Reviewerly/exHarmony huggingface dataset:
Модель цифровых навыков кибербезопасности 2020

The rapid pace of the comprehensive digitalization of society leads to increasing technological complexity and scale of cyber threats, both in the private and public sectors of the economy. Therefore, the training of highly qualified cybersecurity personnel is becoming a priority task for the education system and personnel management, and there is also a need for continuous improvement of training programs for professionals in the field of cybersecurity. The article presents the results of the development of a digital skills model for the field of cybersecurity (information security), the actual description of the architecture of the model, which determines the composition of categories and domains of skills in demand for professional cybersecurity personnel, as well as the composition of skills for the main profile categories of the model. The skills model was developed in order to determine the requirements for curricula for the training of professional personnel, as well as to develop on its basis a body of knowledge on cybersecurity and a new generation curriculum - the most important methodological tools of the education system.
CROWDSS: A crowdsourced, ecologically-valid dialogue dataset for German

The dataset is structured as follows: Each dialogue is saved as a dictionary (with the dialogue id as key) containing 1) the scenario which was used for eliciting the corresponding dialogue and 2) the log.The log is a list of turns made by user and assistant, where each turn again is a dictionary containing the actual turn (text), who uttered it (role) as well as the corresponding dialogue act annotations, following the scheme in Pareti and Lando (2019) but with some modifications (see annotation guidelines). The dialogue acts are saved as a list with the label as well as the start and end indices in the text.The dialogues were collected on a turn-by-turn basis and using a one-to-many ratio (see paper). The dialogue ids consist of numbers separated by dots. The first number corresponds to the the 30 dialogue beginnings that where collected in batch 1 (see paper). Since we assigned each of these dialogues to multiple participants in batch 2, dialogues sharing the first number in their id share both the same scenario and the first turn, etc.
Development of a web portal for presenting earthquake observation data

Summary This paper presents ways to create a modern, secure application for visualization of monitoring data on earthquake observations on the example of a geo-portal. The main criteria of the created website are UX- interface, cross-platform, fast and free access to geospatial information, selection of educational information about each seismic event. The creation of the database-based model is the result of interaction of Python for Django technology and PostGIS. The MVT architectural template was used to design the website. Distinction between geospatial and textual information allowed to store new articles and publications directly in the database, with access to them from any platform. For the client part of the application, standardized technologies of HTML, CSS, JavaScript and their libraries are used. The built-in script for processing files GeoJSON API JavaScript for ArcGIS loads the map and displays geospatial data. This web application does not require external resources, with the ability to add your own seismic maps, magnetometric data, etc. According to this, it is possible to use a web portal to analyse the zoning of seismic hazards, provide information about catastrophic consequences, and create algorithms for their prevention and prediction.
The facilitation of the formation process of the conceptual foundation of students

The article presents practicing pianists and teachers` recommendations and advice on how to form the process of the conceptual foundation of students of higher education institutions. Scherzo No. 1 in B minor op. 20 F. Chopin is one of the brightest masterpieces of the romantic piano repertoire was chosen as an example. In the tradition of Russian music pedagogy, the authors encourage the young pianist to work on the Scherzo from the idea of composing it to details and nuances connected with professional aspects of the artistic conception; they want to encourage the constant striving for thoughtful, comprehensive rich content and perfect form of the performed opus. Thus, to actualize students' personal, cognitive and creative potential, the teacher facilitates the process of acquiring their unique interpretations of a given musical opus. Such a method of facilitation is in demand in Western pedagogy; it was actively developed by such scientists as C. Rogers, J. Freiberg, F. Flemming, T. Kaiser, and others. The main ideas of facilitation are reflected in the pages of their works “Freedom to Learn” [1], “Transformative Dialogues” [2], ” Mining Group Gold: How to Cash in on the Collaborative Brain Power of a Team for Innovation and Results ” [3] and many others. The “Methods” section presents a detailed model to analyze the musical form of the Scherzo, the problems on the content and artistic image that is based on a thorough study of the musical text and its sound embodiment through.
Cognitive Analysis of 360 degree Surround Photos

