Reviewerly/exHarmony huggingface dataset:
USING ASSET BASED THINKING METHOD TO IMPROVE STUDENTS’ SPEAKING ABILITY AT THE SECOND GRADE STUDENTS OF SMKN 3 MAKASSAR

The objective of this rescarch is to know whether or not the implementation of Asset Based Thinking Method can improve students' speaking ability at the second-grade students of SMKN 3 Makassar. This research used a pre experimental method with one group pre-test and post-test design. The population of this research was the second-grade of SMKN 3 Makassar. The total sample was 20 students. The result of the data showed that the mean score of post-test was greater than the pre-test (9.85 >7.05) and the t-test value was greater than the t- table value (12.457> 2.093) at the level of significant 0.05. It was proved by the result of the three components of speaking. (accuracy, fluency and comprehensibility) where the post-lest result was higher than the pre-test. So, it can be concluded that Asset Based Thinking Method significantly increase students' speaking ability at the second-grade of SMKN 3 Makassar.
Arrangement of Rhythms and the Operation of a Machine in Lee Yuksa’s Poetry

This study basically aims to investigate the arrangement of rhythms in Lee Yuksa’s poetry. The rhythm was originally generated from the sound signal to extend the limited space of the body to the limitless ground. The investigation of rhythms in this study means, after all, a political act on the territory of the subject who creates and arranges rhythms, in other words, the examination of the process of losing the territory, or reterritorializing the lost territory. At this time, the artistic methodology of rhythm is the aspect of temporalization and spatialization of the sound itself or the aspect as the meaning of metaphor or metonymy modified to suit the medium of text. In sum, in this study, the rhythms of sound and sense are referred to simultaneously. In the studies of Lee Yuksa’s literature, a study of the rhythm as a discourse and rhetoric of territorialization has been conducted several times with respective methods. And yet, there have been no studies that traced the generation of meaning, in which territorialization and rhythm premise each other in his poetry. Hopefully, this method will resolve the interpretative dilemma remaining overlooked in his literature. The arrangement of rhythms means the application of the convention and order of the universal rhythm of ritornello, which is the source of the poetic effect, to Lee Yuksa’s poetry. Through this, this study would investigate what unfamiliar and alien rhythms are arranged in his poetry, violating the convention of rhythm. This is to understand the aspects of the reception of Lee Yuksa’s poetry of his age. The operation of a machine is a job to reveal the mechanism by which such unfamiliar and alien rhythms were inserted. This aims to examine the aspect of the reception of Lee Yuksa’s poetry by the posterity and the effect of such unintended rhetoric of a machine.
Implementation Of Students' Project Work Within Digital Environment

Modernization of higher education and increasing the specialist’s competitiveness in recent years remain the priority areas of the development of society. The practice of pedagogical activity of higher education includes more and more project activities, which are fixed by the introduction of the Federal State Educational Standards of Higher Education of the third generation. The article provides definitions of such concepts as "project", "project activity", "project within digital environment". It describes the principles of project-based learning and reveals the characteristic features of students' project activities within digital environment. The authors emphasize various types of projects within digital environment (class telecommunication project, telecommunication educational project, distance multimedia Internet project, mobile Internet project, and smart Internet project). They consider teacher and student activities at all stages of the project life cycle. The article pays special attention to the use of digital environment services during the project life cycle. It describes the method of forming project teams and distributing roles according to the model of M. Belbin. The study has shown that arrangement of project activities within the digital environment provides cognitive interaction of students, development and improvement of their abilities in the process of joint activities, mastering a variety of ways to implement project work, as well as the inclusion of students in the process of solving applied problems.
SCIMAT: Science and Mathematics Dataset

In this work, we announce a comprehensive well curated and opensource dataset with millions of samples for pre-college and college level problems in mathematicsand science. A preliminary set of results using transformer architecture with character to character encoding is shown. The dataset identifies some challenging problem and invites research on better architecture search
A Controllable Source of High-dimensional Entagled Photon Pairs

In quantum communications applications, information can, in principle, be encoded with an alphabet that goes beyond 0 and 1. It can be shown that a higher dimensional alphabet provides greater information capacity and improved security [1] . Temporal modes (TMs) provide such a high-dimensional alphabet and form an appealing framework for quantum information science [2] . Additionally, as opposed to transverse spatial or orbital angular momentum modes, TMs are compatible with spatially single-mode systems.
Online Training On The Development Of Supraprofessional Competencies Students

