Reviewerly/exHarmony huggingface dataset:
Effective Virtual Environments

Abstract—Since the power of technology is in a state of continuous growth, many organisations are adopting the use of a virtual environment. There is no doubt that COVID-19 has played a significant role in accelerating and spreading the adoption of such a trend in different sectors, such as education, sales, software development, and medical sectors. Although the increasing trend may be towards building virtual teams, there are still some aspects not ideally handled by virtual environments. This paper presents the challenges and barriers, where current technologies used in establishing virtual environments have not yet been covered. In addition, it provides guidelines that can be used in designing and building software tools that support collaboration in virtual environments.
CONTENTS OF METHODICAL TRAINING OF FUTURE TEACHERS-MUSICIANS FOR THE USE OF BELL RINGING MEANS IN PROFESSIONAL ACTIVITY

The urgency of improving the professional training of future music teachers in connection with the growing public demand for the professional qualities of teachers is substantiated. It is established that the teacher’s search for a new content of education, in particular among ethnopedagogical bell ringing means, the use of non-traditional methods and forms of teaching will promote creative development of an individual, the formation of value attitude to the traditions and customs of his/her nation. The necessity of formation of methodical readiness of future teachers-musicians for the use of bell-ringing means in professional activity is defined. The development of students’ motives for studying bell ringing will be more effective by directing the educational process of art and pedagogical faculties to the development of future music teachers’ bell ringing competencies. The purpose of the article is to highlight the author’s contribution to the content of academic disciplines included in the cycle of professional training of future music teachers, information about bell ringing, as well as to present the methodological content of lectures and practical classes. Among the vectors of innovative adjustments, making changes to the work programs of educational components, the organization of independent extracurricular activities of music students have been defined. The author’s system of semantic additions to the disciplines of the professional cycle of training future teachers of music has been presented. Instructional and methodical materials for lectures, seminars and practical classes, organization of independent work have been developed. The practical value of the paper lies in the presentation of creative, didactic tasks that will contribute to the formation of students’ skills and abilities to use the bell-ringing means in professional activities. Cognitive and research work, excursions, expedition and on field collection of materials about bell-ringing of the region, production of photomontages, slide compositions, video materials, presentations of the developed creative projects have been suggested as extracurricular forms of work. Thus, the introduction of bell-ringing material in the normative and practical component of higher education will make it possible to eliminate contradictions between students’ acquisition of theoretical knowledge and their practical application.
THE STYLE FEATURES OF STUDENTS' COGNITIVE ACTIVITY AS THE BASIS FOR FORMATION OF MATHEMATICAL LITERACY

Mathematical literacy is the main indicator of the mathematical development of schoolchildren from different countries. In the concept of the direction "mathematical literacy" of the PISA-2021 study, the key component of the concept of mathematical literacy is mathematical reasoning. The development of this skill, first of all, is determined by the stylistic features of the cognitive activity of students in the study of mathematics. Taking them into account in the development of educational material in mathematics will create optimal conditions for the formation of a key component of mathematical literacy. But there are many stylistic features of cognitive activity. Therefore, to develop optimal conditions, taking into account the style features, it is necessary to answer the question: "Which of the style features of cognitive activity have a stronger effect on the effectiveness of solving mathematical problems and how to implement them in educational mathematical activity." In our study, we identified various ways of implementing style features in educational mathematical material, one of the most significant are ways of presenting (coding) information. With this in mind, an experiment was conducted. We applied analysis of variance to its results. The study showed: 1) in general, it is possible to trace relations between successful mathematical problem solving by students with certain individual styles and the way the selected problem is represented; 2) it is necessary to make further research on students' awareness of their personal cognitive characteristics (style features).
Computer Self-Efficacy and Organizational Culture In Affecting Technology Acceptance Model

As the leading provider of education, teachers need to have high technology adoption skills. There is LMS technology in inputs that can streamline learning practices. Mostly with inclusion of the impact of organizational culture and machine self-efficacy on LMS Schoology, this study aims to see the capacity of technology acceptance by teachers using the Technology Acceptance Model (TAM).The results of the study using the model described above for teachers in the cities of Salatiga and Boyolali show that organizational culture does not have a major impact on attitude or purpose to use towards LMS Schoology.The self-efficacy of computers may not affect perceived utility, but has a substantial impact on perceived ease of use. The model also indicates that teachers, while they find it difficult to incorporate it, have a positive attitude towards the nature of LMS technology.
Voice Controlled Personal Assistive Bot with Object Detection

