Reviewerly/exHarmony huggingface dataset:
Entertaining mathematics presented by steam educational approach in teaching preschool and primary school age children

The subject of this article is to clarify the connection between entertainment in Math lessons and educational STEAM technologies, which have the potential to motivate and stimulate the interest of preschool and primary school age in Math and their cognitive logical - mathematical activity. The article discusses the STEAM approach in its essence and teaching Maths using this method. The article also presents some educational technologies in fun Math, which allow children to discover for themselves through the methods of experimentation, exploration and experience, and this acquired independence leads children to an increased interest and motivation to learn.
Preliminaries

This chapter provides a fundamental understanding regarding privacy-preserving technologies, followed by deep learning. We introduce the classical privacy-preserving employing group-based anonymity, cryptographic method, differential privacy and enclaves depending on how to implement privacy-preserving mechanism. We also give a brief concept of deep learning techniques including its outline and basic layers, convolutional neural network, generative adversarial network, support vector machine, recurrent neural network, k-means clustering, and reinforcement learning.
Open Data Repositories in Knowledge Society

Open data is data that can be freely used, re-used, and redistributed by anyone – subject only, at most, to the requirement to attribute and share alike. Open data is an important resource in present knowledge-based society used for supporting decision-making activities in government agencies, research Institutions, higher educational institutions, etc. The research activities as well as policy-making decisions are highly benefited by the availability of open data. There should be no restrictions to its reuse like legal, financial, or technological. The chapter discusses the concept of open data and its importance in present times for supporting advanced research activities in different domains of human knowledge. It also provides a glimpse of open data repositories at global level and attempts to showcase select open data repositories set by different organizations and institutions for making different datasets available in varied areas for facilitating specialized research and development activities.
A Multi-Level Thresholding Image Segmentation Based on an Improved Artificial Bee Colony Algorithm

As a popular evolutionary algorithm, artificial bee colony (ABC) algorithm has been successfully applied into the threshold-based image segmentation problem. Based on our analysis, we find that the Otsu segmentation function is separable which means each variable is independent. Due to its one-dimensional search strategy and relative power global but poorer local search abilities, ABC could find an acceptable but not precise segmentation results. For making more precise search and further enhancing the achievements on image segmentation, we propose an Otsu segmentation method based on a new ABC algorithm with an improved scout bee strategy. Different from the traditional scout bee strategy, we use a local search strategy when a bee stagnates for a defined value. The experimental results on Berkeley segmentation database demonstrate the effectiveness of our algorithm.
Semantic Library as a Tool of Defining a Scientific Subject Area

The paper considers an information system designed to represent the subject area associated with science and its features. Highlighted general concepts for the formal description of such a subject area in the knowledge base of the semantic library. The peculiarity of these areas is that the data structure is subject to frequent changes. Therefore, the tools of organizing knowledge, which is a semantic library, should be sufficiently universal and not require deep technical knowledge. The paper describes the functionality of the system and its use when setting up a subject area. For each area, the set of resources can differ both in format and in the set of the resources themselves. The set of concepts that form the description of the library's content should be so universal that it can be adapted to the needs of a particular area. Three levels of metadata are used to represent the data.
Generalizations

This chapter considers various generalizations of the results surveyed in this volume, as well as some open problems. In particular, generalizations to distances other than the distributional distance are considered, as well as non-stationary processes and processes more general than time series, such as multidimensional processes and processes on infinite random graphs.
Analysis of the effective change in the functions of land use and its impact on city structure, the study area Karrada / Baghdad / Iraq

Abstract The idea of the research came from the control of real estate developers and investors in the private sector on changing the activities of land uses, contrary to the basic design of cities. This change will be in two types, but the activity will be changed completely, such as converting green areas and orchards into commercial areas such as restaurants and markets, or by increasing the intensity of the activity itself within the same use as splitting the residential areas into small or multi-story housing units. The aim of the research is to quantify this situation in the Karrada district of Baghdad, and trying to find a vision to solve this problem by assuming that this change can be directed positively forward by changing the city’s structure functionally, as one of the biggest problems is leaving the issue without question. On the other hand, the weak implementation of the law in general, and therefore the difficulty of controlling the profitability of the investment movement in changing the city’s activities. Since this phenomenon appeared clearly after the structural change of the economy and society in Iraq after 2003, the time period for the study was chosen from 2007 to 2019. Where the year 2007 was considered the beginning of assimilation of changes after 2003 and their urban appearance with their socio-economic impacts, and 2019 is the current time when this change reaches its peak.
Trace Element Composition of Sulfides from Kayad Zn-Pb deposit, Ajmer, Western India: Implications for Ore Mineralization

