Reviewerly/exHarmony huggingface dataset:
Neural Network Technologies and Topological Analysis of Social Media Data

Currently, due to the successful use of neural network technologies for analyzing data of various formats, the range of problems that can be solved using mathematical modeling methods has significantly expanded. The paper deals with the topical task of analyzing speech perception by social media data and assessing the level of conflictogenity, social approval / stress of the residents regarding urban planning projects. The purpose of the paper is to develop and show on a practical example the effectiveness of the integration of neural network and mathematical models for solving such tasks. Mathematical models are built using the methods of mathematical statistics and topological data analysis.
An Ensemble Learning Method for RF Identification

RF transmitter identification is a big challenge due to the increasing number of wireless devices in recent years. Traditional approaches for identification are implemented by choosing specific rapid fingerprintings manually with large number of signals, which cannot identify the unknown transmitter in few shots efficiently. In order to solve this problem, an ensemble learning method with convolutional neural networks (CNNEL) is proposed by considering both the limitation of unknown transmission data and the classical fingerprintings of transmitters' signals. The proposed method includes three kinds of classifiers trained by three different RF sample datasets, which are the RF I/Q signal, the short time Fourier transform of RF I/Q signals and the wavelet transform of RF I/Q signals. The identification is evaluated by averaging and voting the training result of all types signals. Three compared deep learning methods with eight known and two unknown transmitters for RF transmitters classification and identification are investigated. Numerical experiments suggest that the higher accuracy across a range of conditions is achieved by using the ensemble learning based method.
Analisis Pola Pembelian Konsumen pada PT Indoritel Makmur Internasional Tbk Menggunakan Metode Algoritma Apriori

PT Indoritel Makmur Internasional Tbk or better known as Indomaret is one of the companies engaged in retail in which this company every day must meet the needs of consumers. Consumers tend to pay attention to prices on label and product layout. At the price tag, the promo price and promo period are shown. However, when the promo period is still ongoing, the desired product kosumen is empty. In addition, the laying of the product on the shelf is not in accordance with the habits of consumers when buying the product simultaneously in one time. This causes disappointment to consumers who can not meet their needs. Therefore the company should look at the purchase patterns made by consumers. To know the product purchased simultaneously, use association rule (data association rule) that is Data Mining technique to find association rule of a combination of items. The association search process uses the apriori algorithm method which can generate the knowledge contained in the customer's transaction data, regarding the purchase pattern by the consumer. Based on the calculation of apriori algorithm that meets the minimum value of confidence and tested with Tanagra software, the highest Indomaret rule store that appears on Instant Oil and Noodle products with Support value 43.3% and confidence 92.8%, this is the same as manual calculation a priori algorithm. Then can be arranged product layout adjacent to facilitate the existence of the product and make it easier in determining inventory of product promo desired by consumer and can be used as decision Support manager in managing company activity.
Performance Analysis of Different Neuron Activation Function Implementations on FPGA using Artificial Neural Network

Artificial Neural Network (ANNs) is a part of a computing system that design to process data information in the same way as the human brain working. It has been trained to process a large amount of data in the network and successfully applied in many applications such as pattern recognition. The high computational technique and processing power required to develop Artificial Neural Network architecture allow it to be embedded into Field Programmable Array (FPGA). This allows for even more parallelism in the network implementation. Furthermore, the activation function selection is also significant in Artificial Neural Network as it influences the network's performance. This work aims to implement different neuron activation functions on an Artificial Neural Network architecture. The design has been chosen to implement on FPGA, specifically the Virtex-7 board based on Xilinx FPGA. Xilinx Vivado software was used for synthesizing and implementing the architecture to analyse the performance of each neuron activation function. At the end, the comparison of different activation function reveals that there is not a significant difference between the activation function tested. Every activation function has almost given the same impact on a network once it has been trained.
Investigating The Problems Faced by Nursing Students in Second Language Communicative Skill for Indonesian Vocational Higher Education Mobile Learning

The present study focuses on the problems faced by the sixth-semester students of Nursing Study Program at Health Polytechnic of Makassar in Speaking English. It uses a descriptive method to describe the students’ spoken problems which lie in language elements, psychological factors, and learning situation. The subject of the study is taken using cluster random sampling technique. This study uses two kinds of instrument, namely questionnaire and interview. Both are used to identify and to find out the problems faced by the students in speaking English. The findings of the study show the students’ obstacles in speaking English, namely: the lack of grammar understanding (68%) the lack of confidence (62%), the infrequent practice (58%), the lack of vocabulary (50%), the low motivation (46%), the anxiety (44%), the influence of classroom interaction (44%), the low listening skill (40%), the lack of knowledge and interest (32%), the influence of mother tongue or local language (28%), the impact of formal events (28%), the lack of pronunciation (24%) and the inappropriate topic talk(16%). Thus, it is implied that the problems faced by the students in speaking English need serious attention for the teachers of English to conduct an effective teaching method to help encourage the students to speak English.
PEDAGOGICAL CONDITIONS FOR THE FORMATION OF STUDENTS’ MOTIVATION AT PEDAGOGICAL UNIVERSITY FROM THE PERSPECTIVE OF THE INTERDISCIPLINARY APPROACH

