Reviewerly/exHarmony huggingface dataset:
Modern University Education: Administrative and Bureaucratic Pressures and Their Consequences

The article considers two interrelated problems of modern Russian higher education: the strengthening of administrative coercion and control as well as the introduction of distance education. As a theoretical and methodological basis of the study, the authors rely on the socio-philosophical analysis of the problems of education in the famous S.I. Hessen’s work, where three basic principles of the effective functioning of the university are highlighted: the completeness of scientific knowledge, the freedom of teaching and learning, and self-government. The authors substantiate the view that at present all these principles are violated. Violation of the first of them is manifested in a decrease in hours devoted to the teaching of fundamental disciplines and in a general orientation toward the graduation of a “narrow” specialist; the second principle is incompatible with the extremely increased reporting of universities and overly formalized indicators of the quality of their work. Violation of the third principle is manifested in the gradual elimination of university autonomy, in particular, free election of rectors. The most negative manifestation of administrative pressure, according to the authors, today is the forced introduction of distance learning. The authors critically analyze the main arguments put forward in favor of this project: saving university budgets, ensuring a higher quality of teaching, the need to follow the general logic of modernization of education as a whole. The solution to financial problems, according to the authors, should not be based on forced economy, but on the competent organization of the country’s economic life. An appeal to a higher quality of teaching, which, it is argued, must be provided by teachers from the country’s central universities, is based on biased and unproven ideas. In addition, for mastering critical and systematic thinking skills, conducting scientific discussions, direct communication between teachers and students is necessary, which is not feasible in the conditions of online teaching with a very large number of students. In addition, the authors highlight the idea that nobody takes into account the need for close knowledge of a particular audience by a teacher to choose an adequate style of lecturing or conducting practical classes. The article concludes that the current administrative-bureaucratic style of managing higher education, in which not only the basic principles of the successful functioning of the latter are violated, but also destructive reforms are carried out, is destructive not only for education as such, but also for the state itself.
Digital Transformation of Educational Institutions: Challenges, Opportunities and Needs Caused by the Covid-19 Pandemic

Educational institutions have invested in digital transformation, bringing new opportunities, however, also presenting challenges associated with this change. Recently, the Covid-19 outbreak accelerated this process, accentuating online learning in the educational process. The purpose of this article was to present an overview of the challenges and opportunities related to digital transformation of educational institutions and the needs caused by the Covid-19 pandemic. Consequently, to better define the subject, it was conducted a qualitative methodology of bibliographic review. Digital transformation requires a reorganization of educational institutions, not only in the academic curriculum but also in both networking and social ways. Efforts are needed to integrate students and teachers in this digital age since they require training, monitoring and support in both digital knowledge and digital security. Otherwise, there is the risk of disruptions and anguish occurrence in the transitioning process and most of the advances made may not be sustainable. Despite all the known advantages of implementing new technologies in learning, digital divide raises concerns about equity. A good internet connection and availability of equipment are essential to make teaching process uniform and fair. Covid-19 pandemic forced digital transformation and the abrupt change in routines and procedures has putted everyone under great strain, namely teachers. However, this forced change also brought positive aspects such as investment in technologies of the future, with numerous initiatives and learning models already in practice and which are here to stay, as the teaching methods will never be the same after such an impactful experience.
The Visual Narrative Engine: A Computational Model of the Visual Narrative Parallel Architecture.

This paper introduces the first computational model of a proposed set of cognitive structures and processes involved in interpreting visual narratives (specifically, comics). The study of cognitive processes that occur when readers interpret comics has been theorized and experimentally validated to include spatial semantics—a mental model of the physical environment depicted in each image— and event structure semantics—a hierarchy of narrative events that take place over time. These semantic models are interconnected, developing in parallel as readers interpret a panel sequence. Our computational model aims to bring clarity to the cognitive theory of visual narrative sensemaking and poses new questions for the cognitive science community. Towards this end, we present a prototype computational model in which event structures are represented as hierarchical plans and spatial structures are represented as relational scene graphs. Domain knowledge about narrative events and how they relate to underlying scene structure is encoded in a standard Hierarchical Task Network (HTN) planning domain representation. Using a standard implementation of HTN planning, we demonstrate how to search the space of possible HTN solutions for ones that match with comic panel sequences.
CREATING A DIGITAL ENVIRONMENT IS A WAY TO IMPROVE THE QUALITY OF EDUCATION

