Reviewerly/exHarmony huggingface dataset:
The Basic Status, Features, and Shortcomings of Coordinated Development of the Beijing-Tianjin-Hebei Regions

Since 2014, when the concept of coordinated development of the Beijing-Tianjin-Hebei (BTH) region was first proposed, BTH cooperative development and the co-construction of three regional city clusters as a major national development strategy have made great achievements in top-level design, industrial docking, and ecological environment. Using the literature review method, this paper summarizes and analyze the development concept, the direction of talent flow, the industrial situation, and its deficiencies in resource flow and education development in the coordinated development of the BTH region. The coordinated development of the BTH region in 2035, is believed to have improved in the sharing of regional resources, further narrowed the development gap among the three regions, and created a new pattern of BTH cooperative development, with a world-class city cluster in the BTH region.
Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders

In this paper, we introduce a multi-label lazy learning approach to deal with automatic semantic indexing in large document collections in the presence of complex and structured label vocabularies with high inter-label correlation. The proposed method is an evolution of the traditional k-Nearest Neighbors algorithm which uses a large autoencoder trained to map the large label space to a reduced size latent space and to regenerate the predicted labels from this latent space. We have evaluated our proposal in a large portion of the MEDLINE biomedical document collection which uses the Medical Subject Headings (MeSH) thesaurus as a controlled vocabulary. In our experiments we propose and evaluate several document representation approaches and different label autoencoder configurations.
Image Representation Based on Overlapping Rectangular NAM and Binary Bit-Plane Decomposition

Binary-bit plane decomposition (BPD) is an effective method to reduce image complexity. Because of the diversity of sub-patterns of the non-symmetry and anti-packing model (NAM), combining NAM and BPD has resulted in a variety of image representation algorithms, such as a gray image representation based on square NAM and BPD (SNAMBPD), a gray image representation based on triangular NAM and BPD (TNAMBPD), and a color image representation based on rectangular NAM and BPD (RNAMBPDC). The study found that the overlapping rectangular NAM has more advantages in image representation than the square NAM, triangular NAM and non-overlapping rectangular NAM. It can represent larger homogeneous blocks, that is, the number of homogeneous blocks obtained by using the overlapping rectangular NAM is much less. Based on this, this paper proposes a gray image representation based on overlapping rectangular NAM and BPD (ORNAMBPD), and extends a color image representation based on overlapping rectangular NAM and BPD (ORNAMBPDC). The experimental results show that compared with LQT, SNAMBPD and TNAMBPD, our proposed ORNAMBPD has the least number of homogeneous blocks and the highest compression rate. Moreover, ORNAMBPDC also has fewer homogeneous blocks than LQT and RNAMBPDC algorithms, and the compression rate is also much higher.
Current ways of structuring courses of academic disciplines

The article substantiates the need to revise not only the content, but also the structure of courses of academic disciplines, provides some terms of self-directed and goal-oriented learning. Options for building a tree of courses, various tools for organizing the structure of courses, such as electronic information and educational environment, interactive textbook, channels on platforms for organizing the workspace, corporate messengers (Google Class, Slack, Teams, etc.), intelligent map, and intelligent learning system are considered. The advantages and disadvantages of each approach are analyzed in detail, the recommended forms of organizing the information structure of courses for full and part-time students are derived. A promising method of registration of distance courses is highlighted and the problems of its implementation are identified. The examples of the implementation of the proposed approaches to organizing the structure of the educational process in the form of courses in the Google Class service are given.
Analysis of promising areas for automation of the educational process of SSUGT in order to reduce the cost of working time of the faculty

The article deals with the problems of automating the provision of the educational process of a University. On the example of SSUGT, regularly recurring activities are considered. A number of issues with a high potential for automation were identified, e.g. the processes of documenting the results of the current certification, preparing annotations and work programs for disciplines, forming a competency matrix for the main educational program, and reports on educational work. The features of each of these issues are considered and possible ways to solve them are proposed. For individual processes, an assessment of the reduction in time costs is given in the case of the implementation of the proposed automation steps. The proposed areas of automation are consistent with the Draft of the University Digital Transformation Strategy for 2022-2030 adopted in December 2021.
Search for approaches and tools to improve the efficiency of distance learning

