Reviewerly/exHarmony huggingface dataset:
“CINDELARAS” KIDS ILLUSTRATION AS A MORAL LEARNING MEDIA FOR CHILDREN

Moral learning can be taught through stories, which act as orientations and role models to stimulate understanding which then becomes the habituation and personal character of the child. In this study project moral learning is presented in stories in the form of comic books, with Cindelaras's story as example. The comic book creation process goes through several stages of the creative process namely the pre-production process, the production process and the post-production process. The main work produced was a dummy form from a comic book titled "Cindelaras: A Boy with Rooster" and several merchandise works as supporters such as bookmarks, key chains, art prints and stickers. All the sequences pages of this comic are visual illustrations that tell the story of Cindelaras' journey in fighting for justice. In this comic also illustrated how Cindelaras behaves to parents, people who need even those who are evil to him. This comic has the main message that every good or bad deed will return to the culprit. This work is analyzed from the technical aspects, aesthetic aspects and illustrative aspects. Technically, the entire work is done in digital format and techniques with Adobe Photoshop CS5 applications, while viewed from an aesthetic aspect, it highlights visual elements that are depicted such as colors, lines, drawing styles, and so on. The illustrative aspect explains how illustrations play an important role in communicating stories in this comic book. Through this comic book illustration creation it is hoped that it can add to children's reading recommendations as a medium of moral learning as well as a means of promotion to introduce native Indonesian folklore.
An Augmented Reality (AR) Experience for Bike Showroom

This project is applied to the concept of AR Bike Showroom Experience (AR.S.E.). The main objective of this application is to give users the ability to see the motorbike they wish to purchase digitally, the user can customize the bike to their liking and generate an invoice giving him an estimate of the same. The user can also view the bike in Augmented Reality, interact with it to see what the real product would be like in their surroundings, and have an overview of the bike beforehand. This application is intended to help users get a sneak peek of the motorbike they aspire to buy. There are other goals the application wishes to achieve. Few of them are -Eliminating the need to physically visit a Bike showroom. Allowing the user to customize and modify the variant of the bike that best suits their taste. Provide comprehensive details about the bike that the user would have to search a lot for. From the Manufacturer side, make the rollout of new models, features, customization options easier and more streamlined.
IS THE INTERNET DISGUISED AS A PERPETRATOR: A STUDY ON THE CYBER CRIMES AGAINST WOMEN IN INDIA

Violence against women is a violation of human rights and not another marvel in India.It has been continuing since time immemorial but only in different shapes and way from time to time in Indian history.The advancement of technology and updated versions of the internet has created new ways of cyber crimes and the women are mostly at the target of these crimes.Most of the cyber crimes take place against women who can be easily exploited.Due to lack of evidences and fear of defamation, identifying criminal is very hard which makes the violators to get away with their crimes.Cyber crime, lately have been emerging as a major challenge that the law enforcement agencies are facing in the country with women and children being at risk of it.According to recent studies, many underage girls and other female victims have committed suicide after their private photographs and information were being released over the internet.The paper puts forward the various crimes that the women in India are subjected to and argues on how the government has failed to match up with the security that is currently needed for the women in the country.It highlights how the spike in cyber crimes has been affecting the women and how it is impacting in their social life.
Tadeusz K. Wiewiorowski

Tadeusz K. Wiewiorowski, 84, died on May 8 in Plano, Texas. “Dr. Wiewiorowski worked 31 years for Freeport-McMoRan developing new technologies in the field of natural resources. He was vice president and director of research and development with Freeport-McMoRan. He was the author of numerous technical publications and an inventor on over 30 US patents. He was a 61-year member of ACS . Dr. Wiewiorowski’s wife, Mathilde Emke Wiewiorowski, passed away two days after he did on May 10.”—Mathilde Young, daughter Vice president of R&D, Freeport-McMoRan PhD, chemistry, Tulane University, 1965 Daughter, Mathilde Young; son, Thaddeus; and three grandchildren To recognize your late loved one or colleague, submit obituary information at cenm.ag/obits.
The Implications of Big Data and Social Media Analytics on Industry 4.0

The world is now in the midst of a massive digital transformation.This transition was so great that the term Industry 4.0 rose to represent the fourth revolution that had occurred in various fields.The fourth industrial revolution continued what had begun in the third industrial revolution with automation and intelligently upgraded computerization through autonomous systems driven by data and machine learning.Because industry 4.0 is very consumer-centric, businesses are forced to innovate to satisfy and make consumers happy about their products.To did so, businesses turned to Big data and social media analytics.These new technologies are used by many companies from various industries such as manufacturing, logistics, and even by political figures to win elections.This article was written to explain the importance of using big data technology and social media analytics in the current industrial era 4.0.
The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers

