Reviewerly/exHarmony huggingface dataset:
TEACHER TRAINING FOR THE IMPLEMENTATION OF AN INTEGRATIVE APPROACH IN THE SYSTEM OF SCHOOL NATURAL SCIENCES EDUCATION

The article considers the problem of preparing a teacher of natural sciences for the implementation of an integrative approach in the system of school natural sciences education. The integrative approach has been identified as one of the leading ones at the current stage of reforming general secondary education in Ukraine. In the system of school natural sciences education, this approach is realized through the integration of content - teaching integrated natural sciences courses, solving complex and combined problems, interdisciplinary and intersectoral integration of forms of learning - holding educational projects, integrated lessons, extracurricular activities. For teachers of natural sciences, the problem of implementing the integrative approach is related to professional training. Until recently, in the system of training teachers of natural sciences, there was a division, inherent in industrial society, into physical-mathematical and natural sciences. As a result, there are no specialists who can teach all natural sciences, or an integrated course that combines biology, geography, physics and chemistry. Only in 2018, a new specialty was introduced in the system of professional training - a teacher of natural sciences, physics, chemistry, biology. We studied educational and professional programs of the new specialty. A survey of students and teachers was conducted. Based on the analysis, it was found that for high-quality training of teachers to implement the integrative approach in school education it is necessary to develop additional disciplines for students' choice, such as "Methods of studying natural sciences subjects at school based on the integrative approach", “Universal scientific picture of the world – methodology of natural sciences". Moreover, such courses should be implemented not only in the specialty 014. Secondary education (Natural Sciences), but also in certain specializations: physics, chemistry, biology, geography. Due to the new philosophy of education of the XXI century, the requirements for teachers are changing. The teacher of natural sciences must be deeply acquainted with the current state of natural sciences, their practical significance for sustainable development. Be able to independently develop programs and select educational and methodological support to achieve mandatory learning outcomes. Help students in self-determination and in the development of values. Constantly improve the own professional competence.
DIGITAL FABRICATION AS A LEARNING MEDIA FOR LIGHTWEIGHT STRUCTURE WITH CASE STUDY OF SHELL STRUCTURE

The lightweight structure system is an effort to optimize the structure to distribute the load efficiently. Unfortunately, students often have difficulty imagining the learning outcomes application in the real world when studying light structural systems. However, the use of the scalar model can still explain several essential aspects of a lightweight structural system, one of which is the effect of connection and formation of material components on the structural capability. Therefore, this paper aims to bridge the learning process by utilizing digital devices from the concept stage of structural modeling with the help of software (Rhinoceros, Grasshopper, and Kangaroo) to the realization process using laser cutting. The method used is a semi-experimental method that applies Hooke's law principle, which produces a shell structure system with a digital fabrication approach that utilizes a lightweight material, namely, corrugated paper board, as the primary material. This paper concludes that digital technology and digital fabrication processes can help students understand the concept of lightweight structures because they can use computer simulations, cut them using laser cutting, and assemble them in the field in a series of simultaneous processes.
Interaction of rural schools and families in the works of S. A. Rachinsky

The article analyzes pedagogical ideas and practical experience in organizing the interaction of rural schools and families, proposed in the works of famous teacher-innovator Professor S. A. Rachinsky. The possibilities for such interaction proposed in the works of the teacher are studied, a comparative analysis of the ideas of Rachinsky and the official doctrines of the Ministry of Public Education is carried out, the peculiarities of the implementation of the ideas of the teacher in practice are indicated, which provides for taking into account the individual characteristics of teaching and raising children from a peasant environment in a rural boarding school with the organization of practice-oriented labor education of trainees, as well as the formation of their knowledge, skills and abilities in the field of certain types of professional activity, focused on their future work in rural environment. It is indicated that thanks to Rachinsky's activity, the ideas of humanistic upbringing of children based on national traditions penetrated into the environment of the peasantry, which for centuries maintained conservative ideas about family upbringing of children, which assumed a strict hierarchy of child-parent relationships, reliance on community values, authoritarian style of parental behavior and recognition of the need for unconditional subordination of children to the will of their parents. Broad socio-cultural and educational activities of S. A. Rachinsky in rural environment, the opening of schools by him contributed to the formation of a new type of relationship between older and younger family members based on mutual respect and recognition of the child's right to realize his personal potential in society, thereby in a certain way humanizing the relationship between older and younger family members.
Do Internet Penetration and Online Censorship Levels Affect Long-Term Repression Success in Street Protest Prevention?