Currently innovation has made our lives simpler for individuals. Be that as it may, from this innovation, certain gatherings of individuals need more assistance and backing for old or handicap individuals. This innovation can make a method of having a typical life. Thus, we zeroed in on the idea of an individual colleague robot. The fundamental objectisto supply helptodebilitated people.ThisPerson alassistive Bot help to decrease the manual endeavors being put by people in their everyday errands. The intention is to execute a specialized work that is voice controlling one which can act as a PA that can performvarious errands or administrations for a person.This is uncommonly intended for this group of people asits primary reason for existing is to supply help to relate senior or debilitated individual. The human voice order is given to the mechanical right hand distantly,by utilizing a voice order.The automaton will perform different movements: Forward, Backward, Right, Left and start/stop activities. The robot can likewise peruse and perceive the letter sets and text and the words which are said by the person will check from the google dictionary and printasatext.The capability of the robotisto detect the objects and relocate the m from one place to another and includes the face recognition. So, our main ideology is to create a personal assistance bot, which is capable of handling small objects. We are planning to make the bot consisting of four wheels and an arm placed on top. Using Raspberry Pi, we are communicating the sensors and motors throughour voice commands. Smart assistants like Google for android,Sir ifor Apple,Corton a for Microsoft,the seassistive gives us a platform to communicate to a bot. Asweare programming on Python, Amodule name Pyaudio will helpto communicate with a bot and having the extra feature like ‘Speechto Text’.And we would like to add an extra feature like object and person detection. A Camera module will be installed for capturing video and recognize the Humans and objects carried out with Machine Learning Algorithm
PENINGKATAN KAPASITAS KEMAMPUAN PERAWAT DALAM MENENTUKAN DIAGNOSA KEPERAWATAN BERDASARKAN TEORI PATIENT CENTERED DI RSUD BANGIL

ABSTRACT&#x0D; One of the nursing processes is determining nursing diagnoses. The determination of nursing diagnoses is based on the theory used, one of which is Carpenito's theory, which is based on patient responses as a guide in determining nursing diagnoses. This theory is not in line with the current situation. So this theory cannot answer the needs of patients because patients who are hospitalized cannot always respond or complain. Based on these problems, the authors provide instructions for determining nursing diagnoses based on the Abdella Faya theory, which is based on body physiological disorders.&#x0D; The service targets are nurses in the Bangil Hospital treatment room. The problem is resolved in two stages of activity, namely preparation and implementation. Preparation is carried out by conducting research in 2017 to see conditions in the field regarding nurses' procedures for determining nursing diagnoses. Implementation is carried out by the lecture method, namely the technique of determining nursing diagnoses and case exercises as a form of nursing diagnosis determination workshop activities.&#x0D; The results of the training activities show the level of success with an indication of the suitability of the material with the needs of nurses in determining nursing diagnoses, a positive response from the participants and the majority (90% of participants have understood the concept and how to determine nursing diagnoses.&#x0D; &#x0D; Key words: determination, nursing diagnosis, Patient Centered, Bangil general Hospital
Overview and justification for choosing technology stack for data analysis system

The main advantage of the automation process is that it allows to reduce the amount of required memory, reduce the time for data processing, and reduce the number of copies of documents when updating information. The choice of technologies for developing an application is an important stage which has been described in paper. Before developing the analyze data system, the requirements should be carefully prepared and described. A well-chosen combination of technologies should ensure comfortable work in the future at all stages of the application's existence Obviously, the technology stack should be easily scalable, functional, correspond the latest market trends. It should meet the most modern features. Most importantly, it has to be easily supported in the future by other developers. React.js has a capacious and understandable API. To work with React, it is necessary to understand a number of terms and the differences between them. The TypeScript language is one of the most popular technologies of recent years, both in Frontend and Backend development. Its popularity continues to grow and it is at the heart of many projects. GraphQL is a query and data manipulation language for APIs. The name D3 itself stands for data driven documents and focuses on data management.
Hybrid Algorithm Based on Simulated Annealing and Bacterial Foraging Optimization for Mining Imbalanced Data

