Reviewerly/exHarmony huggingface dataset:
TEACHING CAPABILITIES OF ROBOTIC VR- CONSTRUCTORS IN THE TRAINING PROGRAMS OF AGRICULTURAL ENGINEERS FOR THE DOMESTIC FARM INDUSTRY

The paper discusses the didactic advantages and features of the use of such immersive technologies as “virtualconstructor” in the practical training of BSc students (training area 35.03.04 “Agricultural Engineering”) for the domestic farmindustry. VR-constructors are software products that fully emulate a virtual environment with a 360° view, the distinctive featureof which is to maximize the possibilities for interacting with virtual objects in terms of their study, movement and transformationof the object system. As applied to the training of agricultural engineers such systems of virtual objects can be represented by properlydesigned training mechanisms of engines, various irrigation systems in hydroponic installations or a specifi c soil profi le with itsindividual horizons. The authors conducted analysis of scientifi c literature, refl ecting the practice of the application of virtualreality technology to be used in the training of university students. The study has revealed the lack of precedents comprehensiveintroduction of VR technology as an eff ective learning tool in higher agricultural education in Russia and abroad. After conductingthe experiment based on a number of expert assessment methods, two VR software products of the “VR-constructor” type wereidentifi ed, which are recommended for implementation in course syllabi for BSc training in agricultural engineering in: “3D-cardfi le of soil sections” and “VR-atlas of agricultural machinery”. The study of the teaching capabilities of these curricula has statedthe need to change the traditional roles of the teacher and the student and the necessity for further scientifi cally-based introductionof university course syllabi of various levels to train more competitive and highly qualifi ed personnel for the innovative agriculture of Russia.
Using Instagram in Teaching Writing for University Freshmen

&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This study aimed at elaborating the use of Instagram in teaching writing for university freshmen. This current study contained a reflection from a lecturer who had used Instagram to improve students’ writing skill through process-genre based approach. The data were taken from a reflective daily journal. Further, the journal specifically informed what worked well and what did not from the use of Instagram for writing skill improvement. The result showed that Instagram could significantly improve students’ writing skill, especially to help them find that writing was part of social activities and create a good composition that had been perfectly finalized.&lt;/p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Penelitian ini membahas tentang penggunaan Instagram dalam pengajaran &lt;em&gt;writing skill&lt;/em&gt; (keterampilan menulis) pada mahasiswa tahun pertama. Penelitian tersebut berisi tentang sebuah refleksi dari seorang pengajar yang telah menggunakan Instagram sebagai media pendukung pembelajaran &lt;em&gt;writing skill &lt;/em&gt;melalui pendekatan proses-genre. Data penelitian berasal dari jurnal harian yang sekaligus digunakan untuk mencatat serangkaian kegiatan yang dilalui pada proses pengajaran. Hasil dari penelitian ini menunjukkan bahwa penggunaan Instagram mampu meningkatkan keterampilan menulis mahasiswa sehingga mereka menyadari bahwa menulis merupakan bagian daripada kegiatan sosial serta, serta membantu mereka untuk bisa membuat sebuah karangan atau tulisan yang sempurna. &lt;em&gt; &lt;/em&gt;
Program Mitigasi Bencana Banjir dan Tanah Longsor Akibat Cuaca Ekstrim di Desa Sade Lombok Tengah NTB

The condition of the situation in Sade Village is a hill, slope and mountainous area with and has a marble of more than 20 degrees, a thick layer of soil above the hillside, there is a poor water and land use system, resulting in flooding and landslides. The incident occurred in early 2021. This was carried out by a community service program to anticipate the possibility of floods and landslides due to extreme weather. This service was carried out by the Research Group on Electro Magnetic Technology and Environmental Conservation for Humanity. One of the missions related to the village community is towards Tangguh Bencara Village (DESTANA).
Survey Paper on Automatic Detection of Fake Profile Using Machine Learning on Instagram

With the arrival of the Internet and social media, at the same time as masses of humans have benefitted from the full-size reassets of records available, there was an full-size boom with inside the upward push of cyber-crimes, mainly targeted closer to women. According to a 2019 file with inside the Economics Times, India has witnessed a 457% upward push in cybercrime with inside the 5 years span among 2011 and 2016. Most speculate that that is because of effect of social media inclusive of Facebook, Instagram and Twitter on our day by day lives. While those simply assist in growing a legitimate social network, advent of consumer debts in those websites normally desires simply an email-id. A actual lifestyles man or woman can create more than one fake IDs and for this reason impostors can effortlessly be made. Unlike the actual international state of affairs in which more than one policies and guidelines are imposed to become aware of oneself in a completely unique manner (as an instance at the same time as issuing one’s passport or driver’s license), with inside the digital international of social media, admission does now no longer require this kind of checks. In this paper, we study the one-of-a-kind debts of Instagram, specifically and try and verify an account as fake or actual the use of Machine Learning strategies specifically Logistic Regression and Random Forest Algorithm.
Criteria for Adapting Students’ Practices to Current Conditions

