingface dataset:
The Correlation between Students' Intelligence Level and their Achievement in Learning English

The objective of the research was to find out the correlation between the students intelligence and their achievement in learning English at SMPN 27 Makassar. The design of this research was descriptive and employed correlational method. The population of this research was the second year students of SMPN 27 Makassar. The technique of sampling applied cluster random sampling which the total of sample was 20 students. The instruments of this research were IQ test and English test. To find out students achievement in learning English, the researcher tested the students using multiple choice test that consisted of materials from their handbook. To find out the level of students intelligence, the Psychological Department Team of State University of Makassar was given IQ test. To find out the correlation from both variables, the researcher used Pearson r formula. The result of the test shows that most of the students’ intelligence was categorized as dull average and the students’ achievement was 6.35 which is categorized as fair achievement. The result data found that there was no significant correlation between the students’ intelligence level and their achievement in learning English at the second year of SMPN 27 Makassar.
Description of Santri Preparedness for Fire Disaster Management in Pondok Karya Pembangunan Islamic Boarding School Manado City 2020

Preparedness is a part of the disaster management process which aims to prevent and minimize disaster risk which is pro-active before a disaster occurs. Fire disasters can occur anywhere, including in the Islamic boarding schools, this is because in the pesantren there is not only a teaching and learning process, but also most of the students' lives are carried out in the pesantren. The aims of this study was to describe the fire disaster preparedness of the students at Islamic Boarding School Pondok Karya at Manado City. Type of this research using analytic survey with a cross sectional approach, with a total sample of 89 people was taken using accidental techniques. The results of this study showed that as many as 60 students (67.4%) have a level of preparedness that is ready to cope with fire disasters with a good level of knowledge (47.2%) on fire management procedures although only 33 students (37.1%) knew how to use fire extinguisher. Statistical test result using chi square test that there is a relationship between the level of knowledge (0.002) and attitude (0.000) with the level of preparedness in fire disaster preparedness at Islamic Boarding Scholl Pondok Karya at Manado City. Recommended for Islamic Boarding School Management are required to provide education on fire disaster management preparedness to students at least once a year, so that if a fire disaster occurs, the risk can be minimized.
Study on Numerical Solutions to Hyperbolic Partial Differential Equations Based on the Convolutional Neural Network Model

In recent years, artificial neural networks developed rapidly. Application of this method to partial differential equations became a new idea for exploring numerical solutions to differential equations. Compared with the traditional methods, it has some advantages, such as a wide range of applications (i.e. the same model can be used to solve multiple types of equations) and low meshing requirements. In addition, the trained model can be directly used to calculate the numerical solution at any point in the computation domain. The weight coefficients in the traditional finite volume method were optimized based on the convolutional neural network model to get a new numerical scheme with highresolution results on the coarse grid. The proposed model helps solve the Burgers and level set equations efficiently and stably with high accuracy.
Learning To Resize Images for Computer Vision Tasks

For all the ways convolutional neural nets have revolutionized computer vision in recent years, one important aspect has received surprisingly little attention: the effect of image size on the accuracy of tasks being trained for. Typically, to be efficient, the input images are resized to a relatively small spatial resolution (e.g. 224x224), and both training and inference are carried out at this resolution. The actual mechanism for this re-scaling has been an afterthought: Namely, off-the-shelf image resizers such as bilinear and bicubic are commonly used in most machine learning software frameworks. But do these resizers limit the on task performance of the trained networks? The answer is yes. Indeed, we show that the typical linear resizer can be replaced with learned resizers that can substantially improve performance. Importantly, while the classical resizers typically result in better perceptual quality of the downscaled images, our proposed learned resizers do not necessarily give better visual quality, but instead improve task performance. Our learned image resizer is jointly trained with a baseline vision model. This learned CNN-based resizer creates machine friendly visual manipulations that lead to a consistent improvement of the end task metric over the baseline model. Specifically, here we focus on the classification task with the ImageNet dataset, and experiment with four different models to learn resizers adapted to each model. Moreover, we show that the proposed resizer can also be useful for fine-tuning the classification baselines for other vision tasks. To this end, we experiment with three different baselines to develop image quality assessment (IQA) models on the AVA dataset.
Harmonious Simplification of Isolines.