Continuous improvement of the education system, aimed at improving the quality of educational services provided by educational institutions, updates the need for different pedagogical thinking, innovative forms and new conditions for implementing education, up-bringing and development of students. One of the ways to solve these problems is to create digital educational environment in educational institutions. The article is aimed at solving the following number of problems: studying the essence of the digital educational environment, identifying its structure, studying the requirements for making modern digital environment of a higher educational institution. The work justifies the need to create digital educational environment in conditions of education informatization and digitalization. Approaches to substantiating the essence of the digital educational environment have been defined, the conditions for its creation in order to improve the quality of educational services have been outlined. The advantages of the digital educational environment include: providing educational opportunities for all participants in the educational process equally; learning mobility (variation of time and place of learning); life-long learning during the life; opportunities for the training of schoolchildren, students, participants in courses and vocational retraining programs along the designed individual educational routes; consumption, use and development of e-learning resources. The organization of educational activities in the digital environment is aimed at the optimal solution of fundamental didactic problems with the most necessary coverage of all the advantages of information and communication technologies, digital learning technologies and their means. In addition, the conditions of the digital educational environment allow us to develop a certain electronic basis for the development of the cognitive and creative activities of students and teachers, supporting the continuous dynamic formation of a system of knowledge and competencies, which is the basis for managing and ensuring the quality of the pedagogical process and educational services.
Effectiveness of E-Curriculum in Social Networks during the COVID-19 Pandemic: Parents’, Teachers’ and Students’ Perspectives

Background: This study aimed to determine the effectiveness of e-curriculum in social networks from the perspectives of parents, teachers, and students during the COVID-19 pandemic. Methods: This was a descriptive study using a survey method in 2020-2021 academic year. The statistical population consisted of three groups of teachers, parents, and primary school students in Dehloran County, Iran. The sampling method included a census of teachers (97 teachers) and random cluster sampling of parents and students (150 parents and 340 students). The data collection tool was a questionnaire for all three groups. Kolmogorov-Smirnov test and one-sample t-test were used to analyze the data. Results: In assessing the effectiveness of e-curriculum in social networks based on the education triangle (teachers, parents, and students) different levels of effectiveness were reported (P<0.05), in the sense that the elements of content, teaching strategies, and evaluation methods were in a desirable condition only for teachers and parents, but not for students. Only the element of objectives received favorable scores from all three groups (teachers=3.73, parents=3.42, and students=3.06). Conclusion: Educational policymakers and planners should take note of different perspectives in the education triangle when evaluating the effectiveness of e-curriculums for primary schools during the COVID-19 pandemic.
Scientific Map of Papers Related to Data Mining in Civilica Database Based on Co-Word Analysis

Today, due to the large volume of data and the high speed of data production, it is practically impossible to analyze data using traditional methods. Meanwhile, data mining, as one of the most popular topics in the present century, has contributed to the advancement of science and technology in a number of areas. In the recent decade, researchers have made extensive use of data mining to analyze data. One of the most important issues for researchers in this field is to identify common mainstreams in the fields of data mining and to find active research fields in this area for future research. On the other hand, the analysis of social networks in recent years as a suitable tool to study the present and future relationships between the entities of a network structure has attracted the researcher’s scrutiny. In this paper, using the method of co-occurrence analysis of words and analysis of social networks, the scientific structure and map of data mining issues in Iran based on papers indexed during the years 1388 to 1398 in the Civilica database is drawn, and the thematic trend governing research in this area has been reviewed. The results of the analysis show that in the category of data mining, concepts such as clustering, classification, decision tree, and neural network include the largest volume of applications such as data mining in medicine, fraud detection, and customer relationship management have had the greatest use of data mining techniques.
Perancangan dan Analisis Pengaruh User Interface E-Learnig Terhadap Minat Belajar Siswa SMA/SMK Menggunakan Heuristic of Responsive Web Design

