Reviewerly/exHarmony huggingface dataset:
Geometry and digital cultural heritage as unique linking for development students’ knowledge, skills and attitudes

This paper presents the fruitful connection between geometry and cultural heritage as innovative teaching and learning approach and examines the way that students learn geometrical concepts and in which way they construct and transform geometrical concepts and students’ engagement to get familiar with cultural heritage. This pilot research based on implementation of learning scenario by Europeana DSI-4 project and results provided by qualitative and quantitative evaluation could motivate educational community for implementation interdisciplinary learning scenarios with geometry for developments students 21st century skills through cultural heritage.
Augmented reality technology in smart manufacturing

AR technology helps a human to see a computer-generated virtual reality combined with the physical world, or even feel it. The "real world" is the place an observer perceives with his senses, that is, speak, hear, taste, smell or feel. The "virtual world" is a real-world phenomenon generated by a computer, and created and stored on a storage medium or virtually experienced using computers, software, and telecommunication protocols to seamlessly allow the communication between hardwares to happen. In the AR application, a tracking program tracks the virtual reality with the physical world to combine simulated and actual information in a way that the user can understand.
Blockchain technology in smart manufacturing

Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. Blockchain technology stores value-based records called the block, of the activities carried out by human and stored in distributed databases, with blocks linked into the "chain" in a system made up of shared hubs. Incidentally, this stockpiling of blocks is alluded to as a computerized record.Each transaction in this record is approved by the advanced approval of the proprietor, which verifies the transaction and protects it from alterations. Consequently, the data making up the computerized record is inherently secure. Blockchain technology is shown in Figure 18.1.Simply put, the computerized record resembles a Google spreadsheet shared among various PCs in a system, in which the value-based records are dependent on real buys. The interesting point is that anyone can see the information; however, they cannot spoil it [1].
Students' Perceptions About Family Harmony (Study of Adolescents from Low-Economy Families at SMKN 3 Padang)

This research is motivated by the presence of students who feel they are treated differently from their parents and there are students who feel they have a bad way of communicating in the family. The purpose of this study was to describe students' perceptions of family harmony at low economic level at SMKN 3 Padang seen from: 1) Love between families 2) Mutual understanding among family members 3) Communication that exists within the family. 4) Cooperation between family members. This research was conducted using descriptive quantitative methods. The study population was 52 students who were selected by total sampling technique with 52 participants. The instrument used is a questionnaire. Meanwhile, for data analysis using percentage classification. Based on the results of research on students' perceptions of family harmony at low economic levels at SMKN 3 Padang, it can be seen from: 1) Affection between families is in the harmonious category. 2) Mutual understanding among family members is in the harmonious category. 3) Communication that exists within the family is in the harmonious category. 4) Cooperation between family members is in the harmonious category. Based on the results of the study, it is recommended for BK teachers to evaluate the programs that have been implemented and design service materials related to the harmony of the students' families
Peningkatan Keterampilan Guru Dalam Penggunaan Aplikasi Microsoft Office di Yayasan Taman Pendidikan Adz-Zikra

Community service activities are used to improve the skills of YTP-DZIKRA teachers in utilizing Microsoft Office applications as an effort to improve skills and add insight for teachers in an effort to improve the quality of education. . The problems faced by teachers at the Taman Pendidikan Adz-Zikras Foundation today are related to skills in using Microsoft Office offline and the lack of knowledge of using Microsoft Office Online in supporting academic and non-academic activities. Stages of Improving Teacher Skills in Using Microsoft Office at the Taman Pendidikan Adz-Zikra Foundation. divided into 4 (four) stages, namely the preparation stage, the implementation stage, the program evaluation stage and the reporting stage. This service activity gave quite significant results which were marked by the teacher's habit of using and operating Microsoft office, especially Microsoft office word, Microsoft office excel, and Microsoft office powerpoint.
The Effect of Question Answer and Relationships (QAR) Strategy Toward the Students’ Achievement in Reading Comprehension of Narrative Text

