Reviewerly/exHarmony huggingface dataset:
Analisis Studi Komparasi Metode Pembelajaran Problem Based Learning (PBL) Dan Contextual Teaching And Learning (CTL) Terhadap Pencapaian Prestasi Belajar Ekonomi Siswa Kelas XI SMA N 1 Mejayan

The purpose of this study was to determine whether there were differences in the effect between the learning method PROBLEM BASED LEARNING (PBL) and CONTEXTUAL TEACHING AND LEARNING (CTL) on the achievement of economic learning competence on the subject of tax for high school students in class XI semester 1. This study used a real experimental method (CTL) true experimental research). The study population was all students of class XI of SMA N 1 Mejayan, consisting of 5 classes, with many students in each class of 40 to 45 students. Samples were taken by cluster sampling technique of 2 classes, the selected class is XI Social Sciences 2 class as experimental class I and XI Social Sciences 3 as experimental class II. Data collection techniques using the test method. Testing the requirements analysis of the normality test used the Shapiro Wilk method and the homogeneity test used the Levene method. The data analysis technique used is the t test. Based on the results of the study it can be concluded: There is a difference in the effect between the learning method PROBLEM BASED LEARNING (PBL) with the method of learning CONTEXTUAL TEACHING AND LEARNING (CTL) on the achievement of economic learning achievement on the subject of tax for high school students in class XI semester 1. This is indicated by the value of t arithmetic of -11.215 at a significant level of 0.05 that is equal to 0.041 so that the significant value is smaller than 0.05 (probability 0.041 <0.05). The average change in economic learning achievement on the subject of tax for PBL class is 1.68 and for CTL class is 3.03. Therefore, the CONTEXTUAL TEACHING AND LEARNING (CTL) method is more influential in improving learning achievement.
Image Data Software Component Design and Development for Faster Image Processing

Most software engineers rely too much on the operating system (OS) built-in software components when developing software. The Bitmap software component is one of those software component classes which is mostly used when developing a software which required to view image which has already provided by the Windows OS. Therefore, using the Bitmap component to process image digitally required longer time to accomplished compares to a very simple image processing software such as Microsoft Paint itself and other image processing tools. This problem has indicated that the Bitmap component isn't suitable and not reliable for the software engineers to develop any software which required image processing in their software. In this research, this problem can be solved by designing a new image software component which is so-called as image data which was designed for faster image processing ever. From the experiment result, the image data component can process a digital image a lot faster for about 19 times than the Bitmap component do. By using the image data software component which can process a digital image faster than the built-in Bitmap component can provide the engineer to develop a more reliable and higher performance rather than using the Bitmap component in their software.
О ГОЛОГРАФИЧЕСКОЙ ПРИРОДЕ СОЗНАНИЯ

The article considers the problem of consciousness as an active metaparadigm of our time, which canaffect the development of mankind in the context of leading theories and methodologies of humanitarianknowledge. The author presents revolutionary facts from various fields, which can radically change theunderstanding of human nature, culture and history. Methodological theories take theories of quantum physics and transpersonal psychology, which are the leading of all today. Nevertheless, for example, thepsychological sciences see a crisis when the problems encountered go beyond the well-known Newtonian-Cartesian picture of the world and the fundamental concepts of materialistic philosophy. And also, theresearch focuses on the trends of philosophy and psychology of the New Age (K. Grof), models and thedevelopment of a mechanistic image of the Universe (Newton, Descartes), the development of a new naturalscienceparadigm (D. Bohm), the theory of “implicit order (J. Chu), the theory of the structure of the universe,proclaiming the principle of holography (K. Pribram), the phenomenon of consciousness based on thequantum theory of physics (Roger Penrose), the consciousness of space-field education (M. Mamardashvili),the materialistic psychology of English empirically school (John Locke), discrete of consciousness (Nalimov)and others.
VIRTUAL SPACE AS A NEW TYPE OF ARTIFICIAL ENVIRONMENT

The beginning of the information age is associated with the intensive development of fundamentally new information technologies. On their basis, the screen culture is formed generating the formation and development of the virtual reality sphere. This artificially created space is a consequence of scientific progress, the result of technological innovations. Virtual reality is currently perceived as an integral part of social life, as a socio-cultural environment, as a living space of a person. In turn, the virtual environment affects the man himself. The impact of this sphere is one of the central moments in the profound transformations of the lifestyle and mentality of our contemporary. In this regard, there are complex problems associated with understanding the expansion of screen technology, with the paradox of the existence of artificial worlds. Virtual reality is becoming more and more widespread in various fields, including art, especially cinema, gaming and entertainment. Being an integral attribute of modern civilization, it has a contradictory, paradoxical character. It is marked by an anthropic principle, a variety of interpretations, and polarization of social assessments. The article considers its genetically mediated features, ontological, social, axiological and communication aspects. As a result of this analysis, conclusions are drawn about the emergence of new trends in social life and in art.
THE ARTIFICIAL NEURAL NETWORK (ANN) ALGORITHM IMPLEMENTATION FOR PREDICTING THE AMOUNT OF BOOK SALES AT ERLANGGA PUBLISHER PEMATANGSIANTAR

