Reviewerly/exHarmony huggingface dataset:
Data Replication Strategies with Load Balancing and Data Migration in Cloud Data Center

The evolution of Information Systems implies new applications and the need to migrate the data from a previous application to a new one. At the same time, some organizations may need to replicate data from one technology to another one, in order to have backup systems and have a flexible load balanced strategies. The maximal uniform distribution of the load across closer and number of simpler nodes can help managing and providing the big data and large workloads which are more easy to handle. The ultimate goal is to balance the load through cloud and make internet less cloud defendant by having data available closer to the user end. One of the most challenging steps required to deploy an application infrastructure in the cloud involves the physics of moving data into and out of the cloud. Amazon Web Services (AWS) provides a number of services for moving data, and each solution offers various levels of speed, security, cost, and performance. This stems from the fact that almost all the typical distributed storage systems only provide data-amount-oriented balancing mechanisms without considering the different access load of data. To eliminate the system bottlenecks and optimize the resource utilization, there is a demand for such distributed storage systems to employ a workload balancing and adaptive resource management framework. We propose a framework of Enhanced replication scheduling algorithm which balances the replicated data to be balanced and to handle the overload data integration by data migration concept which gives more data efficiency and improved performance during migration of replicated data. For handling of data migration, we propose Ant Colony Algorithm which gives a safe data migration from one end to the other. This will improve the efficiency, Cost and takes less duration for the data to migrated and to be equally balanced.
Study on Filtering and Eigenvalue Extraction of Partial Discharge Signal of GIS

At present, GIS (Gas Insulated Switchgears) has been more and more widely used in ultra-high voltage power system. But its structure is complex to disassemble hardly, and difficult to locate and maintain in case of failure. Therefore, it is necessary to conduct partial discharge detection on GIS to master the types and characteristics of its internal defects and avoid further deterioration of insulation defects. This paper introduces the filtering processing of signals in detecting GIS partial discharge by uhf method. It extracts statistical operators as pattern discriminating characteristic values by drawing various spectral diagrams, and finally uses BP neural network to realize pattern recognition to judge fault types. A large number of experiments show that the method has a high recognition rate and a good experimental effect.
Research informed teaching in a global pandemic: Opening up schools to research

The teacher-research agenda has become a significant consideration for policy and professional development in a number of countries. Encouraging research-based teacher education programmes remains an important goal, where teachers are able to effectively utilize educational research as part of their work in school settings and to reflect on and enhance their professional development. In the last decade, teacher research has grown in importance across the three i’s of the teacher learning continuum: initial, induction and in-service teacher education. This has been brought into even starker relief with the global spread of COVID-19, and the enforced and emergency, wholesale move to digital education. Now, perhaps more than ever, teachers need the perspective and support of research-led practice, particularly in how to effectively use Internet technologies to mediate and enhance learning, teaching and assessment online, and new blended modalities for education that must be physically distant. The aim of this paper is to present a number of professional development open educational systems which exist or are currently being developed to support teachers internationally, to engage with, use and do research. Exemplification of the opening up of research to schools and teachers is provided in the chapter through reference to the European Union-funded Erasmus + project, BRIST: Building Research Infrastructures for School Teachers. BRIST is developing technology to coordinate and support teacher-research at a European level.
Emergency remote teaching in the face of the Covid-19 pandemic in Middle and Higher Education

The objective of this work is to carry out an approach to the experiences of the teachers and students of Middle and Higher Education around the teaching strategy implemented during the health emergency by Covid-19 The sample was made up of 44 teachers and 116 students from a municipality in the south of the state of Sonora, Mexico From a theoretical point of view, the principles of Emergency Remote Teaching are addressed to face the crisis through school work mediated by technology An ad hoc questionnaire was designed to explore: a) the use of devices, connectivity and alternative instructional spaces to give continuity to the studies, b) the implementation of technological resources based on experience, difficulties and preparation, c) evaluation and received support and d) adaptation and projection of learning The results show the use of laptop and smartphone as the most widely used devices for the study, and the sending and receiving of information, respectively In addition, the increase in dedication time and difficulties for the reception-evaluation of school activities in both teachers and students is noted Regarding institutional support, the enabling of courses, software and virtual platforms represent the main actions to give continuity to the studies Highlighting the effort, will, technology management, changes in dynamics regarding the role and the revaluation of face-to-face classes as the main learning during confinement
PHILOSOPHER OF SCIENCE OLGA MEDUSHEVSKAYA: THE SOUL AND THE ICON OF THE INSTITUTE FOR HISTORY AND ARCHIVES (DEVOTED TO THE PUBLICATION OF THE SCIENTIFIC HERITAGE OF O.M. MEDUSHEVSKAYA)