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v2]Trace Element Composition of Sulfides from Kayad Zn-Pb deposit, Ajmer, Western India: Implications for Ore MineralizationAuthorsEileenaDasiDDipak CPaliDSayantanDeiDSee all authors Eileena DasiDCorresponding Author• Submitting AuthorJadavpur UniversityiDhttps://orcid.org/0000-0002-8556-9778view email addressThe email was not providedcopy email addressDipak C PaliDJadavpur UniversityiDhttps://orcid.org/0000-0002-1478-0891view email addressThe email was not providedcopy email addressSayantan DeiDJadavpur UniversityiDhttps://orcid.org/0000-0002-2247-4747view email addressThe email was not providedcopy email address
Emoji can improve university students’ enthusiasm perception with their counselor：evidence from behavior and eye movements

With the popularity of the Internet, the way of communication between college counselors and college students has changed. Compared with the past face-to-face direct communication, online communication using the Internet has replaced it. In the era of Internet, in order to make up for this lack of non-verbal information, a series of emoticons are produced. In the communication between college counselors and college students, mainly through the QQ platform, which plays an important role in nonverbal cues in the process of communication, and at the same time has an impact on other people's enthusiasm perception. This study explores the use of emoji and the influence of different locations on the perception of enthusiasm, aiming to provide suggestions on how to communicate with college students through the Internet, so as to help build a good relationship. The results show that the use of emoticons has a significant effect on enthusiasm perception. Emoji was significantly affected by which placed before textual information.
Impoliteness online

This study provides an overview of the strategies and techniques of hate speech in online discourse (on online discourse or computer-mediated communication in general cf. e.g., Schwarzhaupt-Scholz 2004; Schmidt 2013; Dittler and Hoyer 2014; Seargeant and Tagg 2014). Based on a collection of online texts belonging to different genres (discussion forums, blogs, social media, tweets, homepages), this study will provide a qualitative analysis of destructively impolite utterances in online interactions. This analysis will make use of the standard typologies of impoliteness and their recent extensions (such as Culpeper 1996, 2005, 2011; Kienpointner 1997, 2008; Kleinke and Bös 2015), but some modifications and elaborations of these typologies will also be taken into account. Moreover, social, cultural and political reasons for the recent dramatic increase in hate speech in online interactions will be explored. Finally, the problem of how to deal with this destructive use of language will be briefly discussed and some possible solutions will be suggested (cf. Banks 2010).
Evolutionary Algorithms for Global Decision Tree Induction

Decision trees represent one of the main predictive techniques in knowledge discovery. This chapter describes evolutionary-induced trees, which are emerging alternatives to the greedy top-down solutions. Most typical tree-based systems search only for locally optimal decisions at each node and do not guarantee the optimal solution. Application of evolutionary algorithms to the problem of decision tree induction allows searching for the structure of the tree, tests in internal nodes, and regression functions in the leaves (for model trees) at the same time. As a result, such globally induced decision trees are able to avoid local optima and usually lead to better prediction than the greedy counterparts.
24 Hour Choir: Towards a Civic Ethics in Improvisation

24 Hour Choir was a participatory sound project in which over one hundred members of the public sustained the human voice, uninterrupted, across an entire day. The location was the politically fraught area of The Rocks in Sydney, Australia, from which long-standing social housing tenants had recently been evicted. 24 Hour Choir responded to this situation by establishing a sonic means to build solidarity. Singers followed several open-ended instructions that required them to develop individual cooperative strategies inducing a form of civic duty. The results, sonically influenced by the shifting ambience of the city, became a real-time mapping of social relations. 24 Hour Choir is part of the project Super Critical Mass which brings together temporary communities to undertake shared sonic actions in public spaces. Each event is a structured improvisation in which participants’ skills become the parameters for a memorised, behavioural algorithm, extending precedents by Cornelius Cardew and Pauline Oliveros.
Three-Dimensional Virtual Environment and NPC

