Reviewerly/exHarmony huggingface dataset:
Social Media Avatars as New Technological Identity in Distance Learning

In the world of increasing technological development and social media revolution students are expected to be extremely motivated.However, a great number of them remain unmotivated, especially in the distance learning process.We conducted a survey at ICT College, Belgrade involving 265 students aged 19-22 regarding student motivation.Our goal was to make distance learning more motivating for students.Being aware and excluding the indisputable social, financial or psychological reasons for decreasing motivation of students in the learning process, our survey revealed that a means of communication itself can influence motivation.We started from the premise that digital life is part of everyday life and that students enjoy it.Therefore, we wanted to exploit the fact that almost all students are social media users.The survey revealed that students suggested Instagram should be used in both learning and distance learning processes.Another interesting conclusion is that students like avatars and suggest that all students should create their avatars and then gather to communicate in a virtual world together with their teachers, which would make lessons and communication much more fun and effective.Finally, according to the surveyed students' suggestions, we suggest creation of completely new technological identitysocial media avatars as the next generation of distance learning trainees.
COMPUTER ORIENTED LANGUAGE LEARNING APPROACH (COLLAP) FOR STRUGGLING READERS

This action research applies the concept of hybrid instruction, as an instrument in developing reading comprehension skills of 35 grade 6 struggling readers of Demesa Elementary School. The study adopts the descriptive quantitative, that gauges the positive effects of technology-based instruction using online learning modules, through the use of computers and or other available digital technology and platforms capable of performing prescribed learning activities. The identified struggling readers engage in 20 stories in whichever they prefer; distant learning or face-to-face instruction. They engage with the online modules through viewing, listening, reading, and comprehension check. To interpret comprehension level, the software generated scores of each pupil in every story are converted to a percentage. Once they had finished the online modules they have undergone a post-assessment test. The result of both pre and post assessment, comparison of data through T-Test Two-Sample Assuming Equal Variance reflects a 66% increase in reading comprehension. This technological approach in ameliorating comprehension skills through established techniques facilitate learners in processing ideas to be able to answer comprehensively. This also shows that digital technology is more motivating among learners especially that their age is inclined in digital media. Pupils are eager and easily learn in times they are interested in things they are doing; intrinsic motivation became part of the comprehension process. The increase in reading comprehension of target participants tells that COLLAP is a powerful tool in distance learning that it can be catered in times when face-to-face instruction is not applicable due to the absence of learners. This also shows that parents have an integral part in enriching their learners' academic performance, their participation, as well as their support, becomes the key factor of children's achievement in both distant learning and face-to-face instruction.
The Usability of Learning Management Systems as a Platform for Distance Learners

This study aims to develop a universal model of e-learning management by hinging upon a range of relevant learning management systems. The ongoing advances in information technology have penetrated through the fabrics of social and business processes. Undoubtedly, this framework has influenced the education industry by modifying approaches and forms of teaching. This study uses two research approaches to achieve qualitative results; acmeological and competency-based. The acmeological and competency-based research approach methods were relied upon in choosing to (1) analyze the design and application-related features of foreign and Russian LMS platforms; (2) develop tools for the e-learning system development; and (3) assess the extent to which e-learning tools meet the preferences of high-potential users of X, Y and Z generations. The relevance of the study lies in the provision of an underlying model of e-learning management. The fundamental modernization within the framework of this research study display a universal concept which can be applied to study the modern methods and approaches to institutional teaching and learning and corporate trainings as determined by the necessity of efficiency of personnel involvement in professional activities. When implementing an e-learning solution, it is necessary to monitor the hardware performance, to keep the hosting servers in function, and to improve the system’s functionality for user convenience. In addition, state educational organizations including schools, colleges and universities, especially in less developed countries with medium and low incomes, prefer traditional teaching methods and move towards an innovative classroom at a slow pace. Practitioners may use this study to further assess and evaluate the learning patterns of learners, especially the younger generation. Researchers may explore and develop new strategies to employ blended e-learning management systems and platforms and thereby comprehend the future of learning. The research findings may be regarded as a step forward in creating convenient and flexible e-learning platforms suitable for the needs of students, diverse institutions, and businesses. Researchers and practitioners should explore advantages and disadvantages of learning management systems as well as their capabilities to supplement traditional and corporate learning by offering a whole spectrum of programs, curricula and instructions.
Klasterisasi Peraturan Daerah di Seluruh Wilayah Jawa dengan Menggunakan Algoritma K-means