The article presents the problems of distanced educational process implementation in SSUGT and proposals to the problems overcoming. There are also links to examples of the implementation of the proposed approaches to optimizing the educational process in the form of courses in the Google Class service.
Experience of Using Archicad and Unreal Engine Software in Extracurricular Classes in the Course "Creating 3D Interactive Models of Buildings" for Students of the Novosibirsk Regional Education Center

The article describes the use of Archicad and Unreal Engine software products in extracurricular classes on creating interactive three-dimensional models of buildings and adjacent territories with students of 7-10 grades of the Regional Center of Education (RCE) of Novosibirsk. The result of the course is an individual project implemented in the form of an application that allows taking a virtual walk through the created models of buildings with the possibility of interaction with objects. The article describes the results obtained by students when attending extracurricular classes, describes the peculiarities of the perception of educational material, and presents work tasks that caused the greatest difficulties in solving them. In general, the knowledge, skills and abilities acquired by students can further strengthen their interest to three-dimensional modeling, as well as in the development of interactive applications and games.
Implementation of the "free education" format within the framework of a branch university in the field of Earth sciences

The problems of the discussion on the implementation of "free education" in the university environment are also relevant for an branch university of various profiles. The definition of the optimal scope of applicability of this educational format in the conditions of branch universities in the field of Earth sciences is carried out on the basis of the method of analysis of a specific university as an object of management. There are three main formats of free education for undergraduate studies: the nuclear program, the open curriculum, and the system of distributive requirements. It is established that the system of distribution requirements is more suitable for the surveyed universities. For them, it seems legitimate to saturate disciplines in the field of Earth sciences, including land management, cadastre and land monitoring, with materials reflecting the author's concept of preserving and increasing the environmental potential of the territory as the fundamental basis of its spatial development. The success of the implementation of free education will really depend on the normalization of the process of fair competition for the place of employment.
Collaborative Filtering Algorithm Based on Item Popularity and Dynamic Changes of Interest

The traditional collaborative filtering algorithm does not consider the influence of item popularity in similarity calculation, and the prediction score does not consider the influence of time on the change of user interest, resulting in inaccurate similarity calculation and single recommendation result. To solve these problems, this paper improved the traditional similarity calculation method by combining the item popularity penalty coefficient, improved the recommendation diversity of the algorithm, and integrated the time factor into the prediction method to solve the problem of interest attenuation. Experiments on the 100K and 1M data set of Movielens show that the improved algorithm effectively improves the accuracy and coverage of recommendations.
Mining Maximal Fuzzy Colocation Patterns

Spatial colocation pattern mining is to discover the subsets of spatial objects frequently appearing together in adjacent geographic locations. In the existing research, several algorithms were proposed for excavating maximal prevalent colocation patterns. Furthermore, fuzzy neighborhood relationship(FNR) was employed to evaluate the proximity between spatial instances for improving the accuracy of the mining results. However, the approach for discovering the maximal prevalent colocation patterns based on FNR is not studied yet. This paper defines the maximal fuzzy prevalent colocation pattern (MFPCP). We propose a maximal fuzzy prevalent colocation pattern mining algorithm to generate the MFPCPs instead of all of the prevalent colocation patterns. We conduct experiments on the real datasets to evaluate the performance of the proposed algorithm.
敵対的学習によるクラス推定を利用した部分ドメイン適応

Domain adaptation is an approach to transfer knowledge from a certain source domain to another target domain. Several studies are recently reported on partial domain adaptation (PDA), where the class set of the source domain is larger than that of the target domain as a more realistic setting, but then the source domain specific classes make the adaptation more difficult. Most existing methods for PDA give small weights to the source domain specific classes to prevent the target data from being matched. The present paper proposes a PDA method which introduces a novel mechanism that gives additional weights to an individual target data by estimating the probability that the data belongs to each source class. The estimation is given by multiple discriminators that measure the distance between the data distribution of each source class and the entire target data distribution through adversarial training against a data encoder. Computer experiments using two handwritten digit datasets as two domains show that the proposed method achieves more stable and accurate domain adaptation compared with state-of-the-art existing methods for PDA.
Comprehensive Management System of Rural Teachers' Organization Information Based on Cordova Framework