Abstract Research background: The successful learning of classifiers depends on the quality of data. Modeling is especially difficult when the data are unbalanced or contain many irrelevant variables. This is the case in many applications. The classification of rare events is the overarching goal, e.g. in bankruptcy prediction, churn analysis or fraud detection. The problem of irrelevant variables accompanies situations where the specification of the model is not known a priori , thus in typical conditions for data mining analysts. Purpose: The purpose of this paper is to compare the combinations of the most popular strategies of handling unbalanced data with feature selection methods that represent filters, wrappers and embedded methods. Research methodology: In the empirical study, we use real datasets with additionally introduced irrelevant variables. In this way, we are able to recognize which method correctly eliminates irrelevant variables. Results: Having carried out the experiment we conclude that over-sampling does not work in connection with feature selection. Some recommendations of the most promising methods also are given. Novelty: There are many solutions proposed in the literature concerning unbalanced data as well as feature selection. The innovative field of our interests is to examine their interactions.
A LATENT ASPECT MINING FRAMEWORK FROM TEXTUAL REVIEWS

The problem of latent aspect mining from textual customer reviews is important in knowledge discovery and natural language processing.Given a collection of review texts, it is required to automatically determine aspect ratings for each textual review and identify important aspects for all textual reviews.Existing works on aspect-based sentiment analysis has used deep learning techniques with architectures designed based on neural networks.However, they take a lot of time to learn models and need computer configuration to be big enough.This paper proposes a framework (which contains three sub-tasks: (1) aspect term extraction, (2) aspect category detection, (3) aspect ratings and important aspects determination) using simpler and more efficient techniques based on constrained-KMeans algorithm and word2vec.In experiment, we use a data set of 174615 reviews of 1768 hotels with five common aspects including cleanliness, location, service, room and value.Experimental results show that aspects represented by averaging word vectors are more effective than represented by a bag of word.In general, our model outperforms some other benchmark algorithms.
FORMATION OF DIGITAL COMPETENCE OF FUTURE PHYSICAL EDUCATION TEACHERS IN INNOVATIVE ENVIRONMENT

Bachelor's) and second (Master's) levels of higher education in the Institute of Physical Education and Sports, State Institution "Luhansk Taras Shevchenko National University"; to contribute to the formation of digital competence of applicants in the innovative environment of a higher education institution in order to improve the quality of vocational training of future physical education teachers and to expand the experience of MoPED international project: "Modernization of Pedagogical Higher Education by Innovative Teaching Instruments" (No 586098-EPP-1-2017-1-UA-EPPKA2-CBHE-JP) of EU Erasmus + КА2 program: collaborative projects to develop innovations and share good practices; development of higher education potential. Research methodology is based on the main provisions related to the improvement of vocational training quality in the applicants in innovative environment of a higher education institution based on student-oriented study, research, innovations and trust.Scientific novelty is an attempt of comprehensive understanding of digital learning by the applicants of higher education majoring in "Secondary education (physical education)" due to creation of and innovative educational environment, interaction of students with each other (group work, teamwork), whereas the students are active, self-sufficient, professionally mobile, competitive entities based on the integration of educational, research, sports and creative activities.Besides, the notions of "digital competence of future physical education teacher" and innovative educational environment have been expanded. Conclusion. Development of digital competence standards based on the European Digital CompetenceFramework, creation of an appropriate legal framework and innovative educational environment, active learning community will promote future professional development and digital competence development of future physical education teachers in higher education institutions.It is important to assist students in practical classes, to solve certain issues together, including the research work.It is necessary to create digital environment where students will be able to freely share their ideas and trust each other, to hold debates, trainings, case studies.Thus, it is necessary to change ourselves and to change the environment around us.The applicants of higher education majoring in "Secondary education (physical education)" should understand, be able to use, analyse, filter, evaluate, create, design and distribute digital educational resources.
Expert System to Diagnose Problems Acne Whitening Method Using the Base Case Reasioning

Lack of knowledge about the problem of acne for the people who do not know how to prevent early steps to prevent acne more inflamed. This system can help doctors to facilitate patient diagnosis and can save the patient's medical records for consideration of the results of diagnoses of new problems that will come. Therefore, this study aims to produce an expert system for diagnosing acne problems on the face using the case base reasoning method. The algorithm used for the CBR method is the Nearest Neighbor Retrieval algorithm for determining the value of disease symptom weighting based on: if the symptoms of the selected disease will be the same value of 1 and if the symptoms chosen are not the same will be value of 0 to the symptoms of old disease cases. In this CBR method the system will determine the solution of the problem with the highest level of similarity value which will be chosen as the solution of the new problem.
THE SUBSTANTIVE-PROCEDURAL STAGE OF THE IMPLEMENTATION OF THE TECHNOLOGY FOR THE FORMATION OF AN INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITY FOR FUTURE EDUCATORS