Current techniques for simplification focus on reducing complexity while maintaining the geometric similarity to the input. For isolines that jointly describe a scalar field, however, we postulate that geometric similarity of each isoline separately is not sufficient. Rather, we need to maintain the harmony between these isolines to make them visually relate and describe the structures of the underlying terrain. Based on principles of manual cartography, we propose an algorithm for simplifying isolines while considering harmony explicitly. Our preliminary visual and quantitative results suggest that our algorithm is effective.
Publisher Subscriber Services Security and Blockchain Technology

The two types of structures existing are the centralized and the decentralized structures, which can be found in various government, organizations management sectors etc. the decentralized systems prove to be more reliable than the centralized systems with various advantages like the fault tolerant, on time data delivery etc. The type of communication required in the decentralized systems is the asynchronous type which can be achieved by various methods like the including of middleware’s into the system. The services can be of message oriented middleware’s, message queuing or the publisher_subscriber services etc. In most scenario’s publisher_subscriber services are being used, involving the publisher entity (the message sender) publishing and the other is the subscriber entity (receiver) who subscribes. But these kind of systems have a lot of potential threats, like the middleman attack leading to the compromisation of the message confidentiality, authenticity of the message and even the anonymity of the end user. Other issues include the compromization of the third party in between .Various techniques and methods are have been proposed for eliminating these problems. Some Encryption techniques are used, cryptography is being used along other algorithms to solve various faults in the systems. Some new techniques and technologies are implemented like the use of blockchain which fulfils security requirements for the system.
“With Accelerated Reader, we couldn’t want for more," says headteacher

The importance of reading A big focus of Christ Church school in the last couple of years has been to encourage everyone – teachers, parents and ...
PENERAPAN MODEL PEMBELAJARAN INVESTIGASI KELOMPOK BERBASIS GAYA BELAJAR UNTUK MENINGKATKAN KERJASAMA DAN PRESTASI BELAJAR BAHASA INGGRIS SISWA KELAS VIII SMP NEGERI 1 PULAU PINANG

The main purpose of this research is to describe and interpret the application and effectiveness of group investigation learning method based on learning styles to improve collaboration and learning achievement of English students in eighth grade of SMP Negeri 1 Pulau Pinang. The method used in this research is mixed method. The type of mixed research method used is sequential exploratory. This type is most appropriate in classroom action research because in testing hypotheses with quasi-group experiment not conducted randomly, but paired, but there is one controlled variable that is the initial ability of students to be the same (tested the average pretest of the experimental and control classes with the test –T). In this research, the first step will be filled with qualitative data collection and analysis, then collecting and analyzing quantitative data. The techniques used in Classroom Action Research to collect data include observation, tests, and questionnaires. Based on the results of data analysis, the category of cooperation for cycle I was lacking, cycles II and III were good. The average post test score per cycle has increased. The results of the t-test formula calculation for quasi-experiments show that there are significant differences between the grades of students in the experimental class and in the control class. The results of this study indicate that the learning method of group investigation based on learning styles is effective in increasing cooperation and learning achievement of English students in eighth grade of SMP Negeri 1 Pinang in 2019 - 2020 school year.
Analyzing Obscure Instructions and Logic Operators in C

This chapter is designed to take away some of the mystery of C programming. We will look at some obscure instructions and analyze how they work and we will use the debugging mode of MPLABX to confirm our analysis. We will then look at some of the more common logic operators in C and see how they work. To that end, I have come up with a series of programs that I can use to explain these strange instructions. So let’s get to it.
Logic and Cognitive Science

The paper examines the relationship between logic and cognitive science. We consider various aspects of this relationship, among which we distinguish three of the most importance, in our thought. First, it is the role of cognitive science in the justification of logic. Secondly, the mutual influence of cognitive science and modern trends of non-classical logic, which have a clearly applied character. Third, we discuss the prospects of the so-called experimental logic arising from attempts to apply the methods of cognitive science in logic. As usual, the conclusion summarizes the results of the research and focuses on the issue of the status of pure logic.
La Educación Matemática en hogares venezolanos durante la pandemia

The family, as the fundamental basis of society, has always played a decisive role in the education of children. Together with the school, it actively participates in this process, especially with regard to the formation of principles, values and behavioral schemes. In the context of the pandemic, by adopting a non-face-to-face education, this role of the family has been disrupted, also taking on issues specific to the school that are more linked to curricular and pedagogical matters. Each family has performed according to its own characteristics and possibilities. In this article, through the cases of three families, we intend to show what has happened inside Venezuelan homes, emphasizing the way in which Mathematics Education has been approached, its scope and limitations. The analysis of these cases shows that the economic situation, the academic preparation of the parents and the expectations of the family regarding the learning of children have been decisive in the results obtained.
The Development of Sound Book for English Communicative Skills for Taxi Drivers

