Reviewerly/exHarmony huggingface dataset:
Computer-aided Construction of Big Data Mining Platform in Subway Power Supply Network Operation Monitoring

The mining and application of data in sports training through intelligent computer-aided research, this paper proposes a system development and design method to improve the development and design efficiency of the data visualization system and reduce the development cost by using the Python language to handle the high efficiency of system programming and the convenience of charts.Thus, it further improves the efficiency and interactivity of the information management of training data and the convenience and stability of managing training data.This system is a preliminary exploration of Python language and Echarte technology in the management of training data of sports training programs.Because of the integration of training programs with computer application technology and data visualization technology, the system still needs to be strengthened in terms of data processing methods and the diversity of chart styles generated.In the future, the use of artificial intelligence, big data analysis, and other technologies in sports training data management and analysis has more room for development.The model only needs to measure 14 indicators of bipedal closed-eye standing and single-leg closed-eye standing movements to achieve the ability to predict the balance of motor training, and its accuracy meets the clinical requirements.This method has a shorter measurement time and fewer metrics than traditional methods.
AMEX AI-Labs: An Investigative Study on Extractive Summarization of Financial Documents

We describe the work carried out by AMEX AI-LABS on an extractive summarization benchmark task focused on Financial Narratives Summarization (FNS). This task focuses on summarizing annual financial reports which poses two main challenges as compared to typical news document summarization tasks : i) annual reports are more lengthier (average length about 80 pages) as compared to typical news documents, and ii) annual reports are more loosely structured e.g. comprising of tables, charts, textual data and images, which makes it challenging to effectively summarize. To address this summarization task we investigate a range of unsupervised, supervised and ensemble based techniques. We find that ensemble based techniques perform relatively better as compared to using only the unsupervised and supervised based techniques. Our ensemble based model achieved the highest rank of 9 out of 31 systems submitted for the benchmark task based on Rouge-L evaluation metric.
Anxiety As Reflected In Rainbow Rowell's Fangirl Novel (2013) : A Psychoanaltic Approach

This research discusses the anxiety experienced by Cath in Rainbow Rowell's Fangirl Novel (2013). This research was analyzed using A Psychoanalytic Approach proposed by Sigmund Freud. This research aims to analyze the indicators of anxiety, determine the dominant type of anxiety in the novel and reveal the reasons why Rainbow Rowell address anxiety in Fangirl novels. This type of research is descriptive qualitative. The data used are data from the novel, including sentences and paragraphs. The technique of collecting data is by reading repeatedly, taking notes, paying attention to important words, compiling data, selecting data, and drawing conclusions from novels. The data analysis technique used descriptive qualitative. The results showed that Cath experienced two indicators of anxiety, both somatic and psychological. Cath's type of anxiety is more dominant in realistic anxiety, Cath is worried about something real.Keywords: anxiety, psychoanalytic, Fangirl novel
The in-between of line and surface: A line alongside itself

Presentation at the Bendigo International Festival of Exploratory Music, 7th September 2019, alongside the Australian premiere of 'A line alongside itself.'
ONLINE SELLING REGISTERS IN FACEBOOK GROUP SELLING AND BUYING ANYTHING AND THE IMPLEMENTATION OF THE LEARNING OF INDONESIAN LANGUAGE IN SMA

The purpose of this study is to describe the form of abreviation and function of the register language in the Facebook group "Buy and Sell Anything Cilegon Serang Banten". The method used in this research is qualitative method. As for the data collected through library study techniques, refer to the basic tapping techniques and advanced techniques of free and accountable, note taking, and documentation techniques. The data obtained are classified based on the form of abreviation and register language functions. Based on the results of the study found 4 forms of abreviation consisting of 1) abbreviations, 2) acronyms, 3) fragments, and 4) letter symbols. In addition, 5 language functions were found consisting of 1) instrumental functions, 2) representational functions, 3) interactional functions, 4) personal functions, and 5) heuristic functions. The results of this study can be implemented in Indonesian language learning in high school, especially in negotiating text learning.Keywords: Facebook, register, form of abreviation, language functions
THE USE OF ICT IN RELATION TO THE PARAGRAPH WRITING ACHIEVEMENT OF ENGLISH EDUCATION STUDY PROGRAM STUDENTS AT SRIWIJAYA UNIVERSITY