The present study aims at identifying some efficient ways regarding the development of the pedagogical practice of students in the Pedagogy of Primary and Preschool Education in a synchronous format. Thus, a series of aspects were identified during the first semester that helped us to highlight the strategies that allow students a good knowledge and understanding of the aspects related to pedagogical practice. The study focused on several components viewed and analyzed from two perspectives: of students with studies in the pedagogical field and of those with studies in another field. Thus, the components followed were: ways of conducting meetings in a synchronous format, methods used, the degree of applicability of the contents, the capacity for reflection and self-reflection on the competencies of the teacher, difficulties and suggestions for improvement. The study’s conclusions were based both on the students’ answers to the applied questionnaire, but also on the analysis performed by the pedagogical practice tutors, resulting in the fact that the strategies used had an impact on all students and that in the future encouraged autonomy in learning.
Simulation of articulation and rhythmic techniques on the saxophone

The article describes the physical modeling of wind instruments provides digital sound synthesis based on a set of parameters that have a direct physical interpretation.Going beyond sound synthesis programs, such models can be used to analyze the mechanism of sound generation.Blowing into the mouthpiece of a saxophone allows the player to control the oscillation of the reed by creating a pressure difference across its surface.When the reed oscillates, it creates an alternating opening and closure to the bore, resulting in a periodic train of pressure pulses, or a reed pulse sequence, that enters into the instrument bore.The propagation of pressure waves in the cylindrical and predominantly conical sections of the saxophone may be modeled in one dimension using a digital waveguide, with a bi-directional delay line accounting for the acoustic propagation delay, and additional filter elements accounting for losses distributed along the length of the instrument and at the boundaries.Though open tone holes, used by the player to control sounding pitch, do complicate the issue, they can still be modeled within a one-dimensional waveguide context by lumping their effects at waveguide boundaries (i.e. with the bell).For wind instruments, one of the primary ways in which a performer controls sound production, aside from changing pitch using instrument tone holes/keys, is by changing the air flow into the bore through alterations of blowing pressure and embouchure.In saxophone playing, estimation of the signal generated by the reed, the reed pulse, by inverse filtering the effects of the instrument can, therefore, yield a signal holding many of the more subtle playing parameters.In this publication, we approach also the problem of visualizing the playing of the saxophone from the standpoint of the psychomotorical skills of the instrumentalist performer, due to the nature of the instrument, the specifics of sound production on it, as well as the structure of the intonational-artistic image -the subject of imitation, embodiment and communication.
Розпізнавання облич за допомогою згорнутої нейронної мережі

Modern trends in security and development of information technologies push forward all spheres of human life. The task of isolating a human face in a natural or artificial setting and subsequent identification has always been among the highest priority tasks for researchers working in the field of machine vision systems and artificial intelligence. In addition, the task of recognition is very relevant in the field of security – both for storing data and for finding criminals on surveillance cameras, and so on. In addition, all recognition systems use neural networks to improve performance, increase efficiency and facilitate the process itself. However, at present, despite the similarity of tasks and methods used in the development of alternative systems for biometric identification of a person, such as identification by fingerprints or by the image of the iris, the identification systems by the image of the face are significantly inferior to the above systems. Therefore, improving face recognition systems has many improvement paths. In the work, an analysis of literary publications, existing algorithms used in face recognition and human identification was carried out. The main method of face recognition is the use of a convolutional neural network, the selection of objects in the image is carried out using the Viola-Jones method, the AdaBoost machine learning algorithm is used, and the Haar classifier is most often used as a classifier. The article is devoted to the creation of software for face recognition using a convolutional neural network in real time. The software can recognize and identify a person with head tilt, tilt, and under different lighting conditions. In this case, sampling training for the model is carried out on a limited number of photographs. Experimental studies were carried out to test the developed mathematical model and the real-time face recognition algorithm.
TSAL: Two steps Adversarial learning based domain adaptation