The bacterial foraging optimization (BFO) algorithm can simulate the mechanism of natural selection.However, as the direction of inversion is uncertain in the chemotaxis process, it easily falls into a local optimum.We propose a hybrid algorithm based on simulated annealing (SA) and BFO for mining imbalanced data.The key idea is to exploit the advantages of both SA and the BFO algorithm.In the proposed algorithm, SA finds the optimal solution by employing a jump process, so as to solve the uncertainty of the reversal direction in the chemotaxis process of BFO and avoid falling into a local optimum.SA is used to improve the chemotaxis process of BFO, and then the swarming process, reproduction process, and eliminationdispersal process of BFO are implemented.Four imbalanced datasets are used to test the performance of the proposed hybrid algorithm.In each imbalanced dataset used for testing, there is a certain correlation between the variables, making the dataset multivariate.Through the proposed algorithm, these four multivariate imbalanced datasets are effectively classified, and its performance compared with that of other algorithms.Experimental results show that for the different multivariate imbalanced datasets, the proposed algorithm is better than the original BFO algorithm in terms of various performance indicators.By combining the proposed algorithm with sensor-related technology, in the future, medical multivariate data and security monitoring system data obtained by sensors can be analyzed to improve the classification accuracy of multivariate data.
ANALISIS FAKTOR-FAKTOR TERJADINYA MEDICATION ERROR DI APOTEK RSI IBNU SINA BUKITTINGGI

A medication error is a health problem that has many impacts on patients ranging from mild risk to even the most severe risk of causing death. The number of mistakes in prescription writing at Ibnu Sina Bukittinggi Hospital in September 2016 increased to 60.90%. Therefore, the study aims to analyze the factors causing medication error at the pharmacy Ibnu Sina Bukittinggi RSI. This type of research uses a qualitative research approach. Informants in this study were 5 people who were taken intentionally (purposive sampling). The results showed that the type of prescribing error occurred in unclear prescription writing so that it could lead to errors in the administration of drug doses. Errors in the dispensing phase occur from the time of preparation to prescription delivery by pharmacists, which is the wrong way of taking drugs from a storage rack due to packaging or similar drug names. Dispensing errors also occur due to incorrect identification of patients and do not cross check again. Errors in the administration phase occur in the process of using drugs from the time of preparation to prescription delivery by pharmacists. It can be concluded that medication error at RSI Ibnu Sina Bukittinggi occurred in the phase of prescribing error, dispensing error, and administration error.
PRIVACY-PRESERVING IN MULTI-PARTY DATA RELEASE ON CLOUD FOR BIG DATA USING FUSION LEARNING

The data volume increases every day and the next wave of apps cannot be envisaged without the created and executed data-driven algorithms. In this post, we undertook an extensive survey on privacy issues in the context of big data. At every point of the Big Data life cycle, we explored privacy challenges and discussed some of the advantages and disadvantages of the Big Data application of new privacy conservation schemes. Much progress has been made in protecting the protection of consumers from data production to data storage, but many transparent questions and hurdles exist.
Segregation of IoT Traffic with Machine Learning Techniques

The Internet of Things (IoT) is emerging as a new infrastructure of 21st century. With the advent of cloud computing and evolution of IoT, the classification of traffic over IoT networks has attained significance importance due to rapid growth of users and devices. It is need of the hour to isolate the benign traffic from the malevolent traffic and to channelise the normal traffic to the intended destination to suffice the QoS requirements of the IoT users. A proficient classification mechanism in IoT environment should be capable enough to classify the heavy traffic in a fast manner, to deflect the malevolent traffic on time and to transmit the benign traffic to the designated nodes for serving the needs of the users. In this manuscript, machine learning and deep neural networks-based approaches are proposed for segregating the IoT traffic which eventually enhances the throughput of IoT networks and reduces the congestion over IoT channels. This paper also provides insights into the future research endeavors to channelise the normal traffic and to handle the malicious traffic
Examining child obesity risk level using fuzzy inference system

The doctor will determine the risk level of childhood obesity by using standard calculations, namely measuring the child's weight and height, and many other factors. Then the doctor will calculate the child's body mass index (BMI). The results of calculations made by the doctor will be compared with standard/normal values set by FAO/WHO, to obtain the level of risk of obesity in children. This study aims to analyze the risk level of obesity in children using the Sugeno method of Fuzzy Inference system, using the trapezoidal membership function and involving six input variables such as exercise habits, consumption of fast food, history of obesity of parents, and others. The application of the fuzzy inference system Sugeno method can help doctors to analyze the risk level of childhood obesity quickly and accurately with an accuracy rate of 85%. The results of the implementation of the Sugeno method of Fuzzy Inference system showed that out of 140 children who were the object of the study, 119 children received a diagnosis of the level of risk of obesity which was the same as the diagnosis made by a doctor.
A Density-Based Method for the Identification of Non-Disjoint Clusters With Arbitrary and Non-Spherical Shapes