Technology has spread throughout the world and has been used by the world community in the 21 st century era. The use of technology is integrated into almost all aspects of human life, including education in paragraph writing. The objective of this study was to find out whether or not there was any significant correlation between the use of ICT and paragraph writing achievement. The sample of this study was 75 fourth-semester students of English Education Study Program at Sriwijaya University. The sampling technique used was total sampling method. In collecting the data, two kinds of instruments, the use of ICT tools questionnaire and paragraph writing achievement were used. The Pearson Product Moment Correlation Coefficient was used to analyse the data. The correlation coefficient (Pearson Correlation) was 0.591, it means the degree of the correlation was fair correlation and the result of Pearson Product Moment Correlation Coefficient showed that there was a significant correlation between the use of ICT and paragraph writing achievement because p-value (0.000) was lower than (0.05).
Code Based Proficient Transactions Based on QR Code with Biometric Authentication

Now a days the security dangers in the online ex-changes, ATM money withdrawals’ have expanded on a substan-tial scale. Individuals in the country zone are as yet ignorant of these dangers are as yet encountering many loses. Individuals unconscious of these dangers don't perceive that sharing their ATM PIN number, yet additionally sharing their credit/debit card number and CCV can likewise prompt the getting to of financial balance without their insight. In this way, in this proposed framework it is said that the credit/debit card number and CCV are being supplanted with dynamically produced QR codes. This QR code that is created can't be reproduced or hacked as effec-tively as the current framework. In the present framework OTP is sent to authenticate our transactions. This OTP is additionally added with Bio-metric confirmation like unique finger-print, iris information. This provides an additionally improved verification amid all the ATM exchanges. The execution on the above framework is basic as all the financial accounts are now linked with Aadhar card. And this can be implementing the QR code scanner alongside unique finger-print scanner and iris scanner in later stages. This never enables the unapproved clients to access or make any installments without the respective of the account holders. This expands the security level and furthermore enables the client to the exchange cash all the more securely. The pro-posed framework improves the security in the exchanges in our everyday life as no ATM withdrawal or Deposit should be possi-ble without the QR code and the Account holder themselves.
Learning Inference Rules with Neural TP-Reasoner

Most standard deep learning models do not perform logical rule-based reasoning like human and are hard to understand. We present a novel neural architecture, Tensor Product Reasoner (TP-Reasoner), for learning inference rules represented with a structured representation. In TP-Reasoner, we aim to integrate symbolic inference and deep learning: we utilize the ability of Tensor Product Representation in a neural model for learning and reasoning inference rules, which extracts intermediate representations of logical rules from a knowledge base reasoning task. TP-Reasoner achieves comparable results with baseline models. Analysis of learned inference rules in TP-Reasoner shows the interpretability of logical composition via a strong neuro-symbolic representation, a novel model expressivity, and an explicit tensor product expressions.
DDLV: A System for rational preferential reasoning for datalog

Datalog is a powerful language that can be used to represent explicit knowledge and compute inferences in knowledge bases. Datalog cannot, however, represent or reason about contradictory rules. This is a limitation as contradictions are often present in domains that contain exceptions. In this paper, we extend Datalog to represent contradictory and defeasible information. We define an approach to efficiently reason about contradictory information in Datalog and show that it satisfies the KLM requirements for a rational consequence relation. We introduce DDLV, a defeasible Datalog reasoning system that implements this approach. Finally, we evaluate the performance of DDLV.
ENSEÑANZA DEL ÁLGEBRA UTILIZANDO LA HERRAMIENTA DIGITAL KAHOOT (ALGEBRA TEACHING USING THE KAHOOT DIGITAL TOOL)