The Local Indonesian government generates various legal products. This study aims to cluster the titles of regional regulations in Java. The data are collected from law repositories of all provincial governments in Java. The repository is called as JDIH. The analytical method used is clustering with the K-means algorithm. We divide 1849 regulations into ten clusters. 890 data are in the cluster related to motor vehicle tax, public health and safety.
DESIGN AND IMPLEMENTATION OF AUTOMATED PRICING SYSTEM USING PHP &amp; MYSQL

This paper focuses on the design and implementation of an automated pricing system using international breweries Ilesha as a case study.The research makes a provision for the customization of the program designs in order to accommodate other manufacturing company such as Cadbury, Unilever, Nigeria breweries, Nestle etc.The objectives include reduction of stress, paper work and error, also to increase speed and satisfy customers.The research work proffer a solution to a competitive price changes and assists enterprise on how to quickly respond to price change.This gives rooms for easy & quick price adjustment.In order to achieve all these, design and implementation of an automated pricing system is necessary.This paper presents the design of a web based application called Price Engine by making use of PHP, MySQL, Apache, Dreamweaver, and HTML as design tools.
Application of Pop Up Book Media to optimize Science Learning Outcomes

Science Learning in MI Ma'arif Kumpulrejo 02 Salatiga has not used a variety of active and creative learning media. This causes students to be passive and the lack of student attention to the material delivered by the teacher. Evidenced by the low learning outcomes of students who have not yet reached the KKM determined by the school 65. The purpose of this study was to determine the increase in science learning outcomes through Pop-Up book media in class IV MI Ma'arif Kumpulrejo 02 Salatiga. This research is a classroom action research conducted in three cycles, namely Cycle I, Cycle II, and Cycle III. Each cycle consists of four stages, namely planning, implementing, observing, and reflecting. The subjects of this study were class IV students, totaling 28 students. Data collection methods are interviews, observation, and documentation. The results of this study indicate that the application of Pop-Up book media can improve science learning outcomes in fourth grade students of MI Ma'arif Kumpulrejo 02 Salatiga. Improvement of students who have finished learning from Cycle I to Cycle II 25% and Cycle II to Cycle III 21.42%. Completeness of student learning outcomes in Cycle I 39.29% of students completing study with an average value of 56.07. In Cycle II 64.29% of students completed study with an average value of 68.92, and Cycle III 85.71% of students completed study with an average value of 80.17.
A CMiner Algorithm based Mining Technique to Extract Competitors for Kaggle Dataset

In any competitiveness business, achievement depends on the capacity to make a thing more speaking to clients than the challenge.Various inquiries emerge with regards to this assignment: how would we formalize and measure the intensity between two things?Who are the principle contenders of a given thing?What are the highlights of a thing that most influence its competition?In spite of the effect and importance of this issue to numerous areas, just a constrained measure of work has been given toward a powerful arrangement.In this paper, we present a formal definition of the aggressiveness between two things, in light of the market fragments that they can both spread.The assessment of intensity uses client audits, a plenteous wellspring of data that is accessible in a wide scope of spaces.To address these challenges, a highly scalable framework is used for finding the top-k competitors of a given item which includes an efficient evaluation algorithm and an appropriate index.This framework is efficient and applicable on real datasets with very large populations of items from different domains.
Multilevel Data Integration with Application in Sensor Networks

We study the integration of multilevel data for applications in sensor networks. The data are assumed to be available on the different levels of a complicated stochastic system, i.e., the full system level and the subsystem level. By allowing different multivariate exponential family distributions on the data, our work not only relaxes the distribution assumptions of previous studies to a more general setting, but also provides an overall framework that is suitable for a wide range of applications. Using the maximum likelihood estimation (MLE) technique, theoretical statistical properties of the estimates, including convergence and asymptotic normally, are studied. The proposed method is applied to a sensor network for locating a target using multiple unmanned aerial vehicles. Numerical studies illustrate that the estimation accuracy is significantly improved by integrating data from multiple sources.
An Enhanced Web Base Certificate Verification System

