Reviewerly/exHarmony huggingface dataset:
Methodological basis for the formation and implementation of the monitoring mechanism in the system of continuing professional education

The purpose of the study is to develop a monitoring methodology and its tools, taking into account the cyclical nature of the management process in the organizations of the system of continuing professional education. The article reveals the methodological features of the formation and management of the system of continuing professional education. Among the management functions, the monitoring function stands out. The possibilities of monitoring from the standpoint of the planning and management cycle implemented in the organizations of continuing professional education are investigated. The scientific novelty of the work lies in the formalization of the monitoring mechanism and substantiation of the methodological prerequisites for its application in the strategic management of the system of continuing professional education. As a result of the research, a set of proposals has been formulated that ensure the development of monitoring methodology in its strategically oriented interpretation.
Scientific Community: The Republic, The Field, The Collective

The purpose of the study is to determine the specifics of science sociality. The concepts of the scientific community formulated by R. Merton, P. Bourdieu and B. Latour are compared. The evolution of the scientific community as a method of self-description of scientists is considered. It was found that the ideal embodied in Respublica Literaria collides with the real practices of science. This leads to the fact that the actions of actors within the scientific community, considered in this optics, appear as internally contradictory. Scientific novelty lies in the identification of various ways of existence of the scientific community, due to the approach to the definition of its formation mechanisms.
Experience in implementing distance learning in regional universities: methodological aspect

The purpose of the study is to identify the theoretical, methodological and methodological foundations of the organization of distance learning in the process of training engineers studying at regional universities. The article discusses the main components of the methodological system. The technique of using the didactic potential of practice-oriented and problem-based teaching methods is proposed. Scientific novelty lies in the identification of components and signs of the formation of engineering thinking of bachelors in the context of distance learning. As a result, the pedagogical conditions for the formation of engineering thinking of bachelors in a distance format were revealed.
Document as Text and Hypertext

The purpose of the study is to demonstrate that the real intellectual process involves both evolutionarily and functionally interacting patterns of linear and nonlinear discourse. The author analyzes the pattern of evolution of the document and its systemic forms of organization as the interaction of a linear and non-linear form of its organization. The erroneous position is justified that the nonlinear form of organization of discourse is only postmodern novation. Objective prerequisites and subjective strategies are revealed, which led to a revolution in documentary science of the era of the formation of a scientific picture of the world and the advent of the ideology of the Enlightenment. The scientific novelty also consists in the demonstration that as a result of the creation of man-machine intelligent technologies, an epistemological and semiotic revolution occurred, associated with the transition from a two-dimensional to a three-dimensional organization of knowledge, the core of which was electronic hypertext.
INTERDISCIPLINARITY IN THE TEACHING OF PHYSICS AS A FACTOR OF STRENGTHENING THE ENVIRONMENTAL COMPONENT IN THE PREPARATION OF BACHELORS

The interdisciplinary approach to the organizational and methodological support of the educational process is a reflection of the integration processes in the educational system of higher education. It is typical for almost all academic disciplines of the natural science profile, including physics. This is due to the fact that physical concepts, laws, theories and principles play a decisive role in most sections of natural science. They play an important role in the formation of a scientific worldview and are the foundation for mastering the information contained in special disciplines, for which today the strengthening of the environmental component is relevant.
DIGITAL DIDACTICS IN THE TRAINING OF PHYSICAL EDUCATION TEACHERS

The article considers the modern problems of training a teacher in physical culture in the conditions of digitalization. Fundamentally new educational tasks that the digital didactics poses for education have been identified.
A Study of Sample Preprocessing Method for Correlation Power Analysis (CPA) Attack