This research paper aims at learning whether Internet penetration and online censorship affect repression against civil society organization (CSO) capacity to prevent street protest events and/or reduce protest participant numbers in the long term. Although there is a large corpus of studies on the consequences of the Internet and social media development for street protest mobilization, there is little empirical research on whether offline CSO repression works in the age of the Internet and whether this new repression impact is modified by attempts to organize online censorship. I tried to solve this problem with large-N cross-national datasets on protest participation, CSO repression and online censorship as well as on the share of Internet users from 1990 to 2018. I propose a set of hypotheses claiming that repression has a negative unconditional effect on street protest probability and protester numbers, that the Internet penetration makes repression effect less negative or more positive, and that online censorship transforms repression impact into more negative and less positive. I test these hypotheses with pooled linear and logistic regressions weighted by inverse probability of loss to follow-up. The results demonstrate that when the repression effect exists, an uncensored Internet makes the weak repression effect positive and transforms highly severe repression effects from negative to null. Online censorship at a high level of Internet use only removes the positive effect of weak repression. Acknowledgments: The reported study was funded by RFBR and EISR, project number 21-011-32120.
Blockchain Enabled Services – Survey

Blockchain has now emerged as a disruptive innovation with a wide range of applications.According to a recent NITI Aayog report, "Blockchain: The India Strategy towards enabling ease of living, ease of business and ease of governance", the Indian Government is preparing a strategy to deploy the distributed ledger solution to improve governance using Blockchain Technology.Since this technology can be used to facilitate direct interaction between citizens and Governments to provide tailoring services without a governmental administrator [18].This paper presents an overview of blockchain-based applications across several domains, with the goal of developing a blockchain-enabled framework for the complete flow of vehicle data management protocol used by the Indian Road Transport Authority.
Applying Forensic Analysis Factors to Construct a Systems Dynamics Model for Failed Software Projects

Forensic analysis of failed software projects can aid in managerial understanding of the issues and challenges of delivering a successful project.The factors and their interrelationships causing software project failure are not well understood or researched with a strong forensicanalytic approach.Previous papers have not adequately explored how dynamic interaction of multiple factors can lead to critical events that ultimately portend eventual failure.This paper proposes the development of a System Dynamics (SD) model that will represent the key factors, their dynamic interactions, and the influence of exogenous events in causing software project failure.Forensic data will be used as inputs to the SD model to assist managers in understanding the factor interactions, the importance of individual factor metrics, as well as the sequence of interactions in causing possible software project failure.Outcomes from the model will include a likelihood of software project failure, possible factor sequences leading to failure, and suggestions of remediation activities that might mitigate eventual failure.
Programming Fidelity of an Integrated Silicon Nitride Quantum Photonic Processor

We study the programming fidelity of a 12-mode quantum photonic processor, the largest universal quantum photonic processor to date. The processor is a fully reconfigurable linear interferometer using silicon nitride waveguide technology.
Going Beyond Blockchain Adoption's Hype to Improve Supply Chain Sustainability: Evidence From Empirical and Modelling Studies

Potential solutions emerge with the fourth Industrial Revolution technologies, including the Internet of Things, Artificial Intelligence and Blockchain.The global supply chain requires greater traceability and transparency to ensure product security, efficient management and sustainable performance.However, traditional supply chains face several challenges related to traceability systems.This paper aims to analyse academic literature regarding Blockchain adoption in supply chains to improve traceability and transparency from a sustainable perspective.A systematic literature review was performed in order to provide verifiable evidence; we focused our investigation on empirical and modelling articles.Results suggest that Blockchain benefits occur through three levels: macro-level (overall supply chain network), meso-level (such as dyadic relationships) and micro-level (end consumers).However, we note that the contribution's results have not yet reached a consensus.We have therefore proposed three research insights towards addressing the identified gaps.
Message from the Program Chairs

It is our pleasure to welcome all of you to the technical program of the 2021 IEEE International Symposium on Workload Characterization (IISWC 2021), consisting of two keynotes and 19 technical papers.
EXPERIENTIAL LEARNING PROCESSES USING AN E-DIARY IN STUDENTS’ INTERNSHIP