The objective of the study was to find out the effect of Question Answer and Relationship (QAR) strategy toward the students’ achievement in reading comprehension of narrative text. The study applied the pre-experimental research and used cluster random sampling. The population of this study was 64 students of 2020/2021year in FKIP UMSU. They were from separated classes, each class consisted of 32 students so the sample was taken of 32 students. Since this study used pre-experimental, the sample only used one class where 32 students taught by using Question Answer and Relationship (QAR) strategy as the sample of the data. The data was required by conducting essay test that consisted of 10 items. The result showed that t-observe was 1,84 higher than t-table 1,69; while the level of significance was 0,05. Based on the result of the analysis, the alternative hypothesis was accepted since it proved that Question Answer and Relationship (QAR) strategy significantly effects toward the students’ achievement in reading comprehension of narrative text. The percentage of influence on the students’ achievement in reading comprehension of narrative text by Question Answer and Relationship (QAR) strategy was about 98% and 2 % by the other factors
Profile of Online Information Service Program Implementation at SMPN in Padang Pariaman District

This research is motivated by the obstacles of BK teachers in providing questionnaires to analyze the needs of students through WhatsAPP Group, students who do not respond and are indifferent in the implementation of the information services provided and the obstacles of BK teachers in determining information service materials to be provided through WhatsAPP Group . The purpose of this study is to describe 1). Planning, 2). Implementation, 3). Evaluation, 4). Result analysis 5). Follow-up in the implementation of online guidance and counseling teacher information services. This research was conducted using a quantitative descriptive method. The research population was 49 BK teachers who were selected by purposive sampling technique as many as 30 BK teachers samples. The instrument used is a questionnaire. Meanwhile, for data analysis using descriptive statistics with percentage techniques. The results of research on the implementation of online information service programs at SMPNs throughout Padang Pariaman Regency are seen from 1). Planning is in the effective category, 2). Implementation is in the effective category, 3). Evaluation is in the effective category, 4). The analysis of the results is in the effective category, 5). Follow-up is in the effective category. Based on the results of this study, it is recommended for BK teachers to further improve the implementation of online information services in order to get even better results.
Profil Motivasi Belajar Peserta Didik Kelas VIII di SMP Sima Padang

This research is motivated by the presence of students whose learning motivation tends to be low, there are students who tend not to focus when studying and play mobile phones more often, there are students who pay less attention when the teacher teaches in class. The purpose of this study was to describe the learning motivation profile of class VIII students at SMP SIMA Padang seen from: 1) Students' learning motivation was seen from intrinsic motivation. 2) Students' learning motivation was seen from extrinsic motivation. This research was conducted using quantitative descriptive methods. The study population was 141 students who were selected by proportional random sampling technique with 59 participants. The instrument used is a questionnaire. Meanwhile, for data analysis using percentage classification. Based on the results of research on the learning motivation profile of class VIII students at SMP SIMA Padang seen from: 1) Students' learning motivation seen from intrinsic motivation is in the fairly good category 2) Students' learning motivation seen from extrinsic motivation is in the fairly good category. This research is recommended to students in order to increase their learning motivation
Deploys

Code deploys are among the most common and process-oriented tasks that an engineer will take on. Long gone are the days where most software is distributed on physical CDs and needs to be in near-perfect condition because of the incredible cost to shipping (literally) corrections. Nowadays when you work in tech, you’re likely working in a SaaS environment where the product is some form of web-based application and updates can go out at any moment—even if you’re working on software for hardware-based products like cars, watches, thermostats, or fridges, these devices are all internet connected, and the burden of updating them is so minor compared to the undertaking that it was before.
A Classification Model Based on Machine Learning for Detecting Racist Comments on Social Media Platforms

Racial conflicts have become even more prevalent than before. As a result, social media companies are continuously being slammed for their inadequate response to the problem caused by racial discrimination. For example, the year 2020 witnessed a worldwide movement calling for racial equality and justice. The movement began after an African American male was suffocated and murdered by an NYPD police officer. Since then, there has been significant research efforts focusing on social media and the role it has played in amplifying racism. Similarly, the government of the United Kingdom have threatened to make social media companies legally accountable for the racist content on their platform after the witnessed increase of racist abuse on footballers in 2021. English football clubs have also threatened a boycott of social media in a bid to eradicate online hate. To solve this problem, we will track down past events and social media trends which are likely to have triggered racist reactions and retrieve annotated comments from public social media sites like Facebook, Instagram, Twitter, YouTube and TikTok. We will create an unbiased dataset of racist comments across social media platforms. We will be building a classification model using machine learning to detect racist comments on social media platforms. We propose a machine learning model for the automatic detection of racist comment across social media platforms. The results we obtained from our research shows that the support vector machine-trained model performs the best with an accuracy of 88.19%. The models proposed in this research outperformed most of the pre-existing models for the same task. Keywords: Race, Racism, Cyberbully, Hate Speech, Support Vector Machine, Confusion Matrix Journal Reference Format: Allenotor, D. &amp; Oyemade, D. A. (2021): A Classification Model Based on Machine Learning for Detecting Racist Comments on Social Media Platforms Journal of Behavioural Informatics, Digital Humanities and Development Research. Vol. 7.No. 1, Pp 121-136. ICT University USA Endowed Research Series Publication in collaboration with SMART-Africa. Available online at https://www.isteams.net.behavioraljournal. Article DOI No - dx.doi.org/10.22624/AIMS/BHI/V7N1P9
A RESIDÊNCIA EM SOFTWARE NO BRASIL

