Reviewerly/exHarmony huggingface dataset:
ORGANIZATION OF THE HIGHER EDUCATION PROCESS BASED ON A COMPREHENSIVE APPROACH

The article is devoted to the problem of using a systematic approach to the organization of the pedagogical process. It is based on the fact that one of the main approaches in the modern methodology of pedagogy is a systematic approach, the characteristics of modern methodological knowledge and the uniqueness of the current stage of development of the science of pedagogy, the role of pedagogy in the stages of the development of society, and the changes in defining the goals of pedagogy are based on the change of methodology, the individual Searching for new approaches and methods of formation, development and improvement tools, training a modern specialist with attention to the processes of formation, development and improvement of the educational content, the system-forming element of the pedagogical system, the goals of the pedagogical process, the behavior of all its components, using the systematic approach as a methodological tool and considering the phenomenology of modern pedagogy, implementing the principle of consistency, the issues of the development of the modern pedagogical process were interpreted.
ORGANIZATION OF CONTROL AND EVALUATION OF THE FORMATION OF COMPETENCIES IN THE PROCESS OF TEACHING PROGRAMMING

This article presents suggestions and recommendations for teaching students programming languages and forming their programming competence based on the competency approach.
A Qualitative Study on the Experience of Restructuring Play-centered Curriculum Based on 「2019 Revised Nuri Curriculum」of Early Childhood Special Education Teachers at Kindergarten Special Classes

The purpose of this study is to find out the experience of restructuring a play-centered curriculum based on the「2019 Revised Nuri Curriculum」through in-depth interviews. To this purpose, in-depth interviews were conducted using semi-structured questionnaires with 4 early childhood special teachers with more than 5 years of experience working in special classes in public kindergartens. As a result of data analysis, 4 upper categories, 16 lower categories, and 49 concepts were derived. The results of this study are summarized as follows. First, early childhood special education teachers recognized themselves as curriculum designers and made efforts in various ways to restructure the play-centered curriculum. Second, early childhood special education teachers restructured the play-centered curriculum through their own practical knowledge and experience, and through this, they had various experiences. Third, the early childhood special education teachers were creating a dynamic but stable curriculum with their children. Fourth, early childhood special teachers demanded various support measures for the reorganization of the curriculum. This study is meaningful in improving the quality of special education for young children with disabilities by examining the process of restructuring the play-centered curriculum by teachers in the「2019 Revised Nuri Curriculum」, which emphasizes teacher autonomy and expertise, and strengthening teachers’ competence.
Use of Automation in Correlation of Metadata Activity in Digital Forensic Investigations

Abstract: Extracting relevant information from large volumes of digital evidence is a significant challenge for digital forensic investigators. Manual analysis is time-consuming and error-prone, and the sheer volume of data can make it difficult to identify correlations and key events. To address this challenge, this research project has developed a new framework that extracts metadata activity timelines and identifies correlations between them. By using this framework, investigators can generate automated correlation data for use in timeline or graph-based visualization. This framework is designed to extract relevant activity or event-based data, design a framework that allows the creation of custom activity or event-based, custodian-specific correlation data, and test the theoretical framework by creating proof-of-concept python implementation code. The resulting insights are novel, enabling investigators to identify crucial correlations and information about document content, order of document revisions, and other relevant metadata activities.
A Research on YouTube Spam Comments Detection and Deletion

Abstract: YouTube is a popular social networking platform that allows users to upload, watch and comment on videos. However, YouTube also attracts spammers who post unwanted or abusive comments on videos, which can affect the quality and credibility of the content and platform. In this paper, we propose a novel approach to detect and delete YouTube spam comments using natural language processing (NLP) algorithms such as Rapid Fuzz and Levenshtein distance. Rapid Fuzz is a Python library that provides fast and accurate fuzzy string matching, while Levenshtein distance is a metric that measures the minimum number of edits required to transform one string into another. We use these algorithms to compare the similarity of comments and identify duplicates, which are a common form of spam. We also use the YouTube API to access and delete a channel’s spam comments. We evaluate our approach on comments of YouTube Video and show that it can effectively detect and delete spam comments with high accuracy and efficiency
Soft-margin Ellipsoid generative adversarial networks