360 degrees surround photography or photospheres have taken the world by storm as the new media for content creation providing viewers rich, immersive experience compared to conventional photography. With the emergence of Virtual Reality as a mainstream trend, the 360 degree photography is increasingly important in offering a practical approach for the general public to capture virtual reality ready content from their mobile phones without explicit tool support or knowledge. Even though the amount of 360 degree surround content being uploaded to the Internet continues to grow, there is no proper way to index them or to process them for further information. This is because of the difficulty in image processing the photospheres due to the distorted nature of objects embedded. This challenge lies in the way 360 degree panoramic photospheres are saved. This paper presents a unique, and innovative technique named Photosphere to Cognition Engine (P2CE), which allows cognitive analysis on 360 degree surround photos using existing image cognitive analysis algorithms and APIs designed for conventional photos. We have optimized the system using a wide variety of indoor and outdoor samples and extensive evaluation approaches. On average, P2CE provides up-to 100% growth in accuracy on image cognitive analysis of photospheres over direct use of conventional non-photosphere based Image Cognition Systems.
THE EFFECT OF MOVIE DIRECTOR STRATEGY ON STUDENTS’ ABILITY IN READING COMPREHENSION

The purpose of this study is to find out a significant effect of the strategy named Movie Director Strategy on Students’ Ability in Reading Comprehension. The population of the research is the eighth grader of Junior High School which provided 314 students. The samples consisted of 62 students of the Eighth Grader are being taken randomly. Before treatment, the researcher has delivered the pretest for both of groups to find the normality and homogeneity of the data. The students’ mean score computations of experiment’s pretest was 57.90 with Lcount= 0.1021 and the control’s pre-test was 47.26 with Lcount= 0.0776, and Ltable= 0.159. Therefore, the pre-test for both of the groups was stated as a Normal Distribution. More over, the researcher examined homogeneity. Pre-test computation indicates that Fcount=1.04 and Ftable=1.87. The pre-test was stated Homogenous. After treatment to the experimental group, the researcher has taken the data of the students’ ability by using post-test. The post-test given to the students is the students’ answers the questions. Based on the result of the data implied that (1) The estimated of the students’ ability in reading comprehension by using Movie Director Strategy is 73.71 which is stated good. (2) The average of the students’ ability in reading comprehension on Conventional Strategy namely 67.26 which is stated adequate. Based on the result of the hypothesis testing, tcount= 2.673 and ttable=2.000. Hence tcount>ttable(2.673>2.000), implied that Ha is acceptable and H0 is unacceptable. The conclusion is there is a significant effect of Movie Director Strategy on students’ ability in reading comprehension for the eighth grader. Some suggestions, namely (a) The students should engage learning English by using some strategy (b) The English teachers are able to apply the procedures of Movie Director Strategy in teaching reading to the students (c) The teacher should select the appropriate material related to Movie Director.
Retrospectives and Prospects in the Preliminary Design of Human-Machine Interface of Manned Spacecraft

The article reviews retrospectives and prospects of design and technological solutions for man-machine interfaces of manned spacecraft in order to determine possible trends in their development for information support of crews of lunar expeditions in manual modes of spacecraft operation in conditions of limited opportunities for operational interaction with a groundbased fl ight control center. Prospects and trends of this kind are especially important to be known and taken into account at the stage of the preliminary design of the considered human-machine interfaces.
Identification of Malicious Bots in Twitter using Wavelets

A social network is a platform for users to express their ideas and opinions towards the world. The social network is activated across various computer networks. By using Online social network (OSN) a user can share digital photos/videos/texts to their friends. Users in OSN can perform fast communication between each users. The proposed method classify twitter accounts as human legitimate bot or malicious bot using tweets. Most of the previous works focus on classify twitter accounts to two: bot or human. But bots may be harmful or harmless. Harmless bots (legitimate bot) doesn’t leads to any malicious activities on users; sometimes it cause traffic problems. Actual goal of legitimate bot is similar to the goal of social media that is, spreading news. So there is a need to classify bot account to two malicious bot and legitimate bot. Here we use wavelet properties for the tweet document and find features like, corpus size, lexicon size, URL count and wavelet domain score from the document. All the selected features are applied to supervised machine learning algorithm and classify the tweet as human, legitimate bot or malicious bot. Best algorithm is selected by comparing their accuracy.
Adaptive frame assessment tactics for high quality therapeutic video compression

Video compression came into existence three decades ago. It became a challenging and demanding task due to massive information content, as in the case of medical procedures and other essential footage. Digital storage of medical information has become a staggering task, since the requirements for information storage have become limited and expensive in the fast growing engineering technology. This daunting situation is a result of the unavailability of above par methodologies to store mega sized videos. Hence, video compression makes itself vital for the modern age. An exhaustive investigation using adaptive frame determination (AFD) is proposed in this research work for obtaining high quality compressed video. The perception of choosing the frames varies from the traditional method of video compression. Adaptive frame determination ascertains frames based on correlation for obtaining enhanced visual quality. Appropriate choice of the frames (intra frame, predictive frame, bi-directional frame) based on the motion type leads to better reconstruction quality which is validated by the two most reliable performance metrics, peak signal to noise ratio (PSNR) and structural similarity index (SSIM).
Professional Self-Development in the Imagination of Future Primary School Teachers