During this current pandemic of Covid-19, online learning or online school is very important for high school students because they have not been allowed to going to school to take part in offline school as usual. The existence of E-Learning or Electronic Learning facilities will greatly help students to get material or theory in the form of lessons and information from the internet. As the Minister of Education emphasizes the implementation of online schools, more and more parents are beginning to facilitating their children with smartphones, so that students can join the online class or searching the subject on the internet. There are many online platforms that provide these things, one of which is the website. However, there are still many websites whose display or the user interface is not very attractive to students because their construction has not been designed properly and optimally. By using the Heuristic Of Responsive Web Design method as a benchmark to make this e-learning website, hoped that the website design and purpose will be fulfilled the need and expectations of students who want to find lessons material and want to learn by online.
Use of Correspondence Analysis in Clustering a Mixed-Scale Data Set with Missing Data

Correspondence analysis is a method of dimension reduction for categorical data, providing many tools that can handle complex data sets. Observations on different measurement scales can be coded to be analysed together and missing data can also be handled in the categorical framework. In this study, the method’s ability to cope with these problematic issues is illustrated, showing how a valid continuous sample space for a cluster analysis can be constructed from the complex data set from the IFCS 2017 Cluster Challenge.
A Methodology for Software Cost Estimation Using Machine Learning Techniques: International conference on Recent Trends in Artificial Intelligence, IOT, Smart Cities &amp;amp; Applications (ICAISC-2020)

Now a day’s many different organization expends billions of dollars on software development and maintenance annually. Many organization software projects are fail to be completed, or it is over budget, due to the inability of current software cost-estimation techniques to estimate effort and cost, at early venture organize, the degree of exertion required for an undertaking to be finished. One explanation is that present programming cost-estimation models will in general perform ineffectively when applied outside of barely characterized spaces.Machine learning offers an elective way to deal with the present models. In Machine learning, the area explicit information and the computer can be coupled to make a motor for information revelation. Using genetic programming, neural networks and genetic algorithms, alongside a distributed programming project data set. Several cost estimation models were developed. Testing was conducted using a COCOMO 81 data set. Every one of the three procedures demonstrated degrees of execution that show that every one of these systems can furnish software project managers with capacities that can be utilized to get better software cost estimates.
Deep interaction network based CTR prediction model

CTR (Click-Through-Rate) prediction has become an important link to the recommendation system. As deep learning techniques mature in computer vision and natural language processing, it is also beginning to be used in the area of recommendations. In this paper, we propose a new CTR prediction model based on xDeepFM with attentional mechanisms, attention mechanism can enhance the ability to represent characteristic information, and the importance of dynamic modeling features, the convergence ability of the model is optimized. When tested on the open data set, the model can effectively improve the accuracy of CTR prediction, stabilize the prediction deviation, suppress the influence of noise data, and can adapt to the CTR prediction task of any scene.
Review on a Privacy-Preserving and Efficient kNearest Neighbor Query and Classification Scheme Based on k-Dimension Tree for Outsource Data

Cloud computing technology has attracted the attention of researchers and organizations due to its computing power, efficiency and flexibility.Using cloud computing technology to analyze outsourced data is become a new data utilization model.However, due to the severe security risks that appear in cloud computing, most organizations now encrypt data before outsourcing data.Therefore, in recent years, many works on the k-Nearest Neighbor (denoted by k-NN) algorithm for encrypted data has appeared.However, two main problems in existing current research are either the program is not secure enough or inefficient.In this paper, based on the existing problems, we have designed a non-interactive privacy-preserving k-query and classification scheme.Our proposed scheme uses two existing encryption schemes: Order Preserving Encryption and the Parlier cryptosystem, to preserve the privacy of encrypted outsourced data, data access patterns, and the query record, and utilizes the encrypted the k-dimensional tree (denoted by kd-tree) to optimize the traditional k-NN algorithm.Our proposed scheme aim to achieve high query efficiency while ensuring data security.Extensive experimental results prove that this scheme is almost close to the scheme using plaintext data and the existing non-interactive encrypted data query scheme in terms of classification accuracy.The query runtime of our scheme is higher than the existing non interactive k-NN query scheme.
Distributed Encrypted Image-Based Reversible Data Hiding