The use of intelligent agents aware of the individual characteristics and context of students, allow to offer a suitable support to the real requirements. Allied to this, the implementation of these agents in the three-dimensional virtual environments, tend to transcend the existing potential in the interactions with the learning objects it contains and also to expand the alternatives of building the students' knowledge. Throughout this chapter it will be presented the development of intelligent agent called ELAI, by using the NPC strategy on the virtual world platform OpenSimulator. The ELAI provides support for teaching Computer Networking (CN), being sensitive to the context of learners to their level of expertise. In order to maximize the flexibility of interactions between the student, through the student's avatar and the NPC, an interconnection with a chatterbot was established, whose knowledge base was increased by files in AIML inherent to the topic of CN.
Applied Areas of Three Dimensional Virtual Worlds in Learning and Teaching

Three Dimensional Virtual Worlds (3DVW) have been substantially adopted in educational and pedagogical fields worldwide. The current study conducted a systematic literature review of the published research relevant to the application of 3DVWs in higher education. A literature search was performed in eight high-ranking databases, and following scrutiny according to inclusion criteria, 164 papers were selected for review. The systematic literature review process was summarized, reviews undertaken by the authors, and results about the applicability of 3DVWs in higher education were extracted. A wide variety of application areas for the 3DVWs in higher education were found, and were classified into five main categories. Various 3DVW platforms and virtual environments used for educational goals were also identified. The results revealed Second Life as the most popular 3DVW platform in higher education. This study also found that by using 3DVW technology a wide range of virtual environments and virtual tools have been designed and applied in teaching and learning for higher education.
Analysis of approaches for identification the ontological model components of the searching system

The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes information about subject areas, areas of definitions, etc. There are obtained the sequence of defining the conceptual representation of an intelligent search system based on ontological components. There are presented the composition of the ontological system model. There are described the main functional components of the system for intelligent processing of information about electronic documents.The proposed approaches for identifying the component components of the ontological model of the search system have a lot of features. This is due to the fact that the search system model must have a set of properties: integrity, coherence, organization, integrability, mobility. Ontologies which representing the basic concepts of the domain in a format available for automated processing in the form of a hierarchy of classes and relationships between them allow automated processing. The using of ontologies in the role of an intermediary between the user and the search process, between the search process and the search system that can facilitate the solution of a number of complex and non-standard tasks of information retrieval (for example, the automation of the search process). It is possible to solve the problem of knowledge representation for displaying information relevant to user requests, as well as to solve the problems of filtering and classifying information. Compared to similar well-known search systems, this provides such advantages as creating a common terminology for software agents and users, protecting the information store from total overflow and errors, as well as solving the issue of information aging.
Design of Vehicle Engineering Teaching System Based on VR Technology

In order to effectively combine the theoretical knowledge and practical ability of students majored in vehicle engineering, this research designed the vehicle engineering teaching course VR system by combining VR technology with the domestic and foreign vehicle engineering teaching content and outline requirements. At the same time, the study completed the design of the vehicle engineering teaching system based on VR technology by recording the student’s learning process, and combining the students’ feedback on the VR teaching system to upgrade and optimize. The results show that in the specific use level of VR teaching system, it can effectively enhance students’ interest in learning, enhance students’ attention and curiosity in learning, help students divide the key points of knowledge, improve students’ learning plan and motivation. And the use of VR teaching system can accelerate students’ understanding of knowledge learning and enrich the teaching content. Finally, students are full of expectations for the application of VR teaching, and can obtain learning happiness in VR teaching. It is hoped that the results of this research can provide useful thinking and practical reference for the design of VR teaching system in the future.
Deep Feedforward Sequential Memory Networks Based Mispronunciation Detection for Tibetan Students' Mandarin

Computer assisted pronunciation training system (CAPT) can detect the wrong pronunciation produced by non-native speakers and provide positive feedback. CAPT is helpful to improve the pronunciation level for L2 learners’ accurately. Tibetan students’ Mandarin is influenced by their native language pronunciation habits. So, this feature leads to their pronunciation being obviously different from that of standard mandarin. This paper used CNN model as a fundamental, and we introduced acoustic model: DFSMN and CTC. This acoustic model implemented a method of speech recognition on Tibetan students’ mandarin mispronunciation detection. In order to continue improving the detection performance, we used extended initial final (XIF) as bias primitives and design 64 bias types. Experiment results show that the proposed method in this paper can effectively detect mispronunciation and provide correct feedback, with the DA of 88.02%, FRR of 7.95% and FAR of 25.74%.
On Phonosophy