To protect data, smartphones, PCs, networks, and other computer devices utilize block encryption algorithms, among which Advanced Encryption Standard (AES) is a representative encryption algorithm. AES is evaluated to be the safest one of the encryption algorithms at present and is universally applied. However, the AES encryption algorithm began to be threatened by Side-Channel Attack (SCA) since 1996. Many studies have been done and many more will probably be conducted, but so far, the results are showing some significant correlation between a variety of leaked information and success rate in side-channel attacks. Many different side-channel attacks are using a variety of leaked information (e.g., power consumption, electromagnetic waves, fault-injection results), among which Correlation Power Analysis (CPA) is the technique of analyzing power consumption with the Pearson correlation coefficient and it can be presenting a high success rate of attacking most hardware devices. If the correlation power analysis is applied and measured by an oscilloscope, it is possible to obtain secret keys of the low-power computer-based equipment, such as IoT or wearable devices. Also, recently, deep learning-based analytic studies on side-channel attacks are actively conducted, therefore, the need for research on attack methods and defense techniques becomes more urgent. In this paper, we upload AES’s AddRoundKey function to Arduino UNO, which has the capability that can be used for IoT, measure power consumption with an oscilloscope for all keys, check the correlation power analysis success rate, and confirm the need for defense techniques. For the experiment, based on the AddRoundKey function of AES, 256 secret keys were measured with a 1GS/S oscilloscope. At this time, these secret keys were bundled in tens per case, and therefore a total of ten cases were measured. In the comparison of power consumption, the Pearson correlation coefficient, and guess the key, correlations with secret keys were inferred. According to the simple comparison of power consumption and the Pearson correlation coefficient, the accuracy rate was about 65%. In this case, when the Pearson correlation coefficient was compared for the position of the power consumption waveform, the accuracy rate was about 80%. Additionally, with the use of the point that the positions of guess keys were mostly constant, it was possible to achieve the success rate of about 93.75%.
POTENSI ANCAMAN BANJIR BANDANG SUB DAS TIMANG GAJAH KABUPATEN BENER MERIAH DAN ACEH TENGAH

Timang Gajah Sub Watershed is one of total 12 sub watersheds located in Peusangan Watershed. The condition of Peusangan Watershed is degraded and it triggers hydrometeorology disaster such as flash flood. The record of flash flood events is very high in the districts located in Peusangan watershed. According to BPS 2014 Data, there were 32 events of flash flood occurred in Central Aceh, 17 events occurring in Bener Meriah, 7 events occurring in Bireuen, 2 events occurring in North Aceh, 23 events occurring in Pidie and 4 event occurring in Nagan Raya. This reason becomes the background of the research as well as there has not been compiled flash flood hazard map in Timang Gajah Sub Watershed. This research aims to compile flash flood hazard map in Timang Gajah Sub Watershed. The research analysis is by using Indonesia Disaster Risk (RBI) (2016). The analysis tool used is GIS tool. The result uses fuzzy membership analysis of inundation depth. Based on the analysis outcomes, it is resulted that flash flood hazard analysis in Timang Gajah Sub Watershed consist of 4 categories dominated by safe area as 29,366.55 Ha (81.89%) and vulnerable area as 2,954.83 Ha (8.24 %).
The Science Behind Flappy Bird

Mobile games have become immensely popular over the past decade, due to the widespread adoption of smartphones. Over the years, many games have come into the spotlight due to their addicting and fun nature. Flappy Bird was one of the most popular games in the world around its release, played by millions of users all around the world. The game was released in 2013, but was removed by the creator due to guilt over the widespread addiction. Due to its popularity there have been hundreds of copies released on the internet that are still popular due to the popularity of the original game. Flappy Bird is a mobile game originally developed by Dong Nguyen, a Vietnamese videogame programmer. Flappy Bird is a side scrolling game, like the popular game Super Mario Brothers, where the player controls a bird in a 2D environment. Unlike Mario, the player only has control over the bird’s vertical movement. The main goal is for the bird to travel as far as it can without hitting any green pipes. While the goal and controls are simple the game becomes increasingly difficult and frantic as the bird moves faster the farther it travels. Python is a computer programming language used for many software applications and can be used to create video games on the internet when paired with tools such as Python Arcade. Flappy Bird is one of the games that can be created using Python, and when coded correctly the game can be an almost perfect version of Flappy Bird. During the coding process we created a game design plan with two to three week intervals for our Flappy Bird project. The beginning stages involved establishing a solid plan, sectioning off code, and setting up a skeleton by putting down basic coding. The later stages involved adding on to the skeleton by putting more advanced code down, adding secondary items such as sprites, coloring, and lighting, and adding the finishing touches to the game. We were able to fully recreate Flappy Bird in python as well as add a few of our own ideas to the game by following our game design plan. While we were able to find the original game’s assets, we had to identify most of the original logic by visually watching the game being played, which was more difficult than expected. For our original ideas, we added a second chance feature that allows players to continue after dying if they solve a special challenge. A video will be made available of our recreation of Flappy Bird during the poster presentation and the code will be available on GitHub.
Principle of Machine Learning and Its Potential Application in Cli-mate Prediction