Modern requirements in the labour market to the level of development of competencies of specialists are formed under the influence of the pace of development of society and the widespread informatization of the environment. In a dynamically changing world, the educational system should form not only professional, technical knowledge and skills, but also new qualities of a graduate, such as teamwork skills, striving for self-development and self-organization, leadership qualities, communicative and emotional intelligence. There is a need for the formation of supra-professional competencies. This requires that learning is transformed through the integration of traditional and modern forms and methods of teaching. One of the effective directions of such practice-oriented training is the use of trainings, including online trainings, which have already proven themselves in the practices of organizations as the most effective ways of personnel development, especially in new or changing working conditions. Online trainings have their advantages: time savings, the ability to ask an "inconvenient" question, including in the chat, a comfortable environment conducive to the perception of information, the ability to re-view, etc. At the same time, the problem of using online trainings for the development of supra-professional competencies remains insufficiently studied and complex in its organization.
Organic matter in forming gold-deposits

Carbonaceous organic matter occurs under various phases and forms, where its fine characterization is mostly restricted to petroleum and coal geology. As a consequence, few studies have integrated the complete link between various forms of organic matter and metals to decipher hydrothermal ore concentrating processes. The study of Dill et al., integrating the concentration of sulfides and oxides with the interaction of silicates and organic matters, is an example of the next step to reach for defining the complex role of organic matter for the formation of orogenic gold deposits.
Waterproofing Membranes Reliability Analysis by Embedded and High-Throughput Deep-Learning Algorithm

The reliability analysis in civil engineering requires an understanding of the stability, durability, and rigidity principles over the planned period of exploitation. We develop a high-performance deep learning algorithm related to the classification of water-repellent-membranes’ defects with consequent reliability analysis. Based on CNN architecture and on the mixed technique which uses K-fold cross-validation with synthetic dataset augmentation, the proposed methodology consists of the sequent transformations of pixel-image intensities to find and to classify damaged fragments on the membrane’s surface. The “domain of confidence” reliability metric is introduced to analyze the further behavior of membranes. The computational experiments showed that the methodology can be successfully applied in near-real time while improving throughput to get conclusive results by projecting AI-based, automated, and embedded devices on-site removing the human error factor.
PERANCANGAN APLIKASI KLASIFIKASI SENTIMEN BERBASIS WEB TERHADAP MATA UANG KRIPTO

Sentiment analysis is a collection of opinions that studies opinions about something like an issue, product, event or topic. In deciding to choose cryptocurrency, the majority of Indonesian people tend to only read the latest reviews about cryptocurrencies and even a few will lead to wrong conclusions. To analyze cryptocurrency sentiment easily and quickly, a sentiment analysis system with a convenient and easy-to-use interface is required. The application to analyze this sentiment is web-based which is made using the PHP (Hypertext Preprocessor) framework by applying the MVC (Model View Controller) concept. This application can import data in CSV format which is then processed into an application using the nave Bayes algorithm in the sentiment classification process which is then evaluated by the confusion matrix method. The reviews are taken from social media twitter and it is hoped that this application will be able to provide classification information accurately, precisely and reliably.
Fuzzy Logic Based Voice Recognition As Per Their Gender And Age Group

Human voice is the very important field in digital speech processing. In the coming technologies every system will be based on the human voice. The system will be locked and unlocked by human voice. In this research, we classify the voice according to their age groups. We can recognize the voice by calculating many various parameters such as pitch, power amplitude and THD and many more. There are many approaches through which we can recognize the gender’s voice such as Hidden Markov Model [HMM], Dynamic Time Warping [DTW] etc. This paper is basically depending on the voice perception system which helps in to differentiate the voice between the gender’s voice and also differentiate the voice depends on age gp to 12yrs children voice with the use of SVM and Gaussian membership function.
Performance Comparison of K-Nearest Neighbor and Decision Tree C4.5 by Utilizing Particle Swarm Optimization for Prediction of Liver Disease

As time goes by, the data owned by a sector will accumulate if not used properly. To process large-scale data, we need a technique called data mining.  Data mining can process large-scale data quickly so that many sectors use this technique for classification, clustering, etc. based on the cases they have. The sector that often applies data mining is the health sector. Usually, activities often found in the health sector are activities to diagnose a disease in patients. This study will discuss performance comparison between two data mining algorithms, namely K-Nearest Neighbor (KNN) and Decision Tree C4.5. Then, the algorithms combine with an optimization, namely Particle Swarm Optimization (PSO). The purpose of this study is to compare the performance of the two algorithms to obtain the best performance, which can later be used as a decision to predict disease. The results obtained indicate that Decision Tree C4.5 with PSO has a better level of performance than KNN with PSO, so Decision Tree C4.5 with PSO can be used in predicting disease. The results obtained are the accuracy value of Decision Tree C4.5 with PSO is 91.26%, and the AUC value is 0.935. Then, Decision Tree C4.5 with PSO in processing data only takes 25 seconds of execution. In this study, to ensure that the two algorithms have significant differences, a trial use t-Test conduct. The results obtained α = 0.007, meaning that the two algorithms have a significant difference, which the parameter requirements, namely α < 0.050.
CRYPTO CURRENCY AND ITS GROWING IMPORTANCE IN FINANCIAL MARKET