With phonosophy, we are investigating a platform to disembark from the vehicle of the long-travelled logos. The once organic and flowing aspects of Logos (Heraclitus) have all but succumbed to the current scientific, materialistic, mechanistic, quantitative and spatially centric epistemology of the last century – one or all of which perspectives define most of the serious theoretical and critical approaches to organised sound, sound art, music concrète, acousmatic and electroacoustic music in our time. Phonosophy will address that which goes beyond or parallel to the logos, or the logocentric. Adrienne Janus’s discussion of Jean-Luc Nancy’s Listening and the sonic turn looks for conditions of an epistemology based on ‘listening as a mode of attending’ to the resonances of sense, ‘where sense touches upon and resonates with all registers of sensual perception as well as intellectual perception … insofar as they resonate’. Suzanne Guerlac points to Bergson’s theory of real duration ( durée réelle ) that is the vital energy of animate experience and consciousness as opposed to the entropic energy (thermodynamic) of physics. Together these two overlapping discussions consist of the method (listening/sensing) and field (resonance/duration) of the phonosophic investigation.
An Australian Longitudinal Study Into Remnant Data Recovered From Second-Hand Memory Cards

Consumers demand fast, high capacity, upgradeable memory cards for portable electronic devices, with secure digital (SD) and microSD the most popular. Despite this demand, secure erasure of data is still not a composite part of disposure practices. To investigate the extent of this problem, second-hand memory cards were procured from the Australian eBay site between 2011 and 2015. Digital forensic tools were used to acquire and analyze each memory card to determine the type and quantity of remnant data. This paper presents the results of the 2014 and 2015 studies and compares these findings to the 2011–2013 research studies. The longitudinal comparison indicates resold memory cards are disposed insecurely, with personal, confidential and business data undeleted or easily recoverable. The impact of such discoveries, where information is placed in the public domain, has the potential to cause embarrassment and financial loss to individuals, business, and government organizations.
Blockchains for Value Creation and Supply Chain Optimization

Managing today's highly dispersed and intertwined supply chain in order to maximize the overall organizational benefit by leveraging partner competencies is a herculean task and one that is of ever-growing importance in a highly competitive and truly globalized market. Information technology in the form of point-of-sale data, materials requirement planning software, and enterprise-wide systems have often been leveraged to assist with this. However, with the proliferation of data, storing, managing, and analyzing data on a large scale is a challenge. Blockchains provide numerous benefits such as data transparency, immutability, and traceability that are so critical in building a cohesive cyberinfrastructure that facilitates cooperation and collaboration among supply chain partners. This chapter examines the characteristics of blockchain that make it suitable for supply chains and explore how the benefits afforded by blockchain can be leveraged to enhance value creation while optimizing the supply chain.
Introduction

Binary code fingerprinting is essential to many security use cases and applications; examples include reverse engineering, digital forensicsDigital forensics , malware detection and analysis Malware detection , threat and vulnerability analysis Vulnerability analysis , patch analysis, and software infringement Software infringement . More specifically, in the context of security, such a capability is highly required in order to analyze large amount of malware and applications in order to uncover their malicious behaviors, characterize their network footprints, and consequently derive timely, relevant, and actionable cyber intelligence that could be used for detection, prevention, mitigation, and attribution purposes. Indeed, everyday, a deluge of cyberattacks is launched against the cyber infrastructure of corporations, governmental agencies, and individuals, with unprecedented sophistication, speed, intensity, volume, inflicted damage, and audacity. Besides, the threat landscape is shifting towards more stealthy, mercurial, and targeted advanced persistent threats and attacks against industrial control systems, Internet of things (IoT) devices, social networks, software defined network (SDN) and cloud infrastructure, mobile devices and related core networks, which exacerbates even more the security challenges. These attacks emanate from a wide spectrum of perpetrators such as criminals, cyber-terrorists, and foreign intelligence/military services. The damage can be even more significant when the target involves critical infrastructure components. In this context, there is an acute desideratum towards binary code fingerprinting techniques and technologies in order to subject the aforementioned threats to an in-depth analysis and correlation to derive timely and relevant cyber threat intelligence that can enable detection, prevention, mitigation, and attribution of related cyberattacks.