The article discusses pedagogical conditions for the formation of students’ motivation at pedagogical university. New approaches to the organization of the educational process that form the motivation of students from the position of an interdisciplinary approach are studied. The experience of using pedagogical conditions to increase students’ motivation through understanding the body’s production of dopamine is reflected.
Εφαρμογές Επαυξημένης Πραγματικότητας στην Εκπαίδευση. Τα χαρακτηριστικά τους και η παιδαγωγική τους αξιοποίηση.

The technology of Augmented Reality (AR) constitutes one of the most recent developments and attracts more and more attention. A lot of research has been conducted on a global scale, in order to study the effectiveness of its usage during teaching and learning. The aim of the present study is to document the characteristics of the Augmented Reality applications, in order to specify the degree to which they can be utilized for educational purposes. For the purpose of the present research a Systematic Literature Review of 85 papers was conducted. The procedure that was followed in order to create this research, was the PRISMA checklist. 19 questions were formulated and examined, so as to collect as much data as possible regarding the characteristics of the applications. The summary of the results are: From 2016 to 2020 there was an 23.6% increase in the papers that study AR applications. In most cases the applications that were created were targeted at University students. Very few papers included in their sample, students with special educational needs. Most often, the subjects Physics and Foreign Languages were chosen in order to create the application. Most applications were designed utilizing the technology of Marker Based Augmented Reality, were designed for the Android operating system, and were developed using the tools Unity and Vuforia, by Computer Science professionals or from the writers of the papers themselves (faculty members). The majority of the papers evaluated the effectiveness of the applications in a subjective manner, using neither valid nor reliable tools. From the 85 papers only 11 mentioned complete data regarding how many and who exactly were the evaluators (their professional capacity). In most papers the sample consisted of 1-50 people. Regarding the reference to the duration, there was a heterogeneity, because some researches were mentioning the duration of the interaction of the users with the application, while others the duration of the conduction of the research. The most common obstacles that were mentioned regarding the interaction with the applications, were the technical problems and the equipment limitations. Conclusions: What was observed in most papers, was a lack of participation of educators in designing and developing the applications, and an absence of evaluation with a valid and reliable tool by a suitable team (experts in technology in coordination with educators). Thus, it is very doubtful that the AR applications can be utilized effectively for educational purposes.
A New Method for Calculating Energy of Matter

An approximate calculation of the spatial characteristics on finite range is required, so one quantitative continuum represents the accumulation of infinite great quantities is artificially divided it into smaller and camparable parts in which calculus operation can be applied .This operation is defined as Theorem 1 in which infinity is not involved, there is a camparable finity is constantly (forever) approaching and not reaching infinity, and only staying within a finite range. Theorem 1 can exist in this paper as a new mathematical basis for physics. Because the essence of all physical quantities is size comparison, and the size comparison relation of matter can only be space/time, so relation formula space/time is the only expression of the concept of matter, all physical quantities are applicable to this expression, each different physical quantity is a multi-dimensional representation of this expression. A new mass energy formula is aslo derived from this paper.
APLIKASI TANGGAP DARURAT MASYARAKAT DI KECAMATAN TELANAIPURA KOTA JAMBI

In improving services regarding emergency response to the community, it is necessary to build a Community Emergency response application that can assist the Telanaipura sub-district, Jambi city in obtaining information on emergency reports or complaints from the community, in order to help speed up and simplify the emergency response process. Telanaipura sub-district office, Jambi city, which is located at Jl. Piere tended to RT. 12 Ex. Telanaipura Kec. Telanaipura Jambi City. The purpose of this research is to create a Mobile-Based Community Emergency Response Application in Telanaipura District, Jambi City. Making this application is done by means of data collection, system planning, system analysis, system and database design. Making application programs developed with PHP. The database used is MySQL. The input needs of the application program are user data, community data, complaint data, category data, contact data and news data. Process requirements needed are: login process, master data process, complaint process and report process. Expenditure data generated is in the form of information that will be displayed, among others: complaint data information, community data information, complaint status data information, contact data information and news data information. With the existence of a new system that has been designed and created by researchers, it can help facilitate the parties involved in improving emergency response services to the community
@TroveAirRaidBot, a 24/7/365 research assistant