Since labeled data availability differs greatly across domains, Domain Adaptation focuses on learning in new and unfamiliar domains by reducing distribution divergence. Recent research suggests that the adversarial learning approach could be a promising way to achieve the domain adaptation objective. Adversarial learning is a strategy for learning domain-transferable features in robust deep networks. This paper introduces the TSAL paradigm, a two-step adversarial learning framework. It addresses the real-world problem of text classification, where source domain(s) has labeled data but target domain (s) has only unlabeled data. TSAL utilizes joint adversarial learning with class information and domain alignment deep network architecture to learn both domain-invariant and domain-specific features extractors. It consists of two training steps that are similar to the paradigm, in which pre-trained model weights are used as initialization for training with new data. TSAL’s two training phases, however, are based on the same data, not different data, as is the case with fine-tuning. Furthermore, TSAL only uses the learned domain-invariant feature extractor from the first training as an initialization for its peer in subsequent training. By doubling the training, TSAL can emphasize the leverage of the small unlabeled target domain and learn effectively what to share between various domains. A detailed analysis of many benchmark datasets reveals that our model consistently outperforms the prior art across a wide range of dataset distributions.
By1510 @ HaSpeeDe 2: Identification of Hate Speech for Italian Language in Social Media Data

Hate speech detection has become a crucial mission in many fields. This paper introduces the system of team By1510. In this work, we participate in the HaSpeeDe 2 (Hate Speech Detection) shared task which is organized within Evalita 2020(The Final Workshop of the 7th evaluation campaign). In order to obtain more abundant semantic information, we combine the original output of BERT-Ita and the hidden state outputs of BERT-Ita. We take part in task A. Our model achieves an F1 score of 77.66% (6/27) in the tweets test set and our model achieves an F1 score of 66.38% (14/27) in the news headlines test set.
Sistem Informasi Administrasi Kemahasiswaan dan Alumni (Smart Adma) dengan Metode Extreme Programming (XP)

The purpose of this research is to develop a website-based system to facilitate the academic administration of student affairs at the Faculty of Information Communication Technology, Universitas Nasional in providing various student information ranging from information on association activities, scholarships, competitions, achievements achieved by FTKI (SI-TI) students. and helping FTKI students and graduates to find updated information about job vacancies related to information technology. This study will develop an administrative information system for student affairs with the Extreme Programming method, an Agile Development Method. will include FTKI students and graduates as users. The results of research from the Student and Alumni Administration Information System (Smart Adma) can provide time efficiency in administrative management, make it easier for students to get information from association activities, proposals, requests for funds to submission forms and internship assessments, as well as alternative media during the Covid 19 Pandemic.Keywords:Information Systems, Smart AdMa, Extreme Programming Method (XP).
Line tracking control of royal Thai air force nursing mobile robot using visual feedback

Abstract The specific objective of this study was to design a Royal Thai Air Force (RTAF) nursing robot, so-called Thadloom, to assist medical personnel in delivering food, medical supplies and communicating remotely with patients during the COVID-19 pandemic. This study also seeks to develop many identical mobile robots to be used in concerned places, such as hospitals or clinics, to reduce the risk of infection to medical personnel when entering the controlled area COVID-19-patients. This paper presents the design and implementation of real-time vision systems for the RTAF nursing robots when used in the controlled area of COVID-19-patients, with a capacity of delivering food and medical supplies automatically. The robots were able to follow lines on the floor using visual feedback. A contour tracing algorithm was implemented for line identification and position estimation. Linear segments with parabolic blends were used for the robot’s trajectory planning. The robot can track a line on the floor effectively by employing a PID controller. This experimental result showed that the developed vision-based state estimation and the designed PID controller. It was also found that it received a good satisfaction towards the accuracy of the position within 3.5 centimeters, i.e., The distance from the center of the robot to the center of the line.
THE ROLE OF MUSIC IN PSYCHOLOGICAL AND EMOTIONAL DEVELOPMENT

"It is widely believed that a truly “whole” person is one whose intellectual and emotional responses are normally developed; yet our patterns in education tend to stress the intellectual and ignore the emotional. Te arts, because of their emotional demands, make for. stronger bond between persons who can share in the art experience. This is especially so of music which has a long been termed the universal tongue. It is a form of communication in which every human being can participate. Many studies have shown that it is not by accident that we find minimal behaviour problems among the students who are involved with music study. It is now believed that the child who becomes involved in expressing himself/herself through the media of music takes on new dimensions in his or her psychological, behavioural and sociological relationships. It is this paper, we shall draw upon the experiences of music educationists from various countries, and as a consequence, it is reaffirmed that for a holistic and balanced development of students personalities music study should be mandatory in school curricula."
Modified Energy Statistic for Unsupervised Anomaly Detection