Selling is one of the main goals of a company after producing its goods. The more goods sold, the more economic value the company is selling. Therefore, the purpose of this study is to determine how much the rate of increase or decrease in the number of book sales at the publisher of Erlangga Pematangsiantar is in the form of prediction. This study uses an Artificial Neural Network (ANN) with the Backpropagation method. Backpropagation is a method that is often used for prediction. The research data is secondary data (sales data) sourced from PT. Publisher Erlangga Pematangsiantar from 2013 to 2017. Data is divided into 2 parts, namely training data and testing data. There are 5 architectural models used in this study, 3-9-1, 3-11-1, 3-15-1, 3-30-1, and 3-31-1. Of the 5 (five) architectural models used, the best architecture is 3-11-1 with an accuracy rate of 80% and MSE 0.13001601. So this model is good for predicting the number of book sales at PT. Publisher Erlangga Pematangsiantar.
Evaluating Privacy During the COVID-19 Public Health Emergency: The Case of Facial Recognition Technologies

The present article aims to discuss how governments have turned to biometric technologies to fight the spread of COVID-19, mainly through the adoption of facial recognition technologies, and the risks to people’s privacy of inadequate measures to protect their personal data. We have identified seven systems from different countries (i.e., China, France, Israel, Poland, Singapore, South Korea, and Russia) that present some form of facial recognition during their operation and pointed out their functionalities and released information on safeguards for data protection. The data collected so far has shown that, in most countries, the necessary safeguards to protect people’s privacy and their personal data in the short-term and long-term, are not receiving sufficient considerations.
Subject Guides: Academic Publishing Sources: Blogs & websites

Books and other materials on academic and scholarly publishing Tips and tricks on writing, research, publishing
Penerapan Algoritma Vegenere Cipher Dan Vernam Cipher Dalam Penggamanan File Text

Kriftografi is one of the branches of subjects whose discussion is about security, data confidentiality and data integrity. But not all security can be solved by cryography. Cryptography can also be interpreted as science or art to maintain data security. When a data can be sent from one place to another, the contents of the data may be tapped by irresponsible parties. To maintain the data file, the data can be converted into a code that cannot be understood by other parties. Encryption is an encoding process that changes a code or data from what is commonly understood, called a plaintext, into a code that cannot be understood, called ciphertext. While the reverse process for converting a ciphertext into a plaintext is called decryption. The process of encryption and decryption requires a certain mechanism and key, and the unity of this system is often called a cipher. By using the classic vegenere cipher method and this cipher, it is expected to be able to secure text files. By encrypting and describing the text file, it becomes safer.
Implementasi Algoritma Turbo Boyer Moore Pada Aplikasi Pengobatan dengan Rempah-Rempahan Berbasis Android

Spices are parts of plants that are aromatic. A flavorful or strong-flavored plant part spice used in small edible quantities as a preservative or flavoring in food. At this time treatment is not only done medically, but can also be done traditionally. However, the problem that occurs with traditional medicine is the lack of existing books that discuss traditional medicine and the lack of information on the internet that discusses traditional medicine, making people prefer medical treatment which of course requires a large cost. The Android-Based Spices Medicine Application is made with the Turbo Boyer Moore Algorithm. Boyer Moore's Turbo algorithm is a variation of the Boyer Moore algorithm. Turbo Boyer Moore has two advantages, namely that it allows to skip the factor of the text and the moore's turbo boyer technique allows turbo shifting.
ELECTRONIC DICTIONARY OF SPORTS METAPHORS AS AN INSTRUMENT TO DEVELOP THE UKRAINIAN COMPUTER LEXICOGRAPHY

