Reviewerly/exHarmony huggingface dataset:
Use of Existing Ontology Elements in Ontology Construction: Presenting and Testing a Systematic Merge-based Method

Use of Existing Ontology Elements in Ontology Construction: Presenting and Testing a Systematic Merge-based Method
Blockchain in Education Sector – Boon or Curse

Analysts and professionals keep on drawing fluctuated interests in blockchain (BC) technology. The idea has- some key highlights, for example, decentralization, dependability, security, and information veracity. In any case, even with the developing interest, much more has to be done concerning the current state of knowledge and practice in relation to the use of BC technology in education. Accordingly, this study presents a review of the current investigations on BC-based learning applications in the education sector. This paper has focused on three major themes: learning applications that have been made using BC technology, the contribution and merits of blockchain technology to the education sector, and the problems experienced while integrating BC technology in the education sector. A concentrated conversation is introduced as well as a complete outcome examination of each topic. This paper also highlights the key areas of the education sector which tend to benefit from the application of Blockchain technology.
A Conceptual Framework on the Associations among Knowledge Sharing Antecedents and Innovation Performance

This research aimed to study in-depth the concept of knowledge sharing process as part of knowledge management, and its role on innovative performance through conducting a comprehensive review of theories, literature, and empirical studies. Furthermore, the researchers reviewed the prevailing literature of knowledge sharing and its relationship with innovation.
Policy Question: When Is Surveillance Justified?

Surveillance is regarded negatively in the European Union. It is, of course, highly enabled by the Internet, especially by smartphones. Under modernity, and digital modernity in particular, however, surveillance does have its uses: it can facilitate coordination of complex social functions; it is a means to the personalization, recommendation, and negotiation of choice; it can also be used for care and welfare systems, or control of desirable outcomes, such as the reduction of carbon emissions. The 2020 COVID-19 pandemic is an area where surveillance has played a role, by gathering data, enforcing lockdowns, and particularly enabling the tracking and tracing of contacts by smartphone apps, to suppress the spread of the virus by asymptomatic carriers. The patchy implementation of this function is reviewed, together with some of the technical issues that made it harder than anticipated.
The Impact of Digital Platforms and Social Media on the Freedom of Expression and Pluralism in Serbia

2 Art. 19 states that:Everyone has the right to freedom of expression.This right includes freedom to seek, receive and impart information and ideas of all kinds, regardless of frontiers, whether oral, written or printed, in the form of art or other media, or any other means of choice.The use of (these) freedoms (…) entails special duties and responsibilities.It may, therefore, be subject to certain restrictions which must nevertheless be expressly provided for by law and which are necessary for: a) respect for the rights and reputation of other persons; b) protection of national security or public order, or public health or morals.Apart from the fact that freedom of expression is a right in itself, it is an indivisible element of other rights, such as political rights, rights of education, intellectual property rights, etc., or the means of their exercise.From that point of view, the passive holding of the state is not enough to render this right effective.It is equally important to provide complete protection for this right and enable information exchange. Freedom of expression and digital platforms -Introductory remarksSocial media, including social networks and the Internet in general, are a convenient arena for this exchange.In terms of law, it is the realization of two mentioned rights: to express thoughts and to be informed. 3Keeping the nature of the Internet in mind, it is not incorrect to say that social networks comprise a virtual arena of freedoms, intensified by the fact that the laws, rules, and regulations that often govern us in real life are unclear, inapplicable, or absent.Even though social networks have emerged as technical platforms and digital spaces for their users, they have become much more than that, and in so doing, are much closer to the term 'media.'Their improved function has been recognized through attempts to self-edit content.This corresponds with users' active role.In addition to providing only an information structure for information exchange, their visibility and distribution, alongside numerous abuses, have led to the question of how to edit.The need to edit something leads social networks into the world of media.Content on social networks, which is created by the users themselves, has become public space and exerts an influence on public opinion.However, unlike the media, content on social networks is created by users, that is, ordinary citizens, with no real sensibility for the seriousness of and consequences
Enhanced Optimal Quantum Communication by Generalized Phase Shift Keying  Coherent Signal

It is well known that the maximal success probability of the binary quantum communication can be improved by using a sub-Poissonian non-standard coherent state as an information carrier. In the present article, we consider the quantum communication with $N$-ary phase shift keying ($N$-PSK) signal for an arbitrary positive integer $N>1$. By using non-standard coherent state, we analytically provide the maximal success probability of the quantum communication with $N$-PSK. Unlike the binary case, we show that even super-Poissonianity of non-standard coherent state can improve the maximal success probability of $N$-PSK quantum communication.
WORKSHOP AUDIO RECORDING SYSTEM PADA SEKAWAN TRAINING CENTER