The leading task of modern teacher education is to provide opportunities for personal and professional self-development of teachers. The article analyzes various approaches to understanding the concepts of "self-development" and "professional self-development", substantiates the author's position on this issue. The results of a questionnaire survey on the representation of future primary school teachers in relation to their professional self-development are presented.
KEMAMPUAN MENGIDENTIFIKASI INFORMASI PADA TEKS EKSPOSISI KELAS IX SMP NEGERI 1 SEPUTIH MATARAM TAHUN PELAJARAN 2018/2019

his study aims to improve the ability to identify information on the exposition text of class IX students of Mataram Seputih 1 Middle School through the surrounding environment. The use of exposition text structure is expected to facilitate students in understanding the material and be able to identify information in the exposition text so that students' abilities increase. This research was conducted at Seputih 1 Public Middle School Mataram. The research subjects were class IX, which amounted to 20 students. Research data is obtained through documentation in the form of student assignments. The research method used is descriptive qualitative method, the data collection technique used is performance test technique. Based on the data analysis and discussion that has been done, it can be concluded that the ability to identify information in the exposition text has not been fully successful. It is based on the performance data of students who have been corrected and obtained scores based on the established indicators so that there are some students who have not understood the exposition text structure. In the selection of words and the effectiveness of sentences, there are still many errors in expoition texts written by students so that the written text becomes ambiguous and ambiguous when read. In the 5W + 1H element, there are some students who don't use it properly because students don't fully understand and know the placement of 5W + 1H elements well. So that the reader has trouble finding detailed information. In spelling and order writing there are several errors including the placement of capital letters, punctuation marks, comma punctuation, placement of affixes, and writing of dates and names that are not quite right. Students do not understand correctly the spelling and writing rules that apply in the language rules so as to cause errors and deviations when writing paragraphs.
Image-based flow decomposition using empirical wavelet transform

We propose an image-based flow decomposition developed from the two-dimensional (2-D) tensor empirical wavelet transform (EWT) (Gilles, IEEE Trans. Signal Process., vol. 61, 2013, pp. 3999–4010). The idea is to decompose the instantaneous flow data, or their visualisation, adaptively according to the averaged Fourier supports for the identification of spatially localised structures. The resulting EWT modes stand for the decomposed flows, and each accounts for part of the spectrum, illustrating fluid physics with different scales superimposed in the original flow. With the proposed method, decomposition of an instantaneous three-dimensional (3-D) flow becomes feasible without resorting to its time series. Examples first focus on the interaction between a jet plume and 2-D wake, where only experimental visualisations are available. The proposed method is capable of separating the jet/wake flows and their instabilities. Then the decomposition is applied to an early-stage boundary layer transition, where direct numerical simulations provided a full dataset. The tested inputs are the 3-D flow data and their visualisation using streamwise velocity and vortex identification criterion. With both types of inputs, EWT modes robustly extract the streamwise-elongated streaks, multiple secondary instabilities and helical vortex filaments. Results from 2-D stability analysis justify the EWT modes that represent the streak instabilities. In contrast to proper orthogonal decomposition or dynamic modal decomposition that extract spatial modes according to energy or frequency, EWT provides a new strategy for decomposing an instantaneous flow from its spatial scales.
Recent Trends and Techniques in Text Detection and Text Localization in a Natural Scene: A Survey

Text information extraction from natural scene images is a rising area of research. Since text in natural scene images generally carries valuable details, detecting and recognizing scene text has been deemed essential for a variety of advanced computer vision applications. There has been a lot of effort put into extracting text regions from scene text images in an effective and reliable manner. As most text recognition applications have high demand of robust algorithms for detecting and localizing texts from a given scene text image, so the researchers mainly focus on the two important stages text detection and text localization. This paper provides a review of various techniques of text detection and text localization.
ICT-supported Learning: Concepts going viral