The article partially considers the issue of Ukrainian computer lexicography, the development of which requires constant updating and application of new approaches. At the current stage, linguists, as well as experts in the field of philology and journalism, use electronic texts and Internet resources for work and analysis significantly more frequent, rather than traditional printed sources. For fast and high-quality processing of a large array of language units, it is necessary to find tools that would provide both a convenient keyword search in the database and the ability to perform professional analysis of language units «online» according to certain criteria.The proposed study highlights the main directions of development of electronic lexicographic resources on the Internet related to work with various aspects of the Ukrainian language (word interpretation, translation, spelling, word change, etc.) and describes the main advantages and disadvantages of already created dictionaries. The functional possibilities of lexicographical sources of philological orientation available in the «online» mode are analyzed. A few sports dictionaries posted on the Internet, which are closely related to the topic of our study, are considered separately.The authors present the experience of developing a dictionary of sports metaphors, structured in 4 categories: anthropomorphic, sociomorphic, artifact and natural morphological types, within which a system of metaphorical models is built. The dictionary is designed using the MediaWiki mechanism, the parameters of which meet the needs of users and facilitate the maintenance and administration of the site. Systematization of language units and their search on the created site provides alphabetical and categorical principles. The developed prototype of the electronic dictionary is one of the tools for teaching students of philology and journalism, a platform for conducting their own research, as well as a segment of the Ukrainian media space that can meet the probable search queries of users.
KNOWLEDGE MANAGEMENT SYSTEM PROVISIONS ON THE IMPORT OF CONSIGNMENTS AT CUSTOMS AND EXCISE SUPERVISION AND SERVICE OFFICE PASAR BARU

The activity of importing goods has the potential to experience obstacles or problems in the processing through Customs and Excise due to various kinds of requirements that must be met. So that knowledge management is needed by importers who will carry out import activities because it can increase knowledge in the process and delivery requirements. In order to maximize knowledge, efforts need to be made to create a website-based knowledge management system that is expected to be a solution to these needs. The method used in this study is the Becerra-Fernandez framework method for data collection and processing in determining knowledge management solutions. It also uses the waterfall method for system development using the System Development Life Cycle (SDLC) approach.
USING DIRECT METHOD IN TEACHING READING COMPREHENSION

The objective of  this research was to find out whether or not it is effective to teach reading comprehension through direct method to the eighth grade students of the State Junior High School 44 of Palembang. This study used a quasi -experimental method where the way of this method compare of two groups namely the experimental group and control group. The differences between them were in experimental group given treatment by using direct method; meanwhile in the control group was not given treatment. The population of this study was all  the eighth grade students of the State Junior High School 44 of Palembang. There were nine classes or 332 students, and two classes or 74 students were taken as the sample of the study by using  purposive non random sampling. In collecting the data, the researcher gave the test. The number of questions are 20 items.  The test was given twice namely, pretest and posttest. The items of the test in the post-test were exactly the same as those in the pre-test. It was calculated by using SPSS 16.0.  From the result of the research, It  indicated that  the students’ average score of the post-test in experimental group was 80.81 and the students’ average score of post-test in control group was 72.84. The result of statistical analysis between experimental group and control group t-obtained should be higher than t-table (0.279). Furthermore the result of the students’ score in experimental group and control group (value t-obtained) were 4.462. Since the value of t-obtained was higher than t-table, so that the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. It can be concluded that teaching reading comprehension through direct method to the eighth grade students of the State Junior High School  44 of Palembang was  effective.
An Analysis of Learning Motivation of Korean Learners in Myanmar : Focusing on Korean Certificate Course Learners.

The purpose of this study is to investigate the learning motivation of Korean learners who are studying in Korean Certificate Course at Yangon University of Foreign Languages. In this study, motivational questionnaire was developed and data were collected through questionnaire survey method. As a result, eight motivational factors: ‘interest in Kpop’, ‘interest in Korean language’, ‘job’, ‘interest in Korean dramas and TV programs’, ‘interest in Korean culture’, ‘travel to Korea’, ‘interest in studying in Korea’, ‘interest in a foreign language’ were found. Among them, ‘interest in Kpop’ was a main motivational factor to learn Korean language. In addition, it can be confirmed that there are differences in learning motivation according to learners’ variables. The results of this study will help to develop various Korean language programs in the future by understanding the various motives of Korean learners in Myanmar. Furthermore, it can be used as a basic data to find a teaching strategy that reflects the motivation of the learners for continuous Korean learning.
TDLU Involution and Breast Cancer Risk—Reply