triamine pentaacetic acid, are used.Thus, the primary focus of this work was to develop an experimental procedure to study BaSO4 dissolution.Initially, through static tests to understand the relationship between dissolver concentration, temperature, and dissolution time, and then through dynamic tests in sandstone reservoirs.Based on the results obtained, in the static tests, the best condition for barite to dissolve was at high temperatures (80 ºC) and a contact time of 48 hours, since from 50 °C there is an increase in dissolution rate, associated with a long contact time between dissolver and barite.In the dynamic tests, barite could be removed after scale formation, but the high DTPA concentration should be avoided.
Estimation of states with data under Colored Measurement Noise (CMN)

Object tracking is an area of study of great interest to various researchers, where the main objective is to improve estimation of the trajectory of a moving object. This is due to the fact that in the object tracking process there are usually variations between the true position of the moving object and the estimated position, that is, the object is not exactly followed throughout its trajectory. These variations can be thought of as Colored Measurement Noise (CMN) caused by the object and the movement of the camera frame. In this paper, we treat such differences as Gauss-Markov colored measurement noise.We use Finite Impulse Response and Kalman Filters with a recursive strategy on the tracking: predict and update. To demonstrate the filter with the best performance, tests were carried out with simulated trajectories and with benchmarks from a database available online. The UFIR modified for CMN algorithm showed favorable results with high precision and accuracy in the object tracking process with benchamark data and under no ideal conditions.While KF CMN showed better results in tests with simulated data under ideal conditions.
ANALISIS PEMANFAATAN MEDIA KARTU KATA BERGAMBAR TERHADAP KEMAMPUAN MEMBACA PERMULAAN ANAK TK KELOMPOK B

This research was aimed to describe the implementation of picture word cards media by teachers at RA Al-Aufiya NW to children of B group. The method of this research was used descriptive research in the form of survey method. This research used data collected technique through non test at RA Al-Aufiya NW using interview, questionnaire, and observation method. The result of this research was analyzed with the steps of Editing, Coding, and Scoring, that describe a picture word cards media in learning activities. The result of this research showed that a picture word cards media is one of the media used by teachers to improve the aspect of children’s language especially the basic skill of reading at Children of B group. However, the used of this media is very rare, because the teachers use media writing and journal more often. A picture word cards can improve the students’ enthusiasm for learning.
Students Emotions Evaluation on Virtual Learning Environments

The student interacts with the platform Virtual Learning Environment to follow the course lessons.This interaction has a great impact on the student's learning outcome.The need to design and provide educational platforms and resources that are not only accessible but also attractive to students has been emphasized.Therefore, it is important that users/students have satisfaction with its environment and interface.This article leave a list of emotions to evaluate the functionalities of educational platforms, validated by students and experts.This list of emotions in Spanish will be very useful for the field of Affectivity and Educational Technology, since it has the support of recognized professionals as well as students of higher education, of different ages and countries of origin, which enriches the validity and heterogeneity of the study.
Welcome to the September Issue [From the Editor’s Desk]

Passive networks are at the foundation of all that we as microwave engineers perform. From filters to resonators to matching networks, whether composed of lumped elements, distributed elements, or some combination, passive networks are found in literally every microwave circuit and system designed throughout our “MHz to THz Community.” This month’s issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Microwave Magazine</i> has three technical features, all focused on passive microwave networks of various types. Even though all the technical features describe different passive networks, this is not a “focus issue” in the strict sense that the issue was sponsored by one of the IEEE Microwave Theory and Technology Society (MTT-S) technical committees. Rather, these three features were received as unsolicited manuscripts from separate researchers that naturally came together to form the passive network-themed issue. As I have mentioned in previous “From the Editor’s Desk” columns, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Microwave Magazine</i> does publish manuscripts other than those submitted by MTT-S technical committees, and I encourage you to submit a manuscript on a technology that you are working on. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Microwave Magazine</i> publishes overview and tutorial articles that give a broad look at a specific technology focus. A manuscript can be a historical look at a specific technology or a broad overview of the current state of the art. If you are thinking about writing such an article, please contact me at microwave.editor@ieee.org.
Time Series Change Point Detection with Contrastive Learning