Resumen Para gran parte de los estudiantes, las matematicas son sinonimo de desanimo, frustracion y angustia, pues la consideran una asignatura dificil, aburrida, mecanica, abstracta y con poca o nula aplicacion practica. La inclusion de las TIC en su ensenanza, posibilita que el proceso de ensenanza y aprendizaje sea atractivo para el estudiante y le permita construir aprendizajes significativos. En este contexto, se propone la implementacion de la herramienta digital Kahoot en la ensenanza del Algebra en el nivel medio superior, pues es una herramienta gratuita que permite la creacion de diferentes tipos de actividades educativas a modo de juego, en la cual los participantes compiten entre ellos y reciben retroalimentacion inmediata sobre su desempeno. El objetivo de esta propuesta, es incorporar el uso de la herramienta digital Kahoot a los procesos de ensenanza y aprendizaje, a fin de influir positivamente en el desarrollo de la autonomia del estudiante para propiciar el aprendizaje significativo de las matematicas. Palabras Clave : algebra, dispositivos moviles, gamificacion, kahoot. Abstract For most students, mathematics is synonymous with discouragement, frustration and anguish, as they consider it a difficult, boring, mechanical, abstract subject with little or no practical application. The inclusion of ICT in their teaching, makes the teaching and learning process attractive to the student and allows him to build meaningful learning.In this context, the implementation of the Kahoot digital tool in the teaching of Algebra in the upper middle level is proposed, as it is a free tool that allows the creation of different types of educational activities as a game, in which participants compete between them and receive immediate feedback on their performance.The objective of this proposal is to incorporate the use of the Kahoot digital tool into the teaching and learning processes, in order to positively influence the development of student autonomy to promote meaningful learning of mathematics. Keywords : algebra, mobile devices, gamification, kahoot.
An Analysis of the Concepts of Direct Proportion in &lt;Mathematics1&gt; Textbook Under 2015- Revised Curriculum Based on Freudenthal’s Mathematising Instruction Theory

The study first analyzes how to realize the mathematical structure and mental object of direct proportion concept in middle school Mathematics education according to Mathematics of 2015-revised curriculum. More specifically, based on the Freudenthal’d mathematising instruction theories, a chapter of direct proportion in 10 kinds of 1st grade middle school math textbooks is reviewed The analysis results are as follows. First, definition #1 and definition #2 are well connected as the equivalent relationship in most textbooks. However, It makes an exception of property #3. Second, textbook trying to identify the essence of the concept for direct proportion in relation to consistency of rate including table, expression, connection of graph, etc. is not found. Third, the analysis of inquiry-based learning in 10 kinds of textbook shows that there are 2 kinds of textbooks connected situation with table, graph and expression; 5 kinds of textbooks connected with table; 3 kinds of textbooks unconnected with any expression. However, no textbook which can provide guideline to seek characteristics of the situation through expression is found.
The rise of virtual reality and the modern arcade

At his desk piled with gaming hardware and VR headsets, Matthew Hall holds the position of CTO for SpringboardVR. SpringboardVR is a fully remote ...
Efektivitas model pembelajaran Simayang berbantuan flash card terhadap kemampuan representasi siswa