The objective of this work is to design and implement an enhanced wed-based certificate verification system that will assist schools and co-operate organizations to confirm the originality of students' certificate by displaying certificate details, and format with owner's image.This work was motivated by the level of certificate forgery, time wastage and the stress encountered while processing this manually.The system adopted the object oriented and design methodology (OOADM) while the programming language used for the front-end design was Hypertext Markup Language (HTML5), Cascading Style Sheet (CSS3), Bootstrap Frame work and Back end design was achieved with Hypertext Preprocessor (PHP5) and My-Structural Query Language (MySQL).The result after design was an enhanced web-based certificate verification system that was able to verify and authenticate students' certificates and display certificate image after verification process, which could be used to reduce the high rate of certificate forgery not only within the educational system but in other co-operate organizations.
Using Large Pretrained Language Models for Answering User Queries from Product Specifications

While buying a product from the e-commerce websites, customers generally have a plethora of questions.From the perspective of both the e-commerce service provider as well as the customers, there must be an effective question answering system to provide immediate answers to the user queries.While certain questions can only be answered after using the product, there are many questions which can be answered from the product specification itself.Our work takes a first step in this direction by finding out the relevant product specifications, that can help answering the user questions.We propose an approach to automatically create a training dataset for this problem.We utilize recently proposed XLNet and BERT architectures for this problem and find that they provide much better performance than the Siamese model, previously applied for this problem (Lai et al., 2018).Our model gives a good performance even when trained on one vertical and tested across different verticals.* Work done while author was at IIT Kharagpur. 1 Flipkart Pvt Ltd. is an e-commerce company based in Bangalore, India.2 We randomly sampled 1500 questions from all these verticals except Mobile and manually annotated them as to whether these can be answered through product specifications.
VR‐based dataset for autonomous‐driving system

At present, visual recognition systems have acquired wide employment in the autonomous-driving area. The lack of fully featured benchmarks that mimic scenarios faced by autonomous-driving system is the core factor limiting the visual understanding of complex urban traffic scenes. However, to establish a dataset adequately captures the complexity of real-world urban traffics consuming time and effort. In order to solve these difficulties, authors involve virtual reality to develop a large-scale dataset, which trains and tests approaches for autonomous-driving vehicles. Using the label of the object in virtual scenes, the coordinate transformation of a 3D object to a 2D plane is calculated, which makes the label of the pixel block corresponding to the object in the 2D plane accessible. Their recording platform is equipped with video camera models, LiDAR model and positioning system. By using the pilot-in-the-loop method with driving simulator hardware and VR devices, the authors acquire and establish a large, diverse dataset comprising stereo video sequences recorded in streets and mountain roads from several different environments. Their pioneering method of using VR technology significantly mitigates the costs of acquisition of training data. Crucially, their effort exceeds previous attempts in terms of dataset size, scene variability and complexity.
Development of ICT competence in high school students when teaching physics using digital laboratories

Problem and goal. Currently, to school education in Russia is given a lot of attention, both from state structures and from the Ministry of Education of the Russian Federation. Federal State Educational Standards of secondary general education of the Russian Federation define high requirements for the level of training of schoolchildren. In modern conditions of the information society, the school education system is designed to prepare students who form a fundamental system of subject knowledge in school disciplines, develop active, creative, critical, analytical thinking, and ICT competence. Today, those students successfully study at higher educational institutions in the educational process which are widely used information and communication technologies, self-learning and shaping system of fundamental knowledge in university disciplines which are based on modern achievements of world science. Methodology. The development of ICT competence in high school students in teaching physics will depend on success rate of: improving the goals, objectives and content of teaching physics using digital laboratories together with educational Internet resources; implementing didactic principles of teaching physics using digital laboratories together with educational Internet resources, as well as forms, methods and tools for teaching physics using digital laboratories together with educational Internet resources. Results. At laboratory workshops in physics in the conditions of using digital laboratories together with educational Internet resources, high school students acquire the skills to apply modern computer technologies. High school students gain experience in analyzing the results of experiments on various physical processes and phenomena using digital laboratories together with educational Internet resources. High school students acquire in-depth knowledge not only of subject knowledge in physics, but also of the potential of digital laboratories and information technologies. Such knowledge, skills and abilities allow high school students to develop ICT competence. Conclusion. Developed in the process of teaching physics in the conditions of joint use of digital laboratories and educational Internet resources, ICT competence will allow high school students to be a successful student after graduation, entering a higher educational institution.
Facing Global Health Crises Using Mobile Communications: An international virtual exchange experience