Sensor cameras over wireless sensor networks are common devices to realize surveillance or data gathering. In general, the sensed images will be routed from sensors to gateways which can deliver the collection of images to the server. For routing, the nodes which are located between the source and terminate need to add some information (e.g., tags) into the images. Assuming that the communications among sensors and gateways are via insecure channels, encryption is a simple way to keeping confidentiality. However, except for using homomorphic encryption, it is not achieved to perform computation over ciphertext, so nodes cannot easily add message into the encrypted images. In this paper, we focus on a cloud-edge model, and propose a new distributed encrypted image-based reversible data hiding scheme, where given an image the edge produces encrypted ones and distributes them to intermediate nodes which then generate the message-embedded encrypted image, and finally the cloud can recover the original image and extract the message. Our techniques mainly utilize exclusive-OR secret sharing as encryption, and apply difference expansion and simple preprocessing for the embedding strategy. The experimental results are provided to show the efficiency and effectiveness of this scheme.
ANALISIS NILAI-NILAI PENDIDIKAN KARAKTER PADA NOVEL “9 MATAHARI” KARYA ADENITA

The novel is one of the literary works written by the author based on oneself or the experiences of others. Novels are liked by many people because there are moral values that are useful for daily life. The moral value is related to character education which has always been considered important for social life. Character education is often considered trivial because the delivery is not as clear as the delivery of formal education . In the novel 9 Matahari adenita's work contains a lot of values of character education that can change the behavior of readers for the better. This study aims to describe the values of character education in the novel 9 Matahari by Adenita. The method used is descriptive qualitative. The object of research is the novel 9 Matahari by Adenita. Data collection techniques by finding data in the form of novels, the second stage of perusing each line of the novel, the third stage of collecting data by searching and marking fragments containing character values, the fourth stage codes the fragments of novels that contain character values, the fifth stage classifies and describes novel character values, the sixth stage by concluding the analysis of the character values in the novel. Data analysis was performed by researchers, namely content analysis. Conclusions are deductive or inductive. The results of this study show ten values of character education contained in the novel 9 Matahari by Adenita namely (1) religious values, (2) honest values, (3) values of hard work, (4) reading values, (5) the value of responsibility, (6) independent, (7) curiosity, (8) discipline, (9) the value of social care, and (10) the value of friendly / communicative.
Measuring Visual Attention Processing of Virtual Environment Using Eye-Fixation Information

Numerous scholars have explored the modeling, control, and optimization of energy systems in buildings,offering new insights about technology and environments that can advance industry innovation. Eye trackers deliverobjective eye-gaze data about visual and attentional processes. Due to its flexibility, accuracy, and efficiency in research,eye tracking has a control scheme that makes measuring rapid eye movement in three-dimensional space possible (e.g.,virtual reality, augmented reality). Because eye movement is an effective modality for digital interaction with a virtualenvironment, tracking how users scan a visual field and fix on various digital objects can help designers optimize buildingenvironments and materials. Although several scholars have conducted Virtual Reality studies in three-dimensionalspace, scholars have not agreed on a consistent way to analyze eye tracking data. We conducted eye tracking experimentsusing objects in three-dimensional space to find an objective way to process quantitative visual data. By applying a 12 × 12grid framework for eye tracking analysis, we investigated how people gazed at objects in a virtual space wearing a headmounteddisplay. The findings provide an empirical base for a standardized protocol for analyzing eye tracking data in thecontext of virtual environments.
Analyzing Risk Evaluation Frameworks and Risk Assessment Methods

Over the recent years, cyber insurance has become increasingly important, as our society has relied more and more on the cyber domain for almost all aspects of our daily life and work. The number of vulnerabilities is continually increasing and so do the cyber-attacks and data breaches. Security engineers have a harder time than ever to score the risk their organization is exposed to. Moreover, putting a tag with the costs, a company may need to overcome a possible cyber-attack is really challenging, because financial assessment hasn't developed enough, neither in the academic environment, nor in the business sector.
A Novel Hybrid Cyber Range for Security Exercises on Cyber-Physical Systems

Incident response teams cannot prepare for every situation or predict every crisis, especially when they involve cyber-physical systems. As a result, training activities need to be provided to support operating in challenging situations to develop concrete guidance, procedures, and tools to help individuals collectively react in different, unpredictable situations. Experiential learning is a training technique based on the assumed importance of experimenting and involvement, proposing that active engagement in a scenario develops personal experiences that form the basis of understanding. Exercises are a form of serious games that are a proven method of delivering experiential learning. This article presents CYRAN, a realistic environment used for cyber warfare training, cyber resiliency testing, and cyber technology development. CYRAN is a low-cost cyber range that can be easily used for experiments on realistic scenarios for various educational and training purposes and for the collection of labelled datasets for further research.