Kajian ini bertujuan untuk mengetahui efektivitas dari model pembelajaran Simayang berbantuan flash card terhadap kemampuan representasi siswa jenjang SMP. Peneliti menggunakan metode quasi experiment dengan post-test only control group design. Teknik pengambilan sampel yang dipakai adalah purposive sampling dan diperoleh kelas VIII A sebagai kelas eksperimen sedangkan kelas VIII C sebagai kelas kontrol. Data-data penelitian dikumpulkan menggunakan instrumen tes berbentuk pilihan ganda, serta angket respon pembelajaran. Berdasarkan hasil analisis data diketahui bahwa ada perbedaan kemampuan representasi siswa antara kelas eksperimen dengan kelas kontrol. Hasil uji statistik independent sample t-test diperoleh nilai thitung sebesar 2,646>2,008 maka H0 ditolak dan H1 diterima. Berdasarkan hasil analisis dari isian angket respon pembelajaran dapat diketahui bahwa siswa memberikan respon positif terhadap pembelajaran dengan persentase sebesar 78%. Respon siswa ini termasuk pada kategori baik. Dari hasil analisis data, peneliti mengambil kesimpulan bahwa pembelajaran dengan model pembelajaran Simayang berbantuan flash card lebih efektif dibandingkan dengan model pembelajaran konvensional.This study was to determine the effectiveness of the flash card-assisted Simayang learning model on students' representation abilities, especially for junior high school students. We used a quasi-experimental method with a post-test only control group design. In this research, the sample takes using the purposive sampling technique. The author chose class VIII A as the experimental class and class VIII C as the controlâ€”multiple-choice tests and learning response questionnaires as instruments for collecting data. The statistical analysis results showed differences in the representation ability of students between the experimental class and the control class. The independent sample t-test showed that the t-count value was 2.646> 2.008, so we reject H0, and H1 was accepted. Students give a positive response to learning, with a percentage of 78% as a useful category. We conclude that flash card-assisted Simayang model learning is more effective than the conventional learning model from these data and analysis.
NOSE Augment: Fast and Effective Data Augmentation Without Searching

Data augmentation has been widely used for enhancing the diversity of training data and model generalization. Different from traditional handcrafted methods, recent research introduced automated search for optimal data augmentation policies and achieved state-of-the-art results on image classification tasks. However, these search-based implementations typically incur high computation cost and long search time because of large search spaces and complex searching algorithms. We revisited automated augmentation from alternate perspectives, such as increasing diversity and manipulating the overall usage of augmented data. In this paper, we present an augmentation method without policy searching called NOSE Augment (NO SEarch Augment). Our method completely skips policy searching; instead, it jointly applies multi-stage augmentation strategy and introduces more augmentation operations on top of a simple stochastic augmentation mechanism. With more augmentation operations, we boost the data diversity of stochastic augmentation; and with the phased complexity driven strategy, we ensure the whole training process converged smoothly to a good quality model. We conducted extensive experiments and showed that our method could match or surpass state-of-the-art results provided by search-based methods in terms of accuracies. Without the need for policy search, our method is much more efficient than the existing AutoAugment series of methods. Besides image classification, we also examine the general validity of our proposed method by applying our method to Face Recognition and Text Detection of the Optical Character Recognition (OCR) problems. The results establish our proposed method as a fast and competitive data augmentation strategy that can be used across various CV tasks.
Mapping of Paddy Field Using Geographic Information System in Langsa Timur

The existence of standard paddy fields in Eastern Langsa Subdistrict of Langsa continues to experience changes, from paddy fields to non-paddy fields caused by economic growth and increasing population. The purpose of this study was to determine the area of raw paddy fields in East Langsa District and determine the factors that influence changes in the area of raw paddy fields based on Geographic Information Systems (GIS). This research uses on-screen image interpretation techniques combined with field surveys, and uses analytical overlays to find out the conversion of raw paddy fields in 2014 sourced from the Agricultural Extension Agency of East Langsa covering an area of 1,447 hectares and a paddy field area of 2019 results from the interpretation of satellite imagery covering an area of 867.67 Ha, in the last 5 years the conversion of paddy fields was 557.33 Ha (39.90%). If calculated on average, the annual converted paddy fields are 115.46 Ha (7.98%). The factors that cause conversion of paddy fields are four, namely: (1) Demand for land, (2) Conditions of paddy fields, (3) Encouragement to be converted, (4) Distance to the central government of Langsa City, (5) Changing boundaries
The IPN-CIC team system submission for the WMT 2020 similar language task

This paper describes the participation of the NLP research team of the IPN Computer Research center in the WMT 2020 Similar Language Translation Task. We have submitted systems for the Spanish-Portuguese language pair (in both directions). The three submitted systems are based on the Transformer architecture and used fine tuning for domain Adaptation.
Educația STEAM prin și pentru misiuni de căutare