Overlapping clustering is an important challenge in unsupervised learning applications while it allows for each data object to belong to more than one group. Several clustering methods were proposed to deal with this requirement by using several usual clustering approaches. Although the ability of these methods to detect non-disjoint partitioning, they fail when data contain groups with arbitrary and non-spherical shapes. We propose in this work a new density based overlapping clustering method, referred to as OC-DD, which is able to detect overlapping clusters even having non-spherical and complex shapes. The proposed method is based on the density and distances to detect dense regions in data while allowing for some data objects to belong to more than one group.Experiments performed on articial and real multi-labeled datasets have shown the effectiveness of the proposed method compared to the existing ones.
Development of 3-degree-of-freedom HMI for omnidirectional wheelchair typed mobile assistive robot using simple force detection mechanism

In recent years, electric powered wheelchairs have become indispensable in long-term care. Up so far, many electrically powered wheelchairs have been developed to reduce the burden of caregivers, in which omnidirectional electrically powered wheelchairs attracted researchers’ attentions because these types of EPWs can be used without stress in narrow and/or crowded spaces. In this research, we have developed an omnidirectional wheelchair typed mobile assistive robot with power assistance. In addition, traditional electric powered wheelchairs use a joystick or a force sensor as the operation interface. Joysticks cannot be used by the elderly or disabled, and force sensors are too expensive to be used for wheelchairs. In this study, we have developed a new type of Human Machine Interface (HMI) using a mechanism that can detect force at low cost by using linear potentiometers and compression coil springs instead of a force sensor. The accuracy of the developed HMI is verified, and its effectiveness is confirmed in practical use. Further, we conducted power assisted experiments in forward/backward and lateral directions and turn on the spot using an admittance control with the developed HMI attached to our omnidirectional wheelchair robot. From the experimental results, the developed HMI control accurately measures the forces applied on the wheelchair by the user. Finally, a power-assisted experiment was conducted in the straight direction on a 5-degree slope. These experiments proved that our HMI-based power assist system is effective for omnidirectional wheelchairs.
Problems in Learning English Faced by Elementary School Students in Jambi City

Considering the importance of learning English since early ages, some elementary schools in Jambi City administer English as one of the local contents.However, based on the preliminary observation, many students encountered a number of problems in learning English that needs further exploration.This study aims at finding out problems faced by the elementary schools students in Jambi City in learning English.This study used a descriptive method taking teachers and students from seven elementary schools in Jambi City as the respondents.The data were collected using questionnaires and interviews.The questionnaires were distributed to the students through Google form, and the interviews were conducted to teachers of the seven elementary schools.The data were analyzed quantitatively.The results show that the problems faced by the students are: (i) lack of vocabulary; (ii) pronunciation difficulties; (iii) unexpected learning atmosphere; and (iv) less motivation.The findings suggest the need of more creative teachers who are technologically literate and easily adaptable to the students' problems in learning English.
Implementation of Project Based Learning (PjBL) Models in Literacy of Urban Society Life Style Based on the Popular Metropop Novel

This article contains a discussion of the implementation of the Project Based Learning (PjBL) learning model in literacy of urban society life style based on the popular novels metropop in Literature Criticism studies.The study of literature criticism aims to develop knowledge, skills, and critical attitudes in applying various literary theories and conduct literary criticism activities for the benefit of literary study and appreciation.As a final project in this course, students publish Anthology of Literary Criticism by examining popular novel metropop as an object of study from aspects of urban life style that are represented in popular novels metropop.To produce the anthology book product, the Project Based Learning (PjBL) model is used.Project Based Learning (PjBL) is a learning model that uses projects as a medium.PjBL learning model can be used to create more interactivity and control in learning.PjBL model focuses on the activities of students to explore, interpret, synthesize, and use information in producing various products as a form of learning outcomes.To implement the Project Based Learning learning model in Literary Criticism studies, this research uses the theory of Stoller (2006), Keser (2010), and Papandreou (2016).The results showed that the PjBL learning model can be applied in Literary Criticism studies as an effort to increase independence, cooperation (collaboration), and tutoring.