Data, Voice / Voice and Video are basic needs for information for people in the digital era. This is based on the trend of triple play technology, which is a technology trend that accommodates three services that are presented in a customer service. The development of meeting the basic needs of the digital community cannot be separated from the development of the infrastructure that can be passed. This should be the basis for understanding the digital community that, in meeting the basic need for information, there is always a new technique being born. And the birth of this new technology can change a paradigm and even be disruptive.&#x0D; Voice as a need for digital society cannot be separated from the use of communication technology. Communication that is shared by users who interact with each other, that is, interact and communicate with each other.&#x0D; Sekawan Trining Center is an institution that is very interested in the use of techniques in supporting organizational operations wherever they are located. Although the technique is developing rapidly, this is also accompanied by an increase in the costs that must be incurred in its implementation. For this reason, the utilization of existing techniques can be maximized to reduce costs that may arise.&#x0D; There are also technology platforms that use analog communication media to enable systems that can be used to connect with technologies that can be used to access digital data. The solution that can be applied to overcome this is an Audio Recording System.
The Road to Selection Semantics

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Document-level Core Events Extraction based on QA

Abstract Document-level core events extraction model based on QA is provided in this paper. Question with prior information is constructed input into the BTBiLSTM model. Firstly, extract events from documents. Secondly finds event arguments from the text to be extracted. Lastly fuse events to select core events. The experimental results on ACE2005 Chinese corpus show that the event argument role question with prior information has a good effect on event argument extraction. Compared with existing method, our method in this paper realizes cross sentences events arguments extraction, it also applicable to documents without headline.
Smart Phone Evapotranspiration-Based App for Optimal Irrigation Scheduling for Thai Crops

Thailand is known as a top producer of many essential agricultural commodities including canary seeds, cassava, mango, mangosteen, guava, and chili pepper.Due to global warming and population growth, droughts are increasing and water is becoming scarce, which have a direct impact on agriculture.Farmers are therefore facing difficulties in supplying their crops with sufficient water due to water scarcity and the increasing irrigation cost.This situation calls for optimal use of irrigation water in agriculture, which is sufficient to avoid crop water stress and at the same time help to sustain water and reduce irrigation expenses.Methodolgy/approach: With the number of smartphone users in the world exceeding 3.5 billion, this app uses geospatial data and the Water Balance Approach to estimate the optimal irrigation cycle in the current month in Thailand using Java.Result: This app would result in significant water savings and a less costly irrigation process for both large farms and private gardens in subsistence agriculture. Conclusion:The proposed smartphone app captures the unique characteristics of the weather and soil conditions of any location in Thailand to determine the optimal average daily amount of water required to prevent crop water stress in the current month.
Discovering Sequential Source Code Patterns in Software Engineering

Discovering sequential patterns in source codes is an important issue in software engineering since it can provide useful knowledge to help in a variety of tasks such as code completion, code refactoring, developer profiling, and code complexity measurement. This paper proposes a new framework, called Source Code Miner (SCodeMiner), which discovers frequent sequential rules within a software project. The proposed framework firstly transforms a Java code into a sequence data and then applies a sequential pattern mining (SPM) algorithm. This study is also original in that it compares four SPM algorithms in terms of computational time, including sequential pattern discovery using equivalence classes (SPADE), prefix-projected sequential pattern mining (PrefixSpan), bi-directional extension (BIDE+), and last position induction (LAPIN). The experiments that carried out on an open-source software project showed that the proposed SCodeMiner framework is an effective mining tool in identifying coding patterns.
Reflection of the taxonomy of relationships between pedagogical theory and practice in the professional training of future teachers