We appreciate the interest of Degnim and colleagues in our article (1). As mentioned in their letter, our previous study consisting of 200 cases and 915 controls from the Nurses' Health Studies showed a suggestive inverse association between visually assessed involution and breast cancer risk [adjusted OR, 0.71, 95% confidence interval (CI), 0.49–1.02, comparing predominant type 1 lobules vs. mixed or no type 1 lobules; ref. 2]. Our current, updated analysis with 288 cases and 1,374 controls also found a suggestive inverse association (adjusted OR, 0.80; 95% CI,0.59–1.07; ref. 1). We demonstrated in a separate article, using the three standardized measures of terminal duct lobular unit (TDLU) involution (3, 4) and an independent set of 40 images, that our automated method was highly correlated with visual assessment (5). As such, TDLU involution, when assessed both visually and by the automated method, was not strongly associated with breast cancer risk among our study participants diagnosed with benign breast disease (BBD) (1).We agree with Degnim and colleagues that the lack of a significant association between automated TDLU involution measures and breast cancer risk in our recent study may be due to limitations of our measurement approach or reflect differences between our study population and the Mayo cohort. We discussed those points in our article, and we mentioned the need for future collaborations to evaluate our automated method in other epidemiologic cohorts (1). We also agree that accurate and unbiased methods to measure TDLU involution are important, and that integration of automated measures of TDLU involution, molecular data, and radiologic features holds promise for improving breast cancer risk assessment. We welcome future scientific exchange to improve our automated method, as well as evaluate computational methods developed by others within the Nurses' Health Studies.
The Nexus between Export Incentive and Export Performance in Ethiopia

The purpose of this study is to examine the nexus between export incentive and Ethiopian export performance from the year 1983 to 2017.The study is conducted by quantitative research method by using time series econometrics analysis.The study employs an Autoregressive Distributed Lag (ARDL) bound test model to cointegration in order to investigate the long run relationship and Error Correction Model (ECM) for the short-run relationship between export and export incentive, real GDP, real exchange rate, gross capital formation, external debt stock and inflation rate.The long-run empirical result using the bound test reveals that there is a stable longrun relationship between real export and explanatory variables.The study finds out that during study period the Ethiopian export composition mainly focused on primary product and Europe was main export destination.In the econometric analysis, the study finds that export incentive has the significant positive impact on export performance both in short run and long run.Similarly, real GDP and inflation have the significant impact on export performance whereas gross capital formation, real exchange rate and external debt have the insignificant impact in short run and long run during the study period.Further, in short run one year lagged values of export and external debt have positive impact on export performance.The coefficient of equilibrating error term suggests that the speed of adjustment (feedback effects towards the long run equilibrium) takes few years for full adjustment when there is a shock in the system.Therefore, export incentive and export performance in Ethiopia have direct relationship both in the short run and in long run.
Deep Convolutional Neural Network-Based Diagnosis of Invasive Ductal Carcinoma

The morbidity rate of breast cancer is among the highest exhibited by all forms of known cancer. It accounts for a high mortality rate in women. Detection in the early stages and corresponding attempts to treatment can help avert the fatality. The most common method used for the screening of breast cancer is mammography. However, the isolation of the breast lesion using this method is quite difficult and requires highly skilled radiologists. The most cardinal form of breast cancer is invasive ductile carcinoma (IDC) where the malignant growth spreads over to the breast fatty tissue after originating from the ducts. The difficulty in the analysis of images for invasive ductile carcinoma, and the time spent on the diagnosis gives rise to the urgent need for an accurate computer-aided diagnosis system. In this effort, we use a deep convolutional neural networks (DCNN) for the automating the detection of invasive ductal carcinoma in the early stages. This would serve as an efficient tool for assisting radiologists in the decision-making process and further save more lives in the long term.
Театр «Новая опера» имени Е. В. Колобова и его роль в культурной жизни Москвы

The article deals with the problems of formation and development of the Kolobov Novaya Opera Theater of Moscow, established in 1991. The theater is celebrating its 30th anniversary this year. This is a unique creative team of a high professional level, which is able to master any musical material of the classical and modern repertoire. Theater in general, and musical theater in particular, has a crucial role for the functioning of the cultural space of the capital. It diversifies and beautifies life, influences the impression of Muscovites, creates a certain comfort and determines the quality of life. The author reveals the social mission of the Novaya Opera Theater. The experience of forming a repertoire and its features are shown.
Research on the Integration of Mobile Learning and Smart Classroom in College English Teaching

In the era of rapid development of mobile communication technology, the widespread application of intelligent terminals not only poses severe challenges to traditional college English teaching, but also brings opportunities for development. Mobile learning can effectively support the construction and implementation of learning-centered smart classroom teaching mode. This paper mainly discusses the integration of mobile learning and English smart classroom, and puts forward the five-step method of smart teaching, which provides ideas for the feasibility of intelligent reform of college English classroom.