The article analyzes the scientific heritage of the scholar and thinker, Professor Emeritus of the RussianStateUniversityfor the Humanities, Olga Mikhailovna Medushevskaya. The collection of her works was published in four volumes in 2017. This edition proved to be a significant event not only in Russian but also in the world science, since the works of O. M. Medushevskaya, characterized by an interdisciplinary approach, represent a model of systemic thinking, novelty in the formulation of problems and the impeccable rationale in resolving them. The humanitarian-anthropological vector of her research in the context of contemporary Human Being Studies has determined her contribution to world science. In the centre of Medushevskaya’s research is a valuable historical source as a phenomenon of human existence in an endless space-time continuum. Medushevskaya’s views on the regularities of Genesis, development and evolution of source studies and noospheric “measurement” of the information complex of sources are being discussed in the article. It is noted that Medushevskaya’s works reflect the formation and evolution of the theory and methodology of cognitive history. Another vector in the system of her views is represented by the phenomenological concept of history, which has finally been embodied in the work “History as a Rigorous Science”. With regard to the historical and documentary heritage, the phenomenological approach can be applied to the study of the manifestations of the objective and the subjective sides of archives’ activities, in which archival funds, being organically integral “clumps”, are included in the area of centralized identification, acquisition and storage of documents, as well as of their use and management. O.M. Medushevskaya has made a unique contribution to the formation of the humanitarian integrity of science as the basis of self-awareness of mankind. That is why the innovative ideas of O.M. Medushevskaya, her scientific heritage and her Personality attract more and more researchers in the world.
Pengaruh Edukasi Gizi Melalui Media Buku Cerita Terhadap Pengetahuan, Sikap Dan Perilaku Konsumsi Sayur Dan Buah Pada Anak Kelas 5 Sdit Thariq Bin Ziyad Tahun 2019

Nutritional problems in the community, especially among children, are lack of consumption of vegetables and fruit, as many as 93.6% of the Indonesian population of children aged ≥10 years are still consuming less vegetables and fruits, while the prevalence in West Java was obtained by 96.4% of the Indonesian population consuming less vegetables and fruits, this study aims to determine the effect of nutritional education through storybook media on the knowledge, attitudes and behavior of vegetable and fruit consumption in 5th grade children of SDIT Thariq bin Ziyad in 2019. The study design was a quasi-experiment design with a non-randomized one group pretest-posttest. The research subjects consisted of 33 students as the intervention group. The research subjects consisted of 33 students as a treatment group and a control group. The media used is story books. The results of bivariate analysis with the Wilcoxon Test Rank Test showed the knowledge of the intervention group (p = 0.002 (<0.05)), the attitude of the intervention group (p = 0,000 (<0, 05)) and the consumption behavior of the intervention group (p = 0,000 (<0.05)). This means that there are influences before and after the provision of nutritional education with storybook media on the knowledge, attitudes and behavior of vegetable and fruit consumption in 5th grade children as an intervention group.
Improving Document Retrieval with Spelling Correction for Weak and Fabricated Indonesian-Translated Hadith

Hadith has several levels of authenticity, among which are weak (dhaif), and fabricated (maudhu) hadith that may not originate from the prophet Muhammad PBUH, and thus should not be considered in concluding an Islamic law (sharia). However, many such hadiths have been commonly confused as authentic hadiths among ordinary Muslims. To easily distinguish such hadiths, this paper proposes a method to check the authenticity of a hadith by comparing them with a collection of fabricated hadiths in Indonesian. The proposed method applies the vector space model and also performs spelling correction using symspell to check whether the use of spelling check can improve the accuracy of hadith retrieval, because it has never been done in previous works and typos are common on Indonesian-translated hadiths on the Web and social media raw text. The experiment result shows that the use of spell checking improves the mean average precision and recall to become 81% (from 73%) and 89% (from 80%), respectively. Therefore, the improvement in accuracy by implementing spelling correction make the hadith retrieval system more feasible and encouraged to be implemented in future works because it can correct typos that are common in the raw text on the Internet.
Blockchain and Distributed Ledger Technology Applications