Generative adversarial networks (GANs) are of great significance for synthetizing realistic images. However, GANs are potentially unstable during the training process, posing some challenges for their development. By defining an integral probability metric (IPM) on the hypersphere, Sphere GAN enforces the discriminator to satisfy Lipschitz continuity and stabilizes the training process. Developed from Sphere GAN, a soft-margin Ellipsoid GAN is proposed for improving the quality of generated samples and the stability of training process. In the presented method, the geometric moment difference defined on the hypersphere is generalized to the hyperellipsoid. The hyperellipsoid is realized to relax the upper bound of the IPM by extending measurable functions space, thus the quality of generated samples can be improved. Furthermore, a nonlinear separating hyperellipsoid is designed to prevent the discriminator from gradient vanishing and exploding on the classification boundary. The proposed soft-margin Ellipsoid GAN is proved theoretically to have a global optimal solution, i.e., the probability density of generated samples approaches to that of real samples infinitely when both the discriminator and the generator are optimal. The CIFAR10 and LSUN-bedrooms datasets are selected to evaluate the performance of the proposed methods. The quantitative results show that the proposed approach decreases the Fréchet inception distance (FID) on the two datasets by 8.2% and 16.0%, respectively. The qualitative results show that the proposed soft-margin mechanism improves the stability of the training process.
STRUCTURE OF THE EARTH’S CRUST AND LITHOSPHERIC MANTLE IN THE CENTRAL PART OF THE LOWER AMUR MINERAGENIC ZONE AND PATTERNS IN HARD ROCK GOLD DISTRIBUTION WITHIN THE ZONE

In this study, we consider the features of the deep structure of the Earth’s crust and the lithospheric mantle in the central part of the Lower Amur mineragenic zone and in the area that flanks on the zone from the west, including the Albazinsky gold ore cluster. Zones with a sharp change in density and magnetic properties associated with Late Cretaceous-Early Paleogene magmatism were established based on the calculated density and magnetic depth models of the territory. A ring structure ~200 km across was identified, which is characterized by the low-density lithospheric mantle and density and magnetic inhomogeneities in the Earth’s crust associated with a wide development of intrusive bodies within it, as well as their attitude and composition. The spatial relation of gold ore districts, clusters and deposits to density and magnetic inhomogeneities in the crust and lithospheric mantle is analyzed and the main patterns in their occurrence are shown. As a rule, they are confined to the low-density zones in the crust and marginal areas of deep (12–20 km) magnetic intrusions. Based on the findings, new promising areas to prospect for gold deposits are proposed. In particular, it was concluded that the potential to host gold mineralization was underestimated for the western part of the ring structure south of the Albazino deposit.
Social media chat bots

Chat Bots as a piece of new information, interaction, and transactional channel allow companies to contact their target group via messaging applications such as "Facebook, WhatsApp, and We Chat".Bots are becoming more popular.Chat bots, as compared to natural chats, are not controlled by actual people, but instead by software that takes users through a series of conversations.The latest breakthroughs in chatbots in sales and marketing are quite astonishing.However, only a small lot of research has been released on chatbots in the subject of public transportation thus far.Travelers may use chatbots to find out about schedules, purchase tickets, and have a personalized, online travel adviser who can provide real-time and contextual information about their journey.Chatbots in public transit systems are able to gather and give a variety of information on customers and their journeys.They comprise information on travel, market, company, and content choices, use trends, as well as demographics and location-based information on individuals.Using chatbots has several benefits for both businesses and mobile consumers.Aside from increasing customer touch points, enhancing convenience, cutting servicing, sales, and administrative costs, new gathering information, and deep learning, these also enable new data collection and transfer learning.Chatbots allow cell phone users to contact with a company at any place and any time by engaging with them on their phones.Individuals who have been asked about a prototypes have demonstrated that they are particularly responsive to new cellular providers and that they would be quick to adapt to new technological developments.
Transformer state assessment and implementation based on online monitoring