Like many other historians I use Trove for both targeted searches and exploratory ones, which in itself has revolutionised my historical research practice. However, I have recently been exploring the potential of Tim Sherratt's concept of 'Trove bots' -- Twitter bots which tweet links to random Trove Newspaper articles -- as, in effect, automated research assistants, as well as public engagement tools. Here, I will discuss how I have been using one such bot, @TroveAirRaidBot, in my current writing project, and its limitations and hopefully its potential.
Cutting-Edge Science and Technology and Personalized Nutritional Advice

Society 5.0 is a human-centered society that can develop economically while solving the problems of modern society through a system that closely integrates cyber space (virtual space) and physical space (real space). Society 5.0 aims to create a society in which people and things are connected by the Internet of Things (IoT), and in which the necessary information is provided via robots and other means using artificial intelligence (AI) based on a variety of knowledge and information that exceeds human judgment. Nutrition improvement can be practiced more reliably using cutting-edge technology. AI has the ability to analyze a large amount of scientific data, identify problems, and tell us how to solve them. In order to survive in Society 5, nutritionists and dietitians can use AI and robots to improve scientific accuracy, and at the same time, create new social value that can cause behavior change through relationships of trust between humans that machines cannot. It is necessary to produce. To do so, it is necessary to study the theory of psychology and master the skills of counseling. There are several models of behavior change theory, especially Behavioral substitution method, Operant enhancement method, cognitive behavioral therapy, self-monitoring method, behavior changes stage model and nudge theory are effective. Registered dietitians should acquire counseling technology which are listening closely, parroting, sometimes organize the story, respect for silence the improvement target is one or two feasible steps, always find the results become an attractive person, nutrition counseling that is attentive to patients’ thoughts.
[Observation and experiment: a causal perspective].

Observation and experiment and their related connotations and concepts remain vague, which affects the correct understanding of research design and the judgment of the validity of causal inference. This article borrows the concept of phase transition in physics, combines causal thinking and causal diagrams, firstly establishes the relationships among the attribute, state, event, and phenomenon, and then identifies two ways with the opposite causal structures to acquire phenomena-human observations and human manipulated experiments. In causal inference, the ways mentioned above, intervention and assignment of exposure are affected by their own causal mechanisms. Finally, intervention is a causal concept, a core link among known phenomena, unknown phenomena available for measurement, and natural causality. Based on this, the two strategies in classifying research design are analyzed, and intervention method and non-intervention method are proposed, as is comprehensive and concise. Observations and experiments provide the basis for all scientific knowledge and should be viewed as concepts with a unified connotation. The accurate classification of research designs based on the law of causality and measurement process may be one of the best options worthy of in-depth study.观察和实验及其设计、相关的概念和内涵仍然模糊，影响着研究设计的正确认识及因果推断有效性的判断。本文借用物理学的相变概念，结合因果思维与因果图，首先建立了事物的属性及其状态、事件与现象之间的关系；接着识别了两种现象获取方式——人为观察和人为实验之间相反的因果结构，及其与暴露的干预、分配在因果推断研究中受各自的因果机制影响；最后，识别了干预系因果概念，是自然因果律基础上联系已知的现象和/或需经测量而获得的现象之间的核心纽带；基于此分析了研究设计二分类的策略，以干预法和非干预法的分类更为清晰。观察和实验提供了所有科学知识的基础，应是内涵统一的概念。基于因果律及其测量过程可能是实现研究设计精准分类的最佳选项之一，值得深入研究。.
COVID-19, DIGITAL EXPLOSION AND EQUITY IN HIGHER EDUCATION: DIVERSITY, EQUITY AND INCLUSION IN THE TEACHING/LEARNING PROCESS

COVID-19, DIGITAL EXPLOSION AND EQUITY IN HIGHER EDUCATION: DIVERSITY, EQUITY AND INCLUSION IN THE TEACHING/LEARNING PROCESS
Sound as a Mediator between the Body and the Virtual Technological Educational Approaches

Sound and its physical components are one of the central elements in the relationship between subject and environment. The physical characteristics of sound are aspects of the individual's nature and stand as a natural vector of information that identifies man's communicative and relational nature. The sound's evolutionary power allowed man to determine himself as a communicative being first according to a non-coded sound communication code and then elaborate in evolution, a process of translation of sound into verbal code. The transition from nature to culture invested processes of transformation of sound that form a spatial clue, an element of emphasis of a state of mind; the primary approach of communication of moods has become a primary element of intra-species communication. Musical expression and body expression act in an implicit communication channel, though not always bound to emotional aspects, determining a series of two-way relationships able to form a substantial alliance between action and sound. These concepts lead us to identify in the educational connection, in the phylogenetic organization, in the cultural sophistication of the increasingly detailed responses to the world's growing complexity, the background within which sound and action find reasons for convergence, union, and evolution.
Improving Student Learning Outcomes Using the Class IV Joyful Learning Method in Elementary School