The article/presentation analyses data from e-diary taken by 88 students from three groups of pedagogical programs who were studying in the following school years: 2018-2019 and 2019-2020. As part of the internship tasks, the diary had to be written regularly weekly (for a total of 20 or 22 weeks). According to the provided half-standardised e-diary form, every week, the research participants had to document the most significant/successful/problematic situation in their school internship and raise any questions. The database on an e-diary basis contains 1962 situations of internship pedagogical activity. The data presented in the article is general for the whole group of research participants. The data analysis is based on six stages: access to the data, data coding, finding topics, revision of the topics, a summary of the topics and preparation of the report. The article presents how the e-diary was designed and how the e-diary stimulates the metacognitive capacity to reflect upon thinking capacities. The thematic analysis of the entries in e-diary has been conducted according to the following three aspects: emotional, cognitive, and the change in internship activity. The thematic analysis's emotional aspect (which was revealed in the e-diary notes) has been reflected by the dynamics of satisfaction from the professional activity. The intellectual aspect has been revealed by the dynamics of changes in students' self-estimation, attitude towards learning, and the teaching profession. The diaries provided the opportunity to analyse the learning situations via descriptions in the e-diary and the participant's self-reflections on their gained internship experience.
Periodic interpolating-orthogonal bases of MRA and wavelets

The paper is devoted to the construction of interpolatingorthogonal periodic bases of mutiresolution analysis and corresponding wavelets from the existing orthogonal bases of wavelets.The mask m(ω) of an orthogonal scaling function ϕ(x) is converted in such a way that the new scaling function ϕ I (x) generates an interpolation and orthogonal system of integer shifts.According to the resulting system, periodic bases of scaling functions and wavelets are constructed.
Building Database-Enabled Web Applications With IDC

The World Wide Web (the Web) has been primarily constructed from static HTML pages. The static page always displays the same information regardless of individual user selections or personal preferences. In recent years, there has been a strong movement toward a more dynamic approach for Web page design. Web pages can now be created on the fly, customized to an individual viewer’s requirements, and linked with database servers to provide accurate, up-to-the-minute data. Internet Database Connector (IDC) is a technology developed by Microsoft to allow the execution of an SQL statement against a database and represents the results in an HTML page format. An access database will be used to support this sample application. Any directory that will be accessed by the Web server (IIS) has to be defined in the administration section of the Web server. The Add Entry button will appear on the search results screen only when there are no records in the result set.
Enhancement of observability using Kubernetes operator

Observability is the ability for us to monitor the state of the system, which involves monitoring standard metrics like central processing unit (CPU) utilization, memory usage, and network bandwidth. The more we can understand the state of the system, the better we can improve the performance by recognizing unwanted behavior, improving the stability and reliability of the system. To achieve this, it is essential to build an automated monitoring system that is easy to use and efficient in its working. To do so, we have built a Kubernetes operator that automates the deployment and monitoring of applications and notifies unwanted behavior in real time. It also enables the visualization of the metrics generated by the application and allows standardizing these visualization dashboards for each type of application. Thus, it improves the system's productivity and vastly saves time and resources in deploying monitored applications, upgrading Kubernetes resources for each application deployed, and migration of applications.
Underwater image enhancement via efficient generative adversarial network

Underwater image enhancement has been receiving much attention due to its significance in facilitating various marine explorations. Inspired by the generative adversarial network (GAN) and residual network (ResNet) in many vision tasks, we propose a simplified designed ResNet model based on GAN called efficient GAN (EGAN) for underwater image enhancement. In particular, for the generator of EGAN we design a new pair of convolutional kernel size for the residual block in the ResNet. Secondly, we abandon batch normalization (BN) after every convolution layer for faster training and less artifacts. Finally, a smooth loss function is introduced for halo-effect alleviation. Extensive qualitative and quantitative experiments show that our methods accomplish considerable improvements compared to the state-of-the-art methods.
Video conferencing as a face-to-face online meeting app: user preference based on usability testing

The global pandemic of Corona Virus Disease (Covid-19) that hit Indonesia since March 2020 has changed the face-to-face system from offline to online. Video Conference (VC) becomes an alternative choice for delivering material, both learning and working. VC is a technology that allows users to hold face-to-face meetings at their respective places simultaneously. Various VC apps are becoming increasingly popular these days, such as Google Meet, Zoom, Youtube, Webex, Skype, GoTo Meeting, and Big Blue Button (BBB). This study is intended to provide a usability test of VC applications (such as Zoom, Google Meet, and BBB) and provide recommendations for VC as an online conference media based on user preferences. The usability measurement technique used is the System Usability Scale (SUS) and the USE questionnaire. The results of this study show that Zoom has the highest usability value compared to Google Meet and BBB, Google Meet is ranked second and BBB is ranked third.
Applying Segmented Images by Louvain Method into Content-Based Image Retrieval