After two “cold winters of artificial intelligence”, machine learning has once again entered the public’s vision in recent ten years, and has a momentum of rapid development. It has achieved great success in practical applications such as image recognition and speech recognition system. It is one of the main tasks and objectives of machine learning to summarize key information and main features from known data sets, so as to accurately identify and predict new data. From this perspective, the idea of integrating machine learning into climate prediction is feasible. Firstly, taking the adjustment of linear fitting parameters (i.e. slope and intercept) as an example, this paper introduces the process of machine learning optimizing parameters through gradient descent algorithm and finally obtaining linear fitting function. Secondly, this paper introduces the construction idea of neural network and how to apply neural network to fit nonlinear function. Finally, the framework principle of convolutional neural network for deep learning is described, and the convolutional neural network is applied to the return test of monthly temperature in winter in East Asia, and compared with the return results of climate dynamic model. This paper will help to understand the basic principle of machine learning and provide some reference ideas for the application of machine learning to climate prediction.
Approaches and Frameworks for HCI Research

The chapter introduces human–computer Interaction (HCI) and HCI research and describes their current states. Challenges to HCI research are identified as the need to address the growth and diversification of HCI and of the associated research, while decreasing the fragmentation of fields and theories. The aims of the book are presented as support for researchers to build on and to validate each other’s work and so to increase consensus, leading to increased HCI discipline progress. The concepts of approach and framework are outlined, together with their relations. The chapter sets the scene for the following two chapters, which address respectively approaches and frameworks separately and in greater depth.
Retraction: A Comparative Analysis of Pre-Processing Time in Summary of Hindi Language using Stanza and Spacy (IOP Conf. Ser.: Mater. Sci. Eng. 1110 012019)

This article has been retracted by IOP Publishing/the authors following an allegation that this article contains tortured phrases [1], masking overlap without citation [2,3,4]. IOP Publishing has investigated in line with the COPE guidelines, and agree this article should be retracted. IOP Publishing wishes to credit PubPeer commenters [5] and the Problematic Paper Screener for bringing the issue to our attention. The authors agree to this retraction. [1] Cabanac G, Labbe C, Magazinov A, 2021, arXiv:2107.06751v1 [2] Desai N and Shah P, 2016, Automatic Text Summarization using Supervised Machine Learning Technique for Hindi Language IJRET , 5 6 [3] Sargule S and Kagalkar R.M, 2016, Strategy for Hindi Text Summarization using Content Based Indexing Approach IJCSE 4 9 [4] Qi P, Zhang Y, Zhang Y, Bolton J, Manning C.D, 2020, Stanza: A Python Natural Language Processing Toolkit for Many Human Languages, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics [5] https://pubpeer.com/publications/F00151A8CE7B8D6B4896A6AF306FE9 Retraction published: 10 June 2022
An Overview of the State of Machine Learning in Bug Report Summarization

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Campus Recruitment System Using Android App

The use of Internet, World Wide Web and Mobile Technologies revolutionized the provision of information and the facility for the user to take action on the information required. The use of internet enables users to manage placement process. This led to a unique web based placement management system grown specifically by the placements practitioner and the software programmer to become Training and Placement (TOP) system. TOP system is an application that can be accessed throughout the organization with proper login provided. This system can be used as an application for the Training and placement officers (TPO) of the college to collect the student information with regard to. Students logging should be able to transmit their information in the form of a Resume. In manual Training and Placement, all the work done by human intervention due to which there were maximum chances of errors.
CHARACTERISTICS OF THE HIGHER EDUCATION SYSTEM IN THE RUSSIAN FEDERATION: REGIONAL ASPECT

Universities around the world are currently placed in a difficult position of social institutions. New challenges of the time caused by a highly competitive educational space determine the need for the formation of a new target model of university development aimed at the formation of industry and/or scientific leadership. This article analyzes the characteristics of higher education systems in the Russian Federation in the context of federal districts.
An Adaptive Multi-component LFM Signal Parameter Estimation Based on STFRFT

In this paper, based on the multi-component linear frequency modulation (LFM) signal parameter estimation method, the fuselage echo model established and the rotor echo model within a short observation time are approximated to the characteristics of the LFM signal. Aiming at the problem of low accuracy of parameter estimation caused by the mutual influence of the component signals in the parameter estimation of multi-component LFM signals, an adaptive multi-component LFM based on short-time fractional Fourier transform (STFRFT) is proposed. This method combines the idea of parameter estimation from coarse to fine, adopts the strategy of reconstructing the signal and removing the estimated LFM component signal from the original signal, and realizes the parameter estimation of each LFM component signal in turn. According to the proposed presence or absence of the LFM component signal, the adaptive decision parameter estimation is terminated. The simulation experiment results verify the effectiveness of the method proposed in this paper.
Accurate knowledge about feature diagnosticities leads to less preference for unidimensional strategy.