The article shows the importance of the role and benefits of the STEAM approach in studying the real sciences through and for solving problem situations in search missions.
PENDEKATAN MASTERY LEARNING: PENINGKATAN HASIL BELAJAR PEMBELAJARAN MATEMATIKA SISWA DI SEKOLAH DASAR

This study aimed to improve students' Mathematical learning outcomes through the mastery learning approach in the first grade of elementary schools in Surabaya.This research used Classroom Action Research (CAR) which was conducted in four stages, namely planning, implementing, observing, and reflecting.The research subjects were the first grade consisting of 34 students.This study used three data collection techniques, namely, tests, observations, and interviews.The results indicated that the students' learning outcomes improved and their responses were good.The students' learning outcomes increased by 61% from cycle I to cycle II.In cycle 1, the percentage of student completeness was 24% or 8 students.In cycle II, the percentage of student completeness was 85% or 29 students.Therefore, the application of the mastery learning approach could improve the students' Mathematical learning outcomes in elementary schools.
Pembuatan Sistem Multimedia Pada Smart Mirror dengan Google Assistant

The use of Raspberry Pi in activity activities, although the mini size can do quite complex computing such as Digital image processing is a facial recognition technique. Because of the size of the mini it only needs a few resources, so it does not matter when the Raspberry Pi is always lit every day. The facial recognition techniques are researched i.e. the application of eigenfaces algorithm. The algorithm is capable of delivering accurate facial recognition with minimal exposure by making black-and-white face detection. The research focuses on the complexity of setting Raspberry Pi associated with the multimedia system to be shown in the mirror aiming to allow the user enough information just dstaring at the mirror. The language used is Python, the language is well-known as the highest language that can be digested in computer and human-operated. The results gained while conducting research proved eigenfaces algorithms using Python language capable of detecting faces
Evaluate the effectiveness of Technology cloud in a hospital emergency level 3

As a Technology cloud with internet and Technology cloud infrastructure solution could be significant benefits in providing medical services to bring in electronic form. In this way, the display patient records covering all problems and diseases such as cardiovascular problems, Hsasythav other cases, quality of care and also reduces the risk of diagnostic errors and the gap between the patient and physician can be the first need to complete a patient's recovery. In this way, due to changes in current methods of treatment centers and the need for education and behavioral change may be resistance Methodology: In this study, the acceptance of this procedure by physicians, nurses, emergency department and IT experts in specialized teaching hospital martyr doctor Labbafinejad evaluated. Results: The results showed that the use of cloud technology education in emergencies, when dealing with the disease. Conclusion: The deployment of cloud technology in hospital emergency rooms due to the investment costs for effective implementation of cloud systems on the quality of the treatment process of a medical view of efficiency.
Розробка програмного комплексу навчальних матеріалів для вивчення основ програмування

The main approaches to the creation of online services for learning the basicsof programming are considered. Peculiarities of software development of educationalmaterials for studying the basics of programming and modern IT technologies areanalyzed.
Learning Reading The Beginning Using Educative Game Media Learning Reading Current Android Versions

Reading individual abilities must be possessed. A child can read and understand the contents of the reading begins with the beginning of learning to read. Given the importance of learning to begin with reading, every teacher must be able to teach beginning reading in a systematic, effective, easy and fun way. As technology develops, the demands of the times are also higher. Teachers should be able to present learning by using learning media in accordance with the times. Through the educational game media learning to read fluently in the android version, beginning reading can be a systematic, effective, easy and fun learning. The results of observations at an elementary school in Bekasi, from 28 students of class II, there were 5 students who were not able to read the beginning well. After being given treatment using the educational game media learning to read fluently, the observations showed that the students looked enthusiastic and cheerful when carrying out the learning. Based on the results of the interviews, the five students stated that learning to read felt easy and fun. The reading test results show the post-test results improved significantly compared to the pre-test results