Transformer is the key equipment of power grid, it&apos;s operation status has an important impact on the stability and reliability of the power system. The online monitoring data of the transformer can truly reflect its status information, and it is of great significance to evaluate its status in combination with the online monitoring data. At present, in the traditional transformer state assessment, there are some shortcomings such as uncertainty of the assessment system, singleness of index data, simple method for determining the weight of assessment indicators, the accuracy of assessment results, and insufficient timeliness. In view of the above situation, a real-time evaluation method of transformer based on online monitoring data is proposed. Firstly, a hierarchical evaluation system model based on quantitative index data such as online monitoring data and preventive experiments data and qualitative index data such as operating years and annual load rate is constructed; Secondly, a combined weighting method based on Modified Analytic Hierarchy Process(MAHP) and Critic method is proposed, which effectively overcomes the drawbacks caused by a single weight; then, a method to deal with various fault weights based on variable weight theory is proposed; Finally, the overall state of the transformer is obtained by combining the weights of each layer and the results of the normalization of the indicators. Through the verification of data examples, it can accurately, timely, and scientifically reflect the operating status of the transformer, and can provide scientific maintenance guidance for inspection personnel, which has practical application value. Under the background of digital and intelligent transformation of offshore oil and gas platforms, based on the QT development platform, MySQL database, and C++ language, an online transformer evaluation system is designed and developed, including online monitoring, state evaluation, and other major modules. At the same time, it provides users with visual analysis and helps the intelligent construction of offshore oil and gas platforms.
Onpersoonlijke datief-nominatiefwerkwoorden in het hedendaagse Duits: definitie, inventaris en semantische classificatie

Several studies have drawn attention to the fact that subjecthood is not necessarily associated with nominative case-marking (Andrews 1976, Þráinsson 1979, Zaenen, Maling &amp; Þráinsson 1985, Sigurðsson 1989, inter alia).1 This article seeks to contribute to the study of non-canonically case marked subjects by zooming in on nominative-dative verbs in Present-Day with a subject-like oblique argument (henceforth: impersonal dative-nominative verbs). The aim of this article is twofold. First, I present an exhaustive list of all German impersonal dative-nominative verbs, and secondly, I aim to classify them according to the semantic typology suggested by Barðdal et al. (2016). The results show that impersonal dative-nominative verbs are far more numerous than hitherto assumed, and that their semantic distribution gravitates towards meanings pertaining to emotions, cognitive processes, and contexts of gain and benefit.
Algorithmic Information Dynamics (AID)

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Pattern Recognition in Complex Systems: Machine Learning

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Recursion

The syntax of choreographies is enhanced with the possibility of writing and invoking recursive procedures, yielding the language of Recursive Choreographies. This opens the door to modelling protocols that allow for retries and data streams of unbounded length. The language of process implementations and the notion of EPP are updated accordingly.
7 Multiword Expressions in Persian

Multiword expressions (MWEs) have garnered much attention in the fields of computational linguistics and natural language processing, which is reflected in the vast number of papers, conferences, and shared tasks dedicated to their research. MWEs are often referred to as being pain in the neck for NLP, due to their challenging nature and the difficulty they pose for various natural language processing tasks. This chapter focuses on the linguistic phenomenon that MWEs are; it provides an overview of their properties and typologies, with a primary focus on Persian MWEs, and describes methods for their identification and discovery.
5 Syntactic Parsing of Persian: From Theory to Practice

Syntactic analysis of a sentence is the preliminary knowledge required to understand a natural language. More precisely, it is a fundamental step towards deeper language understanding through semantic and discourse processing. Two components play the role in syntactic analysis: (1) Part-Of-Speech (POS) tagging to determine the syntactic role of the words in the local context, and (2) parsing to provide the tree structure of a sentence by determining the relations between the words of a sentence and labeling the relations. To have a reliable result, this syntactic analysis should be provided under the shadow of a grammar formalism. The major approaches used in the parsing algorithms are rule-based and statistical. In this chapter, we mainly focus on POS tagging and parsing in general, and the researches performed on syntactic analyses of Persian sentences in specific.
8 Machine Translation: From Paper Tapes to Neural Networks

This chapter describes machine translation, an NLP task whose primary purpose is to automatically translate texts from one language to another. It will present history of research done in the field, focusing expecially on Persian machine translation, starting from statistical methods, until current state-of-the-art approaches - neural machine translation. Additionaly, it will introduce numerous resources available for Persian and describe their use cases.
9 Distributional Word Representation for Persian

This chapter is devoted to the distributional representation of words. Considering that context plays the most important role in word representation, we start the chapter with this concept and then describe static word embedding. In static word embedding, the representation of each word is generated based on the word’s context since words in similar context carry similar meaning. Static embedding, however, provides a unique representation for each word regardless of its current context. Then we review the next generation of word representation which uses contextual information in two different aspects. Similar to static embedding, the context of words carries their meaning. Moreover, in contextualized word embedding, the contextual information of each word in its current text helps to provide a representation which directly fits the current context. In addition to describing each concept, the contribution of the models in Persian text processing as well as available datasets for evaluating Persian word embedding will be described in this chapter.
4 Speech Recognition for Persian