In about a decade of its existence, blockchain technology has seen some level of innovation diffusion to many sectors other than its genesis application of cryptocurrencies (see Figure 4-1). This chapter presents an objective view of the developments of blockchain and distributed ledger technologies beyond the cryptocurrencies. By drawing from the current states of the tech, I will present a detailed analysis of existing and potential use cases including ecommerce, Vickrey auction, self-sovereign digital identity management, and vital statistics recording. The chapter further lends key points to consider for applying blockchain and distributed ledger technologies in businesses. Here, starting from justifying why blockchain is a potential solution concept for a business, I will cover points such as asset digitization, participants identification and the degrees of permission, tokenization, decentralized applications, smart contracts and robust consensus algorithm, scalability of data throughput, payment channels, as well as a business model development for token sales.
Chemistry Acoustic (Chemcoustic): Android Based Application for Fun Chemistry Learning

Abstract Learning media are used to facilitate educational practices, both in terms of administration and as a tool in teaching and learning activities. Music and dynamic images are effective stimulants of the brain's work in developing eidetic intelligence, remembering visual information with high-level photographic accuracy. Making Chemcoustic application as audio visual media aims to develop students' learning abilities in understanding chemical concepts based on chemistry representations, by utilizing Android-based technology. The making of the application is carried out with the design stages of the application design in terms of the display, content, and lyrics of chemical songs, making music arrangements, song validation, application making, testing, and evaluation. The trial was conducted on 40 fresh graduated high school students using C1-C4 type test instruments in the form of pre-test and post-test. Based on the t-test quantitative analysis, the calculated t value is greater than the t table value, and the average gain score of the post-test (52.8975) is much greater than the average gain score pretest (15.68). Qualitative observation shows that learning using Chemcoustic applications is conducive, enthusiasm and activeness of students increases significantly. Chemcoutic application is effective as a medium of chemistry learning, as well as science learning that demands complex concepts with macroscopic, sub-microscopic, and symbolic representations.
Web 3.0: The Distributed Information Network Economy

This chapter presents the Web 3.0 economy with a primary focus on the network economies of blockchain technology and distributed ledger technologies (DLTs). It is designed to present a general overview of the Web 3.0 distributed network economy in light of some business, finance, and economic theories and practices. The chapter thus lucid the analyses to aid understanding the applications of economic thinking and design to the newly evolving digital economic system. The chapter provides a conceptual review of blockchain tech economics by organizing dispersed thoughts in the field.
Smart Education with Smart Phones: A Case Study of Bahawalpur

Education plays a vital role in the development of every country in this world. Although, it is a fundamental right of every citizen of the country to acquire education and it is also the responsibility of the governments to provide and create such opportunities to obtain an education. But unfortunately, the governments of developing countries are failed to deliver a strong policy on “education for all”, due to their financial constraints and lack of infrastructural planning. In order to address this issue, Smartphones are used to spread education in these areas. In this research paper, we propose a solution based on the application of Information and Communication Technologies (ICT) such as Smartphone which provides an opportunity to spread education sitting at distinct places where it is even difficult to establish a school. Moreover, a comparison is drawn between the traditional and the proposed model.
Autonomy and Free Speech

Abstract This chapter evaluates the relationship between autonomy and freedom of speech, examining a variety of autonomy-based justifications for the importance of speech and especially of freedom of speech. The differences between these justifications relate not only to the different conceptions of autonomy that underpin them, but also to their different responses to the problem of competing autonomy interests. It is plausible to think that the state should respect, protect, and promote the autonomy of everyone—speakers, listeners, thinkers, bystanders, and members of the public at large. Enhancing the autonomy of some might, however, require restricting the speech of others. The liberty-based conceptions of autonomy prioritize the interests of speakers and listeners and hold that the primary obligation of the state is the negative duty not to interfere with the autonomy of individual speakers and listeners. By contrast, the relational conceptions of autonomy hold that the negative liberty interests of individual speakers and hearers should be balanced against the positive duties of the state to promote the social conditions necessary for the development and exercise of autonomy by all citizens.
Generalisation of Huffman delta auto-correlated sequences via Fibonacci series and polynomials

The Fibonacci series, and its Fibonacci polynomial generalisation, forms the backbone of the lesser-known Huffman sequences. Huffman sequences, in turn, are highly valued for the perfect-as-possible discrete delta function that emerges from their aperiodic auto-correlation. As such, Huffman sequences approximate a factorisation of the delta function. This paper formalises and generalises the relationship between Fibonacci polynomial series and Huffman sequences of finite length. We prove that all off-peak auto-correlation values are exactly zero, except for the unavoidable end-points, for all finite arguments of the constituent Fibonacci polynomials. We also derive the discrete Fourier transforms of these generalised Huffman sequences, together with their remarkably uniform power-spectra.
Влияние неформального образования на человеческий капитал: поколенческий подход