The change Point Detection (CPD) method identifies the time series method related to the trend and attributes the change of time series data to describe the fundamental behavior of the system. For example, detecting changes and anomalies related to web service usage, application usage or human behavior, and system state can provide valuable insights for downstream modeling tasks. We propose comparative learning based on a self-monitoring time series change point detection method. Compared with traditional methods, we can apply them to a broader range. We prove that our method is superior to the state-of-the-art CPD method through experiments on three different and widely used time-series data sets.
Implementasi Team-Based Learning Dalam Pengembangan Pembelajaran Online Berbasis Artificial Intelligence

Online learning is growing along with the development of today's technology. Online learning development will improve the quality of the learning process. The research goal is to improve an online learning portal based on Artificial Intelligence (AI) within the Team-Based Learning (TBL) framework. The benefits of AI in personalizing learning based on how students learn, and even the TBL usage as a learning method, are explored to improve student learning results. The method used in this research is a method for conducting research development. MOODLE as a Learning Management System is being used to expand the online learning portal. In addition, AI technology is developing using algorithms based on collaborative filtering to predict learning styles and evolutionary algorithms to analyze student group growth. There were 262 students from ten elementary schools (SD) in three provinces who participated in this study. The application of the R data analysis program used paired t-test to compare the pre-test and post-test. The findings of this study indicate that AI-based online learning within the TBL framework can significantly improve student learning outcomes.
Implementasi Mendongeng pada Mata Pelajaran Bahasa Indonesia untuk Penanaman Karakter Anak Sekolah Dasar

Children’s’ fiction story contains moral teachings for character education. Fables are selected for implementation of this research for the reason that they include Indonesian cultural background. The storytelling was performed based on some elements: (a) opening technique, (b) movement exercises, (c) properties, (d) vocal sounds, (e) gestures, (f) sound intonation, (g) expression, and (h) closing techniques. This research aims to examine in depth the implementation of storytelling in Indonesian Language subject for character education. This research uses descriptive qualitative method, gaining sources from elementary school teachers in Wates Subdistrict. The data was collected through in-depth interviewing and observation, validated with triangulation method, that underwent the techniques carried out by data collection, reduction, presentation and verification or conclusion. Based on the interview to the teachers, it is concluded that storytelling can be used to educate characters to elementary school students.
Building Deeper with U-Attention Net for Underwater Image Enhancement

The images captured in the underwater scene suffer from color casts due to the scattering and absorption of light. These problems severe interfere many vision tasks in the underwater scene. In this paper, we propose a Deeper U-Attention Net for underwater image enhancement. Different from most existing underwater image enhancement methods, we adequately exploit underlying complementary information of different scales, which can enrich the feature representation from multiply perspectives. Specifically, we design a novel module with self-attention module to enhance the features by the features itself. Then, we design U-Attention block to extract the features at a certain level. At last, we build deeper two level U-structure net with the proposed U-attention block at multiply scale. This architecture enables us to build a very deep network, which can extract the multi-scale features for underwater image enhancement. Experimental results show our method has a better performance on public datasets than most state-of-the-art methods.
Invisible and Readable Checkerboard as Watermark With Temporally Brightness Modulation

This aticle describes invisibility and readability in terms of the size of the basic unit of information that was attached to a displayed image by using our proposed method. The proposed method enables us to invisibly attach information to a displayed image on a flat panel display (FPD) and to extract the information from a captured video image of the displayed image. The information was attached to a single-color component of the displayed image by using temporal and spatial brightness modulation. The information was arranged within a given rectangular area of the displayed image as a black-and-white checkerboard pattern. The checkerboard pattern was used because it is a typical example of a t2-D pattern with a high density. The checkerboard pattern consists of squares having the same side length <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> . <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> was changed to examine the invisibility and readability in terms of the size of the basic unit of information. First, we assessed invisibility to the human eye of the information attached to the displayed image on the FPD. The experimental results showed that the degree of invisibility was 90% or over for all <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> when a frame rate for the displayed image was 60 fps. That is, the invisibility is independent of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> . We also examined readability of the attached information for a video camera. The experimental results showed a lower limit value of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> that satisfied the readability.