Automatic Speech Recognition (ASR) is a cross-disciplinary field that enables computers to process human speech into written form and consequently make meaning of it with the help of other NLP technologies such as natural language understanding and natural language interpretation. Automatic speech recognition has benefited a great deal from advances in machine learning throughout the past decade. In this chapter a brief summary of ASR technologies and advances in Persian ASR is provided. Moreover, datasets and tools for Persian ASR are introduced and following a discussion of the peculiarities of Persian speech, some future directions and research gaps in the implementation of speech recognition technologies for Persian are addressed.
1 Research in Persian Natural Language Processing – History and State of the Art

This chapter synthesizes the most prominent Natural Language Processing (NLP) studies conducted on Persian, focusing on text processing. The first section contains selected tasks from the NLP pipeline, such as text preprocessing, tokenization, POS tagging, syntactic parsing, treebank annotation or semantic analysis along with examples of how researchers approached the problem for Persian and, where applicable, examples of tools developed to perform given tasks. The following section discusses the application of Persian NLP like spell-checking, information retrieval, machine translation or sentiment analysis. Finally, the last section summarizes the Persian NLP corpora and other resources.
Becoming a Sakawa Boy

Sakawa boys are young internet scammers in Ghana who believe “juju” or magic helps to manipulate their victims into giving them large sums of money. Sakawa boys are recruited primarily from the urban poor and their principal targets are Westerners via the internet. Economic insecurity and entrenched poverty resulting from government corruption, as well as neocolonial global development initiatives, all contribute to a setting where occult economies thrive. The promise of great wealth to be gained through occult sits alongside fear that “juju” turns its users into zombies and can ultimately lead to death. This paper explores the structure and logic of poverty that makes becoming a Sakawa boy a viable survival strategy despite the risks involved.
An iterative slicing reconstruction method for point cloud surface holes

An iterative slicing reconstruction method for point cloud surface holes is proposed to address the problem that the traditional hole repair method fails in repairing surface holes with uneven density. Firstly, the least squares micro-slices are used to detect and extract the point cloud hole boundaries, and then the least enclosing box is constructed and initially rasterized to achieve a uniform segmentation effect. Then the density of segmentation results is analyzed and judged, and if the density is too large, iterative slicing calculation is performed to obtain uniformly dense segmentation blocks. Finally, the moving least squares method is used to fit each slice data to reconstruct the missing part of the point cloud surface. Our results show that this method can achieve the effect of filling the point cloud holes and averaging the point cloud density as well as improving the accuracy of hole repair for holes containing curved surfaces or point cloud data with uneven density.
Inference Systems

Before venturing into the study of choreographies, we introduce the formalism of inference systems. Inference systems are widely used in the fields of formal logic and programming languages and they were later applied to theory of choreographies as well.
New Materialisms in Law. A Plea for a Contemporary Ontology of Intellectual Property Law

Abstract New Materialism examines the role of subjects and objects in an environment shaped by new technologies. Based on these observations and considerations, the aim was to develop a new conception of materiality in the dynamic interplay of signifying processes and material structures. In a twenty-first-century world, where the points of interaction between humans and modern technological devices are steadily increasing, this approach becomes even more relevant. From a legal perspective, however, it becomes clear that this interplay between humans and processes has only been inadequately traced so far. In order to redress this dissatisfying situation, what is needed is a contemporary law that not only recognizes new subjects as such, but also understands new processes and roles. The aim of the present paper is thus to trace these processes between subjects and objects. In a second step, the aim is to build on the theory of New Materialism to make these insights workable for intellectual property law.
Materiality in Numbers

In this chapter, we will look at how and why using material devices to represent and manipulate numbers acts as the mechanism of numerical elaboration. Essentially, material forms make quantity tangible, and tangibility lets us manipulate quantity into increasingly explicit forms and complex arrangements.1 Different types of material forms then have different properties for representing or manipulating numbers: Some are fixed and thus suitable for recording, while others are mobile and thus suitable for calculating. Properties may also act as limitations that can motivate the recruitment of a new material form, which is selected because it can do things that the earlier form does while addressing its limitations in some manner. An example is the tally, which accumulates in the way the fingers do, though its higher capacity also means that it can reach quantities whose visual indistinguishability can motivate the use of a form that can be rearranged into groups. Numerical elaboration thus becomes a matter of whether devices are used for numbers, which ones are used, and how they are used.