The current study is based on the communication skills of taxi drives of Thailand. This study is an attempt to highlight various elements to develop a book related to the English communicative skills of taxi drivers. English communicative skills of taxi drives were not examined by the previous studies; therefore, this study is unique in nature. The objective of this study is to examine the effect of verbal communication, written communication, non-verbal communication, problem solving, flexibility and interpersonal skills on English communicative skills of taxi drivers. Data were collected from the taxi drives in Thailand. 300 questionnaires were distributed among the taxi drivers. Data were analyzed by using Partial Least Square (PLS). Finally, results of the study show that verbal communication and non-verbal communication has positive effect on English language communicative skills of taxi drivers. Moreover, written communication also shows positive role to enhance English communicative skills. Further to this, it is highlighted that problem-solving ability and flexibility also shows positive role in English communicative skills. Finally, interpersonal skills also show positive influence on English communicative skills of taxi drivers in Thailand.
Design Response Spectrum for Abu Serga Church

The response spectra for the Faiyum earthquake were selected as the best earthquake for the most effective zone near Abu Serga church to construct the design response spectrum for the church. The original acceleration time history was recorded 10 km away from Abu Serga church over the bedrock of Cairo city at Mokattam area (about 10 Km from Abu Serga church). This is considered to be the first response spectrum done for all earthquakes that ever affected Egypt. Fortunately, this earthquake is regarded as one of the most important earthquakes that affected Egypt in the last 100 years. The maximum acceleration response spectrum maintained for Abu Serga church for the church&#039;s fundamental resonance frequency, which is 5.5 HZ, is about 100 cm/sec2 for 5% damping. As for the other resonance peaks for the 2nd wooden floor and the roof, nearly the same spectral acceleration occurs (0.1 g).
Problem of Forming a Literate Reader in the Digital Age Based on the Material of Modern Children’s and Youth Prose

The purpose of this article is to identify the types of readers’ characters, to study the literary preferences of readers’ characters and the influence that the book has on the inner world, to analyze the positive and negative aspects of the influence of the Internet on the reading process. This study used a content analysis design and a qualitative approach to data analysis. In addition, quantitative analysis was also used to visualize qualitative data using numerical values, fixing elements of the text content (the frequency of different types of readers). As a result of this research, interesting observations were made: reading saves teenage characters from temporary difficulties, puberty rebellion, helps to find their place in life and decide on the choice of a future profession. It also forms a culture of communication and contributes to the maturation of the characters. Using the content analysis method, the authors were able to identify such types of reading characters as developing ( Spoilers by Elena Ozhich, The Perks of Being a Wallflower by Stephen Chbosky, The Book Thief by Markus Zusak), literate ( Anka M and Anka P by Tatyana Mart), unformed ( Death to Dead Souls by Andrey Zhvalevsky and Evgeniya Pasternak), and professional ( Literodura by Yulia Linde, Black Swan Green by David Mitchell). Having considered the problem of forming a competent reader, the authors came to the conclusion about three main agents of influence on the reading taste of a teenager: teachers, parents, and friends. However, in modern realities, the Internet seriously affects the formation of a teenager’s reading taste, and with the help of the use of Internet resources, it is possible to support and promote reading, as well as solve the problem of forming a competent reader.
Early Prediction of Coronavirus Epidemic Outbreak Using Stacked Long Short-Term Memory Networks

Ever since the outbreak of the novel coronavirus (2019-nCoV) epidemic in the city of Wuhan, China, which is the capital of Hubei province on December 31, 2019, the premonition of a global pandemic was always on the cards. Almost all efforts from the governments and statutory authorities have been since invested in curbing the spread of the outbreak by resorting to all possible sorts of early prediction mechanisms. Long Short-Term Memories (LSTMs) have been efficiently applied for time-series predictions of medical data-based diagnosis. In this chapter, we present a four-stacked LSTM network comprising 45 LSTM cells in each hidden stacked layer for early prediction of probable new coronavirus infections in some affected countries (India and the USA) based on real-world data sets that are analyzed using various perspectives like day-wise number of confirmed cases, test cases, number of recovered cases, and death cases, to name a few. The proposed four-stacked LSTM is experimented on the publicly available data sets from the Kaggle website, and it has been observed that the suggested model outperforms the LSTM-based state-of-the-art methods in terms of root mean square error. This attempt is to help the concerned authorities to gain some early insights into the probable devastation likely to be effected by the deadly pandemic. The python code of the proposed stacked LSTM model is also made publicly available in GitHub.
Pengembangan Media Pop Up Book Tema Peduli Terhadap Makhluk Hidup Pada Siswa Kelas IV