For prognostics in industrial applications, the degree of anomaly of a test point from a baseline cluster is estimated using a statistical distance metric. Among different statistical distance metrics, energy distance is an interesting concept based on Newton’s Law of Gravitation, promising simpler computation than classical distance metrics. In this paper, we review the state of the art formulations of energy distance and point out several reasons why they are not directly applicable to the anomaly-detection problem. Thereby, we propose a new energy-based metric called the P-statistic which addresses these issues, is applicable to anomaly detection and retains the computational simplicity of the energy distance. We also demonstrate its effectiveness on a real-life data-set.
AUDIO JOURNAL: ALIH MEDIA JURNAL ILMIAH DALAM BENTUK AUDIO SEBAGAI ALTERNATIF LITERASI DALAM PEMBELAJARAN ENTREPRENEURSHIP

This article describes the creation and use of audio media containing scientific journal content. Scientific Journal is a form of news or communication that contains scientific works and is published on schedule in electronic and / or printed form. Scientific journal articles is made to provide useful information and knowledge. Currently most of the higher education institutions have Journal products. The problem that occurs is that the community does not take advantage of this scientific article, journalists are dominated by academics. Students who are supposed to cultivate scientific literacy are less interested in reading scientific journals. The low literacy culture is relevant to the instant culture of the younger generation who tend to be less likely to read. The purpose of this research is to provide an alternative literacy by transferring scientific article media from reading media to listening media. Scientific articles according to published entrepreneurial material are recorded with digital sound technical standards, this product prototype in the form of an Audio Journal can be accessed through all Digital Podcast Providers. Through the Audio Journal, students have easy access to scientific articles anywhere and anytime. This research uses qualitative methods and an interdisciplinary approach. Scientific journals are windows to an ever-evolving science, so that ease of access should be an important principle. The result achieved in this study is an alternative media literacy that is easy and fun for students to access, especially in the Entrepreneurship course. Audio Journal can also be used by people with disabilities to be able to access journals using listening media.Keywords: audio journaling, literacy, science
The Medium of Music

The text analyzes the media dimension of music.This involves questioning the relationship between oral and music, the concept of man and his predispositions, as well as the important places of music history and the important places of reflection on music.The text seeks to show the importance of music throughout history, but also the most important, which is often forgotten: Music is the medium.In what ways?This text attempts to answer that question.
Identifying High-Risk Workspaces during COVID-19 using Machine Learning

The COVID-19 pandemic has wreaked havoc worldwide, on both public health and the worldwide economy. While necessary, quarantine and social distancing requirements have left many companies unable to reopen their offices in a safe manner. We present a model capable of identifying workspaces at high risk for COVID-19 disease transmission and illustrate how existing techniques for quantifying uncertainty in machine learning can be applied to assess the reliability of these predictions. This model is developed using a dataset created by leveraging historical sales data and detailed product information, and it is in the process of being utilized to identify customers to whom to reach out to facilitate the retrofitting of workspaces to support a safe return to the office.
Implementation Of Combinatorial in Determining Password Technology

In the era of the Industrial Revolution 4.0, the use of technology has increased rapidly in less than 1 century, so that the use of technology has become a common need of society today. At this time, Users who use this technology even store personal or digitally important things such as storing important documents, personal information, even storing digital wallets or other things that are related to the user's confidentiality. so that to maintain the confidentiality of these things from other users, security is needed that can protect all the contents of the data that we have in this technology so that not just anyone can access things that are important in using this technology.
Visitor Management System

Visitor management system as the name suggests it is used in places where a large number of visitors come and go.Whether we are running a huge corporate company or a small office, we'll need to affect visitors on a day to day.For the sake of safety, we should always keep track of all those that visit your premises. Visitor management system records the visitant details within the database to take care of records of all the people that visited the building. By stacking information, a Visitor Management System can record the usage of the facilities by specific visitors and offer documentation of tourists. Modern visitor management system allows the operator to know the visitors are inside the premises replacing with the old technique of manually entering where keeping track of who is currently inside the premise. On the time of registration the Visitors are given access which indicates where the visitor should have access of. System also has inbuilt facility to point or investigate previous visits made by the visitor which increases authentication of tourists. Manual systems are boring due to its time consumption but during this visitor management software it records all-relevant information about the visitor and stores it automatically.
Specific Aspects Of The Formation Of An Individual's Ability To Innovate In The Process Of Education

It consists in the theoretical and methodological determination of the future prospects of meeting the needs of highly qualified innovation-thinking specialists necessary for the life of society by opening up the general laws of the integration of the knowledge accumulated by our great ancestors and their followers in the field of natural, social and humanitarian sciences into the minds of educators.