The COVID-19 pandemic set off unexpected and unprecedented changes in all sectors of the economy, including education. Digitalization and digitization have become the main driving force of the transformation in education practices. The COVID-19 pandemic ushered in a dramatic shift in the way education is delivered. The sudden move to online platforms brought concepts like digital-, online-, mixed-. hybrid-, blended education/learning to the forefront, while other concepts such as elearning, distance and mobile learning are still popular. This paper considers the usage, popularity and spread of these terms, and through backing them with ICT advancement, LMS and Moodle improvements and the time-space-group triangle of elearning, it depicts the viral nature of these narratives. The paper concludes that the use of the terms follows the nature of epidemics.
Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems

Many real-world problems are notoriously multi-objective and NP-hard. Hence, there is a constant striving for optimizers capable of solving such problems effectively. In this paper, we examine the Multi-Objective Parameter-less Population Pyramid (MO-P3). MO-P3 is based on the Parameter-less Population Pyramid (P3) that was dedicated to solving single-objective problems. P3 employs linkage learning to decompose the problem and uses this information during its run. P3 maintains many different linkage information sets, which is the key to effectively solve the problems of the overlapping nature, i.e., the problems whose variables form a large and complicated network of dependencies rather than additively separable blocks. MO-P3 inherits the features of its predecessor and employs both linkage learning and linkage diversity maintenance to effectively solve hard multi-objective problems, which includes both: well-known test problems and NP-hard real-world problems.
Phishing Website Detection using Emerging Machine Learning Models

Due to Phishing, many users are losing their money, reputation which costs billions of dollars per year. These luring techniques are used by hackers to get personal data or information in a pond of unsuspecting internet users. Usually, hackers use the spoofed e-mail ids, various offers using phishing websites and software to get personal information of the internet users and also target confidential data like usernames and passwords, family information, contact details and emails, and many more. Every day we listen to various cyber-attacks in the world. A phishing attack is one of those cyber-attacks where the attacker develops a fake website by mimicking a trusted website. The whole aim of such websites is to steal financial assets from users. Such attacks are called phishing attacks. Phishing attack also costs the online attack and many big organizations some millions of dollars. We can eradicate this crime by taking proper countermeasures like building machine learning systems that can detect phishing more accurately. Machine learning is a tool that is showing very favorable results in every field where detection is a primary aspect. We experimented with a large dataset that has all the parameters to detect a website is a phishing one or not. We train the models for a better understanding of the detection using security IP. This parameter helps to detect phishing websites and find cybercriminals with high accuracy. In this research paper, we have used machine learning models which give high accuracy to predict whether the website is a phishing(malicious) website or if it is a safe website using the given parameters. We compared all the widely used machine learning algorithms to propose which algorithm gives the highest accuracy.
Design and Test of Automatic Dispensing and Injecting System for Positron Radiopharmaceuticals

Objective To design a novel automatic dispensing and injecting system of positron radiopharmaceuticals,for precise dose dispensing,simplified operation,and reduction of occupational radiation exposure. Methods The automatic dispensing and injecting system was fabricated with tungsten alloy as the shielding material.The performance and radiation protection of the device were assessed. Results The total time of injection using the automatic dispensing and injecting system was about 60 s.The ratio of successful injection in stability test was 100%.The deviation of the dispensing dose with the system was ≤3%.With the tungsten alloy shield(40 mmPb of the cabinet,60 mmPb of the countertop,15 mmPb of the protective shield,and 50 mmPb of the inbuilt jar for radiopharmaceuticals),the average dose rate at 30 cm from the device was 1.44 μSv/h,and the radiation dose at the operator's extremity was reduced by 99%. Conclusions This automatic dispensing and injecting system of positron radiopharmaceuticals is easy to operate with precise dispensing dose.It is safe and meets the requirements of radiation protection.
'Influencer Marketing' on Social Media: Consumer Protection Issues from the Perspective of EU Law

Influencer marketing is a modern sales promotion method practised by contemporary prominent people and celebrities primarily on social media. It exploits the technological infrastructure of these electronic communities, as well as the influencer’s fame and recognition, so as to reach the consumer aptly and effectively. International research and statistics have shown that a significant percentage of consumers, particularly young people, are indeed guided by influencers in their purchases. This encourages enterprises to invest in the said sales promotion method, thus enabling a new profitable industry to emerge. Nevertheless, influencer marketing reserves specific challenges for the consumer’s financial freedom, which this study endeavours to highlight and comment upon. The rights granted by Directive 2005/29 to influencers’ followers in their capacity as consumers are presented and the conditions under which influencer marketing constitutes an unfair commercial practice are examined.