This study aims to develop pop-up book learning media and the effectiveness of pop-up book media. This type of research is development research using the Borg and Gall development model. Media development was carried out on the thematic learning with the theme Care for Living Creatures sub-theme Let's Love the Environment class IV MI Ma'arif 18 Trimurjo Central Lampung. The data collection instruments used in this study were a media expert questionnaire, a material expert used to test the quality of the pop-up book learning media, and a student response questionnaire to test interest in the developed media. This research produces a product in the form of a pop-up book learning media in the thematic lesson with the theme Care for Living Creatures Sub-theme Let's Love the Environment. The results of the assessment by media experts got a score of 69.3% in the appropriate category, the assessment from material experts by the teacher got a score of 74.7% in the appropriate category, and material experts by the lecturers with a score of 85.33% in the very feasible category. Meanwhile, based on a trial on class IV students, totaling 20 students at MI Ma'arif 18 Trimurjo, Central Lampung, they got a score of 91% with a very decent category. Thus the pop-up book learning media in the thematic lesson with the theme Care for Living Creatures with the sub-theme Let's Love the Environment is effective and can be used by teachers and students.
The Role of Human Capital Investment in Poverty Alleviation and Improvement of Indonesian Human Performance in Dignified Economic Independence

This research studies the role of human capital investment through the mechanism of improving education and health services in efforts to alleviate poverty and increase economic independence with dignity in the form of improving the performance of Indonesia's human resources which is reflected in Indonesia's economic growth. This study uses secondary data from world banks and processed regression using the moving average autoregression method. We find that investment in education and investment in health is positively related to economic growth. And, poverty is negatively related to economic growth. This indicates that human capital investment in Indonesia is able to promote economic growth and alleviate poverty in Indonesia.
Effective CBIR System Using Color Histogram and Distance Measures

Abstract Interests to precisely retrieve desired images from databases of medical images are developing every day. Certain features define the images; on the basis of those, the retrieval of images is facilitated. These components incorporate texture, color, shape and region. A lot of work has been done in this direction to discover the new ways to use these features in image retrieval process. In this study, we exhibit an overview of the Content Based Image Retrieval (CBIR) methods taking into account texture, color, and shape. In this study, we present a color histogram-based image retrieval system that can retrieve the images by direct image features matching with query image features by using distance classification. Content based access to digital medical images for supporting decision making has been suggested that would facilitate the administration of clinical information and situations. We have actualized new feature extraction based image retrieval and advanced feature extraction methods. For image retrieval, we have utilized color histogram function to extract the features and on the basis of extracted features matching of query image as divergence measure. Proposed retrieval strategy is far better than the conventional techniques that use picture to picture coordinating which builds the time taken in the recovery process. In this work, a complete system of image retrieval which is perfectly balanced in efficiency and efficacy is explored. As compared to previous procedures, we got higher values of precision, recall and F-score. In future, more efficient training methods could also be merged into the study. Keywords: Feature extraction, histogram, image retrieval, precision Cite this Article Punit Soni, Vijay Kumar Lamba, Surender Jangra, et al. Effective CBIR System Using Color Histogram and Distance Measures. Journal of Web Engineering & Technology . 2019; 6(1): 11–14p.
Governance of Privacy Protection: How Laws Will Be Adopted to Address New Technologies?

In accordance with UNCTAD data, out of 194 countries in the world, 132 countries have enacted laws to protect data and privacy. Among them, most of the laws were issued at the beginning of the 21st century. With the continuous development of digital technology, especially the widespread application of big data technology, existing legislation has been unable to deal with the privacy protection risks brought by new technologies. In recent years, Japan, South Korea, and other countries have begun to revise or expand the definition of personal information protection boundaries and content in laws and regulations to protect the personal information of their citizens in response to the development of new technologies. In early 2020, the COVID-19 epidemic suddenly broke out and quickly swept the world, posing unprecedented challenges to healthcare systems, lifestyles, economic development and social stability in countries around the world. Digital technologies and data applications have played an important role in COVID-19 detection and control, but their characteristics have also raised concerns about the security of personal data and privacy. How the law will be adjusted (or has been adjusted) to deal with new technology will be a challenge.This paper selects the countries (EU, the United States, Japan, South Korea, China) that have modified laws and regulations related to data security and privacy protection in recent years as research objects, analyzes their existing privacy protection laws and regulations governance framework, and then analyzes the privacy risks faced to the new technology. In particular, privacy regulations and compliance guidelines for the application of facial recognition, location tracking and distance learning technology during the COVID-19 epidemic. Then, the governance experience in dealing with the relationship between digital technology progress, personal information protection and public health in the special period was summarized. Finally, it summarizes the future development direction of privacy protection governance from the legal level.