The amount of multimedia data has increased on personal computers and the Internet requires the essential to finding a particular image or a collection of images have enhanced of demands. It urges researchers to propose new sophisticated methods to retrieve the information one desires. In the case of, the legacy approach cannot grow up with the rapid rate of available data anymore. Therefore, content-based image retrieval (CBIR) has attracted many researchers to various fields. Content-based image retrieval models attempt to effort to automate data analysis and indexing. In this paper, we propose a content-based image retrieval system for real images. This method is using segmented images by the Louvain method [] to create features in order to apply to the CBIR system based on the Bag-of-Visual-Words (BoVW) model. In order to evaluate the proposed method, we selected the Corel dataset which is composed of 10 classes [] total of 1000 images in the dataset for the experiment. The experimental results are shown using qualitative and quantitative evaluations.
OPTIMIZATION PROCESSES IN THE ELECTRONIC EDUCATIONAL ENVIRONMENT

The article systematizes the characteristics of quality learning in an electronic educational environment, which are caused by using a variety of methods and techniques, which, in the case of their integrated application, will solve the problem of optimizing and improving the effectiveness of learning processes. The article summarizes the results of the study of student learning process, organized on an educational platform Moodle, on the example of academic discipline economic orientation and improving the effectiveness of the learning process using algorithmic and machine learning tools.
Online Offenders

Chapter 9 covers aspects of incidents that are initiated online generally through the social media. In the past parents were concerned with the dirty old man at the park. With modern technology and the Internet offenders can now sit in their own homes and seek potential victims across the county. Victims of all ages and both sexes are sought by offenders, and it is the exception now that offenders attempt to pass themselves off as a peer to their potential targets. Now, offenders tend to be open about their age and their interest in having sex with the victims. Offenders also exhibit some of the same grooming behaviors as offline offenders as they target and develop relationships with their victims. Internet offenders also have their own typology.
Educating (Upbringing) Students In The Context Of The Activity Approach

The fundamental changes that have taken place recently in Russian education have required a rethinking and reassessment of the importance of basic values. Social changes have led to the establishment of a new system of value orientations in the public consciousness. The process of forming a system of value orientations, which are necessary for the successful self-realization of students in their future professional activities, is of particular importance. The purpose of the study is to justify the need to include the upbringing component in the educational activities of students in the context of the activity approach and to show examples of optimizing upbringing of students. The upbringing activities carried out at the university will significantly reduce the social tension and disunity of students, increase the level of culture in relations, and comprehensively address issues of prevention of national and religious intolerance. The creation of information, social, psychological, pedagogical, and cultural conditions at the university contributes to the preparation of highly educated citizens who are ready to be responsible for the results of work.
Effect of the magnified finger by visual and force feedback on the feeling of synchrony

For motor neuron diseases whose main symptom is muscle weakness, neuro-rehabilitation technology is expected to provide efficient improvement in brain functions through spontaneous exercise. In this paper, we develop a system that simultaneously presents physical hand movement support by a force-assist glove powered by pneumatic artificial muscles (PGMs) triggered by EMG signals and visual feedback by displaying virtual fingers. The experiments were conducted under the condition of changing the presence or absence of actual finger motion support while the virtual hand motion is larger than actual hand motion, and the effect of the difference in the motion by the simultaneous feedback of vision and force on the feeling of motion synchronization is discussed.
Classification of Sentiments on online products using Deep Learning Model – RNN

Due to advancement of technology there is a large usage of social media which leads to demand for data in the web. This data is very helpful to categorize the opinions into different sentiments and general evaluating the mood of public. The current research contributions are towards to detect the complete separation of sentence regardless of their aspects. The computational observation of sentiments and opinions stated by people in written language. Examination of defies presented by informal and crisp micro blogging created the origins. The proposed work targets building up a model for conclusion characterization that investigates the product features. It is also addresses domain explicit vocabularies to offer an domain arranged methodology and subsequently dissect and extricate the purchaser opinion towards well known advanced cell marks in the course of recent years. This model describes the use of deep learning model such as recurrent neural network to get better accuracy over traditional machine learning methods such as Random forest, Naïve bayes. The RNN model got training accuracy 97.6% and testing accuracy 95.6% which are much better compared to traditional machine learning models.