Cordova is the hybrid mobile application development framework with the highest share in the market, with specific and clear development ideas, able to provide users with a good interactive experience, solving the problem of differences between Android and iOS versions of the program, suitable for the most popular Hybrid APP mobile development technology today. The system is developed based on Cordova framework and designs based on SQLite lightweight embedded database access method; designs the system functions consisting of "School institution management, Organization standard management, In service personnel management, Temporary personnel management, Teacher information management, Statistical report management, Superior department interface, System maintenance management" and other subsystems; uses the cordova-plugin-camera plugin provided by Cordova to implement the system photo function.
Design and Implementation of 4D Overhaul Management Platform for Nuclear Power Plant

Every 18 to 24 months, the nuclear power plant will shut down for outage to refuel and conduct many routine repair and maintenance for the reactor, which is the Overhaul. In the past, the overhaul management software are normally based on 2D charts and figures, such as the P3 / P6 system. This paper innovatively gives a 4D proposal for the overhaul management, which combines the 3D scene, Pert Chart and Gantt Chart all together. The aim is to better assist, guide and optimize the overhaul process. And a use-case is applied to verify if the 4D overhaul management platform can really meet the requirements of the overhaul activity. The result shows that the 4D overhaul management platform offers intuitive visual effects to the overhaul staff and can pre-train them before the real overhaul, which can improve the overhaul preparation efficiency. Finally future work is given in the last part.
How Engineers Use Evolution to Invent Things

You may have heard of evolution in terms of plants and animals, but did you know that this natural process can also be used by engineers to invent things? Animals and plants have evolved in amazing ways to survive in their environments. Biologists have been investigating how evolution works for a long time. Mathematicians and computer scientists have worked alongside biologists to create computer programs that can evolve designs, to help engineers invent things. These are called evolutionary optimization algorithms, and they can be used to evolve faster airplanes, stronger bridges, or even better video games. In this article, we will explain how these algorithms work and what their strong and weak points are.
Arabic Dialogue Systems: A Survey

Arabic dialogue systems or “conversational agents” are crucial subclass of natural language processing (NLP) that aims to interact with humans through an intelligent conversation using a natural language. These systems programmed to mimic human’s behavior, and it caught the attention of many researchers of technology field in general and artificial intelligence field in particular. There are many English dialogue systems researches have been done in various fields while the Arabic dialogue systems researches are rare. In this work, we propose a review of the literature published in the field of Arabic dialogue systems to clarify the gaps facing those researches which can be an active area and a starting point for the researchers.
Threats and Countermeasures in Digital Crime and Cyberterrorism

In the current era of the cyber space or cyber world, threats are the most difficult thing to handle in which we have to maintain and manage the cyber security system to not get vulnerable to any cyberattack and which can lead to a threat to the information system. Cyber security against digital or cybercrime and cyberterrorism has also been a more prominent issue in various organizations, institutions, governments, and in countries as well. It is also affecting various stakeholders, energy markets, schools, colleges, and the cyber infrastructure who are exploited to a cyberattack by the cyber terrorist or cybercriminals. There are several policies, rules and regulations, laws, and different techniques to tackle with cybercrime and cyberterrorism but the cyber terrorist does not have the fear against these things and they are still executing cybercrime against the military secrets of any country, against the organizations, against the individuals, etc. to misuse the information for the purpose of destroying the countries’ power in the world. There are several new tools and techniques available in the cyber space that allowed and encouraged the cyber terrorists to execute criminal acts against the world and compromise the information security system in various countries and in various government security policies. In this chapter, we are going to discuss about the different types of threats of a cyberattack, different types of cyberterrorism, and different technologies that are used by the cyber terrorist. This chapter will also provide the discussion about the rules and regulations, policies, laws, and emerging technologies that are introduced in the cyber world that can enhance and change the infrastructure of the cyber security, which can reduce and stop illegal activities in the cyber world and enhance the security infrastructure for the information system. This chapter gives an overview about the research work to follow, which provides the review of network security, cyber security, internal threats, and different topics in cyber security. This chapter also gives preventive and detective measures for the countermeasures against the cybercrime and cyberterrorism and provides security to the information system.
Study on online demand-supply matching of electric power technology based on technical field feature