This work reports on an international virtual exchange experience based on a digital health discipline that embedded a shared module with curricula addressing mobile communications to face health crises. This course took place in the context of COIL through a partnership between the Federal University of Pernambuco and the SUNY Downstate School of Public Health. The purpose of the experience was for students to develop skills to collaborate in teams made up of health professionals from different countries. The students were able to analyze specific population contexts concerning their communication resources and propose mobile communication strategies to face health crises.
Statistical survey and comprehensive review on human skin detection

With the advancement of data society today, pictures have turned out to be increasingly imperative. Automatic detection of human skin has been an area of active research for the past few years. Human skin detection assumes a vital job in a wide scope of picture preparing applications going from face detection, steganography, face tracking, age detection, discover pornographic images, the discovery of skin diseases gesture analysis and substance based picture recovery frameworks and to different human PC association spaces. Detecting human skin in complex pictures have ended up being a difficult issue since skin shading can fluctuate drastically in its appearance because of numerous variables, for example, illumination, race, maturing, imaging conditions, and complex foundation. In this study, we will study and analyze skin researches, where we will treat the weakness of previous research of survey on human skin detection methods. The reason for this investigation is to give a state-of-the-art study on human skin molding and detection methods in 1998-2019 periods. Furthermore, this research presented the statistical study for each issue stated before. We finish up with a few ramifications for a future course. Study results will benefit all researchers who are interested in human skin detection topic.
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task

This paper describes the University of Maryland's submission to the Duolingo Shared Task on Simultaneous Translation And Paraphrase for Language Education (STAPLE).Unlike the standard machine translation task, STAPLE requires generating a set of outputs for a given input sequence, aiming to cover the space of translations produced by language learners.We adapt neural machine translation models to this requirement by (a) generating n-best translation hypotheses from a model fine-tuned on learner translations, oversampled to reflect the distribution of learner responses, and (b) filtering hypotheses using a feature-rich binary classifier that directly optimizes a close approximation of the official evaluation metric.Combination of systems that use these two strategies achieves F1 scores of 53.9% and 52.5% on Vietnamese and Portuguese, respectively ranking 2 nd and 4 th on the leaderboard.
Digital Monitoring Experience in Digital Media and the Internet

Nowadays, parents face the challenge related to social media use problems of their children, as the internet and related technology is more advance than previous days.Nevertheless, the young generation is enthusiastic about digital technology.The paradox of internet use in young and older generations has a different meaning as it widens the digital literacy gap.This study aimed to explore digital monitoring on the experiences of 123 participants.They were divided into four focus groups based on the stages of family development i.e. a group of single and new couples (n = 54), a group of families with children aged 0-6 years (n = 24), a group of families with children aged 7-11 years (n = 26), and a group of families with children over 11 years old (n = 29).There were 17 participants actively giving their thoughts, feelings, and experiences to focus group discussions within two hours of conversations.Using the Grounded Theory method and MAXQDA assistance of the 2018 version, we categorized themes based on 571 code systems.The topics discussed were digital monitoring strategies, digital paradoxes, digital parenting, role synergy, experiential learning supported digitally, and privacy.The contribution of this research to digital monitoring theories is the exploration of participants' contextual experiences.
APLIKASI SCREENING OF REPRODUCTIVE HEALTH (SHE) DALAM UPAYA PENINGKATAN KESEHATAN REPRODUKSI WANITA

Anemia, vaginal discharge, menstrual disorders, dysmenorrhea are some of the reproductive health problems experienced by women both on a mild to severe scale. And some can be fatal to death. However, reproductive health problems are not balanced with the level of knowledge by women about the problems experienced. So it is not uncommon, the women only realize after the situation is getting worse. Therefore an information system is needed that can help women early detect reproductive health problems experienced by women, one of them with an expert system. The purpose of this study was to create a Screening of Reproductive Health (SHE) application in an effort to improve Women's Reproductive Health. The research method used the expert system design method by coding and decision tables, making decision trees and flowcharts. conduct stages of data collection in the form of problem domain discussions with experts, literature studies, decision tree discussions with experts and trials to 30 respondents. The results showed that the expert system had been made according to the design and had produced the solutions needed in reproducing reproductive health along with suggestions and recommendations from the diagnosis results.