With the growing financial markets the value and importance of cryptocurrency is also growing at a rapid rate.. Cryptocurrencies have emerged as important financial software systems. Crypto currency is a digital/ virtual currency. Cryptocurrencies require strong, secure mining algorithms. Cryptocurrencies has shortage of a central authority to mediate transactions because they were designed as a file sharing network systems. They rely on blockchain to validate transactions.
Colorimetrical uncertainty estimation for the performance assessment of whole slide imaging scanners

Purpose: Whole slide imaging (WSI) scanners produce tissue slide images with a large field of view and a high resolution for pathologists to use in diagnoses. Color performance tests of these color imaging devices are necessary and can use stained tissue slides if the color truth is established using a hyperspectral imaging microscopy system (HIMS). The purpose of this study was to estimate the reproducibility uncertainty of CIELAB coordinates for a reference tissue slide measured by both the HIMS and a WSI scanner. Approach: We compared the color performances of the WSI scanner to those of the reference established by the HIMS using the International Commission on Illumination (Commission Internationale de l'Éclairage, or CIE) 1976 ΔEab* color difference with the just noticeable color difference (JNCD, ΔEab*≤2 ), and the results from the overlap of the CIELAB coordinates' uncertainty within the error bar, with a coverage factor k=2 . The reported uncertainty results from measurements and image registration uncertainties. Results: For the blank area common to the HIMS and the WSI average images, the color agreement was higher using the JNCD condition versus the CIELAB uncertainty overlap criterion (82% and 20% of the pixels in the images, respectively). This difference is explained by the fact that numerous pixels have CIELAB coordinates near one another but corresponding to CIELAB uncertainty values small enough not to overlap. In the colored area of the images, the JNCD condition was met for 0.19% of the pixels in the images, compared with 4.3% for the CIELAB uncertainty overlap criterion. Conclusions: The distribution of uncertainties on the CIELAB coordinates was broader for the HIMS compared with the WSI scanner. The WSI scanner had a systemic error in the color reproduction, which pointed to a potential inadequate color calibration of this device.
How to Make Children Love Reading

This paper introduces how to cultivate children's reading habits step by step in three stages. We should strictly control the use of electronic products, and at the same time create a reading environment for children. As long as parents guide them patiently, every child will love reading.
Customer Responses to Service Robots–Comparing Human-Robot Interaction with Human-Human Interaction

This paper investigates how service failures affect customers by comparing human-robot interactions with human-human interactions. More specifically, it compares customers’ satisfaction in a service robot interaction depending on a service failure with the customers’ satisfaction in a frontline service employee interaction. On a theoretical basis, extant literature on the uncanny valley paradigm proposed that service robots would create lower satisfaction than human frontline employees would.
IMPLEMENTASI SRATEGI PEMBELAJARAN UNTUK MENINGKATKAN BELAJAR MENGAJI ANAK BERKEBUTUHAN KHUSUS DI TK INKLUSI PAS BAITUL QUR’AN NGABAR PONOROGO

Children with speech delay special needs are children who experience barriers to communication. ABK speech delay requires special treatment in learning, including in learning the Koran. Learning the Koran is a difficult thing for speech delay ABK because the most important thing in reciting is that someone can pronounce the hijaiyah letters properly and correctly. This study aims to find out how the implementation of learning strategies in PAS Baitul Qur'an Ngabar Inclusion Kindergarten, researchers use a qualitative approach and the type of research used is a case study, to obtain data in this study using observation, documentation, and interview techniques. This study obtained the following results: to improve learning the Koran the teacher applied a strategy with several stages, the first stage was the introduction of hijaiyah letters with flash card learning media, then identification of hijaiyah letters, followed by mouth motor imitation or imitating what the teacher said, and the last stage is to label hijaiyah letters.
Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection

The goal of Domain Generation Algorithm (DGA) detection is to recognize infections with bot malware and is often done with help of Machine Learning approaches that classify non-resolving Domain Name System (DNS) traffic and are trained on possibly sensitive data. In parallel, the rise of privacy research in the Machine Learning world leads to privacy-preserving measures that are tightly coupled with a deep learning model's architecture or training routine, while non deep learning approaches are commonly better suited for the application of privacy-enhancing methods outside the actual classification module. In this work, we aim to measure the privacy capability of the feature extractor of feature-based DGA detector FANCI (Feature-based Automated Nxdomain Classification and Intelligence). Our goal is to assess whether a data-rich adversary can learn an inverse mapping of FANCI's feature extractor and thereby reconstruct domain names from feature vectors. Attack success would pose a privacy threat to sharing FANCI's feature representation, while the opposite would enable this representation to be shared without privacy concerns. Using three real-world data sets, we train a recurrent Machine Learning model on the reconstruction task. Our approaches result in poor reconstruction performance and we attempt to back our findings with a mathematical review of the feature extraction process. We thus reckon that sharing FANCI's feature representation does not constitute a considerable privacy leakage.
Differences in Political Orientation and Foreign Aid Utilization in Africa

This study examines the differences in political orientation and foreign aid effectiveness in Africa. The findings confirm our hypothesis that political parties extend their differences in orientation in utilizing foreign aid in Africa. Precisely, our results show that leftists are more likely to use aid efficaciously on pro-poor growth. On the contrary, rightists are good managers of aid on private sector growth projects. Our results provide a convergence path on foreign aid effectiveness, which has been dominated with contrasting results in the existing literature. The results also give a grasp of how foreign aid can better be allocated to Africa.
LEVELS OF MASTERY OF MODERN PEDAGOGICAL TECHNOLOGIES

Modern pedagogical technologies play an important role in the implementation of the task of ensuring the quality of education. The article lists modern pedagogical technologies. This concept and lists the best options of a number of technologies for the implementation of new modern technologies and use in the process of training, will create conditions for the change of activities of students and helps to eliminate the monotony of the educational environment and the monotony of the learning process, allowing opportunities to meet their educational needs. The level of mastery of modern pedagogical technologies is divided and listed, and the theoretical and practical effectiveness of the educational process is considered. Pedagogical technologies are divided and listed stages and stages in the learning process. The concept of the main reasons for the emergence of new psychological and pedagogical technologies and definitions of the concept of "pedagogical technology"is given. Stages of the information and communication technology application system.
Public Health Services and Technology Inclusion in Poverty Alleviation and People’s Economic Independence

This research studies the role of health services and technology adaptation in poverty alleviation and improving human resource performance as reflected in economic growth. This study uses secondary data from world banks and processed regression using the moving average autoregression method. We find that from the estimation results, health investment together with technology inclusion is positively related to economic growth. And, poverty is negatively related to economic growth. This indicates that human health services and technological inclusion in Indonesia are very important in maintaining the productivity of the Indonesian people which is reflected in the economic growth in Indonesia and is very important in reducing poverty.
Optimized Continuous Hand Gesture Segmentation and Recognition based on Spatial-Temporal & Trajectory Information

Human Computer Interaction (HCI) provides a more intuitive way of interacting with computers and has long been an important and popular research field. HCI is emerging in various industries including multimedia and gaming and it is mainly supported by hand gestures. Ubiquitous computing makes hand gesture inputs even more attractive. The variations in gesture duration and unknown start and end points are the key issues in recognizing continuous gestures, thus lowering the performance of predictable recognition algorithms. In this research, we primarily present a study on issues and limitations of hand gesture recognition. Later, we recommend an outline for ‘Continuous Hand Gesture Segmentation and Recognition (CHGSR) based on Spatial-Temporal and Trajectory Information (STTI)’. The framework utilizes cognitive Deep Learning Networks and outperforms in recognizing continuous hand gestures.  We utilized TensorFlow and Keras Deep Learning Libraries for implementing our Deep Learning Network. The experimental evaluation of the framework is done using a video dataset of hand gestures recorded by three different persons in different sessions. The videos are recorded using Microsoft Xbox Kinect sensor. In presence of continuous gestures and different gesticulation behaviors, the tentative results signify that the proposed framework has a high recognition accuracy and F-score of up to 0.98.
Educación y escuela en España en tiempos de pandemia

The work we offer aims to problematize the new education that emerged because of the health crisis. The methodology focuses on taking advantage of the sources of information available in the documentary archives of public organizations (reports and statistics) and of the bibliographic documentation (academic). The results of the analysis lead us to a trilogy of interpretation: the socio-educational perspective of the crisis, the differential involvement and response in relation to public/private education and the new interpretation of social participation in education. Finally, the impact of the pandemic on education and a call to attention to the use and/or abuse of online education.