Introduction. The purpose of the article is to study the involvement of representatives of various generations in a non-formal education.Materials and Methods. The research draws on the methodology of the in-depth interview interpretation analysis. The data was obtained using the focus group method: a series of 27 group interviews, 9 for each age category (youth, mature and older). The focus groups included 253 people – residents of Tyumen, Tobolsk, Ishim, and settlements in the South of the Tyumen region.Results. The possibilities of non-formal education in the process of accumulation and realization of human capital were revealed. The analysis of the practices of youth, adult and older generation’s non-formal education was carried out. Based on the study of generational theories, the educational attitudes of various age groups and the needs for non-formal learningwere analyzed. Based on the analysis of the intensity of educational practices, three types of actors were identified depending on their involvement in non-formal education: the active type “eternal student”, the moderate type “situational student” and the passive type “indifferent student”, which were found in representatives of different generations. The authors identified the following things that motivate and demotivate people to receive non-formal education: operational updating of competencies, fostering of personal and professional skills for a specific professional position, reducing the qualification gap. Analysing the non-formal educational practices of youth, adults, and the older generation, the authors found that non-formal education significantly affects the dynamics of professionalization, the nature of social and labour transfers.Discussion and Conclusion. The materials of the article are useful for building an educational ecosystem at the regional and national level and for practical application in the development and adjustment of strategies for working with people of dif ferent age groups.
Possibilistic Networks: Computational Analysis of <i>MAP</i> and <i>MPE</i> Inference

Possibilistic graphical models are powerful modeling and reasoning tools for uncertain information based on possibility theory. In this paper, we provide an analysis of computational complexity of MAP and MPE queries for possibilistic networks. MAP queries stand for maximum a posteriori explanation while MPE ones stand for most plausible explanation. We show that the decision problems of answering MAP and MPE queries in both min-based and product-based possibilistic networks is NP-complete. Definitely, such results represent an advantage of possibilistic graphical models over probabilistic ones since MAP queries are NP PP -complete in Bayesian networks. Our proofs for querying min-based possibilistic networks make use of reductions from the 3SAT problem to querying possibilistic networks decision problem. Moreover, the provided reductions may be useful for the implementation of MAP and MPE inference engines based on the satisfiability problem solvers. As for product-based networks, the provided proofs are incremental and make use of reductions from SAT and its weighted variant WMAXSAT.
Interpretable Neural Network Construction: From Neural Network to Interpretable Neural Tree

Abstract The neural network has made outstanding achievements in many fields, while comparing with traditional machine learning models, the neural network has poor interpretability, which brings great limitation to its practical application. Therefore, many researchers try to combine neural networks with traditional models to improve the interpretability of the neural network. Their methods either result in performance depreciation or lead to computation-intensive. In this paper, we propose to transform a neural network into the interpretable neural tree . In the interpretable neural tree, each node contains transformation function and routing function. Each transformation function corresponds to a layer in the neural network, using for controlling data transformation. The routing function is utilized to control the direction of data flow in the tree structure. Our experiments have indicated that the interpretable neural tree makes the neural network interpretable to some extent while maintaining the performance.
Analysis of error probability in aero ordnance maintenance

Abstract Aero ordnance maintenance is a very important part in aviation maintenance, which has such characteristics as elusive, inconvertibility and danger. The specificity of aero ordnance maintenance is analyzed, and the error model fitting well with the actual situation is built. The maintenance error probabilities are calculated by Bayesian network. Besides, the influences of organization management, professional skill and other typical factors are analyzed in this paper. The related results have some reference and guiding meaning to the aero maintenance work.
RETRACTED: How to Improve the Ability of Library and Information in the Era of Big Data

Abstract Document arrangement includes document classification, subject searching, description and Catalog typesetting. The classification of documents can provide the corresponding basis for the arrangement of catalogue and the production of document structure, and it is also convenient for the statistics of library bibliography, the publicity of new books, the consultation of reference materials and the search of relevant documents. The symbol of the theme is the theme range formed according to the corresponding literature content. It can interpret and express the literature according to the key words. The classification system and the mark of the topic are the important means to express the content of the paper. The description of language can comprehensively express the characteristics of literary form and content. It is convenient for readers to find some documents according to the different characteristics of the paper, and then get the paper that people need.
Author Correction: Dissociating task acquisition from expression during learning reveals latent knowledge

An amendment to this paper has been published and can be accessed via a link at the top of the paper.