As the technical demand-supply text information increases rapidly in electric power technology transfer, traditional matching methods could no longer meet the need. To solve this problem, this paper proposed a new technical demand-supply matching method based on electric power technical field feature. First, the improved TF-IDF algorithm was used to extract technical field feature, then scientific and technological achievements with higher relevancy were retrieved based on technical field feature to build a background library of electric power technological achievements, and the matching degree of electric power technological achievements based on word vector was used to verify the matching efficiency of this method. We adopted the China smart grid technical transaction service platform and the text message of electric power technical demand and technological achievements on Keyi net for application, and the results indicate this method has raised the matching efficiency by 23.4% compared to traditional methods. In this paper, a new idea of taking technical field feature as the demand-supply matching basis of electric power technology transfer platform was proposed, which opens a new perspective for the research of demand-supply matching efficiency on electric power technology transfer platform, helps to promote the matching efficiency of technical demand and technological achievements, and further raises the success rate of electric power technology transfer.
An algorithm for using a cross-platform mobile application to protect information in cloud storage

Objective . A high-quality "cloud storage" of data should ensure the confidentiality, integrity and availability of information in the "storage". The use of "cloud storage" for storing information in backups is associated with their possible loss. Ensuring the confidentiality of information in the "cloud storage" implies that by "uploading" data to the "cloud storage", the user must be sure that an attacker will not be able to obtain information from the storage. The aim of the study is to develop an algorithm for using a cross-platform mobile application to protect information in the "cloud storage" of IS. Method . The study is based on the use of a cross-platform approach to creating applications. Result . The analysis of existing approaches and frameworks for the development of crossplatform mobile applications was carried out. It is proposed to create an application based on the Xamarin framework. To ensure the confidentiality of information, it is proposed to encrypt them before uploading data and backup copies of files. Encryption involves hiding the original type of the file from unauthorized use using crypto-algorithms, when the owner of the encryption key is the authorized user. To implement the function of encrypting data and backup copies of files uploaded to the "cloud storage", it is proposed to use the Rijndael symmetric block encryption algorithm, adopted as an encryption standard according to the results of the Advanced Encryption Standard (USA) competition. Conclusion . A cross-platform mobile application can be compiled and run efficiently under iOS and Android operating systems, encrypt files and upload them to the "cloud storage" with the possibility of subsequent decryption.
Self-supervised Implicit Glyph Attention for Text Recognition

The attention mechanism has become the \emph{de facto} module in scene text recognition (STR) methods, due to its capability of extracting character-level representations. These methods can be summarized into implicit attention based and supervised attention based, depended on how the attention is computed, i.e., implicit attention and supervised attention are learned from sequence-level text annotations and or character-level bounding box annotations, respectively. Implicit attention, as it may extract coarse or even incorrect spatial regions as character attention, is prone to suffering from an alignment-drifted issue. Supervised attention can alleviate the above issue, but it is character category-specific, which requires extra laborious character-level bounding box annotations and would be memory-intensive when handling languages with larger character categories. To address the aforementioned issues, we propose a novel attention mechanism for STR, self-supervised implicit glyph attention (SIGA). SIGA delineates the glyph structures of text images by jointly self-supervised text segmentation and implicit attention alignment, which serve as the supervision to improve attention correctness without extra character-level annotations. Experimental results demonstrate that SIGA performs consistently and significantly better than previous attention-based STR methods, in terms of both attention correctness and final recognition performance on publicly available context benchmarks and our contributed contextless benchmarks.
Dynamic Power Relations Informed by Discursive Positionings

In Chap. 8 , the non-stereotypical positions of doctors and e-patients in the OMC affective practice have been discussed at length. The present chapter goes further to link these atypical positions to power relations between doctors and e-patients.
Online Space for Health Communication and the China Context

This chapter presents the research background of this book, specifically the context of OMC in China. It also discusses the importance and the rationale of conducting this study in the China-specific context.
A Study on Vocal Education in Applied Music Analysis of Research Trends in Korea.

The purpose of this study is to present the direction of future related research by analyzing domestic degree papers and papers related to vocal education published in academic journals. To this end, 175 papers (37 academic papers and 138 degree papers) that meet the conditions were collected and analyzed by year of publication, research method, research subject, and research content. The results of the study are as follows. First, vocal education research has shown a gradual increase since 2003 By 2018, it was found that the individual reached its peak. Second, as a result of analysis by research method, ‘literary research’ was found to have been conducted the most. Third, as a result of analysis by research subject, ‘literature and analysis theory’ was the highest. Fourth, as a result of analysis by research content, ‘case study’ was found to be the most common. Fifth, as a result of analyzing the trends by publishing journal, it was confirmed that the most studies were published in ‘popular music content’. Sixth, as a result of classification by registered information, the largest number of studies were published in the ‘registered place’. Based on the contents of the analysis results, the direction and direction of future related research were presented.