The purpose of this research was to improve student learning outcomes by using the Joyful Learning Method in social studies subjects for class IV at SD Negeri 16 Paguyaman, Boalemo Regency. The results indicated the Joyful Learning method can improve student learning outcomes in social studies subjects. This is indicated by the results of student learning activities in the first cycle reaching an average percentage of 71.25% and in the second cycle an average of 85%, with an increase of 13.75%. Likewise, the learning outcomes of students produced with a mastery percentage of 61.91%, with a KKM 75, while the average value of students in the second cycle experienced an increase, with a completeness percentage of 80.95%. The conclusion is the implementation of the Joyful Learning method can improve student learning outcomes in social studies subjects
Social media network: An organization from person to person communication for media impact

The Humans are basically friendly creatures. Correspondence and connection is crucial for the Human culture. Individuals love to mingle and cooperate with each other. Web innovation has changed the manner in which individuals impart. Gone are the days when one needed to compose a letter or book a call to address a companion or relative living the nation over. Today innovation empowers one to be in contact with loved ones across the globe momentarily. Check out any singular's way of life today. Frequently you will find individuals spending more than a few hours each evening on the web talking with companions and speaking with similar individuals. Individuals of any age will in general find informal communication destinations that arrangement with the subject of their advantage and follow the discussions occurring there. Web being a worldwide peculiarity, you will find individuals from everywhere the world meeting up to talk and share data about their specific subject of interest. It had never been simpler that this to make companions and associating over the web.
Text Data Mining Algorithm Combining CNN and DBM Models

The special text has a lot of features, such as professional words, abbreviations, large datasets, different themes, and uneven distribution of labels. While the existing text data mining classification methods use simple machine learning models, it has a bad performance on text classification. To solve this drawback, a text data mining algorithm based on convolutional neural network (CNN) model and deep Boltzmann machines (DBM) model is proposed in this paper. This method combines the CNN and DBM models with good feature extraction to realize the double feature extraction. It can realize the tag tree by constructing the tag tree and design the effective hierarchical network to achieve classification. At the same time, the model can suppress the input noise on the classification. Experimental results show that the improved algorithm achieves good classification results in special text data mining.
AN ANALYSIS ON THE STUDENTS’ COHESION AND COHERENCE IN THEIR DESCRIPTIVE PARAGRAPH: A Descriptive Research at The Third Semester of English Department in Muhammadiyah University of Makassar

This research aimed to found what types of cohesion that commonly used by the English department students of University of Muhammadiyah Makassar in their descriptive text and to find out how is the students ability in making their text coherence.This research used descriptive research. Purposive sampling technique was applied to select the sample. The population of this sample was the third semester students of English department in Muhammdiyah University of Makassar. The number of sample was one class that is consists of 13 students. The data obtained by giving a writing test to the student.The research findings showed that the students used 82% reference in their descriptive text and followed by conjunction in 15.1% , while ellipsis and substitution only 1.21% used by the student. Thus, 41% students already in a good level of writing ability even there are still some mistakes and followed by 33% of student already got out standing level that means they already can make their text correctly coherence and there are 23% students still need to improved their skill so they can make their text coherence.
Sustainable Development Goals Calendar: The International Project

Russian National Public Library for Science and Technology and V. I. Vernadsky Nongovernmental Foundation collaborate in promoting the UN Sustainable Development Goals to libraries and other institutions of culture and education. In 2020, the new activity was successfully tested; it was to attract attention to SDGs with the contest of calendars. In 2021, the contest has expanded to the international project and comprised, beside competing calendars on SDG 11.4 «Preservation of the World Cultural and Natural Heritage», a series of supporting educational events. The background, development and goals of the project are discussed. The project topic and its key provisions are characterized.
Identifying English Learning Strategies Used By Native Papuan Students In Senior High Level Jayapura City

This study aims to study the English learning strategies used by native Papuan students in Senior High level Jayapura.This research method is descriptive qualitative. The population in this study were native Papuan students and English subject teachers. Triangulation data collection techniques, namely interviews, observation and documentation. The data collection in this study used the direct observation method which was entered into the research notes and used interview guidelines. The data analysis technique used in this study is a suspended analysis technique in which the researcher looks at, transcribes and classifies code transfers found in communication which are then adjusted according to type.The results of this study indicate that learning strategies used by native Papuan students when learning English are metacognitive strategies, cognitive strategies, and social-affective strategies. Keywords: Learning Strategies, Native Papua, English Learning Strategy