А. І
Educational Development as a Business Project: Traditional and Technological Approaches

The following article analyzes provision of education in less developed countries from the economic perspective.Improvements in the world economy, globalizations, economic and cultural integration requires new sources for development and growth.Less developed country with large population provides potential for growth of the whole world.Investment in the educational programmes for the people with low literacy rates is a profitable project for the multinational companies, governments and societies.Long run projects with uncertain forecasting horizon and high potential returns require financial resources and cooperation.Detailed analysis of two educational systemstraditional and technological provides insight in the advantages and drawback of the both.Implementation of new technologies and on-line education in the less developed countries may bring considerable benefits for the world players and increase in social welfare.
Contact tracing: a global perspective and recommendations for the Indian scenario

We are currently in the midst of a pandemic of SARS-COVID-19 that has spread and increased its reach geometrically in just 3 months. Different countries and states are employing multiple methods to decrease the spread of the virus and decrease its negative impact. The government of India also has taken steps to identify and trace all patients and their contacts. This requires immense input of manpower, finance and technological solutions. Models from India and all over the world act as guides in highlighting the advantages and pitfalls of this method. Models of South Korea, Taiwan and Singapore, where intensive contact tracing measures have been implemented have been successful in controlling the pandemic but have created issues of invasion of privacy. Most successful models, in the developing world have sought out to create a multi-disciplinary dedicated contact tracing team of roughly 2-3 contact tracers per 1000 population. It is important to set up a dedicated team for this so that the already stretched ASHA and other community health workers are not overburdened as more responsibilities might lead do decrease in quality. Such a team, which is sensitive to local customs and armed with basics of contact-tracing techniques, need not be highly educated. Technological solutions that keep user privacy as a priority and encourage transparent sharing of methodologies to ensure user privacy must be promoted. Solutions must ensure dissemination of information from trusted sources and self-monitoring of symptoms.
User Interface Components for Native Mobile Applications With Augmented Reality

A description of the user interface elements for native mobile applications with augmented reality. Specifically, an analysis of the different UI components required for augmented reality apps (for example, support of basic gesture recognition for interactions between the application user and 3D objects, possible color combinations), as well as a comparison between these components.
Performance Measurement of TQM using Integrated Fuzzy-AHP

Performance measurement is regarded as one of the most important and critical tasks in the course of any organization. Measuring performance is the assessment of the possible impact that a proposed plan or project may have on the organizational system, together consisting of the financial, non-financial and operational aspects. The aim of this paper is to propose a performance measurement methodology based on an integrated Fuzzy-AHP approach in the context of total quality management (TQM). In the proposed methodology the criteria weights are generated by a fuzzy-AHP procedure.The fuzzy set theory is a perfect means for modeling uncertainty or imprecision arising from human mental phenomena. The usage of fuzzy sets in describing uncertainties and vagueness in different critical success factors of TQM simplifiesthe complex structure of performance assessment.
Implementasi Algoritma C4.5 untuk Memprediksi Keterlambatan Pembayaran Sumbangan Pembangunan Pendidikan Sekolah Menggunakan Python

The Donation of Educational Development (SPP) School is one of the important components in implementing education, because School SPP is one of the requirements in achieving educational goals. Research conducted by Muqorobin, 2019 with the title "Optimization of the Naive Bayes Method with Feature Selection Gain for Predicting Late School Fee Payments" with Object Research conducted at SMK Al-Islam Surakarta resulted in an accuracy rate of 90%. The research was conducted by using several variables such as the amount of income, family dependents, parents 'educational background and parents' age. The research that will be carried out later will predict the late payment of School Fees by using the Dataset from the research conducted by Muqorobin, 2019 and implemented into the form of programming using the python programming language to produce prediction results. The research results obtained get an accuracy rate of 73%.
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing

Deep learning approaches to semantic parsing require a large amount of labeled data, but annotating complex logical forms is costly. Here, we propose Syntactic Question Abstraction and Retrieval (SQAR), a method to build a neural semantic parser that translates a natural language (NL) query to a SQL logical form (LF) with less than 1,000 annotated examples. SQAR first retrieves a logical pattern from the train data by computing the similarity between NL queries and then grounds a lexical information on the retrieved pattern in order to generate the final LF. We validate SQAR by training models using various small subsets of WikiSQL train data achieving up to 4.9% higher LF accuracy compared to the previous state-of-the-art models on WikiSQL test set. We also show that by using query-similarity to retrieve logical pattern, SQAR can leverage a paraphrasing dataset achieving up to 5.9% higher LF accuracy compared to the case where SQAR is trained by using only WikiSQL data. In contrast to a simple pattern classification approach, SQAR can generate unseen logical patterns upon the addition of new examples without re-training the model. We also discuss an ideal way to create cost efficient and robust train datasets when the data distribution can be approximated under a data-hungry setting.
MR Brain Image Segmentation Using Spatial Fuzzy C- Means Clustering Algorithm

conventional FCM algorithm does not fully utilize the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The spatial function is the summation of the membership functions in the neighborhood of each pixel under consideration. The advantages of the method are that it is less sensitive to noise than other techniques, and it yields regions more homogeneous than those of other methods. This technique is a powerful method for noisy image segmentation.
Modern scientific journal: overlay, crowdsourcing, altmetrics

The scientific Internet space is actively developing due to the activities of competing participants: publishers of traditional journals with paid access for readers and publishers of Open access journals.Paid journals, using the opportunities of their highly profitable publishing business, offer their users a rich environment of access to the materials of articles.Open access journals are looking for ways to reduce the cost of publishing.The new publication overlay scheme significantly reduces the publisher's expenses.
Image Restoration based on Maximum Entropy Method with Parameter Estimation by Means of Annealing Method

Image restoration based on Maximum Entropy Method (MEM) with parameter estimation by means of annealing method is proposed.The proposed method allows spatial resolution enhancement.Using overlap sampling with a low resolution of sensor, high spatial resolution (corresponding to the sampling interval) can be achieved through ground data processing with image restoration methods.Through the experiments with simulation imagery data derived from Advanced Very High Resolution Radiometer (AVHRR) data, it was found that spatial resolution enhancement can be achieved, MEM is superior to the others when S/N ratio is poor (less than 33) while Conjugate Gradient Method (CGM) is superior when the S/N ratio is higher than 33.It was also found that the CGM is superior to the proposed method for the existing sampling jitter.
Data Mining dalam Akurasi Tingkat Kelayakan Pakai terhadap Peralatan Perangkat Keras

Hardware is a computer that can be seen and touched in person. Hardware is used to support student work and learning processes. The hardware should always be in good shape. If any damage should be done quickly. The benefits of this study provide a viable level of data against hardware tools. The purpose of this study determines that hardware that is worth using quickly and precisely so easily can be repaired and replaced. Hard-processed action consists of 12 projectors, 2 units of access point, 6 units of monitors, and 20 CPU units. To see the level of appropriateness regarding hard drives requires a rough set algorithm with that stage: information system; Decision system; Equivalency class; Discernibility matrix; Discernibility Matrix module D; Reduction; Generate Rules. The results of the 40 devices of study STMIK Indonesia Padang subtract college have 10 rules of policy on whether the hardware is still viable, repaired or replaced. So using a rough set algorithm is particularly appropriate to apply in a verifiable level of accuracy to fast and precise hardware.
Faktor yang berhubungan dengan kejadian perdarahan post partum pada ibu bersalin

Postpartum hemorrhage is the loss of more than 500 cc of blood during or after birth. According to the results of the pre-survey conducted by researchers at RSUD Dr. H. Abdul Moelok of Lampung Province found that the number of deliveries with bleeding in 2019 was 78 (7.1 percent) cases of 1098 deliveries. The purpose of this research is to determine whether the factors related on the incidence of postpartum hemorrhage in Dr. H. Abdul Moeloek Lampung Province. The design used in this study is quantitative by using a Case-Control design. The population in this study were all postpartum mothers in 2019 at Dr. H. Abdul Moeloek Lampung Province. The sample used was maternity mothers who experienced bleeding and maternity mothers who did not experience bleeding that is with a ratio of 1: 1 so that the total sample was 156 people. Bivariate analysis in this study used the Chi-Square Test. The results of this study were obtained p-value less than 0.05 which is 0.007 which means there is a relationship between age and the incidence of postpartum hemorrhage, a p-value less than 0.05 which is 0.022 which means there is a relationship between parity and postpartum hemorrhage event, a p-value less than 0,05, which is 0.001, which means there is a relationship between old parturition and postpartum hemorrhage. For RSUD Dr. H Abdul Moeloek of Lampung Province to health workers and related parties in order to provide information to the public about postpartum hemorrhage as well as factors related to postpartum hemorrhage that is expected by the public to understand so as to reduce the number of postpartum hemorrhage events.