On the basis of the conducted histri-semantic and morphological analysis of the scientific concepts of modern pedagogy «method», «methodology», «methodology», «technique» and «technology» their correlation is considered in the article, which allows to expand the ideas about the relationship of pedagogical theory and pedagogical practice. The author proposes the idea of a taxonomic approach to establishing the structure and unity of the pedagogical theory and practice of organizing the educational process. The taxonomic units which pairwise establish the interrelation of pedagogical theory and practical pedagogical activity at different levels of hierarchical co-subordination are revealed. These include: methodology — technology; method — technique; method — method of creative self-realization of a teacher in professional activity. It is shown how the theoretical scientific preparedness of an educator is reflected in the teacher's mastery at different stages of its development. The possibilities of taking into account the hierarchical structure of interrelationships of pedagogical theory and pedagogical practice in perfecting the content and structure of general pedagogical training of a future teacher, expressed in the State educational standards of higher professional education in pedagogical specialties are revealed. The taxonomic model of the curriculum of teacher training, taking into account its hierarchical structure and level interrelationships of theoretical and practical professional training of a future teacher is proposed. The scientific conclusions of the article contributes to finding the keys to solving some of the methodological issues of modern pedagogy associated with the problems of development of the scientific apparatus of modern pedagogy, as well as contributing to the solution of problems associated with the practical organization of teacher training. The scientific article is addressed to scientific and practical workers of education, students of specialized secondary and higher educational institutions, all those interested in the modern problems of pedagogical science and educational practice.
Neural Network-Based Resource Allocation Model in Multilayered Cloud

High-performance computing is changing computing. With emerging technologies like grid computing, cloud computing applications have changed the way we compute and communicate. Cloud computing has made computing huge amounts of data on the fly possible and uses flexible resources according to the requirement for real-time applications. Cloud computing comes with a pay per use model so that users pay for only those resources that they have used. Inside cloud there lie many issues related to efficient and cost-effective models to improve cloud performance and complete the client task with the least cost and high performance. Cloud is meant to deal with the most computationally intensive services; they require real-time computing which can only be achieved if the computational resources can compute it in the least time. Cloud can accomplish this using an efficient scheduling algorithm. This chapter focuses on task scheduling policy which aims to improve the performance in real-time with the least execution time, network cost and cost-effective performance parameters. The proposed model is inspired by the Big Bang–Big Crunch algorithm in astronomy. The proposed algorithm aims to improve the performance by reducing the scheduling delays and network delays with the least resource cost to complete the task at the least cost to the user with high quality of service.
CASE STUDY: “BEING EXPERT EASILY AND QUICKLY” APPLICATION OF UP-TO-DATE INFORMATION TECHNOLOGY INTO THE STANDARD CREATION PROCESS

The subject of this case study is an innovative methodology for working with information allowing to quickly gain a high level of expertise in any area of human activities. The methodology is presented as an example of creating a new hempcrete standard and it is easily transferable to other areas (for example the medicinal research area).
Synthesis

This chapter opens with a discussion of the limitations of current models of reading, and moves on to the reasons why more comprehensive models of reading are necessary to advance our understanding of the mental, perceptual, and motoric processes that support reading. The chapter then provides a comparative analysis of the various approaches that have been adopted to model reading, and how the theoretical assumptions of models of word identification, sentence processing, discourse representation, and eye-movement control might be combined to build a more comprehensive model of reading in its entirety. The remainder of the chapter then describes one such model, Über-Reader, and a series of simulations to illustrate how the model explains word identification, sentence processing, the encoding and recall of discourse meaning, and the patterns of eye movements that are observed during reading. The final sections of the chapter then address both the limitations and possible future applications of the model.
Building readiness to implement cross-curricular links in learning as a component of professional training

The article raises the problem of improving professional training of future teachers in relation to their readiness to implement interdisciplinary links in teaching. The modern tendencies of education content integration require rethinking the pedagogical approaches accumulated in the historical experience of domestic education to implement interdisciplinary links in order to build an effective didactic system. The theoretical foundations of interdisciplinarity are discussed, and the main functions of interdisciplinary links and their types are described. The main difficulties in the practical implementation of the principle of interdisciplinary links in education, caused, on the one hand, by the persisting inconsistency in this regard of the content of subjects united into educational fields, are stated. On the other hand, the unresolved problem of effective implementation of interdisciplinary links is correlated with the unresponsive educational demands of higher education teacher training programmes. The results of the analysis of professional competencies included in their content are presented, and recommendations for additional indicators of future teachers' readiness to implement interdisciplinary links in school teaching are put forward. The problem under consideration is sharpened in connection with higher education in the framework of a two-profile bachelor degree, which requires both the coordination of logic in the construction of the educational process through mastering the disciplines of psycho-pedagogical, subject and methodological modules, and taking into account the specifics of school educational areas and the subjects that comprise them.
A comparative study of the integer wavelet transform applied to seismic data lossless compression