In classification learning of artificial stimuli, participants learn the perfectly diagnostic dimension better than the partially diagnostic dimensions. Also, there is a strong preference for a unidimensional categorization based on the perfectly diagnostic dimension. In a different experimental procedure, called array-based classification task, participants do not exhibit a preference for a unidimensional categorization. In Experiment 1, we replicate the above results. In Experiment 2, we show that when participants learn the partially diagnostic features through repeated testing, there is a decrease in unidimensional categorization. We use Bayesian modeling to show that only those participants who learned the diagnosticity of a dimension with a high level of accuracy (≥ 75%) used the dimension for categorization. Our results show that whenever accurate knowledge about feature diagnosticities is available, there is a lesser preference for unidimensional categorization. Our results provide a possible explanation for the preference of unidimensional categorization in classification and observation learning. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Monitoring Learning Outcomes in the Virtual Environment Moodle

The authors investigate the problem of monitoring learning outcomes, which contributes to improving the quality of training of university graduates. The tools of the Moodle e-learning environment to monitor learning activity of students are considered. The possibilities that Moodle services provide to the teacher to improve the quality of course resources, as well as the effectiveness of student learning are identified. The Moodle educational environment (modular object-oriented dynamic learning environment) is a free learning management system focused primarily on interaction between the teacher and students, although it is also suitable for conducting traditional distance courses, as well as supporting in-person training. The study shows that by means of Moodle, a teacher can create courses, filling them with content in the form of texts, auxiliary files, presentations, questionnaires, tests, etc. As a part of the study, the authors created an electronic training course “Fundamentals of Financial Computing” with an emphasis on the use of the interactive control and measurement complex of the development of the discipline. The monitoring of students’ cognitive potential as a component of mathematical competence was carried out. The results of pedagogical measurements are presented, which demonstrate the positive dynamics of the quality of subject education in the conditions of informatization of life spheres.
Application of Information and Communication Technologies for the Analysis of Socio-Psychological Features of the Perception of Distance Learning by University Students

The article is devoted to the analysis of the socio-psychological characteristics of the perception of distance learning by university students in the context of the increasing use of distance learning technologies, including during the pandemic. In the course of the study, a questionnaire was developed to identify the assessment of students’ perception of various factors associated with distance learning, and an Internet survey of university students in Omsk and Norilsk was conducted, the sample size was 188 respondents. &#x0D; Analysis of the results of the survey allows us to conclude that 16% of students highly appreciate the importance of the factor of negative influence on the psychological state of distance learning students and more than 32% of respondents note the importance of the lack of “live” communication for them. In addition, 28.4% of students rated at 4 and 5 points on a 5-point system the importance for them of problems with self-organization in distance learning. Based on the results of the study, proposals were developed aimed at minimizing the negative impact on the socio-psychological state of students in distance learning.
Individual Educational Route As a Means of Developing Digital Competence of University Library Staff

The problem of determining the structure and content of the professional competence of library specialists in the context of digitalization is becoming more and more urgent and does not find its solution due to the lack of a valid professional standard for a specialist in library and information activities. The need to clearly describe the structure of the digital competence of the modern librarian, as well as how to develop it, determined the problems of this article.&#x0D; The methodological and theoretical basis of this study was compiled by leading theories and scientific schools on a competent approach, set forth in the works of domestic and foreign scientists.&#x0D; The paper describes the structure of digital competence of the university library staff, which includes cognitive, functional-activity, motivation-value and communicative components. The organizational and methodological conditions for the development of digital competence among the staff of the university library are justified and described. The authors developed the contents of educational routes built taking into account the specifics of the digital activities of the categories of university employees.
Can remote ID biometrics stop the flood of financial fraud?

Jay Meier of FaceTec believes remote biometric identity verification is needed to counter the escalating threat of financial crime. He explains the liveness detection technology available to do this, and the key role that mobile driver's licences could play in proving identity once and for all.