The use of massive amounts of seismic data is becoming more frequent and required in seismic processing and analysis.In this context, data compression becomes an essential strategy to minimize the resources to store and transmit these datasets.
Robust real-time aircraft detection with multi-task cascaded calibration networks

Aircraft detection is notoriously challenging owing to the orientation and size variations of aircraft objects. Existing detection pipelines compromise with efficiency or accuracy to deal with the large visual variations. We present a novel cascaded framework that joins object detection and orientation prediction through multi-task learning. The cascaded framework consists of three stages and operates in a coarse-to-fine manner. Each stage simultaneously rejects false targets, regresses the locations of object candidates, and calibrates the orientations of the candidates to upright gradually. After each stage, the range of orientation angles continuously decreases, which contributes to accurately distinguishing aircraft from non-aircraft. In addition, we design a generative-adversarial architecture in the cascaded framework. Specifically, its generator learns to cheat the discriminator by producing the feature representation that is invariant to the change of aircraft size. Meanwhile, the discriminator competes with the generator and aims to accurately discriminate the feature representations of small objects from the representations of large ones. Through competition between the generator and the discriminator, the feature distributions over small and large objects are made similar, thus resulting in more accurate detection. Experimental results demonstrate our method achieves significant improvements over existing algorithms on the challenging detection dataset, while still keeps real-time performance.
Supplementary material to &amp;quot;Performance of the Adriatic early warning system during the multi-meteotsunami event of 11–19 May 2020: an assessment using energy banners&amp;quot;

Figure S1: Distribution of the derivative in time of the meteotsunamigenic disturbance amplitude used as a criteria to trigger the event mode of the Croatian Meteotsunami Early Warning System (CMeEWS).
The Making of Artists’ Books

AbstractTaking into account current debates, Patrizia Meinert reflects on the role of craftwork as part of the production process in book art. Most artists’ books are still produced to some degree by hand. As varied as the genre is, so too are the ways in which artists deal with the fact that a book is ‘made’. Whereas in some cases craft-based aspects may remain entirely hidden in favour of a conceptual focus, in others it might predominate. The latter, in turn, reinforces the idea of the artist’s book as an analogue counterpart to digitalisation. In production, however, analogue and digital go hand in hand and, according to Richard Sennett, digital work may itself be regarded as craftwork under certain circumstances. Based on a very personal artistic approach, this chapter outlines both the challenges of craftwork faced by contemporary book artists in their practice and the questions of artistic positioning in its interplay with the reception of craftsmanship.
Organization of extracurricular work in mathematics

The article explains the technology for organizing extracurricular activities with students in mathematics and the methodology for their implementation, the general characteristics and benefits of different types of extracurricular activities in developing skills in students. The purpose of modern education, in accordance with the state educational standard, is to educate a competent graduate, i.e. in creating the conditions for the optimal development of abilities for further self-education and improvement. Achieving this goal is possible when mastering special techniques of educational activity, the basis of which is cognitive activity. In this regard, we need such an organization of training in which children are actively involved in work. Much depends on the teacher: how he organizes the work, and what forms, including non-class work, he offers to children.
Wiki sense bag creation using multilingual word sense disambiguation

Performance of word sense disambiguation (WSD) is one of the challenging tasks in the area of natural language processing (NLP). Generation of sense annotated corpus for multilingual word sense disambiguation is out of reach for most languages even if resources are available. In this paper we propose an unsupervised method using word and sense embedding or improving the performance of these systems using untagged. Corpora and create two bags namely ontological bag and wiki sense bag to generate the senses with highest similarity. Wiki sense bag provides external knowledge to the system required to boost the disambiguation accuracy. We explore Word2Vec model to generate the sense bag and observe significant performance gain for our dataset.
An Enhanced Intelligent Teaching Support System for College Courses

This paper proposes an enhanced intelligent teaching support system (e-ITSS) to support efficient courseware preparing and personalized learning. The proposed e-ITSS consists of three main modules of teaching material service (TMS), dynamic symbols pad service (dSPS), and assignment management service (AMS). A courseware generation tool is integrated into the TMS module, which can generate rough coursewares from inputs such as textbooks. The dSPS module, built on an intelligent data mining algorithm, provides dynamic solution-related symbols that are structured with a hierarchical layout to benefit symbol input. Moreover, an auto-grading tool is provided for automatic solution correction in the AMS module, which empowers the system's capacity of instant feedback of subjective problems to students, with hints and suggestions. In addition, conventional modules, such as knowledge diagnosis, exercise recommendations, are also available in the proposed system.